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Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification

Haowei Zhu,

Wenjing Ke,

Dong Li,

Ji Liu,

Lu Tian,

Yi Shan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Haowei and Ke, Wenjing and Li, Dong and Liu, Ji and Tian, Lu and Shan, Yi}, title = {Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4692-4702} }

SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization

Canjie Luo,

Lianwen Jin,

Jingdong Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Luo_2022_CVPR, author = {Luo, Canjie and Jin, Lianwen and Chen, Jingdong}, title = {SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1039-1048} }

GASP, a Generalized Framework for Agglomerative Clustering of Signed Graphs and Its Application to Instance Segmentation

Alberto Bailoni,

Constantin Pape,

Nathan Hütsch,

Steffen Wolf,

Thorsten Beier,

Anna Kreshuk,

Fred A. Hamprecht

[pdf] [supp]

[bibtex]

@InProceedings{Bailoni_2022_CVPR, author = {Bailoni, Alberto and Pape, Constantin and H\"utsch, Nathan and Wolf, Steffen and Beier, Thorsten and Kreshuk, Anna and Hamprecht, Fred A.}, title = {GASP, a Generalized Framework for Agglomerative Clustering of Signed Graphs and Its Application to Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11645-11655} }

Estimating Example Difficulty Using Variance of Gradients

Chirag Agarwal,

Daniel D'souza,

Sara Hooker

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Agarwal_2022_CVPR, author = {Agarwal, Chirag and D'souza, Daniel and Hooker, Sara}, title = {Estimating Example Difficulty Using Variance of Gradients}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10368-10378} }

One Loss for Quantization: Deep Hashing With Discrete Wasserstein Distributional Matching

Khoa D. Doan,

Peng Yang,

Ping Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Doan_2022_CVPR, author = {Doan, Khoa D. and Yang, Peng and Li, Ping}, title = {One Loss for Quantization: Deep Hashing With Discrete Wasserstein Distributional Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9447-9457} }

Pixel Screening Based Intermediate Correction for Blind Deblurring

Meina Zhang,

Yingying Fang,

Guoxi Ni,

Tieyong Zeng

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Meina and Fang, Yingying and Ni, Guoxi and Zeng, Tieyong}, title = {Pixel Screening Based Intermediate Correction for Blind Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5892-5900} }

Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast

Ye Du,

Zehua Fu,

Qingjie Liu,

Yunhong Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Du_2022_CVPR, author = {Du, Ye and Fu, Zehua and Liu, Qingjie and Wang, Yunhong}, title = {Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4320-4329} }

Controllable Animation of Fluid Elements in Still Images

Aniruddha Mahapatra,

Kuldeep Kulkarni

[pdf] [arXiv]

[bibtex]

@InProceedings{Mahapatra_2022_CVPR, author = {Mahapatra, Aniruddha and Kulkarni, Kuldeep}, title = {Controllable Animation of Fluid Elements in Still Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3667-3676} }

Holocurtains: Programming Light Curtains via Binary Holography

Dorian Chan,

Srinivasa G. Narasimhan,

Matthew O'Toole

[pdf] [supp]

[bibtex]

@InProceedings{Chan_2022_CVPR, author = {Chan, Dorian and Narasimhan, Srinivasa G. and O'Toole, Matthew}, title = {Holocurtains: Programming Light Curtains via Binary Holography}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17886-17895} }

Recurrent Dynamic Embedding for Video Object Segmentation

Mingxing Li,

Li Hu,

Zhiwei Xiong,

Bang Zhang,

Pan Pan,

Dong Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Mingxing and Hu, Li and Xiong, Zhiwei and Zhang, Bang and Pan, Pan and Liu, Dong}, title = {Recurrent Dynamic Embedding for Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1332-1341} }

Deep Hierarchical Semantic Segmentation

Liulei Li,

Tianfei Zhou,

Wenguan Wang,

Jianwu Li,

Yi Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Liulei and Zhou, Tianfei and Wang, Wenguan and Li, Jianwu and Yang, Yi}, title = {Deep Hierarchical Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1246-1257} }

f-SfT: Shape-From-Template With a Physics-Based Deformation Model

Navami Kairanda,

Edith Tretschk,

Mohamed Elgharib,

Christian Theobalt,

Vladislav Golyanik

[pdf] [supp]

[bibtex]

@InProceedings{Kairanda_2022_CVPR, author = {Kairanda, Navami and Tretschk, Edith and Elgharib, Mohamed and Theobalt, Christian and Golyanik, Vladislav}, title = {f-SfT: Shape-From-Template With a Physics-Based Deformation Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3948-3958} }

Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism

Binbin Yang,

Xinchi Deng,

Han Shi,

Changlin Li,

Gengwei Zhang,

Hang Xu,

Shen Zhao,

Liang Lin,

Xiaodan Liang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Binbin and Deng, Xinchi and Shi, Han and Li, Changlin and Zhang, Gengwei and Xu, Hang and Zhao, Shen and Lin, Liang and Liang, Xiaodan}, title = {Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9255-9264} }

DATA: Domain-Aware and Task-Aware Self-Supervised Learning

Qing Chang,

Junran Peng,

Lingxi Xie,

Jiajun Sun,

Haoran Yin,

Qi Tian,

Zhaoxiang Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chang_2022_CVPR, author = {Chang, Qing and Peng, Junran and Xie, Lingxi and Sun, Jiajun and Yin, Haoran and Tian, Qi and Zhang, Zhaoxiang}, title = {DATA: Domain-Aware and Task-Aware Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9841-9850} }

TWIST: Two-Way Inter-Label Self-Training for Semi-Supervised 3D Instance Segmentation

Ruihang Chu,

Xiaoqing Ye,

Zhengzhe Liu,

Xiao Tan,

Xiaojuan Qi,

Chi-Wing Fu,

Jiaya Jia

[pdf] [supp]

[bibtex]

@InProceedings{Chu_2022_CVPR, author = {Chu, Ruihang and Ye, Xiaoqing and Liu, Zhengzhe and Tan, Xiao and Qi, Xiaojuan and Fu, Chi-Wing and Jia, Jiaya}, title = {TWIST: Two-Way Inter-Label Self-Training for Semi-Supervised 3D Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1100-1109} }

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection From Point Clouds

Chenhang He,

Ruihuang Li,

Shuai Li,

Lei Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Chenhang and Li, Ruihuang and Li, Shuai and Zhang, Lei}, title = {Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection From Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8417-8427} }

Learning Adaptive Warping for Real-World Rolling Shutter Correction

Mingdeng Cao,

Zhihang Zhong,

Jiahao Wang,

Yinqiang Zheng,

Yujiu Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Mingdeng and Zhong, Zhihang and Wang, Jiahao and Zheng, Yinqiang and Yang, Yujiu}, title = {Learning Adaptive Warping for Real-World Rolling Shutter Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17785-17793} }

Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning

Xiangyu Li,

Xu Yang,

Kun Wei,

Cheng Deng,

Muli Yang

[pdf]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Xiangyu and Yang, Xu and Wei, Kun and Deng, Cheng and Yang, Muli}, title = {Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9326-9335} }

Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions

Huaizu Jiang,

Xiaojian Ma,

Weili Nie,

Zhiding Yu,

Yuke Zhu,

Anima Anandkumar

[pdf] [supp]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Huaizu and Ma, Xiaojian and Nie, Weili and Yu, Zhiding and Zhu, Yuke and Anandkumar, Anima}, title = {Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19056-19065} }

RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures

Chengjie Niu,

Manyi Li,

Kai Xu,

Hao Zhang

[pdf]

[bibtex]

@InProceedings{Niu_2022_CVPR, author = {Niu, Chengjie and Li, Manyi and Xu, Kai and Zhang, Hao}, title = {RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11779-11788} }

Do Learned Representations Respect Causal Relationships?

Lan Wang,

Vishnu Naresh Boddeti

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Lan and Boddeti, Vishnu Naresh}, title = {Do Learned Representations Respect Causal Relationships?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {264-274} }

ZebraPose: Coarse To Fine Surface Encoding for 6DoF Object Pose Estimation

Yongzhi Su,

Mahdi Saleh,

Torben Fetzer,

Jason Rambach,

Nassir Navab,

Benjamin Busam,

Didier Stricker,

Federico Tombari

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Su_2022_CVPR, author = {Su, Yongzhi and Saleh, Mahdi and Fetzer, Torben and Rambach, Jason and Navab, Nassir and Busam, Benjamin and Stricker, Didier and Tombari, Federico}, title = {ZebraPose: Coarse To Fine Surface Encoding for 6DoF Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6738-6748} }

ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

Yoad Tewel,

Yoav Shalev,

Idan Schwartz,

Lior Wolf

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tewel_2022_CVPR, author = {Tewel, Yoad and Shalev, Yoav and Schwartz, Idan and Wolf, Lior}, title = {ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17918-17928} }

Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification

Yang Liu,

Weifeng Zhang,

Chao Xiang,

Tu Zheng,

Deng Cai,

Xiaofei He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yang and Zhang, Weifeng and Xiang, Chao and Zheng, Tu and Cai, Deng and He, Xiaofei}, title = {Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14411-14420} }

CAPRI-Net: Learning Compact CAD Shapes With Adaptive Primitive Assembly

Fenggen Yu,

Zhiqin Chen,

Manyi Li,

Aditya Sanghi,

Hooman Shayani,

Ali Mahdavi-Amiri,

Hao Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Fenggen and Chen, Zhiqin and Li, Manyi and Sanghi, Aditya and Shayani, Hooman and Mahdavi-Amiri, Ali and Zhang, Hao}, title = {CAPRI-Net: Learning Compact CAD Shapes With Adaptive Primitive Assembly}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11768-11778} }

ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework

Chunnan Wang,

Xiang Chen,

Junzhe Wang,

Hongzhi Wang

[pdf]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Chunnan and Chen, Xiang and Wang, Junzhe and Wang, Hongzhi}, title = {ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6563-6572} }

Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning

Moslem Yazdanpanah,

Aamer Abdul Rahman,

Muawiz Chaudhary,

Christian Desrosiers,

Mohammad Havaei,

Eugene Belilovsky,

Samira Ebrahimi Kahou

[pdf]

[bibtex]

@InProceedings{Yazdanpanah_2022_CVPR, author = {Yazdanpanah, Moslem and Rahman, Aamer Abdul and Chaudhary, Muawiz and Desrosiers, Christian and Havaei, Mohammad and Belilovsky, Eugene and Kahou, Samira Ebrahimi}, title = {Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9109-9118} }

Bridging the Gap Between Classification and Localization for Weakly Supervised Object Localization

Eunji Kim,

Siwon Kim,

Jungbeom Lee,

Hyunwoo Kim,

Sungroh Yoon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Eunji and Kim, Siwon and Lee, Jungbeom and Kim, Hyunwoo and Yoon, Sungroh}, title = {Bridging the Gap Between Classification and Localization for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14258-14267} }

Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation

Lian Xu,

Wanli Ouyang,

Mohammed Bennamoun,

Farid Boussaid,

Dan Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Lian and Ouyang, Wanli and Bennamoun, Mohammed and Boussaid, Farid and Xu, Dan}, title = {Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4310-4319} }

3D Moments From Near-Duplicate Photos

Qianqian Wang,

Zhengqi Li,

David Salesin,

Noah Snavely,

Brian Curless,

Janne Kontkanen

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Qianqian and Li, Zhengqi and Salesin, David and Snavely, Noah and Curless, Brian and Kontkanen, Janne}, title = {3D Moments From Near-Duplicate Photos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3906-3915} }

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

Yabin Zhang,

Minghan Li,

Ruihuang Li,

Kui Jia,

Lei Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yabin and Li, Minghan and Li, Ruihuang and Jia, Kui and Zhang, Lei}, title = {Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8035-8045} }

Blind2Unblind: Self-Supervised Image Denoising With Visible Blind Spots

Zejin Wang,

Jiazheng Liu,

Guoqing Li,

Hua Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zejin and Liu, Jiazheng and Li, Guoqing and Han, Hua}, title = {Blind2Unblind: Self-Supervised Image Denoising With Visible Blind Spots}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2027-2036} }

Balanced and Hierarchical Relation Learning for One-Shot Object Detection

Hanqing Yang,

Sijia Cai,

Hualian Sheng,

Bing Deng,

Jianqiang Huang,

Xian-Sheng Hua,

Yong Tang,

Yu Zhang

[pdf]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Hanqing and Cai, Sijia and Sheng, Hualian and Deng, Bing and Huang, Jianqiang and Hua, Xian-Sheng and Tang, Yong and Zhang, Yu}, title = {Balanced and Hierarchical Relation Learning for One-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7591-7600} }

End-to-End Generative Pretraining for Multimodal Video Captioning

Paul Hongsuck Seo,

Arsha Nagrani,

Anurag Arnab,

Cordelia Schmid

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Seo_2022_CVPR, author = {Seo, Paul Hongsuck and Nagrani, Arsha and Arnab, Anurag and Schmid, Cordelia}, title = {End-to-End Generative Pretraining for Multimodal Video Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17959-17968} }

Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts

Chongzhi Zhang,

Mingyuan Zhang,

Shanghang Zhang,

Daisheng Jin,

Qiang Zhou,

Zhongang Cai,

Haiyu Zhao,

Xianglong Liu,

Ziwei Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Chongzhi and Zhang, Mingyuan and Zhang, Shanghang and Jin, Daisheng and Zhou, Qiang and Cai, Zhongang and Zhao, Haiyu and Liu, Xianglong and Liu, Ziwei}, title = {Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7277-7286} }

NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Zihan Zhu,

Songyou Peng,

Viktor Larsson,

Weiwei Xu,

Hujun Bao,

Zhaopeng Cui,

Martin R. Oswald,

Marc Pollefeys

[pdf] [supp]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Zihan and Peng, Songyou and Larsson, Viktor and Xu, Weiwei and Bao, Hujun and Cui, Zhaopeng and Oswald, Martin R. and Pollefeys, Marc}, title = {NICE-SLAM: Neural Implicit Scalable Encoding for SLAM}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12786-12796} }

HyperDet3D: Learning a Scene-Conditioned 3D Object Detector

Yu Zheng,

Yueqi Duan,

Jiwen Lu,

Jie Zhou,

Qi Tian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Yu and Duan, Yueqi and Lu, Jiwen and Zhou, Jie and Tian, Qi}, title = {HyperDet3D: Learning a Scene-Conditioned 3D Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5585-5594} }

Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion

Tianpei Gu,

Guangyi Chen,

Junlong Li,

Chunze Lin,

Yongming Rao,

Jie Zhou,

Jiwen Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gu_2022_CVPR, author = {Gu, Tianpei and Chen, Guangyi and Li, Junlong and Lin, Chunze and Rao, Yongming and Zhou, Jie and Lu, Jiwen}, title = {Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17113-17122} }

CLRNet: Cross Layer Refinement Network for Lane Detection

Tu Zheng,

Yifei Huang,

Yang Liu,

Wenjian Tang,

Zheng Yang,

Deng Cai,

Xiaofei He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Tu and Huang, Yifei and Liu, Yang and Tang, Wenjian and Yang, Zheng and Cai, Deng and He, Xiaofei}, title = {CLRNet: Cross Layer Refinement Network for Lane Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {898-907} }

Cross-Modal Map Learning for Vision and Language Navigation

Georgios Georgakis,

Karl Schmeckpeper,

Karan Wanchoo,

Soham Dan,

Eleni Miltsakaki,

Dan Roth,

Kostas Daniilidis

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Georgakis_2022_CVPR, author = {Georgakis, Georgios and Schmeckpeper, Karl and Wanchoo, Karan and Dan, Soham and Miltsakaki, Eleni and Roth, Dan and Daniilidis, Kostas}, title = {Cross-Modal Map Learning for Vision and Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15460-15470} }

Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging

Shuangrui Ding,

Maomao Li,

Tianyu Yang,

Rui Qian,

Haohang Xu,

Qingyi Chen,

Jue Wang,

Hongkai Xiong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Shuangrui and Li, Maomao and Yang, Tianyu and Qian, Rui and Xu, Haohang and Chen, Qingyi and Wang, Jue and Xiong, Hongkai}, title = {Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9716-9726} }

Incremental Transformer Structure Enhanced Image Inpainting With Masking Positional Encoding

Qiaole Dong,

Chenjie Cao,

Yanwei Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Qiaole and Cao, Chenjie and Fu, Yanwei}, title = {Incremental Transformer Structure Enhanced Image Inpainting With Masking Positional Encoding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11358-11368} }

Pointly-Supervised Instance Segmentation

Bowen Cheng,

Omkar Parkhi,

Alexander Kirillov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cheng_2022_CVPR, author = {Cheng, Bowen and Parkhi, Omkar and Kirillov, Alexander}, title = {Pointly-Supervised Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2617-2626} }

Cross-Modal Clinical Graph Transformer for Ophthalmic Report Generation

Mingjie Li,

Wenjia Cai,

Karin Verspoor,

Shirui Pan,

Xiaodan Liang,

Xiaojun Chang

[pdf]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Mingjie and Cai, Wenjia and Verspoor, Karin and Pan, Shirui and Liang, Xiaodan and Chang, Xiaojun}, title = {Cross-Modal Clinical Graph Transformer for Ophthalmic Report Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20656-20665} }

Human-Object Interaction Detection via Disentangled Transformer

Desen Zhou,

Zhichao Liu,

Jian Wang,

Leshan Wang,

Tao Hu,

Errui Ding,

Jingdong Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Desen and Liu, Zhichao and Wang, Jian and Wang, Leshan and Hu, Tao and Ding, Errui and Wang, Jingdong}, title = {Human-Object Interaction Detection via Disentangled Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19568-19577} }

DINE: Domain Adaptation From Single and Multiple Black-Box Predictors

Jian Liang,

Dapeng Hu,

Jiashi Feng,

Ran He

[pdf] [arXiv]

[bibtex]

@InProceedings{Liang_2022_CVPR, author = {Liang, Jian and Hu, Dapeng and Feng, Jiashi and He, Ran}, title = {DINE: Domain Adaptation From Single and Multiple Black-Box Predictors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8003-8013} }

LGT-Net: Indoor Panoramic Room Layout Estimation With Geometry-Aware Transformer Network

Zhigang Jiang,

Zhongzheng Xiang,

Jinhua Xu,

Ming Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Zhigang and Xiang, Zhongzheng and Xu, Jinhua and Zhao, Ming}, title = {LGT-Net: Indoor Panoramic Room Layout Estimation With Geometry-Aware Transformer Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1654-1663} }

CRIS: CLIP-Driven Referring Image Segmentation

Zhaoqing Wang,

Yu Lu,

Qiang Li,

Xunqiang Tao,

Yandong Guo,

Mingming Gong,

Tongliang Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhaoqing and Lu, Yu and Li, Qiang and Tao, Xunqiang and Guo, Yandong and Gong, Mingming and Liu, Tongliang}, title = {CRIS: CLIP-Driven Referring Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11686-11695} }

Multi-View Mesh Reconstruction With Neural Deferred Shading

Markus Worchel,

Rodrigo Diaz,

Weiwen Hu,

Oliver Schreer,

Ingo Feldmann,

Peter Eisert

[pdf] [supp]

[bibtex]

@InProceedings{Worchel_2022_CVPR, author = {Worchel, Markus and Diaz, Rodrigo and Hu, Weiwen and Schreer, Oliver and Feldmann, Ingo and Eisert, Peter}, title = {Multi-View Mesh Reconstruction With Neural Deferred Shading}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6187-6197} }

CVF-SID: Cyclic Multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise From Image

Reyhaneh Neshatavar,

Mohsen Yavartanoo,

Sanghyun Son,

Kyoung Mu Lee

[pdf] [supp]

[bibtex]

@InProceedings{Neshatavar_2022_CVPR, author = {Neshatavar, Reyhaneh and Yavartanoo, Mohsen and Son, Sanghyun and Lee, Kyoung Mu}, title = {CVF-SID: Cyclic Multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise From Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17583-17591} }

Infrared Invisible Clothing: Hiding From Infrared Detectors at Multiple Angles in Real World

Xiaopei Zhu,

Zhanhao Hu,

Siyuan Huang,

Jianmin Li,

Xiaolin Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Xiaopei and Hu, Zhanhao and Huang, Siyuan and Li, Jianmin and Hu, Xiaolin}, title = {Infrared Invisible Clothing: Hiding From Infrared Detectors at Multiple Angles in Real World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13317-13326} }

Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation

Zitian Wang,

Xuecheng Nie,

Xiaochao Qu,

Yunpeng Chen,

Si Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zitian and Nie, Xuecheng and Qu, Xiaochao and Chen, Yunpeng and Liu, Si}, title = {Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13096-13105} }

FaceFormer: Speech-Driven 3D Facial Animation With Transformers

Yingruo Fan,

Zhaojiang Lin,

Jun Saito,

Wenping Wang,

Taku Komura

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Yingruo and Lin, Zhaojiang and Saito, Jun and Wang, Wenping and Komura, Taku}, title = {FaceFormer: Speech-Driven 3D Facial Animation With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18770-18780} }

Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks

Chanyong Jung,

Gihyun Kwon,

Jong Chul Ye

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jung_2022_CVPR, author = {Jung, Chanyong and Kwon, Gihyun and Ye, Jong Chul}, title = {Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18260-18269} }

High-Resolution Face Swapping via Latent Semantics Disentanglement

Yangyang Xu,

Bailin Deng,

Junle Wang,

Yanqing Jing,

Jia Pan,

Shengfeng He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Yangyang and Deng, Bailin and Wang, Junle and Jing, Yanqing and Pan, Jia and He, Shengfeng}, title = {High-Resolution Face Swapping via Latent Semantics Disentanglement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7642-7651} }

Searching the Deployable Convolution Neural Networks for GPUs

Linnan Wang,

Chenhan Yu,

Satish Salian,

Slawomir Kierat,

Szymon Migacz,

Alex Fit Florea

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Linnan and Yu, Chenhan and Salian, Satish and Kierat, Slawomir and Migacz, Szymon and Florea, Alex Fit}, title = {Searching the Deployable Convolution Neural Networks for GPUs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12227-12236} }

Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning

Jiahao Xia,

Weiwei Qu,

Wenjian Huang,

Jianguo Zhang,

Xi Wang,

Min Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xia_2022_CVPR, author = {Xia, Jiahao and Qu, Weiwei and Huang, Wenjian and Zhang, Jianguo and Wang, Xi and Xu, Min}, title = {Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4052-4061} }

DeepFake Disrupter: The Detector of DeepFake Is My Friend

Xueyu Wang,

Jiajun Huang,

Siqi Ma,

Surya Nepal,

Chang Xu

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Xueyu and Huang, Jiajun and Ma, Siqi and Nepal, Surya and Xu, Chang}, title = {DeepFake Disrupter: The Detector of DeepFake Is My Friend}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14920-14929} }

Rotationally Equivariant 3D Object Detection

Hong-Xing Yu,

Jiajun Wu,

Li Yi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Hong-Xing and Wu, Jiajun and Yi, Li}, title = {Rotationally Equivariant 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1456-1464} }

Accelerating DETR Convergence via Semantic-Aligned Matching

Gongjie Zhang,

Zhipeng Luo,

Yingchen Yu,

Kaiwen Cui,

Shijian Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Gongjie and Luo, Zhipeng and Yu, Yingchen and Cui, Kaiwen and Lu, Shijian}, title = {Accelerating DETR Convergence via Semantic-Aligned Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {949-958} }

Long-Short Temporal Contrastive Learning of Video Transformers

Jue Wang,

Gedas Bertasius,

Du Tran,

Lorenzo Torresani

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jue and Bertasius, Gedas and Tran, Du and Torresani, Lorenzo}, title = {Long-Short Temporal Contrastive Learning of Video Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14010-14020} }

Vision Transformer With Deformable Attention

Zhuofan Xia,

Xuran Pan,

Shiji Song,

Li Erran Li,

Gao Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xia_2022_CVPR, author = {Xia, Zhuofan and Pan, Xuran and Song, Shiji and Li, Li Erran and Huang, Gao}, title = {Vision Transformer With Deformable Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4794-4803} }

Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture

Tanmay Gupta,

Amita Kamath,

Aniruddha Kembhavi,

Derek Hoiem

[pdf] [supp]

[bibtex]

@InProceedings{Gupta_2022_CVPR, author = {Gupta, Tanmay and Kamath, Amita and Kembhavi, Aniruddha and Hoiem, Derek}, title = {Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16399-16409} }

Deep Vanishing Point Detection: Geometric Priors Make Dataset Variations Vanish

Yancong Lin,

Ruben Wiersma,

Silvia L. Pintea,

Klaus Hildebrandt,

Elmar Eisemann,

Jan C. van Gemert

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Yancong and Wiersma, Ruben and Pintea, Silvia L. and Hildebrandt, Klaus and Eisemann, Elmar and van Gemert, Jan C.}, title = {Deep Vanishing Point Detection: Geometric Priors Make Dataset Variations Vanish}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6103-6113} }

RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes

Tak-Wai Hui

[pdf]

[bibtex]

@InProceedings{Hui_2022_CVPR, author = {Hui, Tak-Wai}, title = {RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1675-1684} }

LiT: Zero-Shot Transfer With Locked-Image Text Tuning

Xiaohua Zhai,

Xiao Wang,

Basil Mustafa,

Andreas Steiner,

Daniel Keysers,

Alexander Kolesnikov,

Lucas Beyer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhai_2022_CVPR, author = {Zhai, Xiaohua and Wang, Xiao and Mustafa, Basil and Steiner, Andreas and Keysers, Daniel and Kolesnikov, Alexander and Beyer, Lucas}, title = {LiT: Zero-Shot Transfer With Locked-Image Text Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18123-18133} }

Cloning Outfits From Real-World Images to 3D Characters for Generalizable Person Re-Identification

Yanan Wang,

Xuezhi Liang,

Shengcai Liao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yanan and Liang, Xuezhi and Liao, Shengcai}, title = {Cloning Outfits From Real-World Images to 3D Characters for Generalizable Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4900-4909} }

GeoNeRF: Generalizing NeRF With Geometry Priors

Mohammad Mahdi Johari,

Yann Lepoittevin,

François Fleuret

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Johari_2022_CVPR, author = {Johari, Mohammad Mahdi and Lepoittevin, Yann and Fleuret, Fran\c{c}ois}, title = {GeoNeRF: Generalizing NeRF With Geometry Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18365-18375} }

ABPN: Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Photo

Biwen Lei,

Xiefan Guo,

Hongyu Yang,

Miaomiao Cui,

Xuansong Xie,

Di Huang

[pdf] [supp]

[bibtex]

@InProceedings{Lei_2022_CVPR, author = {Lei, Biwen and Guo, Xiefan and Yang, Hongyu and Cui, Miaomiao and Xie, Xuansong and Huang, Di}, title = {ABPN: Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Photo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2108-2117} }

PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation With Photometrically Challenging Objects

Pengyuan Wang,

HyunJun Jung,

Yitong Li,

Siyuan Shen,

Rahul Parthasarathy Srikanth,

Lorenzo Garattoni,

Sven Meier,

Nassir Navab,

Benjamin Busam

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Pengyuan and Jung, HyunJun and Li, Yitong and Shen, Siyuan and Srikanth, Rahul Parthasarathy and Garattoni, Lorenzo and Meier, Sven and Navab, Nassir and Busam, Benjamin}, title = {PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation With Photometrically Challenging Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21222-21231} }

Neural Compression-Based Feature Learning for Video Restoration

Cong Huang,

Jiahao Li,

Bin Li,

Dong Liu,

Yan Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Cong and Li, Jiahao and Li, Bin and Liu, Dong and Lu, Yan}, title = {Neural Compression-Based Feature Learning for Video Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5872-5881} }

Expanding Low-Density Latent Regions for Open-Set Object Detection

Jiaming Han,

Yuqiang Ren,

Jian Ding,

Xingjia Pan,

Ke Yan,

Gui-Song Xia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Han_2022_CVPR, author = {Han, Jiaming and Ren, Yuqiang and Ding, Jian and Pan, Xingjia and Yan, Ke and Xia, Gui-Song}, title = {Expanding Low-Density Latent Regions for Open-Set Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9591-9600} }

Drop the GAN: In Defense of Patches Nearest Neighbors As Single Image Generative Models

Niv Granot,

Ben Feinstein,

Assaf Shocher,

Shai Bagon,

Michal Irani

[pdf] [arXiv]

[bibtex]

@InProceedings{Granot_2022_CVPR, author = {Granot, Niv and Feinstein, Ben and Shocher, Assaf and Bagon, Shai and Irani, Michal}, title = {Drop the GAN: In Defense of Patches Nearest Neighbors As Single Image Generative Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13460-13469} }

Uformer: A General U-Shaped Transformer for Image Restoration

Zhendong Wang,

Xiaodong Cun,

Jianmin Bao,

Wengang Zhou,

Jianzhuang Liu,

Houqiang Li

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhendong and Cun, Xiaodong and Bao, Jianmin and Zhou, Wengang and Liu, Jianzhuang and Li, Houqiang}, title = {Uformer: A General U-Shaped Transformer for Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17683-17693} }

Exploring Dual-Task Correlation for Pose Guided Person Image Generation

Pengze Zhang,

Lingxiao Yang,

Jian-Huang Lai,

Xiaohua Xie

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Pengze and Yang, Lingxiao and Lai, Jian-Huang and Xie, Xiaohua}, title = {Exploring Dual-Task Correlation for Pose Guided Person Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7713-7722} }

Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data

Junfeng Lyu,

Zhibo Wang,

Feng Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lyu_2022_CVPR, author = {Lyu, Junfeng and Wang, Zhibo and Xu, Feng}, title = {Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3429-3439} }

Neural Rays for Occlusion-Aware Image-Based Rendering

Yuan Liu,

Sida Peng,

Lingjie Liu,

Qianqian Wang,

Peng Wang,

Christian Theobalt,

Xiaowei Zhou,

Wenping Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yuan and Peng, Sida and Liu, Lingjie and Wang, Qianqian and Wang, Peng and Theobalt, Christian and Zhou, Xiaowei and Wang, Wenping}, title = {Neural Rays for Occlusion-Aware Image-Based Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7824-7833} }

Modeling 3D Layout for Group Re-Identification

Quan Zhang,

Kaiheng Dang,

Jian-Huang Lai,

Zhanxiang Feng,

Xiaohua Xie

[pdf]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Quan and Dang, Kaiheng and Lai, Jian-Huang and Feng, Zhanxiang and Xie, Xiaohua}, title = {Modeling 3D Layout for Group Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7512-7520} }

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity

Weiyao Wang,

Matt Feiszli,

Heng Wang,

Jitendra Malik,

Du Tran

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Weiyao and Feiszli, Matt and Wang, Heng and Malik, Jitendra and Tran, Du}, title = {Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4422-4432} }

SIOD: Single Instance Annotated per Category per Image for Object Detection

Hanjun Li,

Xingjia Pan,

Ke Yan,

Fan Tang,

Wei-Shi Zheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Hanjun and Pan, Xingjia and Yan, Ke and Tang, Fan and Zheng, Wei-Shi}, title = {SIOD: Single Instance Annotated per Category per Image for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14197-14206} }

Toward Fast, Flexible, and Robust Low-Light Image Enhancement

Long Ma,

Tengyu Ma,

Risheng Liu,

Xin Fan,

Zhongxuan Luo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Long and Ma, Tengyu and Liu, Risheng and Fan, Xin and Luo, Zhongxuan}, title = {Toward Fast, Flexible, and Robust Low-Light Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5637-5646} }

Online Learning of Reusable Abstract Models for Object Goal Navigation

Tommaso Campari,

Leonardo Lamanna,

Paolo Traverso,

Luciano Serafini,

Lamberto Ballan

[pdf] [arXiv]

[bibtex]

@InProceedings{Campari_2022_CVPR, author = {Campari, Tommaso and Lamanna, Leonardo and Traverso, Paolo and Serafini, Luciano and Ballan, Lamberto}, title = {Online Learning of Reusable Abstract Models for Object Goal Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14870-14879} }

Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos

Muheng Li,

Lei Chen,

Yueqi Duan,

Zhilan Hu,

Jianjiang Feng,

Jie Zhou,

Jiwen Lu

[pdf]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Muheng and Chen, Lei and Duan, Yueqi and Hu, Zhilan and Feng, Jianjiang and Zhou, Jie and Lu, Jiwen}, title = {Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19880-19889} }

SimMatch: Semi-Supervised Learning With Similarity Matching

Mingkai Zheng,

Shan You,

Lang Huang,

Fei Wang,

Chen Qian,

Chang Xu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Mingkai and You, Shan and Huang, Lang and Wang, Fei and Qian, Chen and Xu, Chang}, title = {SimMatch: Semi-Supervised Learning With Similarity Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14471-14481} }

OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks

Wanyu Lin,

Hao Lan,

Hao Wang,

Baochun Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Wanyu and Lan, Hao and Wang, Hao and Li, Baochun}, title = {OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13729-13738} }

HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network

JoonKyu Park,

Yeonguk Oh,

Gyeongsik Moon,

Hongsuk Choi,

Kyoung Mu Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, JoonKyu and Oh, Yeonguk and Moon, Gyeongsik and Choi, Hongsuk and Lee, Kyoung Mu}, title = {HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1496-1505} }

EfficientNeRF Efficient Neural Radiance Fields

Tao Hu,

Shu Liu,

Yilun Chen,

Tiancheng Shen,

Jiaya Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Tao and Liu, Shu and Chen, Yilun and Shen, Tiancheng and Jia, Jiaya}, title = {EfficientNeRF Efficient Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12902-12911} }

Quantifying Societal Bias Amplification in Image Captioning

Yusuke Hirota,

Yuta Nakashima,

Noa Garcia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hirota_2022_CVPR, author = {Hirota, Yusuke and Nakashima, Yuta and Garcia, Noa}, title = {Quantifying Societal Bias Amplification in Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13450-13459} }

Modular Action Concept Grounding in Semantic Video Prediction

Wei Yu,

Wenxin Chen,

Songheng Yin,

Steve Easterbrook,

Animesh Garg

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Wei and Chen, Wenxin and Yin, Songheng and Easterbrook, Steve and Garg, Animesh}, title = {Modular Action Concept Grounding in Semantic Video Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3605-3614} }

StyleSwin: Transformer-Based GAN for High-Resolution Image Generation

Bowen Zhang,

Shuyang Gu,

Bo Zhang,

Jianmin Bao,

Dong Chen,

Fang Wen,

Yong Wang,

Baining Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Bowen and Gu, Shuyang and Zhang, Bo and Bao, Jianmin and Chen, Dong and Wen, Fang and Wang, Yong and Guo, Baining}, title = {StyleSwin: Transformer-Based GAN for High-Resolution Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11304-11314} }

Reinforced Structured State-Evolution for Vision-Language Navigation

Jinyu Chen,

Chen Gao,

Erli Meng,

Qiong Zhang,

Si Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Jinyu and Gao, Chen and Meng, Erli and Zhang, Qiong and Liu, Si}, title = {Reinforced Structured State-Evolution for Vision-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15450-15459} }

Sub-Word Level Lip Reading With Visual Attention

K R Prajwal,

Triantafyllos Afouras,

Andrew Zisserman

[pdf] [arXiv]

[bibtex]

@InProceedings{Prajwal_2022_CVPR, author = {Prajwal, K R and Afouras, Triantafyllos and Zisserman, Andrew}, title = {Sub-Word Level Lip Reading With Visual Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5162-5172} }

Weakly Supervised High-Fidelity Clothing Model Generation

Ruili Feng,

Cheng Ma,

Chengji Shen,

Xin Gao,

Zhenjiang Liu,

Xiaobo Li,

Kairi Ou,

Deli Zhao,

Zheng-Jun Zha

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Feng_2022_CVPR, author = {Feng, Ruili and Ma, Cheng and Shen, Chengji and Gao, Xin and Liu, Zhenjiang and Li, Xiaobo and Ou, Kairi and Zhao, Deli and Zha, Zheng-Jun}, title = {Weakly Supervised High-Fidelity Clothing Model Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3440-3449} }

Highly-Efficient Incomplete Large-Scale Multi-View Clustering With Consensus Bipartite Graph

Siwei Wang,

Xinwang Liu,

Li Liu,

Wenxuan Tu,

Xinzhong Zhu,

Jiyuan Liu,

Sihang Zhou,

En Zhu

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Siwei and Liu, Xinwang and Liu, Li and Tu, Wenxuan and Zhu, Xinzhong and Liu, Jiyuan and Zhou, Sihang and Zhu, En}, title = {Highly-Efficient Incomplete Large-Scale Multi-View Clustering With Consensus Bipartite Graph}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9776-9785} }

Towards Principled Disentanglement for Domain Generalization

Hanlin Zhang,

Yi-Fan Zhang,

Weiyang Liu,

Adrian Weller,

Bernhard Schölkopf,

Eric P. Xing

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Hanlin and Zhang, Yi-Fan and Liu, Weiyang and Weller, Adrian and Sch\"olkopf, Bernhard and Xing, Eric P.}, title = {Towards Principled Disentanglement for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8024-8034} }

Discrete Cosine Transform Network for Guided Depth Map Super-Resolution

Zixiang Zhao,

Jiangshe Zhang,

Shuang Xu,

Zudi Lin,

Hanspeter Pfister

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Zixiang and Zhang, Jiangshe and Xu, Shuang and Lin, Zudi and Pfister, Hanspeter}, title = {Discrete Cosine Transform Network for Guided Depth Map Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5697-5707} }

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

Xiaoxue Chen,

Tianyu Liu,

Hao Zhao,

Guyue Zhou,

Ya-Qin Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Xiaoxue and Liu, Tianyu and Zhao, Hao and Zhou, Guyue and Zhang, Ya-Qin}, title = {Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19649-19658} }

E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations

Jongwan Kim,

DongJin Lee,

Byunggook Na,

Seongsik Park,

Sungroh Yoon

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Jongwan and Lee, DongJin and Na, Byunggook and Park, Seongsik and Yoon, Sungroh}, title = {E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13556-13565} }

CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning

Yue Fan,

Dengxin Dai,

Anna Kukleva,

Bernt Schiele

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Yue and Dai, Dengxin and Kukleva, Anna and Schiele, Bernt}, title = {CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14574-14584} }

Discovering Objects That Can Move

Zhipeng Bao,

Pavel Tokmakov,

Allan Jabri,

Yu-Xiong Wang,

Adrien Gaidon,

Martial Hebert

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bao_2022_CVPR, author = {Bao, Zhipeng and Tokmakov, Pavel and Jabri, Allan and Wang, Yu-Xiong and Gaidon, Adrien and Hebert, Martial}, title = {Discovering Objects That Can Move}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11789-11798} }

Knowledge Mining With Scene Text for Fine-Grained Recognition

Hao Wang,

Junchao Liao,

Tianheng Cheng,

Zewen Gao,

Hao Liu,

Bo Ren,

Xiang Bai,

Wenyu Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Hao and Liao, Junchao and Cheng, Tianheng and Gao, Zewen and Liu, Hao and Ren, Bo and Bai, Xiang and Liu, Wenyu}, title = {Knowledge Mining With Scene Text for Fine-Grained Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4624-4633} }

Self-Supervised Learning of Object Parts for Semantic Segmentation

Adrian Ziegler,

Yuki M. Asano

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ziegler_2022_CVPR, author = {Ziegler, Adrian and Asano, Yuki M.}, title = {Self-Supervised Learning of Object Parts for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14502-14511} }

Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects

Manuel Stoiber,

Martin Sundermeyer,

Rudolph Triebel

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Stoiber_2022_CVPR, author = {Stoiber, Manuel and Sundermeyer, Martin and Triebel, Rudolph}, title = {Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6855-6865} }

Single-Photon Structured Light

Varun Sundar,

Sizhuo Ma,

Aswin C. Sankaranarayanan,

Mohit Gupta

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sundar_2022_CVPR, author = {Sundar, Varun and Ma, Sizhuo and Sankaranarayanan, Aswin C. and Gupta, Mohit}, title = {Single-Photon Structured Light}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17865-17875} }

Deblurring via Stochastic Refinement

Jay Whang,

Mauricio Delbracio,

Hossein Talebi,

Chitwan Saharia,

Alexandros G. Dimakis,

Peyman Milanfar

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Whang_2022_CVPR, author = {Whang, Jay and Delbracio, Mauricio and Talebi, Hossein and Saharia, Chitwan and Dimakis, Alexandros G. and Milanfar, Peyman}, title = {Deblurring via Stochastic Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16293-16303} }

3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds

Daigang Cai,

Lichen Zhao,

Jing Zhang,

Lu Sheng,

Dong Xu

[pdf]

[bibtex]

@InProceedings{Cai_2022_CVPR, author = {Cai, Daigang and Zhao, Lichen and Zhang, Jing and Sheng, Lu and Xu, Dong}, title = {3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16464-16473} }

TransGeo: Transformer Is All You Need for Cross-View Image Geo-Localization

Sijie Zhu,

Mubarak Shah,

Chen Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Sijie and Shah, Mubarak and Chen, Chen}, title = {TransGeo: Transformer Is All You Need for Cross-View Image Geo-Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1162-1171} }

R(Det)2: Randomized Decision Routing for Object Detection

Yali Li,

Shengjin Wang

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yali and Wang, Shengjin}, title = {R(Det)2: Randomized Decision Routing for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4825-4834} }

Abandoning the Bayer-Filter To See in the Dark

Xingbo Dong,

Wanyan Xu,

Zhihui Miao,

Lan Ma,

Chao Zhang,

Jiewen Yang,

Zhe Jin,

Andrew Beng Jin Teoh,

Jiajun Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Xingbo and Xu, Wanyan and Miao, Zhihui and Ma, Lan and Zhang, Chao and Yang, Jiewen and Jin, Zhe and Teoh, Andrew Beng Jin and Shen, Jiajun}, title = {Abandoning the Bayer-Filter To See in the Dark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17431-17440} }

SASIC: Stereo Image Compression With Latent Shifts and Stereo Attention

Matthias Wödlinger,

Jan Kotera,

Jan Xu,

Robert Sablatnig

[pdf] [supp]

[bibtex]

@InProceedings{Wodlinger_2022_CVPR, author = {W\"odlinger, Matthias and Kotera, Jan and Xu, Jan and Sablatnig, Robert}, title = {SASIC: Stereo Image Compression With Latent Shifts and Stereo Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {661-670} }

Exploiting Temporal Relations on Radar Perception for Autonomous Driving

Peizhao Li,

Pu Wang,

Karl Berntorp,

Hongfu Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Peizhao and Wang, Pu and Berntorp, Karl and Liu, Hongfu}, title = {Exploiting Temporal Relations on Radar Perception for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17071-17080} }

Multi-Instance Point Cloud Registration by Efficient Correspondence Clustering

Weixuan Tang,

Danping Zou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Weixuan and Zou, Danping}, title = {Multi-Instance Point Cloud Registration by Efficient Correspondence Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6667-6676} }

Contrastive Boundary Learning for Point Cloud Segmentation

Liyao Tang,

Yibing Zhan,

Zhe Chen,

Baosheng Yu,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Liyao and Zhan, Yibing and Chen, Zhe and Yu, Baosheng and Tao, Dacheng}, title = {Contrastive Boundary Learning for Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8489-8499} }

Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution

Jie Liang,

Hui Zeng,

Lei Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liang_2022_CVPR, author = {Liang, Jie and Zeng, Hui and Zhang, Lei}, title = {Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5657-5666} }

CVNet: Contour Vibration Network for Building Extraction

Ziqiang Xu,

Chunyan Xu,

Zhen Cui,

Xiangwei Zheng,

Jian Yang

[pdf]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Ziqiang and Xu, Chunyan and Cui, Zhen and Zheng, Xiangwei and Yang, Jian}, title = {CVNet: Contour Vibration Network for Building Extraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1383-1391} }

Hyperbolic Image Segmentation

Mina Ghadimi Atigh,

Julian Schoep,

Erman Acar,

Nanne van Noord,

Pascal Mettes

[pdf] [supp]

[bibtex]

@InProceedings{Atigh_2022_CVPR, author = {Atigh, Mina Ghadimi and Schoep, Julian and Acar, Erman and van Noord, Nanne and Mettes, Pascal}, title = {Hyperbolic Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4453-4462} }

Forward Compatible Training for Large-Scale Embedding Retrieval Systems

Vivek Ramanujan,

Pavan Kumar Anasosalu Vasu,

Ali Farhadi,

Oncel Tuzel,

Hadi Pouransari

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ramanujan_2022_CVPR, author = {Ramanujan, Vivek and Vasu, Pavan Kumar Anasosalu and Farhadi, Ali and Tuzel, Oncel and Pouransari, Hadi}, title = {Forward Compatible Training for Large-Scale Embedding Retrieval Systems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19386-19395} }

Everything at Once - Multi-Modal Fusion Transformer for Video Retrieval

Nina Shvetsova,

Brian Chen,

Andrew Rouditchenko,

Samuel Thomas,

Brian Kingsbury,

Rogerio S. Feris,

David Harwath,

James Glass,

Hilde Kuehne

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shvetsova_2022_CVPR, author = {Shvetsova, Nina and Chen, Brian and Rouditchenko, Andrew and Thomas, Samuel and Kingsbury, Brian and Feris, Rogerio S. and Harwath, David and Glass, James and Kuehne, Hilde}, title = {Everything at Once - Multi-Modal Fusion Transformer for Video Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20020-20029} }

Swin Transformer V2: Scaling Up Capacity and Resolution

Ze Liu,

Han Hu,

Yutong Lin,

Zhuliang Yao,

Zhenda Xie,

Yixuan Wei,

Jia Ning,

Yue Cao,

Zheng Zhang,

Li Dong,

Furu Wei,

Baining Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Ze and Hu, Han and Lin, Yutong and Yao, Zhuliang and Xie, Zhenda and Wei, Yixuan and Ning, Jia and Cao, Yue and Zhang, Zheng and Dong, Li and Wei, Furu and Guo, Baining}, title = {Swin Transformer V2: Scaling Up Capacity and Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12009-12019} }

Neural Template: Topology-Aware Reconstruction and Disentangled Generation of 3D Meshes

Ka-Hei Hui,

Ruihui Li,

Jingyu Hu,

Chi-Wing Fu

[pdf] [supp]

[bibtex]

@InProceedings{Hui_2022_CVPR, author = {Hui, Ka-Hei and Li, Ruihui and Hu, Jingyu and Fu, Chi-Wing}, title = {Neural Template: Topology-Aware Reconstruction and Disentangled Generation of 3D Meshes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18572-18582} }

DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints

Zhendong Zhao,

Xiaojun Chen,

Yuexin Xuan,

Ye Dong,

Dakui Wang,

Kaitai Liang

[pdf]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Zhendong and Chen, Xiaojun and Xuan, Yuexin and Dong, Ye and Wang, Dakui and Liang, Kaitai}, title = {DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15213-15222} }

Projective Manifold Gradient Layer for Deep Rotation Regression

Jiayi Chen,

Yingda Yin,

Tolga Birdal,

Baoquan Chen,

Leonidas J. Guibas,

He Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Jiayi and Yin, Yingda and Birdal, Tolga and Chen, Baoquan and Guibas, Leonidas J. and Wang, He}, title = {Projective Manifold Gradient Layer for Deep Rotation Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6646-6655} }

CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation

Jinheng Xie,

Xianxu Hou,

Kai Ye,

Linlin Shen

[pdf] [supp]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Jinheng and Hou, Xianxu and Ye, Kai and Shen, Linlin}, title = {CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4483-4492} }

Learning To Refactor Action and Co-Occurrence Features for Temporal Action Localization

Kun Xia,

Le Wang,

Sanping Zhou,

Nanning Zheng,

Wei Tang

[pdf] [supp]

[bibtex]

@InProceedings{Xia_2022_CVPR, author = {Xia, Kun and Wang, Le and Zhou, Sanping and Zheng, Nanning and Tang, Wei}, title = {Learning To Refactor Action and Co-Occurrence Features for Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13884-13893} }

It's Time for Artistic Correspondence in Music and Video

Dídac Surís,

Carl Vondrick,

Bryan Russell,

Justin Salamon

[pdf] [supp]

[bibtex]

@InProceedings{Suris_2022_CVPR, author = {Sur{\'\i}s, D{\'\i}dac and Vondrick, Carl and Russell, Bryan and Salamon, Justin}, title = {It's Time for Artistic Correspondence in Music and Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10564-10574} }

Mixed Differential Privacy in Computer Vision

Aditya Golatkar,

Alessandro Achille,

Yu-Xiang Wang,

Aaron Roth,

Michael Kearns,

Stefano Soatto

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Golatkar_2022_CVPR, author = {Golatkar, Aditya and Achille, Alessandro and Wang, Yu-Xiang and Roth, Aaron and Kearns, Michael and Soatto, Stefano}, title = {Mixed Differential Privacy in Computer Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8376-8386} }

AdaFace: Quality Adaptive Margin for Face Recognition

Minchul Kim,

Anil K. Jain,

Xiaoming Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Minchul and Jain, Anil K. and Liu, Xiaoming}, title = {AdaFace: Quality Adaptive Margin for Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18750-18759} }

Learning Soft Estimator of Keypoint Scale and Orientation With Probabilistic Covariant Loss

Pei Yan,

Yihua Tan,

Shengzhou Xiong,

Yuan Tai,

Yansheng Li

[pdf] [supp]

[bibtex]

@InProceedings{Yan_2022_CVPR, author = {Yan, Pei and Tan, Yihua and Xiong, Shengzhou and Tai, Yuan and Li, Yansheng}, title = {Learning Soft Estimator of Keypoint Scale and Orientation With Probabilistic Covariant Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19406-19415} }

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Feng Li,

Hao Zhang,

Shilong Liu,

Jian Guo,

Lionel M. Ni,

Lei Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Feng and Zhang, Hao and Liu, Shilong and Guo, Jian and Ni, Lionel M. and Zhang, Lei}, title = {DN-DETR: Accelerate DETR Training by Introducing Query DeNoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13619-13627} }

HCSC: Hierarchical Contrastive Selective Coding

Yuanfan Guo,

Minghao Xu,

Jiawen Li,

Bingbing Ni,

Xuanyu Zhu,

Zhenbang Sun,

Yi Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Yuanfan and Xu, Minghao and Li, Jiawen and Ni, Bingbing and Zhu, Xuanyu and Sun, Zhenbang and Xu, Yi}, title = {HCSC: Hierarchical Contrastive Selective Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9706-9715} }

TransRank: Self-Supervised Video Representation Learning via Ranking-Based Transformation Recognition

Haodong Duan,

Nanxuan Zhao,

Kai Chen,

Dahua Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Duan_2022_CVPR, author = {Duan, Haodong and Zhao, Nanxuan and Chen, Kai and Lin, Dahua}, title = {TransRank: Self-Supervised Video Representation Learning via Ranking-Based Transformation Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3000-3010} }

KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos

David Novotny,

Ignacio Rocco,

Samarth Sinha,

Alexandre Carlier,

Gael Kerchenbaum,

Roman Shapovalov,

Nikita Smetanin,

Natalia Neverova,

Benjamin Graham,

Andrea Vedaldi

[pdf]

[bibtex]

@InProceedings{Novotny_2022_CVPR, author = {Novotny, David and Rocco, Ignacio and Sinha, Samarth and Carlier, Alexandre and Kerchenbaum, Gael and Shapovalov, Roman and Smetanin, Nikita and Neverova, Natalia and Graham, Benjamin and Vedaldi, Andrea}, title = {KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5595-5604} }

Invariant Grounding for Video Question Answering

Yicong Li,

Xiang Wang,

Junbin Xiao,

Wei Ji,

Tat-Seng Chua

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yicong and Wang, Xiang and Xiao, Junbin and Ji, Wei and Chua, Tat-Seng}, title = {Invariant Grounding for Video Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2928-2937} }

Prompt Distribution Learning

Yuning Lu,

Jianzhuang Liu,

Yonggang Zhang,

Yajing Liu,

Xinmei Tian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lu_2022_CVPR, author = {Lu, Yuning and Liu, Jianzhuang and Zhang, Yonggang and Liu, Yajing and Tian, Xinmei}, title = {Prompt Distribution Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5206-5215} }

RAGO: Recurrent Graph Optimizer for Multiple Rotation Averaging

Heng Li,

Zhaopeng Cui,

Shuaicheng Liu,

Ping Tan

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Heng and Cui, Zhaopeng and Liu, Shuaicheng and Tan, Ping}, title = {RAGO: Recurrent Graph Optimizer for Multiple Rotation Averaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15787-15796} }

Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search

Minbin Huang,

Zhijian Huang,

Changlin Li,

Xin Chen,

Hang Xu,

Zhenguo Li,

Xiaodan Liang

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Minbin and Huang, Zhijian and Li, Changlin and Chen, Xin and Xu, Hang and Li, Zhenguo and Liang, Xiaodan}, title = {Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11881-11891} }

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

Gaurav Parmar,

Richard Zhang,

Jun-Yan Zhu

[pdf] [arXiv]

[bibtex]

@InProceedings{Parmar_2022_CVPR, author = {Parmar, Gaurav and Zhang, Richard and Zhu, Jun-Yan}, title = {On Aliased Resizing and Surprising Subtleties in GAN Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11410-11420} }

Lepard: Learning Partial Point Cloud Matching in Rigid and Deformable Scenes

Yang Li,

Tatsuya Harada

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yang and Harada, Tatsuya}, title = {Lepard: Learning Partial Point Cloud Matching in Rigid and Deformable Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5554-5564} }

Virtual Elastic Objects

Hsiao-yu Chen,

Edith Tretschk,

Tuur Stuyck,

Petr Kadlecek,

Ladislav Kavan,

Etienne Vouga,

Christoph Lassner

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Hsiao-yu and Tretschk, Edith and Stuyck, Tuur and Kadlecek, Petr and Kavan, Ladislav and Vouga, Etienne and Lassner, Christoph}, title = {Virtual Elastic Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15827-15837} }

DiSparse: Disentangled Sparsification for Multitask Model Compression

Xinglong Sun,

Ali Hassani,

Zhangyang Wang,

Gao Huang,

Humphrey Shi

[pdf] [supp]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Xinglong and Hassani, Ali and Wang, Zhangyang and Huang, Gao and Shi, Humphrey}, title = {DiSparse: Disentangled Sparsification for Multitask Model Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12382-12392} }

Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference

Shell Xu Hu,

Da Li,

Jan Stühmer,

Minyoung Kim,

Timothy M. Hospedales

[pdf] [supp]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Shell Xu and Li, Da and St\"uhmer, Jan and Kim, Minyoung and Hospedales, Timothy M.}, title = {Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9068-9077} }

Opening Up Open World Tracking

Yang Liu,

Idil Esen Zulfikar,

Jonathon Luiten,

Achal Dave,

Deva Ramanan,

Bastian Leibe,

Aljoša Ošep,

Laura Leal-Taixé

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yang and Zulfikar, Idil Esen and Luiten, Jonathon and Dave, Achal and Ramanan, Deva and Leibe, Bastian and O\v{s}ep, Aljo\v{s}a and Leal-Taix\'e, Laura}, title = {Opening Up Open World Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19045-19055} }

Towards Efficient and Scalable Sharpness-Aware Minimization

Yong Liu,

Siqi Mai,

Xiangning Chen,

Cho-Jui Hsieh,

Yang You

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yong and Mai, Siqi and Chen, Xiangning and Hsieh, Cho-Jui and You, Yang}, title = {Towards Efficient and Scalable Sharpness-Aware Minimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12360-12370} }

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention

Shengheng Deng,

Zhihao Liang,

Lin Sun,

Kui Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Deng_2022_CVPR, author = {Deng, Shengheng and Liang, Zhihao and Sun, Lin and Jia, Kui}, title = {VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8448-8457} }

Rethinking Deep Face Restoration

Yang Zhao,

Yu-Chuan Su,

Chun-Te Chu,

Yandong Li,

Marius Renn,

Yukun Zhu,

Changyou Chen,

Xuhui Jia

[pdf] [supp]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Yang and Su, Yu-Chuan and Chu, Chun-Te and Li, Yandong and Renn, Marius and Zhu, Yukun and Chen, Changyou and Jia, Xuhui}, title = {Rethinking Deep Face Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7652-7661} }

OSSO: Obtaining Skeletal Shape From Outside

Marilyn Keller,

Silvia Zuffi,

Michael J. Black,

Sergi Pujades

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Keller_2022_CVPR, author = {Keller, Marilyn and Zuffi, Silvia and Black, Michael J. and Pujades, Sergi}, title = {OSSO: Obtaining Skeletal Shape From Outside}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20492-20501} }

Temporal Alignment Networks for Long-Term Video

Tengda Han,

Weidi Xie,

Andrew Zisserman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Han_2022_CVPR, author = {Han, Tengda and Xie, Weidi and Zisserman, Andrew}, title = {Temporal Alignment Networks for Long-Term Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2906-2916} }

Few-Shot Head Swapping in the Wild

Changyong Shu,

Hemao Wu,

Hang Zhou,

Jiaming Liu,

Zhibin Hong,

Changxing Ding,

Junyu Han,

Jingtuo Liu,

Errui Ding,

Jingdong Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shu_2022_CVPR, author = {Shu, Changyong and Wu, Hemao and Zhou, Hang and Liu, Jiaming and Hong, Zhibin and Ding, Changxing and Han, Junyu and Liu, Jingtuo and Ding, Errui and Wang, Jingdong}, title = {Few-Shot Head Swapping in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10789-10798} }

A Study on the Distribution of Social Biases in Self-Supervised Learning Visual Models

Kirill Sirotkin,

Pablo Carballeira,

Marcos Escudero-Viñolo

[pdf] [supp]

[bibtex]

@InProceedings{Sirotkin_2022_CVPR, author = {Sirotkin, Kirill and Carballeira, Pablo and Escudero-Vi\~nolo, Marcos}, title = {A Study on the Distribution of Social Biases in Self-Supervised Learning Visual Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10442-10451} }

LAR-SR: A Local Autoregressive Model for Image Super-Resolution

Baisong Guo,

Xiaoyun Zhang,

Haoning Wu,

Yu Wang,

Ya Zhang,

Yan-Feng Wang

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Baisong and Zhang, Xiaoyun and Wu, Haoning and Wang, Yu and Zhang, Ya and Wang, Yan-Feng}, title = {LAR-SR: A Local Autoregressive Model for Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1909-1918} }

Bayesian Invariant Risk Minimization

Yong Lin,

Hanze Dong,

Hao Wang,

Tong Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Yong and Dong, Hanze and Wang, Hao and Zhang, Tong}, title = {Bayesian Invariant Risk Minimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16021-16030} }

Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection

Siyue Yu,

Jimin Xiao,

Bingfeng Zhang,

Eng Gee Lim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Siyue and Xiao, Jimin and Zhang, Bingfeng and Lim, Eng Gee}, title = {Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {979-988} }

Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint

Jiaxian Guo,

Jiachen Li,

Huan Fu,

Mingming Gong,

Kun Zhang,

Dacheng Tao

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Jiaxian and Li, Jiachen and Fu, Huan and Gong, Mingming and Zhang, Kun and Tao, Dacheng}, title = {Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18249-18259} }

Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches

Ayan Kumar Bhunia,

Viswanatha Reddy Gajjala,

Subhadeep Koley,

Rohit Kundu,

Aneeshan Sain,

Tao Xiang,

Yi-Zhe Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bhunia_2022_CVPR, author = {Bhunia, Ayan Kumar and Gajjala, Viswanatha Reddy and Koley, Subhadeep and Kundu, Rohit and Sain, Aneeshan and Xiang, Tao and Song, Yi-Zhe}, title = {Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2293-2302} }

ICON: Implicit Clothed Humans Obtained From Normals

Yuliang Xiu,

Jinlong Yang,

Dimitrios Tzionas,

Michael J. Black

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xiu_2022_CVPR, author = {Xiu, Yuliang and Yang, Jinlong and Tzionas, Dimitrios and Black, Michael J.}, title = {ICON: Implicit Clothed Humans Obtained From Normals}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13296-13306} }

Comparing Correspondences: Video Prediction With Correspondence-Wise Losses

Daniel Geng,

Max Hamilton,

Andrew Owens

[pdf] [arXiv]

[bibtex]

@InProceedings{Geng_2022_CVPR, author = {Geng, Daniel and Hamilton, Max and Owens, Andrew}, title = {Comparing Correspondences: Video Prediction With Correspondence-Wise Losses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3365-3376} }

Uni-Perceiver: Pre-Training Unified Architecture for Generic Perception for Zero-Shot and Few-Shot Tasks

Xizhou Zhu,

Jinguo Zhu,

Hao Li,

Xiaoshi Wu,

Hongsheng Li,

Xiaohua Wang,

Jifeng Dai

[pdf] [supp]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Xizhou and Zhu, Jinguo and Li, Hao and Wu, Xiaoshi and Li, Hongsheng and Wang, Xiaohua and Dai, Jifeng}, title = {Uni-Perceiver: Pre-Training Unified Architecture for Generic Perception for Zero-Shot and Few-Shot Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16804-16815} }

The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift

Sara Beery,

Guanhang Wu,

Trevor Edwards,

Filip Pavetic,

Bo Majewski,

Shreyasee Mukherjee,

Stanley Chan,

John Morgan,

Vivek Rathod,

Jonathan Huang

[pdf] [supp]

[bibtex]

@InProceedings{Beery_2022_CVPR, author = {Beery, Sara and Wu, Guanhang and Edwards, Trevor and Pavetic, Filip and Majewski, Bo and Mukherjee, Shreyasee and Chan, Stanley and Morgan, John and Rathod, Vivek and Huang, Jonathan}, title = {The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21294-21307} }

On the Instability of Relative Pose Estimation and RANSAC's Role

Hongyi Fan,

Joe Kileel,

Benjamin Kimia

[pdf] [supp]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Hongyi and Kileel, Joe and Kimia, Benjamin}, title = {On the Instability of Relative Pose Estimation and RANSAC's Role}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8935-8943} }

Shape From Polarization for Complex Scenes in the Wild

Chenyang Lei,

Chenyang Qi,

Jiaxin Xie,

Na Fan,

Vladlen Koltun,

Qifeng Chen

[pdf] [arXiv]

[bibtex]

@InProceedings{Lei_2022_CVPR, author = {Lei, Chenyang and Qi, Chenyang and Xie, Jiaxin and Fan, Na and Koltun, Vladlen and Chen, Qifeng}, title = {Shape From Polarization for Complex Scenes in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12632-12641} }

Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device

Hyojin Park,

Alan Yessenbayev,

Tushar Singhal,

Navin Kumar Adhikari,

Yizhe Zhang,

Shubhankar Mangesh Borse,

Hong Cai,

Nilesh Prasad Pandey,

Fei Yin,

Frank Mayer,

Balaji Calidas,

Fatih Porikli

[pdf] [supp]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, Hyojin and Yessenbayev, Alan and Singhal, Tushar and Adhikari, Navin Kumar and Zhang, Yizhe and Borse, Shubhankar Mangesh and Cai, Hong and Pandey, Nilesh Prasad and Yin, Fei and Mayer, Frank and Calidas, Balaji and Porikli, Fatih}, title = {Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21431-21438} }

SNUG: Self-Supervised Neural Dynamic Garments

Igor Santesteban,

Miguel A. Otaduy,

Dan Casas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Santesteban_2022_CVPR, author = {Santesteban, Igor and Otaduy, Miguel A. and Casas, Dan}, title = {SNUG: Self-Supervised Neural Dynamic Garments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8140-8150} }

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation

Binhui Xie,

Longhui Yuan,

Shuang Li,

Chi Harold Liu,

Xinjing Cheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Binhui and Yuan, Longhui and Li, Shuang and Liu, Chi Harold and Cheng, Xinjing}, title = {Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8068-8078} }

Glass Segmentation Using Intensity and Spectral Polarization Cues

Haiyang Mei,

Bo Dong,

Wen Dong,

Jiaxi Yang,

Seung-Hwan Baek,

Felix Heide,

Pieter Peers,

Xiaopeng Wei,

Xin Yang

[pdf] [supp]

[bibtex]

@InProceedings{Mei_2022_CVPR, author = {Mei, Haiyang and Dong, Bo and Dong, Wen and Yang, Jiaxi and Baek, Seung-Hwan and Heide, Felix and Peers, Pieter and Wei, Xiaopeng and Yang, Xin}, title = {Glass Segmentation Using Intensity and Spectral Polarization Cues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12622-12631} }

CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding

Mohamed Afham,

Isuru Dissanayake,

Dinithi Dissanayake,

Amaya Dharmasiri,

Kanchana Thilakarathna,

Ranga Rodrigo

[pdf] [arXiv]

[bibtex]

@InProceedings{Afham_2022_CVPR, author = {Afham, Mohamed and Dissanayake, Isuru and Dissanayake, Dinithi and Dharmasiri, Amaya and Thilakarathna, Kanchana and Rodrigo, Ranga}, title = {CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9902-9912} }

Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment

Jiayu Xiao,

Liang Li,

Chaofei Wang,

Zheng-Jun Zha,

Qingming Huang

[pdf] [arXiv]

[bibtex]

@InProceedings{Xiao_2022_CVPR, author = {Xiao, Jiayu and Li, Liang and Wang, Chaofei and Zha, Zheng-Jun and Huang, Qingming}, title = {Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11204-11213} }

Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection

Jiaxi Wu,

Jiaxin Chen,

Mengzhe He,

Yiru Wang,

Bo Li,

Bingqi Ma,

Weihao Gan,

Wei Wu,

Yali Wang,

Di Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Jiaxi and Chen, Jiaxin and He, Mengzhe and Wang, Yiru and Li, Bo and Ma, Bingqi and Gan, Weihao and Wu, Wei and Wang, Yali and Huang, Di}, title = {Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5301-5310} }

Pyramid Grafting Network for One-Stage High Resolution Saliency Detection

Chenxi Xie,

Changqun Xia,

Mingcan Ma,

Zhirui Zhao,

Xiaowu Chen,

Jia Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Chenxi and Xia, Changqun and Ma, Mingcan and Zhao, Zhirui and Chen, Xiaowu and Li, Jia}, title = {Pyramid Grafting Network for One-Stage High Resolution Saliency Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11717-11726} }

A Style-Aware Discriminator for Controllable Image Translation

Kunhee Kim,

Sanghun Park,

Eunyeong Jeon,

Taehun Kim,

Daijin Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Kunhee and Park, Sanghun and Jeon, Eunyeong and Kim, Taehun and Kim, Daijin}, title = {A Style-Aware Discriminator for Controllable Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18239-18248} }

Non-Iterative Recovery From Nonlinear Observations Using Generative Models

Jiulong Liu,

Zhaoqiang Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Jiulong and Liu, Zhaoqiang}, title = {Non-Iterative Recovery From Nonlinear Observations Using Generative Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {233-243} }

Incremental Cross-View Mutual Distillation for Self-Supervised Medical CT Synthesis

Chaowei Fang,

Liang Wang,

Dingwen Zhang,

Jun Xu,

Yixuan Yuan,

Junwei Han

[pdf] [arXiv]

[bibtex]

@InProceedings{Fang_2022_CVPR, author = {Fang, Chaowei and Wang, Liang and Zhang, Dingwen and Xu, Jun and Yuan, Yixuan and Han, Junwei}, title = {Incremental Cross-View Mutual Distillation for Self-Supervised Medical CT Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20677-20686} }

Enhancing Adversarial Training With Second-Order Statistics of Weights

Gaojie Jin,

Xinping Yi,

Wei Huang,

Sven Schewe,

Xiaowei Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jin_2022_CVPR, author = {Jin, Gaojie and Yi, Xinping and Huang, Wei and Schewe, Sven and Huang, Xiaowei}, title = {Enhancing Adversarial Training With Second-Order Statistics of Weights}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15273-15283} }

Partially Does It: Towards Scene-Level FG-SBIR With Partial Input

Pinaki Nath Chowdhury,

Ayan Kumar Bhunia,

Viswanatha Reddy Gajjala,

Aneeshan Sain,

Tao Xiang,

Yi-Zhe Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chowdhury_2022_CVPR, author = {Chowdhury, Pinaki Nath and Bhunia, Ayan Kumar and Gajjala, Viswanatha Reddy and Sain, Aneeshan and Xiang, Tao and Song, Yi-Zhe}, title = {Partially Does It: Towards Scene-Level FG-SBIR With Partial Input}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2395-2405} }

Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo

Chaoning Zhang,

Kang Zhang,

Trung X. Pham,

Axi Niu,

Zhinan Qiao,

Chang D. Yoo,

In So Kweon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Chaoning and Zhang, Kang and Pham, Trung X. and Niu, Axi and Qiao, Zhinan and Yoo, Chang D. and Kweon, In So}, title = {Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14441-14450} }

Moving Window Regression: A Novel Approach to Ordinal Regression

Nyeong-Ho Shin,

Seon-Ho Lee,

Chang-Su Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shin_2022_CVPR, author = {Shin, Nyeong-Ho and Lee, Seon-Ho and Kim, Chang-Su}, title = {Moving Window Regression: A Novel Approach to Ordinal Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18760-18769} }

UniCoRN: A Unified Conditional Image Repainting Network

Jimeng Sun,

Shuchen Weng,

Zheng Chang,

Si Li,

Boxin Shi

[pdf]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Jimeng and Weng, Shuchen and Chang, Zheng and Li, Si and Shi, Boxin}, title = {UniCoRN: A Unified Conditional Image Repainting Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11369-11378} }

Forecasting Characteristic 3D Poses of Human Actions

Christian Diller,

Thomas Funkhouser,

Angela Dai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Diller_2022_CVPR, author = {Diller, Christian and Funkhouser, Thomas and Dai, Angela}, title = {Forecasting Characteristic 3D Poses of Human Actions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15914-15923} }

ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification

Fengbei Liu,

Yu Tian,

Yuanhong Chen,

Yuyuan Liu,

Vasileios Belagiannis,

Gustavo Carneiro

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Fengbei and Tian, Yu and Chen, Yuanhong and Liu, Yuyuan and Belagiannis, Vasileios and Carneiro, Gustavo}, title = {ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20697-20706} }

Learning to Deblur Using Light Field Generated and Real Defocus Images

Lingyan Ruan,

Bin Chen,

Jizhou Li,

Miuling Lam

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ruan_2022_CVPR, author = {Ruan, Lingyan and Chen, Bin and Li, Jizhou and Lam, Miuling}, title = {Learning to Deblur Using Light Field Generated and Real Defocus Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16304-16313} }

Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection

Nicolae-Cătălin Ristea,

Neelu Madan,

Radu Tudor Ionescu,

Kamal Nasrollahi,

Fahad Shahbaz Khan,

Thomas B. Moeslund,

Mubarak Shah

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ristea_2022_CVPR, author = {Ristea, Nicolae-C\u{a}t\u{a}lin and Madan, Neelu and Ionescu, Radu Tudor and Nasrollahi, Kamal and Khan, Fahad Shahbaz and Moeslund, Thomas B. and Shah, Mubarak}, title = {Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13576-13586} }

Safe Self-Refinement for Transformer-Based Domain Adaptation

Tao Sun,

Cheng Lu,

Tianshuo Zhang,

Haibin Ling

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Tao and Lu, Cheng and Zhang, Tianshuo and Ling, Haibin}, title = {Safe Self-Refinement for Transformer-Based Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7191-7200} }

Density-Preserving Deep Point Cloud Compression

Yun He,

Xinlin Ren,

Danhang Tang,

Yinda Zhang,

Xiangyang Xue,

Yanwei Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Yun and Ren, Xinlin and Tang, Danhang and Zhang, Yinda and Xue, Xiangyang and Fu, Yanwei}, title = {Density-Preserving Deep Point Cloud Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2333-2342} }

StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions

Lukas Höllein,

Justin Johnson,

Matthias Nießner

[pdf] [supp]

[bibtex]

@InProceedings{Hollein_2022_CVPR, author = {H\"ollein, Lukas and Johnson, Justin and Nie{\ss}ner, Matthias}, title = {StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6198-6208} }

Which Model To Transfer? Finding the Needle in the Growing Haystack

Cedric Renggli,

André Susano Pinto,

Luka Rimanic,

Joan Puigcerver,

Carlos Riquelme,

Ce Zhang,

Mario Lučić

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Renggli_2022_CVPR, author = {Renggli, Cedric and Pinto, Andr\'e Susano and Rimanic, Luka and Puigcerver, Joan and Riquelme, Carlos and Zhang, Ce and Lu\v{c}i\'c, Mario}, title = {Which Model To Transfer? Finding the Needle in the Growing Haystack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9205-9214} }

Fast and Unsupervised Action Boundary Detection for Action Segmentation

Zexing Du,

Xue Wang,

Guoqing Zhou,

Qing Wang

[pdf]

[bibtex]

@InProceedings{Du_2022_CVPR, author = {Du, Zexing and Wang, Xue and Zhou, Guoqing and Wang, Qing}, title = {Fast and Unsupervised Action Boundary Detection for Action Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3323-3332} }

Class-Incremental Learning With Strong Pre-Trained Models

Tz-Ying Wu,

Gurumurthy Swaminathan,

Zhizhong Li,

Avinash Ravichandran,

Nuno Vasconcelos,

Rahul Bhotika,

Stefano Soatto

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Tz-Ying and Swaminathan, Gurumurthy and Li, Zhizhong and Ravichandran, Avinash and Vasconcelos, Nuno and Bhotika, Rahul and Soatto, Stefano}, title = {Class-Incremental Learning With Strong Pre-Trained Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9601-9610} }

Robust Optimization As Data Augmentation for Large-Scale Graphs

Kezhi Kong,

Guohao Li,

Mucong Ding,

Zuxuan Wu,

Chen Zhu,

Bernard Ghanem,

Gavin Taylor,

Tom Goldstein

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kong_2022_CVPR, author = {Kong, Kezhi and Li, Guohao and Ding, Mucong and Wu, Zuxuan and Zhu, Chen and Ghanem, Bernard and Taylor, Gavin and Goldstein, Tom}, title = {Robust Optimization As Data Augmentation for Large-Scale Graphs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {60-69} }

Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients

Kaidong Li,

Ziming Zhang,

Cuncong Zhong,

Guanghui Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Kaidong and Zhang, Ziming and Zhong, Cuncong and Wang, Guanghui}, title = {Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15294-15304} }

PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes

Yu-Ying Yeh,

Zhengqin Li,

Yannick Hold-Geoffroy,

Rui Zhu,

Zexiang Xu,

Miloš Hašan,

Kalyan Sunkavalli,

Manmohan Chandraker

[pdf] [supp]

[bibtex]

@InProceedings{Yeh_2022_CVPR, author = {Yeh, Yu-Ying and Li, Zhengqin and Hold-Geoffroy, Yannick and Zhu, Rui and Xu, Zexiang and Ha\v{s}an, Milo\v{s} and Sunkavalli, Kalyan and Chandraker, Manmohan}, title = {PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18562-18571} }

Improving the Transferability of Targeted Adversarial Examples Through Object-Based Diverse Input

Junyoung Byun,

Seungju Cho,

Myung-Joon Kwon,

Hee-Seon Kim,

Changick Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Byun_2022_CVPR, author = {Byun, Junyoung and Cho, Seungju and Kwon, Myung-Joon and Kim, Hee-Seon and Kim, Changick}, title = {Improving the Transferability of Targeted Adversarial Examples Through Object-Based Diverse Input}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15244-15253} }

IRON: Inverse Rendering by Optimizing Neural SDFs and Materials From Photometric Images

Kai Zhang,

Fujun Luan,

Zhengqi Li,

Noah Snavely

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Kai and Luan, Fujun and Li, Zhengqi and Snavely, Noah}, title = {IRON: Inverse Rendering by Optimizing Neural SDFs and Materials From Photometric Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5565-5574} }

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer

Ruohan Gao,

Zilin Si,

Yen-Yu Chang,

Samuel Clarke,

Jeannette Bohg,

Li Fei-Fei,

Wenzhen Yuan,

Jiajun Wu

[pdf]

[bibtex]

@InProceedings{Gao_2022_CVPR, author = {Gao, Ruohan and Si, Zilin and Chang, Yen-Yu and Clarke, Samuel and Bohg, Jeannette and Fei-Fei, Li and Yuan, Wenzhen and Wu, Jiajun}, title = {ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10598-10608} }

Versatile Multi-Modal Pre-Training for Human-Centric Perception

Fangzhou Hong,

Liang Pan,

Zhongang Cai,

Ziwei Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Hong_2022_CVPR, author = {Hong, Fangzhou and Pan, Liang and Cai, Zhongang and Liu, Ziwei}, title = {Versatile Multi-Modal Pre-Training for Human-Centric Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16156-16166} }

360MonoDepth: High-Resolution 360deg Monocular Depth Estimation

Manuel Rey-Area,

Mingze Yuan,

Christian Richardt

[pdf] [supp]

[bibtex]

@InProceedings{Rey-Area_2022_CVPR, author = {Rey-Area, Manuel and Yuan, Mingze and Richardt, Christian}, title = {360MonoDepth: High-Resolution 360deg Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3762-3772} }

Splicing ViT Features for Semantic Appearance Transfer

Narek Tumanyan,

Omer Bar-Tal,

Shai Bagon,

Tali Dekel

[pdf]

[bibtex]

@InProceedings{Tumanyan_2022_CVPR, author = {Tumanyan, Narek and Bar-Tal, Omer and Bagon, Shai and Dekel, Tali}, title = {Splicing ViT Features for Semantic Appearance Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10748-10757} }

Contrastive Regression for Domain Adaptation on Gaze Estimation

Yaoming Wang,

Yangzhou Jiang,

Jin Li,

Bingbing Ni,

Wenrui Dai,

Chenglin Li,

Hongkai Xiong,

Teng Li

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yaoming and Jiang, Yangzhou and Li, Jin and Ni, Bingbing and Dai, Wenrui and Li, Chenglin and Xiong, Hongkai and Li, Teng}, title = {Contrastive Regression for Domain Adaptation on Gaze Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19376-19385} }

MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction

Mihee Lee,

Samuel S. Sohn,

Seonghyeon Moon,

Sejong Yoon,

Mubbasir Kapadia,

Vladimir Pavlovic

[pdf] [supp]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Mihee and Sohn, Samuel S. and Moon, Seonghyeon and Yoon, Sejong and Kapadia, Mubbasir and Pavlovic, Vladimir}, title = {MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2221-2230} }

Multi-View Consistent Generative Adversarial Networks for 3D-Aware Image Synthesis

Xuanmeng Zhang,

Zhedong Zheng,

Daiheng Gao,

Bang Zhang,

Pan Pan,

Yi Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Xuanmeng and Zheng, Zhedong and Gao, Daiheng and Zhang, Bang and Pan, Pan and Yang, Yi}, title = {Multi-View Consistent Generative Adversarial Networks for 3D-Aware Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18450-18459} }

Putting People in Their Place: Monocular Regression of 3D People in Depth

Yu Sun,

Wu Liu,

Qian Bao,

Yili Fu,

Tao Mei,

Michael J. Black

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Yu and Liu, Wu and Bao, Qian and Fu, Yili and Mei, Tao and Black, Michael J.}, title = {Putting People in Their Place: Monocular Regression of 3D People in Depth}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13243-13252} }

POCO: Point Convolution for Surface Reconstruction

Alexandre Boulch,

Renaud Marlet

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Boulch_2022_CVPR, author = {Boulch, Alexandre and Marlet, Renaud}, title = {POCO: Point Convolution for Surface Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6302-6314} }

Memory-Augmented Non-Local Attention for Video Super-Resolution

Jiyang Yu,

Jingen Liu,

Liefeng Bo,

Tao Mei

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Jiyang and Liu, Jingen and Bo, Liefeng and Mei, Tao}, title = {Memory-Augmented Non-Local Attention for Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17834-17843} }

Neural Texture Extraction and Distribution for Controllable Person Image Synthesis

Yurui Ren,

Xiaoqing Fan,

Ge Li,

Shan Liu,

Thomas H. Li

[pdf] [arXiv]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Yurui and Fan, Xiaoqing and Li, Ge and Liu, Shan and Li, Thomas H.}, title = {Neural Texture Extraction and Distribution for Controllable Person Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13535-13544} }

Classification-Then-Grounding: Reformulating Video Scene Graphs As Temporal Bipartite Graphs

Kaifeng Gao,

Long Chen,

Yulei Niu,

Jian Shao,

Jun Xiao

[pdf] [supp]

[bibtex]

@InProceedings{Gao_2022_CVPR, author = {Gao, Kaifeng and Chen, Long and Niu, Yulei and Shao, Jian and Xiao, Jun}, title = {Classification-Then-Grounding: Reformulating Video Scene Graphs As Temporal Bipartite Graphs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19497-19506} }

Transformer-Empowered Multi-Scale Contextual Matching and Aggregation for Multi-Contrast MRI Super-Resolution

Guangyuan Li,

Jun Lv,

Yapeng Tian,

Qi Dou,

Chengyan Wang,

Chenliang Xu,

Jing Qin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Guangyuan and Lv, Jun and Tian, Yapeng and Dou, Qi and Wang, Chengyan and Xu, Chenliang and Qin, Jing}, title = {Transformer-Empowered Multi-Scale Contextual Matching and Aggregation for Multi-Contrast MRI Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20636-20645} }

GazeOnce: Real-Time Multi-Person Gaze Estimation

Mingfang Zhang,

Yunfei Liu,

Feng Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Mingfang and Liu, Yunfei and Lu, Feng}, title = {GazeOnce: Real-Time Multi-Person Gaze Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4197-4206} }

GateHUB: Gated History Unit With Background Suppression for Online Action Detection

Junwen Chen,

Gaurav Mittal,

Ye Yu,

Yu Kong,

Mei Chen

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Junwen and Mittal, Gaurav and Yu, Ye and Kong, Yu and Chen, Mei}, title = {GateHUB: Gated History Unit With Background Suppression for Online Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19925-19934} }

Few-Shot Font Generation by Learning Fine-Grained Local Styles

Licheng Tang,

Yiyang Cai,

Jiaming Liu,

Zhibin Hong,

Mingming Gong,

Minhu Fan,

Junyu Han,

Jingtuo Liu,

Errui Ding,

Jingdong Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Licheng and Cai, Yiyang and Liu, Jiaming and Hong, Zhibin and Gong, Mingming and Fan, Minhu and Han, Junyu and Liu, Jingtuo and Ding, Errui and Wang, Jingdong}, title = {Few-Shot Font Generation by Learning Fine-Grained Local Styles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7895-7904} }

Bridging Video-Text Retrieval With Multiple Choice Questions

Yuying Ge,

Yixiao Ge,

Xihui Liu,

Dian Li,

Ying Shan,

Xiaohu Qie,

Ping Luo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ge_2022_CVPR, author = {Ge, Yuying and Ge, Yixiao and Liu, Xihui and Li, Dian and Shan, Ying and Qie, Xiaohu and Luo, Ping}, title = {Bridging Video-Text Retrieval With Multiple Choice Questions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16167-16176} }

Depth-Aware Generative Adversarial Network for Talking Head Video Generation

Fa-Ting Hong,

Longhao Zhang,

Li Shen,

Dan Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hong_2022_CVPR, author = {Hong, Fa-Ting and Zhang, Longhao and Shen, Li and Xu, Dan}, title = {Depth-Aware Generative Adversarial Network for Talking Head Video Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3397-3406} }

Dual-Path Image Inpainting With Auxiliary GAN Inversion

Wentao Wang,

Li Niu,

Jianfu Zhang,

Xue Yang,

Liqing Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Wentao and Niu, Li and Zhang, Jianfu and Yang, Xue and Zhang, Liqing}, title = {Dual-Path Image Inpainting With Auxiliary GAN Inversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11421-11430} }

DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis

Ming Tao,

Hao Tang,

Fei Wu,

Xiao-Yuan Jing,

Bing-Kun Bao,

Changsheng Xu

[pdf]

[bibtex]

@InProceedings{Tao_2022_CVPR, author = {Tao, Ming and Tang, Hao and Wu, Fei and Jing, Xiao-Yuan and Bao, Bing-Kun and Xu, Changsheng}, title = {DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16515-16525} }

Generative Flows With Invertible Attentions

Rhea Sanjay Sukthanker,

Zhiwu Huang,

Suryansh Kumar,

Radu Timofte,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sukthanker_2022_CVPR, author = {Sukthanker, Rhea Sanjay and Huang, Zhiwu and Kumar, Suryansh and Timofte, Radu and Van Gool, Luc}, title = {Generative Flows With Invertible Attentions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11234-11243} }

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers

Yunhui Guo,

Xudong Wang,

Yubei Chen,

Stella X. Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Yunhui and Wang, Xudong and Chen, Yubei and Yu, Stella X.}, title = {Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11-20} }

Estimating Fine-Grained Noise Model via Contrastive Learning

Yunhao Zou,

Ying Fu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zou_2022_CVPR, author = {Zou, Yunhao and Fu, Ying}, title = {Estimating Fine-Grained Noise Model via Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12682-12691} }

DiffPoseNet: Direct Differentiable Camera Pose Estimation

Chethan M. Parameshwara,

Gokul Hari,

Cornelia Fermüller,

Nitin J. Sanket,

Yiannis Aloimonos

[pdf]

[bibtex]

@InProceedings{Parameshwara_2022_CVPR, author = {Parameshwara, Chethan M. and Hari, Gokul and Ferm\"uller, Cornelia and Sanket, Nitin J. and Aloimonos, Yiannis}, title = {DiffPoseNet: Direct Differentiable Camera Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6845-6854} }

The Flag Median and FlagIRLS

Nathan Mankovich,

Emily J. King,

Chris Peterson,

Michael Kirby

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mankovich_2022_CVPR, author = {Mankovich, Nathan and King, Emily J. and Peterson, Chris and Kirby, Michael}, title = {The Flag Median and FlagIRLS}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10339-10347} }

Implicit Feature Decoupling With Depthwise Quantization

Iordanis Fostiropoulos,

Barry Boehm

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fostiropoulos_2022_CVPR, author = {Fostiropoulos, Iordanis and Boehm, Barry}, title = {Implicit Feature Decoupling With Depthwise Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {396-405} }

Graph-Context Attention Networks for Size-Varied Deep Graph Matching

Zheheng Jiang,

Hossein Rahmani,

Plamen Angelov,

Sue Black,

Bryan M. Williams

[pdf] [supp]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Zheheng and Rahmani, Hossein and Angelov, Plamen and Black, Sue and Williams, Bryan M.}, title = {Graph-Context Attention Networks for Size-Varied Deep Graph Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2343-2352} }

FENeRF: Face Editing in Neural Radiance Fields

Jingxiang Sun,

Xuan Wang,

Yong Zhang,

Xiaoyu Li,

Qi Zhang,

Yebin Liu,

Jue Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Jingxiang and Wang, Xuan and Zhang, Yong and Li, Xiaoyu and Zhang, Qi and Liu, Yebin and Wang, Jue}, title = {FENeRF: Face Editing in Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7672-7682} }

CoNeRF: Controllable Neural Radiance Fields

Kacper Kania,

Kwang Moo Yi,

Marek Kowalski,

Tomasz Trzciński,

Andrea Tagliasacchi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kania_2022_CVPR, author = {Kania, Kacper and Yi, Kwang Moo and Kowalski, Marek and Trzci\'nski, Tomasz and Tagliasacchi, Andrea}, title = {CoNeRF: Controllable Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18623-18632} }

Noise2NoiseFlow: Realistic Camera Noise Modeling Without Clean Images

Ali Maleky,

Shayan Kousha,

Michael S. Brown,

Marcus A. Brubaker

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Maleky_2022_CVPR, author = {Maleky, Ali and Kousha, Shayan and Brown, Michael S. and Brubaker, Marcus A.}, title = {Noise2NoiseFlow: Realistic Camera Noise Modeling Without Clean Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17632-17641} }

ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes

Dina Bashkirova,

Mohamed Abdelfattah,

Ziliang Zhu,

James Akl,

Fadi Alladkani,

Ping Hu,

Vitaly Ablavsky,

Berk Calli,

Sarah Adel Bargal,

Kate Saenko

[pdf] [arXiv]

[bibtex]

@InProceedings{Bashkirova_2022_CVPR, author = {Bashkirova, Dina and Abdelfattah, Mohamed and Zhu, Ziliang and Akl, James and Alladkani, Fadi and Hu, Ping and Ablavsky, Vitaly and Calli, Berk and Bargal, Sarah Adel and Saenko, Kate}, title = {ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21147-21157} }

Remember Intentions: Retrospective-Memory-Based Trajectory Prediction

Chenxin Xu,

Weibo Mao,

Wenjun Zhang,

Siheng Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Chenxin and Mao, Weibo and Zhang, Wenjun and Chen, Siheng}, title = {Remember Intentions: Retrospective-Memory-Based Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6488-6497} }

Measuring Compositional Consistency for Video Question Answering

Mona Gandhi,

Mustafa Omer Gul,

Eva Prakash,

Madeleine Grunde-McLaughlin,

Ranjay Krishna,

Maneesh Agrawala

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gandhi_2022_CVPR, author = {Gandhi, Mona and Gul, Mustafa Omer and Prakash, Eva and Grunde-McLaughlin, Madeleine and Krishna, Ranjay and Agrawala, Maneesh}, title = {Measuring Compositional Consistency for Video Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5046-5055} }

Category Contrast for Unsupervised Domain Adaptation in Visual Tasks

Jiaxing Huang,

Dayan Guan,

Aoran Xiao,

Shijian Lu,

Ling Shao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Jiaxing and Guan, Dayan and Xiao, Aoran and Lu, Shijian and Shao, Ling}, title = {Category Contrast for Unsupervised Domain Adaptation in Visual Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1203-1214} }

SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering

Vipul Gupta,

Zhuowan Li,

Adam Kortylewski,

Chenyu Zhang,

Yingwei Li,

Alan Yuille

[pdf] [arXiv]

[bibtex]

@InProceedings{Gupta_2022_CVPR, author = {Gupta, Vipul and Li, Zhuowan and Kortylewski, Adam and Zhang, Chenyu and Li, Yingwei and Yuille, Alan}, title = {SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5078-5088} }

UNIST: Unpaired Neural Implicit Shape Translation Network

Qimin Chen,

Johannes Merz,

Aditya Sanghi,

Hooman Shayani,

Ali Mahdavi-Amiri,

Hao Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Qimin and Merz, Johannes and Sanghi, Aditya and Shayani, Hooman and Mahdavi-Amiri, Ali and Zhang, Hao}, title = {UNIST: Unpaired Neural Implicit Shape Translation Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18614-18622} }

Local-Adaptive Face Recognition via Graph-Based Meta-Clustering and Regularized Adaptation

Wenbin Zhu,

Chien-Yi Wang,

Kuan-Lun Tseng,

Shang-Hong Lai,

Baoyuan Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Wenbin and Wang, Chien-Yi and Tseng, Kuan-Lun and Lai, Shang-Hong and Wang, Baoyuan}, title = {Local-Adaptive Face Recognition via Graph-Based Meta-Clustering and Regularized Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20301-20310} }

The DEVIL Is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting

Ryan Szeto,

Jason J. Corso

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Szeto_2022_CVPR, author = {Szeto, Ryan and Corso, Jason J.}, title = {The DEVIL Is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21054-21063} }

Mutual Information-Driven Pan-Sharpening

Man Zhou,

Keyu Yan,

Jie Huang,

Zihe Yang,

Xueyang Fu,

Feng Zhao

[pdf]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Man and Yan, Keyu and Huang, Jie and Yang, Zihe and Fu, Xueyang and Zhao, Feng}, title = {Mutual Information-Driven Pan-Sharpening}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1798-1808} }

Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding

Jiabo Ye,

Junfeng Tian,

Ming Yan,

Xiaoshan Yang,

Xuwu Wang,

Ji Zhang,

Liang He,

Xin Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Jiabo and Tian, Junfeng and Yan, Ming and Yang, Xiaoshan and Wang, Xuwu and Zhang, Ji and He, Liang and Lin, Xin}, title = {Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15502-15512} }

A Framework for Learning Ante-Hoc Explainable Models via Concepts

Anirban Sarkar,

Deepak Vijaykeerthy,

Anindya Sarkar,

Vineeth N Balasubramanian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sarkar_2022_CVPR, author = {Sarkar, Anirban and Vijaykeerthy, Deepak and Sarkar, Anindya and Balasubramanian, Vineeth N}, title = {A Framework for Learning Ante-Hoc Explainable Models via Concepts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10286-10295} }

Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior

Davis Rempe,

Jonah Philion,

Leonidas J. Guibas,

Sanja Fidler,

Or Litany

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rempe_2022_CVPR, author = {Rempe, Davis and Philion, Jonah and Guibas, Leonidas J. and Fidler, Sanja and Litany, Or}, title = {Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17305-17315} }

FLOAT: Factorized Learning of Object Attributes for Improved Multi-Object Multi-Part Scene Parsing

Rishubh Singh,

Pranav Gupta,

Pradeep Shenoy,

Ravikiran Sarvadevabhatla

[pdf] [arXiv]

[bibtex]

@InProceedings{Singh_2022_CVPR, author = {Singh, Rishubh and Gupta, Pranav and Shenoy, Pradeep and Sarvadevabhatla, Ravikiran}, title = {FLOAT: Factorized Learning of Object Attributes for Improved Multi-Object Multi-Part Scene Parsing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1445-1455} }

Efficient Geometry-Aware 3D Generative Adversarial Networks

Eric R. Chan,

Connor Z. Lin,

Matthew A. Chan,

Koki Nagano,

Boxiao Pan,

Shalini De Mello,

Orazio Gallo,

Leonidas J. Guibas,

Jonathan Tremblay,

Sameh Khamis,

Tero Karras,

Gordon Wetzstein

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chan_2022_CVPR, author = {Chan, Eric R. and Lin, Connor Z. and Chan, Matthew A. and Nagano, Koki and Pan, Boxiao and De Mello, Shalini and Gallo, Orazio and Guibas, Leonidas J. and Tremblay, Jonathan and Khamis, Sameh and Karras, Tero and Wetzstein, Gordon}, title = {Efficient Geometry-Aware 3D Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16123-16133} }

DO-GAN: A Double Oracle Framework for Generative Adversarial Networks

Aye Phyu Phyu Aung,

Xinrun Wang,

Runsheng Yu,

Bo An,

Senthilnath Jayavelu,

Xiaoli Li

[pdf] [supp]

[bibtex]

@InProceedings{Aung_2022_CVPR, author = {Aung, Aye Phyu Phyu and Wang, Xinrun and Yu, Runsheng and An, Bo and Jayavelu, Senthilnath and Li, Xiaoli}, title = {DO-GAN: A Double Oracle Framework for Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11275-11284} }

Dancing Under the Stars: Video Denoising in Starlight

Kristina Monakhova,

Stephan R. Richter,

Laura Waller,

Vladlen Koltun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Monakhova_2022_CVPR, author = {Monakhova, Kristina and Richter, Stephan R. and Waller, Laura and Koltun, Vladlen}, title = {Dancing Under the Stars: Video Denoising in Starlight}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16241-16251} }

FocusCut: Diving Into a Focus View in Interactive Segmentation

Zheng Lin,

Zheng-Peng Duan,

Zhao Zhang,

Chun-Le Guo,

Ming-Ming Cheng

[pdf]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Zheng and Duan, Zheng-Peng and Zhang, Zhao and Guo, Chun-Le and Cheng, Ming-Ming}, title = {FocusCut: Diving Into a Focus View in Interactive Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2637-2646} }

Medial Spectral Coordinates for 3D Shape Analysis

Morteza Rezanejad,

Mohammad Khodadad,

Hamidreza Mahyar,

Herve Lombaert,

Michael Gruninger,

Dirk Walther,

Kaleem Siddiqi

[pdf] [arXiv]

[bibtex]

@InProceedings{Rezanejad_2022_CVPR, author = {Rezanejad, Morteza and Khodadad, Mohammad and Mahyar, Hamidreza and Lombaert, Herve and Gruninger, Michael and Walther, Dirk and Siddiqi, Kaleem}, title = {Medial Spectral Coordinates for 3D Shape Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2686-2696} }

Contextualized Spatio-Temporal Contrastive Learning With Self-Supervision

Liangzhe Yuan,

Rui Qian,

Yin Cui,

Boqing Gong,

Florian Schroff,

Ming-Hsuan Yang,

Hartwig Adam,

Ting Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yuan_2022_CVPR, author = {Yuan, Liangzhe and Qian, Rui and Cui, Yin and Gong, Boqing and Schroff, Florian and Yang, Ming-Hsuan and Adam, Hartwig and Liu, Ting}, title = {Contextualized Spatio-Temporal Contrastive Learning With Self-Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13977-13986} }

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning

Liangqiong Qu,

Yuyin Zhou,

Paul Pu Liang,

Yingda Xia,

Feifei Wang,

Ehsan Adeli,

Li Fei-Fei,

Daniel Rubin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Qu_2022_CVPR, author = {Qu, Liangqiong and Zhou, Yuyin and Liang, Paul Pu and Xia, Yingda and Wang, Feifei and Adeli, Ehsan and Fei-Fei, Li and Rubin, Daniel}, title = {Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10061-10071} }

APES: Articulated Part Extraction From Sprite Sheets

Zhan Xu,

Matthew Fisher,

Yang Zhou,

Deepali Aneja,

Rushikesh Dudhat,

Li Yi,

Evangelos Kalogerakis

[pdf] [supp]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Zhan and Fisher, Matthew and Zhou, Yang and Aneja, Deepali and Dudhat, Rushikesh and Yi, Li and Kalogerakis, Evangelos}, title = {APES: Articulated Part Extraction From Sprite Sheets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11635-11644} }

Dressing in the Wild by Watching Dance Videos

Xin Dong,

Fuwei Zhao,

Zhenyu Xie,

Xijin Zhang,

Daniel K. Du,

Min Zheng,

Xiang Long,

Xiaodan Liang,

Jianchao Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Xin and Zhao, Fuwei and Xie, Zhenyu and Zhang, Xijin and Du, Daniel K. and Zheng, Min and Long, Xiang and Liang, Xiaodan and Yang, Jianchao}, title = {Dressing in the Wild by Watching Dance Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3480-3489} }

SPAct: Self-Supervised Privacy Preservation for Action Recognition

Ishan Rajendrakumar Dave,

Chen Chen,

Mubarak Shah

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dave_2022_CVPR, author = {Dave, Ishan Rajendrakumar and Chen, Chen and Shah, Mubarak}, title = {SPAct: Self-Supervised Privacy Preservation for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20164-20173} }

Uni6D: A Unified CNN Framework Without Projection Breakdown for 6D Pose Estimation

Xiaoke Jiang,

Donghai Li,

Hao Chen,

Ye Zheng,

Rui Zhao,

Liwei Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Xiaoke and Li, Donghai and Chen, Hao and Zheng, Ye and Zhao, Rui and Wu, Liwei}, title = {Uni6D: A Unified CNN Framework Without Projection Breakdown for 6D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11174-11184} }

De-Rendering 3D Objects in the Wild

Felix Wimbauer,

Shangzhe Wu,

Christian Rupprecht

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wimbauer_2022_CVPR, author = {Wimbauer, Felix and Wu, Shangzhe and Rupprecht, Christian}, title = {De-Rendering 3D Objects in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18490-18499} }

SPAMs: Structured Implicit Parametric Models

Pablo Palafox,

Nikolaos Sarafianos,

Tony Tung,

Angela Dai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Palafox_2022_CVPR, author = {Palafox, Pablo and Sarafianos, Nikolaos and Tung, Tony and Dai, Angela}, title = {SPAMs: Structured Implicit Parametric Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12851-12860} }

Global Sensing and Measurements Reuse for Image Compressed Sensing

Zi-En Fan,

Feng Lian,

Jia-Ni Quan

[pdf]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Zi-En and Lian, Feng and Quan, Jia-Ni}, title = {Global Sensing and Measurements Reuse for Image Compressed Sensing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8954-8963} }

SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information

Dasol Han,

Jaewook Yoo,

Dokwan Oh

[pdf] [supp]

[bibtex]

@InProceedings{Han_2022_CVPR, author = {Han, Dasol and Yoo, Jaewook and Oh, Dokwan}, title = {SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4463-4472} }

Representing 3D Shapes With Probabilistic Directed Distance Fields

Tristan Aumentado-Armstrong,

Stavros Tsogkas,

Sven Dickinson,

Allan D. Jepson

[pdf] [supp]

[bibtex]

@InProceedings{Aumentado-Armstrong_2022_CVPR, author = {Aumentado-Armstrong, Tristan and Tsogkas, Stavros and Dickinson, Sven and Jepson, Allan D.}, title = {Representing 3D Shapes With Probabilistic Directed Distance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19343-19354} }

Learning ABCs: Approximate Bijective Correspondence for Isolating Factors of Variation With Weak Supervision

Kieran A. Murphy,

Varun Jampani,

Srikumar Ramalingam,

Ameesh Makadia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Murphy_2022_CVPR, author = {Murphy, Kieran A. and Jampani, Varun and Ramalingam, Srikumar and Makadia, Ameesh}, title = {Learning ABCs: Approximate Bijective Correspondence for Isolating Factors of Variation With Weak Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16010-16020} }

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding

Jasmine Collins,

Shubham Goel,

Kenan Deng,

Achleshwar Luthra,

Leon Xu,

Erhan Gundogdu,

Xi Zhang,

Tomas F. Yago Vicente,

Thomas Dideriksen,

Himanshu Arora,

Matthieu Guillaumin,

Jitendra Malik

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Collins_2022_CVPR, author = {Collins, Jasmine and Goel, Shubham and Deng, Kenan and Luthra, Achleshwar and Xu, Leon and Gundogdu, Erhan and Zhang, Xi and Vicente, Tomas F. Yago and Dideriksen, Thomas and Arora, Himanshu and Guillaumin, Matthieu and Malik, Jitendra}, title = {ABO: Dataset and Benchmarks for Real-World 3D Object Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21126-21136} }

DETReg: Unsupervised Pretraining With Region Priors for Object Detection

Amir Bar,

Xin Wang,

Vadim Kantorov,

Colorado J. Reed,

Roei Herzig,

Gal Chechik,

Anna Rohrbach,

Trevor Darrell,

Amir Globerson

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bar_2022_CVPR, author = {Bar, Amir and Wang, Xin and Kantorov, Vadim and Reed, Colorado J. and Herzig, Roei and Chechik, Gal and Rohrbach, Anna and Darrell, Trevor and Globerson, Amir}, title = {DETReg: Unsupervised Pretraining With Region Priors for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14605-14615} }

Learning To Restore 3D Face From In-the-Wild Degraded Images

Zhenyu Zhang,

Yanhao Ge,

Ying Tai,

Xiaoming Huang,

Chengjie Wang,

Hao Tang,

Dongjin Huang,

Zhifeng Xie

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Zhenyu and Ge, Yanhao and Tai, Ying and Huang, Xiaoming and Wang, Chengjie and Tang, Hao and Huang, Dongjin and Xie, Zhifeng}, title = {Learning To Restore 3D Face From In-the-Wild Degraded Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4237-4247} }

Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack

Ye Liu,

Yaya Cheng,

Lianli Gao,

Xianglong Liu,

Qilong Zhang,

Jingkuan Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Ye and Cheng, Yaya and Gao, Lianli and Liu, Xianglong and Zhang, Qilong and Song, Jingkuan}, title = {Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15105-15114} }

Convolutions for Spatial Interaction Modeling

Zhaoen Su,

Chao Wang,

David Bradley,

Carlos Vallespi-Gonzalez,

Carl Wellington,

Nemanja Djuric

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Su_2022_CVPR, author = {Su, Zhaoen and Wang, Chao and Bradley, David and Vallespi-Gonzalez, Carlos and Wellington, Carl and Djuric, Nemanja}, title = {Convolutions for Spatial Interaction Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6583-6592} }

MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection

Rui Dai,

Srijan Das,

Kumara Kahatapitiya,

Michael S. Ryoo,

François Brémond

[pdf] [supp]

[bibtex]

@InProceedings{Dai_2022_CVPR, author = {Dai, Rui and Das, Srijan and Kahatapitiya, Kumara and Ryoo, Michael S. and Br\'emond, Fran\c{c}ois}, title = {MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20041-20051} }

Salvage of Supervision in Weakly Supervised Object Detection

Lin Sui,

Chen-Lin Zhang,

Jianxin Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sui_2022_CVPR, author = {Sui, Lin and Zhang, Chen-Lin and Wu, Jianxin}, title = {Salvage of Supervision in Weakly Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14227-14236} }

Cross-View Transformers for Real-Time Map-View Semantic Segmentation

Brady Zhou,

Philipp Krähenbühl

[pdf]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Brady and Kr\"ahenb\"uhl, Philipp}, title = {Cross-View Transformers for Real-Time Map-View Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13760-13769} }

Distinguishing Unseen From Seen for Generalized Zero-Shot Learning

Hongzu Su,

Jingjing Li,

Zhi Chen,

Lei Zhu,

Ke Lu

[pdf]

[bibtex]

@InProceedings{Su_2022_CVPR, author = {Su, Hongzu and Li, Jingjing and Chen, Zhi and Zhu, Lei and Lu, Ke}, title = {Distinguishing Unseen From Seen for Generalized Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7885-7894} }

Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries

Jihwan Bang,

Hyunseo Koh,

Seulki Park,

Hwanjun Song,

Jung-Woo Ha,

Jonghyun Choi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bang_2022_CVPR, author = {Bang, Jihwan and Koh, Hyunseo and Park, Seulki and Song, Hwanjun and Ha, Jung-Woo and Choi, Jonghyun}, title = {Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9275-9284} }

Controllable Dynamic Multi-Task Architectures

Dripta S. Raychaudhuri,

Yumin Suh,

Samuel Schulter,

Xiang Yu,

Masoud Faraki,

Amit K. Roy-Chowdhury,

Manmohan Chandraker

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Raychaudhuri_2022_CVPR, author = {Raychaudhuri, Dripta S. and Suh, Yumin and Schulter, Samuel and Yu, Xiang and Faraki, Masoud and Roy-Chowdhury, Amit K. and Chandraker, Manmohan}, title = {Controllable Dynamic Multi-Task Architectures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10955-10964} }

Learning To Imagine: Diversify Memory for Incremental Learning Using Unlabeled Data

Yu-Ming Tang,

Yi-Xing Peng,

Wei-Shi Zheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Yu-Ming and Peng, Yi-Xing and Zheng, Wei-Shi}, title = {Learning To Imagine: Diversify Memory for Incremental Learning Using Unlabeled Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9549-9558} }

SmartAdapt: Multi-Branch Object Detection Framework for Videos on Mobiles

Ran Xu,

Fangzhou Mu,

Jayoung Lee,

Preeti Mukherjee,

Somali Chaterji,

Saurabh Bagchi,

Yin Li

[pdf] [supp]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Ran and Mu, Fangzhou and Lee, Jayoung and Mukherjee, Preeti and Chaterji, Somali and Bagchi, Saurabh and Li, Yin}, title = {SmartAdapt: Multi-Branch Object Detection Framework for Videos on Mobiles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2528-2538} }

VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks

Yi-Lin Sung,

Jaemin Cho,

Mohit Bansal

[pdf] [supp]

[bibtex]

@InProceedings{Sung_2022_CVPR, author = {Sung, Yi-Lin and Cho, Jaemin and Bansal, Mohit}, title = {VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5227-5237} }

Deep Hybrid Models for Out-of-Distribution Detection

Senqi Cao,

Zhongfei Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Senqi and Zhang, Zhongfei}, title = {Deep Hybrid Models for Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4733-4743} }

Accelerating Video Object Segmentation With Compressed Video

Kai Xu,

Angela Yao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Kai and Yao, Angela}, title = {Accelerating Video Object Segmentation With Compressed Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1342-1351} }

Exploring Domain-Invariant Parameters for Source Free Domain Adaptation

Fan Wang,

Zhongyi Han,

Yongshun Gong,

Yilong Yin

[pdf]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Fan and Han, Zhongyi and Gong, Yongshun and Yin, Yilong}, title = {Exploring Domain-Invariant Parameters for Source Free Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7151-7160} }

FastDOG: Fast Discrete Optimization on GPU

Ahmed Abbas,

Paul Swoboda

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Abbas_2022_CVPR, author = {Abbas, Ahmed and Swoboda, Paul}, title = {FastDOG: Fast Discrete Optimization on GPU}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {439-449} }

Fire Together Wire Together: A Dynamic Pruning Approach With Self-Supervised Mask Prediction

Sara Elkerdawy,

Mostafa Elhoushi,

Hong Zhang,

Nilanjan Ray

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Elkerdawy_2022_CVPR, author = {Elkerdawy, Sara and Elhoushi, Mostafa and Zhang, Hong and Ray, Nilanjan}, title = {Fire Together Wire Together: A Dynamic Pruning Approach With Self-Supervised Mask Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12454-12463} }

Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection

Yifan Wang,

Wenbo Zhang,

Lijun Wang,

Ting Liu,

Huchuan Lu

[pdf]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yifan and Zhang, Wenbo and Wang, Lijun and Liu, Ting and Lu, Huchuan}, title = {Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11727-11736} }

Self-Supervised Equivariant Learning for Oriented Keypoint Detection

Jongmin Lee,

Byungjin Kim,

Minsu Cho

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Jongmin and Kim, Byungjin and Cho, Minsu}, title = {Self-Supervised Equivariant Learning for Oriented Keypoint Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4847-4857} }

Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation

Linfeng Zhang,

Xin Chen,

Xiaobing Tu,

Pengfei Wan,

Ning Xu,

Kaisheng Ma

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Linfeng and Chen, Xin and Tu, Xiaobing and Wan, Pengfei and Xu, Ning and Ma, Kaisheng}, title = {Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12464-12474} }

Focal and Global Knowledge Distillation for Detectors

Zhendong Yang,

Zhe Li,

Xiaohu Jiang,

Yuan Gong,

Zehuan Yuan,

Danpei Zhao,

Chun Yuan

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Zhendong and Li, Zhe and Jiang, Xiaohu and Gong, Yuan and Yuan, Zehuan and Zhao, Danpei and Yuan, Chun}, title = {Focal and Global Knowledge Distillation for Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4643-4652} }

Learning To Prompt for Continual Learning

Zifeng Wang,

Zizhao Zhang,

Chen-Yu Lee,

Han Zhang,

Ruoxi Sun,

Xiaoqi Ren,

Guolong Su,

Vincent Perot,

Jennifer Dy,

Tomas Pfister

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zifeng and Zhang, Zizhao and Lee, Chen-Yu and Zhang, Han and Sun, Ruoxi and Ren, Xiaoqi and Su, Guolong and Perot, Vincent and Dy, Jennifer and Pfister, Tomas}, title = {Learning To Prompt for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {139-149} }

Human Mesh Recovery From Multiple Shots

Georgios Pavlakos,

Jitendra Malik,

Angjoo Kanazawa

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pavlakos_2022_CVPR, author = {Pavlakos, Georgios and Malik, Jitendra and Kanazawa, Angjoo}, title = {Human Mesh Recovery From Multiple Shots}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1485-1495} }

Improving Adversarial Transferability via Neuron Attribution-Based Attacks

Jianping Zhang,

Weibin Wu,

Jen-tse Huang,

Yizhan Huang,

Wenxuan Wang,

Yuxin Su,

Michael R. Lyu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jianping and Wu, Weibin and Huang, Jen-tse and Huang, Yizhan and Wang, Wenxuan and Su, Yuxin and Lyu, Michael R.}, title = {Improving Adversarial Transferability via Neuron Attribution-Based Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14993-15002} }

Better Trigger Inversion Optimization in Backdoor Scanning

Guanhong Tao,

Guangyu Shen,

Yingqi Liu,

Shengwei An,

Qiuling Xu,

Shiqing Ma,

Pan Li,

Xiangyu Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Tao_2022_CVPR, author = {Tao, Guanhong and Shen, Guangyu and Liu, Yingqi and An, Shengwei and Xu, Qiuling and Ma, Shiqing and Li, Pan and Zhang, Xiangyu}, title = {Better Trigger Inversion Optimization in Backdoor Scanning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13368-13378} }

GANSeg: Learning To Segment by Unsupervised Hierarchical Image Generation

Xingzhe He,

Bastian Wandt,

Helge Rhodin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Xingzhe and Wandt, Bastian and Rhodin, Helge}, title = {GANSeg: Learning To Segment by Unsupervised Hierarchical Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1225-1235} }

Dense Learning Based Semi-Supervised Object Detection

Binghui Chen,

Pengyu Li,

Xiang Chen,

Biao Wang,

Lei Zhang,

Xian-Sheng Hua

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Binghui and Li, Pengyu and Chen, Xiang and Wang, Biao and Zhang, Lei and Hua, Xian-Sheng}, title = {Dense Learning Based Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4815-4824} }

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction

Yining Hong,

Kaichun Mo,

Li Yi,

Leonidas J. Guibas,

Antonio Torralba,

Joshua B. Tenenbaum,

Chuang Gan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hong_2022_CVPR, author = {Hong, Yining and Mo, Kaichun and Yi, Li and Guibas, Leonidas J. and Torralba, Antonio and Tenenbaum, Joshua B. and Gan, Chuang}, title = {Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1413-1423} }

Convolution of Convolution: Let Kernels Spatially Collaborate

Rongzhen Zhao,

Jian Li,

Zhenzhi Wu

[pdf]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Rongzhen and Li, Jian and Wu, Zhenzhi}, title = {Convolution of Convolution: Let Kernels Spatially Collaborate}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {651-660} }

Make It Move: Controllable Image-to-Video Generation With Text Descriptions

Yaosi Hu,

Chong Luo,

Zhenzhong Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Yaosi and Luo, Chong and Chen, Zhenzhong}, title = {Make It Move: Controllable Image-to-Video Generation With Text Descriptions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18219-18228} }

C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection

Tong Wang,

Yousong Zhu,

Yingying Chen,

Chaoyang Zhao,

Bin Yu,

Jinqiao Wang,

Ming Tang

[pdf]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Tong and Zhu, Yousong and Chen, Yingying and Zhao, Chaoyang and Yu, Bin and Wang, Jinqiao and Tang, Ming}, title = {C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6980-6989} }

Neural Points: Point Cloud Representation With Neural Fields for Arbitrary Upsampling

Wanquan Feng,

Jin Li,

Hongrui Cai,

Xiaonan Luo,

Juyong Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Feng_2022_CVPR, author = {Feng, Wanquan and Li, Jin and Cai, Hongrui and Luo, Xiaonan and Zhang, Juyong}, title = {Neural Points: Point Cloud Representation With Neural Fields for Arbitrary Upsampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18633-18642} }

Distribution Consistent Neural Architecture Search

Junyi Pan,

Chong Sun,

Yizhou Zhou,

Ying Zhang,

Chen Li

[pdf]

[bibtex]

@InProceedings{Pan_2022_CVPR, author = {Pan, Junyi and Sun, Chong and Zhou, Yizhou and Zhang, Ying and Li, Chen}, title = {Distribution Consistent Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10884-10893} }

Video-Text Representation Learning via Differentiable Weak Temporal Alignment

Dohwan Ko,

Joonmyung Choi,

Juyeon Ko,

Shinyeong Noh,

Kyoung-Woon On,

Eun-Sol Kim,

Hyunwoo J. Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ko_2022_CVPR, author = {Ko, Dohwan and Choi, Joonmyung and Ko, Juyeon and Noh, Shinyeong and On, Kyoung-Woon and Kim, Eun-Sol and Kim, Hyunwoo J.}, title = {Video-Text Representation Learning via Differentiable Weak Temporal Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5016-5025} }

Bi-Directional Object-Context Prioritization Learning for Saliency Ranking

Xin Tian,

Ke Xu,

Xin Yang,

Lin Du,

Baocai Yin,

Rynson W.H. Lau

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tian_2022_CVPR, author = {Tian, Xin and Xu, Ke and Yang, Xin and Du, Lin and Yin, Baocai and Lau, Rynson W.H.}, title = {Bi-Directional Object-Context Prioritization Learning for Saliency Ranking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5882-5891} }

FreeSOLO: Learning To Segment Objects Without Annotations

Xinlong Wang,

Zhiding Yu,

Shalini De Mello,

Jan Kautz,

Anima Anandkumar,

Chunhua Shen,

Jose M. Alvarez

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Xinlong and Yu, Zhiding and De Mello, Shalini and Kautz, Jan and Anandkumar, Anima and Shen, Chunhua and Alvarez, Jose M.}, title = {FreeSOLO: Learning To Segment Objects Without Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14176-14186} }

What Do Navigation Agents Learn About Their Environment?

Kshitij Dwivedi,

Gemma Roig,

Aniruddha Kembhavi,

Roozbeh Mottaghi

[pdf] [supp]

[bibtex]

@InProceedings{Dwivedi_2022_CVPR, author = {Dwivedi, Kshitij and Roig, Gemma and Kembhavi, Aniruddha and Mottaghi, Roozbeh}, title = {What Do Navigation Agents Learn About Their Environment?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10276-10285} }

Progressive Minimal Path Method With Embedded CNN

Wei Liao

[pdf] [arXiv]

[bibtex]

@InProceedings{Liao_2022_CVPR, author = {Liao, Wei}, title = {Progressive Minimal Path Method With Embedded CNN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4514-4522} }

FIFO: Learning Fog-Invariant Features for Foggy Scene Segmentation

Sohyun Lee,

Taeyoung Son,

Suha Kwak

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Sohyun and Son, Taeyoung and Kwak, Suha}, title = {FIFO: Learning Fog-Invariant Features for Foggy Scene Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18911-18921} }

3D Human Tongue Reconstruction From Single "In-the-Wild" Images

Stylianos Ploumpis,

Stylianos Moschoglou,

Vasileios Triantafyllou,

Stefanos Zafeiriou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ploumpis_2022_CVPR, author = {Ploumpis, Stylianos and Moschoglou, Stylianos and Triantafyllou, Vasileios and Zafeiriou, Stefanos}, title = {3D Human Tongue Reconstruction From Single ''In-the-Wild'' Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2771-2780} }

Enhancing Adversarial Robustness for Deep Metric Learning

Mo Zhou,

Vishal M. Patel

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Mo and Patel, Vishal M.}, title = {Enhancing Adversarial Robustness for Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15325-15334} }

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

Jiaqi Gu,

Hyoukjun Kwon,

Dilin Wang,

Wei Ye,

Meng Li,

Yu-Hsin Chen,

Liangzhen Lai,

Vikas Chandra,

David Z. Pan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gu_2022_CVPR, author = {Gu, Jiaqi and Kwon, Hyoukjun and Wang, Dilin and Ye, Wei and Li, Meng and Chen, Yu-Hsin and Lai, Liangzhen and Chandra, Vikas and Pan, David Z.}, title = {Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12094-12103} }

Lite-MDETR: A Lightweight Multi-Modal Detector

Qian Lou,

Yen-Chang Hsu,

Burak Uzkent,

Ting Hua,

Yilin Shen,

Hongxia Jin

[pdf]

[bibtex]

@InProceedings{Lou_2022_CVPR, author = {Lou, Qian and Hsu, Yen-Chang and Uzkent, Burak and Hua, Ting and Shen, Yilin and Jin, Hongxia}, title = {Lite-MDETR: A Lightweight Multi-Modal Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12206-12215} }

CoordGAN: Self-Supervised Dense Correspondences Emerge From GANs

Jiteng Mu,

Shalini De Mello,

Zhiding Yu,

Nuno Vasconcelos,

Xiaolong Wang,

Jan Kautz,

Sifei Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mu_2022_CVPR, author = {Mu, Jiteng and De Mello, Shalini and Yu, Zhiding and Vasconcelos, Nuno and Wang, Xiaolong and Kautz, Jan and Liu, Sifei}, title = {CoordGAN: Self-Supervised Dense Correspondences Emerge From GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10011-10020} }

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

Yutong Chen,

Fangyun Wei,

Xiao Sun,

Zhirong Wu,

Stephen Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Yutong and Wei, Fangyun and Sun, Xiao and Wu, Zhirong and Lin, Stephen}, title = {A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5120-5130} }

Unsupervised Visual Representation Learning by Online Constrained K-Means

Qi Qian,

Yuanhong Xu,

Juhua Hu,

Hao Li,

Rong Jin

[pdf] [supp]

[bibtex]

@InProceedings{Qian_2022_CVPR, author = {Qian, Qi and Xu, Yuanhong and Hu, Juhua and Li, Hao and Jin, Rong}, title = {Unsupervised Visual Representation Learning by Online Constrained K-Means}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16640-16649} }

Neural Point Light Fields

Julian Ost,

Issam Laradji,

Alejandro Newell,

Yuval Bahat,

Felix Heide

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ost_2022_CVPR, author = {Ost, Julian and Laradji, Issam and Newell, Alejandro and Bahat, Yuval and Heide, Felix}, title = {Neural Point Light Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18419-18429} }

Vehicle Trajectory Prediction Works, but Not Everywhere

Mohammadhossein Bahari,

Saeed Saadatnejad,

Ahmad Rahimi,

Mohammad Shaverdikondori,

Amir Hossein Shahidzadeh,

Seyed-Mohsen Moosavi-Dezfooli,

Alexandre Alahi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bahari_2022_CVPR, author = {Bahari, Mohammadhossein and Saadatnejad, Saeed and Rahimi, Ahmad and Shaverdikondori, Mohammad and Shahidzadeh, Amir Hossein and Moosavi-Dezfooli, Seyed-Mohsen and Alahi, Alexandre}, title = {Vehicle Trajectory Prediction Works, but Not Everywhere}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17123-17133} }

PSMNet: Position-Aware Stereo Merging Network for Room Layout Estimation

Haiyan Wang,

Will Hutchcroft,

Yuguang Li,

Zhiqiang Wan,

Ivaylo Boyadzhiev,

Yingli Tian,

Sing Bing Kang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Haiyan and Hutchcroft, Will and Li, Yuguang and Wan, Zhiqiang and Boyadzhiev, Ivaylo and Tian, Yingli and Kang, Sing Bing}, title = {PSMNet: Position-Aware Stereo Merging Network for Room Layout Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8616-8625} }

MonoDTR: Monocular 3D Object Detection With Depth-Aware Transformer

Kuan-Chih Huang,

Tsung-Han Wu,

Hung-Ting Su,

Winston H. Hsu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Kuan-Chih and Wu, Tsung-Han and Su, Hung-Ting and Hsu, Winston H.}, title = {MonoDTR: Monocular 3D Object Detection With Depth-Aware Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4012-4021} }

Learning Graph Regularisation for Guided Super-Resolution

Riccardo de Lutio,

Alexander Becker,

Stefano D'Aronco,

Stefania Russo,

Jan D. Wegner,

Konrad Schindler

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{de_Lutio_2022_CVPR, author = {de Lutio, Riccardo and Becker, Alexander and D'Aronco, Stefano and Russo, Stefania and Wegner, Jan D. and Schindler, Konrad}, title = {Learning Graph Regularisation for Guided Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1979-1988} }

Instance-Wise Occlusion and Depth Orders in Natural Scenes

Hyunmin Lee,

Jaesik Park

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Hyunmin and Park, Jaesik}, title = {Instance-Wise Occlusion and Depth Orders in Natural Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21210-21221} }

Look for the Change: Learning Object States and State-Modifying Actions From Untrimmed Web Videos

Tomáš Souček,

Jean-Baptiste Alayrac,

Antoine Miech,

Ivan Laptev,

Josef Sivic

[pdf] [supp]

[bibtex]

@InProceedings{Soucek_2022_CVPR, author = {Sou\v{c}ek, Tom\'a\v{s} and Alayrac, Jean-Baptiste and Miech, Antoine and Laptev, Ivan and Sivic, Josef}, title = {Look for the Change: Learning Object States and State-Modifying Actions From Untrimmed Web Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13956-13966} }

Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-Shot Learning

Yangji He,

Weihan Liang,

Dongyang Zhao,

Hong-Yu Zhou,

Weifeng Ge,

Yizhou Yu,

Wenqiang Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Yangji and Liang, Weihan and Zhao, Dongyang and Zhou, Hong-Yu and Ge, Weifeng and Yu, Yizhou and Zhang, Wenqiang}, title = {Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9119-9129} }

Generalized Category Discovery

Sagar Vaze,

Kai Han,

Andrea Vedaldi,

Andrew Zisserman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Vaze_2022_CVPR, author = {Vaze, Sagar and Han, Kai and Vedaldi, Andrea and Zisserman, Andrew}, title = {Generalized Category Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7492-7501} }

Maximum Consensus by Weighted Influences of Monotone Boolean Functions

Erchuan Zhang,

David Suter,

Ruwan Tennakoon,

Tat-Jun Chin,

Alireza Bab-Hadiashar,

Giang Truong,

Syed Zulqarnain Gilani

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Erchuan and Suter, David and Tennakoon, Ruwan and Chin, Tat-Jun and Bab-Hadiashar, Alireza and Truong, Giang and Gilani, Syed Zulqarnain}, title = {Maximum Consensus by Weighted Influences of Monotone Boolean Functions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8964-8972} }

TransforMatcher: Match-to-Match Attention for Semantic Correspondence

Seungwook Kim,

Juhong Min,

Minsu Cho

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Seungwook and Min, Juhong and Cho, Minsu}, title = {TransforMatcher: Match-to-Match Attention for Semantic Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8697-8707} }

Robust Outlier Detection by De-Biasing VAE Likelihoods

Kushal Chauhan,

Barath Mohan U,

Pradeep Shenoy,

Manish Gupta,

Devarajan Sridharan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chauhan_2022_CVPR, author = {Chauhan, Kushal and U, Barath Mohan and Shenoy, Pradeep and Gupta, Manish and Sridharan, Devarajan}, title = {Robust Outlier Detection by De-Biasing VAE Likelihoods}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9881-9890} }

Contour-Hugging Heatmaps for Landmark Detection

James McCouat,

Irina Voiculescu

[pdf] [supp]

[bibtex]

@InProceedings{McCouat_2022_CVPR, author = {McCouat, James and Voiculescu, Irina}, title = {Contour-Hugging Heatmaps for Landmark Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20597-20605} }

Voxel Field Fusion for 3D Object Detection

Yanwei Li,

Xiaojuan Qi,

Yukang Chen,

Liwei Wang,

Zeming Li,

Jian Sun,

Jiaya Jia

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yanwei and Qi, Xiaojuan and Chen, Yukang and Wang, Liwei and Li, Zeming and Sun, Jian and Jia, Jiaya}, title = {Voxel Field Fusion for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1120-1129} }

Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery

Muli Yang,

Yuehua Zhu,

Jiaping Yu,

Aming Wu,

Cheng Deng

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Muli and Zhu, Yuehua and Yu, Jiaping and Wu, Aming and Deng, Cheng}, title = {Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14268-14277} }

Programmatic Concept Learning for Human Motion Description and Synthesis

Sumith Kulal,

Jiayuan Mao,

Alex Aiken,

Jiajun Wu

[pdf] [supp]

[bibtex]

@InProceedings{Kulal_2022_CVPR, author = {Kulal, Sumith and Mao, Jiayuan and Aiken, Alex and Wu, Jiajun}, title = {Programmatic Concept Learning for Human Motion Description and Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13843-13852} }

Interpretable Part-Whole Hierarchies and Conceptual-Semantic Relationships in Neural Networks

Nicola Garau,

Niccolò Bisagno,

Zeno Sambugaro,

Nicola Conci

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Garau_2022_CVPR, author = {Garau, Nicola and Bisagno, Niccol\`o and Sambugaro, Zeno and Conci, Nicola}, title = {Interpretable Part-Whole Hierarchies and Conceptual-Semantic Relationships in Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13689-13698} }

Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space

Ryuki Yamamoto,

Hidekata Hontani,

Akira Imakura,

Tatsuya Yokota

[pdf]

[bibtex]

@InProceedings{Yamamoto_2022_CVPR, author = {Yamamoto, Ryuki and Hontani, Hidekata and Imakura, Akira and Yokota, Tatsuya}, title = {Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2058-2066} }

Panoptic, Instance and Semantic Relations: A Relational Context Encoder To Enhance Panoptic Segmentation

Shubhankar Borse,

Hyojin Park,

Hong Cai,

Debasmit Das,

Risheek Garrepalli,

Fatih Porikli

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Borse_2022_CVPR, author = {Borse, Shubhankar and Park, Hyojin and Cai, Hong and Das, Debasmit and Garrepalli, Risheek and Porikli, Fatih}, title = {Panoptic, Instance and Semantic Relations: A Relational Context Encoder To Enhance Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1269-1279} }

Point2Seq: Detecting 3D Objects As Sequences

Yujing Xue,

Jiageng Mao,

Minzhe Niu,

Hang Xu,

Michael Bi Mi,

Wei Zhang,

Xiaogang Wang,

Xinchao Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xue_2022_CVPR, author = {Xue, Yujing and Mao, Jiageng and Niu, Minzhe and Xu, Hang and Mi, Michael Bi and Zhang, Wei and Wang, Xiaogang and Wang, Xinchao}, title = {Point2Seq: Detecting 3D Objects As Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8521-8530} }

Less Is More: Generating Grounded Navigation Instructions From Landmarks

Su Wang,

Ceslee Montgomery,

Jordi Orbay,

Vighnesh Birodkar,

Aleksandra Faust,

Izzeddin Gur,

Natasha Jaques,

Austin Waters,

Jason Baldridge,

Peter Anderson

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Su and Montgomery, Ceslee and Orbay, Jordi and Birodkar, Vighnesh and Faust, Aleksandra and Gur, Izzeddin and Jaques, Natasha and Waters, Austin and Baldridge, Jason and Anderson, Peter}, title = {Less Is More: Generating Grounded Navigation Instructions From Landmarks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15428-15438} }

Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition

Shiyuan Huang,

Jiawei Ma,

Guangxing Han,

Shih-Fu Chang

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Shiyuan and Ma, Jiawei and Han, Guangxing and Chang, Shih-Fu}, title = {Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7171-7180} }

DisARM: Displacement Aware Relation Module for 3D Detection

Yao Duan,

Chenyang Zhu,

Yuqing Lan,

Renjiao Yi,

Xinwang Liu,

Kai Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Duan_2022_CVPR, author = {Duan, Yao and Zhu, Chenyang and Lan, Yuqing and Yi, Renjiao and Liu, Xinwang and Xu, Kai}, title = {DisARM: Displacement Aware Relation Module for 3D Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16980-16989} }

ETHSeg: An Amodel Instance Segmentation Network and a Real-World Dataset for X-Ray Waste Inspection

Lingteng Qiu,

Zhangyang Xiong,

Xuhao Wang,

Kenkun Liu,

Yihan Li,

Guanying Chen,

Xiaoguang Han,

Shuguang Cui

[pdf] [supp]

[bibtex]

@InProceedings{Qiu_2022_CVPR, author = {Qiu, Lingteng and Xiong, Zhangyang and Wang, Xuhao and Liu, Kenkun and Li, Yihan and Chen, Guanying and Han, Xiaoguang and Cui, Shuguang}, title = {ETHSeg: An Amodel Instance Segmentation Network and a Real-World Dataset for X-Ray Waste Inspection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2283-2292} }

MixFormer: Mixing Features Across Windows and Dimensions

Qiang Chen,

Qiman Wu,

Jian Wang,

Qinghao Hu,

Tao Hu,

Errui Ding,

Jian Cheng,

Jingdong Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Qiang and Wu, Qiman and Wang, Jian and Hu, Qinghao and Hu, Tao and Ding, Errui and Cheng, Jian and Wang, Jingdong}, title = {MixFormer: Mixing Features Across Windows and Dimensions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5249-5259} }

Killing Two Birds With One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC

Xiang An,

Jiankang Deng,

Jia Guo,

Ziyong Feng,

XuHan Zhu,

Jing Yang,

Tongliang Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{An_2022_CVPR, author = {An, Xiang and Deng, Jiankang and Guo, Jia and Feng, Ziyong and Zhu, XuHan and Yang, Jing and Liu, Tongliang}, title = {Killing Two Birds With One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4042-4051} }

NeRF-Editing: Geometry Editing of Neural Radiance Fields

Yu-Jie Yuan,

Yang-Tian Sun,

Yu-Kun Lai,

Yuewen Ma,

Rongfei Jia,

Lin Gao

[pdf] [supp]

[bibtex]

@InProceedings{Yuan_2022_CVPR, author = {Yuan, Yu-Jie and Sun, Yang-Tian and Lai, Yu-Kun and Ma, Yuewen and Jia, Rongfei and Gao, Lin}, title = {NeRF-Editing: Geometry Editing of Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18353-18364} }

Optimal Correction Cost for Object Detection Evaluation

Mayu Otani,

Riku Togashi,

Yuta Nakashima,

Esa Rahtu,

Janne Heikkilä,

Shin'ichi Satoh

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Otani_2022_CVPR, author = {Otani, Mayu and Togashi, Riku and Nakashima, Yuta and Rahtu, Esa and Heikkil\"a, Janne and Satoh, Shin'ichi}, title = {Optimal Correction Cost for Object Detection Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21107-21115} }

Contextual Similarity Distillation for Asymmetric Image Retrieval

Hui Wu,

Min Wang,

Wengang Zhou,

Houqiang Li,

Qi Tian

[pdf]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Hui and Wang, Min and Zhou, Wengang and Li, Houqiang and Tian, Qi}, title = {Contextual Similarity Distillation for Asymmetric Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9489-9498} }

FineDiving: A Fine-Grained Dataset for Procedure-Aware Action Quality Assessment

Jinglin Xu,

Yongming Rao,

Xumin Yu,

Guangyi Chen,

Jie Zhou,

Jiwen Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Jinglin and Rao, Yongming and Yu, Xumin and Chen, Guangyi and Zhou, Jie and Lu, Jiwen}, title = {FineDiving: A Fine-Grained Dataset for Procedure-Aware Action Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2949-2958} }

Artistic Style Discovery With Independent Components

Xin Xie,

Yi Li,

Huaibo Huang,

Haiyan Fu,

Wanwan Wang,

Yanqing Guo

[pdf]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Xin and Li, Yi and Huang, Huaibo and Fu, Haiyan and Wang, Wanwan and Guo, Yanqing}, title = {Artistic Style Discovery With Independent Components}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19870-19879} }

HEAT: Holistic Edge Attention Transformer for Structured Reconstruction

Jiacheng Chen,

Yiming Qian,

Yasutaka Furukawa

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Jiacheng and Qian, Yiming and Furukawa, Yasutaka}, title = {HEAT: Holistic Edge Attention Transformer for Structured Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3866-3875} }

HyperStyle: StyleGAN Inversion With HyperNetworks for Real Image Editing

Yuval Alaluf,

Omer Tov,

Ron Mokady,

Rinon Gal,

Amit Bermano

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Alaluf_2022_CVPR, author = {Alaluf, Yuval and Tov, Omer and Mokady, Ron and Gal, Rinon and Bermano, Amit}, title = {HyperStyle: StyleGAN Inversion With HyperNetworks for Real Image Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18511-18521} }

DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning

Youngtaek Oh,

Dong-Jin Kim,

In So Kweon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Oh_2022_CVPR, author = {Oh, Youngtaek and Kim, Dong-Jin and Kweon, In So}, title = {DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9786-9796} }

Mobile-Former: Bridging MobileNet and Transformer

Yinpeng Chen,

Xiyang Dai,

Dongdong Chen,

Mengchen Liu,

Xiaoyi Dong,

Lu Yuan,

Zicheng Liu

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Yinpeng and Dai, Xiyang and Chen, Dongdong and Liu, Mengchen and Dong, Xiaoyi and Yuan, Lu and Liu, Zicheng}, title = {Mobile-Former: Bridging MobileNet and Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5270-5279} }

Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation

Andra Petrovai,

Sergiu Nedevschi

[pdf] [supp]

[bibtex]

@InProceedings{Petrovai_2022_CVPR, author = {Petrovai, Andra and Nedevschi, Sergiu}, title = {Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1578-1588} }

DESTR: Object Detection With Split Transformer

Liqiang He,

Sinisa Todorovic

[pdf] [supp]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Liqiang and Todorovic, Sinisa}, title = {DESTR: Object Detection With Split Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9377-9386} }

LTP: Lane-Based Trajectory Prediction for Autonomous Driving

Jingke Wang,

Tengju Ye,

Ziqing Gu,

Junbo Chen

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jingke and Ye, Tengju and Gu, Ziqing and Chen, Junbo}, title = {LTP: Lane-Based Trajectory Prediction for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17134-17142} }

CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision

Ke Zhang,

Xiahai Zhuang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Ke and Zhuang, Xiahai}, title = {CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11656-11665} }

VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution

Zeyuan Chen,

Yinbo Chen,

Jingwen Liu,

Xingqian Xu,

Vidit Goel,

Zhangyang Wang,

Humphrey Shi,

Xiaolong Wang

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Zeyuan and Chen, Yinbo and Liu, Jingwen and Xu, Xingqian and Goel, Vidit and Wang, Zhangyang and Shi, Humphrey and Wang, Xiaolong}, title = {VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2047-2057} }

Towards End-to-End Unified Scene Text Detection and Layout Analysis

Shangbang Long,

Siyang Qin,

Dmitry Panteleev,

Alessandro Bissacco,

Yasuhisa Fujii,

Michalis Raptis

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Long_2022_CVPR, author = {Long, Shangbang and Qin, Siyang and Panteleev, Dmitry and Bissacco, Alessandro and Fujii, Yasuhisa and Raptis, Michalis}, title = {Towards End-to-End Unified Scene Text Detection and Layout Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1049-1059} }

Image Based Reconstruction of Liquids From 2D Surface Detections

Florian Richter,

Ryan K. Orosco,

Michael C. Yip

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Richter_2022_CVPR, author = {Richter, Florian and Orosco, Ryan K. and Yip, Michael C.}, title = {Image Based Reconstruction of Liquids From 2D Surface Detections}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13811-13820} }

Contextual Outpainting With Object-Level Contrastive Learning

Jiacheng Li,

Chang Chen,

Zhiwei Xiong

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jiacheng and Chen, Chang and Xiong, Zhiwei}, title = {Contextual Outpainting With Object-Level Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11451-11460} }

AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network

Wooseok Lee,

Sanghyun Son,

Kyoung Mu Lee

[pdf] [supp]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Wooseok and Son, Sanghyun and Lee, Kyoung Mu}, title = {AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17725-17734} }

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation

Paritosh Mittal,

Yen-Chi Cheng,

Maneesh Singh,

Shubham Tulsiani

[pdf] [arXiv]

[bibtex]

@InProceedings{Mittal_2022_CVPR, author = {Mittal, Paritosh and Cheng, Yen-Chi and Singh, Maneesh and Tulsiani, Shubham}, title = {AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {306-315} }

ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior

Metin Ersin Arican,

Ozgur Kara,

Gustav Bredell,

Ender Konukoglu

[pdf] [supp]

[bibtex]

@InProceedings{Arican_2022_CVPR, author = {Arican, Metin Ersin and Kara, Ozgur and Bredell, Gustav and Konukoglu, Ender}, title = {ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1960-1968} }

Depth-Guided Sparse Structure-From-Motion for Movies and TV Shows

Sheng Liu,

Xiaohan Nie,

Raffay Hamid

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Sheng and Nie, Xiaohan and Hamid, Raffay}, title = {Depth-Guided Sparse Structure-From-Motion for Movies and TV Shows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15980-15989} }

End-to-End Referring Video Object Segmentation With Multimodal Transformers

Adam Botach,

Evgenii Zheltonozhskii,

Chaim Baskin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Botach_2022_CVPR, author = {Botach, Adam and Zheltonozhskii, Evgenii and Baskin, Chaim}, title = {End-to-End Referring Video Object Segmentation With Multimodal Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4985-4995} }

Unpaired Cartoon Image Synthesis via Gated Cycle Mapping

Yifang Men,

Yuan Yao,

Miaomiao Cui,

Zhouhui Lian,

Xuansong Xie,

Xian-Sheng Hua

[pdf] [supp]

[bibtex]

@InProceedings{Men_2022_CVPR, author = {Men, Yifang and Yao, Yuan and Cui, Miaomiao and Lian, Zhouhui and Xie, Xuansong and Hua, Xian-Sheng}, title = {Unpaired Cartoon Image Synthesis via Gated Cycle Mapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3501-3510} }

IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo

Fangjinhua Wang,

Silvano Galliani,

Christoph Vogel,

Marc Pollefeys

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Fangjinhua and Galliani, Silvano and Vogel, Christoph and Pollefeys, Marc}, title = {IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8606-8615} }

Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds

Yifan Zhang,

Qingyong Hu,

Guoquan Xu,

Yanxin Ma,

Jianwei Wan,

Yulan Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yifan and Hu, Qingyong and Xu, Guoquan and Ma, Yanxin and Wan, Jianwei and Guo, Yulan}, title = {Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18953-18962} }

FedCorr: Multi-Stage Federated Learning for Label Noise Correction

Jingyi Xu,

Zihan Chen,

Tony Q.S. Quek,

Kai Fong Ernest Chong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Jingyi and Chen, Zihan and Quek, Tony Q.S. and Chong, Kai Fong Ernest}, title = {FedCorr: Multi-Stage Federated Learning for Label Noise Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10184-10193} }

Detecting Camouflaged Object in Frequency Domain

Yijie Zhong,

Bo Li,

Lv Tang,

Senyun Kuang,

Shuang Wu,

Shouhong Ding

[pdf] [supp]

[bibtex]

@InProceedings{Zhong_2022_CVPR, author = {Zhong, Yijie and Li, Bo and Tang, Lv and Kuang, Senyun and Wu, Shuang and Ding, Shouhong}, title = {Detecting Camouflaged Object in Frequency Domain}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4504-4513} }

RigNeRF: Fully Controllable Neural 3D Portraits

ShahRukh Athar,

Zexiang Xu,

Kalyan Sunkavalli,

Eli Shechtman,

Zhixin Shu

[pdf]

[bibtex]

@InProceedings{Athar_2022_CVPR, author = {Athar, ShahRukh and Xu, Zexiang and Sunkavalli, Kalyan and Shechtman, Eli and Shu, Zhixin}, title = {RigNeRF: Fully Controllable Neural 3D Portraits}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20364-20373} }

CLIP-Forge: Towards Zero-Shot Text-To-Shape Generation

Aditya Sanghi,

Hang Chu,

Joseph G. Lambourne,

Ye Wang,

Chin-Yi Cheng,

Marco Fumero,

Kamal Rahimi Malekshan

[pdf] [supp]

[bibtex]

@InProceedings{Sanghi_2022_CVPR, author = {Sanghi, Aditya and Chu, Hang and Lambourne, Joseph G. and Wang, Ye and Cheng, Chin-Yi and Fumero, Marco and Malekshan, Kamal Rahimi}, title = {CLIP-Forge: Towards Zero-Shot Text-To-Shape Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18603-18613} }

Style-Based Global Appearance Flow for Virtual Try-On

Sen He,

Yi-Zhe Song,

Tao Xiang

[pdf] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Sen and Song, Yi-Zhe and Xiang, Tao}, title = {Style-Based Global Appearance Flow for Virtual Try-On}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3470-3479} }

Source-Free Object Detection by Learning To Overlook Domain Style

Shuaifeng Li,

Mao Ye,

Xiatian Zhu,

Lihua Zhou,

Lin Xiong

[pdf]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Shuaifeng and Ye, Mao and Zhu, Xiatian and Zhou, Lihua and Xiong, Lin}, title = {Source-Free Object Detection by Learning To Overlook Domain Style}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8014-8023} }

Active Learning for Open-Set Annotation

Kun-Peng Ning,

Xun Zhao,

Yu Li,

Sheng-Jun Huang

[pdf] [arXiv]

[bibtex]

@InProceedings{Ning_2022_CVPR, author = {Ning, Kun-Peng and Zhao, Xun and Li, Yu and Huang, Sheng-Jun}, title = {Active Learning for Open-Set Annotation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {41-49} }

SceneSqueezer: Learning To Compress Scene for Camera Relocalization

Luwei Yang,

Rakesh Shrestha,

Wenbo Li,

Shuaicheng Liu,

Guofeng Zhang,

Zhaopeng Cui,

Ping Tan

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Luwei and Shrestha, Rakesh and Li, Wenbo and Liu, Shuaicheng and Zhang, Guofeng and Cui, Zhaopeng and Tan, Ping}, title = {SceneSqueezer: Learning To Compress Scene for Camera Relocalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8259-8268} }

SelfRecon: Self Reconstruction Your Digital Avatar From Monocular Video

Boyi Jiang,

Yang Hong,

Hujun Bao,

Juyong Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Boyi and Hong, Yang and Bao, Hujun and Zhang, Juyong}, title = {SelfRecon: Self Reconstruction Your Digital Avatar From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5605-5615} }

Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation

De Cheng,

Tongliang Liu,

Yixiong Ning,

Nannan Wang,

Bo Han,

Gang Niu,

Xinbo Gao,

Masashi Sugiyama

[pdf]

[bibtex]

@InProceedings{Cheng_2022_CVPR, author = {Cheng, De and Liu, Tongliang and Ning, Yixiong and Wang, Nannan and Han, Bo and Niu, Gang and Gao, Xinbo and Sugiyama, Masashi}, title = {Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16630-16639} }

Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance With Expanded Views

Junbo Zhang,

Kaisheng Ma

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Junbo and Ma, Kaisheng}, title = {Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance With Expanded Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16650-16659} }

Self-Supervised Models Are Continual Learners

Enrico Fini,

Victor G. Turrisi da Costa,

Xavier Alameda-Pineda,

Elisa Ricci,

Karteek Alahari,

Julien Mairal

[pdf] [supp]

[bibtex]

@InProceedings{Fini_2022_CVPR, author = {Fini, Enrico and da Costa, Victor G. Turrisi and Alameda-Pineda, Xavier and Ricci, Elisa and Alahari, Karteek and Mairal, Julien}, title = {Self-Supervised Models Are Continual Learners}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9621-9630} }

Dreaming To Prune Image Deraining Networks

Weiqi Zou,

Yang Wang,

Xueyang Fu,

Yang Cao

[pdf] [supp]

[bibtex]

@InProceedings{Zou_2022_CVPR, author = {Zou, Weiqi and Wang, Yang and Fu, Xueyang and Cao, Yang}, title = {Dreaming To Prune Image Deraining Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6023-6032} }

Equivariant Point Cloud Analysis via Learning Orientations for Message Passing

Shitong Luo,

Jiahan Li,

Jiaqi Guan,

Yufeng Su,

Chaoran Cheng,

Jian Peng,

Jianzhu Ma

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Luo_2022_CVPR, author = {Luo, Shitong and Li, Jiahan and Guan, Jiaqi and Su, Yufeng and Cheng, Chaoran and Peng, Jian and Ma, Jianzhu}, title = {Equivariant Point Cloud Analysis via Learning Orientations for Message Passing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18932-18941} }

When Does Contrastive Visual Representation Learning Work?

Elijah Cole,

Xuan Yang,

Kimberly Wilber,

Oisin Mac Aodha,

Serge Belongie

[pdf] [arXiv]

[bibtex]

@InProceedings{Cole_2022_CVPR, author = {Cole, Elijah and Yang, Xuan and Wilber, Kimberly and Mac Aodha, Oisin and Belongie, Serge}, title = {When Does Contrastive Visual Representation Learning Work?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14755-14764} }

One Step at a Time: Long-Horizon Vision-and-Language Navigation With Milestones

Chan Hee Song,

Jihyung Kil,

Tai-Yu Pan,

Brian M. Sadler,

Wei-Lun Chao,

Yu Su

[pdf] [arXiv]

[bibtex]

@InProceedings{Song_2022_CVPR, author = {Song, Chan Hee and Kil, Jihyung and Pan, Tai-Yu and Sadler, Brian M. and Chao, Wei-Lun and Su, Yu}, title = {One Step at a Time: Long-Horizon Vision-and-Language Navigation With Milestones}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15482-15491} }

Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization

Wei Dong,

Junsheng Wu,

Yi Luo,

Zongyuan Ge,

Peng Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Wei and Wu, Junsheng and Luo, Yi and Ge, Zongyuan and Wang, Peng}, title = {Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16620-16629} }

Point Cloud Pre-Training With Natural 3D Structures

Ryosuke Yamada,

Hirokatsu Kataoka,

Naoya Chiba,

Yukiyasu Domae,

Tetsuya Ogata

[pdf] [supp]

[bibtex]

@InProceedings{Yamada_2022_CVPR, author = {Yamada, Ryosuke and Kataoka, Hirokatsu and Chiba, Naoya and Domae, Yukiyasu and Ogata, Tetsuya}, title = {Point Cloud Pre-Training With Natural 3D Structures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21283-21293} }

Scene Consistency Representation Learning for Video Scene Segmentation

Haoqian Wu,

Keyu Chen,

Yanan Luo,

Ruizhi Qiao,

Bo Ren,

Haozhe Liu,

Weicheng Xie,

Linlin Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Haoqian and Chen, Keyu and Luo, Yanan and Qiao, Ruizhi and Ren, Bo and Liu, Haozhe and Xie, Weicheng and Shen, Linlin}, title = {Scene Consistency Representation Learning for Video Scene Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14021-14030} }

Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart

Tianyu Pang,

Huishuai Zhang,

Di He,

Yinpeng Dong,

Hang Su,

Wei Chen,

Jun Zhu,

Tie-Yan Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pang_2022_CVPR, author = {Pang, Tianyu and Zhang, Huishuai and He, Di and Dong, Yinpeng and Su, Hang and Chen, Wei and Zhu, Jun and Liu, Tie-Yan}, title = {Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15223-15233} }

Exploiting Explainable Metrics for Augmented SGD

Mahdi S. Hosseini,

Mathieu Tuli,

Konstantinos N. Plataniotis

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hosseini_2022_CVPR, author = {Hosseini, Mahdi S. and Tuli, Mathieu and Plataniotis, Konstantinos N.}, title = {Exploiting Explainable Metrics for Augmented SGD}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10296-10306} }

Semi-Supervised Video Semantic Segmentation With Inter-Frame Feature Reconstruction

Jiafan Zhuang,

Zilei Wang,

Yuan Gao

[pdf]

[bibtex]

@InProceedings{Zhuang_2022_CVPR, author = {Zhuang, Jiafan and Wang, Zilei and Gao, Yuan}, title = {Semi-Supervised Video Semantic Segmentation With Inter-Frame Feature Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3263-3271} }

GenDR: A Generalized Differentiable Renderer

Felix Petersen,

Bastian Goldluecke,

Christian Borgelt,

Oliver Deussen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Petersen_2022_CVPR, author = {Petersen, Felix and Goldluecke, Bastian and Borgelt, Christian and Deussen, Oliver}, title = {GenDR: A Generalized Differentiable Renderer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4002-4011} }

Improving Neural Implicit Surfaces Geometry With Patch Warping

François Darmon,

Bénédicte Bascle,

Jean-Clément Devaux,

Pascal Monasse,

Mathieu Aubry

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Darmon_2022_CVPR, author = {Darmon, Fran\c{c}ois and Bascle, B\'en\'edicte and Devaux, Jean-Cl\'ement and Monasse, Pascal and Aubry, Mathieu}, title = {Improving Neural Implicit Surfaces Geometry With Patch Warping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6260-6269} }

XYLayoutLM: Towards Layout-Aware Multimodal Networks for Visually-Rich Document Understanding

Zhangxuan Gu,

Changhua Meng,

Ke Wang,

Jun Lan,

Weiqiang Wang,

Ming Gu,

Liqing Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gu_2022_CVPR, author = {Gu, Zhangxuan and Meng, Changhua and Wang, Ke and Lan, Jun and Wang, Weiqiang and Gu, Ming and Zhang, Liqing}, title = {XYLayoutLM: Towards Layout-Aware Multimodal Networks for Visually-Rich Document Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4583-4592} }

Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model

Yihong Sun,

Adam Kortylewski,

Alan Yuille

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Yihong and Kortylewski, Adam and Yuille, Alan}, title = {Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1215-1224} }

How Well Do Sparse ImageNet Models Transfer?

Eugenia Iofinova,

Alexandra Peste,

Mark Kurtz,

Dan Alistarh

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Iofinova_2022_CVPR, author = {Iofinova, Eugenia and Peste, Alexandra and Kurtz, Mark and Alistarh, Dan}, title = {How Well Do Sparse ImageNet Models Transfer?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12266-12276} }

REX: Reasoning-Aware and Grounded Explanation

Shi Chen,

Qi Zhao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Shi and Zhao, Qi}, title = {REX: Reasoning-Aware and Grounded Explanation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15586-15595} }

Dynamic Dual-Output Diffusion Models

Yaniv Benny,

Lior Wolf

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Benny_2022_CVPR, author = {Benny, Yaniv and Wolf, Lior}, title = {Dynamic Dual-Output Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11482-11491} }

StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis

Zhiheng Li,

Martin Renqiang Min,

Kai Li,

Chenliang Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Zhiheng and Min, Martin Renqiang and Li, Kai and Xu, Chenliang}, title = {StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18197-18207} }

JoinABLe: Learning Bottom-Up Assembly of Parametric CAD Joints

Karl D.D. Willis,

Pradeep Kumar Jayaraman,

Hang Chu,

Yunsheng Tian,

Yifei Li,

Daniele Grandi,

Aditya Sanghi,

Linh Tran,

Joseph G. Lambourne,

Armando Solar-Lezama,

Wojciech Matusik

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Willis_2022_CVPR, author = {Willis, Karl D.D. and Jayaraman, Pradeep Kumar and Chu, Hang and Tian, Yunsheng and Li, Yifei and Grandi, Daniele and Sanghi, Aditya and Tran, Linh and Lambourne, Joseph G. and Solar-Lezama, Armando and Matusik, Wojciech}, title = {JoinABLe: Learning Bottom-Up Assembly of Parametric CAD Joints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15849-15860} }

CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism

Jiahui Lei,

Kostas Daniilidis

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lei_2022_CVPR, author = {Lei, Jiahui and Daniilidis, Kostas}, title = {CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6624-6634} }

Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes

Yang You,

Zelin Ye,

Yujing Lou,

Chengkun Li,

Yong-Lu Li,

Lizhuang Ma,

Weiming Wang,

Cewu Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{You_2022_CVPR, author = {You, Yang and Ye, Zelin and Lou, Yujing and Li, Chengkun and Li, Yong-Lu and Ma, Lizhuang and Wang, Weiming and Lu, Cewu}, title = {Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1193-1202} }

V-Doc: Visual Questions Answers With Documents

Yihao Ding,

Zhe Huang,

Runlin Wang,

YanHang Zhang,

Xianru Chen,

Yuzhong Ma,

Hyunsuk Chung,

Soyeon Caren Han

[pdf]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Yihao and Huang, Zhe and Wang, Runlin and Zhang, YanHang and Chen, Xianru and Ma, Yuzhong and Chung, Hyunsuk and Han, Soyeon Caren}, title = {V-Doc: Visual Questions Answers With Documents}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21492-21498} }

AEGNN: Asynchronous Event-Based Graph Neural Networks

Simon Schaefer,

Daniel Gehrig,

Davide Scaramuzza

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Schaefer_2022_CVPR, author = {Schaefer, Simon and Gehrig, Daniel and Scaramuzza, Davide}, title = {AEGNN: Asynchronous Event-Based Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12371-12381} }

Layer-Wised Model Aggregation for Personalized Federated Learning

Xiaosong Ma,

Jie Zhang,

Song Guo,

Wenchao Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Xiaosong and Zhang, Jie and Guo, Song and Xu, Wenchao}, title = {Layer-Wised Model Aggregation for Personalized Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10092-10101} }

Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values

Ahmed Imtiaz Humayun,

Randall Balestriero,

Richard Baraniuk

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Humayun_2022_CVPR, author = {Humayun, Ahmed Imtiaz and Balestriero, Randall and Baraniuk, Richard}, title = {Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10641-10650} }

Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization

Yuan-kui Li,

Yun-Hsuan Lien,

Yu-Shuen Wang

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yuan-kui and Lien, Yun-Hsuan and Wang, Yu-Shuen}, title = {Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11244-11253} }

Object-Aware Video-Language Pre-Training for Retrieval

Jinpeng Wang,

Yixiao Ge,

Guanyu Cai,

Rui Yan,

Xudong Lin,

Ying Shan,

Xiaohu Qie,

Mike Zheng Shou

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jinpeng and Ge, Yixiao and Cai, Guanyu and Yan, Rui and Lin, Xudong and Shan, Ying and Qie, Xiaohu and Shou, Mike Zheng}, title = {Object-Aware Video-Language Pre-Training for Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3313-3322} }

OSKDet: Orientation-Sensitive Keypoint Localization for Rotated Object Detection

Dongchen Lu,

Dongmei Li,

Yali Li,

Shengjin Wang

[pdf]

[bibtex]

@InProceedings{Lu_2022_CVPR, author = {Lu, Dongchen and Li, Dongmei and Li, Yali and Wang, Shengjin}, title = {OSKDet: Orientation-Sensitive Keypoint Localization for Rotated Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1182-1192} }

MAT: Mask-Aware Transformer for Large Hole Image Inpainting

Wenbo Li,

Zhe Lin,

Kun Zhou,

Lu Qi,

Yi Wang,

Jiaya Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Wenbo and Lin, Zhe and Zhou, Kun and Qi, Lu and Wang, Yi and Jia, Jiaya}, title = {MAT: Mask-Aware Transformer for Large Hole Image Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10758-10768} }

Exploring Geometric Consistency for Monocular 3D Object Detection

Qing Lian,

Botao Ye,

Ruijia Xu,

Weilong Yao,

Tong Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lian_2022_CVPR, author = {Lian, Qing and Ye, Botao and Xu, Ruijia and Yao, Weilong and Zhang, Tong}, title = {Exploring Geometric Consistency for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1685-1694} }

Neural Window Fully-Connected CRFs for Monocular Depth Estimation

Weihao Yuan,

Xiaodong Gu,

Zuozhuo Dai,

Siyu Zhu,

Ping Tan

[pdf] [arXiv]

[bibtex]

@InProceedings{Yuan_2022_CVPR, author = {Yuan, Weihao and Gu, Xiaodong and Dai, Zuozhuo and Zhu, Siyu and Tan, Ping}, title = {Neural Window Fully-Connected CRFs for Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3916-3925} }

CodedVTR: Codebook-Based Sparse Voxel Transformer With Geometric Guidance

Tianchen Zhao,

Niansong Zhang,

Xuefei Ning,

He Wang,

Li Yi,

Yu Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Tianchen and Zhang, Niansong and Ning, Xuefei and Wang, He and Yi, Li and Wang, Yu}, title = {CodedVTR: Codebook-Based Sparse Voxel Transformer With Geometric Guidance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1435-1444} }

Uncertainty-Aware Deep Multi-View Photometric Stereo

Berk Kaya,

Suryansh Kumar,

Carlos Oliveira,

Vittorio Ferrari,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kaya_2022_CVPR, author = {Kaya, Berk and Kumar, Suryansh and Oliveira, Carlos and Ferrari, Vittorio and Van Gool, Luc}, title = {Uncertainty-Aware Deep Multi-View Photometric Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12601-12611} }

Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration

Aoxiang Fan,

Jiayi Ma,

Xin Tian,

Xiaoguang Mei,

Wei Liu

[pdf]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Aoxiang and Ma, Jiayi and Tian, Xin and Mei, Xiaoguang and Liu, Wei}, title = {Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1424-1434} }

Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification

Zizheng Yang,

Xin Jin,

Kecheng Zheng,

Feng Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Zizheng and Jin, Xin and Zheng, Kecheng and Zhao, Feng}, title = {Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14298-14307} }

Align and Prompt: Video-and-Language Pre-Training With Entity Prompts

Dongxu Li,

Junnan Li,

Hongdong Li,

Juan Carlos Niebles,

Steven C.H. Hoi

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Dongxu and Li, Junnan and Li, Hongdong and Niebles, Juan Carlos and Hoi, Steven C.H.}, title = {Align and Prompt: Video-and-Language Pre-Training With Entity Prompts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4953-4963} }

A Unified Query-Based Paradigm for Point Cloud Understanding

Zetong Yang,

Li Jiang,

Yanan Sun,

Bernt Schiele,

Jiaya Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Zetong and Jiang, Li and Sun, Yanan and Schiele, Bernt and Jia, Jiaya}, title = {A Unified Query-Based Paradigm for Point Cloud Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8541-8551} }

It's About Time: Analog Clock Reading in the Wild

Charig Yang,

Weidi Xie,

Andrew Zisserman

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Charig and Xie, Weidi and Zisserman, Andrew}, title = {It's About Time: Analog Clock Reading in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2508-2517} }

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens

Jiemin Fang,

Lingxi Xie,

Xinggang Wang,

Xiaopeng Zhang,

Wenyu Liu,

Qi Tian

[pdf] [supp]

[bibtex]

@InProceedings{Fang_2022_CVPR, author = {Fang, Jiemin and Xie, Lingxi and Wang, Xinggang and Zhang, Xiaopeng and Liu, Wenyu and Tian, Qi}, title = {MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12063-12072} }

Cross Modal Retrieval With Querybank Normalisation

Simion-Vlad Bogolin,

Ioana Croitoru,

Hailin Jin,

Yang Liu,

Samuel Albanie

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bogolin_2022_CVPR, author = {Bogolin, Simion-Vlad and Croitoru, Ioana and Jin, Hailin and Liu, Yang and Albanie, Samuel}, title = {Cross Modal Retrieval With Querybank Normalisation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5194-5205} }

Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning

Jian Meng,

Li Yang,

Jinwoo Shin,

Deliang Fan,

Jae-sun Seo

[pdf]

[bibtex]

@InProceedings{Meng_2022_CVPR, author = {Meng, Jian and Yang, Li and Shin, Jinwoo and Fan, Deliang and Seo, Jae-sun}, title = {Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12257-12265} }

Universal Photometric Stereo Network Using Global Lighting Contexts

Satoshi Ikehata

[pdf] [supp]

[bibtex]

@InProceedings{Ikehata_2022_CVPR, author = {Ikehata, Satoshi}, title = {Universal Photometric Stereo Network Using Global Lighting Contexts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12591-12600} }

Hire-MLP: Vision MLP via Hierarchical Rearrangement

Jianyuan Guo,

Yehui Tang,

Kai Han,

Xinghao Chen,

Han Wu,

Chao Xu,

Chang Xu,

Yunhe Wang

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Jianyuan and Tang, Yehui and Han, Kai and Chen, Xinghao and Wu, Han and Xu, Chao and Xu, Chang and Wang, Yunhe}, title = {Hire-MLP: Vision MLP via Hierarchical Rearrangement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {826-836} }

Ray3D: Ray-Based 3D Human Pose Estimation for Monocular Absolute 3D Localization

Yu Zhan,

Fenghai Li,

Renliang Weng,

Wongun Choi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhan_2022_CVPR, author = {Zhan, Yu and Li, Fenghai and Weng, Renliang and Choi, Wongun}, title = {Ray3D: Ray-Based 3D Human Pose Estimation for Monocular Absolute 3D Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13116-13125} }

Occluded Human Mesh Recovery

Rawal Khirodkar,

Shashank Tripathi,

Kris Kitani

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Khirodkar_2022_CVPR, author = {Khirodkar, Rawal and Tripathi, Shashank and Kitani, Kris}, title = {Occluded Human Mesh Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1715-1725} }

Multi-Object Tracking Meets Moving UAV

Shuai Liu,

Xin Li,

Huchuan Lu,

You He

[pdf]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Shuai and Li, Xin and Lu, Huchuan and He, You}, title = {Multi-Object Tracking Meets Moving UAV}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8876-8885} }

ASM-Loc: Action-Aware Segment Modeling for Weakly-Supervised Temporal Action Localization

Bo He,

Xitong Yang,

Le Kang,

Zhiyu Cheng,

Xin Zhou,

Abhinav Shrivastava

[pdf] [supp]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Bo and Yang, Xitong and Kang, Le and Cheng, Zhiyu and Zhou, Xin and Shrivastava, Abhinav}, title = {ASM-Loc: Action-Aware Segment Modeling for Weakly-Supervised Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13925-13935} }

Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition

Hongji Guo,

Hanjing Wang,

Qiang Ji

[pdf]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Hongji and Wang, Hanjing and Ji, Qiang}, title = {Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20052-20061} }

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

Xiaohan Ding,

Xiangyu Zhang,

Jungong Han,

Guiguang Ding

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Xiaohan and Zhang, Xiangyu and Han, Jungong and Ding, Guiguang}, title = {Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11963-11975} }

End-to-End Multi-Person Pose Estimation With Transformers

Dahu Shi,

Xing Wei,

Liangqi Li,

Ye Ren,

Wenming Tan

[pdf]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Dahu and Wei, Xing and Li, Liangqi and Ren, Ye and Tan, Wenming}, title = {End-to-End Multi-Person Pose Estimation With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11069-11078} }

REGTR: End-to-End Point Cloud Correspondences With Transformers

Zi Jian Yew,

Gim Hee Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yew_2022_CVPR, author = {Yew, Zi Jian and Lee, Gim Hee}, title = {REGTR: End-to-End Point Cloud Correspondences With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6677-6686} }

Neural 3D Scene Reconstruction With the Manhattan-World Assumption

Haoyu Guo,

Sida Peng,

Haotong Lin,

Qianqian Wang,

Guofeng Zhang,

Hujun Bao,

Xiaowei Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Haoyu and Peng, Sida and Lin, Haotong and Wang, Qianqian and Zhang, Guofeng and Bao, Hujun and Zhou, Xiaowei}, title = {Neural 3D Scene Reconstruction With the Manhattan-World Assumption}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5511-5520} }

V2C: Visual Voice Cloning

Qi Chen,

Mingkui Tan,

Yuankai Qi,

Jiaqiu Zhou,

Yuanqing Li,

Qi Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Qi and Tan, Mingkui and Qi, Yuankai and Zhou, Jiaqiu and Li, Yuanqing and Wu, Qi}, title = {V2C: Visual Voice Cloning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21242-21251} }

Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection

Dongli Xu,

Jinhong Deng,

Wen Li

[pdf] [supp]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Dongli and Deng, Jinhong and Li, Wen}, title = {Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14187-14196} }

3DeformRS: Certifying Spatial Deformations on Point Clouds

Gabriel Pérez S.,

Juan C. Pérez,

Motasem Alfarra,

Silvio Giancola,

Bernard Ghanem

[pdf] [supp]

[bibtex]

@InProceedings{S._2022_CVPR, author = {S., Gabriel P\'erez and P\'erez, Juan C. and Alfarra, Motasem and Giancola, Silvio and Ghanem, Bernard}, title = {3DeformRS: Certifying Spatial Deformations on Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15169-15179} }

ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses

Bastian Wandt,

James J. Little,

Helge Rhodin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wandt_2022_CVPR, author = {Wandt, Bastian and Little, James J. and Rhodin, Helge}, title = {ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6635-6645} }

MAD: A Scalable Dataset for Language Grounding in Videos From Movie Audio Descriptions

Mattia Soldan,

Alejandro Pardo,

Juan León Alcázar,

Fabian Caba,

Chen Zhao,

Silvio Giancola,

Bernard Ghanem

[pdf] [supp]

[bibtex]

@InProceedings{Soldan_2022_CVPR, author = {Soldan, Mattia and Pardo, Alejandro and Alc\'azar, Juan Le\'on and Caba, Fabian and Zhao, Chen and Giancola, Silvio and Ghanem, Bernard}, title = {MAD: A Scalable Dataset for Language Grounding in Videos From Movie Audio Descriptions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5026-5035} }

EvUnroll: Neuromorphic Events Based Rolling Shutter Image Correction

Xinyu Zhou,

Peiqi Duan,

Yi Ma,

Boxin Shi

[pdf] [supp]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Xinyu and Duan, Peiqi and Ma, Yi and Shi, Boxin}, title = {EvUnroll: Neuromorphic Events Based Rolling Shutter Image Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17775-17784} }

Gait Recognition in the Wild With Dense 3D Representations and a Benchmark

Jinkai Zheng,

Xinchen Liu,

Wu Liu,

Lingxiao He,

Chenggang Yan,

Tao Mei

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Jinkai and Liu, Xinchen and Liu, Wu and He, Lingxiao and Yan, Chenggang and Mei, Tao}, title = {Gait Recognition in the Wild With Dense 3D Representations and a Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20228-20237} }

ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis

Lixin Yang,

Kailin Li,

Xinyu Zhan,

Jun Lv,

Wenqiang Xu,

Jiefeng Li,

Cewu Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Lixin and Li, Kailin and Zhan, Xinyu and Lv, Jun and Xu, Wenqiang and Li, Jiefeng and Lu, Cewu}, title = {ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2750-2760} }

Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations

Aishik Konwer,

Xuan Xu,

Joseph Bae,

Chao Chen,

Prateek Prasanna

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Konwer_2022_CVPR, author = {Konwer, Aishik and Xu, Xuan and Bae, Joseph and Chen, Chao and Prasanna, Prateek}, title = {Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18824-18835} }

QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection

Chenhongyi Yang,

Zehao Huang,

Naiyan Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Chenhongyi and Huang, Zehao and Wang, Naiyan}, title = {QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13668-13677} }

IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment

Yiming Zeng,

Yue Qian,

Qijian Zhang,

Junhui Hou,

Yixuan Yuan,

Ying He

[pdf] [supp]

[bibtex]

@InProceedings{Zeng_2022_CVPR, author = {Zeng, Yiming and Qian, Yue and Zhang, Qijian and Hou, Junhui and Yuan, Yixuan and He, Ying}, title = {IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6338-6347} }

UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning

Nazmul Karim,

Mamshad Nayeem Rizve,

Nazanin Rahnavard,

Ajmal Mian,

Mubarak Shah

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Karim_2022_CVPR, author = {Karim, Nazmul and Rizve, Mamshad Nayeem and Rahnavard, Nazanin and Mian, Ajmal and Shah, Mubarak}, title = {UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9676-9686} }

Learning From All Vehicles

Dian Chen,

Philipp Krähenbühl

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Dian and Kr\"ahenb\"uhl, Philipp}, title = {Learning From All Vehicles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17222-17231} }

BEHAVE: Dataset and Method for Tracking Human Object Interactions

Bharat Lal Bhatnagar,

Xianghui Xie,

Ilya A. Petrov,

Cristian Sminchisescu,

Christian Theobalt,

Gerard Pons-Moll

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bhatnagar_2022_CVPR, author = {Bhatnagar, Bharat Lal and Xie, Xianghui and Petrov, Ilya A. and Sminchisescu, Cristian and Theobalt, Christian and Pons-Moll, Gerard}, title = {BEHAVE: Dataset and Method for Tracking Human Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15935-15946} }

Disentangled3D: Learning a 3D Generative Model With Disentangled Geometry and Appearance From Monocular Images

Ayush Tewari,

Mallikarjun B R,

Xingang Pan,

Ohad Fried,

Maneesh Agrawala,

Christian Theobalt

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tewari_2022_CVPR, author = {Tewari, Ayush and R, Mallikarjun B and Pan, Xingang and Fried, Ohad and Agrawala, Maneesh and Theobalt, Christian}, title = {Disentangled3D: Learning a 3D Generative Model With Disentangled Geometry and Appearance From Monocular Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1516-1525} }

Revisiting Random Channel Pruning for Neural Network Compression

Yawei Li,

Kamil Adamczewski,

Wen Li,

Shuhang Gu,

Radu Timofte,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yawei and Adamczewski, Kamil and Li, Wen and Gu, Shuhang and Timofte, Radu and Van Gool, Luc}, title = {Revisiting Random Channel Pruning for Neural Network Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {191-201} }

One-Bit Active Query With Contrastive Pairs

Yuhang Zhang,

Xiaopeng Zhang,

Lingxi Xie,

Jie Li,

Robert C. Qiu,

Hengtong Hu,

Qi Tian

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yuhang and Zhang, Xiaopeng and Xie, Lingxi and Li, Jie and Qiu, Robert C. and Hu, Hengtong and Tian, Qi}, title = {One-Bit Active Query With Contrastive Pairs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9697-9705} }

Estimating Egocentric 3D Human Pose in the Wild With External Weak Supervision

Jian Wang,

Lingjie Liu,

Weipeng Xu,

Kripasindhu Sarkar,

Diogo Luvizon,

Christian Theobalt

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jian and Liu, Lingjie and Xu, Weipeng and Sarkar, Kripasindhu and Luvizon, Diogo and Theobalt, Christian}, title = {Estimating Egocentric 3D Human Pose in the Wild With External Weak Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13157-13166} }

Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search

Pengtao Xie,

Xuefeng Du

[pdf]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Pengtao and Du, Xuefeng}, title = {Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11922-11932} }

Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and Method

Lai Jiang,

Yifei Li,

Shengxi Li,

Mai Xu,

Se Lei,

Yichen Guo,

Bo Huang

[pdf]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Lai and Li, Yifei and Li, Shengxi and Xu, Mai and Lei, Se and Guo, Yichen and Huang, Bo}, title = {Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and Method}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2088-2097} }

Topologically-Aware Deformation Fields for Single-View 3D Reconstruction

Shivam Duggal,

Deepak Pathak

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Duggal_2022_CVPR, author = {Duggal, Shivam and Pathak, Deepak}, title = {Topologically-Aware Deformation Fields for Single-View 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1536-1546} }

HyperInverter: Improving StyleGAN Inversion via Hypernetwork

Tan M. Dinh,

Anh Tuan Tran,

Rang Nguyen,

Binh-Son Hua

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dinh_2022_CVPR, author = {Dinh, Tan M. and Tran, Anh Tuan and Nguyen, Rang and Hua, Binh-Son}, title = {HyperInverter: Improving StyleGAN Inversion via Hypernetwork}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11389-11398} }

Sparse Non-Local CRF

Olga Veksler,

Yuri Boykov

[pdf] [supp]

[bibtex]

@InProceedings{Veksler_2022_CVPR, author = {Veksler, Olga and Boykov, Yuri}, title = {Sparse Non-Local CRF}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4493-4503} }

Dataset Distillation by Matching Training Trajectories

George Cazenavette,

Tongzhou Wang,

Antonio Torralba,

Alexei A. Efros,

Jun-Yan Zhu

[pdf] [arXiv]

[bibtex]

@InProceedings{Cazenavette_2022_CVPR, author = {Cazenavette, George and Wang, Tongzhou and Torralba, Antonio and Efros, Alexei A. and Zhu, Jun-Yan}, title = {Dataset Distillation by Matching Training Trajectories}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10718-10727} }

Towards Driving-Oriented Metric for Lane Detection Models

Takami Sato,

Qi Alfred Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sato_2022_CVPR, author = {Sato, Takami and Chen, Qi Alfred}, title = {Towards Driving-Oriented Metric for Lane Detection Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17153-17162} }

EPro-PnP: Generalized End-to-End Probabilistic Perspective-N-Points for Monocular Object Pose Estimation

Hansheng Chen,

Pichao Wang,

Fan Wang,

Wei Tian,

Lu Xiong,

Hao Li

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Hansheng and Wang, Pichao and Wang, Fan and Tian, Wei and Xiong, Lu and Li, Hao}, title = {EPro-PnP: Generalized End-to-End Probabilistic Perspective-N-Points for Monocular Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2781-2790} }

Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection

Yibo Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Yibo}, title = {Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7379-7387} }

XYDeblur: Divide and Conquer for Single Image Deblurring

Seo-Won Ji,

Jeongmin Lee,

Seung-Wook Kim,

Jun-Pyo Hong,

Seung-Jin Baek,

Seung-Won Jung,

Sung-Jea Ko

[pdf] [supp]

[bibtex]

@InProceedings{Ji_2022_CVPR, author = {Ji, Seo-Won and Lee, Jeongmin and Kim, Seung-Wook and Hong, Jun-Pyo and Baek, Seung-Jin and Jung, Seung-Won and Ko, Sung-Jea}, title = {XYDeblur: Divide and Conquer for Single Image Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17421-17430} }

Generating Diverse and Natural 3D Human Motions From Text

Chuan Guo,

Shihao Zou,

Xinxin Zuo,

Sen Wang,

Wei Ji,

Xingyu Li,

Li Cheng

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Chuan and Zou, Shihao and Zuo, Xinxin and Wang, Sen and Ji, Wei and Li, Xingyu and Cheng, Li}, title = {Generating Diverse and Natural 3D Human Motions From Text}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5152-5161} }

E-CIR: Event-Enhanced Continuous Intensity Recovery

Chen Song,

Qixing Huang,

Chandrajit Bajaj

[pdf]

[bibtex]

@InProceedings{Song_2022_CVPR, author = {Song, Chen and Huang, Qixing and Bajaj, Chandrajit}, title = {E-CIR: Event-Enhanced Continuous Intensity Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7803-7812} }

Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond

Yi Yu,

Wenhan Yang,

Yap-Peng Tan,

Alex C. Kot

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Yi and Yang, Wenhan and Tan, Yap-Peng and Kot, Alex C.}, title = {Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6013-6022} }

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

Peishan Cong,

Xinge Zhu,

Feng Qiao,

Yiming Ren,

Xidong Peng,

Yuenan Hou,

Lan Xu,

Ruigang Yang,

Dinesh Manocha,

Yuexin Ma

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cong_2022_CVPR, author = {Cong, Peishan and Zhu, Xinge and Qiao, Feng and Ren, Yiming and Peng, Xidong and Hou, Yuenan and Xu, Lan and Yang, Ruigang and Manocha, Dinesh and Ma, Yuexin}, title = {STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19608-19617} }

Deep Decomposition for Stochastic Normal-Abnormal Transport

Peirong Liu,

Yueh Lee,

Stephen Aylward,

Marc Niethammer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Peirong and Lee, Yueh and Aylward, Stephen and Niethammer, Marc}, title = {Deep Decomposition for Stochastic Normal-Abnormal Transport}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18791-18801} }

Global Context With Discrete Diffusion in Vector Quantised Modelling for Image Generation

Minghui Hu,

Yujie Wang,

Tat-Jen Cham,

Jianfei Yang,

P.N. Suganthan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Minghui and Wang, Yujie and Cham, Tat-Jen and Yang, Jianfei and Suganthan, P.N.}, title = {Global Context With Discrete Diffusion in Vector Quantised Modelling for Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11502-11511} }

Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation

Nathaniel Merrill,

Yuliang Guo,

Xingxing Zuo,

Xinyu Huang,

Stefan Leutenegger,

Xi Peng,

Liu Ren,

Guoquan Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Merrill_2022_CVPR, author = {Merrill, Nathaniel and Guo, Yuliang and Zuo, Xingxing and Huang, Xinyu and Leutenegger, Stefan and Peng, Xi and Ren, Liu and Huang, Guoquan}, title = {Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14901-14910} }

AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception

Shaoyu Chen,

Xinggang Wang,

Tianheng Cheng,

Wenqiang Zhang,

Qian Zhang,

Chang Huang,

Wenyu Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Shaoyu and Wang, Xinggang and Cheng, Tianheng and Zhang, Wenqiang and Zhang, Qian and Huang, Chang and Liu, Wenyu}, title = {AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6387-6396} }

Towards Multimodal Depth Estimation From Light Fields

Titus Leistner,

Radek Mackowiak,

Lynton Ardizzone,

Ullrich Köthe,

Carsten Rother

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Leistner_2022_CVPR, author = {Leistner, Titus and Mackowiak, Radek and Ardizzone, Lynton and K\"othe, Ullrich and Rother, Carsten}, title = {Towards Multimodal Depth Estimation From Light Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12953-12961} }

Learning To Recognize Procedural Activities With Distant Supervision

Xudong Lin,

Fabio Petroni,

Gedas Bertasius,

Marcus Rohrbach,

Shih-Fu Chang,

Lorenzo Torresani

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Xudong and Petroni, Fabio and Bertasius, Gedas and Rohrbach, Marcus and Chang, Shih-Fu and Torresani, Lorenzo}, title = {Learning To Recognize Procedural Activities With Distant Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13853-13863} }

Multimodal Material Segmentation

Yupeng Liang,

Ryosuke Wakaki,

Shohei Nobuhara,

Ko Nishino

[pdf] [supp]

[bibtex]

@InProceedings{Liang_2022_CVPR, author = {Liang, Yupeng and Wakaki, Ryosuke and Nobuhara, Shohei and Nishino, Ko}, title = {Multimodal Material Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19800-19808} }

Multi-Frame Self-Supervised Depth With Transformers

Vitor Guizilini,

Rareș Ambruș,

Dian Chen,

Sergey Zakharov,

Adrien Gaidon

[pdf] [supp]

[bibtex]

@InProceedings{Guizilini_2022_CVPR, author = {Guizilini, Vitor and Ambruș, Rareș and Chen, Dian and Zakharov, Sergey and Gaidon, Adrien}, title = {Multi-Frame Self-Supervised Depth With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {160-170} }

Weakly Supervised Rotation-Invariant Aerial Object Detection Network

Xiaoxu Feng,

Xiwen Yao,

Gong Cheng,

Junwei Han

[pdf]

[bibtex]

@InProceedings{Feng_2022_CVPR, author = {Feng, Xiaoxu and Yao, Xiwen and Cheng, Gong and Han, Junwei}, title = {Weakly Supervised Rotation-Invariant Aerial Object Detection Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14146-14155} }

Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation

Wangbo Zhao,

Kai Wang,

Xiangxiang Chu,

Fuzhao Xue,

Xinchao Wang,

Yang You

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Wangbo and Wang, Kai and Chu, Xiangxiang and Xue, Fuzhao and Wang, Xinchao and You, Yang}, title = {Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11737-11746} }

Surface Reconstruction From Point Clouds by Learning Predictive Context Priors

Baorui Ma,

Yu-Shen Liu,

Matthias Zwicker,

Zhizhong Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Baorui and Liu, Yu-Shen and Zwicker, Matthias and Han, Zhizhong}, title = {Surface Reconstruction From Point Clouds by Learning Predictive Context Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6326-6337} }

Deformable Video Transformer

Jue Wang,

Lorenzo Torresani

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jue and Torresani, Lorenzo}, title = {Deformable Video Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14053-14062} }

Self-Supervised Keypoint Discovery in Behavioral Videos

Jennifer J. Sun,

Serim Ryou,

Roni H. Goldshmid,

Brandon Weissbourd,

John O. Dabiri,

David J. Anderson,

Ann Kennedy,

Yisong Yue,

Pietro Perona

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Jennifer J. and Ryou, Serim and Goldshmid, Roni H. and Weissbourd, Brandon and Dabiri, John O. and Anderson, David J. and Kennedy, Ann and Yue, Yisong and Perona, Pietro}, title = {Self-Supervised Keypoint Discovery in Behavioral Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2171-2180} }

IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes

Rui Zhu,

Zhengqin Li,

Janarbek Matai,

Fatih Porikli,

Manmohan Chandraker

[pdf] [supp]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Rui and Li, Zhengqin and Matai, Janarbek and Porikli, Fatih and Chandraker, Manmohan}, title = {IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2822-2831} }

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation

Aysim Toker,

Lukas Kondmann,

Mark Weber,

Marvin Eisenberger,

Andrés Camero,

Jingliang Hu,

Ariadna Pregel Hoderlein,

Çağlar Şenaras,

Timothy Davis,

Daniel Cremers,

Giovanni Marchisio,

Xiao Xiang Zhu,

Laura Leal-Taixé

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Toker_2022_CVPR, author = {Toker, Aysim and Kondmann, Lukas and Weber, Mark and Eisenberger, Marvin and Camero, Andr\'es and Hu, Jingliang and Hoderlein, Ariadna Pregel and \c{S}enaras, \c{C}a\u{g}lar and Davis, Timothy and Cremers, Daniel and Marchisio, Giovanni and Zhu, Xiao Xiang and Leal-Taix\'e, Laura}, title = {DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21158-21167} }

Connecting the Complementary-View Videos: Joint Camera Identification and Subject Association

Ruize Han,

Yiyang Gan,

Jiacheng Li,

Feifan Wang,

Wei Feng,

Song Wang

[pdf] [supp]

[bibtex]

@InProceedings{Han_2022_CVPR, author = {Han, Ruize and Gan, Yiyang and Li, Jiacheng and Wang, Feifan and Feng, Wei and Wang, Song}, title = {Connecting the Complementary-View Videos: Joint Camera Identification and Subject Association}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2416-2425} }

End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps

Ke Guo,

Wenxi Liu,

Jia Pan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Ke and Liu, Wenxi and Pan, Jia}, title = {End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2242-2251} }

Fast, Accurate and Memory-Efficient Partial Permutation Synchronization

Shaohan Li,

Yunpeng Shi,

Gilad Lerman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Shaohan and Shi, Yunpeng and Lerman, Gilad}, title = {Fast, Accurate and Memory-Efficient Partial Permutation Synchronization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15735-15743} }

Quantization-Aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging

Lingen Li,

Lizhi Wang,

Weitao Song,

Lei Zhang,

Zhiwei Xiong,

Hua Huang

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Lingen and Wang, Lizhi and Song, Weitao and Zhang, Lei and Xiong, Zhiwei and Huang, Hua}, title = {Quantization-Aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19780-19789} }

Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation

Linjiang Huang,

Liang Wang,

Hongsheng Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Linjiang and Wang, Liang and Li, Hongsheng}, title = {Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3272-3281} }

Parametric Scattering Networks

Shanel Gauthier,

Benjamin Thérien,

Laurent Alsène-Racicot,

Muawiz Chaudhary,

Irina Rish,

Eugene Belilovsky,

Michael Eickenberg,

Guy Wolf

[pdf] [supp]

[bibtex]

@InProceedings{Gauthier_2022_CVPR, author = {Gauthier, Shanel and Th\'erien, Benjamin and Als\`ene-Racicot, Laurent and Chaudhary, Muawiz and Rish, Irina and Belilovsky, Eugene and Eickenberg, Michael and Wolf, Guy}, title = {Parametric Scattering Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5749-5758} }

SketchEdit: Mask-Free Local Image Manipulation With Partial Sketches

Yu Zeng,

Zhe Lin,

Vishal M. Patel

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zeng_2022_CVPR, author = {Zeng, Yu and Lin, Zhe and Patel, Vishal M.}, title = {SketchEdit: Mask-Free Local Image Manipulation With Partial Sketches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5951-5961} }

ScaleNet: A Shallow Architecture for Scale Estimation

Axel Barroso-Laguna,

Yurun Tian,

Krystian Mikolajczyk

[pdf] [supp]

[bibtex]

@InProceedings{Barroso-Laguna_2022_CVPR, author = {Barroso-Laguna, Axel and Tian, Yurun and Mikolajczyk, Krystian}, title = {ScaleNet: A Shallow Architecture for Scale Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12808-12818} }

E2EC: An End-to-End Contour-Based Method for High-Quality High-Speed Instance Segmentation

Tao Zhang,

Shiqing Wei,

Shunping Ji

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Tao and Wei, Shiqing and Ji, Shunping}, title = {E2EC: An End-to-End Contour-Based Method for High-Quality High-Speed Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4443-4452} }

Bounded Adversarial Attack on Deep Content Features

Qiuling Xu,

Guanhong Tao,

Xiangyu Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Qiuling and Tao, Guanhong and Zhang, Xiangyu}, title = {Bounded Adversarial Attack on Deep Content Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15203-15212} }

BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning

Zhi Hou,

Baosheng Yu,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hou_2022_CVPR, author = {Hou, Zhi and Yu, Baosheng and Tao, Dacheng}, title = {BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7256-7266} }

Self-Supervised Image-Specific Prototype Exploration for Weakly Supervised Semantic Segmentation

Qi Chen,

Lingxiao Yang,

Jian-Huang Lai,

Xiaohua Xie

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Qi and Yang, Lingxiao and Lai, Jian-Huang and Xie, Xiaohua}, title = {Self-Supervised Image-Specific Prototype Exploration for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4288-4298} }

CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification

Philip Chikontwe,

Soopil Kim,

Sang Hyun Park

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chikontwe_2022_CVPR, author = {Chikontwe, Philip and Kim, Soopil and Park, Sang Hyun}, title = {CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14554-14563} }

Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations

Zirui Peng,

Shaofeng Li,

Guoxing Chen,

Cheng Zhang,

Haojin Zhu,

Minhui Xue

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Peng_2022_CVPR, author = {Peng, Zirui and Li, Shaofeng and Chen, Guoxing and Zhang, Cheng and Zhu, Haojin and Xue, Minhui}, title = {Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13430-13439} }

Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation

Damien Robert,

Bruno Vallet,

Loic Landrieu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Robert_2022_CVPR, author = {Robert, Damien and Vallet, Bruno and Landrieu, Loic}, title = {Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5575-5584} }

ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-Wise Semantic Alignment and Generation

Jianan Wang,

Guansong Lu,

Hang Xu,

Zhenguo Li,

Chunjing Xu,

Yanwei Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jianan and Lu, Guansong and Xu, Hang and Li, Zhenguo and Xu, Chunjing and Fu, Yanwei}, title = {ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-Wise Semantic Alignment and Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10707-10717} }

Improving Video Model Transfer With Dynamic Representation Learning

Yi Li,

Nuno Vasconcelos

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yi and Vasconcelos, Nuno}, title = {Improving Video Model Transfer With Dynamic Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19280-19291} }

PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition

Partha Das,

Sezer Karaoglu,

Theo Gevers

[pdf] [supp]

[bibtex]

@InProceedings{Das_2022_CVPR, author = {Das, Partha and Karaoglu, Sezer and Gevers, Theo}, title = {PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19790-19799} }

Clothes-Changing Person Re-Identification With RGB Modality Only

Xinqian Gu,

Hong Chang,

Bingpeng Ma,

Shutao Bai,

Shiguang Shan,

Xilin Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gu_2022_CVPR, author = {Gu, Xinqian and Chang, Hong and Ma, Bingpeng and Bai, Shutao and Shan, Shiguang and Chen, Xilin}, title = {Clothes-Changing Person Re-Identification With RGB Modality Only}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1060-1069} }

Chitransformer: Towards Reliable Stereo From Cues

Qing Su,

Shihao Ji

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Su_2022_CVPR, author = {Su, Qing and Ji, Shihao}, title = {Chitransformer: Towards Reliable Stereo From Cues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1939-1949} }

Robust Image Forgery Detection Over Online Social Network Shared Images

Haiwei Wu,

Jiantao Zhou,

Jinyu Tian,

Jun Liu

[pdf] [supp]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Haiwei and Zhou, Jiantao and Tian, Jinyu and Liu, Jun}, title = {Robust Image Forgery Detection Over Online Social Network Shared Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13440-13449} }

QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation

Xueqi Hu,

Xinyue Zhou,

Qiusheng Huang,

Zhengyi Shi,

Li Sun,

Qingli Li

[pdf] [supp]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Xueqi and Zhou, Xinyue and Huang, Qiusheng and Shi, Zhengyi and Sun, Li and Li, Qingli}, title = {QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18291-18300} }

Physically Disentangled Intra- and Inter-Domain Adaptation for Varicolored Haze Removal

Yi Li,

Yi Chang,

Yan Gao,

Changfeng Yu,

Luxin Yan

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yi and Chang, Yi and Gao, Yan and Yu, Changfeng and Yan, Luxin}, title = {Physically Disentangled Intra- and Inter-Domain Adaptation for Varicolored Haze Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5841-5850} }

Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection

Yu-Jhe Li,

Jinhyung Park,

Matthew O'Toole,

Kris Kitani

[pdf]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yu-Jhe and Park, Jinhyung and O'Toole, Matthew and Kitani, Kris}, title = {Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {918-927} }

A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty

Sihao Yu,

Jiafeng Guo,

Ruqing Zhang,

Yixing Fan,

Zizhen Wang,

Xueqi Cheng

[pdf] [supp]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Sihao and Guo, Jiafeng and Zhang, Ruqing and Fan, Yixing and Wang, Zizhen and Cheng, Xueqi}, title = {A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {70-79} }

Representation Compensation Networks for Continual Semantic Segmentation

Chang-Bin Zhang,

Jia-Wen Xiao,

Xialei Liu,

Ying-Cong Chen,

Ming-Ming Cheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Chang-Bin and Xiao, Jia-Wen and Liu, Xialei and Chen, Ying-Cong and Cheng, Ming-Ming}, title = {Representation Compensation Networks for Continual Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7053-7064} }

Adaptive Gating for Single-Photon 3D Imaging

Ryan Po,

Adithya Pediredla,

Ioannis Gkioulekas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Po_2022_CVPR, author = {Po, Ryan and Pediredla, Adithya and Gkioulekas, Ioannis}, title = {Adaptive Gating for Single-Photon 3D Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16354-16363} }

Tracking People by Predicting 3D Appearance, Location and Pose

Jathushan Rajasegaran,

Georgios Pavlakos,

Angjoo Kanazawa,

Jitendra Malik

[pdf] [supp]

[bibtex]

@InProceedings{Rajasegaran_2022_CVPR, author = {Rajasegaran, Jathushan and Pavlakos, Georgios and Kanazawa, Angjoo and Malik, Jitendra}, title = {Tracking People by Predicting 3D Appearance, Location and Pose}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2740-2749} }

Text2Mesh: Text-Driven Neural Stylization for Meshes

Oscar Michel,

Roi Bar-On,

Richard Liu,

Sagie Benaim,

Rana Hanocka

[pdf] [supp]

[bibtex]

@InProceedings{Michel_2022_CVPR, author = {Michel, Oscar and Bar-On, Roi and Liu, Richard and Benaim, Sagie and Hanocka, Rana}, title = {Text2Mesh: Text-Driven Neural Stylization for Meshes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13492-13502} }

Learning To Solve Hard Minimal Problems

Petr Hruby,

Timothy Duff,

Anton Leykin,

Tomas Pajdla

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hruby_2022_CVPR, author = {Hruby, Petr and Duff, Timothy and Leykin, Anton and Pajdla, Tomas}, title = {Learning To Solve Hard Minimal Problems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5532-5542} }

H4D: Human 4D Modeling by Learning Neural Compositional Representation

Boyan Jiang,

Yinda Zhang,

Xingkui Wei,

Xiangyang Xue,

Yanwei Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Boyan and Zhang, Yinda and Wei, Xingkui and Xue, Xiangyang and Fu, Yanwei}, title = {H4D: Human 4D Modeling by Learning Neural Compositional Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19355-19365} }

FWD: Real-Time Novel View Synthesis With Forward Warping and Depth

Ang Cao,

Chris Rockwell,

Justin Johnson

[pdf] [supp]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Ang and Rockwell, Chris and Johnson, Justin}, title = {FWD: Real-Time Novel View Synthesis With Forward Warping and Depth}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15713-15724} }

Non-Generative Generalized Zero-Shot Learning via Task-Correlated Disentanglement and Controllable Samples Synthesis

Yaogong Feng,

Xiaowen Huang,

Pengbo Yang,

Jian Yu,

Jitao Sang

[pdf] [arXiv]

[bibtex]

@InProceedings{Feng_2022_CVPR, author = {Feng, Yaogong and Huang, Xiaowen and Yang, Pengbo and Yu, Jian and Sang, Jitao}, title = {Non-Generative Generalized Zero-Shot Learning via Task-Correlated Disentanglement and Controllable Samples Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9346-9355} }

C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image

Zhang Chen,

Zhiqiang Tian,

Jihua Zhu,

Ce Li,

Shaoyi Du

[pdf]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Zhang and Tian, Zhiqiang and Zhu, Jihua and Li, Ce and Du, Shaoyi}, title = {C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11676-11685} }

Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection

Alexandros Haliassos,

Rodrigo Mira,

Stavros Petridis,

Maja Pantic

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Haliassos_2022_CVPR, author = {Haliassos, Alexandros and Mira, Rodrigo and Petridis, Stavros and Pantic, Maja}, title = {Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14950-14962} }

Forward Compatible Few-Shot Class-Incremental Learning

Da-Wei Zhou,

Fu-Yun Wang,

Han-Jia Ye,

Liang Ma,

Shiliang Pu,

De-Chuan Zhan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Da-Wei and Wang, Fu-Yun and Ye, Han-Jia and Ma, Liang and Pu, Shiliang and Zhan, De-Chuan}, title = {Forward Compatible Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9046-9056} }

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule

Miao Zhang,

Shirui Pan,

Xiaojun Chang,

Steven Su,

Jilin Hu,

Gholamreza (Reza) Haffari,

Bin Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Miao and Pan, Shirui and Chang, Xiaojun and Su, Steven and Hu, Jilin and Haffari, Gholamreza (Reza) and Yang, Bin}, title = {BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11871-11880} }

Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints To Better Classify Objects in Videos

Sukjun Hwang,

Miran Heo,

Seoung Wug Oh,

Seon Joo Kim

[pdf] [supp]

[bibtex]

@InProceedings{Hwang_2022_CVPR, author = {Hwang, Sukjun and Heo, Miran and Oh, Seoung Wug and Kim, Seon Joo}, title = {Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints To Better Classify Objects in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17052-17061} }

Learning Canonical F-Correlation Projection for Compact Multiview Representation

Yun-Hao Yuan,

Jin Li,

Yun Li,

Jipeng Qiang,

Yi Zhu,

Xiaobo Shen,

Jianping Gou

[pdf] [supp]

[bibtex]

@InProceedings{Yuan_2022_CVPR, author = {Yuan, Yun-Hao and Li, Jin and Li, Yun and Qiang, Jipeng and Zhu, Yi and Shen, Xiaobo and Gou, Jianping}, title = {Learning Canonical F-Correlation Projection for Compact Multiview Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19260-19269} }

DIFNet: Boosting Visual Information Flow for Image Captioning

Mingrui Wu,

Xuying Zhang,

Xiaoshuai Sun,

Yiyi Zhou,

Chao Chen,

Jiaxin Gu,

Xing Sun,

Rongrong Ji

[pdf]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Mingrui and Zhang, Xuying and Sun, Xiaoshuai and Zhou, Yiyi and Chen, Chao and Gu, Jiaxin and Sun, Xing and Ji, Rongrong}, title = {DIFNet: Boosting Visual Information Flow for Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18020-18029} }

Weakly Supervised Object Localization As Domain Adaption

Lei Zhu,

Qi She,

Qian Chen,

Yunfei You,

Boyu Wang,

Yanye Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Lei and She, Qi and Chen, Qian and You, Yunfei and Wang, Boyu and Lu, Yanye}, title = {Weakly Supervised Object Localization As Domain Adaption}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14637-14646} }

Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation

Zhaoyang Zeng,

Yongsheng Luo,

Zhenhua Liu,

Fengyun Rao,

Dian Li,

Weidong Guo,

Zhen Wen

[pdf]

[bibtex]

@InProceedings{Zeng_2022_CVPR, author = {Zeng, Zhaoyang and Luo, Yongsheng and Liu, Zhenhua and Rao, Fengyun and Li, Dian and Guo, Weidong and Wen, Zhen}, title = {Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3138-3147} }

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation

Jie Liu,

Yanqi Bao,

Guo-Sen Xie,

Huan Xiong,

Jan-Jakob Sonke,

Efstratios Gavves

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Jie and Bao, Yanqi and Xie, Guo-Sen and Xiong, Huan and Sonke, Jan-Jakob and Gavves, Efstratios}, title = {Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11553-11562} }

Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching

Nicolas Donati,

Etienne Corman,

Maks Ovsjanikov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Donati_2022_CVPR, author = {Donati, Nicolas and Corman, Etienne and Ovsjanikov, Maks}, title = {Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {742-751} }

Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation

Zhiyuan Liang,

Tiancai Wang,

Xiangyu Zhang,

Jian Sun,

Jianbing Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liang_2022_CVPR, author = {Liang, Zhiyuan and Wang, Tiancai and Zhang, Xiangyu and Sun, Jian and Shen, Jianbing}, title = {Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16907-16916} }

Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error

Yongkweon Jeon,

Chungman Lee,

Eulrang Cho,

Yeonju Ro

[pdf] [supp]

[bibtex]

@InProceedings{Jeon_2022_CVPR, author = {Jeon, Yongkweon and Lee, Chungman and Cho, Eulrang and Ro, Yeonju}, title = {Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12329-12338} }

MatteFormer: Transformer-Based Image Matting via Prior-Tokens

GyuTae Park,

SungJoon Son,

JaeYoung Yoo,

SeHo Kim,

Nojun Kwak

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, GyuTae and Son, SungJoon and Yoo, JaeYoung and Kim, SeHo and Kwak, Nojun}, title = {MatteFormer: Transformer-Based Image Matting via Prior-Tokens}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11696-11706} }

Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training

Xiao Lu,

Yihong Cao,

Sheng Liu,

Chengjiang Long,

Zipei Chen,

Xuanyu Zhou,

Yimin Yang,

Chunxia Xiao

[pdf] [supp]

[bibtex]

@InProceedings{Lu_2022_CVPR, author = {Lu, Xiao and Cao, Yihong and Liu, Sheng and Long, Chengjiang and Chen, Zipei and Zhou, Xuanyu and Yang, Yimin and Xiao, Chunxia}, title = {Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3116-3125} }

Ranking Distance Calibration for Cross-Domain Few-Shot Learning

Pan Li,

Shaogang Gong,

Chengjie Wang,

Yanwei Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Pan and Gong, Shaogang and Wang, Chengjie and Fu, Yanwei}, title = {Ranking Distance Calibration for Cross-Domain Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9099-9108} }

Robust and Accurate Superquadric Recovery: A Probabilistic Approach

Weixiao Liu,

Yuwei Wu,

Sipu Ruan,

Gregory S. Chirikjian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Weixiao and Wu, Yuwei and Ruan, Sipu and Chirikjian, Gregory S.}, title = {Robust and Accurate Superquadric Recovery: A Probabilistic Approach}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2676-2685} }

Zero-Shot Text-Guided Object Generation With Dream Fields

Ajay Jain,

Ben Mildenhall,

Jonathan T. Barron,

Pieter Abbeel,

Ben Poole

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jain_2022_CVPR, author = {Jain, Ajay and Mildenhall, Ben and Barron, Jonathan T. and Abbeel, Pieter and Poole, Ben}, title = {Zero-Shot Text-Guided Object Generation With Dream Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {867-876} }

Learning Pixel Trajectories With Multiscale Contrastive Random Walks

Zhangxing Bian,

Allan Jabri,

Alexei A. Efros,

Andrew Owens

[pdf] [arXiv]

[bibtex]

@InProceedings{Bian_2022_CVPR, author = {Bian, Zhangxing and Jabri, Allan and Efros, Alexei A. and Owens, Andrew}, title = {Learning Pixel Trajectories With Multiscale Contrastive Random Walks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6508-6519} }

Self-Supervised Correlation Mining Network for Person Image Generation

Zijian Wang,

Xingqun Qi,

Kun Yuan,

Muyi Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zijian and Qi, Xingqun and Yuan, Kun and Sun, Muyi}, title = {Self-Supervised Correlation Mining Network for Person Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7703-7712} }

Grounding Answers for Visual Questions Asked by Visually Impaired People

Chongyan Chen,

Samreen Anjum,

Danna Gurari

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Chongyan and Anjum, Samreen and Gurari, Danna}, title = {Grounding Answers for Visual Questions Asked by Visually Impaired People}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19098-19107} }

Task Adaptive Parameter Sharing for Multi-Task Learning

Matthew Wallingford,

Hao Li,

Alessandro Achille,

Avinash Ravichandran,

Charless Fowlkes,

Rahul Bhotika,

Stefano Soatto

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wallingford_2022_CVPR, author = {Wallingford, Matthew and Li, Hao and Achille, Alessandro and Ravichandran, Avinash and Fowlkes, Charless and Bhotika, Rahul and Soatto, Stefano}, title = {Task Adaptive Parameter Sharing for Multi-Task Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7561-7570} }

Sparse Instance Activation for Real-Time Instance Segmentation

Tianheng Cheng,

Xinggang Wang,

Shaoyu Chen,

Wenqiang Zhang,

Qian Zhang,

Chang Huang,

Zhaoxiang Zhang,

Wenyu Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Cheng_2022_CVPR, author = {Cheng, Tianheng and Wang, Xinggang and Chen, Shaoyu and Zhang, Wenqiang and Zhang, Qian and Huang, Chang and Zhang, Zhaoxiang and Liu, Wenyu}, title = {Sparse Instance Activation for Real-Time Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4433-4442} }

Automatic Color Image Stitching Using Quaternion Rank-1 Alignment

Jiaxue Li,

Yicong Zhou

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jiaxue and Zhou, Yicong}, title = {Automatic Color Image Stitching Using Quaternion Rank-1 Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19720-19729} }

VisualGPT: Data-Efficient Adaptation of Pretrained Language Models for Image Captioning

Jun Chen,

Han Guo,

Kai Yi,

Boyang Li,

Mohamed Elhoseiny

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Jun and Guo, Han and Yi, Kai and Li, Boyang and Elhoseiny, Mohamed}, title = {VisualGPT: Data-Efficient Adaptation of Pretrained Language Models for Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18030-18040} }

ESCNet: Gaze Target Detection With the Understanding of 3D Scenes

Jun Bao,

Buyu Liu,

Jun Yu

[pdf] [supp]

[bibtex]

@InProceedings{Bao_2022_CVPR, author = {Bao, Jun and Liu, Buyu and Yu, Jun}, title = {ESCNet: Gaze Target Detection With the Understanding of 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14126-14135} }

Can You Spot the Chameleon? Adversarially Camouflaging Images From Co-Salient Object Detection

Ruijun Gao,

Qing Guo,

Felix Juefei-Xu,

Hongkai Yu,

Huazhu Fu,

Wei Feng,

Yang Liu,

Song Wang

[pdf]

[bibtex]

@InProceedings{Gao_2022_CVPR, author = {Gao, Ruijun and Guo, Qing and Juefei-Xu, Felix and Yu, Hongkai and Fu, Huazhu and Feng, Wei and Liu, Yang and Wang, Song}, title = {Can You Spot the Chameleon? Adversarially Camouflaging Images From Co-Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2150-2159} }

Finding Badly Drawn Bunnies

Lan Yang,

Kaiyue Pang,

Honggang Zhang,

Yi-Zhe Song

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Lan and Pang, Kaiyue and Zhang, Honggang and Song, Yi-Zhe}, title = {Finding Badly Drawn Bunnies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7482-7491} }

Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders

Mikaela Angelina Uy,

Yen-Yu Chang,

Minhyuk Sung,

Purvi Goel,

Joseph G. Lambourne,

Tolga Birdal,

Leonidas J. Guibas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Uy_2022_CVPR, author = {Uy, Mikaela Angelina and Chang, Yen-Yu and Sung, Minhyuk and Goel, Purvi and Lambourne, Joseph G. and Birdal, Tolga and Guibas, Leonidas J.}, title = {Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11850-11860} }

All-Photon Polarimetric Time-of-Flight Imaging

Seung-Hwan Baek,

Felix Heide

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Baek_2022_CVPR, author = {Baek, Seung-Hwan and Heide, Felix}, title = {All-Photon Polarimetric Time-of-Flight Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17876-17885} }

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

Wenhao Li,

Hong Liu,

Hao Tang,

Pichao Wang,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Wenhao and Liu, Hong and Tang, Hao and Wang, Pichao and Van Gool, Luc}, title = {MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13147-13156} }

Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis

Tianhan Xu,

Yasuhiro Fujita,

Eiichi Matsumoto

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Tianhan and Fujita, Yasuhiro and Matsumoto, Eiichi}, title = {Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15883-15892} }

Learning From Temporal Gradient for Semi-Supervised Action Recognition

Junfei Xiao,

Longlong Jing,

Lin Zhang,

Ju He,

Qi She,

Zongwei Zhou,

Alan Yuille,

Yingwei Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xiao_2022_CVPR, author = {Xiao, Junfei and Jing, Longlong and Zhang, Lin and He, Ju and She, Qi and Zhou, Zongwei and Yuille, Alan and Li, Yingwei}, title = {Learning From Temporal Gradient for Semi-Supervised Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3252-3262} }

Towards Implicit Text-Guided 3D Shape Generation

Zhengzhe Liu,

Yi Wang,

Xiaojuan Qi,

Chi-Wing Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Zhengzhe and Wang, Yi and Qi, Xiaojuan and Fu, Chi-Wing}, title = {Towards Implicit Text-Guided 3D Shape Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17896-17906} }

Audio-Driven Neural Gesture Reenactment With Video Motion Graphs

Yang Zhou,

Jimei Yang,

Dingzeyu Li,

Jun Saito,

Deepali Aneja,

Evangelos Kalogerakis

[pdf] [supp]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Yang and Yang, Jimei and Li, Dingzeyu and Saito, Jun and Aneja, Deepali and Kalogerakis, Evangelos}, title = {Audio-Driven Neural Gesture Reenactment With Video Motion Graphs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3418-3428} }

SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage

Jiahao Yu,

Li Chen,

Mingrui Zhang,

Mading Li

[pdf] [supp]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Jiahao and Chen, Li and Zhang, Mingrui and Li, Mading}, title = {SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3729-3738} }

Transforming Model Prediction for Tracking

Christoph Mayer,

Martin Danelljan,

Goutam Bhat,

Matthieu Paul,

Danda Pani Paudel,

Fisher Yu,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mayer_2022_CVPR, author = {Mayer, Christoph and Danelljan, Martin and Bhat, Goutam and Paul, Matthieu and Paudel, Danda Pani and Yu, Fisher and Van Gool, Luc}, title = {Transforming Model Prediction for Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8731-8740} }

A Unified Framework for Implicit Sinkhorn Differentiation

Marvin Eisenberger,

Aysim Toker,

Laura Leal-Taixé,

Florian Bernard,

Daniel Cremers

[pdf] [supp]

[bibtex]

@InProceedings{Eisenberger_2022_CVPR, author = {Eisenberger, Marvin and Toker, Aysim and Leal-Taix\'e, Laura and Bernard, Florian and Cremers, Daniel}, title = {A Unified Framework for Implicit Sinkhorn Differentiation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {509-518} }

DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation

Tuo Cao,

Fei Luo,

Yanping Fu,

Wenxiao Zhang,

Shengjie Zheng,

Chunxia Xiao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Tuo and Luo, Fei and Fu, Yanping and Zhang, Wenxiao and Zheng, Shengjie and Xiao, Chunxia}, title = {DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3783-3792} }

Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs With Language Structures via Dependency Relationships

Chao Lou,

Wenjuan Han,

Yuhuan Lin,

Zilong Zheng

[pdf] [arXiv]

[bibtex]

@InProceedings{Lou_2022_CVPR, author = {Lou, Chao and Han, Wenjuan and Lin, Yuhuan and Zheng, Zilong}, title = {Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs With Language Structures via Dependency Relationships}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15607-15616} }

Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling

Dat Huynh,

Jason Kuen,

Zhe Lin,

Jiuxiang Gu,

Ehsan Elhamifar

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huynh_2022_CVPR, author = {Huynh, Dat and Kuen, Jason and Lin, Zhe and Gu, Jiuxiang and Elhamifar, Ehsan}, title = {Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7020-7031} }

Locality-Aware Inter- and Intra-Video Reconstruction for Self-Supervised Correspondence Learning

Liulei Li,

Tianfei Zhou,

Wenguan Wang,

Lu Yang,

Jianwu Li,

Yi Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Liulei and Zhou, Tianfei and Wang, Wenguan and Yang, Lu and Li, Jianwu and Yang, Yi}, title = {Locality-Aware Inter- and Intra-Video Reconstruction for Self-Supervised Correspondence Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8719-8730} }

A Versatile Multi-View Framework for LiDAR-Based 3D Object Detection With Guidance From Panoptic Segmentation

Hamidreza Fazlali,

Yixuan Xu,

Yuan Ren,

Bingbing Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fazlali_2022_CVPR, author = {Fazlali, Hamidreza and Xu, Yixuan and Ren, Yuan and Liu, Bingbing}, title = {A Versatile Multi-View Framework for LiDAR-Based 3D Object Detection With Guidance From Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17192-17201} }

Query and Attention Augmentation for Knowledge-Based Explainable Reasoning

Yifeng Zhang,

Ming Jiang,

Qi Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yifeng and Jiang, Ming and Zhao, Qi}, title = {Query and Attention Augmentation for Knowledge-Based Explainable Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15576-15585} }

Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality

Tristan Thrush,

Ryan Jiang,

Max Bartolo,

Amanpreet Singh,

Adina Williams,

Douwe Kiela,

Candace Ross

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Thrush_2022_CVPR, author = {Thrush, Tristan and Jiang, Ryan and Bartolo, Max and Singh, Amanpreet and Williams, Adina and Kiela, Douwe and Ross, Candace}, title = {Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5238-5248} }

RFNet: Unsupervised Network for Mutually Reinforcing Multi-Modal Image Registration and Fusion

Han Xu,

Jiayi Ma,

Jiteng Yuan,

Zhuliang Le,

Wei Liu

[pdf] [supp]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Han and Ma, Jiayi and Yuan, Jiteng and Le, Zhuliang and Liu, Wei}, title = {RFNet: Unsupervised Network for Mutually Reinforcing Multi-Modal Image Registration and Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19679-19688} }

Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection

Jiaqi Tang,

Zhaoyang Liu,

Chen Qian,

Wayne Wu,

Limin Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Jiaqi and Liu, Zhaoyang and Qian, Chen and Wu, Wayne and Wang, Limin}, title = {Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3355-3364} }

Interactron: Embodied Adaptive Object Detection

Klemen Kotar,

Roozbeh Mottaghi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kotar_2022_CVPR, author = {Kotar, Klemen and Mottaghi, Roozbeh}, title = {Interactron: Embodied Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14860-14869} }

3D Scene Painting via Semantic Image Synthesis

Jaebong Jeong,

Janghun Jo,

Sunghyun Cho,

Jaesik Park

[pdf] [supp]

[bibtex]

@InProceedings{Jeong_2022_CVPR, author = {Jeong, Jaebong and Jo, Janghun and Cho, Sunghyun and Park, Jaesik}, title = {3D Scene Painting via Semantic Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2262-2272} }

MeMOT: Multi-Object Tracking With Memory

Jiarui Cai,

Mingze Xu,

Wei Li,

Yuanjun Xiong,

Wei Xia,

Zhuowen Tu,

Stefano Soatto

[pdf] [arXiv]

[bibtex]

@InProceedings{Cai_2022_CVPR, author = {Cai, Jiarui and Xu, Mingze and Li, Wei and Xiong, Yuanjun and Xia, Wei and Tu, Zhuowen and Soatto, Stefano}, title = {MeMOT: Multi-Object Tracking With Memory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8090-8100} }

Revisiting Weakly Supervised Pre-Training of Visual Perception Models

Mannat Singh,

Laura Gustafson,

Aaron Adcock,

Vinicius de Freitas Reis,

Bugra Gedik,

Raj Prateek Kosaraju,

Dhruv Mahajan,

Ross Girshick,

Piotr Dollár,

Laurens van der Maaten

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Singh_2022_CVPR, author = {Singh, Mannat and Gustafson, Laura and Adcock, Aaron and de Freitas Reis, Vinicius and Gedik, Bugra and Kosaraju, Raj Prateek and Mahajan, Dhruv and Girshick, Ross and Doll\'ar, Piotr and van der Maaten, Laurens}, title = {Revisiting Weakly Supervised Pre-Training of Visual Perception Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {804-814} }

Semi-Supervised Semantic Segmentation With Error Localization Network

Donghyeon Kwon,

Suha Kwak

[pdf] [arXiv]

[bibtex]

@InProceedings{Kwon_2022_CVPR, author = {Kwon, Donghyeon and Kwak, Suha}, title = {Semi-Supervised Semantic Segmentation With Error Localization Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9957-9967} }

Meta Convolutional Neural Networks for Single Domain Generalization

Chaoqun Wan,

Xu Shen,

Yonggang Zhang,

Zhiheng Yin,

Xinmei Tian,

Feng Gao,

Jianqiang Huang,

Xian-Sheng Hua

[pdf] [supp]

[bibtex]

@InProceedings{Wan_2022_CVPR, author = {Wan, Chaoqun and Shen, Xu and Zhang, Yonggang and Yin, Zhiheng and Tian, Xinmei and Gao, Feng and Huang, Jianqiang and Hua, Xian-Sheng}, title = {Meta Convolutional Neural Networks for Single Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4682-4691} }

Generalizing Gaze Estimation With Rotation Consistency

Yiwei Bao,

Yunfei Liu,

Haofei Wang,

Feng Lu

[pdf]

[bibtex]

@InProceedings{Bao_2022_CVPR, author = {Bao, Yiwei and Liu, Yunfei and Wang, Haofei and Lu, Feng}, title = {Generalizing Gaze Estimation With Rotation Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4207-4216} }

Anomaly Detection via Reverse Distillation From One-Class Embedding

Hanqiu Deng,

Xingyu Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Deng_2022_CVPR, author = {Deng, Hanqiu and Li, Xingyu}, title = {Anomaly Detection via Reverse Distillation From One-Class Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9737-9746} }

Fine-Grained Object Classification via Self-Supervised Pose Alignment

Xuhui Yang,

Yaowei Wang,

Ke Chen,

Yong Xu,

Yonghong Tian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Xuhui and Wang, Yaowei and Chen, Ke and Xu, Yong and Tian, Yonghong}, title = {Fine-Grained Object Classification via Self-Supervised Pose Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7399-7408} }

Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction

Chongyang Zhong,

Lei Hu,

Zihao Zhang,

Yongjing Ye,

Shihong Xia

[pdf] [supp]

[bibtex]

@InProceedings{Zhong_2022_CVPR, author = {Zhong, Chongyang and Hu, Lei and Zhang, Zihao and Ye, Yongjing and Xia, Shihong}, title = {Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6447-6456} }

CellTypeGraph: A New Geometric Computer Vision Benchmark

Lorenzo Cerrone,

Athul Vijayan,

Tejasvinee Mody,

Kay Schneitz,

Fred A. Hamprecht

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cerrone_2022_CVPR, author = {Cerrone, Lorenzo and Vijayan, Athul and Mody, Tejasvinee and Schneitz, Kay and Hamprecht, Fred A.}, title = {CellTypeGraph: A New Geometric Computer Vision Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20897-20907} }

Clustering Plotted Data by Image Segmentation

Tarek Naous,

Srinjay Sarkar,

Abubakar Abid,

James Zou

[pdf] [arXiv]

[bibtex]

@InProceedings{Naous_2022_CVPR, author = {Naous, Tarek and Sarkar, Srinjay and Abid, Abubakar and Zou, James}, title = {Clustering Plotted Data by Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21499-21504} }

Accelerating Neural Network Optimization Through an Automated Control Theory Lens

Jiahao Wang,

Baoyuan Wu,

Rui Su,

Mingdeng Cao,

Shuwei Shi,

Wanli Ouyang,

Yujiu Yang

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jiahao and Wu, Baoyuan and Su, Rui and Cao, Mingdeng and Shi, Shuwei and Ouyang, Wanli and Yang, Yujiu}, title = {Accelerating Neural Network Optimization Through an Automated Control Theory Lens}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {490-499} }

Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding

Xun Long Ng,

Kian Eng Ong,

Qichen Zheng,

Yun Ni,

Si Yong Yeo,

Jun Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ng_2022_CVPR, author = {Ng, Xun Long and Ong, Kian Eng and Zheng, Qichen and Ni, Yun and Yeo, Si Yong and Liu, Jun}, title = {Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19023-19034} }

Learning To Learn Across Diverse Data Biases in Deep Face Recognition

Chang Liu,

Xiang Yu,

Yi-Hsuan Tsai,

Masoud Faraki,

Ramin Moslemi,

Manmohan Chandraker,

Yun Fu

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Chang and Yu, Xiang and Tsai, Yi-Hsuan and Faraki, Masoud and Moslemi, Ramin and Chandraker, Manmohan and Fu, Yun}, title = {Learning To Learn Across Diverse Data Biases in Deep Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4072-4082} }

Back to Reality: Weakly-Supervised 3D Object Detection With Shape-Guided Label Enhancement

Xiuwei Xu,

Yifan Wang,

Yu Zheng,

Yongming Rao,

Jie Zhou,

Jiwen Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Xiuwei and Wang, Yifan and Zheng, Yu and Rao, Yongming and Zhou, Jie and Lu, Jiwen}, title = {Back to Reality: Weakly-Supervised 3D Object Detection With Shape-Guided Label Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8438-8447} }

Long-Tail Recognition via Compositional Knowledge Transfer

Sarah Parisot,

Pedro M. Esperança,

Steven McDonagh,

Tamas J. Madarasz,

Yongxin Yang,

Zhenguo Li

[pdf] [supp]

[bibtex]

@InProceedings{Parisot_2022_CVPR, author = {Parisot, Sarah and Esperan\c{c}a, Pedro M. and McDonagh, Steven and Madarasz, Tamas J. and Yang, Yongxin and Li, Zhenguo}, title = {Long-Tail Recognition via Compositional Knowledge Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6939-6948} }

EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval

Haoyu Ma,

Handong Zhao,

Zhe Lin,

Ajinkya Kale,

Zhangyang Wang,

Tong Yu,

Jiuxiang Gu,

Sunav Choudhary,

Xiaohui Xie

[pdf] [supp]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Haoyu and Zhao, Handong and Lin, Zhe and Kale, Ajinkya and Wang, Zhangyang and Yu, Tong and Gu, Jiuxiang and Choudhary, Sunav and Xie, Xiaohui}, title = {EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18051-18061} }

Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions

De'Aira Bryant,

Siqi Deng,

Nashlie Sephus,

Wei Xia,

Pietro Perona

[pdf] [supp]

[bibtex]

@InProceedings{Bryant_2022_CVPR, author = {Bryant, De'Aira and Deng, Siqi and Sephus, Nashlie and Xia, Wei and Perona, Pietro}, title = {Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20932-20941} }

PyMiceTracking: An Open-Source Toolbox for Real-Time Behavioral Neuroscience Experiments

Richardson Menezes,

Aron de Miranda,

Helton Maia

[pdf]

[bibtex]

@InProceedings{Menezes_2022_CVPR, author = {Menezes, Richardson and de Miranda, Aron and Maia, Helton}, title = {PyMiceTracking: An Open-Source Toolbox for Real-Time Behavioral Neuroscience Experiments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21459-21465} }

Self-Taught Metric Learning Without Labels

Sungyeon Kim,

Dongwon Kim,

Minsu Cho,

Suha Kwak

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Sungyeon and Kim, Dongwon and Cho, Minsu and Kwak, Suha}, title = {Self-Taught Metric Learning Without Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7431-7441} }

MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition

Chao-Yuan Wu,

Yanghao Li,

Karttikeya Mangalam,

Haoqi Fan,

Bo Xiong,

Jitendra Malik,

Christoph Feichtenhofer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Chao-Yuan and Li, Yanghao and Mangalam, Karttikeya and Fan, Haoqi and Xiong, Bo and Malik, Jitendra and Feichtenhofer, Christoph}, title = {MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13587-13597} }

Fine-Grained Temporal Contrastive Learning for Weakly-Supervised Temporal Action Localization

Junyu Gao,

Mengyuan Chen,

Changsheng Xu

[pdf] [arXiv]

[bibtex]

@InProceedings{Gao_2022_CVPR, author = {Gao, Junyu and Chen, Mengyuan and Xu, Changsheng}, title = {Fine-Grained Temporal Contrastive Learning for Weakly-Supervised Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19999-20009} }

Embracing Single Stride 3D Object Detector With Sparse Transformer

Lue Fan,

Ziqi Pang,

Tianyuan Zhang,

Yu-Xiong Wang,

Hang Zhao,

Feng Wang,

Naiyan Wang,

Zhaoxiang Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Lue and Pang, Ziqi and Zhang, Tianyuan and Wang, Yu-Xiong and Zhao, Hang and Wang, Feng and Wang, Naiyan and Zhang, Zhaoxiang}, title = {Embracing Single Stride 3D Object Detector With Sparse Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8458-8468} }

Multidimensional Belief Quantification for Label-Efficient Meta-Learning

Deep Shankar Pandey,

Qi Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pandey_2022_CVPR, author = {Pandey, Deep Shankar and Yu, Qi}, title = {Multidimensional Belief Quantification for Label-Efficient Meta-Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14391-14400} }

UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog

Cheng Chen,

Zhenshan Tan,

Qingrong Cheng,

Xin Jiang,

Qun Liu,

Yudong Zhu,

Xiaodong Gu

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Cheng and Tan, Zhenshan and Cheng, Qingrong and Jiang, Xin and Liu, Qun and Zhu, Yudong and Gu, Xiaodong}, title = {UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18103-18112} }

Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance

Yin-Yin He,

Peizhen Zhang,

Xiu-Shen Wei,

Xiangyu Zhang,

Jian Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Yin-Yin and Zhang, Peizhen and Wei, Xiu-Shen and Zhang, Xiangyu and Sun, Jian}, title = {Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7000-7009} }

Online Convolutional Re-Parameterization

Mu Hu,

Junyi Feng,

Jiashen Hua,

Baisheng Lai,

Jianqiang Huang,

Xiaojin Gong,

Xian-Sheng Hua

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Mu and Feng, Junyi and Hua, Jiashen and Lai, Baisheng and Huang, Jianqiang and Gong, Xiaojin and Hua, Xian-Sheng}, title = {Online Convolutional Re-Parameterization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {568-577} }

Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning

Yujun Shi,

Kuangqi Zhou,

Jian Liang,

Zihang Jiang,

Jiashi Feng,

Philip H.S. Torr,

Song Bai,

Vincent Y. F. Tan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Yujun and Zhou, Kuangqi and Liang, Jian and Jiang, Zihang and Feng, Jiashi and Torr, Philip H.S. and Bai, Song and Tan, Vincent Y. F.}, title = {Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16722-16731} }

RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding

Xuanyu Zhou,

Charles R. Qi,

Yin Zhou,

Dragomir Anguelov

[pdf] [supp]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Xuanyu and Qi, Charles R. and Zhou, Yin and Anguelov, Dragomir}, title = {RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17212-17221} }

RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition

Jun Chen,

Aniket Agarwal,

Sherif Abdelkarim,

Deyao Zhu,

Mohamed Elhoseiny

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Jun and Agarwal, Aniket and Abdelkarim, Sherif and Zhu, Deyao and Elhoseiny, Mohamed}, title = {RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19507-19517} }

HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks

Miao Yin,

Yang Sui,

Wanzhao Yang,

Xiao Zang,

Yu Gong,

Bo Yuan

[pdf]

[bibtex]

@InProceedings{Yin_2022_CVPR, author = {Yin, Miao and Sui, Yang and Yang, Wanzhao and Zang, Xiao and Gong, Yu and Yuan, Bo}, title = {HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12299-12308} }

RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior

Ruibo Li,

Chi Zhang,

Guosheng Lin,

Zhe Wang,

Chunhua Shen

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Ruibo and Zhang, Chi and Lin, Guosheng and Wang, Zhe and Shen, Chunhua}, title = {RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16959-16968} }

Smooth Maximum Unit: Smooth Activation Function for Deep Networks Using Smoothing Maximum Technique

Koushik Biswas,

Sandeep Kumar,

Shilpak Banerjee,

Ashish Kumar Pandey

[pdf] [supp]

[bibtex]

@InProceedings{Biswas_2022_CVPR, author = {Biswas, Koushik and Kumar, Sandeep and Banerjee, Shilpak and Pandey, Ashish Kumar}, title = {Smooth Maximum Unit: Smooth Activation Function for Deep Networks Using Smoothing Maximum Technique}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {794-803} }

Learning Invisible Markers for Hidden Codes in Offline-to-Online Photography

Jun Jia,

Zhongpai Gao,

Dandan Zhu,

Xiongkuo Min,

Guangtao Zhai,

Xiaokang Yang

[pdf] [supp]

[bibtex]

@InProceedings{Jia_2022_CVPR, author = {Jia, Jun and Gao, Zhongpai and Zhu, Dandan and Min, Xiongkuo and Zhai, Guangtao and Yang, Xiaokang}, title = {Learning Invisible Markers for Hidden Codes in Offline-to-Online Photography}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2273-2282} }

Personalized Image Aesthetics Assessment With Rich Attributes

Yuzhe Yang,

Liwu Xu,

Leida Li,

Nan Qie,

Yaqian Li,

Peng Zhang,

Yandong Guo

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Yuzhe and Xu, Liwu and Li, Leida and Qie, Nan and Li, Yaqian and Zhang, Peng and Guo, Yandong}, title = {Personalized Image Aesthetics Assessment With Rich Attributes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19861-19869} }

Task2Sim: Towards Effective Pre-Training and Transfer From Synthetic Data

Samarth Mishra,

Rameswar Panda,

Cheng Perng Phoo,

Chun-Fu (Richard) Chen,

Leonid Karlinsky,

Kate Saenko,

Venkatesh Saligrama,

Rogerio S. Feris

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mishra_2022_CVPR, author = {Mishra, Samarth and Panda, Rameswar and Phoo, Cheng Perng and Chen, Chun-Fu (Richard) and Karlinsky, Leonid and Saenko, Kate and Saligrama, Venkatesh and Feris, Rogerio S.}, title = {Task2Sim: Towards Effective Pre-Training and Transfer From Synthetic Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9194-9204} }

Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification

Yoonki Cho,

Woo Jae Kim,

Seunghoon Hong,

Sung-Eui Yoon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cho_2022_CVPR, author = {Cho, Yoonki and Kim, Woo Jae and Hong, Seunghoon and Yoon, Sung-Eui}, title = {Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7308-7318} }

Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation

Yicong Hong,

Zun Wang,

Qi Wu,

Stephen Gould

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hong_2022_CVPR, author = {Hong, Yicong and Wang, Zun and Wu, Qi and Gould, Stephen}, title = {Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15439-15449} }

HDNet: High-Resolution Dual-Domain Learning for Spectral Compressive Imaging

Xiaowan Hu,

Yuanhao Cai,

Jing Lin,

Haoqian Wang,

Xin Yuan,

Yulun Zhang,

Radu Timofte,

Luc Van Gool

[pdf] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Xiaowan and Cai, Yuanhao and Lin, Jing and Wang, Haoqian and Yuan, Xin and Zhang, Yulun and Timofte, Radu and Van Gool, Luc}, title = {HDNet: High-Resolution Dual-Domain Learning for Spectral Compressive Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17542-17551} }

OW-DETR: Open-World Detection Transformer

Akshita Gupta,

Sanath Narayan,

K J Joseph,

Salman Khan,

Fahad Shahbaz Khan,

Mubarak Shah

[pdf] [supp]

[bibtex]

@InProceedings{Gupta_2022_CVPR, author = {Gupta, Akshita and Narayan, Sanath and Joseph, K J and Khan, Salman and Khan, Fahad Shahbaz and Shah, Mubarak}, title = {OW-DETR: Open-World Detection Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9235-9244} }

Learning Deep Implicit Functions for 3D Shapes With Dynamic Code Clouds

Tianyang Li,

Xin Wen,

Yu-Shen Liu,

Hua Su,

Zhizhong Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Tianyang and Wen, Xin and Liu, Yu-Shen and Su, Hua and Han, Zhizhong}, title = {Learning Deep Implicit Functions for 3D Shapes With Dynamic Code Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12840-12850} }

Reversible Vision Transformers

Karttikeya Mangalam,

Haoqi Fan,

Yanghao Li,

Chao-Yuan Wu,

Bo Xiong,

Christoph Feichtenhofer,

Jitendra Malik

[pdf] [supp]

[bibtex]

@InProceedings{Mangalam_2022_CVPR, author = {Mangalam, Karttikeya and Fan, Haoqi and Li, Yanghao and Wu, Chao-Yuan and Xiong, Bo and Feichtenhofer, Christoph and Malik, Jitendra}, title = {Reversible Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10830-10840} }

Amodal Panoptic Segmentation

Rohit Mohan,

Abhinav Valada

[pdf] [supp]

[bibtex]

@InProceedings{Mohan_2022_CVPR, author = {Mohan, Rohit and Valada, Abhinav}, title = {Amodal Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21023-21032} }

Gravitationally Lensed Black Hole Emission Tomography

Aviad Levis,

Pratul P. Srinivasan,

Andrew A. Chael,

Ren Ng,

Katherine L. Bouman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Levis_2022_CVPR, author = {Levis, Aviad and Srinivasan, Pratul P. and Chael, Andrew A. and Ng, Ren and Bouman, Katherine L.}, title = {Gravitationally Lensed Black Hole Emission Tomography}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19841-19850} }

3D-Aware Image Synthesis via Learning Structural and Textural Representations

Yinghao Xu,

Sida Peng,

Ceyuan Yang,

Yujun Shen,

Bolei Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Yinghao and Peng, Sida and Yang, Ceyuan and Shen, Yujun and Zhou, Bolei}, title = {3D-Aware Image Synthesis via Learning Structural and Textural Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18430-18439} }

Text-to-Image Synthesis Based on Object-Guided Joint-Decoding Transformer

Fuxiang Wu,

Liu Liu,

Fusheng Hao,

Fengxiang He,

Jun Cheng

[pdf] [supp]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Fuxiang and Liu, Liu and Hao, Fusheng and He, Fengxiang and Cheng, Jun}, title = {Text-to-Image Synthesis Based on Object-Guided Joint-Decoding Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18113-18122} }

Correlation Verification for Image Retrieval

Seongwon Lee,

Hongje Seong,

Suhyeon Lee,

Euntai Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Seongwon and Seong, Hongje and Lee, Suhyeon and Kim, Euntai}, title = {Correlation Verification for Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5374-5384} }

Unsupervised Vision-and-Language Pre-Training via Retrieval-Based Multi-Granular Alignment

Mingyang Zhou,

Licheng Yu,

Amanpreet Singh,

Mengjiao Wang,

Zhou Yu,

Ning Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Mingyang and Yu, Licheng and Singh, Amanpreet and Wang, Mengjiao and Yu, Zhou and Zhang, Ning}, title = {Unsupervised Vision-and-Language Pre-Training via Retrieval-Based Multi-Granular Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16485-16494} }

Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer

Shengshan Hu,

Xiaogeng Liu,

Yechao Zhang,

Minghui Li,

Leo Yu Zhang,

Hai Jin,

Libing Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Shengshan and Liu, Xiaogeng and Zhang, Yechao and Li, Minghui and Zhang, Leo Yu and Jin, Hai and Wu, Libing}, title = {Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15014-15023} }

PONI: Potential Functions for ObjectGoal Navigation With Interaction-Free Learning

Santhosh Kumar Ramakrishnan,

Devendra Singh Chaplot,

Ziad Al-Halah,

Jitendra Malik,

Kristen Grauman

[pdf] [supp]

[bibtex]

@InProceedings{Ramakrishnan_2022_CVPR, author = {Ramakrishnan, Santhosh Kumar and Chaplot, Devendra Singh and Al-Halah, Ziad and Malik, Jitendra and Grauman, Kristen}, title = {PONI: Potential Functions for ObjectGoal Navigation With Interaction-Free Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18890-18900} }

Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning

Jiexi Yan,

Lei Luo,

Chenghao Xu,

Cheng Deng,

Heng Huang

[pdf]

[bibtex]

@InProceedings{Yan_2022_CVPR, author = {Yan, Jiexi and Luo, Lei and Xu, Chenghao and Deng, Cheng and Huang, Heng}, title = {Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {31-40} }

Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation

Zhenguang Liu,

Runyang Feng,

Haoming Chen,

Shuang Wu,

Yixing Gao,

Yunjun Gao,

Xiang Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Zhenguang and Feng, Runyang and Chen, Haoming and Wu, Shuang and Gao, Yixing and Gao, Yunjun and Wang, Xiang}, title = {Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11006-11016} }

Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing

Gaurav Parmar,

Yijun Li,

Jingwan Lu,

Richard Zhang,

Jun-Yan Zhu,

Krishna Kumar Singh

[pdf]

[bibtex]

@InProceedings{Parmar_2022_CVPR, author = {Parmar, Gaurav and Li, Yijun and Lu, Jingwan and Zhang, Richard and Zhu, Jun-Yan and Singh, Krishna Kumar}, title = {Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11399-11409} }

Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut

Yangtao Wang,

Xi Shen,

Shell Xu Hu,

Yuan Yuan,

James L. Crowley,

Dominique Vaufreydaz

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yangtao and Shen, Xi and Hu, Shell Xu and Yuan, Yuan and Crowley, James L. and Vaufreydaz, Dominique}, title = {Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14543-14553} }

Exploring Structure-Aware Transformer Over Interaction Proposals for Human-Object Interaction Detection

Yong Zhang,

Yingwei Pan,

Ting Yao,

Rui Huang,

Tao Mei,

Chang-Wen Chen

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yong and Pan, Yingwei and Yao, Ting and Huang, Rui and Mei, Tao and Chen, Chang-Wen}, title = {Exploring Structure-Aware Transformer Over Interaction Proposals for Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19548-19557} }

Towards Robust Adaptive Object Detection Under Noisy Annotations

Xinyu Liu,

Wuyang Li,

Qiushi Yang,

Baopu Li,

Yixuan Yuan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Xinyu and Li, Wuyang and Yang, Qiushi and Li, Baopu and Yuan, Yixuan}, title = {Towards Robust Adaptive Object Detection Under Noisy Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14207-14216} }

Decoupled Multi-Task Learning With Cyclical Self-Regulation for Face Parsing

Qingping Zheng,

Jiankang Deng,

Zheng Zhu,

Ying Li,

Stefanos Zafeiriou

[pdf] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Qingping and Deng, Jiankang and Zhu, Zheng and Li, Ying and Zafeiriou, Stefanos}, title = {Decoupled Multi-Task Learning With Cyclical Self-Regulation for Face Parsing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4156-4165} }

Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

Shuai Yang,

Liming Jiang,

Ziwei Liu,

Chen Change Loy

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Shuai and Jiang, Liming and Liu, Ziwei and Loy, Chen Change}, title = {Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7693-7702} }

Learning To Memorize Feature Hallucination for One-Shot Image Generation

Yu Xie,

Yanwei Fu,

Ying Tai,

Yun Cao,

Junwei Zhu,

Chengjie Wang

[pdf]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Yu and Fu, Yanwei and Tai, Ying and Cao, Yun and Zhu, Junwei and Wang, Chengjie}, title = {Learning To Memorize Feature Hallucination for One-Shot Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9130-9139} }

AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis

Zhiqin Chen,

Kangxue Yin,

Sanja Fidler

[pdf]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Zhiqin and Yin, Kangxue and Fidler, Sanja}, title = {AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1465-1474} }

Open-Vocabulary One-Stage Detection With Hierarchical Visual-Language Knowledge Distillation

Zongyang Ma,

Guan Luo,

Jin Gao,

Liang Li,

Yuxin Chen,

Shaoru Wang,

Congxuan Zhang,

Weiming Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Zongyang and Luo, Guan and Gao, Jin and Li, Liang and Chen, Yuxin and Wang, Shaoru and Zhang, Congxuan and Hu, Weiming}, title = {Open-Vocabulary One-Stage Detection With Hierarchical Visual-Language Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14074-14083} }

Glass: Geometric Latent Augmentation for Shape Spaces

Sanjeev Muralikrishnan,

Siddhartha Chaudhuri,

Noam Aigerman,

Vladimir G. Kim,

Matthew Fisher,

Niloy J. Mitra

[pdf] [arXiv]

[bibtex]

@InProceedings{Muralikrishnan_2022_CVPR, author = {Muralikrishnan, Sanjeev and Chaudhuri, Siddhartha and Aigerman, Noam and Kim, Vladimir G. and Fisher, Matthew and Mitra, Niloy J.}, title = {Glass: Geometric Latent Augmentation for Shape Spaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18552-18561} }

COAP: Compositional Articulated Occupancy of People

Marko Mihajlovic,

Shunsuke Saito,

Aayush Bansal,

Michael Zollhöfer,

Siyu Tang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mihajlovic_2022_CVPR, author = {Mihajlovic, Marko and Saito, Shunsuke and Bansal, Aayush and Zollh\"ofer, Michael and Tang, Siyu}, title = {COAP: Compositional Articulated Occupancy of People}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13201-13210} }

Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation

Hanqing Wang,

Wei Liang,

Jianbing Shen,

Luc Van Gool,

Wenguan Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Hanqing and Liang, Wei and Shen, Jianbing and Van Gool, Luc and Wang, Wenguan}, title = {Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15471-15481} }

Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization

Damien Teney,

Ehsan Abbasnejad,

Simon Lucey,

Anton van den Hengel

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Teney_2022_CVPR, author = {Teney, Damien and Abbasnejad, Ehsan and Lucey, Simon and van den Hengel, Anton}, title = {Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16761-16772} }

Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities

Fadime Sener,

Dibyadip Chatterjee,

Daniel Shelepov,

Kun He,

Dipika Singhania,

Robert Wang,

Angela Yao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sener_2022_CVPR, author = {Sener, Fadime and Chatterjee, Dibyadip and Shelepov, Daniel and He, Kun and Singhania, Dipika and Wang, Robert and Yao, Angela}, title = {Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21096-21106} }

Deterministic Point Cloud Registration via Novel Transformation Decomposition

Wen Chen,

Haoang Li,

Qiang Nie,

Yun-Hui Liu

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Wen and Li, Haoang and Nie, Qiang and Liu, Yun-Hui}, title = {Deterministic Point Cloud Registration via Novel Transformation Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6348-6356} }

Motion-Adjustable Neural Implicit Video Representation

Long Mai,

Feng Liu

[pdf]

[bibtex]

@InProceedings{Mai_2022_CVPR, author = {Mai, Long and Liu, Feng}, title = {Motion-Adjustable Neural Implicit Video Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10738-10747} }

Neural Prior for Trajectory Estimation

Chaoyang Wang,

Xueqian Li,

Jhony Kaesemodel Pontes,

Simon Lucey

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Chaoyang and Li, Xueqian and Pontes, Jhony Kaesemodel and Lucey, Simon}, title = {Neural Prior for Trajectory Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6532-6542} }

DPICT: Deep Progressive Image Compression Using Trit-Planes

Jae-Han Lee,

Seungmin Jeon,

Kwang Pyo Choi,

Youngo Park,

Chang-Su Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Jae-Han and Jeon, Seungmin and Choi, Kwang Pyo and Park, Youngo and Kim, Chang-Su}, title = {DPICT: Deep Progressive Image Compression Using Trit-Planes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16113-16122} }

Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation

Rui Peng,

Rongjie Wang,

Zhenyu Wang,

Yawen Lai,

Ronggang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Peng_2022_CVPR, author = {Peng, Rui and Wang, Rongjie and Wang, Zhenyu and Lai, Yawen and Wang, Ronggang}, title = {Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8645-8654} }

Long-Tailed Recognition via Weight Balancing

Shaden Alshammari,

Yu-Xiong Wang,

Deva Ramanan,

Shu Kong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Alshammari_2022_CVPR, author = {Alshammari, Shaden and Wang, Yu-Xiong and Ramanan, Deva and Kong, Shu}, title = {Long-Tailed Recognition via Weight Balancing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6897-6907} }

Text to Image Generation With Semantic-Spatial Aware GAN

Wentong Liao,

Kai Hu,

Michael Ying Yang,

Bodo Rosenhahn

[pdf] [arXiv]

[bibtex]

@InProceedings{Liao_2022_CVPR, author = {Liao, Wentong and Hu, Kai and Yang, Michael Ying and Rosenhahn, Bodo}, title = {Text to Image Generation With Semantic-Spatial Aware GAN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18187-18196} }

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

M. Jehanzeb Mirza,

Jakub Micorek,

Horst Possegger,

Horst Bischof

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mirza_2022_CVPR, author = {Mirza, M. Jehanzeb and Micorek, Jakub and Possegger, Horst and Bischof, Horst}, title = {The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14765-14775} }

ShapeFormer: Transformer-Based Shape Completion via Sparse Representation

Xingguang Yan,

Liqiang Lin,

Niloy J. Mitra,

Dani Lischinski,

Daniel Cohen-Or,

Hui Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yan_2022_CVPR, author = {Yan, Xingguang and Lin, Liqiang and Mitra, Niloy J. and Lischinski, Dani and Cohen-Or, Daniel and Huang, Hui}, title = {ShapeFormer: Transformer-Based Shape Completion via Sparse Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6239-6249} }

PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures

Dan Hendrycks,

Andy Zou,

Mantas Mazeika,

Leonard Tang,

Bo Li,

Dawn Song,

Jacob Steinhardt

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hendrycks_2022_CVPR, author = {Hendrycks, Dan and Zou, Andy and Mazeika, Mantas and Tang, Leonard and Li, Bo and Song, Dawn and Steinhardt, Jacob}, title = {PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16783-16792} }

Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation

Wonhui Park,

Dongkwon Jin,

Chang-Su Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, Wonhui and Jin, Dongkwon and Kim, Chang-Su}, title = {Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2667-2675} }

Generalizable Cross-Modality Medical Image Segmentation via Style Augmentation and Dual Normalization

Ziqi Zhou,

Lei Qi,

Xin Yang,

Dong Ni,

Yinghuan Shi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Ziqi and Qi, Lei and Yang, Xin and Ni, Dong and Shi, Yinghuan}, title = {Generalizable Cross-Modality Medical Image Segmentation via Style Augmentation and Dual Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20856-20865} }

Learning Optical Flow With Kernel Patch Attention

Ao Luo,

Fan Yang,

Xin Li,

Shuaicheng Liu

[pdf]

[bibtex]

@InProceedings{Luo_2022_CVPR, author = {Luo, Ao and Yang, Fan and Li, Xin and Liu, Shuaicheng}, title = {Learning Optical Flow With Kernel Patch Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8906-8915} }

Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model

Yu Du,

Fangyun Wei,

Zihe Zhang,

Miaojing Shi,

Yue Gao,

Guoqi Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Du_2022_CVPR, author = {Du, Yu and Wei, Fangyun and Zhang, Zihe and Shi, Miaojing and Gao, Yue and Li, Guoqi}, title = {Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14084-14093} }

TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation

Weihua He,

Kaichao You,

Zhendong Qiao,

Xu Jia,

Ziyang Zhang,

Wenhui Wang,

Huchuan Lu,

Yaoyuan Wang,

Jianxing Liao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Weihua and You, Kaichao and Qiao, Zhendong and Jia, Xu and Zhang, Ziyang and Wang, Wenhui and Lu, Huchuan and Wang, Yaoyuan and Liao, Jianxing}, title = {TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17804-17813} }

General Incremental Learning With Domain-Aware Categorical Representations

Jiangwei Xie,

Shipeng Yan,

Xuming He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Jiangwei and Yan, Shipeng and He, Xuming}, title = {General Incremental Learning With Domain-Aware Categorical Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14351-14360} }

Interactive Segmentation and Visualization for Tiny Objects in Multi-Megapixel Images

Chengyuan Xu,

Boning Dong,

Noah Stier,

Curtis McCully,

D. Andrew Howell,

Pradeep Sen,

Tobias Höllerer

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Chengyuan and Dong, Boning and Stier, Noah and McCully, Curtis and Howell, D. Andrew and Sen, Pradeep and H\"ollerer, Tobias}, title = {Interactive Segmentation and Visualization for Tiny Objects in Multi-Megapixel Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21447-21452} }

ActiveZero: Mixed Domain Learning for Active Stereovision With Zero Annotation

Isabella Liu,

Edward Yang,

Jianyu Tao,

Rui Chen,

Xiaoshuai Zhang,

Qing Ran,

Zhu Liu,

Hao Su

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Isabella and Yang, Edward and Tao, Jianyu and Chen, Rui and Zhang, Xiaoshuai and Ran, Qing and Liu, Zhu and Su, Hao}, title = {ActiveZero: Mixed Domain Learning for Active Stereovision With Zero Annotation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13033-13042} }

DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers

Xianing Chen,

Qiong Cao,

Yujie Zhong,

Jing Zhang,

Shenghua Gao,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Xianing and Cao, Qiong and Zhong, Yujie and Zhang, Jing and Gao, Shenghua and Tao, Dacheng}, title = {DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12052-12062} }

Global-Aware Registration of Less-Overlap RGB-D Scans

Che Sun,

Yunde Jia,

Yi Guo,

Yuwei Wu

[pdf] [supp]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Che and Jia, Yunde and Guo, Yi and Wu, Yuwei}, title = {Global-Aware Registration of Less-Overlap RGB-D Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6357-6366} }

RayMVSNet: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo

Junhua Xi,

Yifei Shi,

Yijie Wang,

Yulan Guo,

Kai Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xi_2022_CVPR, author = {Xi, Junhua and Shi, Yifei and Wang, Yijie and Guo, Yulan and Xu, Kai}, title = {RayMVSNet: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8595-8605} }

ContrastMask: Contrastive Learning To Segment Every Thing

Xuehui Wang,

Kai Zhao,

Ruixin Zhang,

Shouhong Ding,

Yan Wang,

Wei Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Xuehui and Zhao, Kai and Zhang, Ruixin and Ding, Shouhong and Wang, Yan and Shen, Wei}, title = {ContrastMask: Contrastive Learning To Segment Every Thing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11604-11613} }

Efficient Deep Embedded Subspace Clustering

Jinyu Cai,

Jicong Fan,

Wenzhong Guo,

Shiping Wang,

Yunhe Zhang,

Zhao Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Cai_2022_CVPR, author = {Cai, Jinyu and Fan, Jicong and Guo, Wenzhong and Wang, Shiping and Zhang, Yunhe and Zhang, Zhao}, title = {Efficient Deep Embedded Subspace Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1-10} }

Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture

Buzhen Huang,

Liang Pan,

Yuan Yang,

Jingyi Ju,

Yangang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Buzhen and Pan, Liang and Yang, Yuan and Ju, Jingyi and Wang, Yangang}, title = {Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6417-6426} }

Revisiting Temporal Alignment for Video Restoration

Kun Zhou,

Wenbo Li,

Liying Lu,

Xiaoguang Han,

Jiangbo Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Kun and Li, Wenbo and Lu, Liying and Han, Xiaoguang and Lu, Jiangbo}, title = {Revisiting Temporal Alignment for Video Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6053-6062} }

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

Richard J. Chen,

Chengkuan Chen,

Yicong Li,

Tiffany Y. Chen,

Andrew D. Trister,

Rahul G. Krishnan,

Faisal Mahmood

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Richard J. and Chen, Chengkuan and Li, Yicong and Chen, Tiffany Y. and Trister, Andrew D. and Krishnan, Rahul G. and Mahmood, Faisal}, title = {Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16144-16155} }

Neural Reflectance for Shape Recovery With Shadow Handling

Junxuan Li,

Hongdong Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Junxuan and Li, Hongdong}, title = {Neural Reflectance for Shape Recovery With Shadow Handling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16221-16230} }

Rep-Net: Efficient On-Device Learning via Feature Reprogramming

Li Yang,

Adnan Siraj Rakin,

Deliang Fan

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Li and Rakin, Adnan Siraj and Fan, Deliang}, title = {Rep-Net: Efficient On-Device Learning via Feature Reprogramming}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12277-12286} }

Surface Representation for Point Clouds

Haoxi Ran,

Jun Liu,

Chengjie Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ran_2022_CVPR, author = {Ran, Haoxi and Liu, Jun and Wang, Chengjie}, title = {Surface Representation for Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18942-18952} }

Implicit Motion Handling for Video Camouflaged Object Detection

Xuelian Cheng,

Huan Xiong,

Deng-Ping Fan,

Yiran Zhong,

Mehrtash Harandi,

Tom Drummond,

Zongyuan Ge

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cheng_2022_CVPR, author = {Cheng, Xuelian and Xiong, Huan and Fan, Deng-Ping and Zhong, Yiran and Harandi, Mehrtash and Drummond, Tom and Ge, Zongyuan}, title = {Implicit Motion Handling for Video Camouflaged Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13864-13873} }

OVE6D: Object Viewpoint Encoding for Depth-Based 6D Object Pose Estimation

Dingding Cai,

Janne Heikkilä,

Esa Rahtu

[pdf] [supp]

[bibtex]

@InProceedings{Cai_2022_CVPR, author = {Cai, Dingding and Heikkil\"a, Janne and Rahtu, Esa}, title = {OVE6D: Object Viewpoint Encoding for Depth-Based 6D Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6803-6813} }

DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides

Parmida Ghahremani,

Joseph Marino,

Ricardo Dodds,

Saad Nadeem

[pdf] [arXiv]

[bibtex]

@InProceedings{Ghahremani_2022_CVPR, author = {Ghahremani, Parmida and Marino, Joseph and Dodds, Ricardo and Nadeem, Saad}, title = {DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21399-21405} }

Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer

Hao Jiang,

Yadong Mu

[pdf] [supp]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Hao and Mu, Yadong}, title = {Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16388-16398} }

WALT: Watch and Learn 2D Amodal Representation From Time-Lapse Imagery

N. Dinesh Reddy,

Robert Tamburo,

Srinivasa G. Narasimhan

[pdf] [supp]

[bibtex]

@InProceedings{Reddy_2022_CVPR, author = {Reddy, N. Dinesh and Tamburo, Robert and Narasimhan, Srinivasa G.}, title = {WALT: Watch and Learn 2D Amodal Representation From Time-Lapse Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9356-9366} }

Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification

Mouxing Yang,

Zhenyu Huang,

Peng Hu,

Taihao Li,

Jiancheng Lv,

Xi Peng

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Mouxing and Huang, Zhenyu and Hu, Peng and Li, Taihao and Lv, Jiancheng and Peng, Xi}, title = {Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14308-14317} }

Optical Flow Estimation for Spiking Camera

Liwen Hu,

Rui Zhao,

Ziluo Ding,

Lei Ma,

Boxin Shi,

Ruiqin Xiong,

Tiejun Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Liwen and Zhao, Rui and Ding, Ziluo and Ma, Lei and Shi, Boxin and Xiong, Ruiqin and Huang, Tiejun}, title = {Optical Flow Estimation for Spiking Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17844-17853} }

MetaFormer Is Actually What You Need for Vision

Weihao Yu,

Mi Luo,

Pan Zhou,

Chenyang Si,

Yichen Zhou,

Xinchao Wang,

Jiashi Feng,

Shuicheng Yan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Weihao and Luo, Mi and Zhou, Pan and Si, Chenyang and Zhou, Yichen and Wang, Xinchao and Feng, Jiashi and Yan, Shuicheng}, title = {MetaFormer Is Actually What You Need for Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10819-10829} }

GradViT: Gradient Inversion of Vision Transformers

Ali Hatamizadeh,

Hongxu Yin,

Holger R. Roth,

Wenqi Li,

Jan Kautz,

Daguang Xu,

Pavlo Molchanov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hatamizadeh_2022_CVPR, author = {Hatamizadeh, Ali and Yin, Hongxu and Roth, Holger R. and Li, Wenqi and Kautz, Jan and Xu, Daguang and Molchanov, Pavlo}, title = {GradViT: Gradient Inversion of Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10021-10030} }

Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning

Mengshun Hu,

Kui Jiang,

Liang Liao,

Jing Xiao,

Junjun Jiang,

Zheng Wang

[pdf]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Mengshun and Jiang, Kui and Liao, Liang and Xiao, Jing and Jiang, Junjun and Wang, Zheng}, title = {Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3574-3583} }

InstaFormer: Instance-Aware Image-to-Image Translation With Transformer

Soohyun Kim,

Jongbeom Baek,

Jihye Park,

Gyeongnyeon Kim,

Seungryong Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Soohyun and Baek, Jongbeom and Park, Jihye and Kim, Gyeongnyeon and Kim, Seungryong}, title = {InstaFormer: Instance-Aware Image-to-Image Translation With Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18321-18331} }

Revisiting Near/Remote Sensing With Geospatial Attention

Scott Workman,

M. Usman Rafique,

Hunter Blanton,

Nathan Jacobs

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Workman_2022_CVPR, author = {Workman, Scott and Rafique, M. Usman and Blanton, Hunter and Jacobs, Nathan}, title = {Revisiting Near/Remote Sensing With Geospatial Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1778-1787} }

Joint Global and Local Hierarchical Priors for Learned Image Compression

Jun-Hyuk Kim,

Byeongho Heo,

Jong-Seok Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Jun-Hyuk and Heo, Byeongho and Lee, Jong-Seok}, title = {Joint Global and Local Hierarchical Priors for Learned Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5992-6001} }

Knowledge Distillation via the Target-Aware Transformer

Sihao Lin,

Hongwei Xie,

Bing Wang,

Kaicheng Yu,

Xiaojun Chang,

Xiaodan Liang,

Gang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Sihao and Xie, Hongwei and Wang, Bing and Yu, Kaicheng and Chang, Xiaojun and Liang, Xiaodan and Wang, Gang}, title = {Knowledge Distillation via the Target-Aware Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10915-10924} }

Recurring the Transformer for Video Action Recognition

Jiewen Yang,

Xingbo Dong,

Liujun Liu,

Chao Zhang,

Jiajun Shen,

Dahai Yu

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Jiewen and Dong, Xingbo and Liu, Liujun and Zhang, Chao and Shen, Jiajun and Yu, Dahai}, title = {Recurring the Transformer for Video Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14063-14073} }

Subspace Adversarial Training

Tao Li,

Yingwen Wu,

Sizhe Chen,

Kun Fang,

Xiaolin Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Tao and Wu, Yingwen and Chen, Sizhe and Fang, Kun and Huang, Xiaolin}, title = {Subspace Adversarial Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13409-13418} }

3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection

Alexander Lehner,

Stefano Gasperini,

Alvaro Marcos-Ramiro,

Michael Schmidt,

Mohammad-Ali Nikouei Mahani,

Nassir Navab,

Benjamin Busam,

Federico Tombari

[pdf] [supp]

[bibtex]

@InProceedings{Lehner_2022_CVPR, author = {Lehner, Alexander and Gasperini, Stefano and Marcos-Ramiro, Alvaro and Schmidt, Michael and Mahani, Mohammad-Ali Nikouei and Navab, Nassir and Busam, Benjamin and Tombari, Federico}, title = {3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17295-17304} }

Image Segmentation Using Text and Image Prompts

Timo Lüddecke,

Alexander Ecker

[pdf] [supp]

[bibtex]

@InProceedings{Luddecke_2022_CVPR, author = {L\"uddecke, Timo and Ecker, Alexander}, title = {Image Segmentation Using Text and Image Prompts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7086-7096} }

AutoMine: An Unmanned Mine Dataset

Yuchen Li,

Zixuan Li,

Siyu Teng,

Yu Zhang,

Yuhang Zhou,

Yuchang Zhu,

Dongpu Cao,

Bin Tian,

Yunfeng Ai,

Zhe Xuanyuan,

Long Chen

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yuchen and Li, Zixuan and Teng, Siyu and Zhang, Yu and Zhou, Yuhang and Zhu, Yuchang and Cao, Dongpu and Tian, Bin and Ai, Yunfeng and Xuanyuan, Zhe and Chen, Long}, title = {AutoMine: An Unmanned Mine Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21308-21317} }

Neural Data-Dependent Transform for Learned Image Compression

Dezhao Wang,

Wenhan Yang,

Yueyu Hu,

Jiaying Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Dezhao and Yang, Wenhan and Hu, Yueyu and Liu, Jiaying}, title = {Neural Data-Dependent Transform for Learned Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17379-17388} }

Background Activation Suppression for Weakly Supervised Object Localization

Pingyu Wu,

Wei Zhai,

Yang Cao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Pingyu and Zhai, Wei and Cao, Yang}, title = {Background Activation Suppression for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14248-14257} }

How Many Observations Are Enough? Knowledge Distillation for Trajectory Forecasting

Alessio Monti,

Angelo Porrello,

Simone Calderara,

Pasquale Coscia,

Lamberto Ballan,

Rita Cucchiara

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Monti_2022_CVPR, author = {Monti, Alessio and Porrello, Angelo and Calderara, Simone and Coscia, Pasquale and Ballan, Lamberto and Cucchiara, Rita}, title = {How Many Observations Are Enough? Knowledge Distillation for Trajectory Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6553-6562} }

Evaluation-Oriented Knowledge Distillation for Deep Face Recognition

Yuge Huang,

Jiaxiang Wu,

Xingkun Xu,

Shouhong Ding

[pdf]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Yuge and Wu, Jiaxiang and Xu, Xingkun and Ding, Shouhong}, title = {Evaluation-Oriented Knowledge Distillation for Deep Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18740-18749} }

Improving Subgraph Recognition With Variational Graph Information Bottleneck

Junchi Yu,

Jie Cao,

Ran He

[pdf] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Junchi and Cao, Jie and He, Ran}, title = {Improving Subgraph Recognition With Variational Graph Information Bottleneck}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19396-19405} }

Slot-VPS: Object-Centric Representation Learning for Video Panoptic Segmentation

Yi Zhou,

Hui Zhang,

Hana Lee,

Shuyang Sun,

Pingjun Li,

Yangguang Zhu,

ByungIn Yoo,

Xiaojuan Qi,

Jae-Joon Han

[pdf] [supp]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Yi and Zhang, Hui and Lee, Hana and Sun, Shuyang and Li, Pingjun and Zhu, Yangguang and Yoo, ByungIn and Qi, Xiaojuan and Han, Jae-Joon}, title = {Slot-VPS: Object-Centric Representation Learning for Video Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3093-3103} }

Motion-From-Blur: 3D Shape and Motion Estimation of Motion-Blurred Objects in Videos

Denys Rozumnyi,

Martin R. Oswald,

Vittorio Ferrari,

Marc Pollefeys

[pdf] [supp]

[bibtex]

@InProceedings{Rozumnyi_2022_CVPR, author = {Rozumnyi, Denys and Oswald, Martin R. and Ferrari, Vittorio and Pollefeys, Marc}, title = {Motion-From-Blur: 3D Shape and Motion Estimation of Motion-Blurred Objects in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15990-15999} }

Efficient Video Instance Segmentation via Tracklet Query and Proposal

Jialian Wu,

Sudhir Yarram,

Hui Liang,

Tian Lan,

Junsong Yuan,

Jayan Eledath,

Gérard Medioni

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Jialian and Yarram, Sudhir and Liang, Hui and Lan, Tian and Yuan, Junsong and Eledath, Jayan and Medioni, G\'erard}, title = {Efficient Video Instance Segmentation via Tracklet Query and Proposal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {959-968} }

Synthetic Generation of Face Videos With Plethysmograph Physiology

Zhen Wang,

Yunhao Ba,

Pradyumna Chari,

Oyku Deniz Bozkurt,

Gianna Brown,

Parth Patwa,

Niranjan Vaddi,

Laleh Jalilian,

Achuta Kadambi

[pdf]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhen and Ba, Yunhao and Chari, Pradyumna and Bozkurt, Oyku Deniz and Brown, Gianna and Patwa, Parth and Vaddi, Niranjan and Jalilian, Laleh and Kadambi, Achuta}, title = {Synthetic Generation of Face Videos With Plethysmograph Physiology}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20587-20596} }

TransRAC: Encoding Multi-Scale Temporal Correlation With Transformers for Repetitive Action Counting

Huazhang Hu,

Sixun Dong,

Yiqun Zhao,

Dongze Lian,

Zhengxin Li,

Shenghua Gao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Huazhang and Dong, Sixun and Zhao, Yiqun and Lian, Dongze and Li, Zhengxin and Gao, Shenghua}, title = {TransRAC: Encoding Multi-Scale Temporal Correlation With Transformers for Repetitive Action Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19013-19022} }

Hallucinated Neural Radiance Fields in the Wild

Xingyu Chen,

Qi Zhang,

Xiaoyu Li,

Yue Chen,

Ying Feng,

Xuan Wang,

Jue Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Xingyu and Zhang, Qi and Li, Xiaoyu and Chen, Yue and Feng, Ying and Wang, Xuan and Wang, Jue}, title = {Hallucinated Neural Radiance Fields in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12943-12952} }

NeuralHDHair: Automatic High-Fidelity Hair Modeling From a Single Image Using Implicit Neural Representations

Keyu Wu,

Yifan Ye,

Lingchen Yang,

Hongbo Fu,

Kun Zhou,

Youyi Zheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Keyu and Ye, Yifan and Yang, Lingchen and Fu, Hongbo and Zhou, Kun and Zheng, Youyi}, title = {NeuralHDHair: Automatic High-Fidelity Hair Modeling From a Single Image Using Implicit Neural Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1526-1535} }

The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization

Zeyi Huang,

Haohan Wang,

Dong Huang,

Yong Jae Lee,

Eric P. Xing

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Zeyi and Wang, Haohan and Huang, Dong and Lee, Yong Jae and Xing, Eric P.}, title = {The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9631-9641} }

Global Tracking Transformers

Xingyi Zhou,

Tianwei Yin,

Vladlen Koltun,

Philipp Krähenbühl

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Xingyi and Yin, Tianwei and Koltun, Vladlen and Kr\"ahenb\"uhl, Philipp}, title = {Global Tracking Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8771-8780} }

Backdoor Attacks on Self-Supervised Learning

Aniruddha Saha,

Ajinkya Tejankar,

Soroush Abbasi Koohpayegani,

Hamed Pirsiavash

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Saha_2022_CVPR, author = {Saha, Aniruddha and Tejankar, Ajinkya and Koohpayegani, Soroush Abbasi and Pirsiavash, Hamed}, title = {Backdoor Attacks on Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13337-13346} }

Multimodal Token Fusion for Vision Transformers

Yikai Wang,

Xinghao Chen,

Lele Cao,

Wenbing Huang,

Fuchun Sun,

Yunhe Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yikai and Chen, Xinghao and Cao, Lele and Huang, Wenbing and Sun, Fuchun and Wang, Yunhe}, title = {Multimodal Token Fusion for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12186-12195} }

Exploring Frequency Adversarial Attacks for Face Forgery Detection

Shuai Jia,

Chao Ma,

Taiping Yao,

Bangjie Yin,

Shouhong Ding,

Xiaokang Yang

[pdf] [arXiv]

[bibtex]

@InProceedings{Jia_2022_CVPR, author = {Jia, Shuai and Ma, Chao and Yao, Taiping and Yin, Bangjie and Ding, Shouhong and Yang, Xiaokang}, title = {Exploring Frequency Adversarial Attacks for Face Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4103-4112} }

GMFlow: Learning Optical Flow via Global Matching

Haofei Xu,

Jing Zhang,

Jianfei Cai,

Hamid Rezatofighi,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Haofei and Zhang, Jing and Cai, Jianfei and Rezatofighi, Hamid and Tao, Dacheng}, title = {GMFlow: Learning Optical Flow via Global Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8121-8130} }

Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation

Xian Liu,

Qianyi Wu,

Hang Zhou,

Yinghao Xu,

Rui Qian,

Xinyi Lin,

Xiaowei Zhou,

Wayne Wu,

Bo Dai,

Bolei Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Xian and Wu, Qianyi and Zhou, Hang and Xu, Yinghao and Qian, Rui and Lin, Xinyi and Zhou, Xiaowei and Wu, Wayne and Dai, Bo and Zhou, Bolei}, title = {Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10462-10472} }

FLAVA: A Foundational Language and Vision Alignment Model

Amanpreet Singh,

Ronghang Hu,

Vedanuj Goswami,

Guillaume Couairon,

Wojciech Galuba,

Marcus Rohrbach,

Douwe Kiela

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Singh_2022_CVPR, author = {Singh, Amanpreet and Hu, Ronghang and Goswami, Vedanuj and Couairon, Guillaume and Galuba, Wojciech and Rohrbach, Marcus and Kiela, Douwe}, title = {FLAVA: A Foundational Language and Vision Alignment Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15638-15650} }

Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production

Ben Saunders,

Necati Cihan Camgoz,

Richard Bowden

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Saunders_2022_CVPR, author = {Saunders, Ben and Camgoz, Necati Cihan and Bowden, Richard}, title = {Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5141-5151} }

Explore Spatio-Temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline

Kailai Zhou,

Yibo Wang,

Tao Lv,

Yunqian Li,

Linsen Chen,

Qiu Shen,

Xun Cao

[pdf]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Kailai and Wang, Yibo and Lv, Tao and Li, Yunqian and Chen, Linsen and Shen, Qiu and Cao, Xun}, title = {Explore Spatio-Temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3104-3115} }

OCSampler: Compressing Videos to One Clip With Single-Step Sampling

Jintao Lin,

Haodong Duan,

Kai Chen,

Dahua Lin,

Limin Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Jintao and Duan, Haodong and Chen, Kai and Lin, Dahua and Wang, Limin}, title = {OCSampler: Compressing Videos to One Clip With Single-Step Sampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13894-13903} }

Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning

Qingsen Yan,

Dong Gong,

Yuhang Liu,

Anton van den Hengel,

Javen Qinfeng Shi

[pdf] [arXiv]

[bibtex]

@InProceedings{Yan_2022_CVPR, author = {Yan, Qingsen and Gong, Dong and Liu, Yuhang and van den Hengel, Anton and Shi, Javen Qinfeng}, title = {Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {109-118} }

Graph-Based Spatial Transformer With Memory Replay for Multi-Future Pedestrian Trajectory Prediction

Lihuan Li,

Maurice Pagnucco,

Yang Song

[pdf]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Lihuan and Pagnucco, Maurice and Song, Yang}, title = {Graph-Based Spatial Transformer With Memory Replay for Multi-Future Pedestrian Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2231-2241} }

Scanline Homographies for Rolling-Shutter Plane Absolute Pose

Fang Bai,

Agniva Sengupta,

Adrien Bartoli

[pdf] [supp]

[bibtex]

@InProceedings{Bai_2022_CVPR, author = {Bai, Fang and Sengupta, Agniva and Bartoli, Adrien}, title = {Scanline Homographies for Rolling-Shutter Plane Absolute Pose}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8993-9002} }

TableFormer: Table Structure Understanding With Transformers

Ahmed Nassar,

Nikolaos Livathinos,

Maksym Lysak,

Peter Staar

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nassar_2022_CVPR, author = {Nassar, Ahmed and Livathinos, Nikolaos and Lysak, Maksym and Staar, Peter}, title = {TableFormer: Table Structure Understanding With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4614-4623} }

Exemplar-Based Pattern Synthesis With Implicit Periodic Field Network

Haiwei Chen,

Jiayi Liu,

Weikai Chen,

Shichen Liu,

Yajie Zhao

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Haiwei and Liu, Jiayi and Chen, Weikai and Liu, Shichen and Zhao, Yajie}, title = {Exemplar-Based Pattern Synthesis With Implicit Periodic Field Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3708-3717} }

Grounded Language-Image Pre-Training

Liunian Harold Li,

Pengchuan Zhang,

Haotian Zhang,

Jianwei Yang,

Chunyuan Li,

Yiwu Zhong,

Lijuan Wang,

Lu Yuan,

Lei Zhang,

Jenq-Neng Hwang,

Kai-Wei Chang,

Jianfeng Gao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Liunian Harold and Zhang, Pengchuan and Zhang, Haotian and Yang, Jianwei and Li, Chunyuan and Zhong, Yiwu and Wang, Lijuan and Yuan, Lu and Zhang, Lei and Hwang, Jenq-Neng and Chang, Kai-Wei and Gao, Jianfeng}, title = {Grounded Language-Image Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10965-10975} }

Spectral Unsupervised Domain Adaptation for Visual Recognition

Jingyi Zhang,

Jiaxing Huang,

Zichen Tian,

Shijian Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jingyi and Huang, Jiaxing and Tian, Zichen and Lu, Shijian}, title = {Spectral Unsupervised Domain Adaptation for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9829-9840} }

AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-Time Image Enhancement

Canqian Yang,

Meiguang Jin,

Xu Jia,

Yi Xu,

Ying Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Canqian and Jin, Meiguang and Jia, Xu and Xu, Yi and Chen, Ying}, title = {AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-Time Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17522-17531} }

PatchFormer: An Efficient Point Transformer With Patch Attention

Cheng Zhang,

Haocheng Wan,

Xinyi Shen,

Zizhao Wu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Cheng and Wan, Haocheng and Shen, Xinyi and Wu, Zizhao}, title = {PatchFormer: An Efficient Point Transformer With Patch Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11799-11808} }

Recurrent Glimpse-Based Decoder for Detection With Transformer

Zhe Chen,

Jing Zhang,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Zhe and Zhang, Jing and Tao, Dacheng}, title = {Recurrent Glimpse-Based Decoder for Detection With Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5260-5269} }

Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction To Treat Diabetic Foot Ulcers

Han Joo Chae,

Seunghwan Lee,

Hyewon Son,

Seungyeob Han,

Taebin Lim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chae_2022_CVPR, author = {Chae, Han Joo and Lee, Seunghwan and Son, Hyewon and Han, Seungyeob and Lim, Taebin}, title = {Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction To Treat Diabetic Foot Ulcers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2539-2549} }

SimMIM: A Simple Framework for Masked Image Modeling

Zhenda Xie,

Zheng Zhang,

Yue Cao,

Yutong Lin,

Jianmin Bao,

Zhuliang Yao,

Qi Dai,

Han Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Zhenda and Zhang, Zheng and Cao, Yue and Lin, Yutong and Bao, Jianmin and Yao, Zhuliang and Dai, Qi and Hu, Han}, title = {SimMIM: A Simple Framework for Masked Image Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9653-9663} }

OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion

Yuyan Li,

Yuliang Guo,

Zhixin Yan,

Xinyu Huang,

Ye Duan,

Liu Ren

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yuyan and Guo, Yuliang and Yan, Zhixin and Huang, Xinyu and Duan, Ye and Ren, Liu}, title = {OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2801-2810} }

Label Matching Semi-Supervised Object Detection

Binbin Chen,

Weijie Chen,

Shicai Yang,

Yunyi Xuan,

Jie Song,

Di Xie,

Shiliang Pu,

Mingli Song,

Yueting Zhuang

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Binbin and Chen, Weijie and Yang, Shicai and Xuan, Yunyi and Song, Jie and Xie, Di and Pu, Shiliang and Song, Mingli and Zhuang, Yueting}, title = {Label Matching Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14381-14390} }

RegionCLIP: Region-Based Language-Image Pretraining

Yiwu Zhong,

Jianwei Yang,

Pengchuan Zhang,

Chunyuan Li,

Noel Codella,

Liunian Harold Li,

Luowei Zhou,

Xiyang Dai,

Lu Yuan,

Yin Li,

Jianfeng Gao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhong_2022_CVPR, author = {Zhong, Yiwu and Yang, Jianwei and Zhang, Pengchuan and Li, Chunyuan and Codella, Noel and Li, Liunian Harold and Zhou, Luowei and Dai, Xiyang and Yuan, Lu and Li, Yin and Gao, Jianfeng}, title = {RegionCLIP: Region-Based Language-Image Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16793-16803} }

Video Frame Interpolation Transformer

Zhihao Shi,

Xiangyu Xu,

Xiaohong Liu,

Jun Chen,

Ming-Hsuan Yang

[pdf] [arXiv]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Zhihao and Xu, Xiangyu and Liu, Xiaohong and Chen, Jun and Yang, Ming-Hsuan}, title = {Video Frame Interpolation Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17482-17491} }

An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation

Cheng-Kun Yang,

Ji-Jia Wu,

Kai-Syun Chen,

Yung-Yu Chuang,

Yen-Yu Lin

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Cheng-Kun and Wu, Ji-Jia and Chen, Kai-Syun and Chuang, Yung-Yu and Lin, Yen-Yu}, title = {An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11830-11839} }

Fast Light-Weight Near-Field Photometric Stereo

Daniel Lichy,

Soumyadip Sengupta,

David W. Jacobs

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lichy_2022_CVPR, author = {Lichy, Daniel and Sengupta, Soumyadip and Jacobs, David W.}, title = {Fast Light-Weight Near-Field Photometric Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12612-12621} }

BCOT: A Markerless High-Precision 3D Object Tracking Benchmark

Jiachen Li,

Bin Wang,

Shiqiang Zhu,

Xin Cao,

Fan Zhong,

Wenxuan Chen,

Te Li,

Jason Gu,

Xueying Qin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jiachen and Wang, Bin and Zhu, Shiqiang and Cao, Xin and Zhong, Fan and Chen, Wenxuan and Li, Te and Gu, Jason and Qin, Xueying}, title = {BCOT: A Markerless High-Precision 3D Object Tracking Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6697-6706} }

Omni-DETR: Omni-Supervised Object Detection With Transformers

Pei Wang,

Zhaowei Cai,

Hao Yang,

Gurumurthy Swaminathan,

Nuno Vasconcelos,

Bernt Schiele,

Stefano Soatto

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Pei and Cai, Zhaowei and Yang, Hao and Swaminathan, Gurumurthy and Vasconcelos, Nuno and Schiele, Bernt and Soatto, Stefano}, title = {Omni-DETR: Omni-Supervised Object Detection With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9367-9376} }

Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching

Donghun Kang,

Hyeonjoong Jang,

Jungeon Lee,

Chong-Min Kyung,

Min H. Kim

[pdf] [supp]

[bibtex]

@InProceedings{Kang_2022_CVPR, author = {Kang, Donghun and Jang, Hyeonjoong and Lee, Jungeon and Kyung, Chong-Min and Kim, Min H.}, title = {Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12972-12980} }

High-Resolution Image Synthesis With Latent Diffusion Models

Robin Rombach,

Andreas Blattmann,

Dominik Lorenz,

Patrick Esser,

Björn Ommer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rombach_2022_CVPR, author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj\"orn}, title = {High-Resolution Image Synthesis With Latent Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10684-10695} }

Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations

Junhao Dong,

Yuan Wang,

Jian-Huang Lai,

Xiaohua Xie

[pdf]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Junhao and Wang, Yuan and Lai, Jian-Huang and Xie, Xiaohua}, title = {Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9025-9034} }

CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping

Jilan Xu,

Junlin Hou,

Yuejie Zhang,

Rui Feng,

Rui-Wei Zhao,

Tao Zhang,

Xuequan Lu,

Shang Gao

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Jilan and Hou, Junlin and Zhang, Yuejie and Feng, Rui and Zhao, Rui-Wei and Zhang, Tao and Lu, Xuequan and Gao, Shang}, title = {CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9437-9446} }

Semi-Weakly-Supervised Learning of Complex Actions From Instructional Task Videos

Yuhan Shen,

Ehsan Elhamifar

[pdf] [supp]

[bibtex]

@InProceedings{Shen_2022_CVPR, author = {Shen, Yuhan and Elhamifar, Ehsan}, title = {Semi-Weakly-Supervised Learning of Complex Actions From Instructional Task Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3344-3354} }

APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers

Jiahao Lu,

Xi Sheryl Zhang,

Tianli Zhao,

Xiangyu He,

Jian Cheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lu_2022_CVPR, author = {Lu, Jiahao and Zhang, Xi Sheryl and Zhao, Tianli and He, Xiangyu and Cheng, Jian}, title = {APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10051-10060} }

Text Spotting Transformers

Xiang Zhang,

Yongwen Su,

Subarna Tripathi,

Zhuowen Tu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Xiang and Su, Yongwen and Tripathi, Subarna and Tu, Zhuowen}, title = {Text Spotting Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9519-9528} }

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Jonathan T. Barron,

Ben Mildenhall,

Dor Verbin,

Pratul P. Srinivasan,

Peter Hedman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Barron_2022_CVPR, author = {Barron, Jonathan T. and Mildenhall, Ben and Verbin, Dor and Srinivasan, Pratul P. and Hedman, Peter}, title = {Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5470-5479} }

VALHALLA: Visual Hallucination for Machine Translation

Yi Li,

Rameswar Panda,

Yoon Kim,

Chun-Fu (Richard) Chen,

Rogerio S. Feris,

David Cox,

Nuno Vasconcelos

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yi and Panda, Rameswar and Kim, Yoon and Chen, Chun-Fu (Richard) and Feris, Rogerio S. and Cox, David and Vasconcelos, Nuno}, title = {VALHALLA: Visual Hallucination for Machine Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5216-5226} }

StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation

Roy Or-El,

Xuan Luo,

Mengyi Shan,

Eli Shechtman,

Jeong Joon Park,

Ira Kemelmacher-Shlizerman

[pdf] [supp]

[bibtex]

@InProceedings{Or-El_2022_CVPR, author = {Or-El, Roy and Luo, Xuan and Shan, Mengyi and Shechtman, Eli and Park, Jeong Joon and Kemelmacher-Shlizerman, Ira}, title = {StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13503-13513} }

Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment

Yue Cao,

Zhaolin Wan,

Dongwei Ren,

Zifei Yan,

Wangmeng Zuo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Yue and Wan, Zhaolin and Ren, Dongwei and Yan, Zifei and Zuo, Wangmeng}, title = {Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5851-5861} }

GLAMR: Global Occlusion-Aware Human Mesh Recovery With Dynamic Cameras

Ye Yuan,

Umar Iqbal,

Pavlo Molchanov,

Kris Kitani,

Jan Kautz

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yuan_2022_CVPR, author = {Yuan, Ye and Iqbal, Umar and Molchanov, Pavlo and Kitani, Kris and Kautz, Jan}, title = {GLAMR: Global Occlusion-Aware Human Mesh Recovery With Dynamic Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11038-11049} }

HINT: Hierarchical Neuron Concept Explainer

Andong Wang,

Wei-Ning Lee,

Xiaojuan Qi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Andong and Lee, Wei-Ning and Qi, Xiaojuan}, title = {HINT: Hierarchical Neuron Concept Explainer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10254-10264} }

Capturing and Inferring Dense Full-Body Human-Scene Contact

Chun-Hao P. Huang,

Hongwei Yi,

Markus Höschle,

Matvey Safroshkin,

Tsvetelina Alexiadis,

Senya Polikovsky,

Daniel Scharstein,

Michael J. Black

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Chun-Hao P. and Yi, Hongwei and H\"oschle, Markus and Safroshkin, Matvey and Alexiadis, Tsvetelina and Polikovsky, Senya and Scharstein, Daniel and Black, Michael J.}, title = {Capturing and Inferring Dense Full-Body Human-Scene Contact}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13274-13285} }

Advancing High-Resolution Video-Language Representation With Large-Scale Video Transcriptions

Hongwei Xue,

Tiankai Hang,

Yanhong Zeng,

Yuchong Sun,

Bei Liu,

Huan Yang,

Jianlong Fu,

Baining Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xue_2022_CVPR, author = {Xue, Hongwei and Hang, Tiankai and Zeng, Yanhong and Sun, Yuchong and Liu, Bei and Yang, Huan and Fu, Jianlong and Guo, Baining}, title = {Advancing High-Resolution Video-Language Representation With Large-Scale Video Transcriptions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5036-5045} }

Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection

Jinyuan Liu,

Xin Fan,

Zhanbo Huang,

Guanyao Wu,

Risheng Liu,

Wei Zhong,

Zhongxuan Luo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Jinyuan and Fan, Xin and Huang, Zhanbo and Wu, Guanyao and Liu, Risheng and Zhong, Wei and Luo, Zhongxuan}, title = {Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5802-5811} }

En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning

Xia Kong,

Zuodong Gao,

Xiaofan Li,

Ming Hong,

Jun Liu,

Chengjie Wang,

Yuan Xie,

Yanyun Qu

[pdf] [supp]

[bibtex]

@InProceedings{Kong_2022_CVPR, author = {Kong, Xia and Gao, Zuodong and Li, Xiaofan and Hong, Ming and Liu, Jun and Wang, Chengjie and Xie, Yuan and Qu, Yanyun}, title = {En-Compactness: Self-Distillation Embedding \& Contrastive Generation for Generalized Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9306-9315} }

Neural Face Identification in a 2D Wireframe Projection of a Manifold Object

Kehan Wang,

Jia Zheng,

Zihan Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Kehan and Zheng, Jia and Zhou, Zihan}, title = {Neural Face Identification in a 2D Wireframe Projection of a Manifold Object}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1622-1631} }

LC-FDNet: Learned Lossless Image Compression With Frequency Decomposition Network

Hochang Rhee,

Yeong Il Jang,

Seyun Kim,

Nam Ik Cho

[pdf] [supp]

[bibtex]

@InProceedings{Rhee_2022_CVPR, author = {Rhee, Hochang and Jang, Yeong Il and Kim, Seyun and Cho, Nam Ik}, title = {LC-FDNet: Learned Lossless Image Compression With Frequency Decomposition Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6033-6042} }

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation

Zechun Liu,

Kwang-Ting Cheng,

Dong Huang,

Eric P. Xing,

Zhiqiang Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Zechun and Cheng, Kwang-Ting and Huang, Dong and Xing, Eric P. and Shen, Zhiqiang}, title = {Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4942-4952} }

Deep Rectangling for Image Stitching: A Learning Baseline

Lang Nie,

Chunyu Lin,

Kang Liao,

Shuaicheng Liu,

Yao Zhao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nie_2022_CVPR, author = {Nie, Lang and Lin, Chunyu and Liao, Kang and Liu, Shuaicheng and Zhao, Yao}, title = {Deep Rectangling for Image Stitching: A Learning Baseline}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5740-5748} }

PCL: Proxy-Based Contrastive Learning for Domain Generalization

Xufeng Yao,

Yang Bai,

Xinyun Zhang,

Yuechen Zhang,

Qi Sun,

Ran Chen,

Ruiyu Li,

Bei Yu

[pdf] [supp]

[bibtex]

@InProceedings{Yao_2022_CVPR, author = {Yao, Xufeng and Bai, Yang and Zhang, Xinyun and Zhang, Yuechen and Sun, Qi and Chen, Ran and Li, Ruiyu and Yu, Bei}, title = {PCL: Proxy-Based Contrastive Learning for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7097-7107} }

SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation With Learnt Surface Embeddings

Rasmus Laurvig Haugaard,

Anders Glent Buch

[pdf] [arXiv]

[bibtex]

@InProceedings{Haugaard_2022_CVPR, author = {Haugaard, Rasmus Laurvig and Buch, Anders Glent}, title = {SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation With Learnt Surface Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6749-6758} }

Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation

Naofumi Akimoto,

Yuhi Matsuo,

Yoshimitsu Aoki

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Akimoto_2022_CVPR, author = {Akimoto, Naofumi and Matsuo, Yuhi and Aoki, Yoshimitsu}, title = {Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11441-11450} }

Learning 3D Object Shape and Layout Without 3D Supervision

Georgia Gkioxari,

Nikhila Ravi,

Justin Johnson

[pdf] [supp]

[bibtex]

@InProceedings{Gkioxari_2022_CVPR, author = {Gkioxari, Georgia and Ravi, Nikhila and Johnson, Justin}, title = {Learning 3D Object Shape and Layout Without 3D Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1695-1704} }

An Empirical Study of End-to-End Temporal Action Detection

Xiaolong Liu,

Song Bai,

Xiang Bai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Xiaolong and Bai, Song and Bai, Xiang}, title = {An Empirical Study of End-to-End Temporal Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20010-20019} }

SimVP: Simpler Yet Better Video Prediction

Zhangyang Gao,

Cheng Tan,

Lirong Wu,

Stan Z. Li

[pdf] [supp]

[bibtex]

@InProceedings{Gao_2022_CVPR, author = {Gao, Zhangyang and Tan, Cheng and Wu, Lirong and Li, Stan Z.}, title = {SimVP: Simpler Yet Better Video Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3170-3180} }

Object Localization Under Single Coarse Point Supervision

Xuehui Yu,

Pengfei Chen,

Di Wu,

Najmul Hassan,

Guorong Li,

Junchi Yan,

Humphrey Shi,

Qixiang Ye,

Zhenjun Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Xuehui and Chen, Pengfei and Wu, Di and Hassan, Najmul and Li, Guorong and Yan, Junchi and Shi, Humphrey and Ye, Qixiang and Han, Zhenjun}, title = {Object Localization Under Single Coarse Point Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4868-4877} }

Unsupervised Learning of Accurate Siamese Tracking

Qiuhong Shen,

Lei Qiao,

Jinyang Guo,

Peixia Li,

Xin Li,

Bo Li,

Weitao Feng,

Weihao Gan,

Wei Wu,

Wanli Ouyang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shen_2022_CVPR, author = {Shen, Qiuhong and Qiao, Lei and Guo, Jinyang and Li, Peixia and Li, Xin and Li, Bo and Feng, Weitao and Gan, Weihao and Wu, Wei and Ouyang, Wanli}, title = {Unsupervised Learning of Accurate Siamese Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8101-8110} }

Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection

Hitesh Sapkota,

Qi Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sapkota_2022_CVPR, author = {Sapkota, Hitesh and Yu, Qi}, title = {Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3212-3221} }

Brain-Supervised Image Editing

Keith M. Davis III,

Carlos de la Torre-Ortiz,

Tuukka Ruotsalo

[pdf] [supp]

[bibtex]

@InProceedings{Davis_2022_CVPR, author = {Davis, III, Keith M. and de la Torre-Ortiz, Carlos and Ruotsalo, Tuukka}, title = {Brain-Supervised Image Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18480-18489} }

3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces

Simone Foti,

Bongjin Koo,

Danail Stoyanov,

Matthew J. Clarkson

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Foti_2022_CVPR, author = {Foti, Simone and Koo, Bongjin and Stoyanov, Danail and Clarkson, Matthew J.}, title = {3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18730-18739} }

Unified Transformer Tracker for Object Tracking

Fan Ma,

Mike Zheng Shou,

Linchao Zhu,

Haoqi Fan,

Yilei Xu,

Yi Yang,

Zhicheng Yan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Fan and Shou, Mike Zheng and Zhu, Linchao and Fan, Haoqi and Xu, Yilei and Yang, Yi and Yan, Zhicheng}, title = {Unified Transformer Tracker for Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8781-8790} }

Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo

Jiayu Yang,

Jose M. Alvarez,

Miaomiao Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Jiayu and Alvarez, Jose M. and Liu, Miaomiao}, title = {Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8626-8634} }

Equalized Focal Loss for Dense Long-Tailed Object Detection

Bo Li,

Yongqiang Yao,

Jingru Tan,

Gang Zhang,

Fengwei Yu,

Jianwei Lu,

Ye Luo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Bo and Yao, Yongqiang and Tan, Jingru and Zhang, Gang and Yu, Fengwei and Lu, Jianwei and Luo, Ye}, title = {Equalized Focal Loss for Dense Long-Tailed Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6990-6999} }

Generating High Fidelity Data From Low-Density Regions Using Diffusion Models

Vikash Sehwag,

Caner Hazirbas,

Albert Gordo,

Firat Ozgenel,

Cristian Canton

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sehwag_2022_CVPR, author = {Sehwag, Vikash and Hazirbas, Caner and Gordo, Albert and Ozgenel, Firat and Canton, Cristian}, title = {Generating High Fidelity Data From Low-Density Regions Using Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11492-11501} }

DeepDPM: Deep Clustering With an Unknown Number of Clusters

Meitar Ronen,

Shahaf E. Finder,

Oren Freifeld

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ronen_2022_CVPR, author = {Ronen, Meitar and Finder, Shahaf E. and Freifeld, Oren}, title = {DeepDPM: Deep Clustering With an Unknown Number of Clusters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9861-9870} }

Spiking Transformers for Event-Based Single Object Tracking

Jiqing Zhang,

Bo Dong,

Haiwei Zhang,

Jianchuan Ding,

Felix Heide,

Baocai Yin,

Xin Yang

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jiqing and Dong, Bo and Zhang, Haiwei and Ding, Jianchuan and Heide, Felix and Yin, Baocai and Yang, Xin}, title = {Spiking Transformers for Event-Based Single Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8801-8810} }

FocalClick: Towards Practical Interactive Image Segmentation

Xi Chen,

Zhiyan Zhao,

Yilei Zhang,

Manni Duan,

Donglian Qi,

Hengshuang Zhao

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Xi and Zhao, Zhiyan and Zhang, Yilei and Duan, Manni and Qi, Donglian and Zhao, Hengshuang}, title = {FocalClick: Towards Practical Interactive Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1300-1309} }

ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-High Resolution Segmentation

Shaohua Guo,

Liang Liu,

Zhenye Gan,

Yabiao Wang,

Wuhao Zhang,

Chengjie Wang,

Guannan Jiang,

Wei Zhang,

Ran Yi,

Lizhuang Ma,

Ke Xu

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Shaohua and Liu, Liang and Gan, Zhenye and Wang, Yabiao and Zhang, Wuhao and Wang, Chengjie and Jiang, Guannan and Zhang, Wei and Yi, Ran and Ma, Lizhuang and Xu, Ke}, title = {ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-High Resolution Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4361-4370} }

Unsupervised Domain Adaptation for Nighttime Aerial Tracking

Junjie Ye,

Changhong Fu,

Guangze Zheng,

Danda Pani Paudel,

Guang Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Junjie and Fu, Changhong and Zheng, Guangze and Paudel, Danda Pani and Chen, Guang}, title = {Unsupervised Domain Adaptation for Nighttime Aerial Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8896-8905} }

Balanced Multimodal Learning via On-the-Fly Gradient Modulation

Xiaokang Peng,

Yake Wei,

Andong Deng,

Dong Wang,

Di Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Peng_2022_CVPR, author = {Peng, Xiaokang and Wei, Yake and Deng, Andong and Wang, Dong and Hu, Di}, title = {Balanced Multimodal Learning via On-the-Fly Gradient Modulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8238-8247} }

RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs

Zhouxia Wang,

Jiawei Zhang,

Runjian Chen,

Wenping Wang,

Ping Luo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhouxia and Zhang, Jiawei and Chen, Runjian and Wang, Wenping and Luo, Ping}, title = {RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17512-17521} }

Understanding Uncertainty Maps in Vision With Statistical Testing

Jurijs Nazarovs,

Zhichun Huang,

Songwong Tasneeyapant,

Rudrasis Chakraborty,

Vikas Singh

[pdf] [supp]

[bibtex]

@InProceedings{Nazarovs_2022_CVPR, author = {Nazarovs, Jurijs and Huang, Zhichun and Tasneeyapant, Songwong and Chakraborty, Rudrasis and Singh, Vikas}, title = {Understanding Uncertainty Maps in Vision With Statistical Testing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {406-416} }

CAFE: Learning To Condense Dataset by Aligning Features

Kai Wang,

Bo Zhao,

Xiangyu Peng,

Zheng Zhu,

Shuo Yang,

Shuo Wang,

Guan Huang,

Hakan Bilen,

Xinchao Wang,

Yang You

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Kai and Zhao, Bo and Peng, Xiangyu and Zhu, Zheng and Yang, Shuo and Wang, Shuo and Huang, Guan and Bilen, Hakan and Wang, Xinchao and You, Yang}, title = {CAFE: Learning To Condense Dataset by Aligning Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12196-12205} }

Causality Inspired Representation Learning for Domain Generalization

Fangrui Lv,

Jian Liang,

Shuang Li,

Bin Zang,

Chi Harold Liu,

Ziteng Wang,

Di Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lv_2022_CVPR, author = {Lv, Fangrui and Liang, Jian and Li, Shuang and Zang, Bin and Liu, Chi Harold and Wang, Ziteng and Liu, Di}, title = {Causality Inspired Representation Learning for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8046-8056} }

Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction

Yuanhao Cai,

Jing Lin,

Xiaowan Hu,

Haoqian Wang,

Xin Yuan,

Yulun Zhang,

Radu Timofte,

Luc Van Gool

[pdf] [arXiv]

[bibtex]

@InProceedings{Cai_2022_CVPR, author = {Cai, Yuanhao and Lin, Jing and Hu, Xiaowan and Wang, Haoqian and Yuan, Xin and Zhang, Yulun and Timofte, Radu and Van Gool, Luc}, title = {Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17502-17511} }

A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration

Daniel Grzech,

Mohammad Farid Azampour,

Ben Glocker,

Julia Schnabel,

Nassir Navab,

Bernhard Kainz,

Loïc Le Folgoc

[pdf]

[bibtex]

@InProceedings{Grzech_2022_CVPR, author = {Grzech, Daniel and Azampour, Mohammad Farid and Glocker, Ben and Schnabel, Julia and Navab, Nassir and Kainz, Bernhard and Le Folgoc, Lo{\"\i}c}, title = {A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {119-128} }

Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency

Yanan Gu,

Xu Yang,

Kun Wei,

Cheng Deng

[pdf]

[bibtex]

@InProceedings{Gu_2022_CVPR, author = {Gu, Yanan and Yang, Xu and Wei, Kun and Deng, Cheng}, title = {Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7442-7451} }

PPDL: Predicate Probability Distribution Based Loss for Unbiased Scene Graph Generation

Wei Li,

Haiwei Zhang,

Qijie Bai,

Guoqing Zhao,

Ning Jiang,

Xiaojie Yuan

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Wei and Zhang, Haiwei and Bai, Qijie and Zhao, Guoqing and Jiang, Ning and Yuan, Xiaojie}, title = {PPDL: Predicate Probability Distribution Based Loss for Unbiased Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19447-19456} }

Block-NeRF: Scalable Large Scene Neural View Synthesis

Matthew Tancik,

Vincent Casser,

Xinchen Yan,

Sabeek Pradhan,

Ben Mildenhall,

Pratul P. Srinivasan,

Jonathan T. Barron,

Henrik Kretzschmar

[pdf] [supp]

[bibtex]

@InProceedings{Tancik_2022_CVPR, author = {Tancik, Matthew and Casser, Vincent and Yan, Xinchen and Pradhan, Sabeek and Mildenhall, Ben and Srinivasan, Pratul P. and Barron, Jonathan T. and Kretzschmar, Henrik}, title = {Block-NeRF: Scalable Large Scene Neural View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8248-8258} }

Coupling Vision and Proprioception for Navigation of Legged Robots

Zipeng Fu,

Ashish Kumar,

Ananye Agarwal,

Haozhi Qi,

Jitendra Malik,

Deepak Pathak

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fu_2022_CVPR, author = {Fu, Zipeng and Kumar, Ashish and Agarwal, Ananye and Qi, Haozhi and Malik, Jitendra and Pathak, Deepak}, title = {Coupling Vision and Proprioception for Navigation of Legged Robots}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17273-17283} }

Fine-Grained Predicates Learning for Scene Graph Generation

Xinyu Lyu,

Lianli Gao,

Yuyu Guo,

Zhou Zhao,

Hao Huang,

Heng Tao Shen,

Jingkuan Song

[pdf] [arXiv]

[bibtex]

@InProceedings{Lyu_2022_CVPR, author = {Lyu, Xinyu and Gao, Lianli and Guo, Yuyu and Zhao, Zhou and Huang, Hao and Shen, Heng Tao and Song, Jingkuan}, title = {Fine-Grained Predicates Learning for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19467-19475} }

Generalized Few-Shot Semantic Segmentation

Zhuotao Tian,

Xin Lai,

Li Jiang,

Shu Liu,

Michelle Shu,

Hengshuang Zhao,

Jiaya Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tian_2022_CVPR, author = {Tian, Zhuotao and Lai, Xin and Jiang, Li and Liu, Shu and Shu, Michelle and Zhao, Hengshuang and Jia, Jiaya}, title = {Generalized Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11563-11572} }

Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation

Guanting Dong,

Yueyi Zhang,

Hanlin Li,

Xiaoyan Sun,

Zhiwei Xiong

[pdf] [supp]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Guanting and Zhang, Yueyi and Li, Hanlin and Sun, Xiaoyan and Xiong, Zhiwei}, title = {Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12776-12785} }

Neural Head Avatars From Monocular RGB Videos

Philip-William Grassal,

Malte Prinzler,

Titus Leistner,

Carsten Rother,

Matthias Nießner,

Justus Thies

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Grassal_2022_CVPR, author = {Grassal, Philip-William and Prinzler, Malte and Leistner, Titus and Rother, Carsten and Nie{\ss}ner, Matthias and Thies, Justus}, title = {Neural Head Avatars From Monocular RGB Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18653-18664} }

B-Cos Networks: Alignment Is All We Need for Interpretability

Moritz Böhle,

Mario Fritz,

Bernt Schiele

[pdf] [supp]

[bibtex]

@InProceedings{Bohle_2022_CVPR, author = {B\"ohle, Moritz and Fritz, Mario and Schiele, Bernt}, title = {B-Cos Networks: Alignment Is All We Need for Interpretability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10329-10338} }

EMOCA: Emotion Driven Monocular Face Capture and Animation

Radek Daněček,

Michael J. Black,

Timo Bolkart

[pdf] [supp]

[bibtex]

@InProceedings{Danecek_2022_CVPR, author = {Dan\v{e}\v{c}ek, Radek and Black, Michael J. and Bolkart, Timo}, title = {EMOCA: Emotion Driven Monocular Face Capture and Animation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20311-20322} }

Burst Image Restoration and Enhancement

Akshay Dudhane,

Syed Waqas Zamir,

Salman Khan,

Fahad Shahbaz Khan,

Ming-Hsuan Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dudhane_2022_CVPR, author = {Dudhane, Akshay and Zamir, Syed Waqas and Khan, Salman and Khan, Fahad Shahbaz and Yang, Ming-Hsuan}, title = {Burst Image Restoration and Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5759-5768} }

What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors

Christos Matsoukas,

Johan Fredin Haslum,

Moein Sorkhei,

Magnus Söderberg,

Kevin Smith

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Matsoukas_2022_CVPR, author = {Matsoukas, Christos and Haslum, Johan Fredin and Sorkhei, Moein and S\"oderberg, Magnus and Smith, Kevin}, title = {What Makes Transfer Learning Work for Medical Images: Feature Reuse \& Other Factors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9225-9234} }

Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis

Jingbo Wang,

Yu Rong,

Jingyuan Liu,

Sijie Yan,

Dahua Lin,

Bo Dai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jingbo and Rong, Yu and Liu, Jingyuan and Yan, Sijie and Lin, Dahua and Dai, Bo}, title = {Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20460-20469} }

Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free

Tianlong Chen,

Zhenyu Zhang,

Yihua Zhang,

Shiyu Chang,

Sijia Liu,

Zhangyang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Tianlong and Zhang, Zhenyu and Zhang, Yihua and Chang, Shiyu and Liu, Sijia and Wang, Zhangyang}, title = {Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {598-609} }

Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis

Karren Yang,

Dejan Marković,

Steven Krenn,

Vasu Agrawal,

Alexander Richard

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Karren and Markovi\'c, Dejan and Krenn, Steven and Agrawal, Vasu and Richard, Alexander}, title = {Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8227-8237} }

Localized Adversarial Domain Generalization

Wei Zhu,

Le Lu,

Jing Xiao,

Mei Han,

Jiebo Luo,

Adam P. Harrison

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Wei and Lu, Le and Xiao, Jing and Han, Mei and Luo, Jiebo and Harrison, Adam P.}, title = {Localized Adversarial Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7108-7118} }

X-Trans2Cap: Cross-Modal Knowledge Transfer Using Transformer for 3D Dense Captioning

Zhihao Yuan,

Xu Yan,

Yinghong Liao,

Yao Guo,

Guanbin Li,

Shuguang Cui,

Zhen Li

[pdf] [supp]

[bibtex]

@InProceedings{Yuan_2022_CVPR, author = {Yuan, Zhihao and Yan, Xu and Liao, Yinghong and Guo, Yao and Li, Guanbin and Cui, Shuguang and Li, Zhen}, title = {X-Trans2Cap: Cross-Modal Knowledge Transfer Using Transformer for 3D Dense Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8563-8573} }

How Much Does Input Data Type Impact Final Face Model Accuracy?

Jiahao Luo,

Fahim Hasan Khan,

Issei Mori,

Akila de Silva,

Eric Sandoval Ruezga,

Minghao Liu,

Alex Pang,

James Davis

[pdf] [supp]

[bibtex]

@InProceedings{Luo_2022_CVPR, author = {Luo, Jiahao and Khan, Fahim Hasan and Mori, Issei and de Silva, Akila and Ruezga, Eric Sandoval and Liu, Minghao and Pang, Alex and Davis, James}, title = {How Much Does Input Data Type Impact Final Face Model Accuracy?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18985-18994} }

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data

Corentin Sautier,

Gilles Puy,

Spyros Gidaris,

Alexandre Boulch,

Andrei Bursuc,

Renaud Marlet

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sautier_2022_CVPR, author = {Sautier, Corentin and Puy, Gilles and Gidaris, Spyros and Boulch, Alexandre and Bursuc, Andrei and Marlet, Renaud}, title = {Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9891-9901} }

HumanNeRF: Free-Viewpoint Rendering of Moving People From Monocular Video

Chung-Yi Weng,

Brian Curless,

Pratul P. Srinivasan,

Jonathan T. Barron,

Ira Kemelmacher-Shlizerman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Weng_2022_CVPR, author = {Weng, Chung-Yi and Curless, Brian and Srinivasan, Pratul P. and Barron, Jonathan T. and Kemelmacher-Shlizerman, Ira}, title = {HumanNeRF: Free-Viewpoint Rendering of Moving People From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16210-16220} }

PoseKernelLifter: Metric Lifting of 3D Human Pose Using Sound

Zhijian Yang,

Xiaoran Fan,

Volkan Isler,

Hyun Soo Park

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Zhijian and Fan, Xiaoran and Isler, Volkan and Park, Hyun Soo}, title = {PoseKernelLifter: Metric Lifting of 3D Human Pose Using Sound}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13179-13189} }

Which Images To Label for Few-Shot Medical Landmark Detection?

Quan Quan,

Qingsong Yao,

Jun Li,

S. Kevin Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Quan_2022_CVPR, author = {Quan, Quan and Yao, Qingsong and Li, Jun and Zhou, S. Kevin}, title = {Which Images To Label for Few-Shot Medical Landmark Detection?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20606-20616} }

Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis

Jiajing Chen,

Burak Kakillioglu,

Huantao Ren,

Senem Velipasalar

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Jiajing and Kakillioglu, Burak and Ren, Huantao and Velipasalar, Senem}, title = {Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {559-567} }

Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention

Yu Yang,

Seungbae Kim,

Jungseock Joo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Yu and Kim, Seungbae and Joo, Jungseock}, title = {Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8333-8343} }

AlignQ: Alignment Quantization With ADMM-Based Correlation Preservation

Ting-An Chen,

De-Nian Yang,

Ming-Syan Chen

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Ting-An and Yang, De-Nian and Chen, Ming-Syan}, title = {AlignQ: Alignment Quantization With ADMM-Based Correlation Preservation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12538-12547} }

Self-Distillation From the Last Mini-Batch for Consistency Regularization

Yiqing Shen,

Liwu Xu,

Yuzhe Yang,

Yaqian Li,

Yandong Guo

[pdf] [arXiv]

[bibtex]

@InProceedings{Shen_2022_CVPR, author = {Shen, Yiqing and Xu, Liwu and Yang, Yuzhe and Li, Yaqian and Guo, Yandong}, title = {Self-Distillation From the Last Mini-Batch for Consistency Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11943-11952} }

Interactive Multi-Class Tiny-Object Detection

Chunggi Lee,

Seonwook Park,

Heon Song,

Jeongun Ryu,

Sanghoon Kim,

Haejoon Kim,

Sérgio Pereira,

Donggeun Yoo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Chunggi and Park, Seonwook and Song, Heon and Ryu, Jeongun and Kim, Sanghoon and Kim, Haejoon and Pereira, S\'ergio and Yoo, Donggeun}, title = {Interactive Multi-Class Tiny-Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14136-14145} }

Learning From Pixel-Level Noisy Label: A New Perspective for Light Field Saliency Detection

Mingtao Feng,

Kendong Liu,

Liang Zhang,

Hongshan Yu,

Yaonan Wang,

Ajmal Mian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Feng_2022_CVPR, author = {Feng, Mingtao and Liu, Kendong and Zhang, Liang and Yu, Hongshan and Wang, Yaonan and Mian, Ajmal}, title = {Learning From Pixel-Level Noisy Label: A New Perspective for Light Field Saliency Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1756-1766} }

UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection

Hyolim Kang,

Jinwoo Kim,

Taehyun Kim,

Seon Joo Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kang_2022_CVPR, author = {Kang, Hyolim and Kim, Jinwoo and Kim, Taehyun and Kim, Seon Joo}, title = {UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20073-20082} }

Multi-View Depth Estimation by Fusing Single-View Depth Probability With Multi-View Geometry

Gwangbin Bae,

Ignas Budvytis,

Roberto Cipolla

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bae_2022_CVPR, author = {Bae, Gwangbin and Budvytis, Ignas and Cipolla, Roberto}, title = {Multi-View Depth Estimation by Fusing Single-View Depth Probability With Multi-View Geometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2842-2851} }

Learning To Collaborate in Decentralized Learning of Personalized Models

Shuangtong Li,

Tianyi Zhou,

Xinmei Tian,

Dacheng Tao

[pdf]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Shuangtong and Zhou, Tianyi and Tian, Xinmei and Tao, Dacheng}, title = {Learning To Collaborate in Decentralized Learning of Personalized Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9766-9775} }

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

Can Wang,

Menglei Chai,

Mingming He,

Dongdong Chen,

Jing Liao

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Can and Chai, Menglei and He, Mingming and Chen, Dongdong and Liao, Jing}, title = {CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3835-3844} }

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation

Ruibin Wang,

Yibo Yang,

Dacheng Tao

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Ruibin and Yang, Yibo and Tao, Dacheng}, title = {ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14371-14380} }

Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields

Dor Verbin,

Peter Hedman,

Ben Mildenhall,

Todd Zickler,

Jonathan T. Barron,

Pratul P. Srinivasan

[pdf] [supp]

[bibtex]

@InProceedings{Verbin_2022_CVPR, author = {Verbin, Dor and Hedman, Peter and Mildenhall, Ben and Zickler, Todd and Barron, Jonathan T. and Srinivasan, Pratul P.}, title = {Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5491-5500} }

360-Attack: Distortion-Aware Perturbations From Perspective-Views

Yunjian Zhang,

Yanwei Liu,

Jinxia Liu,

Jingbo Miao,

Antonios Argyriou,

Liming Wang,

Zhen Xu

[pdf]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yunjian and Liu, Yanwei and Liu, Jinxia and Miao, Jingbo and Argyriou, Antonios and Wang, Liming and Xu, Zhen}, title = {360-Attack: Distortion-Aware Perturbations From Perspective-Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15035-15044} }

Targeted Supervised Contrastive Learning for Long-Tailed Recognition

Tianhong Li,

Peng Cao,

Yuan Yuan,

Lijie Fan,

Yuzhe Yang,

Rogerio S. Feris,

Piotr Indyk,

Dina Katabi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Tianhong and Cao, Peng and Yuan, Yuan and Fan, Lijie and Yang, Yuzhe and Feris, Rogerio S. and Indyk, Piotr and Katabi, Dina}, title = {Targeted Supervised Contrastive Learning for Long-Tailed Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6918-6928} }

Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding

Xianzheng Ma,

Zhixiang Wang,

Yacheng Zhan,

Yinqiang Zheng,

Zheng Wang,

Dengxin Dai,

Chia-Wen Lin

[pdf] [arXiv]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Xianzheng and Wang, Zhixiang and Zhan, Yacheng and Zheng, Yinqiang and Wang, Zheng and Dai, Dengxin and Lin, Chia-Wen}, title = {Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18922-18931} }

Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition

Junho Kim,

Inwoo Hwang,

Young Min Kim

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Junho and Hwang, Inwoo and Kim, Young Min}, title = {Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17745-17754} }

Balanced Contrastive Learning for Long-Tailed Visual Recognition

Jianggang Zhu,

Zheng Wang,

Jingjing Chen,

Yi-Ping Phoebe Chen,

Yu-Gang Jiang

[pdf] [supp]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Jianggang and Wang, Zheng and Chen, Jingjing and Chen, Yi-Ping Phoebe and Jiang, Yu-Gang}, title = {Balanced Contrastive Learning for Long-Tailed Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6908-6917} }

Slimmable Domain Adaptation

Rang Meng,

Weijie Chen,

Shicai Yang,

Jie Song,

Luojun Lin,

Di Xie,

Shiliang Pu,

Xinchao Wang,

Mingli Song,

Yueting Zhuang

[pdf] [supp]

[bibtex]

@InProceedings{Meng_2022_CVPR, author = {Meng, Rang and Chen, Weijie and Yang, Shicai and Song, Jie and Lin, Luojun and Xie, Di and Pu, Shiliang and Wang, Xinchao and Song, Mingli and Zhuang, Yueting}, title = {Slimmable Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7141-7150} }

Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees

Binghui Wang,

Youqi Li,

Pan Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Binghui and Li, Youqi and Zhou, Pan}, title = {Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13379-13387} }

NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration

Yifan Wu,

Tom Z. Jiahao,

Jiancong Wang,

Paul A. Yushkevich,

M. Ani Hsieh,

James C. Gee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Yifan and Jiahao, Tom Z. and Wang, Jiancong and Yushkevich, Paul A. and Hsieh, M. Ani and Gee, James C.}, title = {NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20804-20813} }

DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow

Zihua Zheng,

Ni Nie,

Zhi Ling,

Pengfei Xiong,

Jiangyu Liu,

Hao Wang,

Jiankun Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Zihua and Nie, Ni and Ling, Zhi and Xiong, Pengfei and Liu, Jiangyu and Wang, Hao and Li, Jiankun}, title = {DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8925-8934} }

Few-Shot Object Detection With Fully Cross-Transformer

Guangxing Han,

Jiawei Ma,

Shiyuan Huang,

Long Chen,

Shih-Fu Chang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Han_2022_CVPR, author = {Han, Guangxing and Ma, Jiawei and Huang, Shiyuan and Chen, Long and Chang, Shih-Fu}, title = {Few-Shot Object Detection With Fully Cross-Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5321-5330} }

Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation

Dong Nie,

Rui Lan,

Ling Wang,

Xiaofeng Ren

[pdf]

[bibtex]

@InProceedings{Nie_2022_CVPR, author = {Nie, Dong and Lan, Rui and Wang, Ling and Ren, Xiaofeng}, title = {Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17284-17294} }

Decoupling Makes Weakly Supervised Local Feature Better

Kunhong Li,

Longguang Wang,

Li Liu,

Qing Ran,

Kai Xu,

Yulan Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Kunhong and Wang, Longguang and Liu, Li and Ran, Qing and Xu, Kai and Guo, Yulan}, title = {Decoupling Makes Weakly Supervised Local Feature Better}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15838-15848} }

Cross-Architecture Self-Supervised Video Representation Learning

Sheng Guo,

Zihua Xiong,

Yujie Zhong,

Limin Wang,

Xiaobo Guo,

Bing Han,

Weilin Huang

[pdf] [arXiv]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Sheng and Xiong, Zihua and Zhong, Yujie and Wang, Limin and Guo, Xiaobo and Han, Bing and Huang, Weilin}, title = {Cross-Architecture Self-Supervised Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19270-19279} }

High-Resolution Image Harmonization via Collaborative Dual Transformations

Wenyan Cong,

Xinhao Tao,

Li Niu,

Jing Liang,

Xuesong Gao,

Qihao Sun,

Liqing Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cong_2022_CVPR, author = {Cong, Wenyan and Tao, Xinhao and Niu, Li and Liang, Jing and Gao, Xuesong and Sun, Qihao and Zhang, Liqing}, title = {High-Resolution Image Harmonization via Collaborative Dual Transformations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18470-18479} }

Homography Loss for Monocular 3D Object Detection

Jiaqi Gu,

Bojian Wu,

Lubin Fan,

Jianqiang Huang,

Shen Cao,

Zhiyu Xiang,

Xian-Sheng Hua

[pdf] [arXiv]

[bibtex]

@InProceedings{Gu_2022_CVPR, author = {Gu, Jiaqi and Wu, Bojian and Fan, Lubin and Huang, Jianqiang and Cao, Shen and Xiang, Zhiyu and Hua, Xian-Sheng}, title = {Homography Loss for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1080-1089} }

A Unified Model for Line Projections in Catadioptric Cameras With Rotationally Symmetric Mirrors

Pedro Miraldo,

José Pedro Iglesias

[pdf] [supp]

[bibtex]

@InProceedings{Miraldo_2022_CVPR, author = {Miraldo, Pedro and Iglesias, Jos\'e Pedro}, title = {A Unified Model for Line Projections in Catadioptric Cameras With Rotationally Symmetric Mirrors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15797-15806} }

Dynamic Sparse R-CNN

Qinghang Hong,

Fengming Liu,

Dong Li,

Ji Liu,

Lu Tian,

Yi Shan

[pdf]

[bibtex]

@InProceedings{Hong_2022_CVPR, author = {Hong, Qinghang and Liu, Fengming and Li, Dong and Liu, Ji and Tian, Lu and Shan, Yi}, title = {Dynamic Sparse R-CNN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4723-4732} }

MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation

Inkyu Shin,

Yi-Hsuan Tsai,

Bingbing Zhuang,

Samuel Schulter,

Buyu Liu,

Sparsh Garg,

In So Kweon,

Kuk-Jin Yoon

[pdf] [supp]

[bibtex]

@InProceedings{Shin_2022_CVPR, author = {Shin, Inkyu and Tsai, Yi-Hsuan and Zhuang, Bingbing and Schulter, Samuel and Liu, Buyu and Garg, Sparsh and Kweon, In So and Yoon, Kuk-Jin}, title = {MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16928-16937} }

Stable Long-Term Recurrent Video Super-Resolution

Benjamin Naoto Chiche,

Arnaud Woiselle,

Joana Frontera-Pons,

Jean-Luc Starck

[pdf] [supp]

[bibtex]

@InProceedings{Chiche_2022_CVPR, author = {Chiche, Benjamin Naoto and Woiselle, Arnaud and Frontera-Pons, Joana and Starck, Jean-Luc}, title = {Stable Long-Term Recurrent Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {837-846} }

Dual-Generator Face Reenactment

Gee-Sern Hsu,

Chun-Hung Tsai,

Hung-Yi Wu

[pdf]

[bibtex]

@InProceedings{Hsu_2022_CVPR, author = {Hsu, Gee-Sern and Tsai, Chun-Hung and Wu, Hung-Yi}, title = {Dual-Generator Face Reenactment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {642-650} }

Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence

Zhihong Pan,

Baopu Li,

Dongliang He,

Mingde Yao,

Wenhao Wu,

Tianwei Lin,

Xin Li,

Errui Ding

[pdf] [arXiv]

[bibtex]

@InProceedings{Pan_2022_CVPR, author = {Pan, Zhihong and Li, Baopu and He, Dongliang and Yao, Mingde and Wu, Wenhao and Lin, Tianwei and Li, Xin and Ding, Errui}, title = {Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17389-17398} }

Self-Supervised Neural Articulated Shape and Appearance Models

Fangyin Wei,

Rohan Chabra,

Lingni Ma,

Christoph Lassner,

Michael Zollhöfer,

Szymon Rusinkiewicz,

Chris Sweeney,

Richard Newcombe,

Mira Slavcheva

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wei_2022_CVPR, author = {Wei, Fangyin and Chabra, Rohan and Ma, Lingni and Lassner, Christoph and Zollh\"ofer, Michael and Rusinkiewicz, Szymon and Sweeney, Chris and Newcombe, Richard and Slavcheva, Mira}, title = {Self-Supervised Neural Articulated Shape and Appearance Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15816-15826} }

A Hybrid Quantum-Classical Algorithm for Robust Fitting

Anh-Dzung Doan,

Michele Sasdelli,

David Suter,

Tat-Jun Chin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Doan_2022_CVPR, author = {Doan, Anh-Dzung and Sasdelli, Michele and Suter, David and Chin, Tat-Jun}, title = {A Hybrid Quantum-Classical Algorithm for Robust Fitting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {417-427} }

Topology Preserving Local Road Network Estimation From Single Onboard Camera Image

Yigit Baran Can,

Alexander Liniger,

Danda Pani Paudel,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Can_2022_CVPR, author = {Can, Yigit Baran and Liniger, Alexander and Paudel, Danda Pani and Van Gool, Luc}, title = {Topology Preserving Local Road Network Estimation From Single Onboard Camera Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17263-17272} }

Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes

Dongkwon Jin,

Wonhui Park,

Seong-Gyun Jeong,

Heeyeon Kwon,

Chang-Su Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jin_2022_CVPR, author = {Jin, Dongkwon and Park, Wonhui and Jeong, Seong-Gyun and Kwon, Heeyeon and Kim, Chang-Su}, title = {Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17163-17171} }

Human Instance Matting via Mutual Guidance and Multi-Instance Refinement

Yanan Sun,

Chi-Keung Tang,

Yu-Wing Tai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Yanan and Tang, Chi-Keung and Tai, Yu-Wing}, title = {Human Instance Matting via Mutual Guidance and Multi-Instance Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2647-2656} }

TCTrack: Temporal Contexts for Aerial Tracking

Ziang Cao,

Ziyuan Huang,

Liang Pan,

Shiwei Zhang,

Ziwei Liu,

Changhong Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Ziang and Huang, Ziyuan and Pan, Liang and Zhang, Shiwei and Liu, Ziwei and Fu, Changhong}, title = {TCTrack: Temporal Contexts for Aerial Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14798-14808} }

SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Color Editing

Jing Shi,

Ning Xu,

Haitian Zheng,

Alex Smith,

Jiebo Luo,

Chenliang Xu

[pdf] [supp]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Jing and Xu, Ning and Zheng, Haitian and Smith, Alex and Luo, Jiebo and Xu, Chenliang}, title = {SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Color Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19730-19739} }

GAN-Supervised Dense Visual Alignment

William Peebles,

Jun-Yan Zhu,

Richard Zhang,

Antonio Torralba,

Alexei A. Efros,

Eli Shechtman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Peebles_2022_CVPR, author = {Peebles, William and Zhu, Jun-Yan and Zhang, Richard and Torralba, Antonio and Efros, Alexei A. and Shechtman, Eli}, title = {GAN-Supervised Dense Visual Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13470-13481} }

SwinTextSpotter: Scene Text Spotting via Better Synergy Between Text Detection and Text Recognition

Mingxin Huang,

Yuliang Liu,

Zhenghao Peng,

Chongyu Liu,

Dahua Lin,

Shenggao Zhu,

Nicholas Yuan,

Kai Ding,

Lianwen Jin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Mingxin and Liu, Yuliang and Peng, Zhenghao and Liu, Chongyu and Lin, Dahua and Zhu, Shenggao and Yuan, Nicholas and Ding, Kai and Jin, Lianwen}, title = {SwinTextSpotter: Scene Text Spotting via Better Synergy Between Text Detection and Text Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4593-4603} }

Multi-Level Feature Learning for Contrastive Multi-View Clustering

Jie Xu,

Huayi Tang,

Yazhou Ren,

Liang Peng,

Xiaofeng Zhu,

Lifang He

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Jie and Tang, Huayi and Ren, Yazhou and Peng, Liang and Zhu, Xiaofeng and He, Lifang}, title = {Multi-Level Feature Learning for Contrastive Multi-View Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16051-16060} }

RendNet: Unified 2D/3D Recognizer With Latent Space Rendering

Ruoxi Shi,

Xinyang Jiang,

Caihua Shan,

Yansen Wang,

Dongsheng Li

[pdf]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Ruoxi and Jiang, Xinyang and Shan, Caihua and Wang, Yansen and Li, Dongsheng}, title = {RendNet: Unified 2D/3D Recognizer With Latent Space Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5408-5417} }

iPLAN: Interactive and Procedural Layout Planning

Feixiang He,

Yanlong Huang,

He Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Feixiang and Huang, Yanlong and Wang, He}, title = {iPLAN: Interactive and Procedural Layout Planning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7793-7802} }

Video Frame Interpolation With Transformer

Liying Lu,

Ruizheng Wu,

Huaijia Lin,

Jiangbo Lu,

Jiaya Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lu_2022_CVPR, author = {Lu, Liying and Wu, Ruizheng and Lin, Huaijia and Lu, Jiangbo and Jia, Jiaya}, title = {Video Frame Interpolation With Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3532-3542} }

GIFS: Neural Implicit Function for General Shape Representation

Jianglong Ye,

Yuntao Chen,

Naiyan Wang,

Xiaolong Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Jianglong and Chen, Yuntao and Wang, Naiyan and Wang, Xiaolong}, title = {GIFS: Neural Implicit Function for General Shape Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12829-12839} }

Deblur-NeRF: Neural Radiance Fields From Blurry Images

Li Ma,

Xiaoyu Li,

Jing Liao,

Qi Zhang,

Xuan Wang,

Jue Wang,

Pedro V. Sander

[pdf] [supp]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Li and Li, Xiaoyu and Liao, Jing and Zhang, Qi and Wang, Xuan and Wang, Jue and Sander, Pedro V.}, title = {Deblur-NeRF: Neural Radiance Fields From Blurry Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12861-12870} }

Egocentric Prediction of Action Target in 3D

Yiming Li,

Ziang Cao,

Andrew Liang,

Benjamin Liang,

Luoyao Chen,

Hang Zhao,

Chen Feng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yiming and Cao, Ziang and Liang, Andrew and Liang, Benjamin and Chen, Luoyao and Zhao, Hang and Feng, Chen}, title = {Egocentric Prediction of Action Target in 3D}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21003-21012} }

TemporalUV: Capturing Loose Clothing With Temporally Coherent UV Coordinates

You Xie,

Huiqi Mao,

Angela Yao,

Nils Thuerey

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, You and Mao, Huiqi and Yao, Angela and Thuerey, Nils}, title = {TemporalUV: Capturing Loose Clothing With Temporally Coherent UV Coordinates}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3450-3459} }

Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction

Xinshuo Weng,

Boris Ivanovic,

Kris Kitani,

Marco Pavone

[pdf]

[bibtex]

@InProceedings{Weng_2022_CVPR, author = {Weng, Xinshuo and Ivanovic, Boris and Kitani, Kris and Pavone, Marco}, title = {Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6573-6582} }

DoubleField: Bridging the Neural Surface and Radiance Fields for High-Fidelity Human Reconstruction and Rendering

Ruizhi Shao,

Hongwen Zhang,

He Zhang,

Mingjia Chen,

Yan-Pei Cao,

Tao Yu,

Yebin Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shao_2022_CVPR, author = {Shao, Ruizhi and Zhang, Hongwen and Zhang, He and Chen, Mingjia and Cao, Yan-Pei and Yu, Tao and Liu, Yebin}, title = {DoubleField: Bridging the Neural Surface and Radiance Fields for High-Fidelity Human Reconstruction and Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15872-15882} }

Towards Real-World Navigation With Deep Differentiable Planners

Shu Ishida,

João F. Henriques

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ishida_2022_CVPR, author = {Ishida, Shu and Henriques, Jo\~ao F.}, title = {Towards Real-World Navigation With Deep Differentiable Planners}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17327-17336} }

An Iterative Quantum Approach for Transformation Estimation From Point Sets

Natacha Kuete Meli,

Florian Mannel,

Jan Lellmann

[pdf] [supp]

[bibtex]

@InProceedings{Meli_2022_CVPR, author = {Meli, Natacha Kuete and Mannel, Florian and Lellmann, Jan}, title = {An Iterative Quantum Approach for Transformation Estimation From Point Sets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {529-537} }

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

Xiangtai Li,

Wenwei Zhang,

Jiangmiao Pang,

Kai Chen,

Guangliang Cheng,

Yunhai Tong,

Chen Change Loy

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Xiangtai and Zhang, Wenwei and Pang, Jiangmiao and Chen, Kai and Cheng, Guangliang and Tong, Yunhai and Loy, Chen Change}, title = {Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18847-18857} }

UnweaveNet: Unweaving Activity Stories

Will Price,

Carl Vondrick,

Dima Damen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Price_2022_CVPR, author = {Price, Will and Vondrick, Carl and Damen, Dima}, title = {UnweaveNet: Unweaving Activity Stories}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13770-13779} }

Balanced MSE for Imbalanced Visual Regression

Jiawei Ren,

Mingyuan Zhang,

Cunjun Yu,

Ziwei Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Jiawei and Zhang, Mingyuan and Yu, Cunjun and Liu, Ziwei}, title = {Balanced MSE for Imbalanced Visual Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7926-7935} }

Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning

Matias Mendieta,

Taojiannan Yang,

Pu Wang,

Minwoo Lee,

Zhengming Ding,

Chen Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mendieta_2022_CVPR, author = {Mendieta, Matias and Yang, Taojiannan and Wang, Pu and Lee, Minwoo and Ding, Zhengming and Chen, Chen}, title = {Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8397-8406} }

PhysFormer: Facial Video-Based Physiological Measurement With Temporal Difference Transformer

Zitong Yu,

Yuming Shen,

Jingang Shi,

Hengshuang Zhao,

Philip H.S. Torr,

Guoying Zhao

[pdf] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Zitong and Shen, Yuming and Shi, Jingang and Zhao, Hengshuang and Torr, Philip H.S. and Zhao, Guoying}, title = {PhysFormer: Facial Video-Based Physiological Measurement With Temporal Difference Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4186-4196} }

Dimension Embeddings for Monocular 3D Object Detection

Yunpeng Zhang,

Wenzhao Zheng,

Zheng Zhu,

Guan Huang,

Dalong Du,

Jie Zhou,

Jiwen Lu

[pdf]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yunpeng and Zheng, Wenzhao and Zhu, Zheng and Huang, Guan and Du, Dalong and Zhou, Jie and Lu, Jiwen}, title = {Dimension Embeddings for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1589-1598} }

Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator

Yuxin Kong,

Canjie Luo,

Weihong Ma,

Qiyuan Zhu,

Shenggao Zhu,

Nicholas Yuan,

Lianwen Jin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kong_2022_CVPR, author = {Kong, Yuxin and Luo, Canjie and Ma, Weihong and Zhu, Qiyuan and Zhu, Shenggao and Yuan, Nicholas and Jin, Lianwen}, title = {Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13482-13491} }

NeRFReN: Neural Radiance Fields With Reflections

Yuan-Chen Guo,

Di Kang,

Linchao Bao,

Yu He,

Song-Hai Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Yuan-Chen and Kang, Di and Bao, Linchao and He, Yu and Zhang, Song-Hai}, title = {NeRFReN: Neural Radiance Fields With Reflections}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18409-18418} }

Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel

Zongsheng Yue,

Qian Zhao,

Jianwen Xie,

Lei Zhang,

Deyu Meng,

Kwan-Yee K. Wong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yue_2022_CVPR, author = {Yue, Zongsheng and Zhao, Qian and Xie, Jianwen and Zhang, Lei and Meng, Deyu and Wong, Kwan-Yee K.}, title = {Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2128-2138} }

Finding Good Configurations of Planar Primitives in Unorganized Point Clouds

Mulin Yu,

Florent Lafarge

[pdf] [supp]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Mulin and Lafarge, Florent}, title = {Finding Good Configurations of Planar Primitives in Unorganized Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6367-6376} }

PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor Images

Zhen Li,

Lingli Wang,

Xiang Huang,

Cihui Pan,

Jiaqi Yang

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Zhen and Wang, Lingli and Huang, Xiang and Pan, Cihui and Yang, Jiaqi}, title = {PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12713-12723} }

SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization

Yucheng Hang,

Bin Xia,

Wenming Yang,

Qingmin Liao

[pdf] [supp]

[bibtex]

@InProceedings{Hang_2022_CVPR, author = {Hang, Yucheng and Xia, Bin and Yang, Wenming and Liao, Qingmin}, title = {SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19710-19719} }

Beyond Fixation: Dynamic Window Visual Transformer

Pengzhen Ren,

Changlin Li,

Guangrun Wang,

Yun Xiao,

Qing Du,

Xiaodan Liang,

Xiaojun Chang

[pdf] [arXiv]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Pengzhen and Li, Changlin and Wang, Guangrun and Xiao, Yun and Du, Qing and Liang, Xiaodan and Chang, Xiaojun}, title = {Beyond Fixation: Dynamic Window Visual Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11987-11997} }

Progressive End-to-End Object Detection in Crowded Scenes

Anlin Zheng,

Yuang Zhang,

Xiangyu Zhang,

Xiaojuan Qi,

Jian Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Anlin and Zhang, Yuang and Zhang, Xiangyu and Qi, Xiaojuan and Sun, Jian}, title = {Progressive End-to-End Object Detection in Crowded Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {857-866} }

FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification

Qiang Zhang,

Changzhou Lai,

Jianan Liu,

Nianchang Huang,

Jungong Han

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Qiang and Lai, Changzhou and Liu, Jianan and Huang, Nianchang and Han, Jungong}, title = {FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7349-7358} }

Improving GAN Equilibrium by Raising Spatial Awareness

Jianyuan Wang,

Ceyuan Yang,

Yinghao Xu,

Yujun Shen,

Hongdong Li,

Bolei Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jianyuan and Yang, Ceyuan and Xu, Yinghao and Shen, Yujun and Li, Hongdong and Zhou, Bolei}, title = {Improving GAN Equilibrium by Raising Spatial Awareness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11285-11293} }

Neural Convolutional Surfaces

Luca Morreale,

Noam Aigerman,

Paul Guerrero,

Vladimir G. Kim,

Niloy J. Mitra

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Morreale_2022_CVPR, author = {Morreale, Luca and Aigerman, Noam and Guerrero, Paul and Kim, Vladimir G. and Mitra, Niloy J.}, title = {Neural Convolutional Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19333-19342} }

HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet

Cheng Peng,

Andriy Myronenko,

Ali Hatamizadeh,

Vishwesh Nath,

Md Mahfuzur Rahman Siddiquee,

Yufan He,

Daguang Xu,

Rama Chellappa,

Dong Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Peng_2022_CVPR, author = {Peng, Cheng and Myronenko, Andriy and Hatamizadeh, Ali and Nath, Vishwesh and Siddiquee, Md Mahfuzur Rahman and He, Yufan and Xu, Daguang and Chellappa, Rama and Yang, Dong}, title = {HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20741-20751} }

A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes

Mazda Moayeri,

Phillip Pope,

Yogesh Balaji,

Soheil Feizi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Moayeri_2022_CVPR, author = {Moayeri, Mazda and Pope, Phillip and Balaji, Yogesh and Feizi, Soheil}, title = {A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19087-19097} }

ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes

Rahul Sajnani,

Adrien Poulenard,

Jivitesh Jain,

Radhika Dua,

Leonidas J. Guibas,

Srinath Sridhar

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sajnani_2022_CVPR, author = {Sajnani, Rahul and Poulenard, Adrien and Jain, Jivitesh and Dua, Radhika and Guibas, Leonidas J. and Sridhar, Srinath}, title = {ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16969-16979} }

Source-Free Domain Adaptation via Distribution Estimation

Ning Ding,

Yixing Xu,

Yehui Tang,

Chao Xu,

Yunhe Wang,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Ning and Xu, Yixing and Tang, Yehui and Xu, Chao and Wang, Yunhe and Tao, Dacheng}, title = {Source-Free Domain Adaptation via Distribution Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7212-7222} }

Robust Combination of Distributed Gradients Under Adversarial Perturbations

Kwang In Kim

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Kwang In}, title = {Robust Combination of Distributed Gradients Under Adversarial Perturbations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {254-263} }

Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression Network

Renshuai Tao,

Hainan Li,

Tianbo Wang,

Yanlu Wei,

Yifu Ding,

Bowei Jin,

Hongping Zhi,

Xianglong Liu,

Aishan Liu

[pdf]

[bibtex]

@InProceedings{Tao_2022_CVPR, author = {Tao, Renshuai and Li, Hainan and Wang, Tianbo and Wei, Yanlu and Ding, Yifu and Jin, Bowei and Zhi, Hongping and Liu, Xianglong and Liu, Aishan}, title = {Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21189-21199} }

VisCUIT: Visual Auditor for Bias in CNN Image Classifier

Seongmin Lee,

Zijie J. Wang,

Judy Hoffman,

Duen Horng (Polo) Chau

[pdf] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Seongmin and Wang, Zijie J. and Hoffman, Judy and Chau, Duen Horng (Polo)}, title = {VisCUIT: Visual Auditor for Bias in CNN Image Classifier}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21475-21483} }

Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis

Albert Tseng,

Jennifer J. Sun,

Yisong Yue

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tseng_2022_CVPR, author = {Tseng, Albert and Sun, Jennifer J. and Yue, Yisong}, title = {Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2211-2220} }

Transferability Estimation Using Bhattacharyya Class Separability

Michal Pándy,

Andrea Agostinelli,

Jasper Uijlings,

Vittorio Ferrari,

Thomas Mensink

[pdf] [supp]

[bibtex]

@InProceedings{Pandy_2022_CVPR, author = {P\'andy, Michal and Agostinelli, Andrea and Uijlings, Jasper and Ferrari, Vittorio and Mensink, Thomas}, title = {Transferability Estimation Using Bhattacharyya Class Separability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9172-9182} }

DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition

Thanh-Dat Truong,

Quoc-Huy Bui,

Chi Nhan Duong,

Han-Seok Seo,

Son Lam Phung,

Xin Li,

Khoa Luu

[pdf] [arXiv]

[bibtex]

@InProceedings{Truong_2022_CVPR, author = {Truong, Thanh-Dat and Bui, Quoc-Huy and Duong, Chi Nhan and Seo, Han-Seok and Phung, Son Lam and Li, Xin and Luu, Khoa}, title = {DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20030-20040} }

Hierarchical Self-Supervised Representation Learning for Movie Understanding

Fanyi Xiao,

Kaustav Kundu,

Joseph Tighe,

Davide Modolo

[pdf] [arXiv]

[bibtex]

@InProceedings{Xiao_2022_CVPR, author = {Xiao, Fanyi and Kundu, Kaustav and Tighe, Joseph and Modolo, Davide}, title = {Hierarchical Self-Supervised Representation Learning for Movie Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9727-9736} }

Robust Egocentric Photo-Realistic Facial Expression Transfer for Virtual Reality

Amin Jourabloo,

Fernando De la Torre,

Jason Saragih,

Shih-En Wei,

Stephen Lombardi,

Te-Li Wang,

Danielle Belko,

Autumn Trimble,

Hernan Badino

[pdf] [arXiv]

[bibtex]

@InProceedings{Jourabloo_2022_CVPR, author = {Jourabloo, Amin and De la Torre, Fernando and Saragih, Jason and Wei, Shih-En and Lombardi, Stephen and Wang, Te-Li and Belko, Danielle and Trimble, Autumn and Badino, Hernan}, title = {Robust Egocentric Photo-Realistic Facial Expression Transfer for Virtual Reality}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20323-20332} }

Does Robustness on ImageNet Transfer to Downstream Tasks?

Yutaro Yamada,

Mayu Otani

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yamada_2022_CVPR, author = {Yamada, Yutaro and Otani, Mayu}, title = {Does Robustness on ImageNet Transfer to Downstream Tasks?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9215-9224} }

Propagation Regularizer for Semi-Supervised Learning With Extremely Scarce Labeled Samples

Noo-ri Kim,

Jee-Hyong Lee

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Noo-ri and Lee, Jee-Hyong}, title = {Propagation Regularizer for Semi-Supervised Learning With Extremely Scarce Labeled Samples}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14401-14410} }

Bailando: 3D Dance Generation by Actor-Critic GPT With Choreographic Memory

Li Siyao,

Weijiang Yu,

Tianpei Gu,

Chunze Lin,

Quan Wang,

Chen Qian,

Chen Change Loy,

Ziwei Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Siyao_2022_CVPR, author = {Siyao, Li and Yu, Weijiang and Gu, Tianpei and Lin, Chunze and Wang, Quan and Qian, Chen and Loy, Chen Change and Liu, Ziwei}, title = {Bailando: 3D Dance Generation by Actor-Critic GPT With Choreographic Memory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11050-11059} }

Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations

Zhixuan Zhong,

Liangyu Chai,

Yang Zhou,

Bailin Deng,

Jia Pan,

Shengfeng He

[pdf] [supp]

[bibtex]

@InProceedings{Zhong_2022_CVPR, author = {Zhong, Zhixuan and Chai, Liangyu and Zhou, Yang and Deng, Bailin and Pan, Jia and He, Shengfeng}, title = {Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5708-5717} }

Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection

Xian Qu,

Changxing Ding,

Xingao Li,

Xubin Zhong,

Dacheng Tao

[pdf] [supp]

[bibtex]

@InProceedings{Qu_2022_CVPR, author = {Qu, Xian and Ding, Changxing and Li, Xingao and Zhong, Xubin and Tao, Dacheng}, title = {Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19558-19567} }

Proto2Proto: Can You Recognize the Car, the Way I Do?

Monish Keswani,

Sriranjani Ramakrishnan,

Nishant Reddy,

Vineeth N Balasubramanian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Keswani_2022_CVPR, author = {Keswani, Monish and Ramakrishnan, Sriranjani and Reddy, Nishant and Balasubramanian, Vineeth N}, title = {Proto2Proto: Can You Recognize the Car, the Way I Do?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10233-10243} }

Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation

Nan Xue,

Tianfu Wu,

Gui-Song Xia,

Liangpei Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xue_2022_CVPR, author = {Xue, Nan and Wu, Tianfu and Xia, Gui-Song and Zhang, Liangpei}, title = {Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13065-13074} }

Learning Video Representations of Human Motion From Synthetic Data

Xi Guo,

Wei Wu,

Dongliang Wang,

Jing Su,

Haisheng Su,

Weihao Gan,

Jian Huang,

Qin Yang

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Xi and Wu, Wei and Wang, Dongliang and Su, Jing and Su, Haisheng and Gan, Weihao and Huang, Jian and Yang, Qin}, title = {Learning Video Representations of Human Motion From Synthetic Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20197-20207} }

TVConv: Efficient Translation Variant Convolution for Layout-Aware Visual Processing

Jierun Chen,

Tianlang He,

Weipeng Zhuo,

Li Ma,

Sangtae Ha,

S.-H. Gary Chan

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Jierun and He, Tianlang and Zhuo, Weipeng and Ma, Li and Ha, Sangtae and Chan, S.-H. Gary}, title = {TVConv: Efficient Translation Variant Convolution for Layout-Aware Visual Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12548-12558} }

Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution

Xiaoqian Xu,

Pengxu Wei,

Weikai Chen,

Yang Liu,

Mingzhi Mao,

Liang Lin,

Guanbin Li

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Xiaoqian and Wei, Pengxu and Chen, Weikai and Liu, Yang and Mao, Mingzhi and Lin, Liang and Li, Guanbin}, title = {Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5667-5676} }

FS6D: Few-Shot 6D Pose Estimation of Novel Objects

Yisheng He,

Yao Wang,

Haoqiang Fan,

Jian Sun,

Qifeng Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Yisheng and Wang, Yao and Fan, Haoqiang and Sun, Jian and Chen, Qifeng}, title = {FS6D: Few-Shot 6D Pose Estimation of Novel Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6814-6824} }

Habitat-Web: Learning Embodied Object-Search Strategies From Human Demonstrations at Scale

Ram Ramrakhya,

Eric Undersander,

Dhruv Batra,

Abhishek Das

[pdf] [supp]

[bibtex]

@InProceedings{Ramrakhya_2022_CVPR, author = {Ramrakhya, Ram and Undersander, Eric and Batra, Dhruv and Das, Abhishek}, title = {Habitat-Web: Learning Embodied Object-Search Strategies From Human Demonstrations at Scale}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5173-5183} }

The Probabilistic Normal Epipolar Constraint for Frame-to-Frame Rotation Optimization Under Uncertain Feature Positions

Dominik Muhle,

Lukas Koestler,

Nikolaus Demmel,

Florian Bernard,

Daniel Cremers

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Muhle_2022_CVPR, author = {Muhle, Dominik and Koestler, Lukas and Demmel, Nikolaus and Bernard, Florian and Cremers, Daniel}, title = {The Probabilistic Normal Epipolar Constraint for Frame-to-Frame Rotation Optimization Under Uncertain Feature Positions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1819-1828} }

Vision-Language Pre-Training for Boosting Scene Text Detectors

Sibo Song,

Jianqiang Wan,

Zhibo Yang,

Jun Tang,

Wenqing Cheng,

Xiang Bai,

Cong Yao

[pdf] [arXiv]

[bibtex]

@InProceedings{Song_2022_CVPR, author = {Song, Sibo and Wan, Jianqiang and Yang, Zhibo and Tang, Jun and Cheng, Wenqing and Bai, Xiang and Yao, Cong}, title = {Vision-Language Pre-Training for Boosting Scene Text Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15681-15691} }

Reflection and Rotation Symmetry Detection via Equivariant Learning

Ahyun Seo,

Byungjin Kim,

Suha Kwak,

Minsu Cho

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Seo_2022_CVPR, author = {Seo, Ahyun and Kim, Byungjin and Kwak, Suha and Cho, Minsu}, title = {Reflection and Rotation Symmetry Detection via Equivariant Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9539-9548} }

BoostMIS: Boosting Medical Image Semi-Supervised Learning With Adaptive Pseudo Labeling and Informative Active Annotation

Wenqiao Zhang,

Lei Zhu,

James Hallinan,

Shengyu Zhang,

Andrew Makmur,

Qingpeng Cai,

Beng Chin Ooi

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Wenqiao and Zhu, Lei and Hallinan, James and Zhang, Shengyu and Makmur, Andrew and Cai, Qingpeng and Ooi, Beng Chin}, title = {BoostMIS: Boosting Medical Image Semi-Supervised Learning With Adaptive Pseudo Labeling and Informative Active Annotation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20666-20676} }

Simple but Effective: CLIP Embeddings for Embodied AI

Apoorv Khandelwal,

Luca Weihs,

Roozbeh Mottaghi,

Aniruddha Kembhavi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Khandelwal_2022_CVPR, author = {Khandelwal, Apoorv and Weihs, Luca and Mottaghi, Roozbeh and Kembhavi, Aniruddha}, title = {Simple but Effective: CLIP Embeddings for Embodied AI}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14829-14838} }

NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition

Hao Liu,

Xinghua Jiang,

Xin Li,

Zhimin Bao,

Deqiang Jiang,

Bo Ren

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Hao and Jiang, Xinghua and Li, Xin and Bao, Zhimin and Jiang, Deqiang and Ren, Bo}, title = {NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12073-12082} }

HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction

Yunze Liu,

Yun Liu,

Che Jiang,

Kangbo Lyu,

Weikang Wan,

Hao Shen,

Boqiang Liang,

Zhoujie Fu,

He Wang,

Li Yi

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yunze and Liu, Yun and Jiang, Che and Lyu, Kangbo and Wan, Weikang and Shen, Hao and Liang, Boqiang and Fu, Zhoujie and Wang, He and Yi, Li}, title = {HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21013-21022} }

Collaborative Transformers for Grounded Situation Recognition

Junhyeong Cho,

Youngseok Yoon,

Suha Kwak

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cho_2022_CVPR, author = {Cho, Junhyeong and Yoon, Youngseok and Kwak, Suha}, title = {Collaborative Transformers for Grounded Situation Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19659-19668} }

DyRep: Bootstrapping Training With Dynamic Re-Parameterization

Tao Huang,

Shan You,

Bohan Zhang,

Yuxuan Du,

Fei Wang,

Chen Qian,

Chang Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Tao and You, Shan and Zhang, Bohan and Du, Yuxuan and Wang, Fei and Qian, Chen and Xu, Chang}, title = {DyRep: Bootstrapping Training With Dynamic Re-Parameterization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {588-597} }

Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection

Ismail Elezi,

Zhiding Yu,

Anima Anandkumar,

Laura Leal-Taixé,

Jose M. Alvarez

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Elezi_2022_CVPR, author = {Elezi, Ismail and Yu, Zhiding and Anandkumar, Anima and Leal-Taix\'e, Laura and Alvarez, Jose M.}, title = {Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14492-14501} }

CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild

Yang You,

Ruoxi Shi,

Weiming Wang,

Cewu Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{You_2022_CVPR, author = {You, Yang and Shi, Ruoxi and Wang, Weiming and Lu, Cewu}, title = {CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6866-6875} }

Interact Before Align: Leveraging Cross-Modal Knowledge for Domain Adaptive Action Recognition

Lijin Yang,

Yifei Huang,

Yusuke Sugano,

Yoichi Sato

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Lijin and Huang, Yifei and Sugano, Yusuke and Sato, Yoichi}, title = {Interact Before Align: Leveraging Cross-Modal Knowledge for Domain Adaptive Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14722-14732} }

Interactive Disentanglement: Learning Concepts by Interacting With Their Prototype Representations

Wolfgang Stammer,

Marius Memmel,

Patrick Schramowski,

Kristian Kersting

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Stammer_2022_CVPR, author = {Stammer, Wolfgang and Memmel, Marius and Schramowski, Patrick and Kersting, Kristian}, title = {Interactive Disentanglement: Learning Concepts by Interacting With Their Prototype Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10317-10328} }

CDGNet: Class Distribution Guided Network for Human Parsing

Kunliang Liu,

Ouk Choi,

Jianming Wang,

Wonjun Hwang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Kunliang and Choi, Ouk and Wang, Jianming and Hwang, Wonjun}, title = {CDGNet: Class Distribution Guided Network for Human Parsing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4473-4482} }

Recall@k Surrogate Loss With Large Batches and Similarity Mixup

Yash Patel,

Giorgos Tolias,

Jiří Matas

[pdf] [supp]

[bibtex]

@InProceedings{Patel_2022_CVPR, author = {Patel, Yash and Tolias, Giorgos and Matas, Ji\v{r}{\'\i}}, title = {Recall@k Surrogate Loss With Large Batches and Similarity Mixup}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7502-7511} }

Direct Voxel Grid Optimization: Super-Fast Convergence for Radiance Fields Reconstruction

Cheng Sun,

Min Sun,

Hwann-Tzong Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Cheng and Sun, Min and Chen, Hwann-Tzong}, title = {Direct Voxel Grid Optimization: Super-Fast Convergence for Radiance Fields Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5459-5469} }

Continual Test-Time Domain Adaptation

Qin Wang,

Olga Fink,

Luc Van Gool,

Dengxin Dai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Qin and Fink, Olga and Van Gool, Luc and Dai, Dengxin}, title = {Continual Test-Time Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7201-7211} }

URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement

Wenhui Wu,

Jian Weng,

Pingping Zhang,

Xu Wang,

Wenhan Yang,

Jianmin Jiang

[pdf] [supp]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Wenhui and Weng, Jian and Zhang, Pingping and Wang, Xu and Yang, Wenhan and Jiang, Jianmin}, title = {URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5901-5910} }

Towards Multi-Domain Single Image Dehazing via Test-Time Training

Huan Liu,

Zijun Wu,

Liangyan Li,

Sadaf Salehkalaibar,

Jun Chen,

Keyan Wang

[pdf]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Huan and Wu, Zijun and Li, Liangyan and Salehkalaibar, Sadaf and Chen, Jun and Wang, Keyan}, title = {Towards Multi-Domain Single Image Dehazing via Test-Time Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5831-5840} }

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces From 3D MRI Scans With Geometric Deep Neural Networks

Fabian Bongratz,

Anne-Marie Rickmann,

Sebastian Pölsterl,

Christian Wachinger

[pdf] [supp]

[bibtex]

@InProceedings{Bongratz_2022_CVPR, author = {Bongratz, Fabian and Rickmann, Anne-Marie and P\"olsterl, Sebastian and Wachinger, Christian}, title = {Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces From 3D MRI Scans With Geometric Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20773-20783} }

Deep Safe Multi-View Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase

Huayi Tang,

Yong Liu

[pdf] [supp]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Huayi and Liu, Yong}, title = {Deep Safe Multi-View Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {202-211} }

Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information

Lingfeng Yang,

Xiang Li,

Renjie Song,

Borui Zhao,

Juntian Tao,

Shihao Zhou,

Jiajun Liang,

Jian Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Lingfeng and Li, Xiang and Song, Renjie and Zhao, Borui and Tao, Juntian and Zhou, Shihao and Liang, Jiajun and Yang, Jian}, title = {Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10945-10954} }

HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network

Chang Yu,

Xiangyu Zhu,

Xiaomei Zhang,

Zidu Wang,

Zhaoxiang Zhang,

Zhen Lei

[pdf] [supp]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Chang and Zhu, Xiangyu and Zhang, Xiaomei and Wang, Zidu and Zhang, Zhaoxiang and Lei, Zhen}, title = {HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4032-4041} }

ScanQA: 3D Question Answering for Spatial Scene Understanding

Daichi Azuma,

Taiki Miyanishi,

Shuhei Kurita,

Motoaki Kawanabe

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Azuma_2022_CVPR, author = {Azuma, Daichi and Miyanishi, Taiki and Kurita, Shuhei and Kawanabe, Motoaki}, title = {ScanQA: 3D Question Answering for Spatial Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19129-19139} }

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-Based Visual Question Answering

Yang Ding,

Jing Yu,

Bang Liu,

Yue Hu,

Mingxin Cui,

Qi Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Yang and Yu, Jing and Liu, Bang and Hu, Yue and Cui, Mingxin and Wu, Qi}, title = {MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-Based Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5089-5098} }

Class-Incremental Learning by Knowledge Distillation With Adaptive Feature Consolidation

Minsoo Kang,

Jaeyoo Park,

Bohyung Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kang_2022_CVPR, author = {Kang, Minsoo and Park, Jaeyoo and Han, Bohyung}, title = {Class-Incremental Learning by Knowledge Distillation With Adaptive Feature Consolidation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16071-16080} }

Learning Program Representations for Food Images and Cooking Recipes

Dim P. Papadopoulos,

Enrique Mora,

Nadiia Chepurko,

Kuan Wei Huang,

Ferda Ofli,

Antonio Torralba

[pdf] [arXiv]

[bibtex]

@InProceedings{Papadopoulos_2022_CVPR, author = {Papadopoulos, Dim P. and Mora, Enrique and Chepurko, Nadiia and Huang, Kuan Wei and Ofli, Ferda and Torralba, Antonio}, title = {Learning Program Representations for Food Images and Cooking Recipes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16559-16569} }

Bending Graphs: Hierarchical Shape Matching Using Gated Optimal Transport

Mahdi Saleh,

Shun-Cheng Wu,

Luca Cosmo,

Nassir Navab,

Benjamin Busam,

Federico Tombari

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Saleh_2022_CVPR, author = {Saleh, Mahdi and Wu, Shun-Cheng and Cosmo, Luca and Navab, Nassir and Busam, Benjamin and Tombari, Federico}, title = {Bending Graphs: Hierarchical Shape Matching Using Gated Optimal Transport}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11757-11767} }

Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering

Feng Gao,

Qing Ping,

Govind Thattai,

Aishwarya Reganti,

Ying Nian Wu,

Prem Natarajan

[pdf] [supp]

[bibtex]

@InProceedings{Gao_2022_CVPR, author = {Gao, Feng and Ping, Qing and Thattai, Govind and Reganti, Aishwarya and Wu, Ying Nian and Natarajan, Prem}, title = {Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5067-5077} }

Federated Learning With Position-Aware Neurons

Xin-Chun Li,

Yi-Chu Xu,

Shaoming Song,

Bingshuai Li,

Yinchuan Li,

Yunfeng Shao,

De-Chuan Zhan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Xin-Chun and Xu, Yi-Chu and Song, Shaoming and Li, Bingshuai and Li, Yinchuan and Shao, Yunfeng and Zhan, De-Chuan}, title = {Federated Learning With Position-Aware Neurons}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10082-10091} }

Fair Contrastive Learning for Facial Attribute Classification

Sungho Park,

Jewook Lee,

Pilhyeon Lee,

Sunhee Hwang,

Dohyung Kim,

Hyeran Byun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, Sungho and Lee, Jewook and Lee, Pilhyeon and Hwang, Sunhee and Kim, Dohyung and Byun, Hyeran}, title = {Fair Contrastive Learning for Facial Attribute Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10389-10398} }

MDAN: Multi-Level Dependent Attention Network for Visual Emotion Analysis

Liwen Xu,

Zhengtao Wang,

Bin Wu,

Simon Lui

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Liwen and Wang, Zhengtao and Wu, Bin and Lui, Simon}, title = {MDAN: Multi-Level Dependent Attention Network for Visual Emotion Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9479-9488} }

Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design

Xiran Fan,

Chun-Hao Yang,

Baba C. Vemuri

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Xiran and Yang, Chun-Hao and Vemuri, Baba C.}, title = {Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {356-365} }

BNUDC: A Two-Branched Deep Neural Network for Restoring Images From Under-Display Cameras

Jaihyun Koh,

Jangho Lee,

Sungroh Yoon

[pdf] [supp]

[bibtex]

@InProceedings{Koh_2022_CVPR, author = {Koh, Jaihyun and Lee, Jangho and Yoon, Sungroh}, title = {BNUDC: A Two-Branched Deep Neural Network for Restoring Images From Under-Display Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1950-1959} }

RGB-Depth Fusion GAN for Indoor Depth Completion

Haowen Wang,

Mingyuan Wang,

Zhengping Che,

Zhiyuan Xu,

Xiuquan Qiao,

Mengshi Qi,

Feifei Feng,

Jian Tang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Haowen and Wang, Mingyuan and Che, Zhengping and Xu, Zhiyuan and Qiao, Xiuquan and Qi, Mengshi and Feng, Feifei and Tang, Jian}, title = {RGB-Depth Fusion GAN for Indoor Depth Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6209-6218} }

Training Object Detectors From Scratch: An Empirical Study in the Era of Vision Transformer

Weixiang Hong,

Jiangwei Lao,

Wang Ren,

Jian Wang,

Jingdong Chen,

Wei Chu

[pdf]

[bibtex]

@InProceedings{Hong_2022_CVPR, author = {Hong, Weixiang and Lao, Jiangwei and Ren, Wang and Wang, Jian and Chen, Jingdong and Chu, Wei}, title = {Training Object Detectors From Scratch: An Empirical Study in the Era of Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4662-4671} }

RCL: Recurrent Continuous Localization for Temporal Action Detection

Qiang Wang,

Yanhao Zhang,

Yun Zheng,

Pan Pan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Qiang and Zhang, Yanhao and Zheng, Yun and Pan, Pan}, title = {RCL: Recurrent Continuous Localization for Temporal Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13566-13575} }

C2SLR: Consistency-Enhanced Continuous Sign Language Recognition

Ronglai Zuo,

Brian Mak

[pdf] [supp]

[bibtex]

@InProceedings{Zuo_2022_CVPR, author = {Zuo, Ronglai and Mak, Brian}, title = {C2SLR: Consistency-Enhanced Continuous Sign Language Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5131-5140} }

Human Trajectory Prediction With Momentary Observation

Jianhua Sun,

Yuxuan Li,

Liang Chai,

Hao-Shu Fang,

Yong-Lu Li,

Cewu Lu

[pdf]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Jianhua and Li, Yuxuan and Chai, Liang and Fang, Hao-Shu and Li, Yong-Lu and Lu, Cewu}, title = {Human Trajectory Prediction With Momentary Observation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6467-6476} }

FoggyStereo: Stereo Matching With Fog Volume Representation

Chengtang Yao,

Lidong Yu

[pdf] [supp]

[bibtex]

@InProceedings{Yao_2022_CVPR, author = {Yao, Chengtang and Yu, Lidong}, title = {FoggyStereo: Stereo Matching With Fog Volume Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13043-13052} }

Trajectory Optimization for Physics-Based Reconstruction of 3D Human Pose From Monocular Video

Erik Gärtner,

Mykhaylo Andriluka,

Hongyi Xu,

Cristian Sminchisescu

[pdf] [supp]

[bibtex]

@InProceedings{Gartner_2022_CVPR, author = {G\"artner, Erik and Andriluka, Mykhaylo and Xu, Hongyi and Sminchisescu, Cristian}, title = {Trajectory Optimization for Physics-Based Reconstruction of 3D Human Pose From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13106-13115} }

Directional Self-Supervised Learning for Heavy Image Augmentations

Yalong Bai,

Yifan Yang,

Wei Zhang,

Tao Mei

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bai_2022_CVPR, author = {Bai, Yalong and Yang, Yifan and Zhang, Wei and Mei, Tao}, title = {Directional Self-Supervised Learning for Heavy Image Augmentations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16692-16701} }

Lifelong Unsupervised Domain Adaptive Person Re-Identification With Coordinated Anti-Forgetting and Adaptation

Zhipeng Huang,

Zhizheng Zhang,

Cuiling Lan,

Wenjun Zeng,

Peng Chu,

Quanzeng You,

Jiang Wang,

Zicheng Liu,

Zheng-Jun Zha

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Zhipeng and Zhang, Zhizheng and Lan, Cuiling and Zeng, Wenjun and Chu, Peng and You, Quanzeng and Wang, Jiang and Liu, Zicheng and Zha, Zheng-Jun}, title = {Lifelong Unsupervised Domain Adaptive Person Re-Identification With Coordinated Anti-Forgetting and Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14288-14297} }

No-Reference Point Cloud Quality Assessment via Domain Adaptation

Qi Yang,

Yipeng Liu,

Siheng Chen,

Yiling Xu,

Jun Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Qi and Liu, Yipeng and Chen, Siheng and Xu, Yiling and Sun, Jun}, title = {No-Reference Point Cloud Quality Assessment via Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21179-21188} }

Generating Representative Samples for Few-Shot Classification

Jingyi Xu,

Hieu Le

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Jingyi and Le, Hieu}, title = {Generating Representative Samples for Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9003-9013} }

Comprehending and Ordering Semantics for Image Captioning

Yehao Li,

Yingwei Pan,

Ting Yao,

Tao Mei

[pdf]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yehao and Pan, Yingwei and Yao, Ting and Mei, Tao}, title = {Comprehending and Ordering Semantics for Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17990-17999} }

Dynamic Scene Graph Generation via Anticipatory Pre-Training

Yiming Li,

Xiaoshan Yang,

Changsheng Xu

[pdf]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yiming and Yang, Xiaoshan and Xu, Changsheng}, title = {Dynamic Scene Graph Generation via Anticipatory Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13874-13883} }

A Large-Scale Comprehensive Dataset and Copy-Overlap Aware Evaluation Protocol for Segment-Level Video Copy Detection

Sifeng He,

Xudong Yang,

Chen Jiang,

Gang Liang,

Wei Zhang,

Tan Pan,

Qing Wang,

Furong Xu,

Chunguang Li,

JinXiong Liu,

Hui Xu,

Kaiming Huang,

Yuan Cheng,

Feng Qian,

Xiaobo Zhang,

Lei Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Sifeng and Yang, Xudong and Jiang, Chen and Liang, Gang and Zhang, Wei and Pan, Tan and Wang, Qing and Xu, Furong and Li, Chunguang and Liu, JinXiong and Xu, Hui and Huang, Kaiming and Cheng, Yuan and Qian, Feng and Zhang, Xiaobo and Yang, Lei}, title = {A Large-Scale Comprehensive Dataset and Copy-Overlap Aware Evaluation Protocol for Segment-Level Video Copy Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21086-21095} }

GaTector: A Unified Framework for Gaze Object Prediction

Binglu Wang,

Tao Hu,

Baoshan Li,

Xiaojuan Chen,

Zhijie Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Binglu and Hu, Tao and Li, Baoshan and Chen, Xiaojuan and Zhang, Zhijie}, title = {GaTector: A Unified Framework for Gaze Object Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19588-19597} }

ELIC: Efficient Learned Image Compression With Unevenly Grouped Space-Channel Contextual Adaptive Coding

Dailan He,

Ziming Yang,

Weikun Peng,

Rui Ma,

Hongwei Qin,

Yan Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Dailan and Yang, Ziming and Peng, Weikun and Ma, Rui and Qin, Hongwei and Wang, Yan}, title = {ELIC: Efficient Learned Image Compression With Unevenly Grouped Space-Channel Contextual Adaptive Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5718-5727} }

CSWin Transformer: A General Vision Transformer Backbone With Cross-Shaped Windows

Xiaoyi Dong,

Jianmin Bao,

Dongdong Chen,

Weiming Zhang,

Nenghai Yu,

Lu Yuan,

Dong Chen,

Baining Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Xiaoyi and Bao, Jianmin and Chen, Dongdong and Zhang, Weiming and Yu, Nenghai and Yuan, Lu and Chen, Dong and Guo, Baining}, title = {CSWin Transformer: A General Vision Transformer Backbone With Cross-Shaped Windows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12124-12134} }

LaTr: Layout-Aware Transformer for Scene-Text VQA

Ali Furkan Biten,

Ron Litman,

Yusheng Xie,

Srikar Appalaraju,

R. Manmatha

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Biten_2022_CVPR, author = {Biten, Ali Furkan and Litman, Ron and Xie, Yusheng and Appalaraju, Srikar and Manmatha, R.}, title = {LaTr: Layout-Aware Transformer for Scene-Text VQA}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16548-16558} }

Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification

Jingzhou Chen,

Peng Wang,

Jian Liu,

Yuntao Qian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Jingzhou and Wang, Peng and Liu, Jian and Qian, Yuntao}, title = {Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4858-4867} }

ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks

WeiQin Chuah,

Ruwan Tennakoon,

Reza Hoseinnezhad,

Alireza Bab-Hadiashar,

David Suter

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chuah_2022_CVPR, author = {Chuah, WeiQin and Tennakoon, Ruwan and Hoseinnezhad, Reza and Bab-Hadiashar, Alireza and Suter, David}, title = {ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13022-13032} }

Enhancing Face Recognition With Self-Supervised 3D Reconstruction

Mingjie He,

Jie Zhang,

Shiguang Shan,

Xilin Chen

[pdf]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Mingjie and Zhang, Jie and Shan, Shiguang and Chen, Xilin}, title = {Enhancing Face Recognition With Self-Supervised 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4062-4071} }

HeadNeRF: A Real-Time NeRF-Based Parametric Head Model

Yang Hong,

Bo Peng,

Haiyao Xiao,

Ligang Liu,

Juyong Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Hong_2022_CVPR, author = {Hong, Yang and Peng, Bo and Xiao, Haiyao and Liu, Ligang and Zhang, Juyong}, title = {HeadNeRF: A Real-Time NeRF-Based Parametric Head Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20374-20384} }

FvOR: Robust Joint Shape and Pose Optimization for Few-View Object Reconstruction

Zhenpei Yang,

Zhile Ren,

Miguel Angel Bautista,

Zaiwei Zhang,

Qi Shan,

Qixing Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Zhenpei and Ren, Zhile and Bautista, Miguel Angel and Zhang, Zaiwei and Shan, Qi and Huang, Qixing}, title = {FvOR: Robust Joint Shape and Pose Optimization for Few-View Object Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2497-2507} }

Reduce Information Loss in Transformers for Pluralistic Image Inpainting

Qiankun Liu,

Zhentao Tan,

Dongdong Chen,

Qi Chu,

Xiyang Dai,

Yinpeng Chen,

Mengchen Liu,

Lu Yuan,

Nenghai Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Qiankun and Tan, Zhentao and Chen, Dongdong and Chu, Qi and Dai, Xiyang and Chen, Yinpeng and Liu, Mengchen and Yuan, Lu and Yu, Nenghai}, title = {Reduce Information Loss in Transformers for Pluralistic Image Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11347-11357} }

Replacing Labeled Real-Image Datasets With Auto-Generated Contours

Hirokatsu Kataoka,

Ryo Hayamizu,

Ryosuke Yamada,

Kodai Nakashima,

Sora Takashima,

Xinyu Zhang,

Edgar Josafat Martinez-Noriega,

Nakamasa Inoue,

Rio Yokota

[pdf]

[bibtex]

@InProceedings{Kataoka_2022_CVPR, author = {Kataoka, Hirokatsu and Hayamizu, Ryo and Yamada, Ryosuke and Nakashima, Kodai and Takashima, Sora and Zhang, Xinyu and Martinez-Noriega, Edgar Josafat and Inoue, Nakamasa and Yokota, Rio}, title = {Replacing Labeled Real-Image Datasets With Auto-Generated Contours}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21232-21241} }

Cross-Modal Transferable Adversarial Attacks From Images to Videos

Zhipeng Wei,

Jingjing Chen,

Zuxuan Wu,

Yu-Gang Jiang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wei_2022_CVPR, author = {Wei, Zhipeng and Chen, Jingjing and Wu, Zuxuan and Jiang, Yu-Gang}, title = {Cross-Modal Transferable Adversarial Attacks From Images to Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15064-15073} }

Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection

Jingqun Tang,

Wenqing Zhang,

Hongye Liu,

MingKun Yang,

Bo Jiang,

Guanglong Hu,

Xiang Bai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Jingqun and Zhang, Wenqing and Liu, Hongye and Yang, MingKun and Jiang, Bo and Hu, Guanglong and Bai, Xiang}, title = {Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4563-4572} }

Do Explanations Explain? Model Knows Best

Ashkan Khakzar,

Pedram Khorsandi,

Rozhin Nobahari,

Nassir Navab

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Khakzar_2022_CVPR, author = {Khakzar, Ashkan and Khorsandi, Pedram and Nobahari, Rozhin and Navab, Nassir}, title = {Do Explanations Explain? Model Knows Best}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10244-10253} }

WebQA: Multihop and Multimodal QA

Yingshan Chang,

Mridu Narang,

Hisami Suzuki,

Guihong Cao,

Jianfeng Gao,

Yonatan Bisk

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chang_2022_CVPR, author = {Chang, Yingshan and Narang, Mridu and Suzuki, Hisami and Cao, Guihong and Gao, Jianfeng and Bisk, Yonatan}, title = {WebQA: Multihop and Multimodal QA}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16495-16504} }

Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture

Congcong Zhu,

Xintong Wan,

Shaorong Xie,

Xiaoqiang Li,

Yinzheng Gu

[pdf] [supp]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Congcong and Wan, Xintong and Xie, Shaorong and Li, Xiaoqiang and Gu, Yinzheng}, title = {Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11112-11121} }

BasicVSR++: Improving Video Super-Resolution With Enhanced Propagation and Alignment

Kelvin C.K. Chan,

Shangchen Zhou,

Xiangyu Xu,

Chen Change Loy

[pdf] [supp]

[bibtex]

@InProceedings{Chan_2022_CVPR, author = {Chan, Kelvin C.K. and Zhou, Shangchen and Xu, Xiangyu and Loy, Chen Change}, title = {BasicVSR++: Improving Video Super-Resolution With Enhanced Propagation and Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5972-5981} }

IDR: Self-Supervised Image Denoising via Iterative Data Refinement

Yi Zhang,

Dasong Li,

Ka Lung Law,

Xiaogang Wang,

Hongwei Qin,

Hongsheng Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yi and Li, Dasong and Law, Ka Lung and Wang, Xiaogang and Qin, Hongwei and Li, Hongsheng}, title = {IDR: Self-Supervised Image Denoising via Iterative Data Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2098-2107} }

MogFace: Towards a Deeper Appreciation on Face Detection

Yang Liu,

Fei Wang,

Jiankang Deng,

Zhipeng Zhou,

Baigui Sun,

Hao Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yang and Wang, Fei and Deng, Jiankang and Zhou, Zhipeng and Sun, Baigui and Li, Hao}, title = {MogFace: Towards a Deeper Appreciation on Face Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4093-4102} }

GuideFormer: Transformers for Image Guided Depth Completion

Kyeongha Rho,

Jinsung Ha,

Youngjung Kim

[pdf] [supp]

[bibtex]

@InProceedings{Rho_2022_CVPR, author = {Rho, Kyeongha and Ha, Jinsung and Kim, Youngjung}, title = {GuideFormer: Transformers for Image Guided Depth Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6250-6259} }

Multi-Label Iterated Learning for Image Classification With Label Ambiguity

Sai Rajeswar,

Pau Rodríguez,

Soumye Singhal,

David Vazquez,

Aaron Courville

[pdf] [supp]

[bibtex]

@InProceedings{Rajeswar_2022_CVPR, author = {Rajeswar, Sai and Rodr{\'\i}guez, Pau and Singhal, Soumye and Vazquez, David and Courville, Aaron}, title = {Multi-Label Iterated Learning for Image Classification With Label Ambiguity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4783-4793} }

Region-Aware Face Swapping

Chao Xu,

Jiangning Zhang,

Miao Hua,

Qian He,

Zili Yi,

Yong Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Chao and Zhang, Jiangning and Hua, Miao and He, Qian and Yi, Zili and Liu, Yong}, title = {Region-Aware Face Swapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7632-7641} }

Towards Language-Free Training for Text-to-Image Generation

Yufan Zhou,

Ruiyi Zhang,

Changyou Chen,

Chunyuan Li,

Chris Tensmeyer,

Tong Yu,

Jiuxiang Gu,

Jinhui Xu,

Tong Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Yufan and Zhang, Ruiyi and Chen, Changyou and Li, Chunyuan and Tensmeyer, Chris and Yu, Tong and Gu, Jiuxiang and Xu, Jinhui and Sun, Tong}, title = {Towards Language-Free Training for Text-to-Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17907-17917} }

Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers

Lixiang Ru,

Yibing Zhan,

Baosheng Yu,

Bo Du

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ru_2022_CVPR, author = {Ru, Lixiang and Zhan, Yibing and Yu, Baosheng and Du, Bo}, title = {Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16846-16855} }

Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees

Magzhan Gabidolla,

Miguel Á. Carreira-Perpiñán

[pdf] [supp]

[bibtex]

@InProceedings{Gabidolla_2022_CVPR, author = {Gabidolla, Magzhan and Carreira-Perpi\~n\'an, Miguel \'A.}, title = {Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {285-294} }

Physical Simulation Layer for Accurate 3D Modeling

Mariem Mezghanni,

Théo Bodrito,

Malika Boulkenafed,

Maks Ovsjanikov

[pdf] [supp]

[bibtex]

@InProceedings{Mezghanni_2022_CVPR, author = {Mezghanni, Mariem and Bodrito, Th\'eo and Boulkenafed, Malika and Ovsjanikov, Maks}, title = {Physical Simulation Layer for Accurate 3D Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13514-13523} }

Deformable Sprites for Unsupervised Video Decomposition

Vickie Ye,

Zhengqi Li,

Richard Tucker,

Angjoo Kanazawa,

Noah Snavely

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Vickie and Li, Zhengqi and Tucker, Richard and Kanazawa, Angjoo and Snavely, Noah}, title = {Deformable Sprites for Unsupervised Video Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2657-2666} }

CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation

Haisong Liu,

Tao Lu,

Yihui Xu,

Jia Liu,

Wenjie Li,

Lijun Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Haisong and Lu, Tao and Xu, Yihui and Liu, Jia and Li, Wenjie and Chen, Lijun}, title = {CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5791-5801} }

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

Yan Wang,

Yixuan Sun,

Yiwen Huang,

Zhongying Liu,

Shuyong Gao,

Wei Zhang,

Weifeng Ge,

Wenqiang Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yan and Sun, Yixuan and Huang, Yiwen and Liu, Zhongying and Gao, Shuyong and Zhang, Wei and Ge, Weifeng and Zhang, Wenqiang}, title = {FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20922-20931} }

Learning To Detect Mobile Objects From LiDAR Scans Without Labels

Yurong You,

Katie Luo,

Cheng Perng Phoo,

Wei-Lun Chao,

Wen Sun,

Bharath Hariharan,

Mark Campbell,

Kilian Q. Weinberger

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{You_2022_CVPR, author = {You, Yurong and Luo, Katie and Phoo, Cheng Perng and Chao, Wei-Lun and Sun, Wen and Hariharan, Bharath and Campbell, Mark and Weinberger, Kilian Q.}, title = {Learning To Detect Mobile Objects From LiDAR Scans Without Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1130-1140} }

BNV-Fusion: Dense 3D Reconstruction Using Bi-Level Neural Volume Fusion

Kejie Li,

Yansong Tang,

Victor Adrian Prisacariu,

Philip H.S. Torr

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Kejie and Tang, Yansong and Prisacariu, Victor Adrian and Torr, Philip H.S.}, title = {BNV-Fusion: Dense 3D Reconstruction Using Bi-Level Neural Volume Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6166-6175} }

Probabilistic Representations for Video Contrastive Learning

Jungin Park,

Jiyoung Lee,

Ig-Jae Kim,

Kwanghoon Sohn

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, Jungin and Lee, Jiyoung and Kim, Ig-Jae and Sohn, Kwanghoon}, title = {Probabilistic Representations for Video Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14711-14721} }

EnvEdit: Environment Editing for Vision-and-Language Navigation

Jialu Li,

Hao Tan,

Mohit Bansal

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jialu and Tan, Hao and Bansal, Mohit}, title = {EnvEdit: Environment Editing for Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15407-15417} }

Omnivore: A Single Model for Many Visual Modalities

Rohit Girdhar,

Mannat Singh,

Nikhila Ravi,

Laurens van der Maaten,

Armand Joulin,

Ishan Misra

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Girdhar_2022_CVPR, author = {Girdhar, Rohit and Singh, Mannat and Ravi, Nikhila and van der Maaten, Laurens and Joulin, Armand and Misra, Ishan}, title = {Omnivore: A Single Model for Many Visual Modalities}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16102-16112} }

Neural Shape Mating: Self-Supervised Object Assembly With Adversarial Shape Priors

Yun-Chun Chen,

Haoda Li,

Dylan Turpin,

Alec Jacobson,

Animesh Garg

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Yun-Chun and Li, Haoda and Turpin, Dylan and Jacobson, Alec and Garg, Animesh}, title = {Neural Shape Mating: Self-Supervised Object Assembly With Adversarial Shape Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12724-12733} }

Reflash Dropout in Image Super-Resolution

Xiangtao Kong,

Xina Liu,

Jinjin Gu,

Yu Qiao,

Chao Dong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kong_2022_CVPR, author = {Kong, Xiangtao and Liu, Xina and Gu, Jinjin and Qiao, Yu and Dong, Chao}, title = {Reflash Dropout in Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6002-6012} }

WildNet: Learning Domain Generalized Semantic Segmentation From the Wild

Suhyeon Lee,

Hongje Seong,

Seongwon Lee,

Euntai Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Suhyeon and Seong, Hongje and Lee, Seongwon and Kim, Euntai}, title = {WildNet: Learning Domain Generalized Semantic Segmentation From the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9936-9946} }

Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage

Zhuohang Li,

Jiaxin Zhang,

Luyang Liu,

Jian Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Zhuohang and Zhang, Jiaxin and Liu, Luyang and Liu, Jian}, title = {Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10132-10142} }

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

Haibao Yu,

Yizhen Luo,

Mao Shu,

Yiyi Huo,

Zebang Yang,

Yifeng Shi,

Zhenglong Guo,

Hanyu Li,

Xing Hu,

Jirui Yuan,

Zaiqing Nie

[pdf]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Haibao and Luo, Yizhen and Shu, Mao and Huo, Yiyi and Yang, Zebang and Shi, Yifeng and Guo, Zhenglong and Li, Hanyu and Hu, Xing and Yuan, Jirui and Nie, Zaiqing}, title = {DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21361-21370} }

DECORE: Deep Compression With Reinforcement Learning

Manoj Alwani,

Yang Wang,

Vashisht Madhavan

[pdf] [arXiv]

[bibtex]

@InProceedings{Alwani_2022_CVPR, author = {Alwani, Manoj and Wang, Yang and Madhavan, Vashisht}, title = {DECORE: Deep Compression With Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12349-12359} }

Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving

Peixuan Li,

Jieyu Jin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Peixuan and Jin, Jieyu}, title = {Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3885-3894} }

MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection

Qing Lian,

Peiliang Li,

Xiaozhi Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lian_2022_CVPR, author = {Lian, Qing and Li, Peiliang and Chen, Xiaozhi}, title = {MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1070-1079} }

Task Discrepancy Maximization for Fine-Grained Few-Shot Classification

SuBeen Lee,

WonJun Moon,

Jae-Pil Heo

[pdf] [supp]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, SuBeen and Moon, WonJun and Heo, Jae-Pil}, title = {Task Discrepancy Maximization for Fine-Grained Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5331-5340} }

FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction

Liang Gao,

Huazhu Fu,

Li Li,

Yingwen Chen,

Ming Xu,

Cheng-Zhong Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gao_2022_CVPR, author = {Gao, Liang and Fu, Huazhu and Li, Li and Chen, Yingwen and Xu, Ming and Xu, Cheng-Zhong}, title = {FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10112-10121} }

Efficient Classification of Very Large Images With Tiny Objects

Fanjie Kong,

Ricardo Henao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kong_2022_CVPR, author = {Kong, Fanjie and Henao, Ricardo}, title = {Efficient Classification of Very Large Images With Tiny Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2384-2394} }

SWEM: Towards Real-Time Video Object Segmentation With Sequential Weighted Expectation-Maximization

Zhihui Lin,

Tianyu Yang,

Maomao Li,

Ziyu Wang,

Chun Yuan,

Wenhao Jiang,

Wei Liu

[pdf] [supp]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Zhihui and Yang, Tianyu and Li, Maomao and Wang, Ziyu and Yuan, Chun and Jiang, Wenhao and Liu, Wei}, title = {SWEM: Towards Real-Time Video Object Segmentation With Sequential Weighted Expectation-Maximization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1362-1372} }

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

Yuenan Hou,

Xinge Zhu,

Yuexin Ma,

Chen Change Loy,

Yikang Li

[pdf] [supp]

[bibtex]

@InProceedings{Hou_2022_CVPR, author = {Hou, Yuenan and Zhu, Xinge and Ma, Yuexin and Loy, Chen Change and Li, Yikang}, title = {Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8479-8488} }

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers

Dominik Zietlow,

Michael Lohaus,

Guha Balakrishnan,

Matthäus Kleindessner,

Francesco Locatello,

Bernhard Schölkopf,

Chris Russell

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zietlow_2022_CVPR, author = {Zietlow, Dominik and Lohaus, Michael and Balakrishnan, Guha and Kleindessner, Matth\"aus and Locatello, Francesco and Sch\"olkopf, Bernhard and Russell, Chris}, title = {Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10410-10421} }

Generating Diverse 3D Reconstructions From a Single Occluded Face Image

Rahul Dey,

Vishnu Naresh Boddeti

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dey_2022_CVPR, author = {Dey, Rahul and Boddeti, Vishnu Naresh}, title = {Generating Diverse 3D Reconstructions From a Single Occluded Face Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1547-1557} }

RBGNet: Ray-Based Grouping for 3D Object Detection

Haiyang Wang,

Shaoshuai Shi,

Ze Yang,

Rongyao Fang,

Qi Qian,

Hongsheng Li,

Bernt Schiele,

Liwei Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Haiyang and Shi, Shaoshuai and Yang, Ze and Fang, Rongyao and Qian, Qi and Li, Hongsheng and Schiele, Bernt and Wang, Liwei}, title = {RBGNet: Ray-Based Grouping for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1110-1119} }

Stand-Alone Inter-Frame Attention in Video Models

Fuchen Long,

Zhaofan Qiu,

Yingwei Pan,

Ting Yao,

Jiebo Luo,

Tao Mei

[pdf]

[bibtex]

@InProceedings{Long_2022_CVPR, author = {Long, Fuchen and Qiu, Zhaofan and Pan, Yingwei and Yao, Ting and Luo, Jiebo and Mei, Tao}, title = {Stand-Alone Inter-Frame Attention in Video Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3192-3201} }

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation

Jogendra Nath Kundu,

Siddharth Seth,

Pradyumna YM,

Varun Jampani,

Anirban Chakraborty,

R. Venkatesh Babu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kundu_2022_CVPR, author = {Kundu, Jogendra Nath and Seth, Siddharth and YM, Pradyumna and Jampani, Varun and Chakraborty, Anirban and Babu, R. Venkatesh}, title = {Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20448-20459} }

Open-Domain, Content-Based, Multi-Modal Fact-Checking of Out-of-Context Images via Online Resources

Sahar Abdelnabi,

Rakibul Hasan,

Mario Fritz

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Abdelnabi_2022_CVPR, author = {Abdelnabi, Sahar and Hasan, Rakibul and Fritz, Mario}, title = {Open-Domain, Content-Based, Multi-Modal Fact-Checking of Out-of-Context Images via Online Resources}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14940-14949} }

Memory-Augmented Deep Conditional Unfolding Network for Pan-Sharpening

Gang Yang,

Man Zhou,

Keyu Yan,

Aiping Liu,

Xueyang Fu,

Fan Wang

[pdf]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Gang and Zhou, Man and Yan, Keyu and Liu, Aiping and Fu, Xueyang and Wang, Fan}, title = {Memory-Augmented Deep Conditional Unfolding Network for Pan-Sharpening}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1788-1797} }

Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer

Fushun Zhu,

Shan Zhao,

Peng Wang,

Hao Wang,

Hua Yan,

Shuaicheng Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Fushun and Zhao, Shan and Wang, Peng and Wang, Hao and Yan, Hua and Liu, Shuaicheng}, title = {Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19689-19698} }

Large-Scale Pre-Training for Person Re-Identification With Noisy Labels

Dengpan Fu,

Dongdong Chen,

Hao Yang,

Jianmin Bao,

Lu Yuan,

Lei Zhang,

Houqiang Li,

Fang Wen,

Dong Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fu_2022_CVPR, author = {Fu, Dengpan and Chen, Dongdong and Yang, Hao and Bao, Jianmin and Yuan, Lu and Zhang, Lei and Li, Houqiang and Wen, Fang and Chen, Dong}, title = {Large-Scale Pre-Training for Person Re-Identification With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2476-2486} }

Adiabatic Quantum Computing for Multi Object Tracking

Jan-Nico Zaech,

Alexander Liniger,

Martin Danelljan,

Dengxin Dai,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zaech_2022_CVPR, author = {Zaech, Jan-Nico and Liniger, Alexander and Danelljan, Martin and Dai, Dengxin and Van Gool, Luc}, title = {Adiabatic Quantum Computing for Multi Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8811-8822} }

Feature Erasing and Diffusion Network for Occluded Person Re-Identification

Zhikang Wang,

Feng Zhu,

Shixiang Tang,

Rui Zhao,

Lihuo He,

Jiangning Song

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhikang and Zhu, Feng and Tang, Shixiang and Zhao, Rui and He, Lihuo and Song, Jiangning}, title = {Feature Erasing and Diffusion Network for Occluded Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4754-4763} }

Is Mapping Necessary for Realistic PointGoal Navigation?

Ruslan Partsey,

Erik Wijmans,

Naoki Yokoyama,

Oles Dobosevych,

Dhruv Batra,

Oleksandr Maksymets

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Partsey_2022_CVPR, author = {Partsey, Ruslan and Wijmans, Erik and Yokoyama, Naoki and Dobosevych, Oles and Batra, Dhruv and Maksymets, Oleksandr}, title = {Is Mapping Necessary for Realistic PointGoal Navigation?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17232-17241} }

Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification

Yonghang Guan,

Jun Zhang,

Kuan Tian,

Sen Yang,

Pei Dong,

Jinxi Xiang,

Wei Yang,

Junzhou Huang,

Yuyao Zhang,

Xiao Han

[pdf]

[bibtex]

@InProceedings{Guan_2022_CVPR, author = {Guan, Yonghang and Zhang, Jun and Tian, Kuan and Yang, Sen and Dong, Pei and Xiang, Jinxi and Yang, Wei and Huang, Junzhou and Zhang, Yuyao and Han, Xiao}, title = {Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18813-18823} }

Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting

Min Shi,

Hao Lu,

Chen Feng,

Chengxin Liu,

Zhiguo Cao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Min and Lu, Hao and Feng, Chen and Liu, Chengxin and Cao, Zhiguo}, title = {Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9529-9538} }

Masked Feature Prediction for Self-Supervised Visual Pre-Training

Chen Wei,

Haoqi Fan,

Saining Xie,

Chao-Yuan Wu,

Alan Yuille,

Christoph Feichtenhofer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wei_2022_CVPR, author = {Wei, Chen and Fan, Haoqi and Xie, Saining and Wu, Chao-Yuan and Yuille, Alan and Feichtenhofer, Christoph}, title = {Masked Feature Prediction for Self-Supervised Visual Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14668-14678} }

Critical Regularizations for Neural Surface Reconstruction in the Wild

Jingyang Zhang,

Yao Yao,

Shiwei Li,

Tian Fang,

David McKinnon,

Yanghai Tsin,

Long Quan

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jingyang and Yao, Yao and Li, Shiwei and Fang, Tian and McKinnon, David and Tsin, Yanghai and Quan, Long}, title = {Critical Regularizations for Neural Surface Reconstruction in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6270-6279} }

EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning

Hao Zhu,

Piotr Koniusz

[pdf] [supp]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Hao and Koniusz, Piotr}, title = {EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9078-9088} }

Object-Relation Reasoning Graph for Action Recognition

Yangjun Ou,

Li Mi,

Zhenzhong Chen

[pdf]

[bibtex]

@InProceedings{Ou_2022_CVPR, author = {Ou, Yangjun and Mi, Li and Chen, Zhenzhong}, title = {Object-Relation Reasoning Graph for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20133-20142} }

Semantic Segmentation by Early Region Proxy

Yifan Zhang,

Bo Pang,

Cewu Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yifan and Pang, Bo and Lu, Cewu}, title = {Semantic Segmentation by Early Region Proxy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1258-1268} }

GIQE: Generic Image Quality Enhancement via Nth Order Iterative Degradation

Pranjay Shyam,

Kyung-Soo Kim,

Kuk-Jin Yoon

[pdf] [supp]

[bibtex]

@InProceedings{Shyam_2022_CVPR, author = {Shyam, Pranjay and Kim, Kyung-Soo and Yoon, Kuk-Jin}, title = {GIQE: Generic Image Quality Enhancement via Nth Order Iterative Degradation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2077-2087} }

Instance Segmentation With Mask-Supervised Polygonal Boundary Transformers

Justin Lazarow,

Weijian Xu,

Zhuowen Tu

[pdf]

[bibtex]

@InProceedings{Lazarow_2022_CVPR, author = {Lazarow, Justin and Xu, Weijian and Tu, Zhuowen}, title = {Instance Segmentation With Mask-Supervised Polygonal Boundary Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4382-4391} }

FaceVerse: A Fine-Grained and Detail-Controllable 3D Face Morphable Model From a Hybrid Dataset

Lizhen Wang,

Zhiyuan Chen,

Tao Yu,

Chenguang Ma,

Liang Li,

Yebin Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Lizhen and Chen, Zhiyuan and Yu, Tao and Ma, Chenguang and Li, Liang and Liu, Yebin}, title = {FaceVerse: A Fine-Grained and Detail-Controllable 3D Face Morphable Model From a Hybrid Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20333-20342} }

Bring Evanescent Representations to Life in Lifelong Class Incremental Learning

Marco Toldo,

Mete Ozay

[pdf] [supp]

[bibtex]

@InProceedings{Toldo_2022_CVPR, author = {Toldo, Marco and Ozay, Mete}, title = {Bring Evanescent Representations to Life in Lifelong Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16732-16741} }

Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures With Uncalibrated Stereo Data

Nikolay Patakin,

Anna Vorontsova,

Mikhail Artemyev,

Anton Konushin

[pdf] [supp]

[bibtex]

@InProceedings{Patakin_2022_CVPR, author = {Patakin, Nikolay and Vorontsova, Anna and Artemyev, Mikhail and Konushin, Anton}, title = {Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures With Uncalibrated Stereo Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1705-1714} }

LD-ConGR: A Large RGB-D Video Dataset for Long-Distance Continuous Gesture Recognition

Dan Liu,

Libo Zhang,

Yanjun Wu

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Dan and Zhang, Libo and Wu, Yanjun}, title = {LD-ConGR: A Large RGB-D Video Dataset for Long-Distance Continuous Gesture Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3304-3312} }

SimVQA: Exploring Simulated Environments for Visual Question Answering

Paola Cascante-Bonilla,

Hui Wu,

Letao Wang,

Rogerio S. Feris,

Vicente Ordonez

[pdf] [supp]

[bibtex]

@InProceedings{Cascante-Bonilla_2022_CVPR, author = {Cascante-Bonilla, Paola and Wu, Hui and Wang, Letao and Feris, Rogerio S. and Ordonez, Vicente}, title = {SimVQA: Exploring Simulated Environments for Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5056-5066} }

Thin-Plate Spline Motion Model for Image Animation

Jian Zhao,

Hui Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Jian and Zhang, Hui}, title = {Thin-Plate Spline Motion Model for Image Animation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3657-3666} }

Learning Local Displacements for Point Cloud Completion

Yida Wang,

David Joseph Tan,

Nassir Navab,

Federico Tombari

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yida and Tan, David Joseph and Navab, Nassir and Tombari, Federico}, title = {Learning Local Displacements for Point Cloud Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1568-1577} }

Human Hands As Probes for Interactive Object Understanding

Mohit Goyal,

Sahil Modi,

Rishabh Goyal,

Saurabh Gupta

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Goyal_2022_CVPR, author = {Goyal, Mohit and Modi, Sahil and Goyal, Rishabh and Gupta, Saurabh}, title = {Human Hands As Probes for Interactive Object Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3293-3303} }

Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training

Theodoros Tsiligkaridis,

Jay Roberts

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tsiligkaridis_2022_CVPR, author = {Tsiligkaridis, Theodoros and Roberts, Jay}, title = {Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {50-59} }

Certified Patch Robustness via Smoothed Vision Transformers

Hadi Salman,

Saachi Jain,

Eric Wong,

Aleksander Madry

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Salman_2022_CVPR, author = {Salman, Hadi and Jain, Saachi and Wong, Eric and Madry, Aleksander}, title = {Certified Patch Robustness via Smoothed Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15137-15147} }

Look Back and Forth: Video Super-Resolution With Explicit Temporal Difference Modeling

Takashi Isobe,

Xu Jia,

Xin Tao,

Changlin Li,

Ruihuang Li,

Yongjie Shi,

Jing Mu,

Huchuan Lu,

Yu-Wing Tai

[pdf] [arXiv]

[bibtex]

@InProceedings{Isobe_2022_CVPR, author = {Isobe, Takashi and Jia, Xu and Tao, Xin and Li, Changlin and Li, Ruihuang and Shi, Yongjie and Mu, Jing and Lu, Huchuan and Tai, Yu-Wing}, title = {Look Back and Forth: Video Super-Resolution With Explicit Temporal Difference Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17411-17420} }

UCC: Uncertainty Guided Cross-Head Co-Training for Semi-Supervised Semantic Segmentation

Jiashuo Fan,

Bin Gao,

Huan Jin,

Lihui Jiang

[pdf] [arXiv]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Jiashuo and Gao, Bin and Jin, Huan and Jiang, Lihui}, title = {UCC: Uncertainty Guided Cross-Head Co-Training for Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9947-9956} }

HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture

Ziyan Wang,

Giljoo Nam,

Tuur Stuyck,

Stephen Lombardi,

Michael Zollhöfer,

Jessica Hodgins,

Christoph Lassner

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Ziyan and Nam, Giljoo and Stuyck, Tuur and Lombardi, Stephen and Zollh\"ofer, Michael and Hodgins, Jessica and Lassner, Christoph}, title = {HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6143-6154} }

RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising

Michael Schelling,

Pedro Hermosilla,

Timo Ropinski

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Schelling_2022_CVPR, author = {Schelling, Michael and Hermosilla, Pedro and Ropinski, Timo}, title = {RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {671-680} }

Rethinking Visual Geo-Localization for Large-Scale Applications

Gabriele Berton,

Carlo Masone,

Barbara Caputo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Berton_2022_CVPR, author = {Berton, Gabriele and Masone, Carlo and Caputo, Barbara}, title = {Rethinking Visual Geo-Localization for Large-Scale Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4878-4888} }

Learning Based Multi-Modality Image and Video Compression

Guo Lu,

Tianxiong Zhong,

Jing Geng,

Qiang Hu,

Dong Xu

[pdf] [supp]

[bibtex]

@InProceedings{Lu_2022_CVPR, author = {Lu, Guo and Zhong, Tianxiong and Geng, Jing and Hu, Qiang and Xu, Dong}, title = {Learning Based Multi-Modality Image and Video Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6083-6092} }

A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration

Ramya Hebbalaguppe,

Jatin Prakash,

Neelabh Madan,

Chetan Arora

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hebbalaguppe_2022_CVPR, author = {Hebbalaguppe, Ramya and Prakash, Jatin and Madan, Neelabh and Arora, Chetan}, title = {A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16081-16090} }

The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy

Tianlong Chen,

Zhenyu Zhang,

Yu Cheng,

Ahmed Awadallah,

Zhangyang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Tianlong and Zhang, Zhenyu and Cheng, Yu and Awadallah, Ahmed and Wang, Zhangyang}, title = {The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12020-12030} }

Deep Image-Based Illumination Harmonization

Zhongyun Bao,

Chengjiang Long,

Gang Fu,

Daquan Liu,

Yuanzhen Li,

Jiaming Wu,

Chunxia Xiao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bao_2022_CVPR, author = {Bao, Zhongyun and Long, Chengjiang and Fu, Gang and Liu, Daquan and Li, Yuanzhen and Wu, Jiaming and Xiao, Chunxia}, title = {Deep Image-Based Illumination Harmonization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18542-18551} }

ViM: Out-of-Distribution With Virtual-Logit Matching

Haoqi Wang,

Zhizhong Li,

Litong Feng,

Wayne Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Haoqi and Li, Zhizhong and Feng, Litong and Zhang, Wayne}, title = {ViM: Out-of-Distribution With Virtual-Logit Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4921-4930} }

Active Learning by Feature Mixing

Amin Parvaneh,

Ehsan Abbasnejad,

Damien Teney,

Gholamreza (Reza) Haffari,

Anton van den Hengel,

Javen Qinfeng Shi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Parvaneh_2022_CVPR, author = {Parvaneh, Amin and Abbasnejad, Ehsan and Teney, Damien and Haffari, Gholamreza (Reza) and van den Hengel, Anton and Shi, Javen Qinfeng}, title = {Active Learning by Feature Mixing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12237-12246} }

Towards Accurate Facial Landmark Detection via Cascaded Transformers

Hui Li,

Zidong Guo,

Seon-Min Rhee,

Seungju Han,

Jae-Joon Han

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Hui and Guo, Zidong and Rhee, Seon-Min and Han, Seungju and Han, Jae-Joon}, title = {Towards Accurate Facial Landmark Detection via Cascaded Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4176-4185} }

Class-Aware Contrastive Semi-Supervised Learning

Fan Yang,

Kai Wu,

Shuyi Zhang,

Guannan Jiang,

Yong Liu,

Feng Zheng,

Wei Zhang,

Chengjie Wang,

Long Zeng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Fan and Wu, Kai and Zhang, Shuyi and Jiang, Guannan and Liu, Yong and Zheng, Feng and Zhang, Wei and Wang, Chengjie and Zeng, Long}, title = {Class-Aware Contrastive Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14421-14430} }

Long-Term Visual Map Sparsification With Heterogeneous GNN

Ming-Fang Chang,

Yipu Zhao,

Rajvi Shah,

Jakob J. Engel,

Michael Kaess,

Simon Lucey

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chang_2022_CVPR, author = {Chang, Ming-Fang and Zhao, Yipu and Shah, Rajvi and Engel, Jakob J. and Kaess, Michael and Lucey, Simon}, title = {Long-Term Visual Map Sparsification With Heterogeneous GNN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2406-2415} }

Debiased Learning From Naturally Imbalanced Pseudo-Labels

Xudong Wang,

Zhirong Wu,

Long Lian,

Stella X. Yu

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Xudong and Wu, Zhirong and Lian, Long and Yu, Stella X.}, title = {Debiased Learning From Naturally Imbalanced Pseudo-Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14647-14657} }

RNNPose: Recurrent 6-DoF Object Pose Refinement With Robust Correspondence Field Estimation and Pose Optimization

Yan Xu,

Kwan-Yee Lin,

Guofeng Zhang,

Xiaogang Wang,

Hongsheng Li

[pdf] [supp]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Yan and Lin, Kwan-Yee and Zhang, Guofeng and Wang, Xiaogang and Li, Hongsheng}, title = {RNNPose: Recurrent 6-DoF Object Pose Refinement With Robust Correspondence Field Estimation and Pose Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14880-14890} }

Ditto: Building Digital Twins of Articulated Objects From Interaction

Zhenyu Jiang,

Cheng-Chun Hsu,

Yuke Zhu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Zhenyu and Hsu, Cheng-Chun and Zhu, Yuke}, title = {Ditto: Building Digital Twins of Articulated Objects From Interaction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5616-5626} }

Dual-AI: Dual-Path Actor Interaction Learning for Group Activity Recognition

Mingfei Han,

David Junhao Zhang,

Yali Wang,

Rui Yan,

Lina Yao,

Xiaojun Chang,

Yu Qiao

[pdf] [supp]

[bibtex]

@InProceedings{Han_2022_CVPR, author = {Han, Mingfei and Zhang, David Junhao and Wang, Yali and Yan, Rui and Yao, Lina and Chang, Xiaojun and Qiao, Yu}, title = {Dual-AI: Dual-Path Actor Interaction Learning for Group Activity Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2990-2999} }

Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content From Parameterized Transformations

Mostofa Rafid Uddin,

Gregory Howe,

Xiangrui Zeng,

Min Xu

[pdf] [supp]

[bibtex]

@InProceedings{Uddin_2022_CVPR, author = {Uddin, Mostofa Rafid and Howe, Gregory and Zeng, Xiangrui and Xu, Min}, title = {Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content From Parameterized Transformations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20646-20655} }

Talking Face Generation With Multilingual TTS

Hyoung-Kyu Song,

Sang Hoon Woo,

Junhyeok Lee,

Seungmin Yang,

Hyunjae Cho,

Youseong Lee,

Dongho Choi,

Kang-wook Kim

[pdf] [arXiv]

[bibtex]

@InProceedings{Song_2022_CVPR, author = {Song, Hyoung-Kyu and Woo, Sang Hoon and Lee, Junhyeok and Yang, Seungmin and Cho, Hyunjae and Lee, Youseong and Choi, Dongho and Kim, Kang-wook}, title = {Talking Face Generation With Multilingual TTS}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21425-21430} }

A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres

Jinwoo Kim,

Heeseok Oh,

Seongjean Kim,

Hoseok Tong,

Sanghoon Lee

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Jinwoo and Oh, Heeseok and Kim, Seongjean and Tong, Hoseok and Lee, Sanghoon}, title = {A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3490-3500} }

Kernelized Few-Shot Object Detection With Efficient Integral Aggregation

Shan Zhang,

Lei Wang,

Naila Murray,

Piotr Koniusz

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Shan and Wang, Lei and Murray, Naila and Koniusz, Piotr}, title = {Kernelized Few-Shot Object Detection With Efficient Integral Aggregation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19207-19216} }

Transformer Based Line Segment Classifier With Image Context for Real-Time Vanishing Point Detection in Manhattan World

Xin Tong,

Xianghua Ying,

Yongjie Shi,

Ruibin Wang,

Jinfa Yang

[pdf]

[bibtex]

@InProceedings{Tong_2022_CVPR, author = {Tong, Xin and Ying, Xianghua and Shi, Yongjie and Wang, Ruibin and Yang, Jinfa}, title = {Transformer Based Line Segment Classifier With Image Context for Real-Time Vanishing Point Detection in Manhattan World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6093-6102} }

Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning

Kai Zhu,

Wei Zhai,

Yang Cao,

Jiebo Luo,

Zheng-Jun Zha

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Kai and Zhai, Wei and Cao, Yang and Luo, Jiebo and Zha, Zheng-Jun}, title = {Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9296-9305} }

Adaptive Early-Learning Correction for Segmentation From Noisy Annotations

Sheng Liu,

Kangning Liu,

Weicheng Zhu,

Yiqiu Shen,

Carlos Fernandez-Granda

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Sheng and Liu, Kangning and Zhu, Weicheng and Shen, Yiqiu and Fernandez-Granda, Carlos}, title = {Adaptive Early-Learning Correction for Segmentation From Noisy Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2606-2616} }

Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation

Huan Gao,

Jichang Guo,

Guoli Wang,

Qian Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gao_2022_CVPR, author = {Gao, Huan and Guo, Jichang and Wang, Guoli and Zhang, Qian}, title = {Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9913-9923} }

Context-Aware Video Reconstruction for Rolling Shutter Cameras

Bin Fan,

Yuchao Dai,

Zhiyuan Zhang,

Qi Liu,

Mingyi He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Bin and Dai, Yuchao and Zhang, Zhiyuan and Liu, Qi and He, Mingyi}, title = {Context-Aware Video Reconstruction for Rolling Shutter Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17572-17582} }

Towards Efficient Data Free Black-Box Adversarial Attack

Jie Zhang,

Bo Li,

Jianghe Xu,

Shuang Wu,

Shouhong Ding,

Lei Zhang,

Chao Wu

[pdf]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jie and Li, Bo and Xu, Jianghe and Wu, Shuang and Ding, Shouhong and Zhang, Lei and Wu, Chao}, title = {Towards Efficient Data Free Black-Box Adversarial Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15115-15125} }

Robust Contrastive Learning Against Noisy Views

Ching-Yao Chuang,

R Devon Hjelm,

Xin Wang,

Vibhav Vineet,

Neel Joshi,

Antonio Torralba,

Stefanie Jegelka,

Yale Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chuang_2022_CVPR, author = {Chuang, Ching-Yao and Hjelm, R Devon and Wang, Xin and Vineet, Vibhav and Joshi, Neel and Torralba, Antonio and Jegelka, Stefanie and Song, Yale}, title = {Robust Contrastive Learning Against Noisy Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16670-16681} }

More Than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech

Michael Hassid,

Michelle Tadmor Ramanovich,

Brendan Shillingford,

Miaosen Wang,

Ye Jia,

Tal Remez

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hassid_2022_CVPR, author = {Hassid, Michael and Ramanovich, Michelle Tadmor and Shillingford, Brendan and Wang, Miaosen and Jia, Ye and Remez, Tal}, title = {More Than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10587-10597} }

Cross-Modal Perceptionist: Can Face Geometry Be Gleaned From Voices?

Cho-Ying Wu,

Chin-Cheng Hsu,

Ulrich Neumann

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Cho-Ying and Hsu, Chin-Cheng and Neumann, Ulrich}, title = {Cross-Modal Perceptionist: Can Face Geometry Be Gleaned From Voices?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10452-10461} }

On Generalizing Beyond Domains in Cross-Domain Continual Learning

Christian Simon,

Masoud Faraki,

Yi-Hsuan Tsai,

Xiang Yu,

Samuel Schulter,

Yumin Suh,

Mehrtash Harandi,

Manmohan Chandraker

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Simon_2022_CVPR, author = {Simon, Christian and Faraki, Masoud and Tsai, Yi-Hsuan and Yu, Xiang and Schulter, Samuel and Suh, Yumin and Harandi, Mehrtash and Chandraker, Manmohan}, title = {On Generalizing Beyond Domains in Cross-Domain Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9265-9274} }

RSTT: Real-Time Spatial Temporal Transformer for Space-Time Video Super-Resolution

Zhicheng Geng,

Luming Liang,

Tianyu Ding,

Ilya Zharkov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Geng_2022_CVPR, author = {Geng, Zhicheng and Liang, Luming and Ding, Tianyu and Zharkov, Ilya}, title = {RSTT: Real-Time Spatial Temporal Transformer for Space-Time Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17441-17451} }

Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification

Jialun Liu,

Yifan Sun,

Feng Zhu,

Hongbin Pei,

Yi Yang,

Wenhui Li

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Jialun and Sun, Yifan and Zhu, Feng and Pei, Hongbin and Yang, Yi and Li, Wenhui}, title = {Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19366-19375} }

A Closer Look at Few-Shot Image Generation

Yunqing Zhao,

Henghui Ding,

Houjing Huang,

Ngai-Man Cheung

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Yunqing and Ding, Henghui and Huang, Houjing and Cheung, Ngai-Man}, title = {A Closer Look at Few-Shot Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9140-9150} }

Depth-Supervised NeRF: Fewer Views and Faster Training for Free

Kangle Deng,

Andrew Liu,

Jun-Yan Zhu,

Deva Ramanan

[pdf] [arXiv]

[bibtex]

@InProceedings{Deng_2022_CVPR, author = {Deng, Kangle and Liu, Andrew and Zhu, Jun-Yan and Ramanan, Deva}, title = {Depth-Supervised NeRF: Fewer Views and Faster Training for Free}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12882-12891} }

Unsupervised Domain Generalization by Learning a Bridge Across Domains

Sivan Harary,

Eli Schwartz,

Assaf Arbelle,

Peter Staar,

Shady Abu-Hussein,

Elad Amrani,

Roei Herzig,

Amit Alfassy,

Raja Giryes,

Hilde Kuehne,

Dina Katabi,

Kate Saenko,

Rogerio S. Feris,

Leonid Karlinsky

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Harary_2022_CVPR, author = {Harary, Sivan and Schwartz, Eli and Arbelle, Assaf and Staar, Peter and Abu-Hussein, Shady and Amrani, Elad and Herzig, Roei and Alfassy, Amit and Giryes, Raja and Kuehne, Hilde and Katabi, Dina and Saenko, Kate and Feris, Rogerio S. and Karlinsky, Leonid}, title = {Unsupervised Domain Generalization by Learning a Bridge Across Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5280-5290} }

Partial Class Activation Attention for Semantic Segmentation

Sun-Ao Liu,

Hongtao Xie,

Hai Xu,

Yongdong Zhang,

Qi Tian

[pdf]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Sun-Ao and Xie, Hongtao and Xu, Hai and Zhang, Yongdong and Tian, Qi}, title = {Partial Class Activation Attention for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16836-16845} }

Multi-Scale Memory-Based Video Deblurring

Bo Ji,

Angela Yao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ji_2022_CVPR, author = {Ji, Bo and Yao, Angela}, title = {Multi-Scale Memory-Based Video Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1919-1928} }

SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters

Albert Mosella-Montoro,

Javier Ruiz-Hidalgo

[pdf] [supp]

[bibtex]

@InProceedings{Mosella-Montoro_2022_CVPR, author = {Mosella-Montoro, Albert and Ruiz-Hidalgo, Javier}, title = {SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18593-18602} }

A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching

Paul Roetzer,

Paul Swoboda,

Daniel Cremers,

Florian Bernard

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Roetzer_2022_CVPR, author = {Roetzer, Paul and Swoboda, Paul and Cremers, Daniel and Bernard, Florian}, title = {A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {428-438} }

Learning Trajectory-Aware Transformer for Video Super-Resolution

Chengxu Liu,

Huan Yang,

Jianlong Fu,

Xueming Qian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Chengxu and Yang, Huan and Fu, Jianlong and Qian, Xueming}, title = {Learning Trajectory-Aware Transformer for Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5687-5696} }

Differentiable Dynamics for Articulated 3D Human Motion Reconstruction

Erik Gärtner,

Mykhaylo Andriluka,

Erwin Coumans,

Cristian Sminchisescu

[pdf] [supp]

[bibtex]

@InProceedings{Gartner_2022_CVPR, author = {G\"artner, Erik and Andriluka, Mykhaylo and Coumans, Erwin and Sminchisescu, Cristian}, title = {Differentiable Dynamics for Articulated 3D Human Motion Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13190-13200} }

Geometric Structure Preserving Warp for Natural Image Stitching

Peng Du,

Jifeng Ning,

Jiguang Cui,

Shaoli Huang,

Xinchao Wang,

Jiaxin Wang

[pdf] [supp]

[bibtex]

@InProceedings{Du_2022_CVPR, author = {Du, Peng and Ning, Jifeng and Cui, Jiguang and Huang, Shaoli and Wang, Xinchao and Wang, Jiaxin}, title = {Geometric Structure Preserving Warp for Natural Image Stitching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3688-3696} }

GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping

Omid Taheri,

Vasileios Choutas,

Michael J. Black,

Dimitrios Tzionas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Taheri_2022_CVPR, author = {Taheri, Omid and Choutas, Vasileios and Black, Michael J. and Tzionas, Dimitrios}, title = {GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13263-13273} }

Multi-Robot Active Mapping via Neural Bipartite Graph Matching

Kai Ye,

Siyan Dong,

Qingnan Fan,

He Wang,

Li Yi,

Fei Xia,

Jue Wang,

Baoquan Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Kai and Dong, Siyan and Fan, Qingnan and Wang, He and Yi, Li and Xia, Fei and Wang, Jue and Chen, Baoquan}, title = {Multi-Robot Active Mapping via Neural Bipartite Graph Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14839-14848} }

Adversarial Texture for Fooling Person Detectors in the Physical World

Zhanhao Hu,

Siyuan Huang,

Xiaopei Zhu,

Fuchun Sun,

Bo Zhang,

Xiaolin Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Zhanhao and Huang, Siyuan and Zhu, Xiaopei and Sun, Fuchun and Zhang, Bo and Hu, Xiaolin}, title = {Adversarial Texture for Fooling Person Detectors in the Physical World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13307-13316} }

Focal Length and Object Pose Estimation via Render and Compare

Georgy Ponimatkin,

Yann Labbé,

Bryan Russell,

Mathieu Aubry,

Josef Sivic

[pdf] [supp]

[bibtex]

@InProceedings{Ponimatkin_2022_CVPR, author = {Ponimatkin, Georgy and Labb\'e, Yann and Russell, Bryan and Aubry, Mathieu and Sivic, Josef}, title = {Focal Length and Object Pose Estimation via Render and Compare}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3825-3834} }

TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed

Shian Du,

Yihong Luo,

Wei Chen,

Jian Xu,

Delu Zeng

[pdf] [supp]

[bibtex]

@InProceedings{Du_2022_CVPR, author = {Du, Shian and Luo, Yihong and Chen, Wei and Xu, Jian and Zeng, Delu}, title = {TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12570-12580} }

Arbitrary-Scale Image Synthesis

Evangelos Ntavelis,

Mohamad Shahbazi,

Iason Kastanis,

Radu Timofte,

Martin Danelljan,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ntavelis_2022_CVPR, author = {Ntavelis, Evangelos and Shahbazi, Mohamad and Kastanis, Iason and Timofte, Radu and Danelljan, Martin and Van Gool, Luc}, title = {Arbitrary-Scale Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11533-11542} }

Cross-Modal Representation Learning for Zero-Shot Action Recognition

Chung-Ching Lin,

Kevin Lin,

Lijuan Wang,

Zicheng Liu,

Linjie Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Chung-Ching and Lin, Kevin and Wang, Lijuan and Liu, Zicheng and Li, Linjie}, title = {Cross-Modal Representation Learning for Zero-Shot Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19978-19988} }

Conditional Prompt Learning for Vision-Language Models

Kaiyang Zhou,

Jingkang Yang,

Chen Change Loy,

Ziwei Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Kaiyang and Yang, Jingkang and Loy, Chen Change and Liu, Ziwei}, title = {Conditional Prompt Learning for Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16816-16825} }

Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification

Shengcai Liao,

Ling Shao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liao_2022_CVPR, author = {Liao, Shengcai and Shao, Ling}, title = {Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7359-7368} }

Retrieval-Based Spatially Adaptive Normalization for Semantic Image Synthesis

Yupeng Shi,

Xiao Liu,

Yuxiang Wei,

Zhongqin Wu,

Wangmeng Zuo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Yupeng and Liu, Xiao and Wei, Yuxiang and Wu, Zhongqin and Zuo, Wangmeng}, title = {Retrieval-Based Spatially Adaptive Normalization for Semantic Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11224-11233} }

Undoing the Damage of Label Shift for Cross-Domain Semantic Segmentation

Yahao Liu,

Jinhong Deng,

Jiale Tao,

Tong Chu,

Lixin Duan,

Wen Li

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yahao and Deng, Jinhong and Tao, Jiale and Chu, Tong and Duan, Lixin and Li, Wen}, title = {Undoing the Damage of Label Shift for Cross-Domain Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7042-7052} }

GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-Wise Voting

Yan Di,

Ruida Zhang,

Zhiqiang Lou,

Fabian Manhardt,

Xiangyang Ji,

Nassir Navab,

Federico Tombari

[pdf] [supp]

[bibtex]

@InProceedings{Di_2022_CVPR, author = {Di, Yan and Zhang, Ruida and Lou, Zhiqiang and Manhardt, Fabian and Ji, Xiangyang and Navab, Nassir and Tombari, Federico}, title = {GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-Wise Voting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6781-6791} }

Dynamic 3D Gaze From Afar: Deep Gaze Estimation From Temporal Eye-Head-Body Coordination

Soma Nonaka,

Shohei Nobuhara,

Ko Nishino

[pdf] [supp]

[bibtex]

@InProceedings{Nonaka_2022_CVPR, author = {Nonaka, Soma and Nobuhara, Shohei and Nishino, Ko}, title = {Dynamic 3D Gaze From Afar: Deep Gaze Estimation From Temporal Eye-Head-Body Coordination}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2192-2201} }

Expressive Talking Head Generation With Granular Audio-Visual Control

Borong Liang,

Yan Pan,

Zhizhi Guo,

Hang Zhou,

Zhibin Hong,

Xiaoguang Han,

Junyu Han,

Jingtuo Liu,

Errui Ding,

Jingdong Wang

[pdf] [supp]

[bibtex]

@InProceedings{Liang_2022_CVPR, author = {Liang, Borong and Pan, Yan and Guo, Zhizhi and Zhou, Hang and Hong, Zhibin and Han, Xiaoguang and Han, Junyu and Liu, Jingtuo and Ding, Errui and Wang, Jingdong}, title = {Expressive Talking Head Generation With Granular Audio-Visual Control}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3387-3396} }

Trustworthy Long-Tailed Classification

Bolian Li,

Zongbo Han,

Haining Li,

Huazhu Fu,

Changqing Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Bolian and Han, Zongbo and Li, Haining and Fu, Huazhu and Zhang, Changqing}, title = {Trustworthy Long-Tailed Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6970-6979} }

Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives

Xinke Li,

Henghui Ding,

Zekun Tong,

Yuwei Wu,

Yeow Meng Chee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Xinke and Ding, Henghui and Tong, Zekun and Wu, Yuwei and Chee, Yeow Meng}, title = {Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15947-15957} }

Mix and Localize: Localizing Sound Sources in Mixtures

Xixi Hu,

Ziyang Chen,

Andrew Owens

[pdf]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Xixi and Chen, Ziyang and Owens, Andrew}, title = {Mix and Localize: Localizing Sound Sources in Mixtures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10483-10492} }

FisherMatch: Semi-Supervised Rotation Regression via Entropy-Based Filtering

Yingda Yin,

Yingcheng Cai,

He Wang,

Baoquan Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yin_2022_CVPR, author = {Yin, Yingda and Cai, Yingcheng and Wang, He and Chen, Baoquan}, title = {FisherMatch: Semi-Supervised Rotation Regression via Entropy-Based Filtering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11164-11173} }

NPBG++: Accelerating Neural Point-Based Graphics

Ruslan Rakhimov,

Andrei-Timotei Ardelean,

Victor Lempitsky,

Evgeny Burnaev

[pdf] [supp]

[bibtex]

@InProceedings{Rakhimov_2022_CVPR, author = {Rakhimov, Ruslan and Ardelean, Andrei-Timotei and Lempitsky, Victor and Burnaev, Evgeny}, title = {NPBG++: Accelerating Neural Point-Based Graphics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15969-15979} }

SphericGAN: Semi-Supervised Hyper-Spherical Generative Adversarial Networks for Fine-Grained Image Synthesis

Tianyi Chen,

Yunfei Zhang,

Xiaoyang Huo,

Si Wu,

Yong Xu,

Hau San Wong

[pdf]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Tianyi and Zhang, Yunfei and Huo, Xiaoyang and Wu, Si and Xu, Yong and Wong, Hau San}, title = {SphericGAN: Semi-Supervised Hyper-Spherical Generative Adversarial Networks for Fine-Grained Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10001-10010} }

HairMapper: Removing Hair From Portraits Using GANs

Yiqian Wu,

Yong-Liang Yang,

Xiaogang Jin

[pdf] [supp]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Yiqian and Yang, Yong-Liang and Jin, Xiaogang}, title = {HairMapper: Removing Hair From Portraits Using GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4227-4236} }

Affine Medical Image Registration With Coarse-To-Fine Vision Transformer

Tony C. W. Mok,

Albert C. S. Chung

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mok_2022_CVPR, author = {Mok, Tony C. W. and Chung, Albert C. S.}, title = {Affine Medical Image Registration With Coarse-To-Fine Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20835-20844} }

SMPL-A: Modeling Person-Specific Deformable Anatomy

Hengtao Guo,

Benjamin Planche,

Meng Zheng,

Srikrishna Karanam,

Terrence Chen,

Ziyan Wu

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Hengtao and Planche, Benjamin and Zheng, Meng and Karanam, Srikrishna and Chen, Terrence and Wu, Ziyan}, title = {SMPL-A: Modeling Person-Specific Deformable Anatomy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20814-20823} }

Image Dehazing Transformer With Transmission-Aware 3D Position Embedding

Chun-Le Guo,

Qixin Yan,

Saeed Anwar,

Runmin Cong,

Wenqi Ren,

Chongyi Li

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Chun-Le and Yan, Qixin and Anwar, Saeed and Cong, Runmin and Ren, Wenqi and Li, Chongyi}, title = {Image Dehazing Transformer With Transmission-Aware 3D Position Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5812-5820} }

Out-of-Distribution Generalization With Causal Invariant Transformations

Ruoyu Wang,

Mingyang Yi,

Zhitang Chen,

Shengyu Zhu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Ruoyu and Yi, Mingyang and Chen, Zhitang and Zhu, Shengyu}, title = {Out-of-Distribution Generalization With Causal Invariant Transformations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {375-385} }

Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap

Jinke Li,

Xiao He,

Yang Wen,

Yuan Gao,

Xiaoqiang Cheng,

Dan Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jinke and He, Xiao and Wen, Yang and Gao, Yuan and Cheng, Xiaoqiang and Zhang, Dan}, title = {Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11809-11818} }

Dual-Key Multimodal Backdoors for Visual Question Answering

Matthew Walmer,

Karan Sikka,

Indranil Sur,

Abhinav Shrivastava,

Susmit Jha

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Walmer_2022_CVPR, author = {Walmer, Matthew and Sikka, Karan and Sur, Indranil and Shrivastava, Abhinav and Jha, Susmit}, title = {Dual-Key Multimodal Backdoors for Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15375-15385} }

A Differentiable Two-Stage Alignment Scheme for Burst Image Reconstruction With Large Shift

Shi Guo,

Xi Yang,

Jianqi Ma,

Gaofeng Ren,

Lei Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Shi and Yang, Xi and Ma, Jianqi and Ren, Gaofeng and Zhang, Lei}, title = {A Differentiable Two-Stage Alignment Scheme for Burst Image Reconstruction With Large Shift}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17472-17481} }

Unifying Panoptic Segmentation for Autonomous Driving

Oliver Zendel,

Matthias Schörghuber,

Bernhard Rainer,

Markus Murschitz,

Csaba Beleznai

[pdf] [supp]

[bibtex]

@InProceedings{Zendel_2022_CVPR, author = {Zendel, Oliver and Sch\"orghuber, Matthias and Rainer, Bernhard and Murschitz, Markus and Beleznai, Csaba}, title = {Unifying Panoptic Segmentation for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21351-21360} }

Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans From a Single Camera

Jae Shin Yoon,

Duygu Ceylan,

Tuanfeng Y. Wang,

Jingwan Lu,

Jimei Yang,

Zhixin Shu,

Hyun Soo Park

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yoon_2022_CVPR, author = {Yoon, Jae Shin and Ceylan, Duygu and Wang, Tuanfeng Y. and Lu, Jingwan and Yang, Jimei and Shu, Zhixin and Park, Hyun Soo}, title = {Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans From a Single Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3407-3417} }

On the Road to Online Adaptation for Semantic Image Segmentation

Riccardo Volpi,

Pau De Jorge,

Diane Larlus,

Gabriela Csurka

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Volpi_2022_CVPR, author = {Volpi, Riccardo and De Jorge, Pau and Larlus, Diane and Csurka, Gabriela}, title = {On the Road to Online Adaptation for Semantic Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19184-19195} }

Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes

Jon Donnelly,

Alina Jade Barnett,

Chaofan Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Donnelly_2022_CVPR, author = {Donnelly, Jon and Barnett, Alina Jade and Chen, Chaofan}, title = {Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10265-10275} }

Context-Aware Sequence Alignment Using 4D Skeletal Augmentation

Taein Kwon,

Bugra Tekin,

Siyu Tang,

Marc Pollefeys

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kwon_2022_CVPR, author = {Kwon, Taein and Tekin, Bugra and Tang, Siyu and Pollefeys, Marc}, title = {Context-Aware Sequence Alignment Using 4D Skeletal Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8172-8182} }

Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation

Yuyuan Liu,

Yu Tian,

Yuanhong Chen,

Fengbei Liu,

Vasileios Belagiannis,

Gustavo Carneiro

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yuyuan and Tian, Yu and Chen, Yuanhong and Liu, Fengbei and Belagiannis, Vasileios and Carneiro, Gustavo}, title = {Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4258-4267} }

Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition

Jiamin Wu,

Tianzhu Zhang,

Zhe Zhang,

Feng Wu,

Yongdong Zhang

[pdf]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Jiamin and Zhang, Tianzhu and Zhang, Zhe and Wu, Feng and Zhang, Yongdong}, title = {Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9151-9160} }

Focal Sparse Convolutional Networks for 3D Object Detection

Yukang Chen,

Yanwei Li,

Xiangyu Zhang,

Jian Sun,

Jiaya Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Yukang and Li, Yanwei and Zhang, Xiangyu and Sun, Jian and Jia, Jiaya}, title = {Focal Sparse Convolutional Networks for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5428-5437} }

Masked Autoencoders Are Scalable Vision Learners

Kaiming He,

Xinlei Chen,

Saining Xie,

Yanghao Li,

Piotr Dollár,

Ross Girshick

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Kaiming and Chen, Xinlei and Xie, Saining and Li, Yanghao and Doll\'ar, Piotr and Girshick, Ross}, title = {Masked Autoencoders Are Scalable Vision Learners}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16000-16009} }

Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling

Xumin Yu,

Lulu Tang,

Yongming Rao,

Tiejun Huang,

Jie Zhou,

Jiwen Lu

[pdf] [supp]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Xumin and Tang, Lulu and Rao, Yongming and Huang, Tiejun and Zhou, Jie and Lu, Jiwen}, title = {Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19313-19322} }

Nested Collaborative Learning for Long-Tailed Visual Recognition

Jun Li,

Zichang Tan,

Jun Wan,

Zhen Lei,

Guodong Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jun and Tan, Zichang and Wan, Jun and Lei, Zhen and Guo, Guodong}, title = {Nested Collaborative Learning for Long-Tailed Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6949-6958} }

Crowd Counting in the Frequency Domain

Weibo Shu,

Jia Wan,

Kay Chen Tan,

Sam Kwong,

Antoni B. Chan

[pdf] [supp]

[bibtex]

@InProceedings{Shu_2022_CVPR, author = {Shu, Weibo and Wan, Jia and Tan, Kay Chen and Kwong, Sam and Chan, Antoni B.}, title = {Crowd Counting in the Frequency Domain}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19618-19627} }

Restormer: Efficient Transformer for High-Resolution Image Restoration

Syed Waqas Zamir,

Aditya Arora,

Salman Khan,

Munawar Hayat,

Fahad Shahbaz Khan,

Ming-Hsuan Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zamir_2022_CVPR, author = {Zamir, Syed Waqas and Arora, Aditya and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Yang, Ming-Hsuan}, title = {Restormer: Efficient Transformer for High-Resolution Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5728-5739} }

STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction

Zheng Chang,

Xinfeng Zhang,

Shanshe Wang,

Siwei Ma,

Wen Gao

[pdf] [arXiv]

[bibtex]

@InProceedings{Chang_2022_CVPR, author = {Chang, Zheng and Zhang, Xinfeng and Wang, Shanshe and Ma, Siwei and Gao, Wen}, title = {STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13946-13955} }

Learning From Untrimmed Videos: Self-Supervised Video Representation Learning With Hierarchical Consistency

Zhiwu Qing,

Shiwei Zhang,

Ziyuan Huang,

Yi Xu,

Xiang Wang,

Mingqian Tang,

Changxin Gao,

Rong Jin,

Nong Sang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Qing_2022_CVPR, author = {Qing, Zhiwu and Zhang, Shiwei and Huang, Ziyuan and Xu, Yi and Wang, Xiang and Tang, Mingqian and Gao, Changxin and Jin, Rong and Sang, Nong}, title = {Learning From Untrimmed Videos: Self-Supervised Video Representation Learning With Hierarchical Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13821-13831} }

Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning With Pairwise Alignment

Zhipeng Ding,

Marc Niethammer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Zhipeng and Niethammer, Marc}, title = {Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning With Pairwise Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20784-20793} }

IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation

Lingtong Kong,

Boyuan Jiang,

Donghao Luo,

Wenqing Chu,

Xiaoming Huang,

Ying Tai,

Chengjie Wang,

Jie Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kong_2022_CVPR, author = {Kong, Lingtong and Jiang, Boyuan and Luo, Donghao and Chu, Wenqing and Huang, Xiaoming and Tai, Ying and Wang, Chengjie and Yang, Jie}, title = {IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1969-1978} }

Large Loss Matters in Weakly Supervised Multi-Label Classification

Youngwook Kim,

Jae Myung Kim,

Zeynep Akata,

Jungwoo Lee

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Youngwook and Kim, Jae Myung and Akata, Zeynep and Lee, Jungwoo}, title = {Large Loss Matters in Weakly Supervised Multi-Label Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14156-14165} }

Toward Practical Monocular Indoor Depth Estimation

Cho-Ying Wu,

Jialiang Wang,

Michael Hall,

Ulrich Neumann,

Shuochen Su

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Cho-Ying and Wang, Jialiang and Hall, Michael and Neumann, Ulrich and Su, Shuochen}, title = {Toward Practical Monocular Indoor Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3814-3824} }

Attention Concatenation Volume for Accurate and Efficient Stereo Matching

Gangwei Xu,

Junda Cheng,

Peng Guo,

Xin Yang

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Gangwei and Cheng, Junda and Guo, Peng and Yang, Xin}, title = {Attention Concatenation Volume for Accurate and Efficient Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12981-12990} }

Learning Distinctive Margin Toward Active Domain Adaptation

Ming Xie,

Yuxi Li,

Yabiao Wang,

Zekun Luo,

Zhenye Gan,

Zhongyi Sun,

Mingmin Chi,

Chengjie Wang,

Pei Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Ming and Li, Yuxi and Wang, Yabiao and Luo, Zekun and Gan, Zhenye and Sun, Zhongyi and Chi, Mingmin and Wang, Chengjie and Wang, Pei}, title = {Learning Distinctive Margin Toward Active Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7993-8002} }

Zero-Query Transfer Attacks on Context-Aware Object Detectors

Zikui Cai,

Shantanu Rane,

Alejandro E. Brito,

Chengyu Song,

Srikanth V. Krishnamurthy,

Amit K. Roy-Chowdhury,

M. Salman Asif

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cai_2022_CVPR, author = {Cai, Zikui and Rane, Shantanu and Brito, Alejandro E. and Song, Chengyu and Krishnamurthy, Srikanth V. and Roy-Chowdhury, Amit K. and Asif, M. Salman}, title = {Zero-Query Transfer Attacks on Context-Aware Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15024-15034} }

Neural Inertial Localization

Sachini Herath,

David Caruso,

Chen Liu,

Yufan Chen,

Yasutaka Furukawa

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Herath_2022_CVPR, author = {Herath, Sachini and Caruso, David and Liu, Chen and Chen, Yufan and Furukawa, Yasutaka}, title = {Neural Inertial Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6604-6613} }

Speed Up Object Detection on Gigapixel-Level Images With Patch Arrangement

Jiahao Fan,

Huabin Liu,

Wenjie Yang,

John See,

Aixin Zhang,

Weiyao Lin

[pdf]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Jiahao and Liu, Huabin and Yang, Wenjie and See, John and Zhang, Aixin and Lin, Weiyao}, title = {Speed Up Object Detection on Gigapixel-Level Images With Patch Arrangement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4653-4661} }

Finding Fallen Objects via Asynchronous Audio-Visual Integration

Chuang Gan,

Yi Gu,

Siyuan Zhou,

Jeremy Schwartz,

Seth Alter,

James Traer,

Dan Gutfreund,

Joshua B. Tenenbaum,

Josh H. McDermott,

Antonio Torralba

[pdf]

[bibtex]

@InProceedings{Gan_2022_CVPR, author = {Gan, Chuang and Gu, Yi and Zhou, Siyuan and Schwartz, Jeremy and Alter, Seth and Traer, James and Gutfreund, Dan and Tenenbaum, Joshua B. and McDermott, Josh H. and Torralba, Antonio}, title = {Finding Fallen Objects via Asynchronous Audio-Visual Integration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10523-10533} }

Learning sRGB-to-Raw-RGB De-Rendering With Content-Aware Metadata

Seonghyeon Nam,

Abhijith Punnappurath,

Marcus A. Brubaker,

Michael S. Brown

[pdf] [supp]

[bibtex]

@InProceedings{Nam_2022_CVPR, author = {Nam, Seonghyeon and Punnappurath, Abhijith and Brubaker, Marcus A. and Brown, Michael S.}, title = {Learning sRGB-to-Raw-RGB De-Rendering With Content-Aware Metadata}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17704-17713} }

GraftNet: Towards Domain Generalized Stereo Matching With a Broad-Spectrum and Task-Oriented Feature

Biyang Liu,

Huimin Yu,

Guodong Qi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Biyang and Yu, Huimin and Qi, Guodong}, title = {GraftNet: Towards Domain Generalized Stereo Matching With a Broad-Spectrum and Task-Oriented Feature}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13012-13021} }

Towards Total Recall in Industrial Anomaly Detection

Karsten Roth,

Latha Pemula,

Joaquin Zepeda,

Bernhard Schölkopf,

Thomas Brox,

Peter Gehler

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Roth_2022_CVPR, author = {Roth, Karsten and Pemula, Latha and Zepeda, Joaquin and Sch\"olkopf, Bernhard and Brox, Thomas and Gehler, Peter}, title = {Towards Total Recall in Industrial Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14318-14328} }

DTA: Physical Camouflage Attacks Using Differentiable Transformation Network

Naufal Suryanto,

Yongsu Kim,

Hyoeun Kang,

Harashta Tatimma Larasati,

Youngyeo Yun,

Thi-Thu-Huong Le,

Hunmin Yang,

Se-Yoon Oh,

Howon Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Suryanto_2022_CVPR, author = {Suryanto, Naufal and Kim, Yongsu and Kang, Hyoeun and Larasati, Harashta Tatimma and Yun, Youngyeo and Le, Thi-Thu-Huong and Yang, Hunmin and Oh, Se-Yoon and Kim, Howon}, title = {DTA: Physical Camouflage Attacks Using Differentiable Transformation Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15305-15314} }

Neural Recognition of Dashed Curves With Gestalt Law of Continuity

Hanyuan Liu,

Chengze Li,

Xueting Liu,

Tien-Tsin Wong

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Hanyuan and Li, Chengze and Liu, Xueting and Wong, Tien-Tsin}, title = {Neural Recognition of Dashed Curves With Gestalt Law of Continuity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1373-1382} }

Semi-Supervised Object Detection via Multi-Instance Alignment With Global Class Prototypes

Aoxue Li,

Peng Yuan,

Zhenguo Li

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Aoxue and Yuan, Peng and Li, Zhenguo}, title = {Semi-Supervised Object Detection via Multi-Instance Alignment With Global Class Prototypes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9809-9818} }

HODOR: High-Level Object Descriptors for Object Re-Segmentation in Video Learned From Static Images

Ali Athar,

Jonathon Luiten,

Alexander Hermans,

Deva Ramanan,

Bastian Leibe

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Athar_2022_CVPR, author = {Athar, Ali and Luiten, Jonathon and Hermans, Alexander and Ramanan, Deva and Leibe, Bastian}, title = {HODOR: High-Level Object Descriptors for Object Re-Segmentation in Video Learned From Static Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3022-3031} }

Point Cloud Color Constancy

Xiaoyan Xing,

Yanlin Qian,

Sibo Feng,

Yuhan Dong,

Jiří Matas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xing_2022_CVPR, author = {Xing, Xiaoyan and Qian, Yanlin and Feng, Sibo and Dong, Yuhan and Matas, Ji\v{r}{\'\i}}, title = {Point Cloud Color Constancy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19750-19759} }

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning

Wenjia Xu,

Yongqin Xian,

Jiuniu Wang,

Bernt Schiele,

Zeynep Akata

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Wenjia and Xian, Yongqin and Wang, Jiuniu and Schiele, Bernt and Akata, Zeynep}, title = {VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9316-9325} }

Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection

Choubo Ding,

Guansong Pang,

Chunhua Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Choubo and Pang, Guansong and Shen, Chunhua}, title = {Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7388-7398} }

MLSLT: Towards Multilingual Sign Language Translation

Aoxiong Yin,

Zhou Zhao,

Weike Jin,

Meng Zhang,

Xingshan Zeng,

Xiaofei He

[pdf] [supp]

[bibtex]

@InProceedings{Yin_2022_CVPR, author = {Yin, Aoxiong and Zhao, Zhou and Jin, Weike and Zhang, Meng and Zeng, Xingshan and He, Xiaofei}, title = {MLSLT: Towards Multilingual Sign Language Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5109-5119} }

Towards an End-to-End Framework for Flow-Guided Video Inpainting

Zhen Li,

Cheng-Ze Lu,

Jianhua Qin,

Chun-Le Guo,

Ming-Ming Cheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Zhen and Lu, Cheng-Ze and Qin, Jianhua and Guo, Chun-Le and Cheng, Ming-Ming}, title = {Towards an End-to-End Framework for Flow-Guided Video Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17562-17571} }

Contrastive Test-Time Adaptation

Dian Chen,

Dequan Wang,

Trevor Darrell,

Sayna Ebrahimi

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Dian and Wang, Dequan and Darrell, Trevor and Ebrahimi, Sayna}, title = {Contrastive Test-Time Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {295-305} }

Multimodal Colored Point Cloud to Image Alignment

Noam Rotstein,

Amit Bracha,

Ron Kimmel

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rotstein_2022_CVPR, author = {Rotstein, Noam and Bracha, Amit and Kimmel, Ron}, title = {Multimodal Colored Point Cloud to Image Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6656-6666} }

MotionAug: Augmentation With Physical Correction for Human Motion Prediction

Takahiro Maeda,

Norimichi Ukita

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Maeda_2022_CVPR, author = {Maeda, Takahiro and Ukita, Norimichi}, title = {MotionAug: Augmentation With Physical Correction for Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6427-6436} }

Active Teacher for Semi-Supervised Object Detection

Peng Mi,

Jianghang Lin,

Yiyi Zhou,

Yunhang Shen,

Gen Luo,

Xiaoshuai Sun,

Liujuan Cao,

Rongrong Fu,

Qiang Xu,

Rongrong Ji

[pdf]

[bibtex]

@InProceedings{Mi_2022_CVPR, author = {Mi, Peng and Lin, Jianghang and Zhou, Yiyi and Shen, Yunhang and Luo, Gen and Sun, Xiaoshuai and Cao, Liujuan and Fu, Rongrong and Xu, Qiang and Ji, Rongrong}, title = {Active Teacher for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14482-14491} }

CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data

Qi Yan,

Jianhao Zheng,

Simon Reding,

Shanci Li,

Iordan Doytchinov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yan_2022_CVPR, author = {Yan, Qi and Zheng, Jianhao and Reding, Simon and Li, Shanci and Doytchinov, Iordan}, title = {CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17358-17368} }

Audio-Adaptive Activity Recognition Across Video Domains

Yunhua Zhang,

Hazel Doughty,

Ling Shao,

Cees G. M. Snoek

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yunhua and Doughty, Hazel and Shao, Ling and Snoek, Cees G. M.}, title = {Audio-Adaptive Activity Recognition Across Video Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13791-13800} }

Collaborative Learning for Hand and Object Reconstruction With Attention-Guided Graph Convolution

Tze Ho Elden Tse,

Kwang In Kim,

Ales̆ Leonardis,

Hyung Jin Chang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tse_2022_CVPR, author = {Tse, Tze Ho Elden and Kim, Kwang In and Leonardis, Ales̆ and Chang, Hyung Jin}, title = {Collaborative Learning for Hand and Object Reconstruction With Attention-Guided Graph Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1664-1674} }

On Learning Contrastive Representations for Learning With Noisy Labels

Li Yi,

Sheng Liu,

Qi She,

A. Ian McLeod,

Boyu Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yi_2022_CVPR, author = {Yi, Li and Liu, Sheng and She, Qi and McLeod, A. Ian and Wang, Boyu}, title = {On Learning Contrastive Representations for Learning With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16682-16691} }

Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity

Yuntong Ye,

Changfeng Yu,

Yi Chang,

Lin Zhu,

Xi-Le Zhao,

Luxin Yan,

Yonghong Tian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Yuntong and Yu, Changfeng and Chang, Yi and Zhu, Lin and Zhao, Xi-Le and Yan, Luxin and Tian, Yonghong}, title = {Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5821-5830} }

Modeling Indirect Illumination for Inverse Rendering

Yuanqing Zhang,

Jiaming Sun,

Xingyi He,

Huan Fu,

Rongfei Jia,

Xiaowei Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yuanqing and Sun, Jiaming and He, Xingyi and Fu, Huan and Jia, Rongfei and Zhou, Xiaowei}, title = {Modeling Indirect Illumination for Inverse Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18643-18652} }

BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation

David B. Lindell,

Dave Van Veen,

Jeong Joon Park,

Gordon Wetzstein

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lindell_2022_CVPR, author = {Lindell, David B. and Van Veen, Dave and Park, Jeong Joon and Wetzstein, Gordon}, title = {BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16252-16262} }

Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation

Tianfei Zhou,

Meijie Zhang,

Fang Zhao,

Jianwu Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Tianfei and Zhang, Meijie and Zhao, Fang and Li, Jianwu}, title = {Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4299-4309} }

Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation

Zhaozheng Chen,

Tan Wang,

Xiongwei Wu,

Xian-Sheng Hua,

Hanwang Zhang,

Qianru Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Zhaozheng and Wang, Tan and Wu, Xiongwei and Hua, Xian-Sheng and Zhang, Hanwang and Sun, Qianru}, title = {Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {969-978} }

TransWeather: Transformer-Based Restoration of Images Degraded by Adverse Weather Conditions

Jeya Maria Jose Valanarasu,

Rajeev Yasarla,

Vishal M. Patel

[pdf] [arXiv]

[bibtex]

@InProceedings{Valanarasu_2022_CVPR, author = {Valanarasu, Jeya Maria Jose and Yasarla, Rajeev and Patel, Vishal M.}, title = {TransWeather: Transformer-Based Restoration of Images Degraded by Adverse Weather Conditions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2353-2363} }

Merry Go Round: Rotate a Frame and Fool a DNN

Daksh Thapar,

Aditya Nigam,

Chetan Arora

[pdf] [supp]

[bibtex]

@InProceedings{Thapar_2022_CVPR, author = {Thapar, Daksh and Nigam, Aditya and Arora, Chetan}, title = {Merry Go Round: Rotate a Frame and Fool a DNN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15054-15063} }

H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection

Yunqiu Xu,

Yifan Sun,

Zongxin Yang,

Jiaxu Miao,

Yi Yang

[pdf] [supp]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Yunqiu and Sun, Yifan and Yang, Zongxin and Miao, Jiaxu and Yang, Yi}, title = {H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14329-14339} }

Modeling sRGB Camera Noise With Normalizing Flows

Shayan Kousha,

Ali Maleky,

Michael S. Brown,

Marcus A. Brubaker

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kousha_2022_CVPR, author = {Kousha, Shayan and Maleky, Ali and Brown, Michael S. and Brubaker, Marcus A.}, title = {Modeling sRGB Camera Noise With Normalizing Flows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17463-17471} }

A ConvNet for the 2020s

Zhuang Liu,

Hanzi Mao,

Chao-Yuan Wu,

Christoph Feichtenhofer,

Trevor Darrell,

Saining Xie

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Zhuang and Mao, Hanzi and Wu, Chao-Yuan and Feichtenhofer, Christoph and Darrell, Trevor and Xie, Saining}, title = {A ConvNet for the 2020s}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11976-11986} }

Reference-Based Video Super-Resolution Using Multi-Camera Video Triplets

Junyong Lee,

Myeonghee Lee,

Sunghyun Cho,

Seungyong Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Junyong and Lee, Myeonghee and Cho, Sunghyun and Lee, Seungyong}, title = {Reference-Based Video Super-Resolution Using Multi-Camera Video Triplets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17824-17833} }

Self-Supervised Image Representation Learning With Geometric Set Consistency

Nenglun Chen,

Lei Chu,

Hao Pan,

Yan Lu,

Wenping Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Nenglun and Chu, Lei and Pan, Hao and Lu, Yan and Wang, Wenping}, title = {Self-Supervised Image Representation Learning With Geometric Set Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19292-19302} }

Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement

Guang Yu,

Siqi Wang,

Zhiping Cai,

Xinwang Liu,

Chuanfu Xu,

Chengkun Wu

[pdf] [supp]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Guang and Wang, Siqi and Cai, Zhiping and Liu, Xinwang and Xu, Chuanfu and Wu, Chengkun}, title = {Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13987-13998} }

P3Depth: Monocular Depth Estimation With a Piecewise Planarity Prior

Vaishakh Patil,

Christos Sakaridis,

Alexander Liniger,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Patil_2022_CVPR, author = {Patil, Vaishakh and Sakaridis, Christos and Liniger, Alexander and Van Gool, Luc}, title = {P3Depth: Monocular Depth Estimation With a Piecewise Planarity Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1610-1621} }

GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection

Yue Liao,

Aixi Zhang,

Miao Lu,

Yongliang Wang,

Xiaobo Li,

Si Liu

[pdf]

[bibtex]

@InProceedings{Liao_2022_CVPR, author = {Liao, Yue and Zhang, Aixi and Lu, Miao and Wang, Yongliang and Li, Xiaobo and Liu, Si}, title = {GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20123-20132} }

Simple Multi-Dataset Detection

Xingyi Zhou,

Vladlen Koltun,

Philipp Krähenbühl

[pdf] [supp]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Xingyi and Koltun, Vladlen and Kr\"ahenb\"uhl, Philipp}, title = {Simple Multi-Dataset Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7571-7580} }

MLP-3D: A MLP-Like 3D Architecture With Grouped Time Mixing

Zhaofan Qiu,

Ting Yao,

Chong-Wah Ngo,

Tao Mei

[pdf]

[bibtex]

@InProceedings{Qiu_2022_CVPR, author = {Qiu, Zhaofan and Yao, Ting and Ngo, Chong-Wah and Mei, Tao}, title = {MLP-3D: A MLP-Like 3D Architecture With Grouped Time Mixing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3062-3072} }

Proactive Image Manipulation Detection

Vishal Asnani,

Xi Yin,

Tal Hassner,

Sijia Liu,

Xiaoming Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Asnani_2022_CVPR, author = {Asnani, Vishal and Yin, Xi and Hassner, Tal and Liu, Sijia and Liu, Xiaoming}, title = {Proactive Image Manipulation Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15386-15395} }

Sketch3T: Test-Time Training for Zero-Shot SBIR

Aneeshan Sain,

Ayan Kumar Bhunia,

Vaishnav Potlapalli,

Pinaki Nath Chowdhury,

Tao Xiang,

Yi-Zhe Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sain_2022_CVPR, author = {Sain, Aneeshan and Bhunia, Ayan Kumar and Potlapalli, Vaishnav and Chowdhury, Pinaki Nath and Xiang, Tao and Song, Yi-Zhe}, title = {Sketch3T: Test-Time Training for Zero-Shot SBIR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7462-7471} }

BANMo: Building Animatable 3D Neural Models From Many Casual Videos

Gengshan Yang,

Minh Vo,

Natalia Neverova,

Deva Ramanan,

Andrea Vedaldi,

Hanbyul Joo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Gengshan and Vo, Minh and Neverova, Natalia and Ramanan, Deva and Vedaldi, Andrea and Joo, Hanbyul}, title = {BANMo: Building Animatable 3D Neural Models From Many Casual Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2863-2873} }

StyTr2: Image Style Transfer With Transformers

Yingying Deng,

Fan Tang,

Weiming Dong,

Chongyang Ma,

Xingjia Pan,

Lei Wang,

Changsheng Xu

[pdf] [supp]

[bibtex]

@InProceedings{Deng_2022_CVPR, author = {Deng, Yingying and Tang, Fan and Dong, Weiming and Ma, Chongyang and Pan, Xingjia and Wang, Lei and Xu, Changsheng}, title = {StyTr2: Image Style Transfer With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11326-11336} }

Towards Discriminative Representation: Multi-View Trajectory Contrastive Learning for Online Multi-Object Tracking

En Yu,

Zhuoling Li,

Shoudong Han

[pdf] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, En and Li, Zhuoling and Han, Shoudong}, title = {Towards Discriminative Representation: Multi-View Trajectory Contrastive Learning for Online Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8834-8843} }

Global Matching With Overlapping Attention for Optical Flow Estimation

Shiyu Zhao,

Long Zhao,

Zhixing Zhang,

Enyu Zhou,

Dimitris Metaxas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Shiyu and Zhao, Long and Zhang, Zhixing and Zhou, Enyu and Metaxas, Dimitris}, title = {Global Matching With Overlapping Attention for Optical Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17592-17601} }

Language As Queries for Referring Video Object Segmentation

Jiannan Wu,

Yi Jiang,

Peize Sun,

Zehuan Yuan,

Ping Luo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Jiannan and Jiang, Yi and Sun, Peize and Yuan, Zehuan and Luo, Ping}, title = {Language As Queries for Referring Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4974-4984} }

Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving

Hanjiang Hu,

Zuxin Liu,

Sharad Chitlangia,

Akhil Agnihotri,

Ding Zhao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Hanjiang and Liu, Zuxin and Chitlangia, Sharad and Agnihotri, Akhil and Zhao, Ding}, title = {Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2550-2559} }

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

Yanghao Li,

Chao-Yuan Wu,

Haoqi Fan,

Karttikeya Mangalam,

Bo Xiong,

Jitendra Malik,

Christoph Feichtenhofer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yanghao and Wu, Chao-Yuan and Fan, Haoqi and Mangalam, Karttikeya and Xiong, Bo and Malik, Jitendra and Feichtenhofer, Christoph}, title = {MViTv2: Improved Multiscale Vision Transformers for Classification and Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4804-4814} }

Audio-Visual Generalised Zero-Shot Learning With Cross-Modal Attention and Language

Otniel-Bogdan Mercea,

Lukas Riesch,

A. Sophia Koepke,

Zeynep Akata

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mercea_2022_CVPR, author = {Mercea, Otniel-Bogdan and Riesch, Lukas and Koepke, A. Sophia and Akata, Zeynep}, title = {Audio-Visual Generalised Zero-Shot Learning With Cross-Modal Attention and Language}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10553-10563} }

Rethinking Efficient Lane Detection via Curve Modeling

Zhengyang Feng,

Shaohua Guo,

Xin Tan,

Ke Xu,

Min Wang,

Lizhuang Ma

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Feng_2022_CVPR, author = {Feng, Zhengyang and Guo, Shaohua and Tan, Xin and Xu, Ke and Wang, Min and Ma, Lizhuang}, title = {Rethinking Efficient Lane Detection via Curve Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17062-17070} }

GreedyNASv2: Greedier Search With a Greedy Path Filter

Tao Huang,

Shan You,

Fei Wang,

Chen Qian,

Changshui Zhang,

Xiaogang Wang,

Chang Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Tao and You, Shan and Wang, Fei and Qian, Chen and Zhang, Changshui and Wang, Xiaogang and Xu, Chang}, title = {GreedyNASv2: Greedier Search With a Greedy Path Filter}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11902-11911} }

Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation

Wenbo Zhao,

Xianming Liu,

Zhiwei Zhong,

Junjun Jiang,

Wei Gao,

Ge Li,

Xiangyang Ji

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Wenbo and Liu, Xianming and Zhong, Zhiwei and Jiang, Junjun and Gao, Wei and Li, Ge and Ji, Xiangyang}, title = {Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1999-2007} }

Co-Advise: Cross Inductive Bias Distillation

Sucheng Ren,

Zhengqi Gao,

Tianyu Hua,

Zihui Xue,

Yonglong Tian,

Shengfeng He,

Hang Zhao

[pdf]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Sucheng and Gao, Zhengqi and Hua, Tianyu and Xue, Zihui and Tian, Yonglong and He, Shengfeng and Zhao, Hang}, title = {Co-Advise: Cross Inductive Bias Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16773-16782} }

AdaMixer: A Fast-Converging Query-Based Object Detector

Ziteng Gao,

Limin Wang,

Bing Han,

Sheng Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gao_2022_CVPR, author = {Gao, Ziteng and Wang, Limin and Han, Bing and Guo, Sheng}, title = {AdaMixer: A Fast-Converging Query-Based Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5364-5373} }

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

Hongrun Zhang,

Yanda Meng,

Yitian Zhao,

Yihong Qiao,

Xiaoyun Yang,

Sarah E. Coupland,

Yalin Zheng

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Hongrun and Meng, Yanda and Zhao, Yitian and Qiao, Yihong and Yang, Xiaoyun and Coupland, Sarah E. and Zheng, Yalin}, title = {DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18802-18812} }

BEVT: BERT Pretraining of Video Transformers

Rui Wang,

Dongdong Chen,

Zuxuan Wu,

Yinpeng Chen,

Xiyang Dai,

Mengchen Liu,

Yu-Gang Jiang,

Luowei Zhou,

Lu Yuan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Rui and Chen, Dongdong and Wu, Zuxuan and Chen, Yinpeng and Dai, Xiyang and Liu, Mengchen and Jiang, Yu-Gang and Zhou, Luowei and Yuan, Lu}, title = {BEVT: BERT Pretraining of Video Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14733-14743} }

Deep Generalized Unfolding Networks for Image Restoration

Chong Mou,

Qian Wang,

Jian Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Mou_2022_CVPR, author = {Mou, Chong and Wang, Qian and Zhang, Jian}, title = {Deep Generalized Unfolding Networks for Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17399-17410} }

Automatic Relation-Aware Graph Network Proliferation

Shaofei Cai,

Liang Li,

Xinzhe Han,

Jiebo Luo,

Zheng-Jun Zha,

Qingming Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cai_2022_CVPR, author = {Cai, Shaofei and Li, Liang and Han, Xinzhe and Luo, Jiebo and Zha, Zheng-Jun and Huang, Qingming}, title = {Automatic Relation-Aware Graph Network Proliferation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10863-10873} }

AIM: An Auto-Augmenter for Images and Meshes

Vinit Veerendraveer Singh,

Chandra Kambhamettu

[pdf]

[bibtex]

@InProceedings{Singh_2022_CVPR, author = {Singh, Vinit Veerendraveer and Kambhamettu, Chandra}, title = {AIM: An Auto-Augmenter for Images and Meshes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {722-731} }

VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation

Su Ho Han,

Sukjun Hwang,

Seoung Wug Oh,

Yeonchool Park,

Hyunwoo Kim,

Min-Jung Kim,

Seon Joo Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Han_2022_CVPR, author = {Han, Su Ho and Hwang, Sukjun and Oh, Seoung Wug and Park, Yeonchool and Kim, Hyunwoo and Kim, Min-Jung and Kim, Seon Joo}, title = {VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2896-2905} }

Deep Unlearning via Randomized Conditionally Independent Hessians

Ronak Mehta,

Sourav Pal,

Vikas Singh,

Sathya N. Ravi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mehta_2022_CVPR, author = {Mehta, Ronak and Pal, Sourav and Singh, Vikas and Ravi, Sathya N.}, title = {Deep Unlearning via Randomized Conditionally Independent Hessians}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10422-10431} }

Patch-Level Representation Learning for Self-Supervised Vision Transformers

Sukmin Yun,

Hankook Lee,

Jaehyung Kim,

Jinwoo Shin

[pdf] [supp]

[bibtex]

@InProceedings{Yun_2022_CVPR, author = {Yun, Sukmin and Lee, Hankook and Kim, Jaehyung and Shin, Jinwoo}, title = {Patch-Level Representation Learning for Self-Supervised Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8354-8363} }

Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection

Li Yin,

Juan M. Perez-Rua,

Kevin J. Liang

[pdf]

[bibtex]

@InProceedings{Yin_2022_CVPR, author = {Yin, Li and Perez-Rua, Juan M. and Liang, Kevin J.}, title = {Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9035-9045} }

Incremental Learning in Semantic Segmentation From Image Labels

Fabio Cermelli,

Dario Fontanel,

Antonio Tavera,

Marco Ciccone,

Barbara Caputo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cermelli_2022_CVPR, author = {Cermelli, Fabio and Fontanel, Dario and Tavera, Antonio and Ciccone, Marco and Caputo, Barbara}, title = {Incremental Learning in Semantic Segmentation From Image Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4371-4381} }

Playable Environments: Video Manipulation in Space and Time

Willi Menapace,

Stéphane Lathuilière,

Aliaksandr Siarohin,

Christian Theobalt,

Sergey Tulyakov,

Vladislav Golyanik,

Elisa Ricci

[pdf] [supp]

[bibtex]

@InProceedings{Menapace_2022_CVPR, author = {Menapace, Willi and Lathuili\`ere, St\'ephane and Siarohin, Aliaksandr and Theobalt, Christian and Tulyakov, Sergey and Golyanik, Vladislav and Ricci, Elisa}, title = {Playable Environments: Video Manipulation in Space and Time}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3584-3593} }

Robust Cross-Modal Representation Learning With Progressive Self-Distillation

Alex Andonian,

Shixing Chen,

Raffay Hamid

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Andonian_2022_CVPR, author = {Andonian, Alex and Chen, Shixing and Hamid, Raffay}, title = {Robust Cross-Modal Representation Learning With Progressive Self-Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16430-16441} }

What To Look at and Where: Semantic and Spatial Refined Transformer for Detecting Human-Object Interactions

A S M Iftekhar,

Hao Chen,

Kaustav Kundu,

Xinyu Li,

Joseph Tighe,

Davide Modolo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Iftekhar_2022_CVPR, author = {Iftekhar, A S M and Chen, Hao and Kundu, Kaustav and Li, Xinyu and Tighe, Joseph and Modolo, Davide}, title = {What To Look at and Where: Semantic and Spatial Refined Transformer for Detecting Human-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5353-5363} }

Compressive Single-Photon 3D Cameras

Felipe Gutierrez-Barragan,

Atul Ingle,

Trevor Seets,

Mohit Gupta,

Andreas Velten

[pdf] [supp]

[bibtex]

@InProceedings{Gutierrez-Barragan_2022_CVPR, author = {Gutierrez-Barragan, Felipe and Ingle, Atul and Seets, Trevor and Gupta, Mohit and Velten, Andreas}, title = {Compressive Single-Photon 3D Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17854-17864} }

Stereo Magnification With Multi-Layer Images

Taras Khakhulin,

Denis Korzhenkov,

Pavel Solovev,

Gleb Sterkin,

Andrei-Timotei Ardelean,

Victor Lempitsky

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Khakhulin_2022_CVPR, author = {Khakhulin, Taras and Korzhenkov, Denis and Solovev, Pavel and Sterkin, Gleb and Ardelean, Andrei-Timotei and Lempitsky, Victor}, title = {Stereo Magnification With Multi-Layer Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8687-8696} }

CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data

Yunhui Guo,

Haoran Guo,

Stella X. Yu

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Yunhui and Guo, Haoran and Yu, Stella X.}, title = {CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21-30} }

Revisiting Skeleton-Based Action Recognition

Haodong Duan,

Yue Zhao,

Kai Chen,

Dahua Lin,

Bo Dai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Duan_2022_CVPR, author = {Duan, Haodong and Zhao, Yue and Chen, Kai and Lin, Dahua and Dai, Bo}, title = {Revisiting Skeleton-Based Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2969-2978} }

Rethinking Controllable Variational Autoencoders

Huajie Shao,

Yifei Yang,

Haohong Lin,

Longzhong Lin,

Yizhuo Chen,

Qinmin Yang,

Han Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Shao_2022_CVPR, author = {Shao, Huajie and Yang, Yifei and Lin, Haohong and Lin, Longzhong and Chen, Yizhuo and Yang, Qinmin and Zhao, Han}, title = {Rethinking Controllable Variational Autoencoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19250-19259} }

Contextual Instance Decoupling for Robust Multi-Person Pose Estimation

Dongkai Wang,

Shiliang Zhang

[pdf]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Dongkai and Zhang, Shiliang}, title = {Contextual Instance Decoupling for Robust Multi-Person Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11060-11068} }

LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking

Duy M. H. Nguyen,

Roberto Henschel,

Bodo Rosenhahn,

Daniel Sonntag,

Paul Swoboda

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nguyen_2022_CVPR, author = {Nguyen, Duy M. H. and Henschel, Roberto and Rosenhahn, Bodo and Sonntag, Daniel and Swoboda, Paul}, title = {LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8866-8875} }

Boosting Crowd Counting via Multifaceted Attention

Hui Lin,

Zhiheng Ma,

Rongrong Ji,

Yaowei Wang,

Xiaopeng Hong

[pdf] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Hui and Ma, Zhiheng and Ji, Rongrong and Wang, Yaowei and Hong, Xiaopeng}, title = {Boosting Crowd Counting via Multifaceted Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19628-19637} }

Stereo Depth From Events Cameras: Concentrate and Focus on the Future

Yeongwoo Nam,

Mohammad Mostafavi,

Kuk-Jin Yoon,

Jonghyun Choi

[pdf] [supp]

[bibtex]

@InProceedings{Nam_2022_CVPR, author = {Nam, Yeongwoo and Mostafavi, Mohammad and Yoon, Kuk-Jin and Choi, Jonghyun}, title = {Stereo Depth From Events Cameras: Concentrate and Focus on the Future}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6114-6123} }

A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection

Dongran Yu,

Bo Yang,

Qianhao Wei,

Anchen Li,

Shirui Pan

[pdf]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Dongran and Yang, Bo and Wei, Qianhao and Li, Anchen and Pan, Shirui}, title = {A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10609-10618} }

A Simple Data Mixing Prior for Improving Self-Supervised Learning

Sucheng Ren,

Huiyu Wang,

Zhengqi Gao,

Shengfeng He,

Alan Yuille,

Yuyin Zhou,

Cihang Xie

[pdf]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Sucheng and Wang, Huiyu and Gao, Zhengqi and He, Shengfeng and Yuille, Alan and Zhou, Yuyin and Xie, Cihang}, title = {A Simple Data Mixing Prior for Improving Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14595-14604} }

Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability

Ruifei He,

Shuyang Sun,

Jihan Yang,

Song Bai,

Xiaojuan Qi

[pdf] [supp]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Ruifei and Sun, Shuyang and Yang, Jihan and Bai, Song and Qi, Xiaojuan}, title = {Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9161-9171} }

LOLNerf: Learn From One Look

Daniel Rebain,

Mark Matthews,

Kwang Moo Yi,

Dmitry Lagun,

Andrea Tagliasacchi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rebain_2022_CVPR, author = {Rebain, Daniel and Matthews, Mark and Yi, Kwang Moo and Lagun, Dmitry and Tagliasacchi, Andrea}, title = {LOLNerf: Learn From One Look}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1558-1567} }

Geometry-Aware Guided Loss for Deep Crack Recognition

Zhuangzhuang Chen,

Jin Zhang,

Zhuonan Lai,

Jie Chen,

Zun Liu,

Jianqiang Li

[pdf]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Zhuangzhuang and Zhang, Jin and Lai, Zhuonan and Chen, Jie and Liu, Zun and Li, Jianqiang}, title = {Geometry-Aware Guided Loss for Deep Crack Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4703-4712} }

Multi-Modal Alignment Using Representation Codebook

Jiali Duan,

Liqun Chen,

Son Tran,

Jinyu Yang,

Yi Xu,

Belinda Zeng,

Trishul Chilimbi

[pdf] [arXiv]

[bibtex]

@InProceedings{Duan_2022_CVPR, author = {Duan, Jiali and Chen, Liqun and Tran, Son and Yang, Jinyu and Xu, Yi and Zeng, Belinda and Chilimbi, Trishul}, title = {Multi-Modal Alignment Using Representation Codebook}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15651-15660} }

Maintaining Reasoning Consistency in Compositional Visual Question Answering

Chenchen Jing,

Yunde Jia,

Yuwei Wu,

Xinyu Liu,

Qi Wu

[pdf] [supp]

[bibtex]

@InProceedings{Jing_2022_CVPR, author = {Jing, Chenchen and Jia, Yunde and Wu, Yuwei and Liu, Xinyu and Wu, Qi}, title = {Maintaining Reasoning Consistency in Compositional Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5099-5108} }

Structure-Aware Motion Transfer With Deformable Anchor Model

Jiale Tao,

Biao Wang,

Borun Xu,

Tiezheng Ge,

Yuning Jiang,

Wen Li,

Lixin Duan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tao_2022_CVPR, author = {Tao, Jiale and Wang, Biao and Xu, Borun and Ge, Tiezheng and Jiang, Yuning and Li, Wen and Duan, Lixin}, title = {Structure-Aware Motion Transfer With Deformable Anchor Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3637-3646} }

BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster

Jason (Jinquan) Dai,

Ding Ding,

Dongjie Shi,

Shengsheng Huang,

Jiao Wang,

Xin Qiu,

Kai Huang,

Guoqiong Song,

Yang Wang,

Qiyuan Gong,

Jiaming Song,

Shan Yu,

Le Zheng,

Yina Chen,

Junwei Deng,

Ge Song

[pdf] [supp]

[bibtex]

@InProceedings{Dai_2022_CVPR, author = {Dai, Jason (Jinquan) and Ding, Ding and Shi, Dongjie and Huang, Shengsheng and Wang, Jiao and Qiu, Xin and Huang, Kai and Song, Guoqiong and Wang, Yang and Gong, Qiyuan and Song, Jiaming and Yu, Shan and Zheng, Le and Chen, Yina and Deng, Junwei and Song, Ge}, title = {BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21439-21446} }

Integrative Few-Shot Learning for Classification and Segmentation

Dahyun Kang,

Minsu Cho

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kang_2022_CVPR, author = {Kang, Dahyun and Cho, Minsu}, title = {Integrative Few-Shot Learning for Classification and Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9979-9990} }

Acquiring a Dynamic Light Field Through a Single-Shot Coded Image

Ryoya Mizuno,

Keita Takahashi,

Michitaka Yoshida,

Chihiro Tsutake,

Toshiaki Fujii,

Hajime Nagahara

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mizuno_2022_CVPR, author = {Mizuno, Ryoya and Takahashi, Keita and Yoshida, Michitaka and Tsutake, Chihiro and Fujii, Toshiaki and Nagahara, Hajime}, title = {Acquiring a Dynamic Light Field Through a Single-Shot Coded Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19830-19840} }

Attentive Fine-Grained Structured Sparsity for Image Restoration

Junghun Oh,

Heewon Kim,

Seungjun Nah,

Cheeun Hong,

Jonghyun Choi,

Kyoung Mu Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Oh_2022_CVPR, author = {Oh, Junghun and Kim, Heewon and Nah, Seungjun and Hong, Cheeun and Choi, Jonghyun and Lee, Kyoung Mu}, title = {Attentive Fine-Grained Structured Sparsity for Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17673-17682} }

Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields Translation

Shengqu Cai,

Anton Obukhov,

Dengxin Dai,

Luc Van Gool

[pdf] [supp]

[bibtex]

@InProceedings{Cai_2022_CVPR, author = {Cai, Shengqu and Obukhov, Anton and Dai, Dengxin and Van Gool, Luc}, title = {Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3981-3990} }

HARA: A Hierarchical Approach for Robust Rotation Averaging

Seong Hun Lee,

Javier Civera

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Seong Hun and Civera, Javier}, title = {HARA: A Hierarchical Approach for Robust Rotation Averaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15777-15786} }

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

Konpat Preechakul,

Nattanat Chatthee,

Suttisak Wizadwongsa,

Supasorn Suwajanakorn

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Preechakul_2022_CVPR, author = {Preechakul, Konpat and Chatthee, Nattanat and Wizadwongsa, Suttisak and Suwajanakorn, Supasorn}, title = {Diffusion Autoencoders: Toward a Meaningful and Decodable Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10619-10629} }

Learning Fair Classifiers With Partially Annotated Group Labels

Sangwon Jung,

Sanghyuk Chun,

Taesup Moon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jung_2022_CVPR, author = {Jung, Sangwon and Chun, Sanghyuk and Moon, Taesup}, title = {Learning Fair Classifiers With Partially Annotated Group Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10348-10357} }

StylizedNeRF: Consistent 3D Scene Stylization As Stylized NeRF via 2D-3D Mutual Learning

Yi-Hua Huang,

Yue He,

Yu-Jie Yuan,

Yu-Kun Lai,

Lin Gao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Yi-Hua and He, Yue and Yuan, Yu-Jie and Lai, Yu-Kun and Gao, Lin}, title = {StylizedNeRF: Consistent 3D Scene Stylization As Stylized NeRF via 2D-3D Mutual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18342-18352} }

NightLab: A Dual-Level Architecture With Hardness Detection for Segmentation at Night

Xueqing Deng,

Peng Wang,

Xiaochen Lian,

Shawn Newsam

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Deng_2022_CVPR, author = {Deng, Xueqing and Wang, Peng and Lian, Xiaochen and Newsam, Shawn}, title = {NightLab: A Dual-Level Architecture With Hardness Detection for Segmentation at Night}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16938-16948} }

Knowledge Distillation With the Reused Teacher Classifier

Defang Chen,

Jian-Ping Mei,

Hailin Zhang,

Can Wang,

Yan Feng,

Chun Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Defang and Mei, Jian-Ping and Zhang, Hailin and Wang, Can and Feng, Yan and Chen, Chun}, title = {Knowledge Distillation With the Reused Teacher Classifier}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11933-11942} }

Contrastive Learning for Unsupervised Video Highlight Detection

Taivanbat Badamdorj,

Mrigank Rochan,

Yang Wang,

Li Cheng

[pdf]

[bibtex]

@InProceedings{Badamdorj_2022_CVPR, author = {Badamdorj, Taivanbat and Rochan, Mrigank and Wang, Yang and Cheng, Li}, title = {Contrastive Learning for Unsupervised Video Highlight Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14042-14052} }

InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition

Hyung-gun Chi,

Myoung Hoon Ha,

Seunggeun Chi,

Sang Wan Lee,

Qixing Huang,

Karthik Ramani

[pdf] [supp]

[bibtex]

@InProceedings{Chi_2022_CVPR, author = {Chi, Hyung-gun and Ha, Myoung Hoon and Chi, Seunggeun and Lee, Sang Wan and Huang, Qixing and Ramani, Karthik}, title = {InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20186-20196} }

Rethinking Image Cropping: Exploring Diverse Compositions From Global Views

Gengyun Jia,

Huaibo Huang,

Chaoyou Fu,

Ran He

[pdf] [supp]

[bibtex]

@InProceedings{Jia_2022_CVPR, author = {Jia, Gengyun and Huang, Huaibo and Fu, Chaoyou and He, Ran}, title = {Rethinking Image Cropping: Exploring Diverse Compositions From Global Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2446-2455} }

Constrained Few-Shot Class-Incremental Learning

Michael Hersche,

Geethan Karunaratne,

Giovanni Cherubini,

Luca Benini,

Abu Sebastian,

Abbas Rahimi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hersche_2022_CVPR, author = {Hersche, Michael and Karunaratne, Geethan and Cherubini, Giovanni and Benini, Luca and Sebastian, Abu and Rahimi, Abbas}, title = {Constrained Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9057-9067} }

Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks

Peri Akiva,

Matthew Purri,

Matthew Leotta

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Akiva_2022_CVPR, author = {Akiva, Peri and Purri, Matthew and Leotta, Matthew}, title = {Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8203-8215} }

Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds

Minhyun Lee,

Dongseob Kim,

Hyunjung Shim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Minhyun and Kim, Dongseob and Shim, Hyunjung}, title = {Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4330-4339} }

Data-Free Network Compression via Parametric Non-Uniform Mixed Precision Quantization

Vladimir Chikin,

Mikhail Antiukh

[pdf] [supp]

[bibtex]

@InProceedings{Chikin_2022_CVPR, author = {Chikin, Vladimir and Antiukh, Mikhail}, title = {Data-Free Network Compression via Parametric Non-Uniform Mixed Precision Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {450-459} }

Sparse to Dense Dynamic 3D Facial Expression Generation

Naima Otberdout,

Claudio Ferrari,

Mohamed Daoudi,

Stefano Berretti,

Alberto Del Bimbo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Otberdout_2022_CVPR, author = {Otberdout, Naima and Ferrari, Claudio and Daoudi, Mohamed and Berretti, Stefano and Del Bimbo, Alberto}, title = {Sparse to Dense Dynamic 3D Facial Expression Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20385-20394} }

Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints

Chengdong Dong,

Ajay Kumar,

Eryun Liu

[pdf] [supp]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Chengdong and Kumar, Ajay and Liu, Eryun}, title = {Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7865-7874} }

Crafting Better Contrastive Views for Siamese Representation Learning

Xiangyu Peng,

Kai Wang,

Zheng Zhu,

Mang Wang,

Yang You

[pdf] [arXiv]

[bibtex]

@InProceedings{Peng_2022_CVPR, author = {Peng, Xiangyu and Wang, Kai and Zhu, Zheng and Wang, Mang and You, Yang}, title = {Crafting Better Contrastive Views for Siamese Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16031-16040} }

RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning

Xiaoxiao Liang,

Yiqun Lin,

Huazhu Fu,

Lei Zhu,

Xiaomeng Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liang_2022_CVPR, author = {Liang, Xiaoxiao and Lin, Yiqun and Fu, Huazhu and Zhu, Lei and Li, Xiaomeng}, title = {RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10154-10163} }

TransMVSNet: Global Context-Aware Multi-View Stereo Network With Transformers

Yikang Ding,

Wentao Yuan,

Qingtian Zhu,

Haotian Zhang,

Xiangyue Liu,

Yuanjiang Wang,

Xiao Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Yikang and Yuan, Wentao and Zhu, Qingtian and Zhang, Haotian and Liu, Xiangyue and Wang, Yuanjiang and Liu, Xiao}, title = {TransMVSNet: Global Context-Aware Multi-View Stereo Network With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8585-8594} }

ROCA: Robust CAD Model Retrieval and Alignment From a Single Image

Can Gümeli,

Angela Dai,

Matthias Nießner

[pdf] [supp]

[bibtex]

@InProceedings{Gumeli_2022_CVPR, author = {G\"umeli, Can and Dai, Angela and Nie{\ss}ner, Matthias}, title = {ROCA: Robust CAD Model Retrieval and Alignment From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4022-4031} }

Continual Learning for Visual Search With Backward Consistent Feature Embedding

Timmy S. T. Wan,

Jun-Cheng Chen,

Tzer-Yi Wu,

Chu-Song Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wan_2022_CVPR, author = {Wan, Timmy S. T. and Chen, Jun-Cheng and Wu, Tzer-Yi and Chen, Chu-Song}, title = {Continual Learning for Visual Search With Backward Consistent Feature Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16702-16711} }

iFS-RCNN: An Incremental Few-Shot Instance Segmenter

Khoi Nguyen,

Sinisa Todorovic

[pdf] [supp]

[bibtex]

@InProceedings{Nguyen_2022_CVPR, author = {Nguyen, Khoi and Todorovic, Sinisa}, title = {iFS-RCNN: An Incremental Few-Shot Instance Segmenter}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7010-7019} }

DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis

Jia-Wei Chen,

Chia-Mu Yu,

Ching-Chia Kao,

Tzai-Wei Pang,

Chun-Shien Lu

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Jia-Wei and Yu, Chia-Mu and Kao, Ching-Chia and Pang, Tzai-Wei and Lu, Chun-Shien}, title = {DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8387-8396} }

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning

Zhixiang Chi,

Li Gu,

Huan Liu,

Yang Wang,

Yuanhao Yu,

Jin Tang

[pdf] [supp]

[bibtex]

@InProceedings{Chi_2022_CVPR, author = {Chi, Zhixiang and Gu, Li and Liu, Huan and Wang, Yang and Yu, Yuanhao and Tang, Jin}, title = {MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14166-14175} }

The Majority Can Help the Minority: Context-Rich Minority Oversampling for Long-Tailed Classification

Seulki Park,

Youngkyu Hong,

Byeongho Heo,

Sangdoo Yun,

Jin Young Choi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, Seulki and Hong, Youngkyu and Heo, Byeongho and Yun, Sangdoo and Choi, Jin Young}, title = {The Majority Can Help the Minority: Context-Rich Minority Oversampling for Long-Tailed Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6887-6896} }

Dense Depth Priors for Neural Radiance Fields From Sparse Input Views

Barbara Roessle,

Jonathan T. Barron,

Ben Mildenhall,

Pratul P. Srinivasan,

Matthias Nießner

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Roessle_2022_CVPR, author = {Roessle, Barbara and Barron, Jonathan T. and Mildenhall, Ben and Srinivasan, Pratul P. and Nie{\ss}ner, Matthias}, title = {Dense Depth Priors for Neural Radiance Fields From Sparse Input Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12892-12901} }

EyePAD++: A Distillation-Based Approach for Joint Eye Authentication and Presentation Attack Detection Using Periocular Images

Prithviraj Dhar,

Amit Kumar,

Kirsten Kaplan,

Khushi Gupta,

Rakesh Ranjan,

Rama Chellappa

[pdf] [supp]

[bibtex]

@InProceedings{Dhar_2022_CVPR, author = {Dhar, Prithviraj and Kumar, Amit and Kaplan, Kirsten and Gupta, Khushi and Ranjan, Rakesh and Chellappa, Rama}, title = {EyePAD++: A Distillation-Based Approach for Joint Eye Authentication and Presentation Attack Detection Using Periocular Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20218-20227} }

IntentVizor: Towards Generic Query Guided Interactive Video Summarization

Guande Wu,

Jianzhe Lin,

Claudio T. Silva

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Guande and Lin, Jianzhe and Silva, Claudio T.}, title = {IntentVizor: Towards Generic Query Guided Interactive Video Summarization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10503-10512} }

Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks

Wenwen Pan,

Haonan Shi,

Zhou Zhao,

Jieming Zhu,

Xiuqiang He,

Zhigeng Pan,

Lianli Gao,

Jun Yu,

Fei Wu,

Qi Tian

[pdf] [supp]

[bibtex]

@InProceedings{Pan_2022_CVPR, author = {Pan, Wenwen and Shi, Haonan and Zhao, Zhou and Zhu, Jieming and He, Xiuqiang and Pan, Zhigeng and Gao, Lianli and Yu, Jun and Wu, Fei and Tian, Qi}, title = {Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1320-1331} }

Camera Pose Estimation Using Implicit Distortion Models

Linfei Pan,

Marc Pollefeys,

Viktor Larsson

[pdf] [supp]

[bibtex]

@InProceedings{Pan_2022_CVPR, author = {Pan, Linfei and Pollefeys, Marc and Larsson, Viktor}, title = {Camera Pose Estimation Using Implicit Distortion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12819-12828} }

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations

Mehdi S. M. Sajjadi,

Henning Meyer,

Etienne Pot,

Urs Bergmann,

Klaus Greff,

Noha Radwan,

Suhani Vora,

Mario Lučić,

Daniel Duckworth,

Alexey Dosovitskiy,

Jakob Uszkoreit,

Thomas Funkhouser,

Andrea Tagliasacchi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sajjadi_2022_CVPR, author = {Sajjadi, Mehdi S. M. and Meyer, Henning and Pot, Etienne and Bergmann, Urs and Greff, Klaus and Radwan, Noha and Vora, Suhani and Lu\v{c}i\'c, Mario and Duckworth, Daniel and Dosovitskiy, Alexey and Uszkoreit, Jakob and Funkhouser, Thomas and Tagliasacchi, Andrea}, title = {Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6229-6238} }

Shape-Invariant 3D Adversarial Point Clouds

Qidong Huang,

Xiaoyi Dong,

Dongdong Chen,

Hang Zhou,

Weiming Zhang,

Nenghai Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Qidong and Dong, Xiaoyi and Chen, Dongdong and Zhou, Hang and Zhang, Weiming and Yu, Nenghai}, title = {Shape-Invariant 3D Adversarial Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15335-15344} }

LAS-AT: Adversarial Training With Learnable Attack Strategy

Xiaojun Jia,

Yong Zhang,

Baoyuan Wu,

Ke Ma,

Jue Wang,

Xiaochun Cao

[pdf] [supp]

[bibtex]

@InProceedings{Jia_2022_CVPR, author = {Jia, Xiaojun and Zhang, Yong and Wu, Baoyuan and Ma, Ke and Wang, Jue and Cao, Xiaochun}, title = {LAS-AT: Adversarial Training With Learnable Attack Strategy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13398-13408} }

Bootstrapping ViTs: Towards Liberating Vision Transformers From Pre-Training

Haofei Zhang,

Jiarui Duan,

Mengqi Xue,

Jie Song,

Li Sun,

Mingli Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Haofei and Duan, Jiarui and Xue, Mengqi and Song, Jie and Sun, Li and Song, Mingli}, title = {Bootstrapping ViTs: Towards Liberating Vision Transformers From Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8944-8953} }

PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents

Brandon Smock,

Rohith Pesala,

Robin Abraham

[pdf]

[bibtex]

@InProceedings{Smock_2022_CVPR, author = {Smock, Brandon and Pesala, Rohith and Abraham, Robin}, title = {PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4634-4642} }

Styleformer: Transformer Based Generative Adversarial Networks With Style Vector

Jeeseung Park,

Younggeun Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, Jeeseung and Kim, Younggeun}, title = {Styleformer: Transformer Based Generative Adversarial Networks With Style Vector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8983-8992} }

Efficient Two-Stage Detection of Human-Object Interactions With a Novel Unary-Pairwise Transformer

Frederic Z. Zhang,

Dylan Campbell,

Stephen Gould

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Frederic Z. and Campbell, Dylan and Gould, Stephen}, title = {Efficient Two-Stage Detection of Human-Object Interactions With a Novel Unary-Pairwise Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20104-20112} }

ELSR: Efficient Line Segment Reconstruction With Planes and Points Guidance

Dong Wei,

Yi Wan,

Yongjun Zhang,

Xinyi Liu,

Bin Zhang,

Xiqi Wang

[pdf] [supp]

[bibtex]

@InProceedings{Wei_2022_CVPR, author = {Wei, Dong and Wan, Yi and Zhang, Yongjun and Liu, Xinyi and Zhang, Bin and Wang, Xiqi}, title = {ELSR: Efficient Line Segment Reconstruction With Planes and Points Guidance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15807-15815} }

Meta-Attention for ViT-Backed Continual Learning

Mengqi Xue,

Haofei Zhang,

Jie Song,

Mingli Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xue_2022_CVPR, author = {Xue, Mengqi and Zhang, Haofei and Song, Jie and Song, Mingli}, title = {Meta-Attention for ViT-Backed Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {150-159} }

DST: Dynamic Substitute Training for Data-Free Black-Box Attack

Wenxuan Wang,

Xuelin Qian,

Yanwei Fu,

Xiangyang Xue

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Wenxuan and Qian, Xuelin and Fu, Yanwei and Xue, Xiangyang}, title = {DST: Dynamic Substitute Training for Data-Free Black-Box Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14361-14370} }

Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing

Thiemo Alldieck,

Mihai Zanfir,

Cristian Sminchisescu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Alldieck_2022_CVPR, author = {Alldieck, Thiemo and Zanfir, Mihai and Sminchisescu, Cristian}, title = {Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1506-1515} }

A Low-Cost & Real-Time Motion Capture System

Anargyros Chatzitofis,

Georgios Albanis,

Nikolaos Zioulis,

Spyridon Thermos

[pdf]

[bibtex]

@InProceedings{Chatzitofis_2022_CVPR, author = {Chatzitofis, Anargyros and Albanis, Georgios and Zioulis, Nikolaos and Thermos, Spyridon}, title = {A Low-Cost \& Real-Time Motion Capture System}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21453-21458} }

Unified Contrastive Learning in Image-Text-Label Space

Jianwei Yang,

Chunyuan Li,

Pengchuan Zhang,

Bin Xiao,

Ce Liu,

Lu Yuan,

Jianfeng Gao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Jianwei and Li, Chunyuan and Zhang, Pengchuan and Xiao, Bin and Liu, Ce and Yuan, Lu and Gao, Jianfeng}, title = {Unified Contrastive Learning in Image-Text-Label Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19163-19173} }

Unifying Motion Deblurring and Frame Interpolation With Events

Xiang Zhang,

Lei Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Xiang and Yu, Lei}, title = {Unifying Motion Deblurring and Frame Interpolation With Events}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17765-17774} }

Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks

Fanqing Lin,

Brian Price,

Tony Martinez

[pdf] [supp]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Fanqing and Price, Brian and Martinez, Tony}, title = {Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {773-782} }

Unsupervised Pre-Training for Temporal Action Localization Tasks

Can Zhang,

Tianyu Yang,

Junwu Weng,

Meng Cao,

Jue Wang,

Yuexian Zou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Can and Yang, Tianyu and Weng, Junwu and Cao, Meng and Wang, Jue and Zou, Yuexian}, title = {Unsupervised Pre-Training for Temporal Action Localization Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14031-14041} }

Light Field Neural Rendering

Mohammed Suhail,

Carlos Esteves,

Leonid Sigal,

Ameesh Makadia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Suhail_2022_CVPR, author = {Suhail, Mohammed and Esteves, Carlos and Sigal, Leonid and Makadia, Ameesh}, title = {Light Field Neural Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8269-8279} }

Fast Point Transformer

Chunghyun Park,

Yoonwoo Jeong,

Minsu Cho,

Jaesik Park

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, Chunghyun and Jeong, Yoonwoo and Cho, Minsu and Park, Jaesik}, title = {Fast Point Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16949-16958} }

Look Outside the Room: Synthesizing a Consistent Long-Term 3D Scene Video From a Single Image

Xuanchi Ren,

Xiaolong Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Xuanchi and Wang, Xiaolong}, title = {Look Outside the Room: Synthesizing a Consistent Long-Term 3D Scene Video From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3563-3573} }

Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression

Qiang Li,

Jingjing Wang,

Zhaoliang Yao,

Yachun Li,

Pengju Yang,

Jingwei Yan,

Chunmao Wang,

Shiliang Pu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Qiang and Wang, Jingjing and Yao, Zhaoliang and Li, Yachun and Yang, Pengju and Yan, Jingwei and Wang, Chunmao and Pu, Shiliang}, title = {Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20513-20522} }

Augmented Geometric Distillation for Data-Free Incremental Person ReID

Yichen Lu,

Mei Wang,

Weihong Deng

[pdf] [supp]

[bibtex]

@InProceedings{Lu_2022_CVPR, author = {Lu, Yichen and Wang, Mei and Deng, Weihong}, title = {Augmented Geometric Distillation for Data-Free Incremental Person ReID}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7329-7338} }

Deep Stereo Image Compression via Bi-Directional Coding

Jianjun Lei,

Xiangrui Liu,

Bo Peng,

Dengchao Jin,

Wanqing Li,

Jingxiao Gu

[pdf]

[bibtex]

@InProceedings{Lei_2022_CVPR, author = {Lei, Jianjun and Liu, Xiangrui and Peng, Bo and Jin, Dengchao and Li, Wanqing and Gu, Jingxiao}, title = {Deep Stereo Image Compression via Bi-Directional Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19669-19678} }

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction

Hyungjin Chung,

Byeongsu Sim,

Jong Chul Ye

[pdf] [supp]

[bibtex]

@InProceedings{Chung_2022_CVPR, author = {Chung, Hyungjin and Sim, Byeongsu and Ye, Jong Chul}, title = {Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12413-12422} }

Smooth-Swap: A Simple Enhancement for Face-Swapping With Smoothness

Jiseob Kim,

Jihoon Lee,

Byoung-Tak Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Jiseob and Lee, Jihoon and Zhang, Byoung-Tak}, title = {Smooth-Swap: A Simple Enhancement for Face-Swapping With Smoothness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10779-10788} }

Full-Range Virtual Try-On With Recurrent Tri-Level Transform

Han Yang,

Xinrui Yu,

Ziwei Liu

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Han and Yu, Xinrui and Liu, Ziwei}, title = {Full-Range Virtual Try-On With Recurrent Tri-Level Transform}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3460-3469} }

Style Neophile: Constantly Seeking Novel Styles for Domain Generalization

Juwon Kang,

Sohyun Lee,

Namyup Kim,

Suha Kwak

[pdf]

[bibtex]

@InProceedings{Kang_2022_CVPR, author = {Kang, Juwon and Lee, Sohyun and Kim, Namyup and Kwak, Suha}, title = {Style Neophile: Constantly Seeking Novel Styles for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7130-7140} }

High-Fidelity Human Avatars From a Single RGB Camera

Hao Zhao,

Jinsong Zhang,

Yu-Kun Lai,

Zerong Zheng,

Yingdi Xie,

Yebin Liu,

Kun Li

[pdf] [supp]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Hao and Zhang, Jinsong and Lai, Yu-Kun and Zheng, Zerong and Xie, Yingdi and Liu, Yebin and Li, Kun}, title = {High-Fidelity Human Avatars From a Single RGB Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15904-15913} }

ADAPT: Vision-Language Navigation With Modality-Aligned Action Prompts

Bingqian Lin,

Yi Zhu,

Zicong Chen,

Xiwen Liang,

Jianzhuang Liu,

Xiaodan Liang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Bingqian and Zhu, Yi and Chen, Zicong and Liang, Xiwen and Liu, Jianzhuang and Liang, Xiaodan}, title = {ADAPT: Vision-Language Navigation With Modality-Aligned Action Prompts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15396-15406} }

Multiview Transformers for Video Recognition

Shen Yan,

Xuehan Xiong,

Anurag Arnab,

Zhichao Lu,

Mi Zhang,

Chen Sun,

Cordelia Schmid

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yan_2022_CVPR, author = {Yan, Shen and Xiong, Xuehan and Arnab, Anurag and Lu, Zhichao and Zhang, Mi and Sun, Chen and Schmid, Cordelia}, title = {Multiview Transformers for Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3333-3343} }

RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry

Xiya Cao,

Caifa Zhou,

Dandan Zeng,

Yongliang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Xiya and Zhou, Caifa and Zeng, Dandan and Wang, Yongliang}, title = {RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6614-6623} }

How Good Is Aesthetic Ability of a Fashion Model?

Xingxing Zou,

Kaicheng Pang,

Wen Zhang,

Waikeung Wong

[pdf] [supp]

[bibtex]

@InProceedings{Zou_2022_CVPR, author = {Zou, Xingxing and Pang, Kaicheng and Zhang, Wen and Wong, Waikeung}, title = {How Good Is Aesthetic Ability of a Fashion Model?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21200-21209} }

Mining Multi-View Information: A Strong Self-Supervised Framework for Depth-Based 3D Hand Pose and Mesh Estimation

Pengfei Ren,

Haifeng Sun,

Jiachang Hao,

Jingyu Wang,

Qi Qi,

Jianxin Liao

[pdf] [supp]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Pengfei and Sun, Haifeng and Hao, Jiachang and Wang, Jingyu and Qi, Qi and Liao, Jianxin}, title = {Mining Multi-View Information: A Strong Self-Supervised Framework for Depth-Based 3D Hand Pose and Mesh Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20555-20565} }

Automated Progressive Learning for Efficient Training of Vision Transformers

Changlin Li,

Bohan Zhuang,

Guangrun Wang,

Xiaodan Liang,

Xiaojun Chang,

Yi Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Changlin and Zhuang, Bohan and Wang, Guangrun and Liang, Xiaodan and Chang, Xiaojun and Yang, Yi}, title = {Automated Progressive Learning for Efficient Training of Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12486-12496} }

BTS: A Bi-Lingual Benchmark for Text Segmentation in the Wild

Xixi Xu,

Zhongang Qi,

Jianqi Ma,

Honglun Zhang,

Ying Shan,

Xiaohu Qie

[pdf] [supp]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Xixi and Qi, Zhongang and Ma, Jianqi and Zhang, Honglun and Shan, Ying and Qie, Xiaohu}, title = {BTS: A Bi-Lingual Benchmark for Text Segmentation in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19152-19162} }

Learning Structured Gaussians To Approximate Deep Ensembles

Ivor J. A. Simpson,

Sara Vicente,

Neill D. F. Campbell

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Simpson_2022_CVPR, author = {Simpson, Ivor J. A. and Vicente, Sara and Campbell, Neill D. F.}, title = {Learning Structured Gaussians To Approximate Deep Ensembles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {366-374} }

Adaptive Trajectory Prediction via Transferable GNN

Yi Xu,

Lichen Wang,

Yizhou Wang,

Yun Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Yi and Wang, Lichen and Wang, Yizhou and Fu, Yun}, title = {Adaptive Trajectory Prediction via Transferable GNN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6520-6531} }

Total Variation Optimization Layers for Computer Vision

Raymond A. Yeh,

Yuan-Ting Hu,

Zhongzheng Ren,

Alexander G. Schwing

[pdf] [arXiv]

[bibtex]

@InProceedings{Yeh_2022_CVPR, author = {Yeh, Raymond A. and Hu, Yuan-Ting and Ren, Zhongzheng and Schwing, Alexander G.}, title = {Total Variation Optimization Layers for Computer Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {711-721} }

Defensive Patches for Robust Recognition in the Physical World

Jiakai Wang,

Zixin Yin,

Pengfei Hu,

Aishan Liu,

Renshuai Tao,

Haotong Qin,

Xianglong Liu,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jiakai and Yin, Zixin and Hu, Pengfei and Liu, Aishan and Tao, Renshuai and Qin, Haotong and Liu, Xianglong and Tao, Dacheng}, title = {Defensive Patches for Robust Recognition in the Physical World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2456-2465} }

Single-Stage Is Enough: Multi-Person Absolute 3D Pose Estimation

Lei Jin,

Chenyang Xu,

Xiaojuan Wang,

Yabo Xiao,

Yandong Guo,

Xuecheng Nie,

Jian Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Jin_2022_CVPR, author = {Jin, Lei and Xu, Chenyang and Wang, Xiaojuan and Xiao, Yabo and Guo, Yandong and Nie, Xuecheng and Zhao, Jian}, title = {Single-Stage Is Enough: Multi-Person Absolute 3D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13086-13095} }

Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds

Zhao Jin,

Yinjie Lei,

Naveed Akhtar,

Haifeng Li,

Munawar Hayat

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jin_2022_CVPR, author = {Jin, Zhao and Lei, Yinjie and Akhtar, Naveed and Li, Haifeng and Hayat, Munawar}, title = {Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7233-7243} }

Learn From Others and Be Yourself in Heterogeneous Federated Learning

Wenke Huang,

Mang Ye,

Bo Du

[pdf]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Wenke and Ye, Mang and Du, Bo}, title = {Learn From Others and Be Yourself in Heterogeneous Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10143-10153} }

Sequential Voting With Relational Box Fields for Active Object Detection

Qichen Fu,

Xingyu Liu,

Kris Kitani

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fu_2022_CVPR, author = {Fu, Qichen and Liu, Xingyu and Kitani, Kris}, title = {Sequential Voting With Relational Box Fields for Active Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2374-2383} }

Semantic-Aware Auto-Encoders for Self-Supervised Representation Learning

Guangrun Wang,

Yansong Tang,

Liang Lin,

Philip H.S. Torr

[pdf]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Guangrun and Tang, Yansong and Lin, Liang and Torr, Philip H.S.}, title = {Semantic-Aware Auto-Encoders for Self-Supervised Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9664-9675} }

Learning Transferable Human-Object Interaction Detector With Natural Language Supervision

Suchen Wang,

Yueqi Duan,

Henghui Ding,

Yap-Peng Tan,

Kim-Hui Yap,

Junsong Yuan

[pdf]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Suchen and Duan, Yueqi and Ding, Henghui and Tan, Yap-Peng and Yap, Kim-Hui and Yuan, Junsong}, title = {Learning Transferable Human-Object Interaction Detector With Natural Language Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {939-948} }

Fourier Document Restoration for Robust Document Dewarping and Recognition

Chuhui Xue,

Zichen Tian,

Fangneng Zhan,

Shijian Lu,

Song Bai

[pdf] [arXiv]

[bibtex]

@InProceedings{Xue_2022_CVPR, author = {Xue, Chuhui and Tian, Zichen and Zhan, Fangneng and Lu, Shijian and Bai, Song}, title = {Fourier Document Restoration for Robust Document Dewarping and Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4573-4582} }

Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection

Jihwan Park,

SeungJun Lee,

Hwan Heo,

Hyeong Kyu Choi,

Hyunwoo J. Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, Jihwan and Lee, SeungJun and Heo, Hwan and Choi, Hyeong Kyu and Kim, Hyunwoo J.}, title = {Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1019-1028} }

Consistent Explanations by Contrastive Learning

Vipin Pillai,

Soroush Abbasi Koohpayegani,

Ashley Ouligian,

Dennis Fong,

Hamed Pirsiavash

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pillai_2022_CVPR, author = {Pillai, Vipin and Koohpayegani, Soroush Abbasi and Ouligian, Ashley and Fong, Dennis and Pirsiavash, Hamed}, title = {Consistent Explanations by Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10213-10222} }

Text2Pos: Text-to-Point-Cloud Cross-Modal Localization

Manuel Kolmet,

Qunjie Zhou,

Aljoša Ošep,

Laura Leal-Taixé

[pdf] [supp]

[bibtex]

@InProceedings{Kolmet_2022_CVPR, author = {Kolmet, Manuel and Zhou, Qunjie and O\v{s}ep, Aljo\v{s}a and Leal-Taix\'e, Laura}, title = {Text2Pos: Text-to-Point-Cloud Cross-Modal Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6687-6696} }

MulT: An End-to-End Multitask Learning Transformer

Deblina Bhattacharjee,

Tong Zhang,

Sabine Süsstrunk,

Mathieu Salzmann

[pdf] [supp]

[bibtex]

@InProceedings{Bhattacharjee_2022_CVPR, author = {Bhattacharjee, Deblina and Zhang, Tong and S\"usstrunk, Sabine and Salzmann, Mathieu}, title = {MulT: An End-to-End Multitask Learning Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12031-12041} }

Hierarchical Modular Network for Video Captioning

Hanhua Ye,

Guorong Li,

Yuankai Qi,

Shuhui Wang,

Qingming Huang,

Ming-Hsuan Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Hanhua and Li, Guorong and Qi, Yuankai and Wang, Shuhui and Huang, Qingming and Yang, Ming-Hsuan}, title = {Hierarchical Modular Network for Video Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17939-17948} }

Learning With Neighbor Consistency for Noisy Labels

Ahmet Iscen,

Jack Valmadre,

Anurag Arnab,

Cordelia Schmid

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Iscen_2022_CVPR, author = {Iscen, Ahmet and Valmadre, Jack and Arnab, Anurag and Schmid, Cordelia}, title = {Learning With Neighbor Consistency for Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4672-4681} }

Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light

Yuhua Xu,

Xiaoli Yang,

Yushan Yu,

Wei Jia,

Zhaobi Chu,

Yulan Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Yuhua and Yang, Xiaoli and Yu, Yushan and Jia, Wei and Chu, Zhaobi and Guo, Yulan}, title = {Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1746-1755} }

Salient-to-Broad Transition for Video Person Re-Identification

Shutao Bai,

Bingpeng Ma,

Hong Chang,

Rui Huang,

Xilin Chen

[pdf] [supp]

[bibtex]

@InProceedings{Bai_2022_CVPR, author = {Bai, Shutao and Ma, Bingpeng and Chang, Hong and Huang, Rui and Chen, Xilin}, title = {Salient-to-Broad Transition for Video Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7339-7348} }

Object-Region Video Transformers

Roei Herzig,

Elad Ben-Avraham,

Karttikeya Mangalam,

Amir Bar,

Gal Chechik,

Anna Rohrbach,

Trevor Darrell,

Amir Globerson

[pdf] [supp]

[bibtex]

@InProceedings{Herzig_2022_CVPR, author = {Herzig, Roei and Ben-Avraham, Elad and Mangalam, Karttikeya and Bar, Amir and Chechik, Gal and Rohrbach, Anna and Darrell, Trevor and Globerson, Amir}, title = {Object-Region Video Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3148-3159} }

DeeCap: Dynamic Early Exiting for Efficient Image Captioning

Zhengcong Fei,

Xu Yan,

Shuhui Wang,

Qi Tian

[pdf]

[bibtex]

@InProceedings{Fei_2022_CVPR, author = {Fei, Zhengcong and Yan, Xu and Wang, Shuhui and Tian, Qi}, title = {DeeCap: Dynamic Early Exiting for Efficient Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12216-12226} }

AME: Attention and Memory Enhancement in Hyper-Parameter Optimization

Nuo Xu,

Jianlong Chang,

Xing Nie,

Chunlei Huo,

Shiming Xiang,

Chunhong Pan

[pdf] [supp]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Nuo and Chang, Jianlong and Nie, Xing and Huo, Chunlei and Xiang, Shiming and Pan, Chunhong}, title = {AME: Attention and Memory Enhancement in Hyper-Parameter Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {480-489} }

Alignment-Uniformity Aware Representation Learning for Zero-Shot Video Classification

Shi Pu,

Kaili Zhao,

Mao Zheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pu_2022_CVPR, author = {Pu, Shi and Zhao, Kaili and Zheng, Mao}, title = {Alignment-Uniformity Aware Representation Learning for Zero-Shot Video Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19968-19977} }

RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality

Xiaohan Ding,

Honghao Chen,

Xiangyu Zhang,

Jungong Han,

Guiguang Ding

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Xiaohan and Chen, Honghao and Zhang, Xiangyu and Han, Jungong and Ding, Guiguang}, title = {RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {578-587} }

DR.VIC: Decomposition and Reasoning for Video Individual Counting

Tao Han,

Lei Bai,

Junyu Gao,

Qi Wang,

Wanli Ouyang

[pdf] [supp]

[bibtex]

@InProceedings{Han_2022_CVPR, author = {Han, Tao and Bai, Lei and Gao, Junyu and Wang, Qi and Ouyang, Wanli}, title = {DR.VIC: Decomposition and Reasoning for Video Individual Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3083-3092} }

LiDARCap: Long-Range Marker-Less 3D Human Motion Capture With LiDAR Point Clouds

Jialian Li,

Jingyi Zhang,

Zhiyong Wang,

Siqi Shen,

Chenglu Wen,

Yuexin Ma,

Lan Xu,

Jingyi Yu,

Cheng Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jialian and Zhang, Jingyi and Wang, Zhiyong and Shen, Siqi and Wen, Chenglu and Ma, Yuexin and Xu, Lan and Yu, Jingyi and Wang, Cheng}, title = {LiDARCap: Long-Range Marker-Less 3D Human Motion Capture With LiDAR Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20502-20512} }

GeoEngine: A Platform for Production-Ready Geospatial Research

Sagar Verma,

Siddharth Gupta,

Hal Shin,

Akash Panigrahi,

Shubham Goswami,

Shweta Pardeshi,

Natanael Exe,

Ujwal Dutta,

Tanka Raj Joshi,

Nitin Bhojwani

[pdf]

[bibtex]

@InProceedings{Verma_2022_CVPR, author = {Verma, Sagar and Gupta, Siddharth and Shin, Hal and Panigrahi, Akash and Goswami, Shubham and Pardeshi, Shweta and Exe, Natanael and Dutta, Ujwal and Joshi, Tanka Raj and Bhojwani, Nitin}, title = {GeoEngine: A Platform for Production-Ready Geospatial Research}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21416-21424} }

Revisiting Document Image Dewarping by Grid Regularization

Xiangwei Jiang,

Rujiao Long,

Nan Xue,

Zhibo Yang,

Cong Yao,

Gui-Song Xia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Xiangwei and Long, Rujiao and Xue, Nan and Yang, Zhibo and Yao, Cong and Xia, Gui-Song}, title = {Revisiting Document Image Dewarping by Grid Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4543-4552} }

Semi-Supervised Few-Shot Learning via Multi-Factor Clustering

Jie Ling,

Lei Liao,

Meng Yang,

Jia Shuai

[pdf] [supp]

[bibtex]

@InProceedings{Ling_2022_CVPR, author = {Ling, Jie and Liao, Lei and Yang, Meng and Shuai, Jia}, title = {Semi-Supervised Few-Shot Learning via Multi-Factor Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14564-14573} }

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation

Qihang Yu,

Huiyu Wang,

Dahun Kim,

Siyuan Qiao,

Maxwell Collins,

Yukun Zhu,

Hartwig Adam,

Alan Yuille,

Liang-Chieh Chen

[pdf] [supp]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Qihang and Wang, Huiyu and Kim, Dahun and Qiao, Siyuan and Collins, Maxwell and Zhu, Yukun and Adam, Hartwig and Yuille, Alan and Chen, Liang-Chieh}, title = {CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2560-2570} }

Weakly-Supervised Generation and Grounding of Visual Descriptions With Conditional Generative Models

Effrosyni Mavroudi,

René Vidal

[pdf] [supp]

[bibtex]

@InProceedings{Mavroudi_2022_CVPR, author = {Mavroudi, Effrosyni and Vidal, Ren\'e}, title = {Weakly-Supervised Generation and Grounding of Visual Descriptions With Conditional Generative Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15544-15554} }

Novel Class Discovery in Semantic Segmentation

Yuyang Zhao,

Zhun Zhong,

Nicu Sebe,

Gim Hee Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Yuyang and Zhong, Zhun and Sebe, Nicu and Lee, Gim Hee}, title = {Novel Class Discovery in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4340-4349} }

ARCS: Accurate Rotation and Correspondence Search

Liangzu Peng,

Manolis C. Tsakiris,

René Vidal

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Peng_2022_CVPR, author = {Peng, Liangzu and Tsakiris, Manolis C. and Vidal, Ren\'e}, title = {ARCS: Accurate Rotation and Correspondence Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11153-11163} }

Learning To Anticipate Future With Dynamic Context Removal

Xinyu Xu,

Yong-Lu Li,

Cewu Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Xinyu and Li, Yong-Lu and Lu, Cewu}, title = {Learning To Anticipate Future With Dynamic Context Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12734-12744} }

GCFSR: A Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors

Jingwen He,

Wu Shi,

Kai Chen,

Lean Fu,

Chao Dong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Jingwen and Shi, Wu and Chen, Kai and Fu, Lean and Dong, Chao}, title = {GCFSR: A Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1889-1898} }

Perception Prioritized Training of Diffusion Models

Jooyoung Choi,

Jungbeom Lee,

Chaehun Shin,

Sungwon Kim,

Hyunwoo Kim,

Sungroh Yoon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Choi_2022_CVPR, author = {Choi, Jooyoung and Lee, Jungbeom and Shin, Chaehun and Kim, Sungwon and Kim, Hyunwoo and Yoon, Sungroh}, title = {Perception Prioritized Training of Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11472-11481} }

Using 3D Topological Connectivity for Ghost Particle Reduction in Flow Reconstruction

Christina Tsalicoglou,

Thomas Rösgen

[pdf] [supp]

[bibtex]

@InProceedings{Tsalicoglou_2022_CVPR, author = {Tsalicoglou, Christina and R\"osgen, Thomas}, title = {Using 3D Topological Connectivity for Ghost Particle Reduction in Flow Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1839-1847} }

On the Integration of Self-Attention and Convolution

Xuran Pan,

Chunjiang Ge,

Rui Lu,

Shiji Song,

Guanfu Chen,

Zeyi Huang,

Gao Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pan_2022_CVPR, author = {Pan, Xuran and Ge, Chunjiang and Lu, Rui and Song, Shiji and Chen, Guanfu and Huang, Zeyi and Huang, Gao}, title = {On the Integration of Self-Attention and Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {815-825} }

Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

Tiezheng Ma,

Yongwei Nie,

Chengjiang Long,

Qing Zhang,

Guiqing Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Tiezheng and Nie, Yongwei and Long, Chengjiang and Zhang, Qing and Li, Guiqing}, title = {Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6437-6446} }

CHEX: CHannel EXploration for CNN Model Compression

Zejiang Hou,

Minghai Qin,

Fei Sun,

Xiaolong Ma,

Kun Yuan,

Yi Xu,

Yen-Kuang Chen,

Rong Jin,

Yuan Xie,

Sun-Yuan Kung

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hou_2022_CVPR, author = {Hou, Zejiang and Qin, Minghai and Sun, Fei and Ma, Xiaolong and Yuan, Kun and Xu, Yi and Chen, Yen-Kuang and Jin, Rong and Xie, Yuan and Kung, Sun-Yuan}, title = {CHEX: CHannel EXploration for CNN Model Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12287-12298} }

M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction

Qiao Sun,

Xin Huang,

Junru Gu,

Brian C. Williams,

Hang Zhao

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Qiao and Huang, Xin and Gu, Junru and Williams, Brian C. and Zhao, Hang}, title = {M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6543-6552} }

Domain Adaptation on Point Clouds via Geometry-Aware Implicits

Yuefan Shen,

Yanchao Yang,

Mi Yan,

He Wang,

Youyi Zheng,

Leonidas J. Guibas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shen_2022_CVPR, author = {Shen, Yuefan and Yang, Yanchao and Yan, Mi and Wang, He and Zheng, Youyi and Guibas, Leonidas J.}, title = {Domain Adaptation on Point Clouds via Geometry-Aware Implicits}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7223-7232} }

Consistency Driven Sequential Transformers Attention Model for Partially Observable Scenes

Samrudhdhi B. Rangrej,

Chetan L. Srinidhi,

James J. Clark

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rangrej_2022_CVPR, author = {Rangrej, Samrudhdhi B. and Srinidhi, Chetan L. and Clark, James J.}, title = {Consistency Driven Sequential Transformers Attention Model for Partially Observable Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2518-2527} }

GroupViT: Semantic Segmentation Emerges From Text Supervision

Jiarui Xu,

Shalini De Mello,

Sifei Liu,

Wonmin Byeon,

Thomas Breuel,

Jan Kautz,

Xiaolong Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Jiarui and De Mello, Shalini and Liu, Sifei and Byeon, Wonmin and Breuel, Thomas and Kautz, Jan and Wang, Xiaolong}, title = {GroupViT: Semantic Segmentation Emerges From Text Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18134-18144} }

NeuralHOFusion: Neural Volumetric Rendering Under Human-Object Interactions

Yuheng Jiang,

Suyi Jiang,

Guoxing Sun,

Zhuo Su,

Kaiwen Guo,

Minye Wu,

Jingyi Yu,

Lan Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Yuheng and Jiang, Suyi and Sun, Guoxing and Su, Zhuo and Guo, Kaiwen and Wu, Minye and Yu, Jingyi and Xu, Lan}, title = {NeuralHOFusion: Neural Volumetric Rendering Under Human-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6155-6165} }

Generalizable Human Pose Triangulation

Kristijan Bartol,

David Bojanić,

Tomislav Petković,

Tomislav Pribanić

[pdf] [supp]

[bibtex]

@InProceedings{Bartol_2022_CVPR, author = {Bartol, Kristijan and Bojani\'c, David and Petkovi\'c, Tomislav and Pribani\'c, Tomislav}, title = {Generalizable Human Pose Triangulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11028-11037} }

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation

Gwanghyun Kim,

Taesung Kwon,

Jong Chul Ye

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Gwanghyun and Kwon, Taesung and Ye, Jong Chul}, title = {DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2426-2435} }

Occlusion-Aware Cost Constructor for Light Field Depth Estimation

Yingqian Wang,

Longguang Wang,

Zhengyu Liang,

Jungang Yang,

Wei An,

Yulan Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yingqian and Wang, Longguang and Liang, Zhengyu and Yang, Jungang and An, Wei and Guo, Yulan}, title = {Occlusion-Aware Cost Constructor for Light Field Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19809-19818} }

SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis

Anastasiia Kornilova,

Marsel Faizullin,

Konstantin Pakulev,

Andrey Sadkov,

Denis Kukushkin,

Azat Akhmetyanov,

Timur Akhtyamov,

Hekmat Taherinejad,

Gonzalo Ferrer

[pdf] [arXiv]

[bibtex]

@InProceedings{Kornilova_2022_CVPR, author = {Kornilova, Anastasiia and Faizullin, Marsel and Pakulev, Konstantin and Sadkov, Andrey and Kukushkin, Denis and Akhmetyanov, Azat and Akhtyamov, Timur and Taherinejad, Hekmat and Ferrer, Gonzalo}, title = {SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21318-21329} }

BppAttack: Stealthy and Efficient Trojan Attacks Against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning

Zhenting Wang,

Juan Zhai,

Shiqing Ma

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhenting and Zhai, Juan and Ma, Shiqing}, title = {BppAttack: Stealthy and Efficient Trojan Attacks Against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15074-15084} }

GlideNet: Global, Local and Intrinsic Based Dense Embedding NETwork for Multi-Category Attributes Prediction

Kareem Metwaly,

Aerin Kim,

Elliot Branson,

Vishal Monga

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Metwaly_2022_CVPR, author = {Metwaly, Kareem and Kim, Aerin and Branson, Elliot and Monga, Vishal}, title = {GlideNet: Global, Local and Intrinsic Based Dense Embedding NETwork for Multi-Category Attributes Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4835-4846} }

Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation

Xingning Dong,

Tian Gan,

Xuemeng Song,

Jianlong Wu,

Yuan Cheng,

Liqiang Nie

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Xingning and Gan, Tian and Song, Xuemeng and Wu, Jianlong and Cheng, Yuan and Nie, Liqiang}, title = {Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19427-19436} }

Ensembling Off-the-Shelf Models for GAN Training

Nupur Kumari,

Richard Zhang,

Eli Shechtman,

Jun-Yan Zhu

[pdf] [arXiv]

[bibtex]

@InProceedings{Kumari_2022_CVPR, author = {Kumari, Nupur and Zhang, Richard and Shechtman, Eli and Zhu, Jun-Yan}, title = {Ensembling Off-the-Shelf Models for GAN Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10651-10662} }

Towards Better Plasticity-Stability Trade-Off in Incremental Learning: A Simple Linear Connector

Guoliang Lin,

Hanlu Chu,

Hanjiang Lai

[pdf] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Guoliang and Chu, Hanlu and Lai, Hanjiang}, title = {Towards Better Plasticity-Stability Trade-Off in Incremental Learning: A Simple Linear Connector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {89-98} }

Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow

Shanlin Sun,

Kun Han,

Deying Kong,

Hao Tang,

Xiangyi Yan,

Xiaohui Xie

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Shanlin and Han, Kun and Kong, Deying and Tang, Hao and Yan, Xiangyi and Xie, Xiaohui}, title = {Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20845-20855} }

Segment and Complete: Defending Object Detectors Against Adversarial Patch Attacks With Robust Patch Detection

Jiang Liu,

Alexander Levine,

Chun Pong Lau,

Rama Chellappa,

Soheil Feizi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Jiang and Levine, Alexander and Lau, Chun Pong and Chellappa, Rama and Feizi, Soheil}, title = {Segment and Complete: Defending Object Detectors Against Adversarial Patch Attacks With Robust Patch Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14973-14982} }

Cross-Domain Few-Shot Learning With Task-Specific Adapters

Wei-Hong Li,

Xialei Liu,

Hakan Bilen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Wei-Hong and Liu, Xialei and Bilen, Hakan}, title = {Cross-Domain Few-Shot Learning With Task-Specific Adapters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7161-7170} }

MAXIM: Multi-Axis MLP for Image Processing

Zhengzhong Tu,

Hossein Talebi,

Han Zhang,

Feng Yang,

Peyman Milanfar,

Alan Bovik,

Yinxiao Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tu_2022_CVPR, author = {Tu, Zhengzhong and Talebi, Hossein and Zhang, Han and Yang, Feng and Milanfar, Peyman and Bovik, Alan and Li, Yinxiao}, title = {MAXIM: Multi-Axis MLP for Image Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5769-5780} }

Learning Part Segmentation Through Unsupervised Domain Adaptation From Synthetic Vehicles

Qing Liu,

Adam Kortylewski,

Zhishuai Zhang,

Zizhang Li,

Mengqi Guo,

Qihao Liu,

Xiaoding Yuan,

Jiteng Mu,

Weichao Qiu,

Alan Yuille

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Qing and Kortylewski, Adam and Zhang, Zhishuai and Li, Zizhang and Guo, Mengqi and Liu, Qihao and Yuan, Xiaoding and Mu, Jiteng and Qiu, Weichao and Yuille, Alan}, title = {Learning Part Segmentation Through Unsupervised Domain Adaptation From Synthetic Vehicles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19140-19151} }

Delving Into the Estimation Shift of Batch Normalization in a Network

Lei Huang,

Yi Zhou,

Tian Wang,

Jie Luo,

Xianglong Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Lei and Zhou, Yi and Wang, Tian and Luo, Jie and Liu, Xianglong}, title = {Delving Into the Estimation Shift of Batch Normalization in a Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {763-772} }

Towards Better Understanding Attribution Methods

Sukrut Rao,

Moritz Böhle,

Bernt Schiele

[pdf] [supp]

[bibtex]

@InProceedings{Rao_2022_CVPR, author = {Rao, Sukrut and B\"ohle, Moritz and Schiele, Bernt}, title = {Towards Better Understanding Attribution Methods}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10223-10232} }

Learning Object Context for Novel-View Scene Layout Generation

Xiaotian Qiao,

Gerhard P. Hancke,

Rynson W.H. Lau

[pdf]

[bibtex]

@InProceedings{Qiao_2022_CVPR, author = {Qiao, Xiaotian and Hancke, Gerhard P. and Lau, Rynson W.H.}, title = {Learning Object Context for Novel-View Scene Layout Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16990-16999} }

PSTR: End-to-End One-Step Person Search With Transformers

Jiale Cao,

Yanwei Pang,

Rao Muhammad Anwer,

Hisham Cholakkal,

Jin Xie,

Mubarak Shah,

Fahad Shahbaz Khan

[pdf] [arXiv]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Jiale and Pang, Yanwei and Anwer, Rao Muhammad and Cholakkal, Hisham and Xie, Jin and Shah, Mubarak and Khan, Fahad Shahbaz}, title = {PSTR: End-to-End One-Step Person Search With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9458-9467} }

Neural Fields As Learnable Kernels for 3D Reconstruction

Francis Williams,

Zan Gojcic,

Sameh Khamis,

Denis Zorin,

Joan Bruna,

Sanja Fidler,

Or Litany

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Williams_2022_CVPR, author = {Williams, Francis and Gojcic, Zan and Khamis, Sameh and Zorin, Denis and Bruna, Joan and Fidler, Sanja and Litany, Or}, title = {Neural Fields As Learnable Kernels for 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18500-18510} }

A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information

Matthew Kowal,

Mennatullah Siam,

Md Amirul Islam,

Neil D. B. Bruce,

Richard P. Wildes,

Konstantinos G. Derpanis

[pdf] [supp]

[bibtex]

@InProceedings{Kowal_2022_CVPR, author = {Kowal, Matthew and Siam, Mennatullah and Islam, Md Amirul and Bruce, Neil D. B. and Wildes, Richard P. and Derpanis, Konstantinos G.}, title = {A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13999-14009} }

Detector-Free Weakly Supervised Group Activity Recognition

Dongkeun Kim,

Jinsung Lee,

Minsu Cho,

Suha Kwak

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Dongkeun and Lee, Jinsung and Cho, Minsu and Kwak, Suha}, title = {Detector-Free Weakly Supervised Group Activity Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20083-20093} }

NFormer: Robust Person Re-Identification With Neighbor Transformer

Haochen Wang,

Jiayi Shen,

Yongtuo Liu,

Yan Gao,

Efstratios Gavves

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Haochen and Shen, Jiayi and Liu, Yongtuo and Gao, Yan and Gavves, Efstratios}, title = {NFormer: Robust Person Re-Identification With Neighbor Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7297-7307} }

Joint Forecasting of Panoptic Segmentations With Difference Attention

Colin Graber,

Cyril Jazra,

Wenjie Luo,

Liangyan Gui,

Alexander G. Schwing

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Graber_2022_CVPR, author = {Graber, Colin and Jazra, Cyril and Luo, Wenjie and Gui, Liangyan and Schwing, Alexander G.}, title = {Joint Forecasting of Panoptic Segmentations With Difference Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2627-2636} }

HairCLIP: Design Your Hair by Text and Reference Image

Tianyi Wei,

Dongdong Chen,

Wenbo Zhou,

Jing Liao,

Zhentao Tan,

Lu Yuan,

Weiming Zhang,

Nenghai Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wei_2022_CVPR, author = {Wei, Tianyi and Chen, Dongdong and Zhou, Wenbo and Liao, Jing and Tan, Zhentao and Yuan, Lu and Zhang, Weiming and Yu, Nenghai}, title = {HairCLIP: Design Your Hair by Text and Reference Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18072-18081} }

Imposing Consistency for Optical Flow Estimation

Jisoo Jeong,

Jamie Menjay Lin,

Fatih Porikli,

Nojun Kwak

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jeong_2022_CVPR, author = {Jeong, Jisoo and Lin, Jamie Menjay and Porikli, Fatih and Kwak, Nojun}, title = {Imposing Consistency for Optical Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3181-3191} }

Style Transformer for Image Inversion and Editing

Xueqi Hu,

Qiusheng Huang,

Zhengyi Shi,

Siyuan Li,

Changxin Gao,

Li Sun,

Qingli Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Xueqi and Huang, Qiusheng and Shi, Zhengyi and Li, Siyuan and Gao, Changxin and Sun, Li and Li, Qingli}, title = {Style Transformer for Image Inversion and Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11337-11346} }

OakInk: A Large-Scale Knowledge Repository for Understanding Hand-Object Interaction

Lixin Yang,

Kailin Li,

Xinyu Zhan,

Fei Wu,

Anran Xu,

Liu Liu,

Cewu Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Lixin and Li, Kailin and Zhan, Xinyu and Wu, Fei and Xu, Anran and Liu, Liu and Lu, Cewu}, title = {OakInk: A Large-Scale Knowledge Repository for Understanding Hand-Object Interaction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20953-20962} }

Pyramid Adversarial Training Improves ViT Performance

Charles Herrmann,

Kyle Sargent,

Lu Jiang,

Ramin Zabih,

Huiwen Chang,

Ce Liu,

Dilip Krishnan,

Deqing Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Herrmann_2022_CVPR, author = {Herrmann, Charles and Sargent, Kyle and Jiang, Lu and Zabih, Ramin and Chang, Huiwen and Liu, Ce and Krishnan, Dilip and Sun, Deqing}, title = {Pyramid Adversarial Training Improves ViT Performance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13419-13429} }

Bridging Global Context Interactions for High-Fidelity Image Completion

Chuanxia Zheng,

Tat-Jen Cham,

Jianfei Cai,

Dinh Phung

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Chuanxia and Cham, Tat-Jen and Cai, Jianfei and Phung, Dinh}, title = {Bridging Global Context Interactions for High-Fidelity Image Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11512-11522} }

SwinBERT: End-to-End Transformers With Sparse Attention for Video Captioning

Kevin Lin,

Linjie Li,

Chung-Ching Lin,

Faisal Ahmed,

Zhe Gan,

Zicheng Liu,

Yumao Lu,

Lijuan Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Kevin and Li, Linjie and Lin, Chung-Ching and Ahmed, Faisal and Gan, Zhe and Liu, Zicheng and Lu, Yumao and Wang, Lijuan}, title = {SwinBERT: End-to-End Transformers With Sparse Attention for Video Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17949-17958} }

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation

Yanwu Xu,

Shaoan Xie,

Wenhao Wu,

Kun Zhang,

Mingming Gong,

Kayhan Batmanghelich

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Yanwu and Xie, Shaoan and Wu, Wenhao and Zhang, Kun and Gong, Mingming and Batmanghelich, Kayhan}, title = {Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18311-18320} }

Unseen Classes at a Later Time? No Problem

Hari Chandana Kuchibhotla,

Sumitra S Malagi,

Shivam Chandhok,

Vineeth N Balasubramanian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kuchibhotla_2022_CVPR, author = {Kuchibhotla, Hari Chandana and Malagi, Sumitra S and Chandhok, Shivam and Balasubramanian, Vineeth N}, title = {Unseen Classes at a Later Time? No Problem}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9245-9254} }

InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering

Mijeong Kim,

Seonguk Seo,

Bohyung Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Mijeong and Seo, Seonguk and Han, Bohyung}, title = {InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12912-12921} }

Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective

Yunrui Zhao,

Qianqian Xu,

Yangbangyan Jiang,

Peisong Wen,

Qingming Huang

[pdf] [supp]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Yunrui and Xu, Qianqian and Jiang, Yangbangyan and Wen, Peisong and Huang, Qingming}, title = {Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14461-14470} }

SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration

Zhi Chen,

Kun Sun,

Fan Yang,

Wenbing Tao

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Zhi and Sun, Kun and Yang, Fan and Tao, Wenbing}, title = {SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13221-13231} }

Relative Pose From a Calibrated and an Uncalibrated Smartphone Image

Yaqing Ding,

Daniel Barath,

Jian Yang,

Zuzana Kukelova

[pdf] [supp]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Yaqing and Barath, Daniel and Yang, Jian and Kukelova, Zuzana}, title = {Relative Pose From a Calibrated and an Uncalibrated Smartphone Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12766-12775} }

Towards Robust and Reproducible Active Learning Using Neural Networks

Prateek Munjal,

Nasir Hayat,

Munawar Hayat,

Jamshid Sourati,

Shadab Khan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Munjal_2022_CVPR, author = {Munjal, Prateek and Hayat, Nasir and Hayat, Munawar and Sourati, Jamshid and Khan, Shadab}, title = {Towards Robust and Reproducible Active Learning Using Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {223-232} }

Retrieval Augmented Classification for Long-Tail Visual Recognition

Alexander Long,

Wei Yin,

Thalaiyasingam Ajanthan,

Vu Nguyen,

Pulak Purkait,

Ravi Garg,

Alan Blair,

Chunhua Shen,

Anton van den Hengel

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Long_2022_CVPR, author = {Long, Alexander and Yin, Wei and Ajanthan, Thalaiyasingam and Nguyen, Vu and Purkait, Pulak and Garg, Ravi and Blair, Alan and Shen, Chunhua and van den Hengel, Anton}, title = {Retrieval Augmented Classification for Long-Tail Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6959-6969} }

Not All Tokens Are Equal: Human-Centric Visual Analysis via Token Clustering Transformer

Wang Zeng,

Sheng Jin,

Wentao Liu,

Chen Qian,

Ping Luo,

Wanli Ouyang,

Xiaogang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zeng_2022_CVPR, author = {Zeng, Wang and Jin, Sheng and Liu, Wentao and Qian, Chen and Luo, Ping and Ouyang, Wanli and Wang, Xiaogang}, title = {Not All Tokens Are Equal: Human-Centric Visual Analysis via Token Clustering Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11101-11111} }

Temporally Efficient Vision Transformer for Video Instance Segmentation

Shusheng Yang,

Xinggang Wang,

Yu Li,

Yuxin Fang,

Jiemin Fang,

Wenyu Liu,

Xun Zhao,

Ying Shan

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Shusheng and Wang, Xinggang and Li, Yu and Fang, Yuxin and Fang, Jiemin and Liu, Wenyu and Zhao, Xun and Shan, Ying}, title = {Temporally Efficient Vision Transformer for Video Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2885-2895} }

The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration

Bingyuan Liu,

Ismail Ben Ayed,

Adrian Galdran,

Jose Dolz

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Bingyuan and Ben Ayed, Ismail and Galdran, Adrian and Dolz, Jose}, title = {The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {80-88} }

NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks

Fawaz Sammani,

Tanmoy Mukherjee,

Nikos Deligiannis

[pdf] [supp]

[bibtex]

@InProceedings{Sammani_2022_CVPR, author = {Sammani, Fawaz and Mukherjee, Tanmoy and Deligiannis, Nikos}, title = {NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8322-8332} }

Bringing Old Films Back to Life

Ziyu Wan,

Bo Zhang,

Dongdong Chen,

Jing Liao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wan_2022_CVPR, author = {Wan, Ziyu and Zhang, Bo and Chen, Dongdong and Liao, Jing}, title = {Bringing Old Films Back to Life}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17694-17703} }

Sound and Visual Representation Learning With Multiple Pretraining Tasks

Arun Balajee Vasudevan,

Dengxin Dai,

Luc Van Gool

[pdf] [arXiv]

[bibtex]

@InProceedings{Vasudevan_2022_CVPR, author = {Vasudevan, Arun Balajee and Dai, Dengxin and Van Gool, Luc}, title = {Sound and Visual Representation Learning With Multiple Pretraining Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14616-14626} }

WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation

Yingzhi Tang,

Yue Qian,

Qijian Zhang,

Yiming Zeng,

Junhui Hou,

Xuefei Zhe

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Yingzhi and Qian, Yue and Zhang, Qijian and Zeng, Yiming and Hou, Junhui and Zhe, Xuefei}, title = {WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6397-6405} }

RePaint: Inpainting Using Denoising Diffusion Probabilistic Models

Andreas Lugmayr,

Martin Danelljan,

Andres Romero,

Fisher Yu,

Radu Timofte,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lugmayr_2022_CVPR, author = {Lugmayr, Andreas and Danelljan, Martin and Romero, Andres and Yu, Fisher and Timofte, Radu and Van Gool, Luc}, title = {RePaint: Inpainting Using Denoising Diffusion Probabilistic Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11461-11471} }

Revealing Occlusions With 4D Neural Fields

Basile Van Hoorick,

Purva Tendulkar,

Dídac Surís,

Dennis Park,

Simon Stent,

Carl Vondrick

[pdf] [supp]

[bibtex]

@InProceedings{Van_Hoorick_2022_CVPR, author = {Van Hoorick, Basile and Tendulkar, Purva and Sur{\'\i}s, D{\'\i}dac and Park, Dennis and Stent, Simon and Vondrick, Carl}, title = {Revealing Occlusions With 4D Neural Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3011-3021} }

Meta Agent Teaming Active Learning for Pose Estimation

Jia Gong,

Zhipeng Fan,

Qiuhong Ke,

Hossein Rahmani,

Jun Liu

[pdf] [supp]

[bibtex]

@InProceedings{Gong_2022_CVPR, author = {Gong, Jia and Fan, Zhipeng and Ke, Qiuhong and Rahmani, Hossein and Liu, Jun}, title = {Meta Agent Teaming Active Learning for Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11079-11089} }

Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild

Mingzhen Huang,

Supreeth Narasimhaswamy,

Saif Vazir,

Haibin Ling,

Minh Hoai

[pdf]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Mingzhen and Narasimhaswamy, Supreeth and Vazir, Saif and Ling, Haibin and Hoai, Minh}, title = {Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6406-6416} }

Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding

Haojun Jiang,

Yuanze Lin,

Dongchen Han,

Shiji Song,

Gao Huang

[pdf] [supp]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Haojun and Lin, Yuanze and Han, Dongchen and Song, Shiji and Huang, Gao}, title = {Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15513-15523} }

E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition

Chiara Plizzari,

Mirco Planamente,

Gabriele Goletto,

Marco Cannici,

Emanuele Gusso,

Matteo Matteucci,

Barbara Caputo

[pdf] [supp]

[bibtex]

@InProceedings{Plizzari_2022_CVPR, author = {Plizzari, Chiara and Planamente, Mirco and Goletto, Gabriele and Cannici, Marco and Gusso, Emanuele and Matteucci, Matteo and Caputo, Barbara}, title = {E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19935-19947} }

ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework

Ningkai Mo,

Wanshui Gan,

Naoto Yokoya,

Shifeng Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mo_2022_CVPR, author = {Mo, Ningkai and Gan, Wanshui and Yokoya, Naoto and Chen, Shifeng}, title = {ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6718-6727} }

Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics

Weixi Wang,

Ji Li,

Hui Ji

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Weixi and Li, Ji and Ji, Hui}, title = {Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1989-1998} }

Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning

Hui Tang,

Kui Jia

[pdf] [supp]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Hui and Jia, Kui}, title = {Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14658-14667} }

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization

Nanyang Ye,

Kaican Li,

Haoyue Bai,

Runpeng Yu,

Lanqing Hong,

Fengwei Zhou,

Zhenguo Li,

Jun Zhu

[pdf] [supp]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Nanyang and Li, Kaican and Bai, Haoyue and Yu, Runpeng and Hong, Lanqing and Zhou, Fengwei and Li, Zhenguo and Zhu, Jun}, title = {OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7947-7958} }

An Empirical Study of Training End-to-End Vision-and-Language Transformers

Zi-Yi Dou,

Yichong Xu,

Zhe Gan,

Jianfeng Wang,

Shuohang Wang,

Lijuan Wang,

Chenguang Zhu,

Pengchuan Zhang,

Lu Yuan,

Nanyun Peng,

Zicheng Liu,

Michael Zeng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dou_2022_CVPR, author = {Dou, Zi-Yi and Xu, Yichong and Gan, Zhe and Wang, Jianfeng and Wang, Shuohang and Wang, Lijuan and Zhu, Chenguang and Zhang, Pengchuan and Yuan, Lu and Peng, Nanyun and Liu, Zicheng and Zeng, Michael}, title = {An Empirical Study of Training End-to-End Vision-and-Language Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18166-18176} }

Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification

Zongbo Han,

Fan Yang,

Junzhou Huang,

Changqing Zhang,

Jianhua Yao

[pdf] [supp]

[bibtex]

@InProceedings{Han_2022_CVPR, author = {Han, Zongbo and Yang, Fan and Huang, Junzhou and Zhang, Changqing and Yao, Jianhua}, title = {Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20707-20717} }

The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference

R. Kenny Jones,

Aalia Habib,

Rana Hanocka,

Daniel Ritchie

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jones_2022_CVPR, author = {Jones, R. Kenny and Habib, Aalia and Hanocka, Rana and Ritchie, Daniel}, title = {The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11614-11623} }

Unsupervised Homography Estimation With Coplanarity-Aware GAN

Mingbo Hong,

Yuhang Lu,

Nianjin Ye,

Chunyu Lin,

Qijun Zhao,

Shuaicheng Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hong_2022_CVPR, author = {Hong, Mingbo and Lu, Yuhang and Ye, Nianjin and Lin, Chunyu and Zhao, Qijun and Liu, Shuaicheng}, title = {Unsupervised Homography Estimation With Coplanarity-Aware GAN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17663-17672} }

LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection

Yihan Zeng,

Da Zhang,

Chunwei Wang,

Zhenwei Miao,

Ting Liu,

Xin Zhan,

Dayang Hao,

Chao Ma

[pdf] [supp]

[bibtex]

@InProceedings{Zeng_2022_CVPR, author = {Zeng, Yihan and Zhang, Da and Wang, Chunwei and Miao, Zhenwei and Liu, Ting and Zhan, Xin and Hao, Dayang and Ma, Chao}, title = {LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17172-17181} }

AutoLoss-Zero: Searching Loss Functions From Scratch for Generic Tasks

Hao Li,

Tianwen Fu,

Jifeng Dai,

Hongsheng Li,

Gao Huang,

Xizhou Zhu

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Hao and Fu, Tianwen and Dai, Jifeng and Li, Hongsheng and Huang, Gao and Zhu, Xizhou}, title = {AutoLoss-Zero: Searching Loss Functions From Scratch for Generic Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1009-1018} }

PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition

Chien-Yi Wang,

Yu-Ding Lu,

Shang-Ta Yang,

Shang-Hong Lai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Chien-Yi and Lu, Yu-Ding and Yang, Shang-Ta and Lai, Shang-Hong}, title = {PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20281-20290} }

OnePose: One-Shot Object Pose Estimation Without CAD Models

Jiaming Sun,

Zihao Wang,

Siyu Zhang,

Xingyi He,

Hongcheng Zhao,

Guofeng Zhang,

Xiaowei Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Jiaming and Wang, Zihao and Zhang, Siyu and He, Xingyi and Zhao, Hongcheng and Zhang, Guofeng and Zhou, Xiaowei}, title = {OnePose: One-Shot Object Pose Estimation Without CAD Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6825-6834} }

Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos

Reza Ghoddoosian,

Isht Dwivedi,

Nakul Agarwal,

Chiho Choi,

Behzad Dariush

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ghoddoosian_2022_CVPR, author = {Ghoddoosian, Reza and Dwivedi, Isht and Agarwal, Nakul and Choi, Chiho and Dariush, Behzad}, title = {Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13780-13790} }

Rethinking Minimal Sufficient Representation in Contrastive Learning

Haoqing Wang,

Xun Guo,

Zhi-Hong Deng,

Yan Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Haoqing and Guo, Xun and Deng, Zhi-Hong and Lu, Yan}, title = {Rethinking Minimal Sufficient Representation in Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16041-16050} }

Disentangling Visual Embeddings for Attributes and Objects

Nirat Saini,

Khoi Pham,

Abhinav Shrivastava

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Saini_2022_CVPR, author = {Saini, Nirat and Pham, Khoi and Shrivastava, Abhinav}, title = {Disentangling Visual Embeddings for Attributes and Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13658-13667} }

Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels

Yikai Wang,

Xinwei Sun,

Yanwei Fu

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yikai and Sun, Xinwei and Fu, Yanwei}, title = {Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {346-355} }

Effective Conditioned and Composed Image Retrieval Combining CLIP-Based Features

Alberto Baldrati,

Marco Bertini,

Tiberio Uricchio,

Alberto Del Bimbo

[pdf]

[bibtex]

@InProceedings{Baldrati_2022_CVPR, author = {Baldrati, Alberto and Bertini, Marco and Uricchio, Tiberio and Del Bimbo, Alberto}, title = {Effective Conditioned and Composed Image Retrieval Combining CLIP-Based Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21466-21474} }

Registering Explicit to Implicit: Towards High-Fidelity Garment Mesh Reconstruction From Single Images

Heming Zhu,

Lingteng Qiu,

Yuda Qiu,

Xiaoguang Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Heming and Qiu, Lingteng and Qiu, Yuda and Han, Xiaoguang}, title = {Registering Explicit to Implicit: Towards High-Fidelity Garment Mesh Reconstruction From Single Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3845-3854} }

Federated Class-Incremental Learning

Jiahua Dong,

Lixu Wang,

Zhen Fang,

Gan Sun,

Shichao Xu,

Xiao Wang,

Qi Zhu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Jiahua and Wang, Lixu and Fang, Zhen and Sun, Gan and Xu, Shichao and Wang, Xiao and Zhu, Qi}, title = {Federated Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10164-10173} }

MiniViT: Compressing Vision Transformers With Weight Multiplexing

Jinnian Zhang,

Houwen Peng,

Kan Wu,

Mengchen Liu,

Bin Xiao,

Jianlong Fu,

Lu Yuan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jinnian and Peng, Houwen and Wu, Kan and Liu, Mengchen and Xiao, Bin and Fu, Jianlong and Yuan, Lu}, title = {MiniViT: Compressing Vision Transformers With Weight Multiplexing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12145-12154} }

Practical Stereo Matching via Cascaded Recurrent Network With Adaptive Correlation

Jiankun Li,

Peisen Wang,

Pengfei Xiong,

Tao Cai,

Ziwei Yan,

Lei Yang,

Jiangyu Liu,

Haoqiang Fan,

Shuaicheng Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jiankun and Wang, Peisen and Xiong, Pengfei and Cai, Tao and Yan, Ziwei and Yang, Lei and Liu, Jiangyu and Fan, Haoqiang and Liu, Shuaicheng}, title = {Practical Stereo Matching via Cascaded Recurrent Network With Adaptive Correlation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16263-16272} }

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions

Sammy Christen,

Muhammed Kocabas,

Emre Aksan,

Jemin Hwangbo,

Jie Song,

Otmar Hilliges

[pdf] [supp]

[bibtex]

@InProceedings{Christen_2022_CVPR, author = {Christen, Sammy and Kocabas, Muhammed and Aksan, Emre and Hwangbo, Jemin and Song, Jie and Hilliges, Otmar}, title = {D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20577-20586} }

Show, Deconfound and Tell: Image Captioning With Causal Inference

Bing Liu,

Dong Wang,

Xu Yang,

Yong Zhou,

Rui Yao,

Zhiwen Shao,

Jiaqi Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Bing and Wang, Dong and Yang, Xu and Zhou, Yong and Yao, Rui and Shao, Zhiwen and Zhao, Jiaqi}, title = {Show, Deconfound and Tell: Image Captioning With Causal Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18041-18050} }

Extracting Triangular 3D Models, Materials, and Lighting From Images

Jacob Munkberg,

Jon Hasselgren,

Tianchang Shen,

Jun Gao,

Wenzheng Chen,

Alex Evans,

Thomas Müller,

Sanja Fidler

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Munkberg_2022_CVPR, author = {Munkberg, Jacob and Hasselgren, Jon and Shen, Tianchang and Gao, Jun and Chen, Wenzheng and Evans, Alex and M\"uller, Thomas and Fidler, Sanja}, title = {Extracting Triangular 3D Models, Materials, and Lighting From Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8280-8290} }

Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph Propagation

Hanyu Shi,

Jiacheng Wei,

Ruibo Li,

Fayao Liu,

Guosheng Lin

[pdf] [supp]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Hanyu and Wei, Jiacheng and Li, Ruibo and Liu, Fayao and Lin, Guosheng}, title = {Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11840-11849} }

ImFace: A Nonlinear 3D Morphable Face Model With Implicit Neural Representations

Mingwu Zheng,

Hongyu Yang,

Di Huang,

Liming Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Mingwu and Yang, Hongyu and Huang, Di and Chen, Liming}, title = {ImFace: A Nonlinear 3D Morphable Face Model With Implicit Neural Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20343-20352} }

MobRecon: Mobile-Friendly Hand Mesh Reconstruction From Monocular Image

Xingyu Chen,

Yufeng Liu,

Yajiao Dong,

Xiong Zhang,

Chongyang Ma,

Yanmin Xiong,

Yuan Zhang,

Xiaoyan Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Xingyu and Liu, Yufeng and Dong, Yajiao and Zhang, Xiong and Ma, Chongyang and Xiong, Yanmin and Zhang, Yuan and Guo, Xiaoyan}, title = {MobRecon: Mobile-Friendly Hand Mesh Reconstruction From Monocular Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20544-20554} }

Layered Depth Refinement With Mask Guidance

Soo Ye Kim,

Jianming Zhang,

Simon Niklaus,

Yifei Fan,

Simon Chen,

Zhe Lin,

Munchurl Kim

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Soo Ye and Zhang, Jianming and Niklaus, Simon and Fan, Yifei and Chen, Simon and Lin, Zhe and Kim, Munchurl}, title = {Layered Depth Refinement With Mask Guidance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3855-3865} }

Parameter-Free Online Test-Time Adaptation

Malik Boudiaf,

Romain Mueller,

Ismail Ben Ayed,

Luca Bertinetto

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Boudiaf_2022_CVPR, author = {Boudiaf, Malik and Mueller, Romain and Ben Ayed, Ismail and Bertinetto, Luca}, title = {Parameter-Free Online Test-Time Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8344-8353} }

SIGMA: Semantic-Complete Graph Matching for Domain Adaptive Object Detection

Wuyang Li,

Xinyu Liu,

Yixuan Yuan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Wuyang and Liu, Xinyu and Yuan, Yixuan}, title = {SIGMA: Semantic-Complete Graph Matching for Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5291-5300} }

Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning

Haoxiang Wang,

Yite Wang,

Ruoyu Sun,

Bo Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Haoxiang and Wang, Yite and Sun, Ruoyu and Li, Bo}, title = {Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9797-9808} }

LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints

Junshu Tang,

Zhijun Gong,

Ran Yi,

Yuan Xie,

Lizhuang Ma

[pdf] [supp]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Junshu and Gong, Zhijun and Yi, Ran and Xie, Yuan and Ma, Lizhuang}, title = {LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1726-1735} }

Scribble-Supervised LiDAR Semantic Segmentation

Ozan Unal,

Dengxin Dai,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Unal_2022_CVPR, author = {Unal, Ozan and Dai, Dengxin and Van Gool, Luc}, title = {Scribble-Supervised LiDAR Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2697-2707} }

AlignMixup: Improving Representations by Interpolating Aligned Features

Shashanka Venkataramanan,

Ewa Kijak,

Laurent Amsaleg,

Yannis Avrithis

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Venkataramanan_2022_CVPR, author = {Venkataramanan, Shashanka and Kijak, Ewa and Amsaleg, Laurent and Avrithis, Yannis}, title = {AlignMixup: Improving Representations by Interpolating Aligned Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19174-19183} }

No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces

Jia-Xing Zhong,

Kaichen Zhou,

Qingyong Hu,

Bing Wang,

Niki Trigoni,

Andrew Markham

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhong_2022_CVPR, author = {Zhong, Jia-Xing and Zhou, Kaichen and Hu, Qingyong and Wang, Bing and Trigoni, Niki and Markham, Andrew}, title = {No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8510-8520} }

HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

Zikang Zhou,

Luyao Ye,

Jianping Wang,

Kui Wu,

Kejie Lu

[pdf] [supp]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Zikang and Ye, Luyao and Wang, Jianping and Wu, Kui and Lu, Kejie}, title = {HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8823-8833} }

HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging

Xuanyu Zhang,

Yongbing Zhang,

Ruiqin Xiong,

Qilin Sun,

Jian Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Xuanyu and Zhang, Yongbing and Xiong, Ruiqin and Sun, Qilin and Zhang, Jian}, title = {HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17532-17541} }

Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space

Arnav Chavan,

Zhiqiang Shen,

Zhuang Liu,

Zechun Liu,

Kwang-Ting Cheng,

Eric P. Xing

[pdf] [arXiv]

[bibtex]

@InProceedings{Chavan_2022_CVPR, author = {Chavan, Arnav and Shen, Zhiqiang and Liu, Zhuang and Liu, Zechun and Cheng, Kwang-Ting and Xing, Eric P.}, title = {Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4931-4941} }

Brain-Inspired Multilayer Perceptron With Spiking Neurons

Wenshuo Li,

Hanting Chen,

Jianyuan Guo,

Ziyang Zhang,

Yunhe Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Wenshuo and Chen, Hanting and Guo, Jianyuan and Zhang, Ziyang and Wang, Yunhe}, title = {Brain-Inspired Multilayer Perceptron With Spiking Neurons}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {783-793} }

Learning To Estimate Robust 3D Human Mesh From In-the-Wild Crowded Scenes

Hongsuk Choi,

Gyeongsik Moon,

JoonKyu Park,

Kyoung Mu Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Choi_2022_CVPR, author = {Choi, Hongsuk and Moon, Gyeongsik and Park, JoonKyu and Lee, Kyoung Mu}, title = {Learning To Estimate Robust 3D Human Mesh From In-the-Wild Crowded Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1475-1484} }

ObjectFormer for Image Manipulation Detection and Localization

Junke Wang,

Zuxuan Wu,

Jingjing Chen,

Xintong Han,

Abhinav Shrivastava,

Ser-Nam Lim,

Yu-Gang Jiang

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Junke and Wu, Zuxuan and Chen, Jingjing and Han, Xintong and Shrivastava, Abhinav and Lim, Ser-Nam and Jiang, Yu-Gang}, title = {ObjectFormer for Image Manipulation Detection and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2364-2373} }

Detecting Deepfakes With Self-Blended Images

Kaede Shiohara,

Toshihiko Yamasaki

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shiohara_2022_CVPR, author = {Shiohara, Kaede and Yamasaki, Toshihiko}, title = {Detecting Deepfakes With Self-Blended Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18720-18729} }

Correlation-Aware Deep Tracking

Fei Xie,

Chunyu Wang,

Guangting Wang,

Yue Cao,

Wankou Yang,

Wenjun Zeng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Fei and Wang, Chunyu and Wang, Guangting and Cao, Yue and Yang, Wankou and Zeng, Wenjun}, title = {Correlation-Aware Deep Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8751-8760} }

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos

Saghir Alfasly,

Jian Lu,

Chen Xu,

Yuru Zou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Alfasly_2022_CVPR, author = {Alfasly, Saghir and Lu, Jian and Xu, Chen and Zou, Yuru}, title = {Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20208-20217} }

NeurMiPs: Neural Mixture of Planar Experts for View Synthesis

Zhi-Hao Lin,

Wei-Chiu Ma,

Hao-Yu Hsu,

Yu-Chiang Frank Wang,

Shenlong Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Zhi-Hao and Ma, Wei-Chiu and Hsu, Hao-Yu and Wang, Yu-Chiang Frank and Wang, Shenlong}, title = {NeurMiPs: Neural Mixture of Planar Experts for View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15702-15712} }

Implicit Sample Extension for Unsupervised Person Re-Identification

Xinyu Zhang,

Dongdong Li,

Zhigang Wang,

Jian Wang,

Errui Ding,

Javen Qinfeng Shi,

Zhaoxiang Zhang,

Jingdong Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Xinyu and Li, Dongdong and Wang, Zhigang and Wang, Jian and Ding, Errui and Shi, Javen Qinfeng and Zhang, Zhaoxiang and Wang, Jingdong}, title = {Implicit Sample Extension for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7369-7378} }

Energy-Based Latent Aligner for Incremental Learning

K J Joseph,

Salman Khan,

Fahad Shahbaz Khan,

Rao Muhammad Anwer,

Vineeth N Balasubramanian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Joseph_2022_CVPR, author = {Joseph, K J and Khan, Salman and Khan, Fahad Shahbaz and Anwer, Rao Muhammad and Balasubramanian, Vineeth N}, title = {Energy-Based Latent Aligner for Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7452-7461} }

Towards Semi-Supervised Deep Facial Expression Recognition With an Adaptive Confidence Margin

Hangyu Li,

Nannan Wang,

Xi Yang,

Xiaoyu Wang,

Xinbo Gao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Hangyu and Wang, Nannan and Yang, Xi and Wang, Xiaoyu and Gao, Xinbo}, title = {Towards Semi-Supervised Deep Facial Expression Recognition With an Adaptive Confidence Margin}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4166-4175} }

GanOrCon: Are Generative Models Useful for Few-Shot Segmentation?

Oindrila Saha,

Zezhou Cheng,

Subhransu Maji

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Saha_2022_CVPR, author = {Saha, Oindrila and Cheng, Zezhou and Maji, Subhransu}, title = {GanOrCon: Are Generative Models Useful for Few-Shot Segmentation?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9991-10000} }

Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models

Ge Kan,

Jinhu Lü,

Tian Wang,

Baochang Zhang,

Aichun Zhu,

Lei Huang,

Guodong Guo,

Hichem Snoussi

[pdf] [supp]

[bibtex]

@InProceedings{Kan_2022_CVPR, author = {Kan, Ge and L\"u, Jinhu and Wang, Tian and Zhang, Baochang and Zhu, Aichun and Huang, Lei and Guo, Guodong and Snoussi, Hichem}, title = {Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18460-18469} }

SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems

Xin Dong,

Barbara De Salvo,

Meng Li,

Chiao Liu,

Zhongnan Qu,

H.T. Kung,

Ziyun Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Xin and De Salvo, Barbara and Li, Meng and Liu, Chiao and Qu, Zhongnan and Kung, H.T. and Li, Ziyun}, title = {SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12559-12569} }

Masked-Attention Mask Transformer for Universal Image Segmentation

Bowen Cheng,

Ishan Misra,

Alexander G. Schwing,

Alexander Kirillov,

Rohit Girdhar

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cheng_2022_CVPR, author = {Cheng, Bowen and Misra, Ishan and Schwing, Alexander G. and Kirillov, Alexander and Girdhar, Rohit}, title = {Masked-Attention Mask Transformer for Universal Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1290-1299} }

Reading To Listen at the Cocktail Party: Multi-Modal Speech Separation

Akam Rahimi,

Triantafyllos Afouras,

Andrew Zisserman

[pdf]

[bibtex]

@InProceedings{Rahimi_2022_CVPR, author = {Rahimi, Akam and Afouras, Triantafyllos and Zisserman, Andrew}, title = {Reading To Listen at the Cocktail Party: Multi-Modal Speech Separation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10493-10502} }

AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval

Riku Togashi,

Mayu Otani,

Yuta Nakashima,

Esa Rahtu,

Janne Heikkilä,

Tetsuya Sakai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Togashi_2022_CVPR, author = {Togashi, Riku and Otani, Mayu and Nakashima, Yuta and Rahtu, Esa and Heikkil\"a, Janne and Sakai, Tetsuya}, title = {AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21076-21085} }

NOC-REK: Novel Object Captioning With Retrieved Vocabulary From External Knowledge

Duc Minh Vo,

Hong Chen,

Akihiro Sugimoto,

Hideki Nakayama

[pdf] [supp]

[bibtex]

@InProceedings{Vo_2022_CVPR, author = {Vo, Duc Minh and Chen, Hong and Sugimoto, Akihiro and Nakayama, Hideki}, title = {NOC-REK: Novel Object Captioning With Retrieved Vocabulary From External Knowledge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18000-18008} }

Boosting Robustness of Image Matting With Context Assembling and Strong Data Augmentation

Yutong Dai,

Brian Price,

He Zhang,

Chunhua Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dai_2022_CVPR, author = {Dai, Yutong and Price, Brian and Zhang, He and Shen, Chunhua}, title = {Boosting Robustness of Image Matting With Context Assembling and Strong Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11707-11716} }

Group R-CNN for Weakly Semi-Supervised Object Detection With Points

Shilong Zhang,

Zhuoran Yu,

Liyang Liu,

Xinjiang Wang,

Aojun Zhou,

Kai Chen

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Shilong and Yu, Zhuoran and Liu, Liyang and Wang, Xinjiang and Zhou, Aojun and Chen, Kai}, title = {Group R-CNN for Weakly Semi-Supervised Object Detection With Points}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9417-9426} }

Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction

Wei Mao,

Miaomiao Liu,

Mathieu Salzmann

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mao_2022_CVPR, author = {Mao, Wei and Liu, Miaomiao and Salzmann, Mathieu}, title = {Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8151-8160} }

Speech Driven Tongue Animation

Salvador Medina,

Denis Tome,

Carsten Stoll,

Mark Tiede,

Kevin Munhall,

Alexander G. Hauptmann,

Iain Matthews

[pdf] [supp]

[bibtex]

@InProceedings{Medina_2022_CVPR, author = {Medina, Salvador and Tome, Denis and Stoll, Carsten and Tiede, Mark and Munhall, Kevin and Hauptmann, Alexander G. and Matthews, Iain}, title = {Speech Driven Tongue Animation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20406-20416} }

Hybrid Relation Guided Set Matching for Few-Shot Action Recognition

Xiang Wang,

Shiwei Zhang,

Zhiwu Qing,

Mingqian Tang,

Zhengrong Zuo,

Changxin Gao,

Rong Jin,

Nong Sang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Xiang and Zhang, Shiwei and Qing, Zhiwu and Tang, Mingqian and Zuo, Zhengrong and Gao, Changxin and Jin, Rong and Sang, Nong}, title = {Hybrid Relation Guided Set Matching for Few-Shot Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19948-19957} }

Self-Supervised Spatial Reasoning on Multi-View Line Drawings

Siyuan Xiang,

Anbang Yang,

Yanfei Xue,

Yaoqing Yang,

Chen Feng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xiang_2022_CVPR, author = {Xiang, Siyuan and Yang, Anbang and Xue, Yanfei and Yang, Yaoqing and Feng, Chen}, title = {Self-Supervised Spatial Reasoning on Multi-View Line Drawings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12745-12754} }

Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation

Zihan Ding,

Tianrui Hui,

Junshi Huang,

Xiaoming Wei,

Jizhong Han,

Si Liu

[pdf]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Zihan and Hui, Tianrui and Huang, Junshi and Wei, Xiaoming and Han, Jizhong and Liu, Si}, title = {Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4964-4973} }

Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images

Huisi Wu,

Zhaoze Wang,

Youyi Song,

Lin Yang,

Jing Qin

[pdf] [supp]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Huisi and Wang, Zhaoze and Song, Youyi and Yang, Lin and Qin, Jing}, title = {Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11666-11675} }

Frame-Wise Action Representations for Long Videos via Sequence Contrastive Learning

Minghao Chen,

Fangyun Wei,

Chong Li,

Deng Cai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Minghao and Wei, Fangyun and Li, Chong and Cai, Deng}, title = {Frame-Wise Action Representations for Long Videos via Sequence Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13801-13810} }

Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction

Zhihao Hu,

Guo Lu,

Jinyang Guo,

Shan Liu,

Wei Jiang,

Dong Xu

[pdf]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Zhihao and Lu, Guo and Guo, Jinyang and Liu, Shan and Jiang, Wei and Xu, Dong}, title = {Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5921-5930} }

Generalized Binary Search Network for Highly-Efficient Multi-View Stereo

Zhenxing Mi,

Chang Di,

Dan Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mi_2022_CVPR, author = {Mi, Zhenxing and Di, Chang and Xu, Dan}, title = {Generalized Binary Search Network for Highly-Efficient Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12991-13000} }

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation

Tao Sun,

Mattia Segu,

Janis Postels,

Yuxuan Wang,

Luc Van Gool,

Bernt Schiele,

Federico Tombari,

Fisher Yu

[pdf] [supp]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Tao and Segu, Mattia and Postels, Janis and Wang, Yuxuan and Van Gool, Luc and Schiele, Bernt and Tombari, Federico and Yu, Fisher}, title = {SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21371-21382} }

Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection

Banghuai Li

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Banghuai}, title = {Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2313-2322} }

FlexIT: Towards Flexible Semantic Image Translation

Guillaume Couairon,

Asya Grechka,

Jakob Verbeek,

Holger Schwenk,

Matthieu Cord

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Couairon_2022_CVPR, author = {Couairon, Guillaume and Grechka, Asya and Verbeek, Jakob and Schwenk, Holger and Cord, Matthieu}, title = {FlexIT: Towards Flexible Semantic Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18270-18279} }

Face2Exp: Combating Data Biases for Facial Expression Recognition

Dan Zeng,

Zhiyuan Lin,

Xiao Yan,

Yuting Liu,

Fei Wang,

Bo Tang

[pdf]

[bibtex]

@InProceedings{Zeng_2022_CVPR, author = {Zeng, Dan and Lin, Zhiyuan and Yan, Xiao and Liu, Yuting and Wang, Fei and Tang, Bo}, title = {Face2Exp: Combating Data Biases for Facial Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20291-20300} }

SAR-Net: Shape Alignment and Recovery Network for Category-Level 6D Object Pose and Size Estimation

Haitao Lin,

Zichang Liu,

Chilam Cheang,

Yanwei Fu,

Guodong Guo,

Xiangyang Xue

[pdf] [supp]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Haitao and Liu, Zichang and Cheang, Chilam and Fu, Yanwei and Guo, Guodong and Xue, Xiangyang}, title = {SAR-Net: Shape Alignment and Recovery Network for Category-Level 6D Object Pose and Size Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6707-6717} }

Whose Hands Are These? Hand Detection and Hand-Body Association in the Wild

Supreeth Narasimhaswamy,

Thanh Nguyen,

Mingzhen Huang,

Minh Hoai

[pdf] [supp]

[bibtex]

@InProceedings{Narasimhaswamy_2022_CVPR, author = {Narasimhaswamy, Supreeth and Nguyen, Thanh and Huang, Mingzhen and Hoai, Minh}, title = {Whose Hands Are These? Hand Detection and Hand-Body Association in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4889-4899} }

Mega-NERF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs

Haithem Turki,

Deva Ramanan,

Mahadev Satyanarayanan

[pdf] [supp]

[bibtex]

@InProceedings{Turki_2022_CVPR, author = {Turki, Haithem and Ramanan, Deva and Satyanarayanan, Mahadev}, title = {Mega-NERF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12922-12931} }

PINA: Learning a Personalized Implicit Neural Avatar From a Single RGB-D Video Sequence

Zijian Dong,

Chen Guo,

Jie Song,

Xu Chen,

Andreas Geiger,

Otmar Hilliges

[pdf] [supp]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Zijian and Guo, Chen and Song, Jie and Chen, Xu and Geiger, Andreas and Hilliges, Otmar}, title = {PINA: Learning a Personalized Implicit Neural Avatar From a Single RGB-D Video Sequence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20470-20480} }

Forecasting From LiDAR via Future Object Detection

Neehar Peri,

Jonathon Luiten,

Mengtian Li,

Aljoša Ošep,

Laura Leal-Taixé,

Deva Ramanan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Peri_2022_CVPR, author = {Peri, Neehar and Luiten, Jonathon and Li, Mengtian and O\v{s}ep, Aljo\v{s}a and Leal-Taix\'e, Laura and Ramanan, Deva}, title = {Forecasting From LiDAR via Future Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17202-17211} }

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

Xiuchao Sui,

Shaohua Li,

Xue Geng,

Yan Wu,

Xinxing Xu,

Yong Liu,

Rick Goh,

Hongyuan Zhu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sui_2022_CVPR, author = {Sui, Xiuchao and Li, Shaohua and Geng, Xue and Wu, Yan and Xu, Xinxing and Liu, Yong and Goh, Rick and Zhu, Hongyuan}, title = {CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17602-17611} }

Adversarial Eigen Attack on Black-Box Models

Linjun Zhou,

Peng Cui,

Xingxuan Zhang,

Yinan Jiang,

Shiqiang Yang

[pdf] [supp]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Linjun and Cui, Peng and Zhang, Xingxuan and Jiang, Yinan and Yang, Shiqiang}, title = {Adversarial Eigen Attack on Black-Box Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15254-15262} }

Training Quantised Neural Networks With STE Variants: The Additive Noise Annealing Algorithm

Matteo Spallanzani,

Gian Paolo Leonardi,

Luca Benini

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Spallanzani_2022_CVPR, author = {Spallanzani, Matteo and Leonardi, Gian Paolo and Benini, Luca}, title = {Training Quantised Neural Networks With STE Variants: The Additive Noise Annealing Algorithm}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {470-479} }

Split Hierarchical Variational Compression

Tom Ryder,

Chen Zhang,

Ning Kang,

Shifeng Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ryder_2022_CVPR, author = {Ryder, Tom and Zhang, Chen and Kang, Ning and Zhang, Shifeng}, title = {Split Hierarchical Variational Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {386-395} }

Video Swin Transformer

Ze Liu,

Jia Ning,

Yue Cao,

Yixuan Wei,

Zheng Zhang,

Stephen Lin,

Han Hu

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Ze and Ning, Jia and Cao, Yue and Wei, Yixuan and Zhang, Zheng and Lin, Stephen and Hu, Han}, title = {Video Swin Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3202-3211} }

Privacy Preserving Partial Localization

Marcel Geppert,

Viktor Larsson,

Johannes L. Schönberger,

Marc Pollefeys

[pdf] [supp]

[bibtex]

@InProceedings{Geppert_2022_CVPR, author = {Geppert, Marcel and Larsson, Viktor and Sch\"onberger, Johannes L. and Pollefeys, Marc}, title = {Privacy Preserving Partial Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17337-17347} }

Cross-Modal Background Suppression for Audio-Visual Event Localization

Yan Xia,

Zhou Zhao

[pdf]

[bibtex]

@InProceedings{Xia_2022_CVPR, author = {Xia, Yan and Zhao, Zhou}, title = {Cross-Modal Background Suppression for Audio-Visual Event Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19989-19998} }

Mutual Quantization for Cross-Modal Search With Noisy Labels

Erkun Yang,

Dongren Yao,

Tongliang Liu,

Cheng Deng

[pdf]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Erkun and Yao, Dongren and Liu, Tongliang and Deng, Cheng}, title = {Mutual Quantization for Cross-Modal Search With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7551-7560} }

Lagrange Motion Analysis and View Embeddings for Improved Gait Recognition

Tianrui Chai,

Annan Li,

Shaoxiong Zhang,

Zilong Li,

Yunhong Wang

[pdf] [supp]

[bibtex]

@InProceedings{Chai_2022_CVPR, author = {Chai, Tianrui and Li, Annan and Zhang, Shaoxiong and Li, Zilong and Wang, Yunhong}, title = {Lagrange Motion Analysis and View Embeddings for Improved Gait Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20249-20258} }

SphereSR: 360deg Image Super-Resolution With Arbitrary Projection via Continuous Spherical Image Representation

Youngho Yoon,

Inchul Chung,

Lin Wang,

Kuk-Jin Yoon

[pdf] [supp]

[bibtex]

@InProceedings{Yoon_2022_CVPR, author = {Yoon, Youngho and Chung, Inchul and Wang, Lin and Yoon, Kuk-Jin}, title = {SphereSR: 360deg Image Super-Resolution With Arbitrary Projection via Continuous Spherical Image Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5677-5686} }

Neural Mesh Simplification

Rolandos Alexandros Potamias,

Stylianos Ploumpis,

Stefanos Zafeiriou

[pdf] [supp]

[bibtex]

@InProceedings{Potamias_2022_CVPR, author = {Potamias, Rolandos Alexandros and Ploumpis, Stylianos and Zafeiriou, Stefanos}, title = {Neural Mesh Simplification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18583-18592} }

Cloth-Changing Person Re-Identification From a Single Image With Gait Prediction and Regularization

Xin Jin,

Tianyu He,

Kecheng Zheng,

Zhiheng Yin,

Xu Shen,

Zhen Huang,

Ruoyu Feng,

Jianqiang Huang,

Zhibo Chen,

Xian-Sheng Hua

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jin_2022_CVPR, author = {Jin, Xin and He, Tianyu and Zheng, Kecheng and Yin, Zhiheng and Shen, Xu and Huang, Zhen and Feng, Ruoyu and Huang, Jianqiang and Chen, Zhibo and Hua, Xian-Sheng}, title = {Cloth-Changing Person Re-Identification From a Single Image With Gait Prediction and Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14278-14287} }

BoxeR: Box-Attention for 2D and 3D Transformers

Duy-Kien Nguyen,

Jihong Ju,

Olaf Booij,

Martin R. Oswald,

Cees G. M. Snoek

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nguyen_2022_CVPR, author = {Nguyen, Duy-Kien and Ju, Jihong and Booij, Olaf and Oswald, Martin R. and Snoek, Cees G. M.}, title = {BoxeR: Box-Attention for 2D and 3D Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4773-4782} }

Neural Architecture Search With Representation Mutual Information

Xiawu Zheng,

Xiang Fei,

Lei Zhang,

Chenglin Wu,

Fei Chao,

Jianzhuang Liu,

Wei Zeng,

Yonghong Tian,

Rongrong Ji

[pdf] [supp]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Xiawu and Fei, Xiang and Zhang, Lei and Wu, Chenglin and Chao, Fei and Liu, Jianzhuang and Zeng, Wei and Tian, Yonghong and Ji, Rongrong}, title = {Neural Architecture Search With Representation Mutual Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11912-11921} }

Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection

Chunyu Li,

Yusuke Monno,

Masatoshi Okutomi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Chunyu and Monno, Yusuke and Okutomi, Masatoshi}, title = {Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19770-19779} }

M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice Transformer

Jinseong Jang,

Dosik Hwang

[pdf] [supp]

[bibtex]

@InProceedings{Jang_2022_CVPR, author = {Jang, Jinseong and Hwang, Dosik}, title = {M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20718-20729} }

3MASSIV: Multilingual, Multimodal and Multi-Aspect Dataset of Social Media Short Videos

Vikram Gupta,

Trisha Mittal,

Puneet Mathur,

Vaibhav Mishra,

Mayank Maheshwari,

Aniket Bera,

Debdoot Mukherjee,

Dinesh Manocha

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gupta_2022_CVPR, author = {Gupta, Vikram and Mittal, Trisha and Mathur, Puneet and Mishra, Vaibhav and Maheshwari, Mayank and Bera, Aniket and Mukherjee, Debdoot and Manocha, Dinesh}, title = {3MASSIV: Multilingual, Multimodal and Multi-Aspect Dataset of Social Media Short Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21064-21075} }

Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective

Gowthami Somepalli,

Liam Fowl,

Arpit Bansal,

Ping Yeh-Chiang,

Yehuda Dar,

Richard Baraniuk,

Micah Goldblum,

Tom Goldstein

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Somepalli_2022_CVPR, author = {Somepalli, Gowthami and Fowl, Liam and Bansal, Arpit and Yeh-Chiang, Ping and Dar, Yehuda and Baraniuk, Richard and Goldblum, Micah and Goldstein, Tom}, title = {Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13699-13708} }

Cross Domain Object Detection by Target-Perceived Dual Branch Distillation

Mengzhe He,

Yali Wang,

Jiaxi Wu,

Yiru Wang,

Hanqing Li,

Bo Li,

Weihao Gan,

Wei Wu,

Yu Qiao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Mengzhe and Wang, Yali and Wu, Jiaxi and Wang, Yiru and Li, Hanqing and Li, Bo and Gan, Weihao and Wu, Wei and Qiao, Yu}, title = {Cross Domain Object Detection by Target-Perceived Dual Branch Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9570-9580} }

A Proposal-Based Paradigm for Self-Supervised Sound Source Localization in Videos

Hanyu Xuan,

Zhiliang Wu,

Jian Yang,

Yan Yan,

Xavier Alameda-Pineda

[pdf]

[bibtex]

@InProceedings{Xuan_2022_CVPR, author = {Xuan, Hanyu and Wu, Zhiliang and Yang, Jian and Yan, Yan and Alameda-Pineda, Xavier}, title = {A Proposal-Based Paradigm for Self-Supervised Sound Source Localization in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1029-1038} }

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

Tao Feng,

Mang Wang,

Hangjie Yuan

[pdf] [arXiv]

[bibtex]

@InProceedings{Feng_2022_CVPR, author = {Feng, Tao and Wang, Mang and Yuan, Hangjie}, title = {Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9427-9436} }

GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning

Chenxin Xu,

Maosen Li,

Zhenyang Ni,

Ya Zhang,

Siheng Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Chenxin and Li, Maosen and Ni, Zhenyang and Zhang, Ya and Chen, Siheng}, title = {GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6498-6507} }

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation

Dayan Guan,

Jiaxing Huang,

Aoran Xiao,

Shijian Lu

[pdf] [arXiv]

[bibtex]

@InProceedings{Guan_2022_CVPR, author = {Guan, Dayan and Huang, Jiaxing and Xiao, Aoran and Lu, Shijian}, title = {Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9968-9978} }

P3IV: Probabilistic Procedure Planning From Instructional Videos With Weak Supervision

He Zhao,

Isma Hadji,

Nikita Dvornik,

Konstantinos G. Derpanis,

Richard P. Wildes,

Allan D. Jepson

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, He and Hadji, Isma and Dvornik, Nikita and Derpanis, Konstantinos G. and Wildes, Richard P. and Jepson, Allan D.}, title = {P3IV: Probabilistic Procedure Planning From Instructional Videos With Weak Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2938-2948} }

Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction

Saquib Sarfraz,

Marios Koulakis,

Constantin Seibold,

Rainer Stiefelhagen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sarfraz_2022_CVPR, author = {Sarfraz, Saquib and Koulakis, Marios and Seibold, Constantin and Stiefelhagen, Rainer}, title = {Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {336-345} }

Coupled Iterative Refinement for 6D Multi-Object Pose Estimation

Lahav Lipson,

Zachary Teed,

Ankit Goyal,

Jia Deng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lipson_2022_CVPR, author = {Lipson, Lahav and Teed, Zachary and Goyal, Ankit and Deng, Jia}, title = {Coupled Iterative Refinement for 6D Multi-Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6728-6737} }

Multi-View Transformer for 3D Visual Grounding

Shijia Huang,

Yilun Chen,

Jiaya Jia,

Liwei Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Shijia and Chen, Yilun and Jia, Jiaya and Wang, Liwei}, title = {Multi-View Transformer for 3D Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15524-15533} }

Structured Sparse R-CNN for Direct Scene Graph Generation

Yao Teng,

Limin Wang

[pdf] [supp]

[bibtex]

@InProceedings{Teng_2022_CVPR, author = {Teng, Yao and Wang, Limin}, title = {Structured Sparse R-CNN for Direct Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19437-19446} }

Multi-Grained Spatio-Temporal Features Perceived Network for Event-Based Lip-Reading

Ganchao Tan,

Yang Wang,

Han Han,

Yang Cao,

Feng Wu,

Zheng-Jun Zha

[pdf] [supp]

[bibtex]

@InProceedings{Tan_2022_CVPR, author = {Tan, Ganchao and Wang, Yang and Han, Han and Cao, Yang and Wu, Feng and Zha, Zheng-Jun}, title = {Multi-Grained Spatio-Temporal Features Perceived Network for Event-Based Lip-Reading}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20094-20103} }

Semi-Supervised Video Paragraph Grounding With Contrastive Encoder

Xun Jiang,

Xing Xu,

Jingran Zhang,

Fumin Shen,

Zuo Cao,

Heng Tao Shen

[pdf]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Xun and Xu, Xing and Zhang, Jingran and Shen, Fumin and Cao, Zuo and Shen, Heng Tao}, title = {Semi-Supervised Video Paragraph Grounding With Contrastive Encoder}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2466-2475} }

Continual Predictive Learning From Videos

Geng Chen,

Wendong Zhang,

Han Lu,

Siyu Gao,

Yunbo Wang,

Mingsheng Long,

Xiaokang Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Geng and Zhang, Wendong and Lu, Han and Gao, Siyu and Wang, Yunbo and Long, Mingsheng and Yang, Xiaokang}, title = {Continual Predictive Learning From Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10728-10737} }

Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory

Sangmin Lee,

Hyung-Il Kim,

Yong Man Ro

[pdf] [supp]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Sangmin and Kim, Hyung-Il and Ro, Yong Man}, title = {Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10534-10543} }

BARC: Learning To Regress 3D Dog Shape From Images by Exploiting Breed Information

Nadine Rüegg,

Silvia Zuffi,

Konrad Schindler,

Michael J. Black

[pdf] [supp]

[bibtex]

@InProceedings{Ruegg_2022_CVPR, author = {R\"uegg, Nadine and Zuffi, Silvia and Schindler, Konrad and Black, Michael J.}, title = {BARC: Learning To Regress 3D Dog Shape From Images by Exploiting Breed Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3876-3884} }

Knowledge Distillation: A Good Teacher Is Patient and Consistent

Lucas Beyer,

Xiaohua Zhai,

Amélie Royer,

Larisa Markeeva,

Rohan Anil,

Alexander Kolesnikov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Beyer_2022_CVPR, author = {Beyer, Lucas and Zhai, Xiaohua and Royer, Am\'elie and Markeeva, Larisa and Anil, Rohan and Kolesnikov, Alexander}, title = {Knowledge Distillation: A Good Teacher Is Patient and Consistent}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10925-10934} }

PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models

Tai-Yin Chiu,

Danna Gurari

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chiu_2022_CVPR, author = {Chiu, Tai-Yin and Gurari, Danna}, title = {PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7844-7853} }

Frame Averaging for Equivariant Shape Space Learning

Matan Atzmon,

Koki Nagano,

Sanja Fidler,

Sameh Khamis,

Yaron Lipman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Atzmon_2022_CVPR, author = {Atzmon, Matan and Nagano, Koki and Fidler, Sanja and Khamis, Sameh and Lipman, Yaron}, title = {Frame Averaging for Equivariant Shape Space Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {631-641} }

Transformer Tracking With Cyclic Shifting Window Attention

Zikai Song,

Junqing Yu,

Yi-Ping Phoebe Chen,

Wei Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Song_2022_CVPR, author = {Song, Zikai and Yu, Junqing and Chen, Yi-Ping Phoebe and Yang, Wei}, title = {Transformer Tracking With Cyclic Shifting Window Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8791-8800} }

ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues

Hengcan Shi,

Munawar Hayat,

Yicheng Wu,

Jianfei Cai

[pdf] [arXiv]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Hengcan and Hayat, Munawar and Wu, Yicheng and Cai, Jianfei}, title = {ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9611-9620} }

Towards Understanding Adversarial Robustness of Optical Flow Networks

Simon Schrodi,

Tonmoy Saikia,

Thomas Brox

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Schrodi_2022_CVPR, author = {Schrodi, Simon and Saikia, Tonmoy and Brox, Thomas}, title = {Towards Understanding Adversarial Robustness of Optical Flow Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8916-8924} }

Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers

Zhiqi Li,

Wenhai Wang,

Enze Xie,

Zhiding Yu,

Anima Anandkumar,

Jose M. Alvarez,

Ping Luo,

Tong Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Zhiqi and Wang, Wenhai and Xie, Enze and Yu, Zhiding and Anandkumar, Anima and Alvarez, Jose M. and Luo, Ping and Lu, Tong}, title = {Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1280-1289} }

Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation

Qingyan Meng,

Mingqing Xiao,

Shen Yan,

Yisen Wang,

Zhouchen Lin,

Zhi-Quan Luo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Meng_2022_CVPR, author = {Meng, Qingyan and Xiao, Mingqing and Yan, Shen and Wang, Yisen and Lin, Zhouchen and Luo, Zhi-Quan}, title = {Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12444-12453} }

AnyFace: Free-Style Text-To-Face Synthesis and Manipulation

Jianxin Sun,

Qiyao Deng,

Qi Li,

Muyi Sun,

Min Ren,

Zhenan Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Jianxin and Deng, Qiyao and Li, Qi and Sun, Muyi and Ren, Min and Sun, Zhenan}, title = {AnyFace: Free-Style Text-To-Face Synthesis and Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18687-18696} }

HL-Net: Heterophily Learning Network for Scene Graph Generation

Xin Lin,

Changxing Ding,

Yibing Zhan,

Zijian Li,

Dacheng Tao

[pdf] [supp]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Xin and Ding, Changxing and Zhan, Yibing and Li, Zijian and Tao, Dacheng}, title = {HL-Net: Heterophily Learning Network for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19476-19485} }

Lifelong Graph Learning

Chen Wang,

Yuheng Qiu,

Dasong Gao,

Sebastian Scherer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Chen and Qiu, Yuheng and Gao, Dasong and Scherer, Sebastian}, title = {Lifelong Graph Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13719-13728} }

Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning

Jongin Lim,

Sangdoo Yun,

Seulki Park,

Jin Young Choi

[pdf] [supp]

[bibtex]

@InProceedings{Lim_2022_CVPR, author = {Lim, Jongin and Yun, Sangdoo and Park, Seulki and Choi, Jin Young}, title = {Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {212-222} }

Computing Wasserstein-p Distance Between Images With Linear Cost

Yidong Chen,

Chen Li,

Zhonghua Lu

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Yidong and Li, Chen and Lu, Zhonghua}, title = {Computing Wasserstein-p Distance Between Images With Linear Cost}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {519-528} }

DLFormer: Discrete Latent Transformer for Video Inpainting

Jingjing Ren,

Qingqing Zheng,

Yuanyuan Zhao,

Xuemiao Xu,

Chen Li

[pdf]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Jingjing and Zheng, Qingqing and Zhao, Yuanyuan and Xu, Xuemiao and Li, Chen}, title = {DLFormer: Discrete Latent Transformer for Video Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3511-3520} }

Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning

Dahyun Kim,

Jonghyun Choi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Dahyun and Choi, Jonghyun}, title = {Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9747-9756} }

High Quality Segmentation for Ultra High-Resolution Images

Tiancheng Shen,

Yuechen Zhang,

Lu Qi,

Jason Kuen,

Xingyu Xie,

Jianlong Wu,

Zhe Lin,

Jiaya Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shen_2022_CVPR, author = {Shen, Tiancheng and Zhang, Yuechen and Qi, Lu and Kuen, Jason and Xie, Xingyu and Wu, Jianlong and Lin, Zhe and Jia, Jiaya}, title = {High Quality Segmentation for Ultra High-Resolution Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1310-1319} }

Investigating Tradeoffs in Real-World Video Super-Resolution

Kelvin C.K. Chan,

Shangchen Zhou,

Xiangyu Xu,

Chen Change Loy

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chan_2022_CVPR, author = {Chan, Kelvin C.K. and Zhou, Shangchen and Xu, Xiangyu and Loy, Chen Change}, title = {Investigating Tradeoffs in Real-World Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5962-5971} }

MERLOT Reserve: Neural Script Knowledge Through Vision and Language and Sound

Rowan Zellers,

Jiasen Lu,

Ximing Lu,

Youngjae Yu,

Yanpeng Zhao,

Mohammadreza Salehi,

Aditya Kusupati,

Jack Hessel,

Ali Farhadi,

Yejin Choi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zellers_2022_CVPR, author = {Zellers, Rowan and Lu, Jiasen and Lu, Ximing and Yu, Youngjae and Zhao, Yanpeng and Salehi, Mohammadreza and Kusupati, Aditya and Hessel, Jack and Farhadi, Ali and Choi, Yejin}, title = {MERLOT Reserve: Neural Script Knowledge Through Vision and Language and Sound}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16375-16387} }

Differentiable Stereopsis: Meshes From Multiple Views Using Differentiable Rendering

Shubham Goel,

Georgia Gkioxari,

Jitendra Malik

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Goel_2022_CVPR, author = {Goel, Shubham and Gkioxari, Georgia and Malik, Jitendra}, title = {Differentiable Stereopsis: Meshes From Multiple Views Using Differentiable Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8635-8644} }

Towards Practical Certifiable Patch Defense With Vision Transformer

Zhaoyu Chen,

Bo Li,

Jianghe Xu,

Shuang Wu,

Shouhong Ding,

Wenqiang Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Zhaoyu and Li, Bo and Xu, Jianghe and Wu, Shuang and Ding, Shouhong and Zhang, Wenqiang}, title = {Towards Practical Certifiable Patch Defense With Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15148-15158} }

A Conservative Approach for Unbiased Learning on Unknown Biases

Myeongho Jeon,

Daekyung Kim,

Woochul Lee,

Myungjoo Kang,

Joonseok Lee

[pdf] [supp]

[bibtex]

@InProceedings{Jeon_2022_CVPR, author = {Jeon, Myeongho and Kim, Daekyung and Lee, Woochul and Kang, Myungjoo and Lee, Joonseok}, title = {A Conservative Approach for Unbiased Learning on Unknown Biases}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16752-16760} }

Large-Scale Video Panoptic Segmentation in the Wild: A Benchmark

Jiaxu Miao,

Xiaohan Wang,

Yu Wu,

Wei Li,

Xu Zhang,

Yunchao Wei,

Yi Yang

[pdf] [supp]

[bibtex]

@InProceedings{Miao_2022_CVPR, author = {Miao, Jiaxu and Wang, Xiaohan and Wu, Yu and Li, Wei and Zhang, Xu and Wei, Yunchao and Yang, Yi}, title = {Large-Scale Video Panoptic Segmentation in the Wild: A Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21033-21043} }

Label, Verify, Correct: A Simple Few Shot Object Detection Method

Prannay Kaul,

Weidi Xie,

Andrew Zisserman

[pdf] [arXiv]

[bibtex]

@InProceedings{Kaul_2022_CVPR, author = {Kaul, Prannay and Xie, Weidi and Zisserman, Andrew}, title = {Label, Verify, Correct: A Simple Few Shot Object Detection Method}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14237-14247} }

Aesthetic Text Logo Synthesis via Content-Aware Layout Inferring

Yizhi Wang,

Guo Pu,

Wenhan Luo,

Yexin Wang,

Pengfei Xiong,

Hongwen Kang,

Zhouhui Lian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yizhi and Pu, Guo and Luo, Wenhan and Wang, Yexin and Xiong, Pengfei and Kang, Hongwen and Lian, Zhouhui}, title = {Aesthetic Text Logo Synthesis via Content-Aware Layout Inferring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2436-2445} }

Global Tracking via Ensemble of Local Trackers

Zikun Zhou,

Jianqiu Chen,

Wenjie Pei,

Kaige Mao,

Hongpeng Wang,

Zhenyu He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Zikun and Chen, Jianqiu and Pei, Wenjie and Mao, Kaige and Wang, Hongpeng and He, Zhenyu}, title = {Global Tracking via Ensemble of Local Trackers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8761-8770} }

Autoregressive Image Generation Using Residual Quantization

Doyup Lee,

Chiheon Kim,

Saehoon Kim,

Minsu Cho,

Wook-Shin Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Doyup and Kim, Chiheon and Kim, Saehoon and Cho, Minsu and Han, Wook-Shin}, title = {Autoregressive Image Generation Using Residual Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11523-11532} }

MPC: Multi-View Probabilistic Clustering

Junjie Liu,

Junlong Liu,

Shaotian Yan,

Rongxin Jiang,

Xiang Tian,

Boxuan Gu,

Yaowu Chen,

Chen Shen,

Jianqiang Huang

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Junjie and Liu, Junlong and Yan, Shaotian and Jiang, Rongxin and Tian, Xiang and Gu, Boxuan and Chen, Yaowu and Shen, Chen and Huang, Jianqiang}, title = {MPC: Multi-View Probabilistic Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9509-9518} }

End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection

Congcong Li,

Xinyao Wang,

Longyin Wen,

Dexiang Hong,

Tiejian Luo,

Libo Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Congcong and Wang, Xinyao and Wen, Longyin and Hong, Dexiang and Luo, Tiejian and Zhang, Libo}, title = {End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13967-13976} }

GrainSpace: A Large-Scale Dataset for Fine-Grained and Domain-Adaptive Recognition of Cereal Grains

Lei Fan,

Yiwen Ding,

Dongdong Fan,

Donglin Di,

Maurice Pagnucco,

Yang Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Lei and Ding, Yiwen and Fan, Dongdong and Di, Donglin and Pagnucco, Maurice and Song, Yang}, title = {GrainSpace: A Large-Scale Dataset for Fine-Grained and Domain-Adaptive Recognition of Cereal Grains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21116-21125} }

BokehMe: When Neural Rendering Meets Classical Rendering

Juewen Peng,

Zhiguo Cao,

Xianrui Luo,

Hao Lu,

Ke Xian,

Jianming Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Peng_2022_CVPR, author = {Peng, Juewen and Cao, Zhiguo and Luo, Xianrui and Lu, Hao and Xian, Ke and Zhang, Jianming}, title = {BokehMe: When Neural Rendering Meets Classical Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16283-16292} }

Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification

Xinyu Lin,

Jinxing Li,

Zeyu Ma,

Huafeng Li,

Shuang Li,

Kaixiong Xu,

Guangming Lu,

David Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Xinyu and Li, Jinxing and Ma, Zeyu and Li, Huafeng and Li, Shuang and Xu, Kaixiong and Lu, Guangming and Zhang, David}, title = {Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20973-20982} }

MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning

Shiming Chen,

Ziming Hong,

Guo-Sen Xie,

Wenhan Yang,

Qinmu Peng,

Kai Wang,

Jian Zhao,

Xinge You

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Shiming and Hong, Ziming and Xie, Guo-Sen and Yang, Wenhan and Peng, Qinmu and Wang, Kai and Zhao, Jian and You, Xinge}, title = {MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7612-7621} }

Oriented RepPoints for Aerial Object Detection

Wentong Li,

Yijie Chen,

Kaixuan Hu,

Jianke Zhu

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Wentong and Chen, Yijie and Hu, Kaixuan and Zhu, Jianke}, title = {Oriented RepPoints for Aerial Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1829-1838} }

OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data

David Schinagl,

Georg Krispel,

Horst Possegger,

Peter M. Roth,

Horst Bischof

[pdf] [supp]

[bibtex]

@InProceedings{Schinagl_2022_CVPR, author = {Schinagl, David and Krispel, Georg and Possegger, Horst and Roth, Peter M. and Bischof, Horst}, title = {OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1141-1150} }

BigDatasetGAN: Synthesizing ImageNet With Pixel-Wise Annotations

Daiqing Li,

Huan Ling,

Seung Wook Kim,

Karsten Kreis,

Sanja Fidler,

Antonio Torralba

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Daiqing and Ling, Huan and Kim, Seung Wook and Kreis, Karsten and Fidler, Sanja and Torralba, Antonio}, title = {BigDatasetGAN: Synthesizing ImageNet With Pixel-Wise Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21330-21340} }

Align Representations With Base: A New Approach to Self-Supervised Learning

Shaofeng Zhang,

Lyn Qiu,

Feng Zhu,

Junchi Yan,

Hengrui Zhang,

Rui Zhao,

Hongyang Li,

Xiaokang Yang

[pdf]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Shaofeng and Qiu, Lyn and Zhu, Feng and Yan, Junchi and Zhang, Hengrui and Zhao, Rui and Li, Hongyang and Yang, Xiaokang}, title = {Align Representations With Base: A New Approach to Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16600-16609} }

Exploring Denoised Cross-Video Contrast for Weakly-Supervised Temporal Action Localization

Jingjing Li,

Tianyu Yang,

Wei Ji,

Jue Wang,

Li Cheng

[pdf]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jingjing and Yang, Tianyu and Ji, Wei and Wang, Jue and Cheng, Li}, title = {Exploring Denoised Cross-Video Contrast for Weakly-Supervised Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19914-19924} }

Pre-Train, Self-Train, Distill: A Simple Recipe for Supersizing 3D Reconstruction

Kalyan Vasudev Alwala,

Abhinav Gupta,

Shubham Tulsiani

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Alwala_2022_CVPR, author = {Alwala, Kalyan Vasudev and Gupta, Abhinav and Tulsiani, Shubham}, title = {Pre-Train, Self-Train, Distill: A Simple Recipe for Supersizing 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3773-3782} }

Meta Distribution Alignment for Generalizable Person Re-Identification

Hao Ni,

Jingkuan Song,

Xiaopeng Luo,

Feng Zheng,

Wen Li,

Heng Tao Shen

[pdf]

[bibtex]

@InProceedings{Ni_2022_CVPR, author = {Ni, Hao and Song, Jingkuan and Luo, Xiaopeng and Zheng, Feng and Li, Wen and Shen, Heng Tao}, title = {Meta Distribution Alignment for Generalizable Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2487-2496} }

TeachAugment: Data Augmentation Optimization Using Teacher Knowledge

Teppei Suzuki

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Suzuki_2022_CVPR, author = {Suzuki, Teppei}, title = {TeachAugment: Data Augmentation Optimization Using Teacher Knowledge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10904-10914} }

SVIP: Sequence VerIfication for Procedures in Videos

Yicheng Qian,

Weixin Luo,

Dongze Lian,

Xu Tang,

Peilin Zhao,

Shenghua Gao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Qian_2022_CVPR, author = {Qian, Yicheng and Luo, Weixin and Lian, Dongze and Tang, Xu and Zhao, Peilin and Gao, Shenghua}, title = {SVIP: Sequence VerIfication for Procedures in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19890-19902} }

Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning

Minghang Zheng,

Yanjie Huang,

Qingchao Chen,

Yuxin Peng,

Yang Liu

[pdf]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Minghang and Huang, Yanjie and Chen, Qingchao and Peng, Yuxin and Liu, Yang}, title = {Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15555-15564} }

Low-Resource Adaptation for Personalized Co-Speech Gesture Generation

Chaitanya Ahuja,

Dong Won Lee,

Louis-Philippe Morency

[pdf] [supp]

[bibtex]

@InProceedings{Ahuja_2022_CVPR, author = {Ahuja, Chaitanya and Lee, Dong Won and Morency, Louis-Philippe}, title = {Low-Resource Adaptation for Personalized Co-Speech Gesture Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20566-20576} }

BoosterNet: Improving Domain Generalization of Deep Neural Nets Using Culpability-Ranked Features

Nourhan Bayasi,

Ghassan Hamarneh,

Rafeef Garbi

[pdf]

[bibtex]

@InProceedings{Bayasi_2022_CVPR, author = {Bayasi, Nourhan and Hamarneh, Ghassan and Garbi, Rafeef}, title = {BoosterNet: Improving Domain Generalization of Deep Neural Nets Using Culpability-Ranked Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {538-548} }

Task-Specific Inconsistency Alignment for Domain Adaptive Object Detection

Liang Zhao,

Limin Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Liang and Wang, Limin}, title = {Task-Specific Inconsistency Alignment for Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14217-14226} }

HDR-NeRF: High Dynamic Range Neural Radiance Fields

Xin Huang,

Qi Zhang,

Ying Feng,

Hongdong Li,

Xuan Wang,

Qing Wang

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Xin and Zhang, Qi and Feng, Ying and Li, Hongdong and Wang, Xuan and Wang, Qing}, title = {HDR-NeRF: High Dynamic Range Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18398-18408} }

MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph

Luanyuan Dai,

Yizhang Liu,

Jiayi Ma,

Lifang Wei,

Taotao Lai,

Changcai Yang,

Riqing Chen

[pdf]

[bibtex]

@InProceedings{Dai_2022_CVPR, author = {Dai, Luanyuan and Liu, Yizhang and Ma, Jiayi and Wei, Lifang and Lai, Taotao and Yang, Changcai and Chen, Riqing}, title = {MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8973-8982} }

Neural Emotion Director: Speech-Preserving Semantic Control of Facial Expressions in "In-the-Wild" Videos

Foivos Paraperas Papantoniou,

Panagiotis P. Filntisis,

Petros Maragos,

Anastasios Roussos

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Papantoniou_2022_CVPR, author = {Papantoniou, Foivos Paraperas and Filntisis, Panagiotis P. and Maragos, Petros and Roussos, Anastasios}, title = {Neural Emotion Director: Speech-Preserving Semantic Control of Facial Expressions in ''In-the-Wild'' Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18781-18790} }

Learning To Listen: Modeling Non-Deterministic Dyadic Facial Motion

Evonne Ng,

Hanbyul Joo,

Liwen Hu,

Hao Li,

Trevor Darrell,

Angjoo Kanazawa,

Shiry Ginosar

[pdf] [arXiv]

[bibtex]

@InProceedings{Ng_2022_CVPR, author = {Ng, Evonne and Joo, Hanbyul and Hu, Liwen and Li, Hao and Darrell, Trevor and Kanazawa, Angjoo and Ginosar, Shiry}, title = {Learning To Listen: Modeling Non-Deterministic Dyadic Facial Motion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20395-20405} }

3PSDF: Three-Pole Signed Distance Function for Learning Surfaces With Arbitrary Topologies

Weikai Chen,

Cheng Lin,

Weiyang Li,

Bo Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Weikai and Lin, Cheng and Li, Weiyang and Yang, Bo}, title = {3PSDF: Three-Pole Signed Distance Function for Learning Surfaces With Arbitrary Topologies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18522-18531} }

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation From Monocular Video

Wen-Li Wei,

Jen-Chun Lin,

Tyng-Luh Liu,

Hong-Yuan Mark Liao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wei_2022_CVPR, author = {Wei, Wen-Li and Lin, Jen-Chun and Liu, Tyng-Luh and Liao, Hong-Yuan Mark}, title = {Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13211-13220} }

MixFormer: End-to-End Tracking With Iterative Mixed Attention

Yutao Cui,

Cheng Jiang,

Limin Wang,

Gangshan Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cui_2022_CVPR, author = {Cui, Yutao and Jiang, Cheng and Wang, Limin and Wu, Gangshan}, title = {MixFormer: End-to-End Tracking With Iterative Mixed Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13608-13618} }

Sparse Fuse Dense: Towards High Quality 3D Detection With Depth Completion

Xiaopei Wu,

Liang Peng,

Honghui Yang,

Liang Xie,

Chenxi Huang,

Chengqi Deng,

Haifeng Liu,

Deng Cai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Xiaopei and Peng, Liang and Yang, Honghui and Xie, Liang and Huang, Chenxi and Deng, Chengqi and Liu, Haifeng and Cai, Deng}, title = {Sparse Fuse Dense: Towards High Quality 3D Detection With Depth Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5418-5427} }

GIRAFFE HD: A High-Resolution 3D-Aware Generative Model

Yang Xue,

Yuheng Li,

Krishna Kumar Singh,

Yong Jae Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xue_2022_CVPR, author = {Xue, Yang and Li, Yuheng and Singh, Krishna Kumar and Lee, Yong Jae}, title = {GIRAFFE HD: A High-Resolution 3D-Aware Generative Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18440-18449} }

InOut: Diverse Image Outpainting via GAN Inversion

Yen-Chi Cheng,

Chieh Hubert Lin,

Hsin-Ying Lee,

Jian Ren,

Sergey Tulyakov,

Ming-Hsuan Yang

[pdf]

[bibtex]

@InProceedings{Cheng_2022_CVPR, author = {Cheng, Yen-Chi and Lin, Chieh Hubert and Lee, Hsin-Ying and Ren, Jian and Tulyakov, Sergey and Yang, Ming-Hsuan}, title = {InOut: Diverse Image Outpainting via GAN Inversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11431-11440} }

PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction

Zeren Sun,

Fumin Shen,

Dan Huang,

Qiong Wang,

Xiangbo Shu,

Yazhou Yao,

Jinhui Tang

[pdf]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Zeren and Shen, Fumin and Huang, Dan and Wang, Qiong and Shu, Xiangbo and Yao, Yazhou and Tang, Jinhui}, title = {PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5311-5320} }

Estimating Structural Disparities for Face Models

Shervin Ardeshir,

Cristina Segalin,

Nathan Kallus

[pdf] [arXiv]

[bibtex]

@InProceedings{Ardeshir_2022_CVPR, author = {Ardeshir, Shervin and Segalin, Cristina and Kallus, Nathan}, title = {Estimating Structural Disparities for Face Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10358-10367} }

Revisiting the Transferability of Supervised Pretraining: An MLP Perspective

Yizhou Wang,

Shixiang Tang,

Feng Zhu,

Lei Bai,

Rui Zhao,

Donglian Qi,

Wanli Ouyang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yizhou and Tang, Shixiang and Zhu, Feng and Bai, Lei and Zhao, Rui and Qi, Donglian and Ouyang, Wanli}, title = {Revisiting the Transferability of Supervised Pretraining: An MLP Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9183-9193} }

Plenoxels: Radiance Fields Without Neural Networks

Sara Fridovich-Keil,

Alex Yu,

Matthew Tancik,

Qinhong Chen,

Benjamin Recht,

Angjoo Kanazawa

[pdf] [supp]

[bibtex]

@InProceedings{Fridovich-Keil_2022_CVPR, author = {Fridovich-Keil, Sara and Yu, Alex and Tancik, Matthew and Chen, Qinhong and Recht, Benjamin and Kanazawa, Angjoo}, title = {Plenoxels: Radiance Fields Without Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5501-5510} }

What Matters for Meta-Learning Vision Regression Tasks?

Ning Gao,

Hanna Ziesche,

Ngo Anh Vien,

Michael Volpp,

Gerhard Neumann

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gao_2022_CVPR, author = {Gao, Ning and Ziesche, Hanna and Vien, Ngo Anh and Volpp, Michael and Neumann, Gerhard}, title = {What Matters for Meta-Learning Vision Regression Tasks?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14776-14786} }

Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition

Yanan Chang,

Shangfei Wang

[pdf]

[bibtex]

@InProceedings{Chang_2022_CVPR, author = {Chang, Yanan and Wang, Shangfei}, title = {Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20417-20426} }

Selective-Supervised Contrastive Learning With Noisy Labels

Shikun Li,

Xiaobo Xia,

Shiming Ge,

Tongliang Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Shikun and Xia, Xiaobo and Ge, Shiming and Liu, Tongliang}, title = {Selective-Supervised Contrastive Learning With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {316-325} }

Learning Second Order Local Anomaly for General Face Forgery Detection

Jianwei Fei,

Yunshu Dai,

Peipeng Yu,

Tianrun Shen,

Zhihua Xia,

Jian Weng

[pdf]

[bibtex]

@InProceedings{Fei_2022_CVPR, author = {Fei, Jianwei and Dai, Yunshu and Yu, Peipeng and Shen, Tianrun and Xia, Zhihua and Weng, Jian}, title = {Learning Second Order Local Anomaly for General Face Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20270-20280} }

ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation

Seunghun Lee,

Wonhyeok Choi,

Changjae Kim,

Minwoo Choi,

Sunghoon Im

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Seunghun and Choi, Wonhyeok and Kim, Changjae and Choi, Minwoo and Im, Sunghoon}, title = {ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19196-19206} }

The Devil Is in the Labels: Noisy Label Correction for Robust Scene Graph Generation

Lin Li,

Long Chen,

Yifeng Huang,

Zhimeng Zhang,

Songyang Zhang,

Jun Xiao

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Lin and Chen, Long and Huang, Yifeng and Zhang, Zhimeng and Zhang, Songyang and Xiao, Jun}, title = {The Devil Is in the Labels: Noisy Label Correction for Robust Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18869-18878} }

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

Zhao Yang,

Jiaqi Wang,

Yansong Tang,

Kai Chen,

Hengshuang Zhao,

Philip H.S. Torr

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Zhao and Wang, Jiaqi and Tang, Yansong and Chen, Kai and Zhao, Hengshuang and Torr, Philip H.S.}, title = {LAVT: Language-Aware Vision Transformer for Referring Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18155-18165} }

SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation

Xiaoqing Guo,

Jie Liu,

Tongliang Liu,

Yixuan Yuan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Xiaoqing and Liu, Jie and Liu, Tongliang and Yuan, Yixuan}, title = {SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7032-7041} }

Interspace Pruning: Using Adaptive Filter Representations To Improve Training of Sparse CNNs

Paul Wimmer,

Jens Mehnert,

Alexandru Condurache

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wimmer_2022_CVPR, author = {Wimmer, Paul and Mehnert, Jens and Condurache, Alexandru}, title = {Interspace Pruning: Using Adaptive Filter Representations To Improve Training of Sparse CNNs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12527-12537} }

PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions

R. Kenny Jones,

Homer Walke,

Daniel Ritchie

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jones_2022_CVPR, author = {Jones, R. Kenny and Walke, Homer and Ritchie, Daniel}, title = {PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9871-9880} }

PTTR: Relational 3D Point Cloud Object Tracking With Transformer

Changqing Zhou,

Zhipeng Luo,

Yueru Luo,

Tianrui Liu,

Liang Pan,

Zhongang Cai,

Haiyu Zhao,

Shijian Lu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Changqing and Luo, Zhipeng and Luo, Yueru and Liu, Tianrui and Pan, Liang and Cai, Zhongang and Zhao, Haiyu and Lu, Shijian}, title = {PTTR: Relational 3D Point Cloud Object Tracking With Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8531-8540} }

Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity

Cheng Luo,

Qinliang Lin,

Weicheng Xie,

Bizhu Wu,

Jinheng Xie,

Linlin Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Luo_2022_CVPR, author = {Luo, Cheng and Lin, Qinliang and Xie, Weicheng and Wu, Bizhu and Xie, Jinheng and Shen, Linlin}, title = {Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15315-15324} }

ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds

Georg Bökman,

Fredrik Kahl,

Axel Flinth

[pdf] [supp]

[bibtex]

@InProceedings{Bokman_2022_CVPR, author = {B\"okman, Georg and Kahl, Fredrik and Flinth, Axel}, title = {ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10976-10985} }

Video Demoireing With Relation-Based Temporal Consistency

Peng Dai,

Xin Yu,

Lan Ma,

Baoheng Zhang,

Jia Li,

Wenbo Li,

Jiajun Shen,

Xiaojuan Qi

[pdf] [arXiv]

[bibtex]

@InProceedings{Dai_2022_CVPR, author = {Dai, Peng and Yu, Xin and Ma, Lan and Zhang, Baoheng and Li, Jia and Li, Wenbo and Shen, Jiajun and Qi, Xiaojuan}, title = {Video Demoireing With Relation-Based Temporal Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17622-17631} }

Co-Domain Symmetry for Complex-Valued Deep Learning

Utkarsh Singhal,

Yifei Xing,

Stella X. Yu

[pdf] [arXiv]

[bibtex]

@InProceedings{Singhal_2022_CVPR, author = {Singhal, Utkarsh and Xing, Yifei and Yu, Stella X.}, title = {Co-Domain Symmetry for Complex-Valued Deep Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {681-690} }

Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation

Jinchao Yang,

Fei Guo,

Shuo Chen,

Jun Li,

Jian Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Jinchao and Guo, Fei and Chen, Shuo and Li, Jun and Yang, Jian}, title = {Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7834-7843} }

Modeling Image Composition for Complex Scene Generation

Zuopeng Yang,

Daqing Liu,

Chaoyue Wang,

Jie Yang,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Zuopeng and Liu, Daqing and Wang, Chaoyue and Yang, Jie and Tao, Dacheng}, title = {Modeling Image Composition for Complex Scene Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7764-7773} }

SS3D: Sparsely-Supervised 3D Object Detection From Point Cloud

Chuandong Liu,

Chenqiang Gao,

Fangcen Liu,

Jiang Liu,

Deyu Meng,

Xinbo Gao

[pdf]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Chuandong and Gao, Chenqiang and Liu, Fangcen and Liu, Jiang and Meng, Deyu and Gao, Xinbo}, title = {SS3D: Sparsely-Supervised 3D Object Detection From Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8428-8437} }

Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer

Wenjian Wang,

Lijuan Duan,

Yuxi Wang,

Qing En,

Junsong Fan,

Zhaoxiang Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Wenjian and Duan, Lijuan and Wang, Yuxi and En, Qing and Fan, Junsong and Zhang, Zhaoxiang}, title = {Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7065-7074} }

GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation

Yu Deng,

Jiaolong Yang,

Jianfeng Xiang,

Xin Tong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Deng_2022_CVPR, author = {Deng, Yu and Yang, Jiaolong and Xiang, Jianfeng and Tong, Xin}, title = {GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10673-10683} }

UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training

Zhaowen Li,

Yousong Zhu,

Fan Yang,

Wei Li,

Chaoyang Zhao,

Yingying Chen,

Zhiyang Chen,

Jiahao Xie,

Liwei Wu,

Rui Zhao,

Ming Tang,

Jinqiao Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Zhaowen and Zhu, Yousong and Yang, Fan and Li, Wei and Zhao, Chaoyang and Chen, Yingying and Chen, Zhiyang and Xie, Jiahao and Wu, Liwei and Zhao, Rui and Tang, Ming and Wang, Jinqiao}, title = {UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14627-14636} }

GraFormer: Graph-Oriented Transformer for 3D Pose Estimation

Weixi Zhao,

Weiqiang Wang,

Yunjie Tian

[pdf]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Weixi and Wang, Weiqiang and Tian, Yunjie}, title = {GraFormer: Graph-Oriented Transformer for 3D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20438-20447} }

Decoupling Zero-Shot Semantic Segmentation

Jian Ding,

Nan Xue,

Gui-Song Xia,

Dengxin Dai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Jian and Xue, Nan and Xia, Gui-Song and Dai, Dengxin}, title = {Decoupling Zero-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11583-11592} }

Neural Collaborative Graph Machines for Table Structure Recognition

Hao Liu,

Xin Li,

Bing Liu,

Deqiang Jiang,

Yinsong Liu,

Bo Ren

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Hao and Li, Xin and Liu, Bing and Jiang, Deqiang and Liu, Yinsong and Ren, Bo}, title = {Neural Collaborative Graph Machines for Table Structure Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4533-4542} }

Towards Robust Vision Transformer

Xiaofeng Mao,

Gege Qi,

Yuefeng Chen,

Xiaodan Li,

Ranjie Duan,

Shaokai Ye,

Yuan He,

Hui Xue

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mao_2022_CVPR, author = {Mao, Xiaofeng and Qi, Gege and Chen, Yuefeng and Li, Xiaodan and Duan, Ranjie and Ye, Shaokai and He, Yuan and Xue, Hui}, title = {Towards Robust Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12042-12051} }

DeepCurrents: Learning Implicit Representations of Shapes With Boundaries

David Palmer,

Dmitriy Smirnov,

Stephanie Wang,

Albert Chern,

Justin Solomon

[pdf] [arXiv]

[bibtex]

@InProceedings{Palmer_2022_CVPR, author = {Palmer, David and Smirnov, Dmitriy and Wang, Stephanie and Chern, Albert and Solomon, Justin}, title = {DeepCurrents: Learning Implicit Representations of Shapes With Boundaries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18665-18675} }

Learning Affordance Grounding From Exocentric Images

Hongchen Luo,

Wei Zhai,

Jing Zhang,

Yang Cao,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Luo_2022_CVPR, author = {Luo, Hongchen and Zhai, Wei and Zhang, Jing and Cao, Yang and Tao, Dacheng}, title = {Learning Affordance Grounding From Exocentric Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2252-2261} }

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

Van Nguyen Nguyen,

Yinlin Hu,

Yang Xiao,

Mathieu Salzmann,

Vincent Lepetit

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nguyen_2022_CVPR, author = {Nguyen, Van Nguyen and Hu, Yinlin and Xiao, Yang and Salzmann, Mathieu and Lepetit, Vincent}, title = {Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6771-6780} }

Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability

Yifeng Xiong,

Jiadong Lin,

Min Zhang,

John E. Hopcroft,

Kun He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xiong_2022_CVPR, author = {Xiong, Yifeng and Lin, Jiadong and Zhang, Min and Hopcroft, John E. and He, Kun}, title = {Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14983-14992} }

Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild

Xuefeng Du,

Xin Wang,

Gabriel Gozum,

Yixuan Li

[pdf] [supp]

[bibtex]

@InProceedings{Du_2022_CVPR, author = {Du, Xuefeng and Wang, Xin and Gozum, Gabriel and Li, Yixuan}, title = {Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13678-13688} }

Multi-Modal Extreme Classification

Anshul Mittal,

Kunal Dahiya,

Shreya Malani,

Janani Ramaswamy,

Seba Kuruvilla,

Jitendra Ajmera,

Keng-hao Chang,

Sumeet Agarwal,

Purushottam Kar,

Manik Varma

[pdf]

[bibtex]

@InProceedings{Mittal_2022_CVPR, author = {Mittal, Anshul and Dahiya, Kunal and Malani, Shreya and Ramaswamy, Janani and Kuruvilla, Seba and Ajmera, Jitendra and Chang, Keng-hao and Agarwal, Sumeet and Kar, Purushottam and Varma, Manik}, title = {Multi-Modal Extreme Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12393-12402} }

IFOR: Iterative Flow Minimization for Robotic Object Rearrangement

Ankit Goyal,

Arsalan Mousavian,

Chris Paxton,

Yu-Wei Chao,

Brian Okorn,

Jia Deng,

Dieter Fox

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Goyal_2022_CVPR, author = {Goyal, Ankit and Mousavian, Arsalan and Paxton, Chris and Chao, Yu-Wei and Okorn, Brian and Deng, Jia and Fox, Dieter}, title = {IFOR: Iterative Flow Minimization for Robotic Object Rearrangement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14787-14797} }

Training-Free Transformer Architecture Search

Qinqin Zhou,

Kekai Sheng,

Xiawu Zheng,

Ke Li,

Xing Sun,

Yonghong Tian,

Jie Chen,

Rongrong Ji

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Qinqin and Sheng, Kekai and Zheng, Xiawu and Li, Ke and Sun, Xing and Tian, Yonghong and Chen, Jie and Ji, Rongrong}, title = {Training-Free Transformer Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10894-10903} }

Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation

Ziad Al-Halah,

Santhosh Kumar Ramakrishnan,

Kristen Grauman

[pdf] [supp]

[bibtex]

@InProceedings{Al-Halah_2022_CVPR, author = {Al-Halah, Ziad and Ramakrishnan, Santhosh Kumar and Grauman, Kristen}, title = {Zero Experience Required: Plug \& Play Modular Transfer Learning for Semantic Visual Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17031-17041} }

Non-Isotropy Regularization for Proxy-Based Deep Metric Learning

Karsten Roth,

Oriol Vinyals,

Zeynep Akata

[pdf] [arXiv]

[bibtex]

@InProceedings{Roth_2022_CVPR, author = {Roth, Karsten and Vinyals, Oriol and Akata, Zeynep}, title = {Non-Isotropy Regularization for Proxy-Based Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7420-7430} }

C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation

Jinheng Xie,

Jianfeng Xiang,

Junliang Chen,

Xianxu Hou,

Xiaodong Zhao,

Linlin Shen

[pdf] [supp]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Jinheng and Xiang, Jianfeng and Chen, Junliang and Hou, Xianxu and Zhao, Xiaodong and Shen, Linlin}, title = {C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {989-998} }

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

Wenqiang Zhang,

Zilong Huang,

Guozhong Luo,

Tao Chen,

Xinggang Wang,

Wenyu Liu,

Gang Yu,

Chunhua Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Wenqiang and Huang, Zilong and Luo, Guozhong and Chen, Tao and Wang, Xinggang and Liu, Wenyu and Yu, Gang and Shen, Chunhua}, title = {TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12083-12093} }

3DAC: Learning Attribute Compression for Point Clouds

Guangchi Fang,

Qingyong Hu,

Hanyun Wang,

Yiling Xu,

Yulan Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fang_2022_CVPR, author = {Fang, Guangchi and Hu, Qingyong and Wang, Hanyun and Xu, Yiling and Guo, Yulan}, title = {3DAC: Learning Attribute Compression for Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14819-14828} }

Learning a Structured Latent Space for Unsupervised Point Cloud Completion

Yingjie Cai,

Kwan-Yee Lin,

Chao Zhang,

Qiang Wang,

Xiaogang Wang,

Hongsheng Li

[pdf] [arXiv]

[bibtex]

@InProceedings{Cai_2022_CVPR, author = {Cai, Yingjie and Lin, Kwan-Yee and Zhang, Chao and Wang, Qiang and Wang, Xiaogang and Li, Hongsheng}, title = {Learning a Structured Latent Space for Unsupervised Point Cloud Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5543-5553} }

The Wanderings of Odysseus in 3D Scenes

Yan Zhang,

Siyu Tang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yan and Tang, Siyu}, title = {The Wanderings of Odysseus in 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20481-20491} }

Few-Shot Learning With Noisy Labels

Kevin J. Liang,

Samrudhdhi B. Rangrej,

Vladan Petrovic,

Tal Hassner

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liang_2022_CVPR, author = {Liang, Kevin J. and Rangrej, Samrudhdhi B. and Petrovic, Vladan and Hassner, Tal}, title = {Few-Shot Learning With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9089-9098} }

Understanding 3D Object Articulation in Internet Videos

Shengyi Qian,

Linyi Jin,

Chris Rockwell,

Siyi Chen,

David F. Fouhey

[pdf] [arXiv]

[bibtex]

@InProceedings{Qian_2022_CVPR, author = {Qian, Shengyi and Jin, Linyi and Rockwell, Chris and Chen, Siyi and Fouhey, David F.}, title = {Understanding 3D Object Articulation in Internet Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1599-1609} }

Multi-Level Representation Learning With Semantic Alignment for Referring Video Object Segmentation

Dongming Wu,

Xingping Dong,

Ling Shao,

Jianbing Shen

[pdf]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Dongming and Dong, Xingping and Shao, Ling and Shen, Jianbing}, title = {Multi-Level Representation Learning With Semantic Alignment for Referring Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4996-5005} }

Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention

Tong Yu,

Ruslan Khalitov,

Lei Cheng,

Zhirong Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Tong and Khalitov, Ruslan and Cheng, Lei and Yang, Zhirong}, title = {Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {691-700} }

Interactive Image Synthesis With Panoptic Layout Generation

Bo Wang,

Tao Wu,

Minfeng Zhu,

Peng Du

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Bo and Wu, Tao and Zhu, Minfeng and Du, Peng}, title = {Interactive Image Synthesis With Panoptic Layout Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7783-7792} }

Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving

Yi-Nan Chen,

Hang Dai,

Yong Ding

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Yi-Nan and Dai, Hang and Ding, Yong}, title = {Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {887-897} }

All-in-One Image Restoration for Unknown Corruption

Boyun Li,

Xiao Liu,

Peng Hu,

Zhongqin Wu,

Jiancheng Lv,

Xi Peng

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Boyun and Liu, Xiao and Hu, Peng and Wu, Zhongqin and Lv, Jiancheng and Peng, Xi}, title = {All-in-One Image Restoration for Unknown Corruption}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17452-17462} }

Syntax-Aware Network for Handwritten Mathematical Expression Recognition

Ye Yuan,

Xiao Liu,

Wondimu Dikubab,

Hui Liu,

Zhilong Ji,

Zhongqin Wu,

Xiang Bai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yuan_2022_CVPR, author = {Yuan, Ye and Liu, Xiao and Dikubab, Wondimu and Liu, Hui and Ji, Zhilong and Wu, Zhongqin and Bai, Xiang}, title = {Syntax-Aware Network for Handwritten Mathematical Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4553-4562} }

Sketching Without Worrying: Noise-Tolerant Sketch-Based Image Retrieval

Ayan Kumar Bhunia,

Subhadeep Koley,

Abdullah Faiz Ur Rahman Khilji,

Aneeshan Sain,

Pinaki Nath Chowdhury,

Tao Xiang,

Yi-Zhe Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bhunia_2022_CVPR, author = {Bhunia, Ayan Kumar and Koley, Subhadeep and Khilji, Abdullah Faiz Ur Rahman and Sain, Aneeshan and Chowdhury, Pinaki Nath and Xiang, Tao and Song, Yi-Zhe}, title = {Sketching Without Worrying: Noise-Tolerant Sketch-Based Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {999-1008} }

PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors

Jérome Revaud,

Vincent Leroy,

Philippe Weinzaepfel,

Boris Chidlovskii

[pdf] [supp]

[bibtex]

@InProceedings{Revaud_2022_CVPR, author = {Revaud, J\'erome and Leroy, Vincent and Weinzaepfel, Philippe and Chidlovskii, Boris}, title = {PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3926-3936} }

PlanarRecon: Real-Time 3D Plane Detection and Reconstruction From Posed Monocular Videos

Yiming Xie,

Matheus Gadelha,

Fengting Yang,

Xiaowei Zhou,

Huaizu Jiang

[pdf] [supp]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Yiming and Gadelha, Matheus and Yang, Fengting and Zhou, Xiaowei and Jiang, Huaizu}, title = {PlanarRecon: Real-Time 3D Plane Detection and Reconstruction From Posed Monocular Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6219-6228} }

Deep Equilibrium Optical Flow Estimation

Shaojie Bai,

Zhengyang Geng,

Yash Savani,

J. Zico Kolter

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bai_2022_CVPR, author = {Bai, Shaojie and Geng, Zhengyang and Savani, Yash and Kolter, J. Zico}, title = {Deep Equilibrium Optical Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {620-630} }

Optimizing Video Prediction via Video Frame Interpolation

Yue Wu,

Qiang Wen,

Qifeng Chen

[pdf]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Yue and Wen, Qiang and Chen, Qifeng}, title = {Optimizing Video Prediction via Video Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17814-17823} }

Motron: Multimodal Probabilistic Human Motion Forecasting

Tim Salzmann,

Marco Pavone,

Markus Ryll

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Salzmann_2022_CVPR, author = {Salzmann, Tim and Pavone, Marco and Ryll, Markus}, title = {Motron: Multimodal Probabilistic Human Motion Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6457-6466} }

Episodic Memory Question Answering

Samyak Datta,

Sameer Dharur,

Vincent Cartillier,

Ruta Desai,

Mukul Khanna,

Dhruv Batra,

Devi Parikh

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Datta_2022_CVPR, author = {Datta, Samyak and Dharur, Sameer and Cartillier, Vincent and Desai, Ruta and Khanna, Mukul and Batra, Dhruv and Parikh, Devi}, title = {Episodic Memory Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19119-19128} }

Continual Stereo Matching of Continuous Driving Scenes With Growing Architecture

Chenghao Zhang,

Kun Tian,

Bin Fan,

Gaofeng Meng,

Zhaoxiang Zhang,

Chunhong Pan

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Chenghao and Tian, Kun and Fan, Bin and Meng, Gaofeng and Zhang, Zhaoxiang and Pan, Chunhong}, title = {Continual Stereo Matching of Continuous Driving Scenes With Growing Architecture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18901-18910} }

Few-Shot Backdoor Defense Using Shapley Estimation

Jiyang Guan,

Zhuozhuo Tu,

Ran He,

Dacheng Tao

[pdf] [arXiv]

[bibtex]

@InProceedings{Guan_2022_CVPR, author = {Guan, Jiyang and Tu, Zhuozhuo and He, Ran and Tao, Dacheng}, title = {Few-Shot Backdoor Defense Using Shapley Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13358-13367} }

Cycle-Consistent Counterfactuals by Latent Transformations

Saeed Khorram,

Li Fuxin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Khorram_2022_CVPR, author = {Khorram, Saeed and Fuxin, Li}, title = {Cycle-Consistent Counterfactuals by Latent Transformations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10203-10212} }

ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation

Hanxiang Ren,

Yanchao Yang,

He Wang,

Bokui Shen,

Qingnan Fan,

Youyi Zheng,

C. Karen Liu,

Leonidas J. Guibas

[pdf] [supp]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Hanxiang and Yang, Yanchao and Wang, He and Shen, Bokui and Fan, Qingnan and Zheng, Youyi and Liu, C. Karen and Guibas, Leonidas J.}, title = {ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8079-8089} }

Joint Hand Motion and Interaction Hotspots Prediction From Egocentric Videos

Shaowei Liu,

Subarna Tripathi,

Somdeb Majumdar,

Xiaolong Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Shaowei and Tripathi, Subarna and Majumdar, Somdeb and Wang, Xiaolong}, title = {Joint Hand Motion and Interaction Hotspots Prediction From Egocentric Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3282-3292} }

Blind Face Restoration via Integrating Face Shape and Generative Priors

Feida Zhu,

Junwei Zhu,

Wenqing Chu,

Xinyi Zhang,

Xiaozhong Ji,

Chengjie Wang,

Ying Tai

[pdf] [supp]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Feida and Zhu, Junwei and Chu, Wenqing and Zhang, Xinyi and Ji, Xiaozhong and Wang, Chengjie and Tai, Ying}, title = {Blind Face Restoration via Integrating Face Shape and Generative Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7662-7671} }

MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video

Jinlu Zhang,

Zhigang Tu,

Jianyu Yang,

Yujin Chen,

Junsong Yuan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jinlu and Tu, Zhigang and Yang, Jianyu and Chen, Yujin and Yuan, Junsong}, title = {MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13232-13242} }

Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data

Rundong He,

Zhongyi Han,

Xiankai Lu,

Yilong Yin

[pdf] [supp]

[bibtex]

@InProceedings{He_2022_CVPR, author = {He, Rundong and Han, Zhongyi and Lu, Xiankai and Yin, Yilong}, title = {Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14585-14594} }

Learning To Zoom Inside Camera Imaging Pipeline

Chengzhou Tang,

Yuqiang Yang,

Bing Zeng,

Ping Tan,

Shuaicheng Liu

[pdf] [supp]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Chengzhou and Yang, Yuqiang and Zeng, Bing and Tan, Ping and Liu, Shuaicheng}, title = {Learning To Zoom Inside Camera Imaging Pipeline}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17552-17561} }

High-Fidelity GAN Inversion for Image Attribute Editing

Tengfei Wang,

Yong Zhang,

Yanbo Fan,

Jue Wang,

Qifeng Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Tengfei and Zhang, Yong and Fan, Yanbo and Wang, Jue and Chen, Qifeng}, title = {High-Fidelity GAN Inversion for Image Attribute Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11379-11388} }

RCP: Recurrent Closest Point for Point Cloud

Xiaodong Gu,

Chengzhou Tang,

Weihao Yuan,

Zuozhuo Dai,

Siyu Zhu,

Ping Tan

[pdf]

[bibtex]

@InProceedings{Gu_2022_CVPR, author = {Gu, Xiaodong and Tang, Chengzhou and Yuan, Weihao and Dai, Zuozhuo and Zhu, Siyu and Tan, Ping}, title = {RCP: Recurrent Closest Point for Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8216-8226} }

gDNA: Towards Generative Detailed Neural Avatars

Xu Chen,

Tianjian Jiang,

Jie Song,

Jinlong Yang,

Michael J. Black,

Andreas Geiger,

Otmar Hilliges

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Xu and Jiang, Tianjian and Song, Jie and Yang, Jinlong and Black, Michael J. and Geiger, Andreas and Hilliges, Otmar}, title = {gDNA: Towards Generative Detailed Neural Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20427-20437} }

A Dual Weighting Label Assignment Scheme for Object Detection

Shuai Li,

Chenhang He,

Ruihuang Li,

Lei Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Shuai and He, Chenhang and Li, Ruihuang and Zhang, Lei}, title = {A Dual Weighting Label Assignment Scheme for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9387-9396} }

FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks

Yuxi Wu,

Changhuai Chen,

Jun Che,

Shiliang Pu

[pdf] [supp]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Yuxi and Chen, Changhuai and Che, Jun and Pu, Shiliang}, title = {FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10307-10316} }

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

Aleksandr Ermolov,

Leyla Mirvakhabova,

Valentin Khrulkov,

Nicu Sebe,

Ivan Oseledets

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ermolov_2022_CVPR, author = {Ermolov, Aleksandr and Mirvakhabova, Leyla and Khrulkov, Valentin and Sebe, Nicu and Oseledets, Ivan}, title = {Hyperbolic Vision Transformers: Combining Improvements in Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7409-7419} }

MaskGIT: Masked Generative Image Transformer

Huiwen Chang,

Han Zhang,

Lu Jiang,

Ce Liu,

William T. Freeman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chang_2022_CVPR, author = {Chang, Huiwen and Zhang, Han and Jiang, Lu and Liu, Ce and Freeman, William T.}, title = {MaskGIT: Masked Generative Image Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11315-11325} }

Revisiting the "Video" in Video-Language Understanding

Shyamal Buch,

Cristóbal Eyzaguirre,

Adrien Gaidon,

Jiajun Wu,

Li Fei-Fei,

Juan Carlos Niebles

[pdf]

[bibtex]

@InProceedings{Buch_2022_CVPR, author = {Buch, Shyamal and Eyzaguirre, Crist\'obal and Gaidon, Adrien and Wu, Jiajun and Fei-Fei, Li and Niebles, Juan Carlos}, title = {Revisiting the ''Video'' in Video-Language Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2917-2927} }

Local Texture Estimator for Implicit Representation Function

Jaewon Lee,

Kyong Hwan Jin

[pdf] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Jaewon and Jin, Kyong Hwan}, title = {Local Texture Estimator for Implicit Representation Function}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1929-1938} }

Instance-Aware Dynamic Neural Network Quantization

Zhenhua Liu,

Yunhe Wang,

Kai Han,

Siwei Ma,

Wen Gao

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Zhenhua and Wang, Yunhe and Han, Kai and Ma, Siwei and Gao, Wen}, title = {Instance-Aware Dynamic Neural Network Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12434-12443} }

When To Prune? A Policy Towards Early Structural Pruning

Maying Shen,

Pavlo Molchanov,

Hongxu Yin,

Jose M. Alvarez

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shen_2022_CVPR, author = {Shen, Maying and Molchanov, Pavlo and Yin, Hongxu and Alvarez, Jose M.}, title = {When To Prune? A Policy Towards Early Structural Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12247-12256} }

COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval

Haoyu Lu,

Nanyi Fei,

Yuqi Huo,

Yizhao Gao,

Zhiwu Lu,

Ji-Rong Wen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lu_2022_CVPR, author = {Lu, Haoyu and Fei, Nanyi and Huo, Yuqi and Gao, Yizhao and Lu, Zhiwu and Wen, Ji-Rong}, title = {COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15692-15701} }

Degree-of-Linear-Polarization-Based Color Constancy

Taishi Ono,

Yuhi Kondo,

Legong Sun,

Teppei Kurita,

Yusuke Moriuchi

[pdf] [supp]

[bibtex]

@InProceedings{Ono_2022_CVPR, author = {Ono, Taishi and Kondo, Yuhi and Sun, Legong and Kurita, Teppei and Moriuchi, Yusuke}, title = {Degree-of-Linear-Polarization-Based Color Constancy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19740-19749} }

A Voxel Graph CNN for Object Classification With Event Cameras

Yongjian Deng,

Hao Chen,

Hai Liu,

Youfu Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Deng_2022_CVPR, author = {Deng, Yongjian and Chen, Hao and Liu, Hai and Li, Youfu}, title = {A Voxel Graph CNN for Object Classification With Event Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1172-1181} }

On the Importance of Asymmetry for Siamese Representation Learning

Xiao Wang,

Haoqi Fan,

Yuandong Tian,

Daisuke Kihara,

Xinlei Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Xiao and Fan, Haoqi and Tian, Yuandong and Kihara, Daisuke and Chen, Xinlei}, title = {On the Importance of Asymmetry for Siamese Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16570-16579} }

Probing Representation Forgetting in Supervised and Unsupervised Continual Learning

MohammadReza Davari,

Nader Asadi,

Sudhir Mudur,

Rahaf Aljundi,

Eugene Belilovsky

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Davari_2022_CVPR, author = {Davari, MohammadReza and Asadi, Nader and Mudur, Sudhir and Aljundi, Rahaf and Belilovsky, Eugene}, title = {Probing Representation Forgetting in Supervised and Unsupervised Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16712-16721} }

ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

Mengjun Cheng,

Yipeng Sun,

Longchao Wang,

Xiongwei Zhu,

Kun Yao,

Jie Chen,

Guoli Song,

Junyu Han,

Jingtuo Liu,

Errui Ding,

Jingdong Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Cheng_2022_CVPR, author = {Cheng, Mengjun and Sun, Yipeng and Wang, Longchao and Zhu, Xiongwei and Yao, Kun and Chen, Jie and Song, Guoli and Han, Junyu and Liu, Jingtuo and Ding, Errui and Wang, Jingdong}, title = {ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5184-5193} }

DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting

Yongming Rao,

Wenliang Zhao,

Guangyi Chen,

Yansong Tang,

Zheng Zhu,

Guan Huang,

Jie Zhou,

Jiwen Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rao_2022_CVPR, author = {Rao, Yongming and Zhao, Wenliang and Chen, Guangyi and Tang, Yansong and Zhu, Zheng and Huang, Guan and Zhou, Jie and Lu, Jiwen}, title = {DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18082-18091} }

Exploring Effective Data for Surrogate Training Towards Black-Box Attack

Xuxiang Sun,

Gong Cheng,

Hongda Li,

Lei Pei,

Junwei Han

[pdf] [supp]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Xuxiang and Cheng, Gong and Li, Hongda and Pei, Lei and Han, Junwei}, title = {Exploring Effective Data for Surrogate Training Towards Black-Box Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15355-15364} }

JRDB-Act: A Large-Scale Dataset for Spatio-Temporal Action, Social Group and Activity Detection

Mahsa Ehsanpour,

Fatemeh Saleh,

Silvio Savarese,

Ian Reid,

Hamid Rezatofighi

[pdf] [supp]

[bibtex]

@InProceedings{Ehsanpour_2022_CVPR, author = {Ehsanpour, Mahsa and Saleh, Fatemeh and Savarese, Silvio and Reid, Ian and Rezatofighi, Hamid}, title = {JRDB-Act: A Large-Scale Dataset for Spatio-Temporal Action, Social Group and Activity Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20983-20992} }

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects From Natural Images With Aperture Rendering Neural Radiance Fields

Takuhiro Kaneko

[pdf] [supp]

[bibtex]

@InProceedings{Kaneko_2022_CVPR, author = {Kaneko, Takuhiro}, title = {AR-NeRF: Unsupervised Learning of Depth and Defocus Effects From Natural Images With Aperture Rendering Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18387-18397} }

Likert Scoring With Grade Decoupling for Long-Term Action Assessment

Angchi Xu,

Ling-An Zeng,

Wei-Shi Zheng

[pdf] [supp]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Angchi and Zeng, Ling-An and Zheng, Wei-Shi}, title = {Likert Scoring With Grade Decoupling for Long-Term Action Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3232-3241} }

Many-to-Many Splatting for Efficient Video Frame Interpolation

Ping Hu,

Simon Niklaus,

Stan Sclaroff,

Kate Saenko

[pdf] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Ping and Niklaus, Simon and Sclaroff, Stan and Saenko, Kate}, title = {Many-to-Many Splatting for Efficient Video Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3553-3562} }

Investigating Top-k White-Box and Transferable Black-Box Attack

Chaoning Zhang,

Philipp Benz,

Adil Karjauv,

Jae Won Cho,

Kang Zhang,

In So Kweon

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Chaoning and Benz, Philipp and Karjauv, Adil and Cho, Jae Won and Zhang, Kang and Kweon, In So}, title = {Investigating Top-k White-Box and Transferable Black-Box Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15085-15094} }

Decoupling and Recoupling Spatiotemporal Representation for RGB-D-Based Motion Recognition

Benjia Zhou,

Pichao Wang,

Jun Wan,

Yanyan Liang,

Fan Wang,

Du Zhang,

Zhen Lei,

Hao Li,

Rong Jin

[pdf] [supp]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Benjia and Wang, Pichao and Wan, Jun and Liang, Yanyan and Wang, Fan and Zhang, Du and Lei, Zhen and Li, Hao and Jin, Rong}, title = {Decoupling and Recoupling Spatiotemporal Representation for RGB-D-Based Motion Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20154-20163} }

Learning To Learn by Jointly Optimizing Neural Architecture and Weights

Yadong Ding,

Yu Wu,

Chengyue Huang,

Siliang Tang,

Yi Yang,

Longhui Wei,

Yueting Zhuang,

Qi Tian

[pdf] [supp]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Yadong and Wu, Yu and Huang, Chengyue and Tang, Siliang and Yang, Yi and Wei, Longhui and Zhuang, Yueting and Tian, Qi}, title = {Learning To Learn by Jointly Optimizing Neural Architecture and Weights}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {129-138} }

Attributable Visual Similarity Learning

Borui Zhang,

Wenzhao Zheng,

Jie Zhou,

Jiwen Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Borui and Zheng, Wenzhao and Zhou, Jie and Lu, Jiwen}, title = {Attributable Visual Similarity Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7532-7541} }

A Self-Supervised Descriptor for Image Copy Detection

Ed Pizzi,

Sreya Dutta Roy,

Sugosh Nagavara Ravindra,

Priya Goyal,

Matthijs Douze

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pizzi_2022_CVPR, author = {Pizzi, Ed and Roy, Sreya Dutta and Ravindra, Sugosh Nagavara and Goyal, Priya and Douze, Matthijs}, title = {A Self-Supervised Descriptor for Image Copy Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14532-14542} }

DyTox: Transformers for Continual Learning With DYnamic TOken eXpansion

Arthur Douillard,

Alexandre Ramé,

Guillaume Couairon,

Matthieu Cord

[pdf] [supp]

[bibtex]

@InProceedings{Douillard_2022_CVPR, author = {Douillard, Arthur and Ram\'e, Alexandre and Couairon, Guillaume and Cord, Matthieu}, title = {DyTox: Transformers for Continual Learning With DYnamic TOken eXpansion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9285-9295} }

Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective

Yuejiang Liu,

Riccardo Cadei,

Jonas Schweizer,

Sherwin Bahmani,

Alexandre Alahi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yuejiang and Cadei, Riccardo and Schweizer, Jonas and Bahmani, Sherwin and Alahi, Alexandre}, title = {Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17081-17092} }

Manifold Learning Benefits GANs

Yao Ni,

Piotr Koniusz,

Richard Hartley,

Richard Nock

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ni_2022_CVPR, author = {Ni, Yao and Koniusz, Piotr and Hartley, Richard and Nock, Richard}, title = {Manifold Learning Benefits GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11265-11274} }

A Keypoint-Based Global Association Network for Lane Detection

Jinsheng Wang,

Yinchao Ma,

Shaofei Huang,

Tianrui Hui,

Fei Wang,

Chen Qian,

Tianzhu Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jinsheng and Ma, Yinchao and Huang, Shaofei and Hui, Tianrui and Wang, Fei and Qian, Chen and Zhang, Tianzhu}, title = {A Keypoint-Based Global Association Network for Lane Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1392-1401} }

Negative-Aware Attention Framework for Image-Text Matching

Kun Zhang,

Zhendong Mao,

Quan Wang,

Yongdong Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Kun and Mao, Zhendong and Wang, Quan and Zhang, Yongdong}, title = {Negative-Aware Attention Framework for Image-Text Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15661-15670} }

Semantic-Aligned Fusion Transformer for One-Shot Object Detection

Yizhou Zhao,

Xun Guo,

Yan Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Yizhou and Guo, Xun and Lu, Yan}, title = {Semantic-Aligned Fusion Transformer for One-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7601-7611} }

Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning

Matthew Gwilliam,

Abhinav Shrivastava

[pdf] [supp]

[bibtex]

@InProceedings{Gwilliam_2022_CVPR, author = {Gwilliam, Matthew and Shrivastava, Abhinav}, title = {Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9642-9652} }

Few-Shot Incremental Learning for Label-to-Image Translation

Pei Chen,

Yangkang Zhang,

Zejian Li,

Lingyun Sun

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Pei and Zhang, Yangkang and Li, Zejian and Sun, Lingyun}, title = {Few-Shot Incremental Learning for Label-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3697-3707} }

Discrete Time Convolution for Fast Event-Based Stereo

Kaixuan Zhang,

Kaiwei Che,

Jianguo Zhang,

Jie Cheng,

Ziyang Zhang,

Qinghai Guo,

Luziwei Leng

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Kaixuan and Che, Kaiwei and Zhang, Jianguo and Cheng, Jie and Zhang, Ziyang and Guo, Qinghai and Leng, Luziwei}, title = {Discrete Time Convolution for Fast Event-Based Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8676-8686} }

An Image Patch Is a Wave: Phase-Aware Vision MLP

Yehui Tang,

Kai Han,

Jianyuan Guo,

Chang Xu,

Yanxi Li,

Chao Xu,

Yunhe Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Yehui and Han, Kai and Guo, Jianyuan and Xu, Chang and Li, Yanxi and Xu, Chao and Wang, Yunhe}, title = {An Image Patch Is a Wave: Phase-Aware Vision MLP}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10935-10944} }

Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination

Yiqun Mei,

Pengfei Guo,

Vishal M. Patel

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mei_2022_CVPR, author = {Mei, Yiqun and Guo, Pengfei and Patel, Vishal M.}, title = {Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18676-18686} }

Visual Acoustic Matching

Changan Chen,

Ruohan Gao,

Paul Calamia,

Kristen Grauman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Changan and Gao, Ruohan and Calamia, Paul and Grauman, Kristen}, title = {Visual Acoustic Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18858-18868} }

Shunted Self-Attention via Multi-Scale Token Aggregation

Sucheng Ren,

Daquan Zhou,

Shengfeng He,

Jiashi Feng,

Xinchao Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Sucheng and Zhou, Daquan and He, Shengfeng and Feng, Jiashi and Wang, Xinchao}, title = {Shunted Self-Attention via Multi-Scale Token Aggregation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10853-10862} }

Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon

Yiqi Zhong,

Xianming Liu,

Deming Zhai,

Junjun Jiang,

Xiangyang Ji

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhong_2022_CVPR, author = {Zhong, Yiqi and Liu, Xianming and Zhai, Deming and Jiang, Junjun and Ji, Xiangyang}, title = {Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15345-15354} }

ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging

Jiancheng Yang,

Udaranga Wickramasinghe,

Bingbing Ni,

Pascal Fua

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Jiancheng and Wickramasinghe, Udaranga and Ni, Bingbing and Fua, Pascal}, title = {ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15861-15871} }

Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression

Xiaosu Zhu,

Jingkuan Song,

Lianli Gao,

Feng Zheng,

Heng Tao Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Xiaosu and Song, Jingkuan and Gao, Lianli and Zheng, Feng and Shen, Heng Tao}, title = {Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17612-17621} }

3D Photo Stylization: Learning To Generate Stylized Novel Views From a Single Image

Fangzhou Mu,

Jian Wang,

Yicheng Wu,

Yin Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mu_2022_CVPR, author = {Mu, Fangzhou and Wang, Jian and Wu, Yicheng and Li, Yin}, title = {3D Photo Stylization: Learning To Generate Stylized Novel Views From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16273-16282} }

Improving Visual Grounding With Visual-Linguistic Verification and Iterative Reasoning

Li Yang,

Yan Xu,

Chunfeng Yuan,

Wei Liu,

Bing Li,

Weiming Hu

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Li and Xu, Yan and Yuan, Chunfeng and Liu, Wei and Li, Bing and Hu, Weiming}, title = {Improving Visual Grounding With Visual-Linguistic Verification and Iterative Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9499-9508} }

Contrastive Learning for Space-Time Correspondence via Self-Cycle Consistency

Jeany Son

[pdf]

[bibtex]

@InProceedings{Son_2022_CVPR, author = {Son, Jeany}, title = {Contrastive Learning for Space-Time Correspondence via Self-Cycle Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14679-14688} }

Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion

Yuqi Sun,

Shili Zhou,

Ri Cheng,

Weimin Tan,

Bo Yan,

Lang Fu

[pdf] [supp]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Yuqi and Zhou, Shili and Cheng, Ri and Tan, Weimin and Yan, Bo and Fu, Lang}, title = {Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7813-7823} }

Scale-Equivalent Distillation for Semi-Supervised Object Detection

Qiushan Guo,

Yao Mu,

Jianyu Chen,

Tianqi Wang,

Yizhou Yu,

Ping Luo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Qiushan and Mu, Yao and Chen, Jianyu and Wang, Tianqi and Yu, Yizhou and Luo, Ping}, title = {Scale-Equivalent Distillation for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14522-14531} }

Recurrent Variational Network: A Deep Learning Inverse Problem Solver Applied to the Task of Accelerated MRI Reconstruction

George Yiasemis,

Jan-Jakob Sonke,

Clarisa Sánchez,

Jonas Teuwen

[pdf] [supp]

[bibtex]

@InProceedings{Yiasemis_2022_CVPR, author = {Yiasemis, George and Sonke, Jan-Jakob and S\'anchez, Clarisa and Teuwen, Jonas}, title = {Recurrent Variational Network: A Deep Learning Inverse Problem Solver Applied to the Task of Accelerated MRI Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {732-741} }

SelfD: Self-Learning Large-Scale Driving Policies From the Web

Jimuyang Zhang,

Ruizhao Zhu,

Eshed Ohn-Bar

[pdf]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jimuyang and Zhu, Ruizhao and Ohn-Bar, Eshed}, title = {SelfD: Self-Learning Large-Scale Driving Policies From the Web}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17316-17326} }

"The Pedestrian Next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping

Avishkar Saha,

Oscar Mendez,

Chris Russell,

Richard Bowden

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Saha_2022_CVPR, author = {Saha, Avishkar and Mendez, Oscar and Russell, Chris and Bowden, Richard}, title = {''The Pedestrian Next to the Lamppost'' Adaptive Object Graphs for Better Instantaneous Mapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19528-19537} }

Attribute Group Editing for Reliable Few-Shot Image Generation

Guanqi Ding,

Xinzhe Han,

Shuhui Wang,

Shuzhe Wu,

Xin Jin,

Dandan Tu,

Qingming Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ding_2022_CVPR, author = {Ding, Guanqi and Han, Xinzhe and Wang, Shuhui and Wu, Shuzhe and Jin, Xin and Tu, Dandan and Huang, Qingming}, title = {Attribute Group Editing for Reliable Few-Shot Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11194-11203} }

Surpassing the Human Accuracy: Detecting Gallbladder Cancer From USG Images With Curriculum Learning

Soumen Basu,

Mayank Gupta,

Pratyaksha Rana,

Pankaj Gupta,

Chetan Arora

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Basu_2022_CVPR, author = {Basu, Soumen and Gupta, Mayank and Rana, Pratyaksha and Gupta, Pankaj and Arora, Chetan}, title = {Surpassing the Human Accuracy: Detecting Gallbladder Cancer From USG Images With Curriculum Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20886-20896} }

CroMo: Cross-Modal Learning for Monocular Depth Estimation

Yannick Verdié,

Jifei Song,

Barnabé Mas,

Benjamin Busam,

Ales̆ Leonardis,

Steven McDonagh

[pdf] [supp]

[bibtex]

@InProceedings{Verdie_2022_CVPR, author = {Verdi\'e, Yannick and Song, Jifei and Mas, Barnab\'e and Busam, Benjamin and Leonardis, Ales̆ and McDonagh, Steven}, title = {CroMo: Cross-Modal Learning for Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3937-3947} }

Self-Supervised Object Detection From Audio-Visual Correspondence

Triantafyllos Afouras,

Yuki M. Asano,

Francois Fagan,

Andrea Vedaldi,

Florian Metze

[pdf] [arXiv]

[bibtex]

@InProceedings{Afouras_2022_CVPR, author = {Afouras, Triantafyllos and Asano, Yuki M. and Fagan, Francois and Vedaldi, Andrea and Metze, Florian}, title = {Self-Supervised Object Detection From Audio-Visual Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10575-10586} }

Autofocus for Event Cameras

Shijie Lin,

Yinqiang Zhang,

Lei Yu,

Bin Zhou,

Xiaowei Luo,

Jia Pan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Shijie and Zhang, Yinqiang and Yu, Lei and Zhou, Bin and Luo, Xiaowei and Pan, Jia}, title = {Autofocus for Event Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16344-16353} }

Learning Multiple Adverse Weather Removal via Two-Stage Knowledge Learning and Multi-Contrastive Regularization: Toward a Unified Model

Wei-Ting Chen,

Zhi-Kai Huang,

Cheng-Che Tsai,

Hao-Hsiang Yang,

Jian-Jiun Ding,

Sy-Yen Kuo

[pdf]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Wei-Ting and Huang, Zhi-Kai and Tsai, Cheng-Che and Yang, Hao-Hsiang and Ding, Jian-Jiun and Kuo, Sy-Yen}, title = {Learning Multiple Adverse Weather Removal via Two-Stage Knowledge Learning and Multi-Contrastive Regularization: Toward a Unified Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17653-17662} }

Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps

Seung Wook Kim,

Karsten Kreis,

Daiqing Li,

Antonio Torralba,

Sanja Fidler

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Seung Wook and Kreis, Karsten and Li, Daiqing and Torralba, Antonio and Fidler, Sanja}, title = {Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10630-10640} }

Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond

Qibing Ren,

Qingquan Bao,

Runzhong Wang,

Junchi Yan

[pdf] [supp]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Qibing and Bao, Qingquan and Wang, Runzhong and Yan, Junchi}, title = {Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15263-15272} }

Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of SO(3)

Marc Alexa

[pdf] [supp]

[bibtex]

@InProceedings{Alexa_2022_CVPR, author = {Alexa, Marc}, title = {Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of SO(3)}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8291-8300} }

TrackFormer: Multi-Object Tracking With Transformers

Tim Meinhardt,

Alexander Kirillov,

Laura Leal-Taixé,

Christoph Feichtenhofer

[pdf] [supp]

[bibtex]

@InProceedings{Meinhardt_2022_CVPR, author = {Meinhardt, Tim and Kirillov, Alexander and Leal-Taix\'e, Laura and Feichtenhofer, Christoph}, title = {TrackFormer: Multi-Object Tracking With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8844-8854} }

L-Verse: Bidirectional Generation Between Image and Text

Taehoon Kim,

Gwangmo Song,

Sihaeng Lee,

Sangyun Kim,

Yewon Seo,

Soonyoung Lee,

Seung Hwan Kim,

Honglak Lee,

Kyunghoon Bae

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Taehoon and Song, Gwangmo and Lee, Sihaeng and Kim, Sangyun and Seo, Yewon and Lee, Soonyoung and Kim, Seung Hwan and Lee, Honglak and Bae, Kyunghoon}, title = {L-Verse: Bidirectional Generation Between Image and Text}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16526-16536} }

PanopticDepth: A Unified Framework for Depth-Aware Panoptic Segmentation

Naiyu Gao,

Fei He,

Jian Jia,

Yanhu Shan,

Haoyang Zhang,

Xin Zhao,

Kaiqi Huang

[pdf] [arXiv]

[bibtex]

@InProceedings{Gao_2022_CVPR, author = {Gao, Naiyu and He, Fei and Jia, Jian and Shan, Yanhu and Zhang, Haoyang and Zhao, Xin and Huang, Kaiqi}, title = {PanopticDepth: A Unified Framework for Depth-Aware Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1632-1642} }

3D Shape Reconstruction From 2D Images With Disentangled Attribute Flow

Xin Wen,

Junsheng Zhou,

Yu-Shen Liu,

Hua Su,

Zhen Dong,

Zhizhong Han

[pdf] [arXiv]

[bibtex]

@InProceedings{Wen_2022_CVPR, author = {Wen, Xin and Zhou, Junsheng and Liu, Yu-Shen and Su, Hua and Dong, Zhen and Han, Zhizhong}, title = {3D Shape Reconstruction From 2D Images With Disentangled Attribute Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3803-3813} }

Feature Statistics Mixing Regularization for Generative Adversarial Networks

Junho Kim,

Yunjey Choi,

Youngjung Uh

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Junho and Choi, Yunjey and Uh, Youngjung}, title = {Feature Statistics Mixing Regularization for Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11294-11303} }

Learning To Learn and Remember Super Long Multi-Domain Task Sequence

Zhenyi Wang,

Li Shen,

Tiehang Duan,

Donglin Zhan,

Le Fang,

Mingchen Gao

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhenyi and Shen, Li and Duan, Tiehang and Zhan, Donglin and Fang, Le and Gao, Mingchen}, title = {Learning To Learn and Remember Super Long Multi-Domain Task Sequence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7982-7992} }

OpenTAL: Towards Open Set Temporal Action Localization

Wentao Bao,

Qi Yu,

Yu Kong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bao_2022_CVPR, author = {Bao, Wentao and Yu, Qi and Kong, Yu}, title = {OpenTAL: Towards Open Set Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2979-2989} }

Urban Radiance Fields

Konstantinos Rematas,

Andrew Liu,

Pratul P. Srinivasan,

Jonathan T. Barron,

Andrea Tagliasacchi,

Thomas Funkhouser,

Vittorio Ferrari

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rematas_2022_CVPR, author = {Rematas, Konstantinos and Liu, Andrew and Srinivasan, Pratul P. and Barron, Jonathan T. and Tagliasacchi, Andrea and Funkhouser, Thomas and Ferrari, Vittorio}, title = {Urban Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12932-12942} }

Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Liang Chen,

Yong Zhang,

Yibing Song,

Lingqiao Liu,

Jue Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Liang and Zhang, Yong and Song, Yibing and Liu, Lingqiao and Wang, Jue}, title = {Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18710-18719} }

Domain-Agnostic Prior for Transfer Semantic Segmentation

Xinyue Huo,

Lingxi Xie,

Hengtong Hu,

Wengang Zhou,

Houqiang Li,

Qi Tian

[pdf] [arXiv]

[bibtex]

@InProceedings{Huo_2022_CVPR, author = {Huo, Xinyue and Xie, Lingxi and Hu, Hengtong and Zhou, Wengang and Li, Houqiang and Tian, Qi}, title = {Domain-Agnostic Prior for Transfer Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7075-7085} }

Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning

Arnav Chavan,

Rishabh Tiwari,

Udbhav Bamba,

Deepak K. Gupta

[pdf] [supp]

[bibtex]

@InProceedings{Chavan_2022_CVPR, author = {Chavan, Arnav and Tiwari, Rishabh and Bamba, Udbhav and Gupta, Deepak K.}, title = {Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9851-9860} }

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Kristen Grauman,

Andrew Westbury,

Eugene Byrne,

Zachary Chavis,

Antonino Furnari,

Rohit Girdhar,

Jackson Hamburger,

Hao Jiang,

Miao Liu,

Xingyu Liu,

Miguel Martin,

Tushar Nagarajan,

Ilija Radosavovic,

Santhosh Kumar Ramakrishnan,

Fiona Ryan,

Jayant Sharma,

Michael Wray,

Mengmeng Xu,

Eric Zhongcong Xu,

Chen Zhao,

Siddhant Bansal,

Dhruv Batra,

Vincent Cartillier,

Sean Crane,

Tien Do,

Morrie Doulaty,

Akshay Erapalli,

Christoph Feichtenhofer,

Adriano Fragomeni,

Qichen Fu,

Abrham Gebreselasie,

Cristina González,

James Hillis,

Xuhua Huang,

Yifei Huang,

Wenqi Jia,

Weslie Khoo,

Jáchym Kolář,

Satwik Kottur,

Anurag Kumar,

Federico Landini,

Chao Li,

Yanghao Li,

Zhenqiang Li,

Karttikeya Mangalam,

Raghava Modhugu,

Jonathan Munro,

Tullie Murrell,

Takumi Nishiyasu,

Will Price,

Paola Ruiz,

Merey Ramazanova,

Leda Sari,

Kiran Somasundaram,

Audrey Southerland,

Yusuke Sugano,

Ruijie Tao,

Minh Vo,

Yuchen Wang,

Xindi Wu,

Takuma Yagi,

Ziwei Zhao,

Yunyi Zhu,

Pablo Arbeláez,

David Crandall,

Dima Damen,

Giovanni Maria Farinella,

Christian Fuegen,

Bernard Ghanem,

Vamsi Krishna Ithapu,

C. V. Jawahar,

Hanbyul Joo,

Kris Kitani,

Haizhou Li,

Richard Newcombe,

Aude Oliva,

Hyun Soo Park,

James M. Rehg,

Yoichi Sato,

Jianbo Shi,

Mike Zheng Shou,

Antonio Torralba,

Lorenzo Torresani,

Mingfei Yan,

Jitendra Malik

[pdf] [supp]

[bibtex]

@InProceedings{Grauman_2022_CVPR, author = {Grauman, Kristen and Westbury, Andrew and Byrne, Eugene and Chavis, Zachary and Furnari, Antonino and Girdhar, Rohit and Hamburger, Jackson and Jiang, Hao and Liu, Miao and Liu, Xingyu and Martin, Miguel and Nagarajan, Tushar and Radosavovic, Ilija and Ramakrishnan, Santhosh Kumar and Ryan, Fiona and Sharma, Jayant and Wray, Michael and Xu, Mengmeng and Xu, Eric Zhongcong and Zhao, Chen and Bansal, Siddhant and Batra, Dhruv and Cartillier, Vincent and Crane, Sean and Do, Tien and Doulaty, Morrie and Erapalli, Akshay and Feichtenhofer, Christoph and Fragomeni, Adriano and Fu, Qichen and Gebreselasie, Abrham and Gonz\'alez, Cristina and Hillis, James and Huang, Xuhua and Huang, Yifei and Jia, Wenqi and Khoo, Weslie and Kol\'a\v{r}, J\'achym and Kottur, Satwik and Kumar, Anurag and Landini, Federico and Li, Chao and Li, Yanghao and Li, Zhenqiang and Mangalam, Karttikeya and Modhugu, Raghava and Munro, Jonathan and Murrell, Tullie and Nishiyasu, Takumi and Price, Will and Ruiz, Paola and Ramazanova, Merey and Sari, Leda and Somasundaram, Kiran and Southerland, Audrey and Sugano, Yusuke and Tao, Ruijie and Vo, Minh and Wang, Yuchen and Wu, Xindi and Yagi, Takuma and Zhao, Ziwei and Zhu, Yunyi and Arbel\'aez, Pablo and Crandall, David and Damen, Dima and Farinella, Giovanni Maria and Fuegen, Christian and Ghanem, Bernard and Ithapu, Vamsi Krishna and Jawahar, C. V. and Joo, Hanbyul and Kitani, Kris and Li, Haizhou and Newcombe, Richard and Oliva, Aude and Park, Hyun Soo and Rehg, James M. and Sato, Yoichi and Shi, Jianbo and Shou, Mike Zheng and Torralba, Antonio and Torresani, Lorenzo and Yan, Mingfei and Malik, Jitendra}, title = {Ego4D: Around the World in 3,000 Hours of Egocentric Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18995-19012} }

Differentially Private Federated Learning With Local Regularization and Sparsification

Anda Cheng,

Peisong Wang,

Xi Sheryl Zhang,

Jian Cheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cheng_2022_CVPR, author = {Cheng, Anda and Wang, Peisong and Zhang, Xi Sheryl and Cheng, Jian}, title = {Differentially Private Federated Learning With Local Regularization and Sparsification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10122-10131} }

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Yucheng Tang,

Dong Yang,

Wenqi Li,

Holger R. Roth,

Bennett Landman,

Daguang Xu,

Vishwesh Nath,

Ali Hatamizadeh

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Yucheng and Yang, Dong and Li, Wenqi and Roth, Holger R. and Landman, Bennett and Xu, Daguang and Nath, Vishwesh and Hatamizadeh, Ali}, title = {Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20730-20740} }

Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification

Chao Wu,

Wenhang Ge,

Ancong Wu,

Xiaobin Chang

[pdf] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Chao and Ge, Wenhang and Wu, Ancong and Chang, Xiaobin}, title = {Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20238-20248} }

Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data

Jungbeom Lee,

Seong Joon Oh,

Sangdoo Yun,

Junsuk Choe,

Eunji Kim,

Sungroh Yoon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Jungbeom and Oh, Seong Joon and Yun, Sangdoo and Choe, Junsuk and Kim, Eunji and Yoon, Sungroh}, title = {Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16897-16906} }

Point-Level Region Contrast for Object Detection Pre-Training

Yutong Bai,

Xinlei Chen,

Alexander Kirillov,

Alan Yuille,

Alexander C. Berg

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bai_2022_CVPR, author = {Bai, Yutong and Chen, Xinlei and Kirillov, Alexander and Yuille, Alan and Berg, Alexander C.}, title = {Point-Level Region Contrast for Object Detection Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16061-16070} }

Upright-Net: Learning Upright Orientation for 3D Point Cloud

Xufang Pang,

Feng Li,

Ning Ding,

Xiaopin Zhong

[pdf]

[bibtex]

@InProceedings{Pang_2022_CVPR, author = {Pang, Xufang and Li, Feng and Ding, Ning and Zhong, Xiaopin}, title = {Upright-Net: Learning Upright Orientation for 3D Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14911-14919} }

Learning Semantic Associations for Mirror Detection

Huankang Guan,

Jiaying Lin,

Rynson W.H. Lau

[pdf]

[bibtex]

@InProceedings{Guan_2022_CVPR, author = {Guan, Huankang and Lin, Jiaying and Lau, Rynson W.H.}, title = {Learning Semantic Associations for Mirror Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5941-5950} }

Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation

Shuying Liu,

Wenbin Wu,

Jiaxian Wu,

Yue Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Shuying and Wu, Wenbin and Wu, Jiaxian and Lin, Yue}, title = {Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20523-20532} }

Failure Modes of Domain Generalization Algorithms

Tigran Galstyan,

Hrayr Harutyunyan,

Hrant Khachatrian,

Greg Ver Steeg,

Aram Galstyan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Galstyan_2022_CVPR, author = {Galstyan, Tigran and Harutyunyan, Hrayr and Khachatrian, Hrant and Steeg, Greg Ver and Galstyan, Aram}, title = {Failure Modes of Domain Generalization Algorithms}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19077-19086} }

Geometric and Textural Augmentation for Domain Gap Reduction

Xiao-Chang Liu,

Yong-Liang Yang,

Peter Hall

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Xiao-Chang and Yang, Yong-Liang and Hall, Peter}, title = {Geometric and Textural Augmentation for Domain Gap Reduction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14340-14350} }

Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation

Minh Hieu Phan,

The-Anh Ta,

Son Lam Phung,

Long Tran-Thanh,

Abdesselam Bouzerdoum

[pdf]

[bibtex]

@InProceedings{Phan_2022_CVPR, author = {Phan, Minh Hieu and Ta, The-Anh and Phung, Son Lam and Tran-Thanh, Long and Bouzerdoum, Abdesselam}, title = {Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16866-16875} }

DAD-3DHeads: A Large-Scale Dense, Accurate and Diverse Dataset for 3D Head Alignment From a Single Image

Tetiana Martyniuk,

Orest Kupyn,

Yana Kurlyak,

Igor Krashenyi,

Jiří Matas,

Viktoriia Sharmanska

[pdf] [supp]

[bibtex]

@InProceedings{Martyniuk_2022_CVPR, author = {Martyniuk, Tetiana and Kupyn, Orest and Kurlyak, Yana and Krashenyi, Igor and Matas, Ji\v{r}{\'\i} and Sharmanska, Viktoriia}, title = {DAD-3DHeads: A Large-Scale Dense, Accurate and Diverse Dataset for 3D Head Alignment From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20942-20952} }

Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors

Baorui Ma,

Yu-Shen Liu,

Zhizhong Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Baorui and Liu, Yu-Shen and Han, Zhizhong}, title = {Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6315-6325} }

HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization

Mengtian Li,

Yuan Xie,

Yunhang Shen,

Bo Ke,

Ruizhi Qiao,

Bo Ren,

Shaohui Lin,

Lizhuang Ma

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Mengtian and Xie, Yuan and Shen, Yunhang and Ke, Bo and Qiao, Ruizhi and Ren, Bo and Lin, Shaohui and Ma, Lizhuang}, title = {HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14930-14939} }

Fine-Tuning Image Transformers Using Learnable Memory

Mark Sandler,

Andrey Zhmoginov,

Max Vladymyrov,

Andrew Jackson

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sandler_2022_CVPR, author = {Sandler, Mark and Zhmoginov, Andrey and Vladymyrov, Max and Jackson, Andrew}, title = {Fine-Tuning Image Transformers Using Learnable Memory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12155-12164} }

Contrastive Conditional Neural Processes

Zesheng Ye,

Lina Yao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Zesheng and Yao, Lina}, title = {Contrastive Conditional Neural Processes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9687-9696} }

vCLIMB: A Novel Video Class Incremental Learning Benchmark

Andrés Villa,

Kumail Alhamoud,

Victor Escorcia,

Fabian Caba,

Juan León Alcázar,

Bernard Ghanem

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Villa_2022_CVPR, author = {Villa, Andr\'es and Alhamoud, Kumail and Escorcia, Victor and Caba, Fabian and Alc\'azar, Juan Le\'on and Ghanem, Bernard}, title = {vCLIMB: A Novel Video Class Incremental Learning Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19035-19044} }

Bending Reality: Distortion-Aware Transformers for Adapting to Panoramic Semantic Segmentation

Jiaming Zhang,

Kailun Yang,

Chaoxiang Ma,

Simon Reiß,

Kunyu Peng,

Rainer Stiefelhagen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jiaming and Yang, Kailun and Ma, Chaoxiang and Rei{\ss}, Simon and Peng, Kunyu and Stiefelhagen, Rainer}, title = {Bending Reality: Distortion-Aware Transformers for Adapting to Panoramic Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16917-16927} }

Sparse and Complete Latent Organization for Geospatial Semantic Segmentation

Fengyu Yang,

Chenyang Ma

[pdf]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Fengyu and Ma, Chenyang}, title = {Sparse and Complete Latent Organization for Geospatial Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1809-1818} }

Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements

Dongdong Chen,

Julián Tachella,

Mike E. Davies

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Dongdong and Tachella, Juli\'an and Davies, Mike E.}, title = {Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5647-5656} }

Not All Relations Are Equal: Mining Informative Labels for Scene Graph Generation

Arushi Goel,

Basura Fernando,

Frank Keller,

Hakan Bilen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Goel_2022_CVPR, author = {Goel, Arushi and Fernando, Basura and Keller, Frank and Bilen, Hakan}, title = {Not All Relations Are Equal: Mining Informative Labels for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15596-15606} }

Learning To Detect Scene Landmarks for Camera Localization

Tien Do,

Ondrej Miksik,

Joseph DeGol,

Hyun Soo Park,

Sudipta N. Sinha

[pdf]

[bibtex]

@InProceedings{Do_2022_CVPR, author = {Do, Tien and Miksik, Ondrej and DeGol, Joseph and Park, Hyun Soo and Sinha, Sudipta N.}, title = {Learning To Detect Scene Landmarks for Camera Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11132-11142} }

INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation

Leyao Liu,

Tian Zheng,

Yun-Jou Lin,

Kai Ni,

Lu Fang

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Leyao and Zheng, Tian and Lin, Yun-Jou and Ni, Kai and Fang, Lu}, title = {INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18975-18984} }

ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation

Lihe Yang,

Wei Zhuo,

Lei Qi,

Yinghuan Shi,

Yang Gao

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Lihe and Zhuo, Wei and Qi, Lei and Shi, Yinghuan and Gao, Yang}, title = {ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4268-4277} }

Visual Vibration Tomography: Estimating Interior Material Properties From Monocular Video

Berthy T. Feng,

Alexander C. Ogren,

Chiara Daraio,

Katherine L. Bouman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Feng_2022_CVPR, author = {Feng, Berthy T. and Ogren, Alexander C. and Daraio, Chiara and Bouman, Katherine L.}, title = {Visual Vibration Tomography: Estimating Interior Material Properties From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16231-16240} }

Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels

Hehe Fan,

Xiaojun Chang,

Wanyue Zhang,

Yi Cheng,

Ying Sun,

Mohan Kankanhalli

[pdf] [supp]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Hehe and Chang, Xiaojun and Zhang, Wanyue and Cheng, Yi and Sun, Ying and Kankanhalli, Mohan}, title = {Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6377-6386} }

Interacting Attention Graph for Single Image Two-Hand Reconstruction

Mengcheng Li,

Liang An,

Hongwen Zhang,

Lianpeng Wu,

Feng Chen,

Tao Yu,

Yebin Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Mengcheng and An, Liang and Zhang, Hongwen and Wu, Lianpeng and Chen, Feng and Yu, Tao and Liu, Yebin}, title = {Interacting Attention Graph for Single Image Two-Hand Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2761-2770} }

Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task

Xiaoqing Ye,

Mao Shu,

Hanyu Li,

Yifeng Shi,

Yingying Li,

Guangjie Wang,

Xiao Tan,

Errui Ding

[pdf] [supp]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Xiaoqing and Shu, Mao and Li, Hanyu and Shi, Yifeng and Li, Yingying and Wang, Guangjie and Tan, Xiao and Ding, Errui}, title = {Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21341-21350} }

Noisy Boundaries: Lemon or Lemonade for Semi-Supervised Instance Segmentation?

Zhenyu Wang,

Yali Li,

Shengjin Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhenyu and Li, Yali and Wang, Shengjin}, title = {Noisy Boundaries: Lemon or Lemonade for Semi-Supervised Instance Segmentation?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16826-16835} }

Boosting View Synthesis With Residual Transfer

Xuejian Rong,

Jia-Bin Huang,

Ayush Saraf,

Changil Kim,

Johannes Kopf

[pdf]

[bibtex]

@InProceedings{Rong_2022_CVPR, author = {Rong, Xuejian and Huang, Jia-Bin and Saraf, Ayush and Kim, Changil and Kopf, Johannes}, title = {Boosting View Synthesis With Residual Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19760-19769} }

Input-Level Inductive Biases for 3D Reconstruction

Wang Yifan,

Carl Doersch,

Relja Arandjelović,

João Carreira,

Andrew Zisserman

[pdf] [supp]

[bibtex]

@InProceedings{Yifan_2022_CVPR, author = {Yifan, Wang and Doersch, Carl and Arandjelovi\'c, Relja and Carreira, Jo\~ao and Zisserman, Andrew}, title = {Input-Level Inductive Biases for 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6176-6186} }

Exploring and Evaluating Image Restoration Potential in Dynamic Scenes

Cheng Zhang,

Shaolin Su,

Yu Zhu,

Qingsen Yan,

Jinqiu Sun,

Yanning Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Cheng and Su, Shaolin and Zhu, Yu and Yan, Qingsen and Sun, Jinqiu and Zhang, Yanning}, title = {Exploring and Evaluating Image Restoration Potential in Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2067-2076} }

FashionVLP: Vision Language Transformer for Fashion Retrieval With Feedback

Sonam Goenka,

Zhaoheng Zheng,

Ayush Jaiswal,

Rakesh Chada,

Yue Wu,

Varsha Hedau,

Pradeep Natarajan

[pdf]

[bibtex]

@InProceedings{Goenka_2022_CVPR, author = {Goenka, Sonam and Zheng, Zhaoheng and Jaiswal, Ayush and Chada, Rakesh and Wu, Yue and Hedau, Varsha and Natarajan, Pradeep}, title = {FashionVLP: Vision Language Transformer for Fashion Retrieval With Feedback}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14105-14115} }

Cross-Image Relational Knowledge Distillation for Semantic Segmentation

Chuanguang Yang,

Helong Zhou,

Zhulin An,

Xue Jiang,

Yongjun Xu,

Qian Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Chuanguang and Zhou, Helong and An, Zhulin and Jiang, Xue and Xu, Yongjun and Zhang, Qian}, title = {Cross-Image Relational Knowledge Distillation for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12319-12328} }

A-ViT: Adaptive Tokens for Efficient Vision Transformer

Hongxu Yin,

Arash Vahdat,

Jose M. Alvarez,

Arun Mallya,

Jan Kautz,

Pavlo Molchanov

[pdf] [supp]

[bibtex]

@InProceedings{Yin_2022_CVPR, author = {Yin, Hongxu and Vahdat, Arash and Alvarez, Jose M. and Mallya, Arun and Kautz, Jan and Molchanov, Pavlo}, title = {A-ViT: Adaptive Tokens for Efficient Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10809-10818} }

Think Global, Act Local: Dual-Scale Graph Transformer for Vision-and-Language Navigation

Shizhe Chen,

Pierre-Louis Guhur,

Makarand Tapaswi,

Cordelia Schmid,

Ivan Laptev

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Shizhe and Guhur, Pierre-Louis and Tapaswi, Makarand and Schmid, Cordelia and Laptev, Ivan}, title = {Think Global, Act Local: Dual-Scale Graph Transformer for Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16537-16547} }

Towards Layer-Wise Image Vectorization

Xu Ma,

Yuqian Zhou,

Xingqian Xu,

Bin Sun,

Valerii Filev,

Nikita Orlov,

Yun Fu,

Humphrey Shi

[pdf] [supp]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Xu and Zhou, Yuqian and Xu, Xingqian and Sun, Bin and Filev, Valerii and Orlov, Nikita and Fu, Yun and Shi, Humphrey}, title = {Towards Layer-Wise Image Vectorization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16314-16323} }

Scenic: A JAX Library for Computer Vision Research and Beyond

Mostafa Dehghani,

Alexey Gritsenko,

Anurag Arnab,

Matthias Minderer,

Yi Tay

[pdf] [arXiv]

[bibtex]

@InProceedings{Dehghani_2022_CVPR, author = {Dehghani, Mostafa and Gritsenko, Alexey and Arnab, Anurag and Minderer, Matthias and Tay, Yi}, title = {Scenic: A JAX Library for Computer Vision Research and Beyond}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21393-21398} }

CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters

Paul Gavrikov,

Janis Keuper

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gavrikov_2022_CVPR, author = {Gavrikov, Paul and Keuper, Janis}, title = {CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19066-19076} }

ScePT: Scene-Consistent, Policy-Based Trajectory Predictions for Planning

Yuxiao Chen,

Boris Ivanovic,

Marco Pavone

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Yuxiao and Ivanovic, Boris and Pavone, Marco}, title = {ScePT: Scene-Consistent, Policy-Based Trajectory Predictions for Planning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17103-17112} }

Calibrating Deep Neural Networks by Pairwise Constraints

Jiacheng Cheng,

Nuno Vasconcelos

[pdf] [supp]

[bibtex]

@InProceedings{Cheng_2022_CVPR, author = {Cheng, Jiacheng and Vasconcelos, Nuno}, title = {Calibrating Deep Neural Networks by Pairwise Constraints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13709-13718} }

Deep Saliency Prior for Reducing Visual Distraction

Kfir Aberman,

Junfeng He,

Yossi Gandelsman,

Inbar Mosseri,

David E. Jacobs,

Kai Kohlhoff,

Yael Pritch,

Michael Rubinstein

[pdf] [arXiv]

[bibtex]

@InProceedings{Aberman_2022_CVPR, author = {Aberman, Kfir and He, Junfeng and Gandelsman, Yossi and Mosseri, Inbar and Jacobs, David E. and Kohlhoff, Kai and Pritch, Yael and Rubinstein, Michael}, title = {Deep Saliency Prior for Reducing Visual Distraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19851-19860} }

Efficient Large-Scale Localization by Global Instance Recognition

Fei Xue,

Ignas Budvytis,

Daniel Olmeda Reino,

Roberto Cipolla

[pdf] [supp]

[bibtex]

@InProceedings{Xue_2022_CVPR, author = {Xue, Fei and Budvytis, Ignas and Reino, Daniel Olmeda and Cipolla, Roberto}, title = {Efficient Large-Scale Localization by Global Instance Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17348-17357} }

Sign Language Video Retrieval With Free-Form Textual Queries

Amanda Duarte,

Samuel Albanie,

Xavier Giró-i-Nieto,

Gül Varol

[pdf] [supp]

[bibtex]

@InProceedings{Duarte_2022_CVPR, author = {Duarte, Amanda and Albanie, Samuel and Gir\'o-i-Nieto, Xavier and Varol, G\"ul}, title = {Sign Language Video Retrieval With Free-Form Textual Queries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14094-14104} }

Real-Time Object Detection for Streaming Perception

Jinrong Yang,

Songtao Liu,

Zeming Li,

Xiaoping Li,

Jian Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Jinrong and Liu, Songtao and Li, Zeming and Li, Xiaoping and Sun, Jian}, title = {Real-Time Object Detection for Streaming Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5385-5395} }

Simulated Adversarial Testing of Face Recognition Models

Nataniel Ruiz,

Adam Kortylewski,

Weichao Qiu,

Cihang Xie,

Sarah Adel Bargal,

Alan Yuille,

Stan Sclaroff

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ruiz_2022_CVPR, author = {Ruiz, Nataniel and Kortylewski, Adam and Qiu, Weichao and Xie, Cihang and Bargal, Sarah Adel and Yuille, Alan and Sclaroff, Stan}, title = {Simulated Adversarial Testing of Face Recognition Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4145-4155} }

VisualHow: Multimodal Problem Solving

Jinhui Yang,

Xianyu Chen,

Ming Jiang,

Shi Chen,

Louis Wang,

Qi Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Jinhui and Chen, Xianyu and Jiang, Ming and Chen, Shi and Wang, Louis and Zhao, Qi}, title = {VisualHow: Multimodal Problem Solving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15627-15637} }

Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets

Vishnu Suresh Lokhande,

Rudrasis Chakraborty,

Sathya N. Ravi,

Vikas Singh

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lokhande_2022_CVPR, author = {Lokhande, Vishnu Suresh and Chakraborty, Rudrasis and Ravi, Sathya N. and Singh, Vikas}, title = {Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10432-10441} }

Spatial Commonsense Graph for Object Localisation in Partial Scenes

Francesco Giuliari,

Geri Skenderi,

Marco Cristani,

Yiming Wang,

Alessio Del Bue

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Giuliari_2022_CVPR, author = {Giuliari, Francesco and Skenderi, Geri and Cristani, Marco and Wang, Yiming and Del Bue, Alessio}, title = {Spatial Commonsense Graph for Object Localisation in Partial Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19518-19527} }

CAT-Det: Contrastively Augmented Transformer for Multi-Modal 3D Object Detection

Yanan Zhang,

Jiaxin Chen,

Di Huang

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yanan and Chen, Jiaxin and Huang, Di}, title = {CAT-Det: Contrastively Augmented Transformer for Multi-Modal 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {908-917} }

OSSGAN: Open-Set Semi-Supervised Image Generation

Kai Katsumata,

Duc Minh Vo,

Hideki Nakayama

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Katsumata_2022_CVPR, author = {Katsumata, Kai and Vo, Duc Minh and Nakayama, Hideki}, title = {OSSGAN: Open-Set Semi-Supervised Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11185-11193} }

Lite Vision Transformer With Enhanced Self-Attention

Chenglin Yang,

Yilin Wang,

Jianming Zhang,

He Zhang,

Zijun Wei,

Zhe Lin,

Alan Yuille

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Chenglin and Wang, Yilin and Zhang, Jianming and Zhang, He and Wei, Zijun and Lin, Zhe and Yuille, Alan}, title = {Lite Vision Transformer With Enhanced Self-Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11998-12008} }

Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection

Zhuoling Li,

Zhan Qu,

Yang Zhou,

Jianzhuang Liu,

Haoqian Wang,

Lihui Jiang

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Zhuoling and Qu, Zhan and Zhou, Yang and Liu, Jianzhuang and Wang, Haoqian and Jiang, Lihui}, title = {Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2791-2800} }

NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning

Tony Ng,

Hyo Jin Kim,

Vincent T. Lee,

Daniel DeTone,

Tsun-Yi Yang,

Tianwei Shen,

Eddy Ilg,

Vassileios Balntas,

Krystian Mikolajczyk,

Chris Sweeney

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ng_2022_CVPR, author = {Ng, Tony and Kim, Hyo Jin and Lee, Vincent T. and DeTone, Daniel and Yang, Tsun-Yi and Shen, Tianwei and Ilg, Eddy and Balntas, Vassileios and Mikolajczyk, Krystian and Sweeney, Chris}, title = {NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12797-12807} }

Physically-Guided Disentangled Implicit Rendering for 3D Face Modeling

Zhenyu Zhang,

Yanhao Ge,

Ying Tai,

Weijian Cao,

Renwang Chen,

Kunlin Liu,

Hao Tang,

Xiaoming Huang,

Chengjie Wang,

Zhifeng Xie,

Dongjin Huang

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Zhenyu and Ge, Yanhao and Tai, Ying and Cao, Weijian and Chen, Renwang and Liu, Kunlin and Tang, Hao and Huang, Xiaoming and Wang, Chengjie and Xie, Zhifeng and Huang, Dongjin}, title = {Physically-Guided Disentangled Implicit Rendering for 3D Face Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20353-20363} }

M5Product: Self-Harmonized Contrastive Learning for E-Commercial Multi-Modal Pretraining

Xiao Dong,

Xunlin Zhan,

Yangxin Wu,

Yunchao Wei,

Michael C. Kampffmeyer,

Xiaoyong Wei,

Minlong Lu,

Yaowei Wang,

Xiaodan Liang

[pdf] [supp]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Xiao and Zhan, Xunlin and Wu, Yangxin and Wei, Yunchao and Kampffmeyer, Michael C. and Wei, Xiaoyong and Lu, Minlong and Wang, Yaowei and Liang, Xiaodan}, title = {M5Product: Self-Harmonized Contrastive Learning for E-Commercial Multi-Modal Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21252-21262} }

Bi-Level Alignment for Cross-Domain Crowd Counting

Shenjian Gong,

Shanshan Zhang,

Jian Yang,

Dengxin Dai,

Bernt Schiele

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gong_2022_CVPR, author = {Gong, Shenjian and Zhang, Shanshan and Yang, Jian and Dai, Dengxin and Schiele, Bernt}, title = {Bi-Level Alignment for Cross-Domain Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7542-7550} }

ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation

Duolikun Danier,

Fan Zhang,

David Bull

[pdf] [supp]

[bibtex]

@InProceedings{Danier_2022_CVPR, author = {Danier, Duolikun and Zhang, Fan and Bull, David}, title = {ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3521-3531} }

Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites

Ngoc Long Nguyen,

Jérémy Anger,

Axel Davy,

Pablo Arias,

Gabriele Facciolo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nguyen_2022_CVPR, author = {Nguyen, Ngoc Long and Anger, J\'er\'emy and Davy, Axel and Arias, Pablo and Facciolo, Gabriele}, title = {Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1858-1868} }

Efficient Multi-View Stereo by Iterative Dynamic Cost Volume

Shaoqian Wang,

Bo Li,

Yuchao Dai

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Shaoqian and Li, Bo and Dai, Yuchao}, title = {Efficient Multi-View Stereo by Iterative Dynamic Cost Volume}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8655-8664} }

Learning To Generate Line Drawings That Convey Geometry and Semantics

Caroline Chan,

Frédo Durand,

Phillip Isola

[pdf] [arXiv]

[bibtex]

@InProceedings{Chan_2022_CVPR, author = {Chan, Caroline and Durand, Fr\'edo and Isola, Phillip}, title = {Learning To Generate Line Drawings That Convey Geometry and Semantics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7915-7925} }

On Guiding Visual Attention With Language Specification

Suzanne Petryk,

Lisa Dunlap,

Keyan Nasseri,

Joseph Gonzalez,

Trevor Darrell,

Anna Rohrbach

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Petryk_2022_CVPR, author = {Petryk, Suzanne and Dunlap, Lisa and Nasseri, Keyan and Gonzalez, Joseph and Darrell, Trevor and Rohrbach, Anna}, title = {On Guiding Visual Attention With Language Specification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18092-18102} }

ReSTR: Convolution-Free Referring Image Segmentation Using Transformers

Namyup Kim,

Dongwon Kim,

Cuiling Lan,

Wenjun Zeng,

Suha Kwak

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Namyup and Kim, Dongwon and Lan, Cuiling and Zeng, Wenjun and Kwak, Suha}, title = {ReSTR: Convolution-Free Referring Image Segmentation Using Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18145-18154} }

A Graph Matching Perspective With Transformers on Video Instance Segmentation

Zheyun Qin,

Xiankai Lu,

Xiushan Nie,

Yilong Yin,

Jianbing Shen

[pdf] [supp]

[bibtex]

@InProceedings{Qin_2022_CVPR, author = {Qin, Zheyun and Lu, Xiankai and Nie, Xiushan and Yin, Yilong and Shen, Jianbing}, title = {A Graph Matching Perspective With Transformers on Video Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13936-13945} }

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

Yanbo Xu,

Yueqin Yin,

Liming Jiang,

Qianyi Wu,

Chengyao Zheng,

Chen Change Loy,

Bo Dai,

Wayne Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Yanbo and Yin, Yueqin and Jiang, Liming and Wu, Qianyi and Zheng, Chengyao and Loy, Chen Change and Dai, Bo and Wu, Wayne}, title = {TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7683-7692} }

FLAG: Flow-Based 3D Avatar Generation From Sparse Observations

Sadegh Aliakbarian,

Pashmina Cameron,

Federica Bogo,

Andrew Fitzgibbon,

Thomas J. Cashman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Aliakbarian_2022_CVPR, author = {Aliakbarian, Sadegh and Cameron, Pashmina and Bogo, Federica and Fitzgibbon, Andrew and Cashman, Thomas J.}, title = {FLAG: Flow-Based 3D Avatar Generation From Sparse Observations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13253-13262} }

Stability-Driven Contact Reconstruction From Monocular Color Images

Zimeng Zhao,

Binghui Zuo,

Wei Xie,

Yangang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Zimeng and Zuo, Binghui and Xie, Wei and Wang, Yangang}, title = {Stability-Driven Contact Reconstruction From Monocular Color Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1643-1653} }

Use All the Labels: A Hierarchical Multi-Label Contrastive Learning Framework

Shu Zhang,

Ran Xu,

Caiming Xiong,

Chetan Ramaiah

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Shu and Xu, Ran and Xiong, Caiming and Ramaiah, Chetan}, title = {Use All the Labels: A Hierarchical Multi-Label Contrastive Learning Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16660-16669} }

SGTR: End-to-End Scene Graph Generation With Transformer

Rongjie Li,

Songyang Zhang,

Xuming He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Rongjie and Zhang, Songyang and He, Xuming}, title = {SGTR: End-to-End Scene Graph Generation With Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19486-19496} }

Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation

Abhijit Kundu,

Kyle Genova,

Xiaoqi Yin,

Alireza Fathi,

Caroline Pantofaru,

Leonidas J. Guibas,

Andrea Tagliasacchi,

Frank Dellaert,

Thomas Funkhouser

[pdf] [arXiv]

[bibtex]

@InProceedings{Kundu_2022_CVPR, author = {Kundu, Abhijit and Genova, Kyle and Yin, Xiaoqi and Fathi, Alireza and Pantofaru, Caroline and Guibas, Leonidas J. and Tagliasacchi, Andrea and Dellaert, Frank and Funkhouser, Thomas}, title = {Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12871-12881} }

Texture-Based Error Analysis for Image Super-Resolution

Salma Abdel Magid,

Zudi Lin,

Donglai Wei,

Yulun Zhang,

Jinjin Gu,

Hanspeter Pfister

[pdf]

[bibtex]

@InProceedings{Magid_2022_CVPR, author = {Magid, Salma Abdel and Lin, Zudi and Wei, Donglai and Zhang, Yulun and Gu, Jinjin and Pfister, Hanspeter}, title = {Texture-Based Error Analysis for Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2118-2127} }

PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework

Ning Kang,

Shanzhao Qiu,

Shifeng Zhang,

Zhenguo Li,

Shu-Tao Xia

[pdf] [supp]

[bibtex]

@InProceedings{Kang_2022_CVPR, author = {Kang, Ning and Qiu, Shanzhao and Zhang, Shifeng and Li, Zhenguo and Xia, Shu-Tao}, title = {PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3739-3748} }

Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency

Zijia Lu,

Ehsan Elhamifar

[pdf] [supp]

[bibtex]

@InProceedings{Lu_2022_CVPR, author = {Lu, Zijia and Elhamifar, Ehsan}, title = {Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19903-19913} }

Learning To Align Sequential Actions in the Wild

Weizhe Liu,

Bugra Tekin,

Huseyin Coskun,

Vibhav Vineet,

Pascal Fua,

Marc Pollefeys

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Weizhe and Tekin, Bugra and Coskun, Huseyin and Vineet, Vibhav and Fua, Pascal and Pollefeys, Marc}, title = {Learning To Align Sequential Actions in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2181-2191} }

Decoupled Knowledge Distillation

Borui Zhao,

Quan Cui,

Renjie Song,

Yiyu Qiu,

Jiajun Liang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Borui and Cui, Quan and Song, Renjie and Qiu, Yiyu and Liang, Jiajun}, title = {Decoupled Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11953-11962} }

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

Yingwei Li,

Adams Wei Yu,

Tianjian Meng,

Ben Caine,

Jiquan Ngiam,

Daiyi Peng,

Junyang Shen,

Yifeng Lu,

Denny Zhou,

Quoc V. Le,

Alan Yuille,

Mingxing Tan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yingwei and Yu, Adams Wei and Meng, Tianjian and Caine, Ben and Ngiam, Jiquan and Peng, Daiyi and Shen, Junyang and Lu, Yifeng and Zhou, Denny and Le, Quoc V. and Yuille, Alan and Tan, Mingxing}, title = {DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17182-17191} }

Neural Volumetric Object Selection

Zhongzheng Ren,

Aseem Agarwala,

Bryan Russell,

Alexander G. Schwing,

Oliver Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Zhongzheng and Agarwala, Aseem and Russell, Bryan and Schwing, Alexander G. and Wang, Oliver}, title = {Neural Volumetric Object Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6133-6142} }

GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning

Rishabh Tiwari,

Krishnateja Killamsetty,

Rishabh Iyer,

Pradeep Shenoy

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tiwari_2022_CVPR, author = {Tiwari, Rishabh and Killamsetty, Krishnateja and Iyer, Rishabh and Shenoy, Pradeep}, title = {GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {99-108} }

PointCLIP: Point Cloud Understanding by CLIP

Renrui Zhang,

Ziyu Guo,

Wei Zhang,

Kunchang Li,

Xupeng Miao,

Bin Cui,

Yu Qiao,

Peng Gao,

Hongsheng Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Renrui and Guo, Ziyu and Zhang, Wei and Li, Kunchang and Miao, Xupeng and Cui, Bin and Qiao, Yu and Gao, Peng and Li, Hongsheng}, title = {PointCLIP: Point Cloud Understanding by CLIP}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8552-8562} }

NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction

Xiaoshuai Zhang,

Sai Bi,

Kalyan Sunkavalli,

Hao Su,

Zexiang Xu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Xiaoshuai and Bi, Sai and Sunkavalli, Kalyan and Su, Hao and Xu, Zexiang}, title = {NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5449-5458} }

DeepFace-EMD: Re-Ranking Using Patch-Wise Earth Mover's Distance Improves Out-of-Distribution Face Identification

Hai Phan,

Anh Nguyen

[pdf] [supp]

[bibtex]

@InProceedings{Phan_2022_CVPR, author = {Phan, Hai and Nguyen, Anh}, title = {DeepFace-EMD: Re-Ranking Using Patch-Wise Earth Mover's Distance Improves Out-of-Distribution Face Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20259-20269} }

A Sampling-Based Approach for Efficient Clustering in Large Datasets

Georgios Exarchakis,

Omar Oubari,

Gregor Lenz

[pdf] [arXiv]

[bibtex]

@InProceedings{Exarchakis_2022_CVPR, author = {Exarchakis, Georgios and Oubari, Omar and Lenz, Gregor}, title = {A Sampling-Based Approach for Efficient Clustering in Large Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12403-12412} }

General Facial Representation Learning in a Visual-Linguistic Manner

Yinglin Zheng,

Hao Yang,

Ting Zhang,

Jianmin Bao,

Dongdong Chen,

Yangyu Huang,

Lu Yuan,

Dong Chen,

Ming Zeng,

Fang Wen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Yinglin and Yang, Hao and Zhang, Ting and Bao, Jianmin and Chen, Dongdong and Huang, Yangyu and Yuan, Lu and Chen, Dong and Zeng, Ming and Wen, Fang}, title = {General Facial Representation Learning in a Visual-Linguistic Manner}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18697-18709} }

Deep Color Consistent Network for Low-Light Image Enhancement

Zhao Zhang,

Huan Zheng,

Richang Hong,

Mingliang Xu,

Shuicheng Yan,

Meng Wang

[pdf]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Zhao and Zheng, Huan and Hong, Richang and Xu, Mingliang and Yan, Shuicheng and Wang, Meng}, title = {Deep Color Consistent Network for Low-Light Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1899-1908} }

AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks

Huu Le,

Rasmus Kjær Høier,

Che-Tsung Lin,

Christopher Zach

[pdf] [supp]

[bibtex]

@InProceedings{Le_2022_CVPR, author = {Le, Huu and H{\o}ier, Rasmus Kj{\ae}r and Lin, Che-Tsung and Zach, Christopher}, title = {AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {460-469} }

Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation

Lin Chen,

Huaian Chen,

Zhixiang Wei,

Xin Jin,

Xiao Tan,

Yi Jin,

Enhong Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Lin and Chen, Huaian and Wei, Zhixiang and Jin, Xin and Tan, Xiao and Jin, Yi and Chen, Enhong}, title = {Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7181-7190} }

Pooling Revisited: Your Receptive Field Is Suboptimal

Dong-Hwan Jang,

Sanghyeok Chu,

Joonhyuk Kim,

Bohyung Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jang_2022_CVPR, author = {Jang, Dong-Hwan and Chu, Sanghyeok and Kim, Joonhyuk and Han, Bohyung}, title = {Pooling Revisited: Your Receptive Field Is Suboptimal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {549-558} }

Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches

Jin-Man Park,

Ue-Hwan Kim,

Seon-Hoon Lee,

Jong-Hwan Kim

[pdf] [supp]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, Jin-Man and Kim, Ue-Hwan and Lee, Seon-Hoon and Kim, Jong-Hwan}, title = {Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13749-13759} }

Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning

Ligong Han,

Jian Ren,

Hsin-Ying Lee,

Francesco Barbieri,

Kyle Olszewski,

Shervin Minaee,

Dimitris Metaxas,

Sergey Tulyakov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Han_2022_CVPR, author = {Han, Ligong and Ren, Jian and Lee, Hsin-Ying and Barbieri, Francesco and Olszewski, Kyle and Minaee, Shervin and Metaxas, Dimitris and Tulyakov, Sergey}, title = {Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3615-3625} }

Patch Slimming for Efficient Vision Transformers

Yehui Tang,

Kai Han,

Yunhe Wang,

Chang Xu,

Jianyuan Guo,

Chao Xu,

Dacheng Tao

[pdf] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Yehui and Han, Kai and Wang, Yunhe and Xu, Chang and Guo, Jianyuan and Xu, Chao and Tao, Dacheng}, title = {Patch Slimming for Efficient Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12165-12174} }

Bijective Mapping Network for Shadow Removal

Yurui Zhu,

Jie Huang,

Xueyang Fu,

Feng Zhao,

Qibin Sun,

Zheng-Jun Zha

[pdf]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Yurui and Huang, Jie and Fu, Xueyang and Zhao, Feng and Sun, Qibin and Zha, Zheng-Jun}, title = {Bijective Mapping Network for Shadow Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5627-5636} }

End-to-End Semi-Supervised Learning for Video Action Detection

Akash Kumar,

Yogesh Singh Rawat

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kumar_2022_CVPR, author = {Kumar, Akash and Rawat, Yogesh Singh}, title = {End-to-End Semi-Supervised Learning for Video Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14700-14710} }

Causal Transportability for Visual Recognition

Chengzhi Mao,

Kevin Xia,

James Wang,

Hao Wang,

Junfeng Yang,

Elias Bareinboim,

Carl Vondrick

[pdf] [arXiv]

[bibtex]

@InProceedings{Mao_2022_CVPR, author = {Mao, Chengzhi and Xia, Kevin and Wang, James and Wang, Hao and Yang, Junfeng and Bareinboim, Elias and Vondrick, Carl}, title = {Causal Transportability for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7521-7531} }

Local Attention Pyramid for Scene Image Generation

Sang-Heon Shim,

Sangeek Hyun,

DaeHyun Bae,

Jae-Pil Heo

[pdf] [supp]

[bibtex]

@InProceedings{Shim_2022_CVPR, author = {Shim, Sang-Heon and Hyun, Sangeek and Bae, DaeHyun and Heo, Jae-Pil}, title = {Local Attention Pyramid for Scene Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7774-7782} }

Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation

Hengbo Ma,

Jiachen Li,

Ramtin Hosseini,

Masayoshi Tomizuka,

Chiho Choi

[pdf] [supp]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Hengbo and Li, Jiachen and Hosseini, Ramtin and Tomizuka, Masayoshi and Choi, Chiho}, title = {Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8161-8171} }

GridShift: A Faster Mode-Seeking Algorithm for Image Segmentation and Object Tracking

Abhishek Kumar,

Oladayo S. Ajani,

Swagatam Das,

Rammohan Mallipeddi

[pdf] [supp]

[bibtex]

@InProceedings{Kumar_2022_CVPR, author = {Kumar, Abhishek and Ajani, Oladayo S. and Das, Swagatam and Mallipeddi, Rammohan}, title = {GridShift: A Faster Mode-Seeking Algorithm for Image Segmentation and Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8131-8139} }

Confidence Propagation Cluster: Unleash Full Potential of Object Detectors

Yichun Shen,

Wanli Jiang,

Zhen Xu,

Rundong Li,

Junghyun Kwon,

Siyi Li

[pdf] [arXiv]

[bibtex]

@InProceedings{Shen_2022_CVPR, author = {Shen, Yichun and Jiang, Wanli and Xu, Zhen and Li, Rundong and Kwon, Junghyun and Li, Siyi}, title = {Confidence Propagation Cluster: Unleash Full Potential of Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1151-1161} }

Cluster-Guided Image Synthesis With Unconditional Models

Markos Georgopoulos,

James Oldfield,

Grigorios G. Chrysos,

Yannis Panagakis

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Georgopoulos_2022_CVPR, author = {Georgopoulos, Markos and Oldfield, James and Chrysos, Grigorios G. and Panagakis, Yannis}, title = {Cluster-Guided Image Synthesis With Unconditional Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11543-11552} }

ISNet: Shape Matters for Infrared Small Target Detection

Mingjin Zhang,

Rui Zhang,

Yuxiang Yang,

Haichen Bai,

Jing Zhang,

Jie Guo

[pdf]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Mingjin and Zhang, Rui and Yang, Yuxiang and Bai, Haichen and Zhang, Jing and Guo, Jie}, title = {ISNet: Shape Matters for Infrared Small Target Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {877-886} }

Robust Region Feature Synthesizer for Zero-Shot Object Detection

Peiliang Huang,

Junwei Han,

De Cheng,

Dingwen Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Peiliang and Han, Junwei and Cheng, De and Zhang, Dingwen}, title = {Robust Region Feature Synthesizer for Zero-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7622-7631} }

Virtual Correspondence: Humans as a Cue for Extreme-View Geometry

Wei-Chiu Ma,

Anqi Joyce Yang,

Shenlong Wang,

Raquel Urtasun,

Antonio Torralba

[pdf]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Wei-Chiu and Yang, Anqi Joyce and Wang, Shenlong and Urtasun, Raquel and Torralba, Antonio}, title = {Virtual Correspondence: Humans as a Cue for Extreme-View Geometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15924-15934} }

Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way

Qi Jia,

Shuilian Yao,

Yu Liu,

Xin Fan,

Risheng Liu,

Zhongxuan Luo

[pdf]

[bibtex]

@InProceedings{Jia_2022_CVPR, author = {Jia, Qi and Yao, Shuilian and Liu, Yu and Fan, Xin and Liu, Risheng and Luo, Zhongxuan}, title = {Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4713-4722} }

SIMBAR: Single Image-Based Scene Relighting for Effective Data Augmentation for Automated Driving Vision Tasks

Xianling Zhang,

Nathan Tseng,

Ameerah Syed,

Rohan Bhasin,

Nikita Jaipuria

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Xianling and Tseng, Nathan and Syed, Ameerah and Bhasin, Rohan and Jaipuria, Nikita}, title = {SIMBAR: Single Image-Based Scene Relighting for Effective Data Augmentation for Automated Driving Vision Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3718-3728} }

Shape From Thermal Radiation: Passive Ranging Using Multi-Spectral LWIR Measurements

Yasuto Nagase,

Takahiro Kushida,

Kenichiro Tanaka,

Takuya Funatomi,

Yasuhiro Mukaigawa

[pdf]

[bibtex]

@InProceedings{Nagase_2022_CVPR, author = {Nagase, Yasuto and Kushida, Takahiro and Tanaka, Kenichiro and Funatomi, Takuya and Mukaigawa, Yasuhiro}, title = {Shape From Thermal Radiation: Passive Ranging Using Multi-Spectral LWIR Measurements}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12661-12671} }

Multi-Label Classification With Partial Annotations Using Class-Aware Selective Loss

Emanuel Ben-Baruch,

Tal Ridnik,

Itamar Friedman,

Avi Ben-Cohen,

Nadav Zamir,

Asaf Noy,

Lihi Zelnik-Manor

[pdf] [supp]

[bibtex]

@InProceedings{Ben-Baruch_2022_CVPR, author = {Ben-Baruch, Emanuel and Ridnik, Tal and Friedman, Itamar and Ben-Cohen, Avi and Zamir, Nadav and Noy, Asaf and Zelnik-Manor, Lihi}, title = {Multi-Label Classification With Partial Annotations Using Class-Aware Selective Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4764-4772} }

HSC4D: Human-Centered 4D Scene Capture in Large-Scale Indoor-Outdoor Space Using Wearable IMUs and LiDAR

Yudi Dai,

Yitai Lin,

Chenglu Wen,

Siqi Shen,

Lan Xu,

Jingyi Yu,

Yuexin Ma,

Cheng Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dai_2022_CVPR, author = {Dai, Yudi and Lin, Yitai and Wen, Chenglu and Shen, Siqi and Xu, Lan and Yu, Jingyi and Ma, Yuexin and Wang, Cheng}, title = {HSC4D: Human-Centered 4D Scene Capture in Large-Scale Indoor-Outdoor Space Using Wearable IMUs and LiDAR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6792-6802} }

CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings

Zhiwen Fan,

Tianlong Chen,

Peihao Wang,

Zhangyang Wang

[pdf] [supp]

[bibtex]

@InProceedings{Fan_2022_CVPR, author = {Fan, Zhiwen and Chen, Tianlong and Wang, Peihao and Wang, Zhangyang}, title = {CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10986-10996} }

IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization

Yunshan Zhong,

Mingbao Lin,

Gongrui Nan,

Jianzhuang Liu,

Baochang Zhang,

Yonghong Tian,

Rongrong Ji

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhong_2022_CVPR, author = {Zhong, Yunshan and Lin, Mingbao and Nan, Gongrui and Liu, Jianzhuang and Zhang, Baochang and Tian, Yonghong and Ji, Rongrong}, title = {IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12339-12348} }

M3L: Language-Based Video Editing via Multi-Modal Multi-Level Transformers

Tsu-Jui Fu,

Xin Eric Wang,

Scott T. Grafton,

Miguel P. Eckstein,

William Yang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fu_2022_CVPR, author = {Fu, Tsu-Jui and Wang, Xin Eric and Grafton, Scott T. and Eckstein, Miguel P. and Wang, William Yang}, title = {M3L: Language-Based Video Editing via Multi-Modal Multi-Level Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10513-10522} }

I M Avatar: Implicit Morphable Head Avatars From Videos

Yufeng Zheng,

Victoria Fernández Abrevaya,

Marcel C. Bühler,

Xu Chen,

Michael J. Black,

Otmar Hilliges

[pdf] [supp]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Yufeng and Abrevaya, Victoria Fern\'andez and B\"uhler, Marcel C. and Chen, Xu and Black, Michael J. and Hilliges, Otmar}, title = {I M Avatar: Implicit Morphable Head Avatars From Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13545-13555} }

BodyMap: Learning Full-Body Dense Correspondence Map

Anastasia Ianina,

Nikolaos Sarafianos,

Yuanlu Xu,

Ignacio Rocco,

Tony Tung

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ianina_2022_CVPR, author = {Ianina, Anastasia and Sarafianos, Nikolaos and Xu, Yuanlu and Rocco, Ignacio and Tung, Tony}, title = {BodyMap: Learning Full-Body Dense Correspondence Map}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13286-13295} }

Weakly-Supervised Metric Learning With Cross-Module Communications for the Classification of Anterior Chamber Angle Images

Jingqi Huang,

Yue Ning,

Dong Nie,

Linan Guan,

Xiping Jia

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Jingqi and Ning, Yue and Nie, Dong and Guan, Linan and Jia, Xiping}, title = {Weakly-Supervised Metric Learning With Cross-Module Communications for the Classification of Anterior Chamber Angle Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {752-762} }

A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-Shot Representation Forecasting

Tianshan Liu,

Kin-Man Lam

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Tianshan and Lam, Kin-Man}, title = {A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-Shot Representation Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13904-13913} }

It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher

Kanghyun Choi,

Hye Yoon Lee,

Deokki Hong,

Joonsang Yu,

Noseong Park,

Youngsok Kim,

Jinho Lee

[pdf] [supp]

[bibtex]

@InProceedings{Choi_2022_CVPR, author = {Choi, Kanghyun and Lee, Hye Yoon and Hong, Deokki and Yu, Joonsang and Park, Noseong and Kim, Youngsok and Lee, Jinho}, title = {It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8311-8321} }

Improving Segmentation of the Inferior Alveolar Nerve Through Deep Label Propagation

Marco Cipriano,

Stefano Allegretti,

Federico Bolelli,

Federico Pollastri,

Costantino Grana

[pdf]

[bibtex]

@InProceedings{Cipriano_2022_CVPR, author = {Cipriano, Marco and Allegretti, Stefano and Bolelli, Federico and Pollastri, Federico and Grana, Costantino}, title = {Improving Segmentation of the Inferior Alveolar Nerve Through Deep Label Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21137-21146} }

A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-Resolution

Jianqi Ma,

Zhetong Liang,

Lei Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Jianqi and Liang, Zhetong and Zhang, Lei}, title = {A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5911-5920} }

Multi-Modal Dynamic Graph Transformer for Visual Grounding

Sijia Chen,

Baochun Li

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Sijia and Li, Baochun}, title = {Multi-Modal Dynamic Graph Transformer for Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15534-15543} }

OSOP: A Multi-Stage One Shot Object Pose Estimation Framework

Ivan Shugurov,

Fu Li,

Benjamin Busam,

Slobodan Ilic

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shugurov_2022_CVPR, author = {Shugurov, Ivan and Li, Fu and Busam, Benjamin and Ilic, Slobodan}, title = {OSOP: A Multi-Stage One Shot Object Pose Estimation Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6835-6844} }

Generative Cooperative Learning for Unsupervised Video Anomaly Detection

M. Zaigham Zaheer,

Arif Mahmood,

M. Haris Khan,

Mattia Segu,

Fisher Yu,

Seung-Ik Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zaheer_2022_CVPR, author = {Zaheer, M. Zaigham and Mahmood, Arif and Khan, M. Haris and Segu, Mattia and Yu, Fisher and Lee, Seung-Ik}, title = {Generative Cooperative Learning for Unsupervised Video Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14744-14754} }

Rethinking Semantic Segmentation: A Prototype View

Tianfei Zhou,

Wenguan Wang,

Ender Konukoglu,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Tianfei and Wang, Wenguan and Konukoglu, Ender and Van Gool, Luc}, title = {Rethinking Semantic Segmentation: A Prototype View}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2582-2593} }

Geometric Transformer for Fast and Robust Point Cloud Registration

Zheng Qin,

Hao Yu,

Changjian Wang,

Yulan Guo,

Yuxing Peng,

Kai Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Qin_2022_CVPR, author = {Qin, Zheng and Yu, Hao and Wang, Changjian and Guo, Yulan and Peng, Yuxing and Xu, Kai}, title = {Geometric Transformer for Fast and Robust Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11143-11152} }

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition

Yinghao Xu,

Fangyun Wei,

Xiao Sun,

Ceyuan Yang,

Yujun Shen,

Bo Dai,

Bolei Zhou,

Stephen Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Yinghao and Wei, Fangyun and Sun, Xiao and Yang, Ceyuan and Shen, Yujun and Dai, Bo and Zhou, Bolei and Lin, Stephen}, title = {Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2959-2968} }

UMT: Unified Multi-Modal Transformers for Joint Video Moment Retrieval and Highlight Detection

Ye Liu,

Siyuan Li,

Yang Wu,

Chang-Wen Chen,

Ying Shan,

Xiaohu Qie

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Ye and Li, Siyuan and Wu, Yang and Chen, Chang-Wen and Shan, Ying and Qie, Xiaohu}, title = {UMT: Unified Multi-Modal Transformers for Joint Video Moment Retrieval and Highlight Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3042-3051} }

Dual-Shutter Optical Vibration Sensing

Mark Sheinin,

Dorian Chan,

Matthew O'Toole,

Srinivasa G. Narasimhan

[pdf] [supp]

[bibtex]

@InProceedings{Sheinin_2022_CVPR, author = {Sheinin, Mark and Chan, Dorian and O'Toole, Matthew and Narasimhan, Srinivasa G.}, title = {Dual-Shutter Optical Vibration Sensing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16324-16333} }

Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training?

Jisoo Mok,

Byunggook Na,

Ji-Hoon Kim,

Dongyoon Han,

Sungroh Yoon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mok_2022_CVPR, author = {Mok, Jisoo and Na, Byunggook and Kim, Ji-Hoon and Han, Dongyoon and Yoon, Sungroh}, title = {Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11861-11870} }

Learning To Find Good Models in RANSAC

Daniel Barath,

Luca Cavalli,

Marc Pollefeys

[pdf] [supp]

[bibtex]

@InProceedings{Barath_2022_CVPR, author = {Barath, Daniel and Cavalli, Luca and Pollefeys, Marc}, title = {Learning To Find Good Models in RANSAC}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15744-15753} }

Interactiveness Field in Human-Object Interactions

Xinpeng Liu,

Yong-Lu Li,

Xiaoqian Wu,

Yu-Wing Tai,

Cewu Lu,

Chi-Keung Tang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Xinpeng and Li, Yong-Lu and Wu, Xiaoqian and Tai, Yu-Wing and Lu, Cewu and Tang, Chi-Keung}, title = {Interactiveness Field in Human-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20113-20122} }

BodyGAN: General-Purpose Controllable Neural Human Body Generation

Chaojie Yang,

Hanhui Li,

Shengjie Wu,

Shengkai Zhang,

Haonan Yan,

Nianhong Jiao,

Jie Tang,

Runnan Zhou,

Xiaodan Liang,

Tianxiang Zheng

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Chaojie and Li, Hanhui and Wu, Shengjie and Zhang, Shengkai and Yan, Haonan and Jiao, Nianhong and Tang, Jie and Zhou, Runnan and Liang, Xiaodan and Zheng, Tianxiang}, title = {BodyGAN: General-Purpose Controllable Neural Human Body Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7733-7742} }

Image Disentanglement Autoencoder for Steganography Without Embedding

Xiyao Liu,

Ziping Ma,

Junxing Ma,

Jian Zhang,

Gerald Schaefer,

Hui Fang

[pdf]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Xiyao and Ma, Ziping and Ma, Junxing and Zhang, Jian and Schaefer, Gerald and Fang, Hui}, title = {Image Disentanglement Autoencoder for Steganography Without Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2303-2312} }

Self-Supervised Dense Consistency Regularization for Image-to-Image Translation

Minsu Ko,

Eunju Cha,

Sungjoo Suh,

Huijin Lee,

Jae-Joon Han,

Jinwoo Shin,

Bohyung Han

[pdf] [supp]

[bibtex]

@InProceedings{Ko_2022_CVPR, author = {Ko, Minsu and Cha, Eunju and Suh, Sungjoo and Lee, Huijin and Han, Jae-Joon and Shin, Jinwoo and Han, Bohyung}, title = {Self-Supervised Dense Consistency Regularization for Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18301-18310} }

The Devil Is in the Details: Window-Based Attention for Image Compression

Renjie Zou,

Chunfeng Song,

Zhaoxiang Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zou_2022_CVPR, author = {Zou, Renjie and Song, Chunfeng and Zhang, Zhaoxiang}, title = {The Devil Is in the Details: Window-Based Attention for Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17492-17501} }

Category-Aware Transformer Network for Better Human-Object Interaction Detection

Leizhen Dong,

Zhimin Li,

Kunlun Xu,

Zhijun Zhang,

Luxin Yan,

Sheng Zhong,

Xu Zou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Leizhen and Li, Zhimin and Xu, Kunlun and Zhang, Zhijun and Yan, Luxin and Zhong, Sheng and Zou, Xu}, title = {Category-Aware Transformer Network for Better Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19538-19547} }

Deep Depth From Focus With Differential Focus Volume

Fengting Yang,

Xiaolei Huang,

Zihan Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Fengting and Huang, Xiaolei and Zhou, Zihan}, title = {Deep Depth From Focus With Differential Focus Volume}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12642-12651} }

DiLiGenT102: A Photometric Stereo Benchmark Dataset With Controlled Shape and Material Variation

Jieji Ren,

Feishi Wang,

Jiahao Zhang,

Qian Zheng,

Mingjun Ren,

Boxin Shi

[pdf] [supp]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Jieji and Wang, Feishi and Zhang, Jiahao and Zheng, Qian and Ren, Mingjun and Shi, Boxin}, title = {DiLiGenT102: A Photometric Stereo Benchmark Dataset With Controlled Shape and Material Variation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12581-12590} }

Robust Fine-Tuning of Zero-Shot Models

Mitchell Wortsman,

Gabriel Ilharco,

Jong Wook Kim,

Mike Li,

Simon Kornblith,

Rebecca Roelofs,

Raphael Gontijo Lopes,

Hannaneh Hajishirzi,

Ali Farhadi,

Hongseok Namkoong,

Ludwig Schmidt

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wortsman_2022_CVPR, author = {Wortsman, Mitchell and Ilharco, Gabriel and Kim, Jong Wook and Li, Mike and Kornblith, Simon and Roelofs, Rebecca and Lopes, Raphael Gontijo and Hajishirzi, Hannaneh and Farhadi, Ali and Namkoong, Hongseok and Schmidt, Ludwig}, title = {Robust Fine-Tuning of Zero-Shot Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7959-7971} }

Towards Data-Free Model Stealing in a Hard Label Setting

Sunandini Sanyal,

Sravanti Addepalli,

R. Venkatesh Babu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sanyal_2022_CVPR, author = {Sanyal, Sunandini and Addepalli, Sravanti and Babu, R. Venkatesh}, title = {Towards Data-Free Model Stealing in a Hard Label Setting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15284-15293} }

PolyWorld: Polygonal Building Extraction With Graph Neural Networks in Satellite Images

Stefano Zorzi,

Shabab Bazrafkan,

Stefan Habenschuss,

Friedrich Fraundorfer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zorzi_2022_CVPR, author = {Zorzi, Stefano and Bazrafkan, Shabab and Habenschuss, Stefan and Fraundorfer, Friedrich}, title = {PolyWorld: Polygonal Building Extraction With Graph Neural Networks in Satellite Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1848-1857} }

GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings

Zhaohua Zheng,

Jianfang Li,

Lingjie Zhu,

Honghua Li,

Frank Petzold,

Ping Tan

[pdf] [supp]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Zhaohua and Li, Jianfang and Zhu, Lingjie and Li, Honghua and Petzold, Frank and Tan, Ping}, title = {GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11747-11756} }

Multi-Granularity Alignment Domain Adaptation for Object Detection

Wenzhang Zhou,

Dawei Du,

Libo Zhang,

Tiejian Luo,

Yanjun Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2022_CVPR, author = {Zhou, Wenzhang and Du, Dawei and Zhang, Libo and Luo, Tiejian and Wu, Yanjun}, title = {Multi-Granularity Alignment Domain Adaptation for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9581-9590} }

LARGE: Latent-Based Regression Through GAN Semantics

Yotam Nitzan,

Rinon Gal,

Ofir Brenner,

Daniel Cohen-Or

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nitzan_2022_CVPR, author = {Nitzan, Yotam and Gal, Rinon and Brenner, Ofir and Cohen-Or, Daniel}, title = {LARGE: Latent-Based Regression Through GAN Semantics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19239-19249} }

Are Multimodal Transformers Robust to Missing Modality?

Mengmeng Ma,

Jian Ren,

Long Zhao,

Davide Testuggine,

Xi Peng

[pdf] [arXiv]

[bibtex]

@InProceedings{Ma_2022_CVPR, author = {Ma, Mengmeng and Ren, Jian and Zhao, Long and Testuggine, Davide and Peng, Xi}, title = {Are Multimodal Transformers Robust to Missing Modality?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18177-18186} }

Degradation-Agnostic Correspondence From Resolution-Asymmetric Stereo

Xihao Chen,

Zhiwei Xiong,

Zhen Cheng,

Jiayong Peng,

Yueyi Zhang,

Zheng-Jun Zha

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Xihao and Xiong, Zhiwei and Cheng, Zhen and Peng, Jiayong and Zhang, Yueyi and Zha, Zheng-Jun}, title = {Degradation-Agnostic Correspondence From Resolution-Asymmetric Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12962-12971} }

Fisher Information Guidance for Learned Time-of-Flight Imaging

Jiaqu Li,

Tao Yue,

Sijie Zhao,

Xuemei Hu

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jiaqu and Yue, Tao and Zhao, Sijie and Hu, Xuemei}, title = {Fisher Information Guidance for Learned Time-of-Flight Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16334-16343} }

VRDFormer: End-to-End Video Visual Relation Detection With Transformers

Sipeng Zheng,

Shizhe Chen,

Qin Jin

[pdf] [supp]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Sipeng and Chen, Shizhe and Jin, Qin}, title = {VRDFormer: End-to-End Video Visual Relation Detection With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18836-18846} }

Robust Federated Learning With Noisy and Heterogeneous Clients

Xiuwen Fang,

Mang Ye

[pdf] [supp]

[bibtex]

@InProceedings{Fang_2022_CVPR, author = {Fang, Xiuwen and Ye, Mang}, title = {Robust Federated Learning With Noisy and Heterogeneous Clients}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10072-10081} }

Enabling Equivariance for Arbitrary Lie Groups

Lachlan E. MacDonald,

Sameera Ramasinghe,

Simon Lucey

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{MacDonald_2022_CVPR, author = {MacDonald, Lachlan E. and Ramasinghe, Sameera and Lucey, Simon}, title = {Enabling Equivariance for Arbitrary Lie Groups}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8183-8192} }

Unbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors

Yen-Cheng Liu,

Chih-Yao Ma,

Zsolt Kira

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yen-Cheng and Ma, Chih-Yao and Kira, Zsolt}, title = {Unbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9819-9828} }

GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision

Chiang-Heng Chien,

Hongyi Fan,

Ahmad Abdelfattah,

Elias Tsigaridas,

Stanimire Tomov,

Benjamin Kimia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chien_2022_CVPR, author = {Chien, Chiang-Heng and Fan, Hongyi and Abdelfattah, Ahmad and Tsigaridas, Elias and Tomov, Stanimire and Kimia, Benjamin}, title = {GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15765-15776} }

Learning Pixel-Level Distinctions for Video Highlight Detection

Fanyue Wei,

Biao Wang,

Tiezheng Ge,

Yuning Jiang,

Wen Li,

Lixin Duan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wei_2022_CVPR, author = {Wei, Fanyue and Wang, Biao and Ge, Tiezheng and Jiang, Yuning and Li, Wen and Duan, Lixin}, title = {Learning Pixel-Level Distinctions for Video Highlight Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3073-3082} }

Noise Distribution Adaptive Self-Supervised Image Denoising Using Tweedie Distribution and Score Matching

Kwanyoung Kim,

Taesung Kwon,

Jong Chul Ye

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Kwanyoung and Kwon, Taesung and Ye, Jong Chul}, title = {Noise Distribution Adaptive Self-Supervised Image Denoising Using Tweedie Distribution and Score Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2008-2016} }

Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation

Yihan Wang,

Muyang Li,

Han Cai,

Wei-Ming Chen,

Song Han

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yihan and Li, Muyang and Cai, Han and Chen, Wei-Ming and Han, Song}, title = {Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13126-13136} }

Boosting Black-Box Attack With Partially Transferred Conditional Adversarial Distribution

Yan Feng,

Baoyuan Wu,

Yanbo Fan,

Li Liu,

Zhifeng Li,

Shu-Tao Xia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Feng_2022_CVPR, author = {Feng, Yan and Wu, Baoyuan and Fan, Yanbo and Liu, Li and Li, Zhifeng and Xia, Shu-Tao}, title = {Boosting Black-Box Attack With Partially Transferred Conditional Adversarial Distribution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15095-15104} }

CLIPstyler: Image Style Transfer With a Single Text Condition

Gihyun Kwon,

Jong Chul Ye

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kwon_2022_CVPR, author = {Kwon, Gihyun and Ye, Jong Chul}, title = {CLIPstyler: Image Style Transfer With a Single Text Condition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18062-18071} }

Ray Priors Through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation

Jian Zhang,

Yuanqing Zhang,

Huan Fu,

Xiaowei Zhou,

Bowen Cai,

Jinchi Huang,

Rongfei Jia,

Binqiang Zhao,

Xing Tang

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jian and Zhang, Yuanqing and Fu, Huan and Zhou, Xiaowei and Cai, Bowen and Huang, Jinchi and Jia, Rongfei and Zhao, Binqiang and Tang, Xing}, title = {Ray Priors Through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18376-18386} }

Spatio-Temporal Relation Modeling for Few-Shot Action Recognition

Anirudh Thatipelli,

Sanath Narayan,

Salman Khan,

Rao Muhammad Anwer,

Fahad Shahbaz Khan,

Bernard Ghanem

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Thatipelli_2022_CVPR, author = {Thatipelli, Anirudh and Narayan, Sanath and Khan, Salman and Anwer, Rao Muhammad and Khan, Fahad Shahbaz and Ghanem, Bernard}, title = {Spatio-Temporal Relation Modeling for Few-Shot Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19958-19967} }

Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian

Jihyun Lee,

Minhyuk Sung,

Hyunjin Kim,

Tae-Kyun Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Jihyun and Sung, Minhyuk and Kim, Hyunjin and Kim, Tae-Kyun}, title = {Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18532-18541} }

Volumetric Bundle Adjustment for Online Photorealistic Scene Capture

Ronald Clark

[pdf] [supp]

[bibtex]

@InProceedings{Clark_2022_CVPR, author = {Clark, Ronald}, title = {Volumetric Bundle Adjustment for Online Photorealistic Scene Capture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6124-6132} }

Multi-Person Extreme Motion Prediction

Wen Guo,

Xiaoyu Bie,

Xavier Alameda-Pineda,

Francesc Moreno-Noguer

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Wen and Bie, Xiaoyu and Alameda-Pineda, Xavier and Moreno-Noguer, Francesc}, title = {Multi-Person Extreme Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13053-13064} }

Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network

Byung-Kwan Lee,

Junho Kim,

Yong Man Ro

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Byung-Kwan and Kim, Junho and Ro, Yong Man}, title = {Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15126-15136} }

Channel Balancing for Accurate Quantization of Winograd Convolutions

Vladimir Chikin,

Vladimir Kryzhanovskiy

[pdf] [supp]

[bibtex]

@InProceedings{Chikin_2022_CVPR, author = {Chikin, Vladimir and Kryzhanovskiy, Vladimir}, title = {Channel Balancing for Accurate Quantization of Winograd Convolutions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12507-12516} }

RegNeRF: Regularizing Neural Radiance Fields for View Synthesis From Sparse Inputs

Michael Niemeyer,

Jonathan T. Barron,

Ben Mildenhall,

Mehdi S. M. Sajjadi,

Andreas Geiger,

Noha Radwan

[pdf] [arXiv]

[bibtex]

@InProceedings{Niemeyer_2022_CVPR, author = {Niemeyer, Michael and Barron, Jonathan T. and Mildenhall, Ben and Sajjadi, Mehdi S. M. and Geiger, Andreas and Radwan, Noha}, title = {RegNeRF: Regularizing Neural Radiance Fields for View Synthesis From Sparse Inputs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5480-5490} }

Structured Local Radiance Fields for Human Avatar Modeling

Zerong Zheng,

Han Huang,

Tao Yu,

Hongwen Zhang,

Yandong Guo,

Yebin Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Zerong and Huang, Han and Yu, Tao and Zhang, Hongwen and Guo, Yandong and Liu, Yebin}, title = {Structured Local Radiance Fields for Human Avatar Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15893-15903} }

Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation

Jing Li,

Junsong Fan,

Zhaoxiang Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jing and Fan, Junsong and Zhang, Zhaoxiang}, title = {Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16856-16865} }

Ranking-Based Siamese Visual Tracking

Feng Tang,

Qiang Ling

[pdf] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Feng and Ling, Qiang}, title = {Ranking-Based Siamese Visual Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8741-8750} }

Learnable Lookup Table for Neural Network Quantization

Longguang Wang,

Xiaoyu Dong,

Yingqian Wang,

Li Liu,

Wei An,

Yulan Guo

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Longguang and Dong, Xiaoyu and Wang, Yingqian and Liu, Li and An, Wei and Guo, Yulan}, title = {Learnable Lookup Table for Neural Network Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12423-12433} }

SEEG: Semantic Energized Co-Speech Gesture Generation

Yuanzhi Liang,

Qianyu Feng,

Linchao Zhu,

Li Hu,

Pan Pan,

Yi Yang

[pdf] [supp]

[bibtex]

@InProceedings{Liang_2022_CVPR, author = {Liang, Yuanzhi and Feng, Qianyu and Zhu, Linchao and Hu, Li and Pan, Pan and Yang, Yi}, title = {SEEG: Semantic Energized Co-Speech Gesture Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10473-10482} }

AdaViT: Adaptive Vision Transformers for Efficient Image Recognition

Lingchen Meng,

Hengduo Li,

Bor-Chun Chen,

Shiyi Lan,

Zuxuan Wu,

Yu-Gang Jiang,

Ser-Nam Lim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Meng_2022_CVPR, author = {Meng, Lingchen and Li, Hengduo and Chen, Bor-Chun and Lan, Shiyi and Wu, Zuxuan and Jiang, Yu-Gang and Lim, Ser-Nam}, title = {AdaViT: Adaptive Vision Transformers for Efficient Image Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12309-12318} }

Compound Domain Generalization via Meta-Knowledge Encoding

Chaoqi Chen,

Jiongcheng Li,

Xiaoguang Han,

Xiaoqing Liu,

Yizhou Yu

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Chaoqi and Li, Jiongcheng and Han, Xiaoguang and Liu, Xiaoqing and Yu, Yizhou}, title = {Compound Domain Generalization via Meta-Knowledge Encoding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7119-7129} }

NAN: Noise-Aware NeRFs for Burst-Denoising

Naama Pearl,

Tali Treibitz,

Simon Korman

[pdf] [arXiv]

[bibtex]

@InProceedings{Pearl_2022_CVPR, author = {Pearl, Naama and Treibitz, Tali and Korman, Simon}, title = {NAN: Noise-Aware NeRFs for Burst-Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12672-12681} }

Physical Inertial Poser (PIP): Physics-Aware Real-Time Human Motion Tracking From Sparse Inertial Sensors

Xinyu Yi,

Yuxiao Zhou,

Marc Habermann,

Soshi Shimada,

Vladislav Golyanik,

Christian Theobalt,

Feng Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yi_2022_CVPR, author = {Yi, Xinyu and Zhou, Yuxiao and Habermann, Marc and Shimada, Soshi and Golyanik, Vladislav and Theobalt, Christian and Xu, Feng}, title = {Physical Inertial Poser (PIP): Physics-Aware Real-Time Human Motion Tracking From Sparse Inertial Sensors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13167-13178} }

b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search

Peng Ye,

Baopu Li,

Yikang Li,

Tao Chen,

Jiayuan Fan,

Wanli Ouyang

[pdf] [supp]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Peng and Li, Baopu and Li, Yikang and Chen, Tao and Fan, Jiayuan and Ouyang, Wanli}, title = {b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10874-10883} }

Vector Quantized Diffusion Model for Text-to-Image Synthesis

Shuyang Gu,

Dong Chen,

Jianmin Bao,

Fang Wen,

Bo Zhang,

Dongdong Chen,

Lu Yuan,

Baining Guo

[pdf] [arXiv]

[bibtex]

@InProceedings{Gu_2022_CVPR, author = {Gu, Shuyang and Chen, Dong and Bao, Jianmin and Wen, Fang and Zhang, Bo and Chen, Dongdong and Yuan, Lu and Guo, Baining}, title = {Vector Quantized Diffusion Model for Text-to-Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10696-10706} }

CMT: Convolutional Neural Networks Meet Vision Transformers

Jianyuan Guo,

Kai Han,

Han Wu,

Yehui Tang,

Xinghao Chen,

Yunhe Wang,

Chang Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Jianyuan and Han, Kai and Wu, Han and Tang, Yehui and Chen, Xinghao and Wang, Yunhe and Xu, Chang}, title = {CMT: Convolutional Neural Networks Meet Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12175-12185} }

Hyperspherical Consistency Regularization

Cheng Tan,

Zhangyang Gao,

Lirong Wu,

Siyuan Li,

Stan Z. Li

[pdf] [arXiv]

[bibtex]

@InProceedings{Tan_2022_CVPR, author = {Tan, Cheng and Gao, Zhangyang and Wu, Lirong and Li, Siyuan and Li, Stan Z.}, title = {Hyperspherical Consistency Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7244-7255} }

Unsupervised Image-to-Image Translation With Generative Prior

Shuai Yang,

Liming Jiang,

Ziwei Liu,

Chen Change Loy

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Shuai and Jiang, Liming and Liu, Ziwei and Loy, Chen Change}, title = {Unsupervised Image-to-Image Translation With Generative Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18332-18341} }

KNN Local Attention for Image Restoration

Hunsang Lee,

Hyesong Choi,

Kwanghoon Sohn,

Dongbo Min

[pdf] [supp]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Hunsang and Choi, Hyesong and Sohn, Kwanghoon and Min, Dongbo}, title = {KNN Local Attention for Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2139-2149} }

Face Relighting With Geometrically Consistent Shadows

Andrew Hou,

Michel Sarkis,

Ning Bi,

Yiying Tong,

Xiaoming Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hou_2022_CVPR, author = {Hou, Andrew and Sarkis, Michel and Bi, Ning and Tong, Yiying and Liu, Xiaoming}, title = {Face Relighting With Geometrically Consistent Shadows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4217-4226} }

Open-Set Text Recognition via Character-Context Decoupling

Chang Liu,

Chun Yang,

Xu-Cheng Yin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Chang and Yang, Chun and Yin, Xu-Cheng}, title = {Open-Set Text Recognition via Character-Context Decoupling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4523-4532} }

Multi-Marginal Contrastive Learning for Multi-Label Subcellular Protein Localization

Ziyi Liu,

Zengmao Wang,

Bo Du

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Ziyi and Wang, Zengmao and Du, Bo}, title = {Multi-Marginal Contrastive Learning for Multi-Label Subcellular Protein Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20626-20635} }

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

Prune Truong,

Martin Danelljan,

Fisher Yu,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Truong_2022_CVPR, author = {Truong, Prune and Danelljan, Martin and Yu, Fisher and Van Gool, Luc}, title = {Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8708-8718} }

Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model

Zipeng Xu,

Tianwei Lin,

Hao Tang,

Fu Li,

Dongliang He,

Nicu Sebe,

Radu Timofte,

Luc Van Gool,

Errui Ding

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Zipeng and Lin, Tianwei and Tang, Hao and Li, Fu and He, Dongliang and Sebe, Nicu and Timofte, Radu and Van Gool, Luc and Ding, Errui}, title = {Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18229-18238} }

Optimizing Elimination Templates by Greedy Parameter Search

Evgeniy Martyushev,

Jana Vráblíková,

Tomas Pajdla

[pdf] [supp]

[bibtex]

@InProceedings{Martyushev_2022_CVPR, author = {Martyushev, Evgeniy and Vr\'abl{\'\i}kov\'a, Jana and Pajdla, Tomas}, title = {Optimizing Elimination Templates by Greedy Parameter Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15754-15764} }

TransMix: Attend To Mix for Vision Transformers

Jie-Neng Chen,

Shuyang Sun,

Ju He,

Philip H.S. Torr,

Alan Yuille,

Song Bai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Jie-Neng and Sun, Shuyang and He, Ju and Torr, Philip H.S. and Yuille, Alan and Bai, Song}, title = {TransMix: Attend To Mix for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12135-12144} }

HOP: History-and-Order Aware Pre-Training for Vision-and-Language Navigation

Yanyuan Qiao,

Yuankai Qi,

Yicong Hong,

Zheng Yu,

Peng Wang,

Qi Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Qiao_2022_CVPR, author = {Qiao, Yanyuan and Qi, Yuankai and Hong, Yicong and Yu, Zheng and Wang, Peng and Wu, Qi}, title = {HOP: History-and-Order Aware Pre-Training for Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15418-15427} }

Inertia-Guided Flow Completion and Style Fusion for Video Inpainting

Kaidong Zhang,

Jingjing Fu,

Dong Liu

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Kaidong and Fu, Jingjing and Liu, Dong}, title = {Inertia-Guided Flow Completion and Style Fusion for Video Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5982-5991} }

RU-Net: Regularized Unrolling Network for Scene Graph Generation

Xin Lin,

Changxing Ding,

Jing Zhang,

Yibing Zhan,

Dacheng Tao

[pdf] [supp]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Xin and Ding, Changxing and Zhang, Jing and Zhan, Yibing and Tao, Dacheng}, title = {RU-Net: Regularized Unrolling Network for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19457-19466} }

Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment

Mengke Li,

Yiu-ming Cheung,

Yang Lu

[pdf]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Mengke and Cheung, Yiu-ming and Lu, Yang}, title = {Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6929-6938} }

Image Animation With Perturbed Masks

Yoav Shalev,

Lior Wolf

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shalev_2022_CVPR, author = {Shalev, Yoav and Wolf, Lior}, title = {Image Animation With Perturbed Masks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3647-3656} }

Exploring the Equivalence of Siamese Self-Supervised Learning via a Unified Gradient Framework

Chenxin Tao,

Honghui Wang,

Xizhou Zhu,

Jiahua Dong,

Shiji Song,

Gao Huang,

Jifeng Dai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tao_2022_CVPR, author = {Tao, Chenxin and Wang, Honghui and Zhu, Xizhou and Dong, Jiahua and Song, Shiji and Huang, Gao and Dai, Jifeng}, title = {Exploring the Equivalence of Siamese Self-Supervised Learning via a Unified Gradient Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14431-14440} }

Point Density-Aware Voxels for LiDAR 3D Object Detection

Jordan S. K. Hu,

Tianshu Kuai,

Steven L. Waslander

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Jordan S. K. and Kuai, Tianshu and Waslander, Steven L.}, title = {Point Density-Aware Voxels for LiDAR 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8469-8478} }

Integrating Language Guidance Into Vision-Based Deep Metric Learning

Karsten Roth,

Oriol Vinyals,

Zeynep Akata

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Roth_2022_CVPR, author = {Roth, Karsten and Vinyals, Oriol and Akata, Zeynep}, title = {Integrating Language Guidance Into Vision-Based Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16177-16189} }

PartGlot: Learning Shape Part Segmentation From Language Reference Games

Juil Koo,

Ian Huang,

Panos Achlioptas,

Leonidas J. Guibas,

Minhyuk Sung

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Koo_2022_CVPR, author = {Koo, Juil and Huang, Ian and Achlioptas, Panos and Guibas, Leonidas J. and Sung, Minhyuk}, title = {PartGlot: Learning Shape Part Segmentation From Language Reference Games}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16505-16514} }

Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing

Zhuo Wang,

Zezheng Wang,

Zitong Yu,

Weihong Deng,

Jiahong Li,

Tingting Gao,

Zhongyuan Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhuo and Wang, Zezheng and Yu, Zitong and Deng, Weihong and Li, Jiahong and Gao, Tingting and Wang, Zhongyuan}, title = {Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4123-4133} }

A Simple Episodic Linear Probe Improves Visual Recognition in the Wild

Yuanzhi Liang,

Linchao Zhu,

Xiaohan Wang,

Yi Yang

[pdf] [supp]

[bibtex]

@InProceedings{Liang_2022_CVPR, author = {Liang, Yuanzhi and Zhu, Linchao and Wang, Xiaohan and Yang, Yi}, title = {A Simple Episodic Linear Probe Improves Visual Recognition in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9559-9569} }

Matching Feature Sets for Few-Shot Image Classification

Arman Afrasiyabi,

Hugo Larochelle,

Jean-François Lalonde,

Christian Gagné

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Afrasiyabi_2022_CVPR, author = {Afrasiyabi, Arman and Larochelle, Hugo and Lalonde, Jean-Fran\c{c}ois and Gagn\'e, Christian}, title = {Matching Feature Sets for Few-Shot Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9014-9024} }

DIVeR: Real-Time and Accurate Neural Radiance Fields With Deterministic Integration for Volume Rendering

Liwen Wu,

Jae Yong Lee,

Anand Bhattad,

Yu-Xiong Wang,

David Forsyth

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Liwen and Lee, Jae Yong and Bhattad, Anand and Wang, Yu-Xiong and Forsyth, David}, title = {DIVeR: Real-Time and Accurate Neural Radiance Fields With Deterministic Integration for Volume Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16200-16209} }

Enhancing Classifier Conservativeness and Robustness by Polynomiality

Ziqi Wang,

Marco Loog

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Ziqi and Loog, Marco}, title = {Enhancing Classifier Conservativeness and Robustness by Polynomiality}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13327-13336} }

Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization

Luke Melas-Kyriazi,

Christian Rupprecht,

Iro Laina,

Andrea Vedaldi

[pdf] [supp]

[bibtex]

@InProceedings{Melas-Kyriazi_2022_CVPR, author = {Melas-Kyriazi, Luke and Rupprecht, Christian and Laina, Iro and Vedaldi, Andrea}, title = {Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8364-8375} }

OcclusionFusion: Occlusion-Aware Motion Estimation for Real-Time Dynamic 3D Reconstruction

Wenbin Lin,

Chengwei Zheng,

Jun-Hai Yong,

Feng Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2022_CVPR, author = {Lin, Wenbin and Zheng, Chengwei and Yong, Jun-Hai and Xu, Feng}, title = {OcclusionFusion: Occlusion-Aware Motion Estimation for Real-Time Dynamic 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1736-1745} }

ContIG: Self-Supervised Multimodal Contrastive Learning for Medical Imaging With Genetics

Aiham Taleb,

Matthias Kirchler,

Remo Monti,

Christoph Lippert

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Taleb_2022_CVPR, author = {Taleb, Aiham and Kirchler, Matthias and Monti, Remo and Lippert, Christoph}, title = {ContIG: Self-Supervised Multimodal Contrastive Learning for Medical Imaging With Genetics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20908-20921} }

Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective

Jiawei Zhang,

Xiang Wang,

Xiao Bai,

Chen Wang,

Lei Huang,

Yimin Chen,

Lin Gu,

Jun Zhou,

Tatsuya Harada,

Edwin R. Hancock

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jiawei and Wang, Xiang and Bai, Xiao and Wang, Chen and Huang, Lei and Chen, Yimin and Gu, Lin and Zhou, Jun and Harada, Tatsuya and Hancock, Edwin R.}, title = {Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13001-13011} }

MonoScene: Monocular 3D Semantic Scene Completion

Anh-Quan Cao,

Raoul de Charette

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Anh-Quan and de Charette, Raoul}, title = {MonoScene: Monocular 3D Semantic Scene Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3991-4001} }

TubeFormer-DeepLab: Video Mask Transformer

Dahun Kim,

Jun Xie,

Huiyu Wang,

Siyuan Qiao,

Qihang Yu,

Hong-Seok Kim,

Hartwig Adam,

In So Kweon,

Liang-Chieh Chen

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Dahun and Xie, Jun and Wang, Huiyu and Qiao, Siyuan and Yu, Qihang and Kim, Hong-Seok and Adam, Hartwig and Kweon, In So and Chen, Liang-Chieh}, title = {TubeFormer-DeepLab: Video Mask Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13914-13924} }

XMP-Font: Self-Supervised Cross-Modality Pre-Training for Few-Shot Font Generation

Wei Liu,

Fangyue Liu,

Fei Ding,

Qian He,

Zili Yi

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Wei and Liu, Fangyue and Ding, Fei and He, Qian and Yi, Zili}, title = {XMP-Font: Self-Supervised Cross-Modality Pre-Training for Few-Shot Font Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7905-7914} }

Disentangling Visual and Written Concepts in CLIP

Joanna Materzyńska,

Antonio Torralba,

David Bau

[pdf]

[bibtex]

@InProceedings{Materzynska_2022_CVPR, author = {Materzy\'nska, Joanna and Torralba, Antonio and Bau, David}, title = {Disentangling Visual and Written Concepts in CLIP}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16410-16419} }

Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction

Christiane Sommer,

Lu Sang,

David Schubert,

Daniel Cremers

[pdf] [supp]

[bibtex]

@InProceedings{Sommer_2022_CVPR, author = {Sommer, Christiane and Sang, Lu and Schubert, David and Cremers, Daniel}, title = {Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6280-6289} }

Bilateral Video Magnification Filter

Shoichiro Takeda,

Kenta Niwa,

Mariko Isogawa,

Shinya Shimizu,

Kazuki Okami,

Yushi Aono

[pdf] [supp]

[bibtex]

@InProceedings{Takeda_2022_CVPR, author = {Takeda, Shoichiro and Niwa, Kenta and Isogawa, Mariko and Shimizu, Shinya and Okami, Kazuki and Aono, Yushi}, title = {Bilateral Video Magnification Filter}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17369-17378} }

AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition

Yulin Wang,

Yang Yue,

Yuanze Lin,

Haojun Jiang,

Zihang Lai,

Victor Kulikov,

Nikita Orlov,

Humphrey Shi,

Gao Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yulin and Yue, Yang and Lin, Yuanze and Jiang, Haojun and Lai, Zihang and Kulikov, Victor and Orlov, Nikita and Shi, Humphrey and Huang, Gao}, title = {AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20062-20072} }

Localization Distillation for Dense Object Detection

Zhaohui Zheng,

Rongguang Ye,

Ping Wang,

Dongwei Ren,

Wangmeng Zuo,

Qibin Hou,

Ming-Ming Cheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Zhaohui and Ye, Rongguang and Wang, Ping and Ren, Dongwei and Zuo, Wangmeng and Hou, Qibin and Cheng, Ming-Ming}, title = {Localization Distillation for Dense Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9407-9416} }

What's in Your Hands? 3D Reconstruction of Generic Objects in Hands

Yufei Ye,

Abhinav Gupta,

Shubham Tulsiani

[pdf] [supp]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Yufei and Gupta, Abhinav and Tulsiani, Shubham}, title = {What's in Your Hands? 3D Reconstruction of Generic Objects in Hands}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3895-3905} }

Continuous Scene Representations for Embodied AI

Samir Yitzhak Gadre,

Kiana Ehsani,

Shuran Song,

Roozbeh Mottaghi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gadre_2022_CVPR, author = {Gadre, Samir Yitzhak and Ehsani, Kiana and Song, Shuran and Mottaghi, Roozbeh}, title = {Continuous Scene Representations for Embodied AI}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14849-14859} }

Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

Chaoda Zheng,

Xu Yan,

Haiming Zhang,

Baoyuan Wang,

Shenghui Cheng,

Shuguang Cui,

Zhen Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Chaoda and Yan, Xu and Zhang, Haiming and Wang, Baoyuan and Cheng, Shenghui and Cui, Shuguang and Li, Zhen}, title = {Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8111-8120} }

Neural Mean Discrepancy for Efficient Out-of-Distribution Detection

Xin Dong,

Junfeng Guo,

Ang Li,

Wei-Te Ting,

Cong Liu,

H.T. Kung

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Xin and Guo, Junfeng and Li, Ang and Ting, Wei-Te and Liu, Cong and Kung, H.T.}, title = {Neural Mean Discrepancy for Efficient Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19217-19227} }

Non-Probability Sampling Network for Stochastic Human Trajectory Prediction

Inhwan Bae,

Jin-Hwi Park,

Hae-Gon Jeon

[pdf] [arXiv]

[bibtex]

@InProceedings{Bae_2022_CVPR, author = {Bae, Inhwan and Park, Jin-Hwi and Jeon, Hae-Gon}, title = {Non-Probability Sampling Network for Stochastic Human Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6477-6487} }

Marginal Contrastive Correspondence for Guided Image Generation

Fangneng Zhan,

Yingchen Yu,

Rongliang Wu,

Jiahui Zhang,

Shijian Lu,

Changgong Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhan_2022_CVPR, author = {Zhan, Fangneng and Yu, Yingchen and Wu, Rongliang and Zhang, Jiahui and Lu, Shijian and Zhang, Changgong}, title = {Marginal Contrastive Correspondence for Guided Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10663-10672} }

Complex Backdoor Detection by Symmetric Feature Differencing

Yingqi Liu,

Guangyu Shen,

Guanhong Tao,

Zhenting Wang,

Shiqing Ma,

Xiangyu Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yingqi and Shen, Guangyu and Tao, Guanhong and Wang, Zhenting and Ma, Shiqing and Zhang, Xiangyu}, title = {Complex Backdoor Detection by Symmetric Feature Differencing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15003-15013} }

Time Lens++: Event-Based Frame Interpolation With Parametric Non-Linear Flow and Multi-Scale Fusion

Stepan Tulyakov,

Alfredo Bochicchio,

Daniel Gehrig,

Stamatios Georgoulis,

Yuanyou Li,

Davide Scaramuzza

[pdf] [supp]

[bibtex]

@InProceedings{Tulyakov_2022_CVPR, author = {Tulyakov, Stepan and Bochicchio, Alfredo and Gehrig, Daniel and Georgoulis, Stamatios and Li, Yuanyou and Scaramuzza, Davide}, title = {Time Lens++: Event-Based Frame Interpolation With Parametric Non-Linear Flow and Multi-Scale Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17755-17764} }

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning

Jingtao Li,

Adnan Siraj Rakin,

Xing Chen,

Zhezhi He,

Deliang Fan,

Chaitali Chakrabarti

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jingtao and Rakin, Adnan Siraj and Chen, Xing and He, Zhezhi and Fan, Deliang and Chakrabarti, Chaitali}, title = {ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10194-10202} }

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks

Yufei Guo,

Xinyi Tong,

Yuanpei Chen,

Liwen Zhang,

Xiaode Liu,

Zhe Ma,

Xuhui Huang

[pdf]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Yufei and Tong, Xinyi and Chen, Yuanpei and Zhang, Liwen and Liu, Xiaode and Ma, Zhe and Huang, Xuhui}, title = {RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {326-335} }

Human-Aware Object Placement for Visual Environment Reconstruction

Hongwei Yi,

Chun-Hao P. Huang,

Dimitrios Tzionas,

Muhammed Kocabas,

Mohamed Hassan,

Siyu Tang,

Justus Thies,

Michael J. Black

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yi_2022_CVPR, author = {Yi, Hongwei and Huang, Chun-Hao P. and Tzionas, Dimitrios and Kocabas, Muhammed and Hassan, Mohamed and Tang, Siyu and Thies, Justus and Black, Michael J.}, title = {Human-Aware Object Placement for Visual Environment Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3959-3970} }

X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval

Satya Krishna Gorti,

Noël Vouitsis,

Junwei Ma,

Keyvan Golestan,

Maksims Volkovs,

Animesh Garg,

Guangwei Yu

[pdf] [supp]

[bibtex]

@InProceedings{Gorti_2022_CVPR, author = {Gorti, Satya Krishna and Vouitsis, No\"el and Ma, Junwei and Golestan, Keyvan and Volkovs, Maksims and Garg, Animesh and Yu, Guangwei}, title = {X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5006-5015} }

Learning of Global Objective for Network Flow in Multi-Object Tracking

Shuai Li,

Yu Kong,

Hamid Rezatofighi

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Shuai and Kong, Yu and Rezatofighi, Hamid}, title = {Learning of Global Objective for Network Flow in Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8855-8865} }

Towards Weakly-Supervised Text Spotting Using a Multi-Task Transformer

Yair Kittenplon,

Inbal Lavi,

Sharon Fogel,

Yarin Bar,

R. Manmatha,

Pietro Perona

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kittenplon_2022_CVPR, author = {Kittenplon, Yair and Lavi, Inbal and Fogel, Sharon and Bar, Yarin and Manmatha, R. and Perona, Pietro}, title = {Towards Weakly-Supervised Text Spotting Using a Multi-Task Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4604-4613} }

Gated2Gated: Self-Supervised Depth Estimation From Gated Images

Amanpreet Walia,

Stefanie Walz,

Mario Bijelic,

Fahim Mannan,

Frank Julca-Aguilar,

Michael Langer,

Werner Ritter,

Felix Heide

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Walia_2022_CVPR, author = {Walia, Amanpreet and Walz, Stefanie and Bijelic, Mario and Mannan, Fahim and Julca-Aguilar, Frank and Langer, Michael and Ritter, Werner and Heide, Felix}, title = {Gated2Gated: Self-Supervised Depth Estimation From Gated Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2811-2821} }

RAMA: A Rapid Multicut Algorithm on GPU

Ahmed Abbas,

Paul Swoboda

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Abbas_2022_CVPR, author = {Abbas, Ahmed and Swoboda, Paul}, title = {RAMA: A Rapid Multicut Algorithm on GPU}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8193-8202} }

Adversarial Parametric Pose Prior

Andrey Davydov,

Anastasia Remizova,

Victor Constantin,

Sina Honari,

Mathieu Salzmann,

Pascal Fua

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Davydov_2022_CVPR, author = {Davydov, Andrey and Remizova, Anastasia and Constantin, Victor and Honari, Sina and Salzmann, Mathieu and Fua, Pascal}, title = {Adversarial Parametric Pose Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10997-11005} }

DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning

Zhen Zhao,

Luping Zhou,

Yue Duan,

Lei Wang,

Lei Qi,

Yinghuan Shi

[pdf] [supp]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Zhen and Zhou, Luping and Duan, Yue and Wang, Lei and Qi, Lei and Shi, Yinghuan}, title = {DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9757-9765} }

Mask Transfiner for High-Quality Instance Segmentation

Lei Ke,

Martin Danelljan,

Xia Li,

Yu-Wing Tai,

Chi-Keung Tang,

Fisher Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ke_2022_CVPR, author = {Ke, Lei and Danelljan, Martin and Li, Xia and Tai, Yu-Wing and Tang, Chi-Keung and Yu, Fisher}, title = {Mask Transfiner for High-Quality Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4412-4421} }

End-to-End Reconstruction-Classification Learning for Face Forgery Detection

Junyi Cao,

Chao Ma,

Taiping Yao,

Shen Chen,

Shouhong Ding,

Xiaokang Yang

[pdf] [supp]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Junyi and Ma, Chao and Yao, Taiping and Chen, Shen and Ding, Shouhong and Yang, Xiaokang}, title = {End-to-End Reconstruction-Classification Learning for Face Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4113-4122} }

It Is Okay To Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection

Youssef Mohamed,

Faizan Farooq Khan,

Kilichbek Haydarov,

Mohamed Elhoseiny

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mohamed_2022_CVPR, author = {Mohamed, Youssef and Khan, Faizan Farooq and Haydarov, Kilichbek and Elhoseiny, Mohamed}, title = {It Is Okay To Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21263-21272} }

Transferability Metrics for Selecting Source Model Ensembles

Andrea Agostinelli,

Jasper Uijlings,

Thomas Mensink,

Vittorio Ferrari

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Agostinelli_2022_CVPR, author = {Agostinelli, Andrea and Uijlings, Jasper and Mensink, Thomas and Ferrari, Vittorio}, title = {Transferability Metrics for Selecting Source Model Ensembles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7936-7946} }

Neural Global Shutter: Learn To Restore Video From a Rolling Shutter Camera With Global Reset Feature

Zhixiang Wang,

Xiang Ji,

Jia-Bin Huang,

Shin'ichi Satoh,

Xiao Zhou,

Yinqiang Zheng

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhixiang and Ji, Xiang and Huang, Jia-Bin and Satoh, Shin'ichi and Zhou, Xiao and Zheng, Yinqiang}, title = {Neural Global Shutter: Learn To Restore Video From a Rolling Shutter Camera With Global Reset Feature}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17794-17803} }

DiRA: Discriminative, Restorative, and Adversarial Learning for Self-Supervised Medical Image Analysis

Fatemeh Haghighi,

Mohammad Reza Hosseinzadeh Taher,

Michael B. Gotway,

Jianming Liang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Haghighi_2022_CVPR, author = {Haghighi, Fatemeh and Taher, Mohammad Reza Hosseinzadeh and Gotway, Michael B. and Liang, Jianming}, title = {DiRA: Discriminative, Restorative, and Adversarial Learning for Self-Supervised Medical Image Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20824-20834} }

Open Challenges in Deep Stereo: The Booster Dataset

Pierluigi Zama Ramirez,

Fabio Tosi,

Matteo Poggi,

Samuele Salti,

Stefano Mattoccia,

Luigi Di Stefano

[pdf] [supp]

[bibtex]

@InProceedings{Ramirez_2022_CVPR, author = {Ramirez, Pierluigi Zama and Tosi, Fabio and Poggi, Matteo and Salti, Samuele and Mattoccia, Stefano and Di Stefano, Luigi}, title = {Open Challenges in Deep Stereo: The Booster Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21168-21178} }

Location-Free Human Pose Estimation

Xixia Xu,

Yingguo Gao,

Ke Yan,

Xue Lin,

Qi Zou

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Xixia and Gao, Yingguo and Yan, Ke and Lin, Xue and Zou, Qi}, title = {Location-Free Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13137-13146} }

Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography

Jiaxiang Ren,

Kicheon Park,

Yingtian Pan,

Haibin Ling

[pdf] [arXiv]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Jiaxiang and Park, Kicheon and Pan, Yingtian and Ling, Haibin}, title = {Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20617-20625} }

Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects

Atsuhiro Noguchi,

Umar Iqbal,

Jonathan Tremblay,

Tatsuya Harada,

Orazio Gallo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Noguchi_2022_CVPR, author = {Noguchi, Atsuhiro and Iqbal, Umar and Tremblay, Jonathan and Harada, Tatsuya and Gallo, Orazio}, title = {Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3677-3687} }

PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking

Andreas Döring,

Di Chen,

Shanshan Zhang,

Bernt Schiele,

Jürgen Gall

[pdf] [supp]

[bibtex]

@InProceedings{Doring_2022_CVPR, author = {D\"oring, Andreas and Chen, Di and Zhang, Shanshan and Schiele, Bernt and Gall, J\"urgen}, title = {PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20963-20972} }

Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network

Lin Zhu,

Xiao Wang,

Yi Chang,

Jianing Li,

Tiejun Huang,

Yonghong Tian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Lin and Wang, Xiao and Chang, Yi and Li, Jianing and Huang, Tiejun and Tian, Yonghong}, title = {Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3594-3604} }

Efficient Maximal Coding Rate Reduction by Variational Forms

Christina Baek,

Ziyang Wu,

Kwan Ho Ryan Chan,

Tianjiao Ding,

Yi Ma,

Benjamin D. Haeffele

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Baek_2022_CVPR, author = {Baek, Christina and Wu, Ziyang and Chan, Kwan Ho Ryan and Ding, Tianjiao and Ma, Yi and Haeffele, Benjamin D.}, title = {Efficient Maximal Coding Rate Reduction by Variational Forms}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {500-508} }

Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions

Carlos A. Diaz-Ruiz,

Youya Xia,

Yurong You,

Jose Nino,

Junan Chen,

Josephine Monica,

Xiangyu Chen,

Katie Luo,

Yan Wang,

Marc Emond,

Wei-Lun Chao,

Bharath Hariharan,

Kilian Q. Weinberger,

Mark Campbell

[pdf] [supp]

[bibtex]

@InProceedings{Diaz-Ruiz_2022_CVPR, author = {Diaz-Ruiz, Carlos A. and Xia, Youya and You, Yurong and Nino, Jose and Chen, Junan and Monica, Josephine and Chen, Xiangyu and Luo, Katie and Wang, Yan and Emond, Marc and Chao, Wei-Lun and Hariharan, Bharath and Weinberger, Kilian Q. and Campbell, Mark}, title = {Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21383-21392} }

AutoLoss-GMS: Searching Generalized Margin-Based Softmax Loss Function for Person Re-Identification

Hongyang Gu,

Jianmin Li,

Guangyuan Fu,

Chifong Wong,

Xinghao Chen,

Jun Zhu

[pdf] [supp]

[bibtex]

@InProceedings{Gu_2022_CVPR, author = {Gu, Hongyang and Li, Jianmin and Fu, Guangyuan and Wong, Chifong and Chen, Xinghao and Zhu, Jun}, title = {AutoLoss-GMS: Searching Generalized Margin-Based Softmax Loss Function for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4744-4753} }

YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset

Donglai Wei,

Siddhant Kharbanda,

Sarthak Arora,

Roshan Roy,

Nishant Jain,

Akash Palrecha,

Tanav Shah,

Shray Mathur,

Ritik Mathur,

Abhijay Kemkar,

Anirudh Chakravarthy,

Zudi Lin,

Won-Dong Jang,

Yansong Tang,

Song Bai,

James Tompkin,

Philip H.S. Torr,

Hanspeter Pfister

[pdf]

[bibtex]

@InProceedings{Wei_2022_CVPR, author = {Wei, Donglai and Kharbanda, Siddhant and Arora, Sarthak and Roy, Roshan and Jain, Nishant and Palrecha, Akash and Shah, Tanav and Mathur, Shray and Mathur, Ritik and Kemkar, Abhijay and Chakravarthy, Anirudh and Lin, Zudi and Jang, Won-Dong and Tang, Yansong and Bai, Song and Tompkin, James and Torr, Philip H.S. and Pfister, Hanspeter}, title = {YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21044-21053} }

DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

Lukas Hoyer,

Dengxin Dai,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hoyer_2022_CVPR, author = {Hoyer, Lukas and Dai, Dengxin and Van Gool, Luc}, title = {DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9924-9935} }

Sound-Guided Semantic Image Manipulation

Seung Hyun Lee,

Wonseok Roh,

Wonmin Byeon,

Sang Ho Yoon,

Chanyoung Kim,

Jinkyu Kim,

Sangpil Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Seung Hyun and Roh, Wonseok and Byeon, Wonmin and Yoon, Sang Ho and Kim, Chanyoung and Kim, Jinkyu and Kim, Sangpil}, title = {Sound-Guided Semantic Image Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3377-3386} }

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

Jiangtao Xie,

Fei Long,

Jiaming Lv,

Qilong Wang,

Peihua Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Jiangtao and Long, Fei and Lv, Jiaming and Wang, Qilong and Li, Peihua}, title = {Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7972-7981} }

Proper Reuse of Image Classification Features Improves Object Detection

Cristina Vasconcelos,

Vighnesh Birodkar,

Vincent Dumoulin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Vasconcelos_2022_CVPR, author = {Vasconcelos, Cristina and Birodkar, Vighnesh and Dumoulin, Vincent}, title = {Proper Reuse of Image Classification Features Improves Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13628-13637} }

MetaPose: Fast 3D Pose From Multiple Views Without 3D Supervision

Ben Usman,

Andrea Tagliasacchi,

Kate Saenko,

Avneesh Sud

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Usman_2022_CVPR, author = {Usman, Ben and Tagliasacchi, Andrea and Saenko, Kate and Sud, Avneesh}, title = {MetaPose: Fast 3D Pose From Multiple Views Without 3D Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6759-6770} }

End-to-End Human-Gaze-Target Detection With Transformers

Danyang Tu,

Xiongkuo Min,

Huiyu Duan,

Guodong Guo,

Guangtao Zhai,

Wei Shen

[pdf] [arXiv]

[bibtex]

@InProceedings{Tu_2022_CVPR, author = {Tu, Danyang and Min, Xiongkuo and Duan, Huiyu and Guo, Guodong and Zhai, Guangtao and Shen, Wei}, title = {End-to-End Human-Gaze-Target Detection With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2202-2210} }

The Devil Is in the Pose: Ambiguity-Free 3D Rotation-Invariant Learning via Pose-Aware Convolution

Ronghan Chen,

Yang Cong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Ronghan and Cong, Yang}, title = {The Devil Is in the Pose: Ambiguity-Free 3D Rotation-Invariant Learning via Pose-Aware Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7472-7481} }

Compositional Temporal Grounding With Structured Variational Cross-Graph Correspondence Learning

Juncheng Li,

Junlin Xie,

Long Qian,

Linchao Zhu,

Siliang Tang,

Fei Wu,

Yi Yang,

Yueting Zhuang,

Xin Eric Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Juncheng and Xie, Junlin and Qian, Long and Zhu, Linchao and Tang, Siliang and Wu, Fei and Yang, Yi and Zhuang, Yueting and Wang, Xin Eric}, title = {Compositional Temporal Grounding With Structured Variational Cross-Graph Correspondence Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3032-3041} }

Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline

Pengyu Zhang,

Jie Zhao,

Dong Wang,

Huchuan Lu,

Xiang Ruan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Pengyu and Zhao, Jie and Wang, Dong and Lu, Huchuan and Ruan, Xiang}, title = {Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8886-8895} }

Future Transformer for Long-Term Action Anticipation

Dayoung Gong,

Joonseok Lee,

Manjin Kim,

Seong Jong Ha,

Minsu Cho

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gong_2022_CVPR, author = {Gong, Dayoung and Lee, Joonseok and Kim, Manjin and Ha, Seong Jong and Cho, Minsu}, title = {Future Transformer for Long-Term Action Anticipation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3052-3061} }

Optimal LED Spectral Multiplexing for NIR2RGB Translation

Lei Liu,

Yuze Chen,

Junchi Yan,

Yinqiang Zheng

[pdf]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Lei and Chen, Yuze and Yan, Junchi and Zheng, Yinqiang}, title = {Optimal LED Spectral Multiplexing for NIR2RGB Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12652-12660} }

Rethinking Spatial Invariance of Convolutional Networks for Object Counting

Zhi-Qi Cheng,

Qi Dai,

Hong Li,

Jingkuan Song,

Xiao Wu,

Alexander G. Hauptmann

[pdf]

[bibtex]

@InProceedings{Cheng_2022_CVPR, author = {Cheng, Zhi-Qi and Dai, Qi and Li, Hong and Song, Jingkuan and Wu, Xiao and Hauptmann, Alexander G.}, title = {Rethinking Spatial Invariance of Convolutional Networks for Object Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19638-19648} }

Self-Supervised Video Transformer

Kanchana Ranasinghe,

Muzammal Naseer,

Salman Khan,

Fahad Shahbaz Khan,

Michael S. Ryoo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ranasinghe_2022_CVPR, author = {Ranasinghe, Kanchana and Naseer, Muzammal and Khan, Salman and Khan, Fahad Shahbaz and Ryoo, Michael S.}, title = {Self-Supervised Video Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2874-2884} }

AutoRF: Learning 3D Object Radiance Fields From Single View Observations

Norman Müller,

Andrea Simonelli,

Lorenzo Porzi,

Samuel Rota Bulò,

Matthias Nießner,

Peter Kontschieder

[pdf] [supp]

[bibtex]

@InProceedings{Muller_2022_CVPR, author = {M\"uller, Norman and Simonelli, Andrea and Porzi, Lorenzo and Bul\`o, Samuel Rota and Nie{\ss}ner, Matthias and Kontschieder, Peter}, title = {AutoRF: Learning 3D Object Radiance Fields From Single View Observations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3971-3980} }

Expanding Large Pre-Trained Unimodal Models With Multimodal Information Injection for Image-Text Multimodal Classification

Tao Liang,

Guosheng Lin,

Mingyang Wan,

Tianrui Li,

Guojun Ma,

Fengmao Lv

[pdf]

[bibtex]

@InProceedings{Liang_2022_CVPR, author = {Liang, Tao and Lin, Guosheng and Wan, Mingyang and Li, Tianrui and Ma, Guojun and Lv, Fengmao}, title = {Expanding Large Pre-Trained Unimodal Models With Multimodal Information Injection for Image-Text Multimodal Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15492-15501} }

Neural RGB-D Surface Reconstruction

Dejan Azinović,

Ricardo Martin-Brualla,

Dan B Goldman,

Matthias Nießner,

Justus Thies

[pdf] [supp]

[bibtex]

@InProceedings{Azinovic_2022_CVPR, author = {Azinovi\'c, Dejan and Martin-Brualla, Ricardo and Goldman, Dan B and Nie{\ss}ner, Matthias and Thies, Justus}, title = {Neural RGB-D Surface Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6290-6301} }

ClusterGNN: Cluster-Based Coarse-To-Fine Graph Neural Network for Efficient Feature Matching

Yan Shi,

Jun-Xiong Cai,

Yoli Shavit,

Tai-Jiang Mu,

Wensen Feng,

Kai Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Yan and Cai, Jun-Xiong and Shavit, Yoli and Mu, Tai-Jiang and Feng, Wensen and Zhang, Kai}, title = {ClusterGNN: Cluster-Based Coarse-To-Fine Graph Neural Network for Efficient Feature Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12517-12526} }

AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation

Mohsen Gholami,

Bastian Wandt,

Helge Rhodin,

Rabab Ward,

Z. Jane Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gholami_2022_CVPR, author = {Gholami, Mohsen and Wandt, Bastian and Rhodin, Helge and Ward, Rabab and Wang, Z. Jane}, title = {AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13075-13085} }

ClothFormer: Taming Video Virtual Try-On in All Module

Jianbin Jiang,

Tan Wang,

He Yan,

Junhui Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Jianbin and Wang, Tan and Yan, He and Liu, Junhui}, title = {ClothFormer: Taming Video Virtual Try-On in All Module}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10799-10808} }

Cross-Domain Adaptive Teacher for Object Detection

Yu-Jhe Li,

Xiaoliang Dai,

Chih-Yao Ma,

Yen-Cheng Liu,

Kan Chen,

Bichen Wu,

Zijian He,

Kris Kitani,

Peter Vajda

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Yu-Jhe and Dai, Xiaoliang and Ma, Chih-Yao and Liu, Yen-Cheng and Chen, Kan and Wu, Bichen and He, Zijian and Kitani, Kris and Vajda, Peter}, title = {Cross-Domain Adaptive Teacher for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7581-7590} }

Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation

Liang Chen,

Yihang Lou,

Jianzhong He,

Tao Bai,

Minghua Deng

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Liang and Lou, Yihang and He, Jianzhong and Bai, Tao and Deng, Minghua}, title = {Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16134-16143} }

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation

Ruihuang Li,

Shuai Li,

Chenhang He,

Yabin Zhang,

Xu Jia,

Lei Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Ruihuang and Li, Shuai and He, Chenhang and Zhang, Yabin and Jia, Xu and Zhang, Lei}, title = {Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11593-11603} }

Coopernaut: End-to-End Driving With Cooperative Perception for Networked Vehicles

Jiaxun Cui,

Hang Qiu,

Dian Chen,

Peter Stone,

Yuke Zhu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cui_2022_CVPR, author = {Cui, Jiaxun and Qiu, Hang and Chen, Dian and Stone, Peter and Zhu, Yuke}, title = {Coopernaut: End-to-End Driving With Cooperative Perception for Networked Vehicles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17252-17262} }

Condensing CNNs With Partial Differential Equations

Anil Kag,

Venkatesh Saligrama

[pdf] [supp]

[bibtex]

@InProceedings{Kag_2022_CVPR, author = {Kag, Anil and Saligrama, Venkatesh}, title = {Condensing CNNs With Partial Differential Equations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {610-619} }

Few-Shot Keypoint Detection With Uncertainty Learning for Unseen Species

Changsheng Lu,

Piotr Koniusz

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lu_2022_CVPR, author = {Lu, Changsheng and Koniusz, Piotr}, title = {Few-Shot Keypoint Detection With Uncertainty Learning for Unseen Species}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19416-19426} }

Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching

Ozan Özdenizci,

Robert Legenstein

[pdf] [supp]

[bibtex]

@InProceedings{Ozdenizci_2022_CVPR, author = {\"Ozdenizci, Ozan and Legenstein, Robert}, title = {Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13388-13397} }

Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers

Tsung-Wei Ke,

Jyh-Jing Hwang,

Yunhui Guo,

Xudong Wang,

Stella X. Yu

[pdf] [arXiv]

[bibtex]

@InProceedings{Ke_2022_CVPR, author = {Ke, Tsung-Wei and Hwang, Jyh-Jing and Guo, Yunhui and Wang, Xudong and Yu, Stella X.}, title = {Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2571-2581} }

3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection

Junyu Luo,

Jiahui Fu,

Xianghao Kong,

Chen Gao,

Haibing Ren,

Hao Shen,

Huaxia Xia,

Si Liu

[pdf]

[bibtex]

@InProceedings{Luo_2022_CVPR, author = {Luo, Junyu and Fu, Jiahui and Kong, Xianghao and Gao, Chen and Ren, Haibing and Shen, Hao and Xia, Huaxia and Liu, Si}, title = {3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16454-16463} }

TubeR: Tubelet Transformer for Video Action Detection

Jiaojiao Zhao,

Yanyi Zhang,

Xinyu Li,

Hao Chen,

Bing Shuai,

Mingze Xu,

Chunhui Liu,

Kaustav Kundu,

Yuanjun Xiong,

Davide Modolo,

Ivan Marsic,

Cees G. M. Snoek,

Joseph Tighe

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Jiaojiao and Zhang, Yanyi and Li, Xinyu and Chen, Hao and Shuai, Bing and Xu, Mingze and Liu, Chunhui and Kundu, Kaustav and Xiong, Yuanjun and Modolo, Davide and Marsic, Ivan and Snoek, Cees G. M. and Tighe, Joseph}, title = {TubeR: Tubelet Transformer for Video Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13598-13607} }

LASER: LAtent SpacE Rendering for 2D Visual Localization

Zhixiang Min,

Naji Khosravan,

Zachary Bessinger,

Manjunath Narayana,

Sing Bing Kang,

Enrique Dunn,

Ivaylo Boyadzhiev

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Min_2022_CVPR, author = {Min, Zhixiang and Khosravan, Naji and Bessinger, Zachary and Narayana, Manjunath and Kang, Sing Bing and Dunn, Enrique and Boyadzhiev, Ivaylo}, title = {LASER: LAtent SpacE Rendering for 2D Visual Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11122-11131} }

MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection

JongMok Kim,

JooYoung Jang,

Seunghyeon Seo,

Jisoo Jeong,

Jongkeun Na,

Nojun Kwak

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, JongMok and Jang, JooYoung and Seo, Seunghyeon and Jeong, Jisoo and Na, Jongkeun and Kwak, Nojun}, title = {MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14512-14521} }

On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles

Qingzhao Zhang,

Shengtuo Hu,

Jiachen Sun,

Qi Alfred Chen,

Z. Morley Mao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Qingzhao and Hu, Shengtuo and Sun, Jiachen and Chen, Qi Alfred and Mao, Z. Morley}, title = {On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15159-15168} }

Kubric: A Scalable Dataset Generator

Klaus Greff,

Francois Belletti,

Lucas Beyer,

Carl Doersch,

Yilun Du,

Daniel Duckworth,

David J. Fleet,

Dan Gnanapragasam,

Florian Golemo,

Charles Herrmann,

Thomas Kipf,

Abhijit Kundu,

Dmitry Lagun,

Issam Laradji,

Hsueh-Ti (Derek) Liu,

Henning Meyer,

Yishu Miao,

Derek Nowrouzezahrai,

Cengiz Oztireli,

Etienne Pot,

Noha Radwan,

Daniel Rebain,

Sara Sabour,

Mehdi S. M. Sajjadi,

Matan Sela,

Vincent Sitzmann,

Austin Stone,

Deqing Sun,

Suhani Vora,

Ziyu Wang,

Tianhao Wu,

Kwang Moo Yi,

Fangcheng Zhong,

Andrea Tagliasacchi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Greff_2022_CVPR, author = {Greff, Klaus and Belletti, Francois and Beyer, Lucas and Doersch, Carl and Du, Yilun and Duckworth, Daniel and Fleet, David J. and Gnanapragasam, Dan and Golemo, Florian and Herrmann, Charles and Kipf, Thomas and Kundu, Abhijit and Lagun, Dmitry and Laradji, Issam and Liu, Hsueh-Ti (Derek) and Meyer, Henning and Miao, Yishu and Nowrouzezahrai, Derek and Oztireli, Cengiz and Pot, Etienne and Radwan, Noha and Rebain, Daniel and Sabour, Sara and Sajjadi, Mehdi S. M. and Sela, Matan and Sitzmann, Vincent and Stone, Austin and Sun, Deqing and Vora, Suhani and Wang, Ziyu and Wu, Tianhao and Yi, Kwang Moo and Zhong, Fangcheng and Tagliasacchi, Andrea}, title = {Kubric: A Scalable Dataset Generator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3749-3761} }

Unpaired Deep Image Deraining Using Dual Contrastive Learning

Xiang Chen,

Jinshan Pan,

Kui Jiang,

Yufeng Li,

Yufeng Huang,

Caihua Kong,

Longgang Dai,

Zhentao Fan

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Xiang and Pan, Jinshan and Jiang, Kui and Li, Yufeng and Huang, Yufeng and Kong, Caihua and Dai, Longgang and Fan, Zhentao}, title = {Unpaired Deep Image Deraining Using Dual Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2017-2026} }

Learning Multiple Dense Prediction Tasks From Partially Annotated Data

Wei-Hong Li,

Xialei Liu,

Hakan Bilen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Wei-Hong and Liu, Xialei and Bilen, Hakan}, title = {Learning Multiple Dense Prediction Tasks From Partially Annotated Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18879-18889} }

Pushing the Performance Limit of Scene Text Recognizer Without Human Annotation

Caiyuan Zheng,

Hui Li,

Seon-Min Rhee,

Seungju Han,

Jae-Joon Han,

Peng Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Caiyuan and Li, Hui and Rhee, Seon-Min and Han, Seungju and Han, Jae-Joon and Wang, Peng}, title = {Pushing the Performance Limit of Scene Text Recognizer Without Human Annotation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14116-14125} }

Boosting 3D Object Detection by Simulating Multimodality on Point Clouds

Wu Zheng,

Mingxuan Hong,

Li Jiang,

Chi-Wing Fu

[pdf] [supp]

[bibtex]

@InProceedings{Zheng_2022_CVPR, author = {Zheng, Wu and Hong, Mingxuan and Jiang, Li and Fu, Chi-Wing}, title = {Boosting 3D Object Detection by Simulating Multimodality on Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13638-13647} }

Towards Low-Cost and Efficient Malaria Detection

Waqas Sultani,

Wajahat Nawaz,

Syed Javed,

Muhammad Sohail Danish,

Asma Saadia,

Mohsen Ali

[pdf] [arXiv]

[bibtex]

@InProceedings{Sultani_2022_CVPR, author = {Sultani, Waqas and Nawaz, Wajahat and Javed, Syed and Danish, Muhammad Sohail and Saadia, Asma and Ali, Mohsen}, title = {Towards Low-Cost and Efficient Malaria Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20687-20696} }

Learning Neural Light Fields With Ray-Space Embedding

Benjamin Attal,

Jia-Bin Huang,

Michael Zollhöfer,

Johannes Kopf,

Changil Kim

[pdf] [supp]

[bibtex]

@InProceedings{Attal_2022_CVPR, author = {Attal, Benjamin and Huang, Jia-Bin and Zollh\"ofer, Michael and Kopf, Johannes and Kim, Changil}, title = {Learning Neural Light Fields With Ray-Space Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19819-19829} }

Exposure Normalization and Compensation for Multiple-Exposure Correction

Jie Huang,

Yajing Liu,

Xueyang Fu,

Man Zhou,

Yang Wang,

Feng Zhao,

Zhiwei Xiong

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Jie and Liu, Yajing and Fu, Xueyang and Zhou, Man and Wang, Yang and Zhao, Feng and Xiong, Zhiwei}, title = {Exposure Normalization and Compensation for Multiple-Exposure Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6043-6052} }

UDA-COPE: Unsupervised Domain Adaptation for Category-Level Object Pose Estimation

Taeyeop Lee,

Byeong-Uk Lee,

Inkyu Shin,

Jaesung Choe,

Ukcheol Shin,

In So Kweon,

Kuk-Jin Yoon

[pdf]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Taeyeop and Lee, Byeong-Uk and Shin, Inkyu and Choe, Jaesung and Shin, Ukcheol and Kweon, In So and Yoon, Kuk-Jin}, title = {UDA-COPE: Unsupervised Domain Adaptation for Category-Level Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14891-14900} }

Learning Non-Target Knowledge for Few-Shot Semantic Segmentation

Yuanwei Liu,

Nian Liu,

Qinglong Cao,

Xiwen Yao,

Junwei Han,

Ling Shao

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Yuanwei and Liu, Nian and Cao, Qinglong and Yao, Xiwen and Han, Junwei and Shao, Ling}, title = {Learning Non-Target Knowledge for Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11573-11582} }

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection With Transformers

Xuyang Bai,

Zeyu Hu,

Xinge Zhu,

Qingqiu Huang,

Yilun Chen,

Hongbo Fu,

Chiew-Lan Tai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bai_2022_CVPR, author = {Bai, Xuyang and Hu, Zeyu and Zhu, Xinge and Huang, Qingqiu and Chen, Yilun and Fu, Hongbo and Tai, Chiew-Lan}, title = {TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1090-1099} }

Real-Time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders

Maksim Makarenko,

Arturo Burguete-Lopez,

Qizhou Wang,

Fedor Getman,

Silvio Giancola,

Bernard Ghanem,

Andrea Fratalocchi

[pdf] [supp]

[bibtex]

@InProceedings{Makarenko_2022_CVPR, author = {Makarenko, Maksim and Burguete-Lopez, Arturo and Wang, Qizhou and Getman, Fedor and Giancola, Silvio and Ghanem, Bernard and Fratalocchi, Andrea}, title = {Real-Time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12692-12702} }

Clean Implicit 3D Structure From Noisy 2D STEM Images

Hannah Kniesel,

Timo Ropinski,

Tim Bergner,

Kavitha Shaga Devan,

Clarissa Read,

Paul Walther,

Tobias Ritschel,

Pedro Hermosilla

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kniesel_2022_CVPR, author = {Kniesel, Hannah and Ropinski, Timo and Bergner, Tim and Devan, Kavitha Shaga and Read, Clarissa and Walther, Paul and Ritschel, Tobias and Hermosilla, Pedro}, title = {Clean Implicit 3D Structure From Noisy 2D STEM Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20762-20772} }

UKPGAN: A General Self-Supervised Keypoint Detector

Yang You,

Wenhai Liu,

Yanjie Ze,

Yong-Lu Li,

Weiming Wang,

Cewu Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{You_2022_CVPR, author = {You, Yang and Liu, Wenhai and Ze, Yanjie and Li, Yong-Lu and Wang, Weiming and Lu, Cewu}, title = {UKPGAN: A General Self-Supervised Keypoint Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17042-17051} }

Learning Optimal K-Space Acquisition and Reconstruction Using Physics-Informed Neural Networks

Wei Peng,

Li Feng,

Guoying Zhao,

Fang Liu

[pdf] [supp]

[bibtex]

@InProceedings{Peng_2022_CVPR, author = {Peng, Wei and Feng, Li and Zhao, Guoying and Liu, Fang}, title = {Learning Optimal K-Space Acquisition and Reconstruction Using Physics-Informed Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20794-20803} }

Leveraging Adversarial Examples To Quantify Membership Information Leakage

Ganesh Del Grosso,

Hamid Jalalzai,

Georg Pichler,

Catuscia Palamidessi,

Pablo Piantanida

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Del_Grosso_2022_CVPR, author = {Del Grosso, Ganesh and Jalalzai, Hamid and Pichler, Georg and Palamidessi, Catuscia and Piantanida, Pablo}, title = {Leveraging Adversarial Examples To Quantify Membership Information Leakage}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10399-10409} }

Raw High-Definition Radar for Multi-Task Learning

Julien Rebut,

Arthur Ouaknine,

Waqas Malik,

Patrick Pérez

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rebut_2022_CVPR, author = {Rebut, Julien and Ouaknine, Arthur and Malik, Waqas and P\'erez, Patrick}, title = {Raw High-Definition Radar for Multi-Task Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17021-17030} }

Point-NeRF: Point-Based Neural Radiance Fields

Qiangeng Xu,

Zexiang Xu,

Julien Philip,

Sai Bi,

Zhixin Shu,

Kalyan Sunkavalli,

Ulrich Neumann

[pdf] [supp]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Qiangeng and Xu, Zexiang and Philip, Julien and Bi, Sai and Shu, Zhixin and Sunkavalli, Kalyan and Neumann, Ulrich}, title = {Point-NeRF: Point-Based Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5438-5448} }

Contextual Debiasing for Visual Recognition With Causal Mechanisms

Ruyang Liu,

Hao Liu,

Ge Li,

Haodi Hou,

TingHao Yu,

Tao Yang

[pdf]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Ruyang and Liu, Hao and Li, Ge and Hou, Haodi and Yu, TingHao and Yang, Tao}, title = {Contextual Debiasing for Visual Recognition With Causal Mechanisms}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12755-12765} }

Complex Video Action Reasoning via Learnable Markov Logic Network

Yang Jin,

Linchao Zhu,

Yadong Mu

[pdf] [supp]

[bibtex]

@InProceedings{Jin_2022_CVPR, author = {Jin, Yang and Zhu, Linchao and Mu, Yadong}, title = {Complex Video Action Reasoning via Learnable Markov Logic Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3242-3251} }

Per-Clip Video Object Segmentation

Kwanyong Park,

Sanghyun Woo,

Seoung Wug Oh,

In So Kweon,

Joon-Young Lee

[pdf] [supp]

[bibtex]

@InProceedings{Park_2022_CVPR, author = {Park, Kwanyong and Woo, Sanghyun and Oh, Seoung Wug and Kweon, In So and Lee, Joon-Young}, title = {Per-Clip Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1352-1361} }

Exploring Set Similarity for Dense Self-Supervised Representation Learning

Zhaoqing Wang,

Qiang Li,

Guoxin Zhang,

Pengfei Wan,

Wen Zheng,

Nannan Wang,

Mingming Gong,

Tongliang Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhaoqing and Li, Qiang and Zhang, Guoxin and Wan, Pengfei and Zheng, Wen and Wang, Nannan and Gong, Mingming and Liu, Tongliang}, title = {Exploring Set Similarity for Dense Self-Supervised Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16590-16599} }

Coarse-To-Fine Feature Mining for Video Semantic Segmentation

Guolei Sun,

Yun Liu,

Henghui Ding,

Thomas Probst,

Luc Van Gool

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Guolei and Liu, Yun and Ding, Henghui and Probst, Thomas and Van Gool, Luc}, title = {Coarse-To-Fine Feature Mining for Video Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3126-3137} }

ONCE-3DLanes: Building Monocular 3D Lane Detection

Fan Yan,

Ming Nie,

Xinyue Cai,

Jianhua Han,

Hang Xu,

Zhen Yang,

Chaoqiang Ye,

Yanwei Fu,

Michael Bi Mi,

Li Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Yan_2022_CVPR, author = {Yan, Fan and Nie, Ming and Cai, Xinyue and Han, Jianhua and Xu, Hang and Yang, Zhen and Ye, Chaoqiang and Fu, Yanwei and Mi, Michael Bi and Zhang, Li}, title = {ONCE-3DLanes: Building Monocular 3D Lane Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17143-17152} }

Weakly but Deeply Supervised Occlusion-Reasoned Parametric Road Layouts

Buyu Liu,

Bingbing Zhuang,

Manmohan Chandraker

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Buyu and Zhuang, Bingbing and Chandraker, Manmohan}, title = {Weakly but Deeply Supervised Occlusion-Reasoned Parametric Road Layouts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17000-17009} }

Compressing Models With Few Samples: Mimicking Then Replacing

Huanyu Wang,

Junjie Liu,

Xin Ma,

Yang Yong,

Zhenhua Chai,

Jianxin Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Huanyu and Liu, Junjie and Ma, Xin and Yong, Yang and Chai, Zhenhua and Wu, Jianxin}, title = {Compressing Models With Few Samples: Mimicking Then Replacing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {701-710} }

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning

Minxue Tang,

Xuefei Ning,

Yitu Wang,

Jingwei Sun,

Yu Wang,

Hai Li,

Yiran Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2022_CVPR, author = {Tang, Minxue and Ning, Xuefei and Wang, Yitu and Sun, Jingwei and Wang, Yu and Li, Hai and Chen, Yiran}, title = {FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10102-10111} }

Modulated Contrast for Versatile Image Synthesis

Fangneng Zhan,

Jiahui Zhang,

Yingchen Yu,

Rongliang Wu,

Shijian Lu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhan_2022_CVPR, author = {Zhan, Fangneng and Zhang, Jiahui and Yu, Yingchen and Wu, Rongliang and Lu, Shijian}, title = {Modulated Contrast for Versatile Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18280-18290} }

PokeBNN: A Binary Pursuit of Lightweight Accuracy

Yichi Zhang,

Zhiru Zhang,

Lukasz Lew

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yichi and Zhang, Zhiru and Lew, Lukasz}, title = {PokeBNN: A Binary Pursuit of Lightweight Accuracy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12475-12485} }

HumanNeRF: Efficiently Generated Human Radiance Field From Sparse Inputs

Fuqiang Zhao,

Wei Yang,

Jiakai Zhang,

Pei Lin,

Yingliang Zhang,

Jingyi Yu,

Lan Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2022_CVPR, author = {Zhao, Fuqiang and Yang, Wei and Zhang, Jiakai and Lin, Pei and Zhang, Yingliang and Yu, Jingyi and Xu, Lan}, title = {HumanNeRF: Efficiently Generated Human Radiance Field From Sparse Inputs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7743-7753} }

Zoom in and Out: A Mixed-Scale Triplet Network for Camouflaged Object Detection

Youwei Pang,

Xiaoqi Zhao,

Tian-Zhu Xiang,

Lihe Zhang,

Huchuan Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pang_2022_CVPR, author = {Pang, Youwei and Zhao, Xiaoqi and Xiang, Tian-Zhu and Zhang, Lihe and Lu, Huchuan}, title = {Zoom in and Out: A Mixed-Scale Triplet Network for Camouflaged Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2160-2170} }

Identifying Ambiguous Similarity Conditions via Semantic Matching

Han-Jia Ye,

Yi Shi,

De-Chuan Zhan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2022_CVPR, author = {Ye, Han-Jia and Shi, Yi and Zhan, De-Chuan}, title = {Identifying Ambiguous Similarity Conditions via Semantic Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16610-16619} }

MISF: Multi-Level Interactive Siamese Filtering for High-Fidelity Image Inpainting

Xiaoguang Li,

Qing Guo,

Di Lin,

Ping Li,

Wei Feng,

Song Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Xiaoguang and Guo, Qing and Lin, Di and Li, Ping and Feng, Wei and Wang, Song}, title = {MISF: Multi-Level Interactive Siamese Filtering for High-Fidelity Image Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1869-1878} }

Cascade Transformers for End-to-End Person Search

Rui Yu,

Dawei Du,

Rodney LaLonde,

Daniel Davila,

Christopher Funk,

Anthony Hoogs,

Brian Clipp

[pdf] [arXiv]

[bibtex]

@InProceedings{Yu_2022_CVPR, author = {Yu, Rui and Du, Dawei and LaLonde, Rodney and Davila, Daniel and Funk, Christopher and Hoogs, Anthony and Clipp, Brian}, title = {Cascade Transformers for End-to-End Person Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7267-7276} }

MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection

Bumsoo Kim,

Jonghwan Mun,

Kyoung-Woon On,

Minchul Shin,

Junhyun Lee,

Eun-Sol Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Bumsoo and Mun, Jonghwan and On, Kyoung-Woon and Shin, Minchul and Lee, Junhyun and Kim, Eun-Sol}, title = {MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19578-19587} }

LSVC: A Learning-Based Stereo Video Compression Framework

Zhenghao Chen,

Guo Lu,

Zhihao Hu,

Shan Liu,

Wei Jiang,

Dong Xu

[pdf]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Zhenghao and Lu, Guo and Hu, Zhihao and Liu, Shan and Jiang, Wei and Xu, Dong}, title = {LSVC: A Learning-Based Stereo Video Compression Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6073-6082} }

How Do You Do It? Fine-Grained Action Understanding With Pseudo-Adverbs

Hazel Doughty,

Cees G. M. Snoek

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Doughty_2022_CVPR, author = {Doughty, Hazel and Snoek, Cees G. M.}, title = {How Do You Do It? Fine-Grained Action Understanding With Pseudo-Adverbs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13832-13842} }

InsetGAN for Full-Body Image Generation

Anna Frühstück,

Krishna Kumar Singh,

Eli Shechtman,

Niloy J. Mitra,

Peter Wonka,

Jingwan Lu

[pdf] [supp]

[bibtex]

@InProceedings{Fruhstuck_2022_CVPR, author = {Fr\"uhst\"uck, Anna and Singh, Krishna Kumar and Shechtman, Eli and Mitra, Niloy J. and Wonka, Peter and Lu, Jingwan}, title = {InsetGAN for Full-Body Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7723-7732} }

DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors

Sivapriya Vellaichamy,

Matthew Hull,

Zijie J. Wang,

Nilaksh Das,

ShengYun Peng,

Haekyu Park,

Duen Horng (Polo) Chau

[pdf]

[bibtex]

@InProceedings{Vellaichamy_2022_CVPR, author = {Vellaichamy, Sivapriya and Hull, Matthew and Wang, Zijie J. and Das, Nilaksh and Peng, ShengYun and Park, Haekyu and Chau, Duen Horng (Polo)}, title = {DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21484-21491} }

SOMSI: Spherical Novel View Synthesis With Soft Occlusion Multi-Sphere Images

Tewodros Habtegebrial,

Christiano Gava,

Marcel Rogge,

Didier Stricker,

Varun Jampani

[pdf] [supp]

[bibtex]

@InProceedings{Habtegebrial_2022_CVPR, author = {Habtegebrial, Tewodros and Gava, Christiano and Rogge, Marcel and Stricker, Didier and Jampani, Varun}, title = {SOMSI: Spherical Novel View Synthesis With Soft Occlusion Multi-Sphere Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15725-15734} }

EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching

Yaya Shi,

Xu Yang,

Haiyang Xu,

Chunfeng Yuan,

Bing Li,

Weiming Hu,

Zheng-Jun Zha

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Yaya and Yang, Xu and Xu, Haiyang and Yuan, Chunfeng and Li, Bing and Hu, Weiming and Zha, Zheng-Jun}, title = {EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17929-17938} }

SNR-Aware Low-Light Image Enhancement

Xiaogang Xu,

Ruixing Wang,

Chi-Wing Fu,

Jiaya Jia

[pdf]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Xiaogang and Wang, Ruixing and Fu, Chi-Wing and Jia, Jiaya}, title = {SNR-Aware Low-Light Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17714-17724} }

3D Common Corruptions and Data Augmentation

Oğuzhan Fatih Kar,

Teresa Yeo,

Andrei Atanov,

Amir Zamir

[pdf] [arXiv]

[bibtex]

@InProceedings{Kar_2022_CVPR, author = {Kar, O\u{g}uzhan Fatih and Yeo, Teresa and Atanov, Andrei and Zamir, Amir}, title = {3D Common Corruptions and Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18963-18974} }

PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision

Kehong Gong,

Bingbing Li,

Jianfeng Zhang,

Tao Wang,

Jing Huang,

Michael Bi Mi,

Jiashi Feng,

Xinchao Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gong_2022_CVPR, author = {Gong, Kehong and Li, Bingbing and Zhang, Jianfeng and Wang, Tao and Huang, Jing and Mi, Michael Bi and Feng, Jiashi and Wang, Xinchao}, title = {PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11017-11027} }

Injecting Semantic Concepts Into End-to-End Image Captioning

Zhiyuan Fang,

Jianfeng Wang,

Xiaowei Hu,

Lin Liang,

Zhe Gan,

Lijuan Wang,

Yezhou Yang,

Zicheng Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fang_2022_CVPR, author = {Fang, Zhiyuan and Wang, Jianfeng and Hu, Xiaowei and Liang, Lin and Gan, Zhe and Wang, Lijuan and Yang, Yezhou and Liu, Zicheng}, title = {Injecting Semantic Concepts Into End-to-End Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18009-18019} }

An Efficient Training Approach for Very Large Scale Face Recognition

Kai Wang,

Shuo Wang,

Panpan Zhang,

Zhipeng Zhou,

Zheng Zhu,

Xiaobo Wang,

Xiaojiang Peng,

Baigui Sun,

Hao Li,

Yang You

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Kai and Wang, Shuo and Zhang, Panpan and Zhou, Zhipeng and Zhu, Zheng and Wang, Xiaobo and Peng, Xiaojiang and Sun, Baigui and Li, Hao and You, Yang}, title = {An Efficient Training Approach for Very Large Scale Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4083-4092} }

Long-Term Video Frame Interpolation via Feature Propagation

Dawit Mureja Argaw,

In So Kweon

[pdf] [arXiv]

[bibtex]

@InProceedings{Argaw_2022_CVPR, author = {Argaw, Dawit Mureja and Kweon, In So}, title = {Long-Term Video Frame Interpolation via Feature Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3543-3552} }

Coarse-To-Fine Q-Attention: Efficient Learning for Visual Robotic Manipulation via Discretisation

Stephen James,

Kentaro Wada,

Tristan Laidlow,

Andrew J. Davison

[pdf]

[bibtex]

@InProceedings{James_2022_CVPR, author = {James, Stephen and Wada, Kentaro and Laidlow, Tristan and Davison, Andrew J.}, title = {Coarse-To-Fine Q-Attention: Efficient Learning for Visual Robotic Manipulation via Discretisation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13739-13748} }

Event-Aided Direct Sparse Odometry

Javier Hidalgo-Carrió,

Guillermo Gallego,

Davide Scaramuzza

[pdf] [supp]

[bibtex]

@InProceedings{Hidalgo-Carrio_2022_CVPR, author = {Hidalgo-Carri\'o, Javier and Gallego, Guillermo and Scaramuzza, Davide}, title = {Event-Aided Direct Sparse Odometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5781-5790} }

Group Contextualization for Video Recognition

Yanbin Hao,

Hao Zhang,

Chong-Wah Ngo,

Xiangnan He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hao_2022_CVPR, author = {Hao, Yanbin and Zhang, Hao and Ngo, Chong-Wah and He, Xiangnan}, title = {Group Contextualization for Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {928-938} }

Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation

Aming Wu,

Cheng Deng

[pdf] [supp]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Aming and Deng, Cheng}, title = {Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {847-856} }

Visual Abductive Reasoning

Chen Liang,

Wenguan Wang,

Tianfei Zhou,

Yi Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liang_2022_CVPR, author = {Liang, Chen and Wang, Wenguan and Zhou, Tianfei and Yang, Yi}, title = {Visual Abductive Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15565-15575} }

L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

Peng-Tao Jiang,

Yuqi Yang,

Qibin Hou,

Yunchao Wei

[pdf] [arXiv]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Peng-Tao and Yang, Yuqi and Hou, Qibin and Wei, Yunchao}, title = {L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16886-16896} }

Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation

Jianfeng Wang,

Thomas Lukasiewicz

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Jianfeng and Lukasiewicz, Thomas}, title = {Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {182-190} }

Continual Learning With Lifelong Vision Transformer

Zhen Wang,

Liu Liu,

Yiqun Duan,

Yajing Kong,

Dacheng Tao

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhen and Liu, Liu and Duan, Yiqun and Kong, Yajing and Tao, Dacheng}, title = {Continual Learning With Lifelong Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {171-181} }

MPViT: Multi-Path Vision Transformer for Dense Prediction

Youngwan Lee,

Jonghee Kim,

Jeffrey Willette,

Sung Ju Hwang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2022_CVPR, author = {Lee, Youngwan and Kim, Jonghee and Willette, Jeffrey and Hwang, Sung Ju}, title = {MPViT: Multi-Path Vision Transformer for Dense Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7287-7296} }

NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models

Simin Chen,

Zihe Song,

Mirazul Haque,

Cong Liu,

Wei Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Simin and Song, Zihe and Haque, Mirazul and Liu, Cong and Yang, Wei}, title = {NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15365-15374} }

Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation

Shreyas Hampali,

Sayan Deb Sarkar,

Mahdi Rad,

Vincent Lepetit

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hampali_2022_CVPR, author = {Hampali, Shreyas and Sarkar, Sayan Deb and Rad, Mahdi and Lepetit, Vincent}, title = {Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11090-11100} }

SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing

Yichun Shi,

Xiao Yang,

Yangyue Wan,

Xiaohui Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Yichun and Yang, Xiao and Wan, Yangyue and Shen, Xiaohui}, title = {SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11254-11264} }

Accurate 3D Body Shape Regression Using Metric and Semantic Attributes

Vasileios Choutas,

Lea Müller,

Chun-Hao P. Huang,

Siyu Tang,

Dimitrios Tzionas,

Michael J. Black

[pdf] [supp]

[bibtex]

@InProceedings{Choutas_2022_CVPR, author = {Choutas, Vasileios and M\"uller, Lea and Huang, Chun-Hao P. and Tang, Siyu and Tzionas, Dimitrios and Black, Michael J.}, title = {Accurate 3D Body Shape Regression Using Metric and Semantic Attributes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2718-2728} }

VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers

Estelle Aflalo,

Meng Du,

Shao-Yen Tseng,

Yongfei Liu,

Chenfei Wu,

Nan Duan,

Vasudev Lal

[pdf]

[bibtex]

@InProceedings{Aflalo_2022_CVPR, author = {Aflalo, Estelle and Du, Meng and Tseng, Shao-Yen and Liu, Yongfei and Wu, Chenfei and Duan, Nan and Lal, Vasudev}, title = {VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21406-21415} }

Label-Only Model Inversion Attacks via Boundary Repulsion

Mostafa Kahla,

Si Chen,

Hoang Anh Just,

Ruoxi Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kahla_2022_CVPR, author = {Kahla, Mostafa and Chen, Si and Just, Hoang Anh and Jia, Ruoxi}, title = {Label-Only Model Inversion Attacks via Boundary Repulsion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15045-15053} }

Privacy-Preserving Online AutoML for Domain-Specific Face Detection

Chenqian Yan,

Yuge Zhang,

Quanlu Zhang,

Yaming Yang,

Xinyang Jiang,

Yuqing Yang,

Baoyuan Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yan_2022_CVPR, author = {Yan, Chenqian and Zhang, Yuge and Zhang, Quanlu and Yang, Yaming and Jiang, Xinyang and Yang, Yuqing and Wang, Baoyuan}, title = {Privacy-Preserving Online AutoML for Domain-Specific Face Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4134-4144} }

Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition

Yang Yang,

Chaoyue Wang,

Risheng Liu,

Lin Zhang,

Xiaojie Guo,

Dacheng Tao

[pdf]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Yang and Wang, Chaoyue and Liu, Risheng and Zhang, Lin and Guo, Xiaojie and Tao, Dacheng}, title = {Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2037-2046} }

Neural 3D Video Synthesis From Multi-View Video

Tianye Li,

Mira Slavcheva,

Michael Zollhöfer,

Simon Green,

Christoph Lassner,

Changil Kim,

Tanner Schmidt,

Steven Lovegrove,

Michael Goesele,

Richard Newcombe,

Zhaoyang Lv

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Tianye and Slavcheva, Mira and Zollh\"ofer, Michael and Green, Simon and Lassner, Christoph and Kim, Changil and Schmidt, Tanner and Lovegrove, Steven and Goesele, Michael and Newcombe, Richard and Lv, Zhaoyang}, title = {Neural 3D Video Synthesis From Multi-View Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5521-5531} }

LiDAR Snowfall Simulation for Robust 3D Object Detection

Martin Hahner,

Christos Sakaridis,

Mario Bijelic,

Felix Heide,

Fisher Yu,

Dengxin Dai,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hahner_2022_CVPR, author = {Hahner, Martin and Sakaridis, Christos and Bijelic, Mario and Heide, Felix and Yu, Fisher and Dai, Dengxin and Van Gool, Luc}, title = {LiDAR Snowfall Simulation for Robust 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16364-16374} }

Learning Where To Learn in Cross-View Self-Supervised Learning

Lang Huang,

Shan You,

Mingkai Zheng,

Fei Wang,

Chen Qian,

Toshihiko Yamasaki

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Lang and You, Shan and Zheng, Mingkai and Wang, Fei and Qian, Chen and Yamasaki, Toshihiko}, title = {Learning Where To Learn in Cross-View Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14451-14460} }

SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation

Ziyi Wang,

Yongming Rao,

Xumin Yu,

Jie Zhou,

Jiwen Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Ziyi and Rao, Yongming and Yu, Xumin and Zhou, Jie and Lu, Jiwen}, title = {SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11819-11829} }

Sparse Object-Level Supervision for Instance Segmentation With Pixel Embeddings

Adrian Wolny,

Qin Yu,

Constantin Pape,

Anna Kreshuk

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wolny_2022_CVPR, author = {Wolny, Adrian and Yu, Qin and Pape, Constantin and Kreshuk, Anna}, title = {Sparse Object-Level Supervision for Instance Segmentation With Pixel Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4402-4411} }

How Much More Data Do I Need? Estimating Requirements for Downstream Tasks

Rafid Mahmood,

James Lucas,

David Acuna,

Daiqing Li,

Jonah Philion,

Jose M. Alvarez,

Zhiding Yu,

Sanja Fidler,

Marc T. Law

[pdf] [supp]

[bibtex]

@InProceedings{Mahmood_2022_CVPR, author = {Mahmood, Rafid and Lucas, James and Acuna, David and Li, Daiqing and Philion, Jonah and Alvarez, Jose M. and Yu, Zhiding and Fidler, Sanja and Law, Marc T.}, title = {How Much More Data Do I Need? Estimating Requirements for Downstream Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {275-284} }

Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation

Deyi Ji,

Haoran Wang,

Mingyuan Tao,

Jianqiang Huang,

Xian-Sheng Hua,

Hongtao Lu

[pdf]

[bibtex]

@InProceedings{Ji_2022_CVPR, author = {Ji, Deyi and Wang, Haoran and Tao, Mingyuan and Huang, Jianqiang and Hua, Xian-Sheng and Lu, Hongtao}, title = {Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16876-16885} }

Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search

Han Xiao,

Ziwei Wang,

Zheng Zhu,

Jie Zhou,

Jiwen Lu

[pdf] [supp]

[bibtex]

@InProceedings{Xiao_2022_CVPR, author = {Xiao, Han and Wang, Ziwei and Zhu, Zheng and Zhou, Jie and Lu, Jiwen}, title = {Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11892-11901} }

The Implicit Values of a Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement

Ilya Chugunov,

Yuxuan Zhang,

Zhihao Xia,

Xuaner Zhang,

Jiawen Chen,

Felix Heide

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chugunov_2022_CVPR, author = {Chugunov, Ilya and Zhang, Yuxuan and Xia, Zhihao and Zhang, Xuaner and Chen, Jiawen and Heide, Felix}, title = {The Implicit Values of a Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2852-2862} }

Learning What Not To Segment: A New Perspective on Few-Shot Segmentation

Chunbo Lang,

Gong Cheng,

Binfei Tu,

Junwei Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lang_2022_CVPR, author = {Lang, Chunbo and Cheng, Gong and Tu, Binfei and Han, Junwei}, title = {Learning What Not To Segment: A New Perspective on Few-Shot Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8057-8067} }

Blended Diffusion for Text-Driven Editing of Natural Images

Omri Avrahami,

Dani Lischinski,

Ohad Fried

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Avrahami_2022_CVPR, author = {Avrahami, Omri and Lischinski, Dani and Fried, Ohad}, title = {Blended Diffusion for Text-Driven Editing of Natural Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {18208-18218} }

Towards Unsupervised Domain Generalization

Xingxuan Zhang,

Linjun Zhou,

Renzhe Xu,

Peng Cui,

Zheyan Shen,

Haoxin Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Xingxuan and Zhou, Linjun and Xu, Renzhe and Cui, Peng and Shen, Zheyan and Liu, Haoxin}, title = {Towards Unsupervised Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4910-4920} }

HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening

Wele Gedara Chaminda Bandara,

Vishal M. Patel

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bandara_2022_CVPR, author = {Bandara, Wele Gedara Chaminda and Patel, Vishal M.}, title = {HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1767-1777} }

Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation

Anirud Thyagharajan,

Benjamin Ummenhofer,

Prashant Laddha,

Om Ji Omer,

Sreenivas Subramoney

[pdf] [supp]

[bibtex]

@InProceedings{Thyagharajan_2022_CVPR, author = {Thyagharajan, Anirud and Ummenhofer, Benjamin and Laddha, Prashant and Omer, Om Ji and Subramoney, Sreenivas}, title = {Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1236-1245} }

Robust Invertible Image Steganography

Youmin Xu,

Chong Mou,

Yujie Hu,

Jingfen Xie,

Jian Zhang

[pdf]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, Youmin and Mou, Chong and Hu, Yujie and Xie, Jingfen and Zhang, Jian}, title = {Robust Invertible Image Steganography}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7875-7884} }

Entropy-Based Active Learning for Object Detection With Progressive Diversity Constraint

Jiaxi Wu,

Jiaxin Chen,

Di Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Jiaxi and Chen, Jiaxin and Huang, Di}, title = {Entropy-Based Active Learning for Object Detection With Progressive Diversity Constraint}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9397-9406} }

BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement

Yunlong Wang,

Hongyu Pan,

Jun Zhu,

Yu-Huan Wu,

Xin Zhan,

Kun Jiang,

Diange Yang

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yunlong and Pan, Hongyu and Zhu, Jun and Wu, Yu-Huan and Zhan, Xin and Jiang, Kun and Yang, Diange}, title = {BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17093-17102} }

A Structured Dictionary Perspective on Implicit Neural Representations

Gizem Yüce,

Guillermo Ortiz-Jiménez,

Beril Besbinar,

Pascal Frossard

[pdf] [supp]

[bibtex]

@InProceedings{Yuce_2022_CVPR, author = {Y\"uce, Gizem and Ortiz-Jim\'enez, Guillermo and Besbinar, Beril and Frossard, Pascal}, title = {A Structured Dictionary Perspective on Implicit Neural Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19228-19238} }

Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization

Hao Jiang,

Calvin Murdock,

Vamsi Krishna Ithapu

[pdf] [arXiv]

[bibtex]

@InProceedings{Jiang_2022_CVPR, author = {Jiang, Hao and Murdock, Calvin and Ithapu, Vamsi Krishna}, title = {Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10544-10552} }

Vision-Language Pre-Training With Triple Contrastive Learning

Jinyu Yang,

Jiali Duan,

Son Tran,

Yi Xu,

Sampath Chanda,

Liqun Chen,

Belinda Zeng,

Trishul Chilimbi,

Junzhou Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Jinyu and Duan, Jiali and Tran, Son and Xu, Yi and Chanda, Sampath and Chen, Liqun and Zeng, Belinda and Chilimbi, Trishul and Huang, Junzhou}, title = {Vision-Language Pre-Training With Triple Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15671-15680} }

Structure-Aware Flow Generation for Human Body Reshaping

Jianqiang Ren,

Yuan Yao,

Biwen Lei,

Miaomiao Cui,

Xuansong Xie

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ren_2022_CVPR, author = {Ren, Jianqiang and Yao, Yuan and Lei, Biwen and Cui, Miaomiao and Xie, Xuansong}, title = {Structure-Aware Flow Generation for Human Body Reshaping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7754-7763} }

Practical Learned Lossless JPEG Recompression With Multi-Level Cross-Channel Entropy Model in the DCT Domain

Lina Guo,

Xinjie Shi,

Dailan He,

Yuanyuan Wang,

Rui Ma,

Hongwei Qin,

Yan Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guo_2022_CVPR, author = {Guo, Lina and Shi, Xinjie and He, Dailan and Wang, Yuanyuan and Ma, Rui and Qin, Hongwei and Wang, Yan}, title = {Practical Learned Lossless JPEG Recompression With Multi-Level Cross-Channel Entropy Model in the DCT Domain}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5862-5871} }

Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-Time

Liao Wang,

Jiakai Zhang,

Xinhang Liu,

Fuqiang Zhao,

Yanshun Zhang,

Yingliang Zhang,

Minye Wu,

Jingyi Yu,

Lan Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Liao and Zhang, Jiakai and Liu, Xinhang and Zhao, Fuqiang and Zhang, Yanshun and Zhang, Yingliang and Wu, Minye and Yu, Jingyi and Xu, Lan}, title = {Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-Time}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13524-13534} }

Learning To Answer Questions in Dynamic Audio-Visual Scenarios

Guangyao Li,

Yake Wei,

Yapeng Tian,

Chenliang Xu,

Ji-Rong Wen,

Di Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Guangyao and Wei, Yake and Tian, Yapeng and Xu, Chenliang and Wen, Ji-Rong and Hu, Di}, title = {Learning To Answer Questions in Dynamic Audio-Visual Scenarios}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19108-19118} }

Leveraging Equivariant Features for Absolute Pose Regression

Mohamed Adel Musallam,

Vincent Gaudillière,

Miguel Ortiz del Castillo,

Kassem Al Ismaeil,

Djamila Aouada

[pdf]

[bibtex]

@InProceedings{Musallam_2022_CVPR, author = {Musallam, Mohamed Adel and Gaudilli\`ere, Vincent and del Castillo, Miguel Ortiz and Al Ismaeil, Kassem and Aouada, Djamila}, title = {Leveraging Equivariant Features for Absolute Pose Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6876-6886} }

Synthetic Aperture Imaging With Events and Frames

Wei Liao,

Xiang Zhang,

Lei Yu,

Shijie Lin,

Wen Yang,

Ning Qiao

[pdf] [supp]

[bibtex]

@InProceedings{Liao_2022_CVPR, author = {Liao, Wei and Zhang, Xiang and Yu, Lei and Lin, Shijie and Yang, Wen and Qiao, Ning}, title = {Synthetic Aperture Imaging With Events and Frames}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17735-17744} }

CLIP-Event: Connecting Text and Images With Event Structures

Manling Li,

Ruochen Xu,

Shuohang Wang,

Luowei Zhou,

Xudong Lin,

Chenguang Zhu,

Michael Zeng,

Heng Ji,

Shih-Fu Chang

[pdf] [supp]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Manling and Xu, Ruochen and Wang, Shuohang and Zhou, Luowei and Lin, Xudong and Zhu, Chenguang and Zeng, Michael and Ji, Heng and Chang, Shih-Fu}, title = {CLIP-Event: Connecting Text and Images With Event Structures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16420-16429} }

MonoGround: Detecting Monocular 3D Objects From the Ground

Zequn Qin,

Xi Li

[pdf]

[bibtex]

@InProceedings{Qin_2022_CVPR, author = {Qin, Zequn and Li, Xi}, title = {MonoGround: Detecting Monocular 3D Objects From the Ground}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3793-3802} }

Deep Visual Geo-Localization Benchmark

Gabriele Berton,

Riccardo Mereu,

Gabriele Trivigno,

Carlo Masone,

Gabriela Csurka,

Torsten Sattler,

Barbara Caputo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Berton_2022_CVPR, author = {Berton, Gabriele and Mereu, Riccardo and Trivigno, Gabriele and Masone, Carlo and Csurka, Gabriela and Sattler, Torsten and Caputo, Barbara}, title = {Deep Visual Geo-Localization Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5396-5407} }

Scaling Up Vision-Language Pre-Training for Image Captioning

Xiaowei Hu,

Zhe Gan,

Jianfeng Wang,

Zhengyuan Yang,

Zicheng Liu,

Yumao Lu,

Lijuan Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Hu_2022_CVPR, author = {Hu, Xiaowei and Gan, Zhe and Wang, Jianfeng and Yang, Zhengyuan and Liu, Zicheng and Lu, Yumao and Wang, Lijuan}, title = {Scaling Up Vision-Language Pre-Training for Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17980-17989} }

Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning

Yuan-Fu Yang,

Min Sun

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Yuan-Fu and Sun, Min}, title = {Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2323-2332} }

StyleGAN-V: A Continuous Video Generator With the Price, Image Quality and Perks of StyleGAN2

Ivan Skorokhodov,

Sergey Tulyakov,

Mohamed Elhoseiny

[pdf] [supp]

[bibtex]

@InProceedings{Skorokhodov_2022_CVPR, author = {Skorokhodov, Ivan and Tulyakov, Sergey and Elhoseiny, Mohamed}, title = {StyleGAN-V: A Continuous Video Generator With the Price, Image Quality and Perks of StyleGAN2}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3626-3636} }

Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks

Xiangyu Qi,

Tinghao Xie,

Ruizhe Pan,

Jifeng Zhu,

Yong Yang,

Kai Bu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Qi_2022_CVPR, author = {Qi, Xiangyu and Xie, Tinghao and Pan, Ruizhe and Zhu, Jifeng and Yang, Yong and Bu, Kai}, title = {Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13347-13357} }

Scaling Vision Transformers

Xiaohua Zhai,

Alexander Kolesnikov,

Neil Houlsby,

Lucas Beyer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhai_2022_CVPR, author = {Zhai, Xiaohua and Kolesnikov, Alexander and Houlsby, Neil and Beyer, Lucas}, title = {Scaling Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12104-12113} }

Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering

Sateesh Kumar,

Sanjay Haresh,

Awais Ahmed,

Andrey Konin,

M. Zeeshan Zia,

Quoc-Huy Tran

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kumar_2022_CVPR, author = {Kumar, Sateesh and Haresh, Sanjay and Ahmed, Awais and Konin, Andrey and Zia, M. Zeeshan and Tran, Quoc-Huy}, title = {Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20174-20185} }

Pin the Memory: Learning To Generalize Semantic Segmentation

Jin Kim,

Jiyoung Lee,

Jungin Park,

Dongbo Min,

Kwanghoon Sohn

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Jin and Lee, Jiyoung and Park, Jungin and Min, Dongbo and Sohn, Kwanghoon}, title = {Pin the Memory: Learning To Generalize Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4350-4360} }

LISA: Learning Implicit Shape and Appearance of Hands

Enric Corona,

Tomas Hodan,

Minh Vo,

Francesc Moreno-Noguer,

Chris Sweeney,

Richard Newcombe,

Lingni Ma

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Corona_2022_CVPR, author = {Corona, Enric and Hodan, Tomas and Vo, Minh and Moreno-Noguer, Francesc and Sweeney, Chris and Newcombe, Richard and Ma, Lingni}, title = {LISA: Learning Implicit Shape and Appearance of Hands}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20533-20543} }

DiGS: Divergence Guided Shape Implicit Neural Representation for Unoriented Point Clouds

Yizhak Ben-Shabat,

Chamin Hewa Koneputugodage,

Stephen Gould

[pdf] [supp]

[bibtex]

@InProceedings{Ben-Shabat_2022_CVPR, author = {Ben-Shabat, Yizhak and Koneputugodage, Chamin Hewa and Gould, Stephen}, title = {DiGS: Divergence Guided Shape Implicit Neural Representation for Unoriented Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19323-19332} }

Iterative Deep Homography Estimation

Si-Yuan Cao,

Jianxin Hu,

Zehua Sheng,

Hui-Liang Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Si-Yuan and Hu, Jianxin and Sheng, Zehua and Shen, Hui-Liang}, title = {Iterative Deep Homography Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1879-1888} }

Semi-Supervised Learning of Semantic Correspondence With Pseudo-Labels

Jiwon Kim,

Kwangrok Ryoo,

Junyoung Seo,

Gyuseong Lee,

Daehwan Kim,

Hansang Cho,

Seungryong Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Jiwon and Ryoo, Kwangrok and Seo, Junyoung and Lee, Gyuseong and Kim, Daehwan and Cho, Hansang and Kim, Seungryong}, title = {Semi-Supervised Learning of Semantic Correspondence With Pseudo-Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19699-19709} }

Learned Queries for Efficient Local Attention

Moab Arar,

Ariel Shamir,

Amit H. Bermano

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Arar_2022_CVPR, author = {Arar, Moab and Shamir, Ariel and Bermano, Amit H.}, title = {Learned Queries for Efficient Local Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10841-10852} }

Stereoscopic Universal Perturbations Across Different Architectures and Datasets

Zachary Berger,

Parth Agrawal,

Tian Yu Liu,

Stefano Soatto,

Alex Wong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Berger_2022_CVPR, author = {Berger, Zachary and Agrawal, Parth and Liu, Tian Yu and Soatto, Stefano and Wong, Alex}, title = {Stereoscopic Universal Perturbations Across Different Architectures and Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15180-15190} }

Colar: Effective and Efficient Online Action Detection by Consulting Exemplars

Le Yang,

Junwei Han,

Dingwen Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Le and Han, Junwei and Zhang, Dingwen}, title = {Colar: Effective and Efficient Online Action Detection by Consulting Exemplars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {3160-3169} }

AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation

Xueyi Liu,

Xiaomeng Xu,

Anyi Rao,

Chuang Gan,

Li Yi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Xueyi and Xu, Xiaomeng and Rao, Anyi and Gan, Chuang and Yi, Li}, title = {AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11624-11634} }

DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos

Mathias Parger,

Chengcheng Tang,

Christopher D. Twigg,

Cem Keskin,

Robert Wang,

Markus Steinberger

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Parger_2022_CVPR, author = {Parger, Mathias and Tang, Chengcheng and Twigg, Christopher D. and Keskin, Cem and Wang, Robert and Steinberger, Markus}, title = {DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12497-12506} }

HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging

Yisi Luo,

Xi-Le Zhao,

Deyu Meng,

Tai-Xiang Jiang

[pdf] [supp]

[bibtex]

@InProceedings{Luo_2022_CVPR, author = {Luo, Yisi and Zhao, Xi-Le and Meng, Deyu and Jiang, Tai-Xiang}, title = {HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {19303-19312} }

Leveraging Self-Supervision for Cross-Domain Crowd Counting

Weizhe Liu,

Nikita Durasov,

Pascal Fua

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Weizhe and Durasov, Nikita and Fua, Pascal}, title = {Leveraging Self-Supervision for Cross-Domain Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5341-5352} }

MNSRNet: Multimodal Transformer Network for 3D Surface Super-Resolution

Wuyuan Xie,

Tengcong Huang,

Miaohui Wang

[pdf]

[bibtex]

@InProceedings{Xie_2022_CVPR, author = {Xie, Wuyuan and Huang, Tengcong and Wang, Miaohui}, title = {MNSRNet: Multimodal Transformer Network for 3D Surface Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12703-12712} }

Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders

Minyoung Kim

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Minyoung}, title = {Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {244-253} }

PlaneMVS: 3D Plane Reconstruction From Multi-View Stereo

Jiachen Liu,

Pan Ji,

Nitin Bansal,

Changjiang Cai,

Qingan Yan,

Xiaolei Huang,

Yi Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Jiachen and Ji, Pan and Bansal, Nitin and Cai, Changjiang and Yan, Qingan and Huang, Xiaolei and Xu, Yi}, title = {PlaneMVS: 3D Plane Reconstruction From Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8665-8675} }

Scene Graph Expansion for Semantics-Guided Image Outpainting

Chiao-An Yang,

Cheng-Yo Tan,

Wan-Cyuan Fan,

Cheng-Fu Yang,

Meng-Lin Wu,

Yu-Chiang Frank Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Chiao-An and Tan, Cheng-Yo and Fan, Wan-Cyuan and Yang, Cheng-Fu and Wu, Meng-Lin and Wang, Yu-Chiang Frank}, title = {Scene Graph Expansion for Semantics-Guided Image Outpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15617-15626} }

SoftGroup for 3D Instance Segmentation on Point Clouds

Thang Vu,

Kookhoi Kim,

Tung M. Luu,

Thanh Nguyen,

Chang D. Yoo

[pdf] [arXiv]

[bibtex]

@InProceedings{Vu_2022_CVPR, author = {Vu, Thang and Kim, Kookhoi and Luu, Tung M. and Nguyen, Thanh and Yoo, Chang D.}, title = {SoftGroup for 3D Instance Segmentation on Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2708-2717} }

SharpContour: A Contour-Based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation

Chenming Zhu,

Xuanye Zhang,

Yanran Li,

Liangdong Qiu,

Kai Han,

Xiaoguang Han

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhu_2022_CVPR, author = {Zhu, Chenming and Zhang, Xuanye and Li, Yanran and Qiu, Liangdong and Han, Kai and Han, Xiaoguang}, title = {SharpContour: A Contour-Based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4392-4401} }

MVS2D: Efficient Multi-View Stereo via Attention-Driven 2D Convolutions

Zhenpei Yang,

Zhile Ren,

Qi Shan,

Qixing Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Zhenpei and Ren, Zhile and Shan, Qi and Huang, Qixing}, title = {MVS2D: Efficient Multi-View Stereo via Attention-Driven 2D Convolutions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8574-8584} }

FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis

Yu Feng,

Benteng Ma,

Jing Zhang,

Shanshan Zhao,

Yong Xia,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Feng_2022_CVPR, author = {Feng, Yu and Ma, Benteng and Zhang, Jing and Zhao, Shanshan and Xia, Yong and Tao, Dacheng}, title = {FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20876-20885} }

Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement

Beomyoung Kim,

YoungJoon Yoo,

Chae Eun Rhee,

Junmo Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2022_CVPR, author = {Kim, Beomyoung and Yoo, YoungJoon and Rhee, Chae Eun and Kim, Junmo}, title = {Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4278-4287} }

Bridged Transformer for Vision and Point Cloud 3D Object Detection

Yikai Wang,

TengQi Ye,

Lele Cao,

Wenbing Huang,

Fuchun Sun,

Fengxiang He,

Dacheng Tao

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yikai and Ye, TengQi and Cao, Lele and Huang, Wenbing and Sun, Fuchun and He, Fengxiang and Tao, Dacheng}, title = {Bridged Transformer for Vision and Point Cloud 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12114-12123} }

Deep Constrained Least Squares for Blind Image Super-Resolution

Ziwei Luo,

Haibin Huang,

Lei Yu,

Youwei Li,

Haoqiang Fan,

Shuaicheng Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Luo_2022_CVPR, author = {Luo, Ziwei and Huang, Haibin and Yu, Lei and Li, Youwei and Fan, Haoqiang and Liu, Shuaicheng}, title = {Deep Constrained Least Squares for Blind Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17642-17652} }

EDTER: Edge Detection With Transformer

Mengyang Pu,

Yaping Huang,

Yuming Liu,

Qingji Guan,

Haibin Ling

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pu_2022_CVPR, author = {Pu, Mengyang and Huang, Yaping and Liu, Yuming and Guan, Qingji and Ling, Haibin}, title = {EDTER: Edge Detection With Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {1402-1412} }

Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

Lin Zhang,

Li Shen,

Liang Ding,

Dacheng Tao,

Ling-Yu Duan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Lin and Shen, Li and Ding, Liang and Tao, Dacheng and Duan, Ling-Yu}, title = {Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10174-10183} }

JIFF: Jointly-Aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction

Yukang Cao,

Guanying Chen,

Kai Han,

Wenqi Yang,

Kwan-Yee K. Wong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cao_2022_CVPR, author = {Cao, Yukang and Chen, Guanying and Han, Kai and Yang, Wenqi and Wong, Kwan-Yee K.}, title = {JIFF: Jointly-Aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2729-2739} }

Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them From 2D Renderings

Innfarn Yoo,

Huiwen Chang,

Xiyang Luo,

Ondrej Stava,

Ce Liu,

Peyman Milanfar,

Feng Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yoo_2022_CVPR, author = {Yoo, Innfarn and Chang, Huiwen and Luo, Xiyang and Stava, Ondrej and Liu, Ce and Milanfar, Peyman and Yang, Feng}, title = {Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them From 2D Renderings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10031-10040} }

Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning

Chia-Wen Kuo,

Zsolt Kira

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kuo_2022_CVPR, author = {Kuo, Chia-Wen and Kira, Zsolt}, title = {Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17969-17979} }

Symmetry-Aware Neural Architecture for Embodied Visual Exploration

Shuang Liu,

Takayuki Okatani

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Shuang and Okatani, Takayuki}, title = {Symmetry-Aware Neural Architecture for Embodied Visual Exploration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17242-17251} }

AirObject: A Temporally Evolving Graph Embedding for Object Identification

Nikhil Varma Keetha,

Chen Wang,

Yuheng Qiu,

Kuan Xu,

Sebastian Scherer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Keetha_2022_CVPR, author = {Keetha, Nikhil Varma and Wang, Chen and Qiu, Yuheng and Xu, Kuan and Scherer, Sebastian}, title = {AirObject: A Temporally Evolving Graph Embedding for Object Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8407-8416} }

From Representation to Reasoning: Towards Both Evidence and Commonsense Reasoning for Video Question-Answering

Jiangtong Li,

Li Niu,

Liqing Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2022_CVPR, author = {Li, Jiangtong and Niu, Li and Zhang, Liqing}, title = {From Representation to Reasoning: Towards Both Evidence and Commonsense Reasoning for Video Question-Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {21273-21282} }

Semantic-Aware Domain Generalized Segmentation

Duo Peng,

Yinjie Lei,

Munawar Hayat,

Yulan Guo,

Wen Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Peng_2022_CVPR, author = {Peng, Duo and Lei, Yinjie and Hayat, Munawar and Guo, Yulan and Li, Wen}, title = {Semantic-Aware Domain Generalized Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2594-2605} }

TransVPR: Transformer-Based Place Recognition With Multi-Level Attention Aggregation

Ruotong Wang,

Yanqing Shen,

Weiliang Zuo,

Sanping Zhou,

Nanning Zheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Ruotong and Shen, Yanqing and Zuo, Weiliang and Zhou, Sanping and Zheng, Nanning}, title = {TransVPR: Transformer-Based Place Recognition With Multi-Level Attention Aggregation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13648-13657} }

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

Peize Sun,

Jinkun Cao,

Yi Jiang,

Zehuan Yuan,

Song Bai,

Kris Kitani,

Ping Luo

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2022_CVPR, author = {Sun, Peize and Cao, Jinkun and Jiang, Yi and Yuan, Zehuan and Bai, Song and Kitani, Kris and Luo, Ping}, title = {DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20993-21002} }

Unsupervised Learning of Debiased Representations With Pseudo-Attributes

Seonguk Seo,

Joon-Young Lee,

Bohyung Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Seo_2022_CVPR, author = {Seo, Seonguk and Lee, Joon-Young and Han, Bohyung}, title = {Unsupervised Learning of Debiased Representations With Pseudo-Attributes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16742-16751} }

Protecting Celebrities From DeepFake With Identity Consistency Transformer

Xiaoyi Dong,

Jianmin Bao,

Dongdong Chen,

Ting Zhang,

Weiming Zhang,

Nenghai Yu,

Dong Chen,

Fang Wen,

Baining Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dong_2022_CVPR, author = {Dong, Xiaoyi and Bao, Jianmin and Chen, Dongdong and Zhang, Ting and Zhang, Weiming and Yu, Nenghai and Chen, Dong and Wen, Fang and Guo, Baining}, title = {Protecting Celebrities From DeepFake With Identity Consistency Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9468-9478} }

Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness

Giulio Lovisotto,

Nicole Finnie,

Mauricio Munoz,

Chaithanya Kumar Mummadi,

Jan Hendrik Metzen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lovisotto_2022_CVPR, author = {Lovisotto, Giulio and Finnie, Nicole and Munoz, Mauricio and Mummadi, Chaithanya Kumar and Metzen, Jan Hendrik}, title = {Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15234-15243} }

TubeDETR: Spatio-Temporal Video Grounding With Transformers

Antoine Yang,

Antoine Miech,

Josef Sivic,

Ivan Laptev,

Cordelia Schmid

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2022_CVPR, author = {Yang, Antoine and Miech, Antoine and Sivic, Josef and Laptev, Ivan and Schmid, Cordelia}, title = {TubeDETR: Spatio-Temporal Video Grounding With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16442-16453} }

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning

Shyamgopal Karthik,

Massimiliano Mancini,

Zeynep Akata

[pdf] [supp]

[bibtex]

@InProceedings{Karthik_2022_CVPR, author = {Karthik, Shyamgopal and Mancini, Massimiliano and Akata, Zeynep}, title = {KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9336-9345} }

SLIC: Self-Supervised Learning With Iterative Clustering for Human Action Videos

Salar Hosseini Khorasgani,

Yuxuan Chen,

Florian Shkurti

[pdf] [supp]

[bibtex]

@InProceedings{Khorasgani_2022_CVPR, author = {Khorasgani, Salar Hosseini and Chen, Yuxuan and Shkurti, Florian}, title = {SLIC: Self-Supervised Learning With Iterative Clustering for Human Action Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16091-16101} }

CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning

Yiqing Shen,

Yuyin Zhou,

Lequan Yu

[pdf]

[bibtex]

@InProceedings{Shen_2022_CVPR, author = {Shen, Yiqing and Zhou, Yuyin and Yu, Lequan}, title = {CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10041-10050} }

UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

Andra Acsintoae,

Andrei Florescu,

Mariana-Iuliana Georgescu,

Tudor Mare,

Paul Sumedrea,

Radu Tudor Ionescu,

Fahad Shahbaz Khan,

Mubarak Shah

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Acsintoae_2022_CVPR, author = {Acsintoae, Andra and Florescu, Andrei and Georgescu, Mariana-Iuliana and Mare, Tudor and Sumedrea, Paul and Ionescu, Radu Tudor and Khan, Fahad Shahbaz and Shah, Mubarak}, title = {UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20143-20153} }

Beyond Cross-View Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image

Yujiao Shi,

Hongdong Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2022_CVPR, author = {Shi, Yujiao and Li, Hongdong}, title = {Beyond Cross-View Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {17010-17020} }

Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation

An Xu,

Wenqi Li,

Pengfei Guo,

Dong Yang,

Holger R. Roth,

Ali Hatamizadeh,

Can Zhao,

Daguang Xu,

Heng Huang,

Ziyue Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2022_CVPR, author = {Xu, An and Li, Wenqi and Guo, Pengfei and Yang, Dong and Roth, Holger R. and Hatamizadeh, Ali and Zhao, Can and Xu, Daguang and Huang, Heng and Xu, Ziyue}, title = {Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20866-20875} }

AKB-48: A Real-World Articulated Object Knowledge Base

Liu Liu,

Wenqiang Xu,

Haoyuan Fu,

Sucheng Qian,

Qiaojun Yu,

Yang Han,

Cewu Lu

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2022_CVPR, author = {Liu, Liu and Xu, Wenqiang and Fu, Haoyuan and Qian, Sucheng and Yu, Qiaojun and Han, Yang and Lu, Cewu}, title = {AKB-48: A Real-World Articulated Object Knowledge Base}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14809-14818} }

Style-ERD: Responsive and Coherent Online Motion Style Transfer

Tianxin Tao,

Xiaohang Zhan,

Zhongquan Chen,

Michiel van de Panne

[pdf] [supp]

[bibtex]

@InProceedings{Tao_2022_CVPR, author = {Tao, Tianxin and Zhan, Xiaohang and Chen, Zhongquan and van de Panne, Michiel}, title = {Style-ERD: Responsive and Coherent Online Motion Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6593-6603} }

Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy

Tong Zhang,

Congpei Qiu,

Wei Ke,

Sabine Süsstrunk,

Mathieu Salzmann

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2022_CVPR, author = {Zhang, Tong and Qiu, Congpei and Ke, Wei and S\"usstrunk, Sabine and Salzmann, Mathieu}, title = {Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16580-16589} }

Stratified Transformer for 3D Point Cloud Segmentation

Xin Lai,

Jianhui Liu,

Li Jiang,

Liwei Wang,

Hengshuang Zhao,

Shu Liu,

Xiaojuan Qi,

Jiaya Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lai_2022_CVPR, author = {Lai, Xin and Liu, Jianhui and Jiang, Li and Wang, Liwei and Zhao, Hengshuang and Liu, Shu and Qi, Xiaojuan and Jia, Jiaya}, title = {Stratified Transformer for 3D Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8500-8509} }

NeRF in the Dark: High Dynamic Range View Synthesis From Noisy Raw Images

Ben Mildenhall,

Peter Hedman,

Ricardo Martin-Brualla,

Pratul P. Srinivasan,

Jonathan T. Barron

[pdf] [supp]

[bibtex]

@InProceedings{Mildenhall_2022_CVPR, author = {Mildenhall, Ben and Hedman, Peter and Martin-Brualla, Ricardo and Srinivasan, Pratul P. and Barron, Jonathan T.}, title = {NeRF in the Dark: High Dynamic Range View Synthesis From Noisy Raw Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16190-16199} }

DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations

Liangdong Qiu,

Chongjie Ye,

Pei Chen,

Yunbi Liu,

Xiaoguang Han,

Shuguang Cui

[pdf]

[bibtex]

@InProceedings{Qiu_2022_CVPR, author = {Qiu, Liangdong and Ye, Chongjie and Chen, Pei and Liu, Yunbi and Han, Xiaoguang and Cui, Shuguang}, title = {DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20752-20761} }

Task Decoupled Framework for Reference-Based Super-Resolution

Yixuan Huang,

Xiaoyun Zhang,

Yu Fu,

Siheng Chen,

Ya Zhang,

Yan-Feng Wang,

Dazhi He

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2022_CVPR, author = {Huang, Yixuan and Zhang, Xiaoyun and Fu, Yu and Chen, Siheng and Zhang, Ya and Wang, Yan-Feng and He, Dazhi}, title = {Task Decoupled Framework for Reference-Based Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5931-5940} }

Aug-NeRF: Training Stronger Neural Radiance Fields With Triple-Level Physically-Grounded Augmentations

Tianlong Chen,

Peihao Wang,

Zhiwen Fan,

Zhangyang Wang

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2022_CVPR, author = {Chen, Tianlong and Wang, Peihao and Fan, Zhiwen and Wang, Zhangyang}, title = {Aug-NeRF: Training Stronger Neural Radiance Fields With Triple-Level Physically-Grounded Augmentations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15191-15202} }

RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation

Fabio Tosi,

Pierluigi Zama Ramirez,

Matteo Poggi,

Samuele Salti,

Stefano Mattoccia,

Luigi Di Stefano

[pdf] [supp]

[bibtex]

@InProceedings{Tosi_2022_CVPR, author = {Tosi, Fabio and Ramirez, Pierluigi Zama and Poggi, Matteo and Salti, Samuele and Mattoccia, Stefano and Di Stefano, Luigi}, title = {RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15958-15968} }

Id-Free Person Similarity Learning

Bing Shuai,

Xinyu Li,

Kaustav Kundu,

Joseph Tighe

[pdf] [supp]

[bibtex]

@InProceedings{Shuai_2022_CVPR, author = {Shuai, Bing and Li, Xinyu and Kundu, Kaustav and Tighe, Joseph}, title = {Id-Free Person Similarity Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14689-14699} }

Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification

Wei Wu,

Jiawei Liu,

Kecheng Zheng,

Qibin Sun,

Zheng-Jun Zha

[pdf]

[bibtex]

@InProceedings{Wu_2022_CVPR, author = {Wu, Wei and Liu, Jiawei and Zheng, Kecheng and Sun, Qibin and Zha, Zheng-Jun}, title = {Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7319-7328} }

Globetrotter: Connecting Languages by Connecting Images

Dídac Surís,

Dave Epstein,

Carl Vondrick

[pdf] [supp]

[bibtex]

@InProceedings{Suris_2022_CVPR, author = {Sur{\'\i}s, D{\'\i}dac and Epstein, Dave and Vondrick, Carl}, title = {Globetrotter: Connecting Languages by Connecting Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {16474-16484} }

Fairness-Aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models

Zhibo Wang,

Xiaowei Dong,

Henry Xue,

Zhifei Zhang,

Weifeng Chiu,

Tao Wei,

Kui Ren

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Zhibo and Dong, Xiaowei and Xue, Henry and Zhang, Zhifei and Chiu, Weifeng and Wei, Tao and Ren, Kui}, title = {Fairness-Aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10379-10388} }

Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models

Feng Cheng,

Mingze Xu,

Yuanjun Xiong,

Hao Chen,

Xinyu Li,

Wei Li,

Wei Xia

[pdf] [arXiv]

[bibtex]

@InProceedings{Cheng_2022_CVPR, author = {Cheng, Feng and Xu, Mingze and Xiong, Yuanjun and Chen, Hao and Li, Xinyu and Li, Wei and Xia, Wei}, title = {Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8301-8310} }

Semantic-Shape Adaptive Feature Modulation for Semantic Image Synthesis

Zhengyao Lv,

Xiaoming Li,

Zhenxing Niu,

Bing Cao,

Wangmeng Zuo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lv_2022_CVPR, author = {Lv, Zhengyao and Li, Xiaoming and Niu, Zhenxing and Cao, Bing and Zuo, Wangmeng}, title = {Semantic-Shape Adaptive Feature Modulation for Semantic Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11214-11223} }

Egocentric Scene Understanding via Multimodal Spatial Rectifier

Tien Do,

Khiem Vuong,

Hyun Soo Park

[pdf] [supp]

[bibtex]

@InProceedings{Do_2022_CVPR, author = {Do, Tien and Vuong, Khiem and Park, Hyun Soo}, title = {Egocentric Scene Understanding via Multimodal Spatial Rectifier}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {2832-2841} }

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

Yuchao Wang,

Haochen Wang,

Yujun Shen,

Jingjing Fei,

Wei Li,

Guoqiang Jin,

Liwei Wu,

Rui Zhao,

Xinyi Le

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2022_CVPR, author = {Wang, Yuchao and Wang, Haochen and Shen, Yujun and Fei, Jingjing and Li, Wei and Jin, Guoqiang and Wu, Liwei and Zhao, Rui and Le, Xinyi}, title = {Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {4248-4257} }

Day-to-Night Image Synthesis for Training Nighttime Neural ISPs

Abhijith Punnappurath,

Abdullah Abuolaim,

Abdelrahman Abdelhamed,

Alex Levinshtein,

Michael S. Brown

[pdf] [supp]

[bibtex]

@InProceedings{Punnappurath_2022_CVPR, author = {Punnappurath, Abhijith and Abuolaim, Abdullah and Abdelhamed, Abdelrahman and Levinshtein, Alex and Brown, Michael S.}, title = {Day-to-Night Image Synthesis for Training Nighttime Neural ISPs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10769-10778} }

Commonality in Natural Images Rescues GANs: Pretraining GANs With Generic and Privacy-Free Synthetic Data

Kyungjune Baek,

Hyunjung Shim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Baek_2022_CVPR, author = {Baek, Kyungjune and Shim, Hyunjung}, title = {Commonality in Natural Images Rescues GANs: Pretraining GANs With Generic and Privacy-Free Synthetic Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7854-7864} }

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