Papers
- Back
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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?-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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?-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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?-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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?-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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-
[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- [