CVPR 2022 Open Access Repository

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Estimating Example Difficulty Using Variance of Gradients: Chirag Agarwal,

Daniel D'souza,

Sara Hooker; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Agarwal_2022_CVPR, author = {Agarwal, Chirag and D'souza, Daniel and Hooker, Sara}, title = {Estimating Example Difficulty Using Variance of Gradients}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10368-10378} }
One Loss for Quantization: Deep Hashing With Discrete Wasserstein Distributional Matching: Khoa D. Doan,

Peng Yang,

Ping Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Doan_2022_CVPR, author = {Doan, Khoa D. and Yang, Peng and Li, Ping}, title = {One Loss for Quantization: Deep Hashing With Discrete Wasserstein Distributional Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9447-9457} }
Pixel Screening Based Intermediate Correction for Blind Deblurring: Meina Zhang,

Yingying Fang,

Guoxi Ni,

Tieyong Zeng; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Meina and Fang, Yingying and Ni, Guoxi and Zeng, Tieyong}, title = {Pixel Screening Based Intermediate Correction for Blind Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5892-5900} }
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism: Binbin Yang,

Xinchi Deng,

Han Shi,

Changlin Li,

Gengwei Zhang,

Hang Xu,

Shen Zhao,

Liang Lin,

Xiaodan Liang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Binbin and Deng, Xinchi and Shi, Han and Li, Changlin and Zhang, Gengwei and Xu, Hang and Zhao, Shen and Lin, Liang and Liang, Xiaodan}, title = {Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9255-9264} }
DATA: Domain-Aware and Task-Aware Self-Supervised Learning: Qing Chang,

Junran Peng,

Lingxi Xie,

Jiajun Sun,

Haoran Yin,

Qi Tian,

Zhaoxiang Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chang_2022_CVPR, author = {Chang, Qing and Peng, Junran and Xie, Lingxi and Sun, Jiajun and Yin, Haoran and Tian, Qi and Zhang, Zhaoxiang}, title = {DATA: Domain-Aware and Task-Aware Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9841-9850} }
Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection From Point Clouds: Chenhang He,

Ruihuang Li,

Shuai Li,

Lei Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{He_2022_CVPR, author = {He, Chenhang and Li, Ruihuang and Li, Shuai and Zhang, Lei}, title = {Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection From Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8417-8427} }
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning: Xiangyu Li,

Xu Yang,

Kun Wei,

Cheng Deng,

Muli Yang; [pdf]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Xiangyu and Yang, Xu and Wei, Kun and Deng, Cheng and Yang, Muli}, title = {Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9326-9335} }
ZebraPose: Coarse To Fine Surface Encoding for 6DoF Object Pose Estimation: Yongzhi Su,

Mahdi Saleh,

Torben Fetzer,

Jason Rambach,

Nassir Navab,

Benjamin Busam,

Didier Stricker,

Federico Tombari; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Su_2022_CVPR, author = {Su, Yongzhi and Saleh, Mahdi and Fetzer, Torben and Rambach, Jason and Navab, Nassir and Busam, Benjamin and Stricker, Didier and Tombari, Federico}, title = {ZebraPose: Coarse To Fine Surface Encoding for 6DoF Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6738-6748} }
ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework: Chunnan Wang,

Xiang Chen,

Junzhe Wang,

Hongzhi Wang; [pdf]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Chunnan and Chen, Xiang and Wang, Junzhe and Wang, Hongzhi}, title = {ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6563-6572} }
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning: Moslem Yazdanpanah,

Aamer Abdul Rahman,

Muawiz Chaudhary,

Christian Desrosiers,

Mohammad Havaei,

Eugene Belilovsky,

Samira Ebrahimi Kahou; [pdf]
[bibtex]
@InProceedings{Yazdanpanah_2022_CVPR, author = {Yazdanpanah, Moslem and Rahman, Aamer Abdul and Chaudhary, Muawiz and Desrosiers, Christian and Havaei, Mohammad and Belilovsky, Eugene and Kahou, Samira Ebrahimi}, title = {Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9109-9118} }
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization: Yabin Zhang,

Minghan Li,

Ruihuang Li,

Kui Jia,

Lei Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yabin and Li, Minghan and Li, Ruihuang and Jia, Kui and Zhang, Lei}, title = {Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8035-8045} }
Balanced and Hierarchical Relation Learning for One-Shot Object Detection: Hanqing Yang,

Sijia Cai,

Hualian Sheng,

Bing Deng,

Jianqiang Huang,

Xian-Sheng Hua,

Yong Tang,

Yu Zhang; [pdf]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Hanqing and Cai, Sijia and Sheng, Hualian and Deng, Bing and Huang, Jianqiang and Hua, Xian-Sheng and Tang, Yong and Zhang, Yu}, title = {Balanced and Hierarchical Relation Learning for One-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7591-7600} }
Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts: Chongzhi Zhang,

Mingyuan Zhang,

Shanghang Zhang,

Daisheng Jin,

Qiang Zhou,

Zhongang Cai,

Haiyu Zhao,

Xianglong Liu,

Ziwei Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Chongzhi and Zhang, Mingyuan and Zhang, Shanghang and Jin, Daisheng and Zhou, Qiang and Cai, Zhongang and Zhao, Haiyu and Liu, Xianglong and Liu, Ziwei}, title = {Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7277-7286} }
HyperDet3D: Learning a Scene-Conditioned 3D Object Detector: Yu Zheng,

Yueqi Duan,

Jiwen Lu,

Jie Zhou,

Qi Tian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zheng_2022_CVPR, author = {Zheng, Yu and Duan, Yueqi and Lu, Jiwen and Zhou, Jie and Tian, Qi}, title = {HyperDet3D: Learning a Scene-Conditioned 3D Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5585-5594} }
Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging: Shuangrui Ding,

Maomao Li,

Tianyu Yang,

Rui Qian,

Haohang Xu,

Qingyi Chen,

Jue Wang,

Hongkai Xiong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ding_2022_CVPR, author = {Ding, Shuangrui and Li, Maomao and Yang, Tianyu and Qian, Rui and Xu, Haohang and Chen, Qingyi and Wang, Jue and Xiong, Hongkai}, title = {Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9716-9726} }
DINE: Domain Adaptation From Single and Multiple Black-Box Predictors: Jian Liang,

Dapeng Hu,

Jiashi Feng,

Ran He; [pdf] [arXiv]
[bibtex]
@InProceedings{Liang_2022_CVPR, author = {Liang, Jian and Hu, Dapeng and Feng, Jiashi and He, Ran}, title = {DINE: Domain Adaptation From Single and Multiple Black-Box Predictors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8003-8013} }
Multi-View Mesh Reconstruction With Neural Deferred Shading: Markus Worchel,

Rodrigo Diaz,

Weiwen Hu,

Oliver Schreer,

Ingo Feldmann,

Peter Eisert; [pdf] [supp]
[bibtex]
@InProceedings{Worchel_2022_CVPR, author = {Worchel, Markus and Diaz, Rodrigo and Hu, Weiwen and Schreer, Oliver and Feldmann, Ingo and Eisert, Peter}, title = {Multi-View Mesh Reconstruction With Neural Deferred Shading}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6187-6197} }
High-Resolution Face Swapping via Latent Semantics Disentanglement: Yangyang Xu,

Bailin Deng,

Junle Wang,

Yanqing Jing,

Jia Pan,

Shengfeng He; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Yangyang and Deng, Bailin and Wang, Junle and Jing, Yanqing and Pan, Jia and He, Shengfeng}, title = {High-Resolution Face Swapping via Latent Semantics Disentanglement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7642-7651} }
Deep Vanishing Point Detection: Geometric Priors Make Dataset Variations Vanish: Yancong Lin,

Ruben Wiersma,

Silvia L. Pintea,

Klaus Hildebrandt,

Elmar Eisemann,

Jan C. van Gemert; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2022_CVPR, author = {Lin, Yancong and Wiersma, Ruben and Pintea, Silvia L. and Hildebrandt, Klaus and Eisemann, Elmar and van Gemert, Jan C.}, title = {Deep Vanishing Point Detection: Geometric Priors Make Dataset Variations Vanish}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6103-6113} }
Neural Compression-Based Feature Learning for Video Restoration: Cong Huang,

Jiahao Li,

Bin Li,

Dong Liu,

Yan Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2022_CVPR, author = {Huang, Cong and Li, Jiahao and Li, Bin and Liu, Dong and Lu, Yan}, title = {Neural Compression-Based Feature Learning for Video Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5872-5881} }
Expanding Low-Density Latent Regions for Open-Set Object Detection: Jiaming Han,

Yuqiang Ren,

Jian Ding,

Xingjia Pan,

Ke Yan,

Gui-Song Xia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Han_2022_CVPR, author = {Han, Jiaming and Ren, Yuqiang and Ding, Jian and Pan, Xingjia and Yan, Ke and Xia, Gui-Song}, title = {Expanding Low-Density Latent Regions for Open-Set Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9591-9600} }
Exploring Dual-Task Correlation for Pose Guided Person Image Generation: Pengze Zhang,

Lingxiao Yang,

Jian-Huang Lai,

Xiaohua Xie; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Pengze and Yang, Lingxiao and Lai, Jian-Huang and Xie, Xiaohua}, title = {Exploring Dual-Task Correlation for Pose Guided Person Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7713-7722} }
Neural Rays for Occlusion-Aware Image-Based Rendering: Yuan Liu,

Sida Peng,

Lingjie Liu,

Qianqian Wang,

Peng Wang,

Christian Theobalt,

Xiaowei Zhou,

Wenping Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2022_CVPR, author = {Liu, Yuan and Peng, Sida and Liu, Lingjie and Wang, Qianqian and Wang, Peng and Theobalt, Christian and Zhou, Xiaowei and Wang, Wenping}, title = {Neural Rays for Occlusion-Aware Image-Based Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7824-7833} }
Modeling 3D Layout for Group Re-Identification: Quan Zhang,

Kaiheng Dang,

Jian-Huang Lai,

Zhanxiang Feng,

Xiaohua Xie; [pdf]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Quan and Dang, Kaiheng and Lai, Jian-Huang and Feng, Zhanxiang and Xie, Xiaohua}, title = {Modeling 3D Layout for Group Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7512-7520} }
Toward Fast, Flexible, and Robust Low-Light Image Enhancement: Long Ma,

Tengyu Ma,

Risheng Liu,

Xin Fan,

Zhongxuan Luo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ma_2022_CVPR, author = {Ma, Long and Ma, Tengyu and Liu, Risheng and Fan, Xin and Luo, Zhongxuan}, title = {Toward Fast, Flexible, and Robust Low-Light Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5637-5646} }
Highly-Efficient Incomplete Large-Scale Multi-View Clustering With Consensus Bipartite Graph: Siwei Wang,

Xinwang Liu,

Li Liu,

Wenxuan Tu,

Xinzhong Zhu,

Jiyuan Liu,

Sihang Zhou,

En Zhu; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Siwei and Liu, Xinwang and Liu, Li and Tu, Wenxuan and Zhu, Xinzhong and Liu, Jiyuan and Zhou, Sihang and Zhu, En}, title = {Highly-Efficient Incomplete Large-Scale Multi-View Clustering With Consensus Bipartite Graph}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9776-9785} }
Towards Principled Disentanglement for Domain Generalization: Hanlin Zhang,

Yi-Fan Zhang,

Weiyang Liu,

Adrian Weller,

Bernhard Schölkopf,

Eric P. Xing; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Hanlin and Zhang, Yi-Fan and Liu, Weiyang and Weller, Adrian and Sch\"olkopf, Bernhard and Xing, Eric P.}, title = {Towards Principled Disentanglement for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8024-8034} }
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution: Zixiang Zhao,

Jiangshe Zhang,

Shuang Xu,

Zudi Lin,

Hanspeter Pfister; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2022_CVPR, author = {Zhao, Zixiang and Zhang, Jiangshe and Xu, Shuang and Lin, Zudi and Pfister, Hanspeter}, title = {Discrete Cosine Transform Network for Guided Depth Map Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5697-5707} }
Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects: Manuel Stoiber,

Martin Sundermeyer,

Rudolph Triebel; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Stoiber_2022_CVPR, author = {Stoiber, Manuel and Sundermeyer, Martin and Triebel, Rudolph}, title = {Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6855-6865} }
Multi-Instance Point Cloud Registration by Efficient Correspondence Clustering: Weixuan Tang,

Danping Zou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2022_CVPR, author = {Tang, Weixuan and Zou, Danping}, title = {Multi-Instance Point Cloud Registration by Efficient Correspondence Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6667-6676} }
Contrastive Boundary Learning for Point Cloud Segmentation: Liyao Tang,

Yibing Zhan,

Zhe Chen,

Baosheng Yu,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2022_CVPR, author = {Tang, Liyao and Zhan, Yibing and Chen, Zhe and Yu, Baosheng and Tao, Dacheng}, title = {Contrastive Boundary Learning for Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8489-8499} }
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution: Jie Liang,

Hui Zeng,

Lei Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liang_2022_CVPR, author = {Liang, Jie and Zeng, Hui and Zhang, Lei}, title = {Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5657-5666} }
Projective Manifold Gradient Layer for Deep Rotation Regression: Jiayi Chen,

Yingda Yin,

Tolga Birdal,

Baoquan Chen,

Leonidas J. Guibas,

He Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2022_CVPR, author = {Chen, Jiayi and Yin, Yingda and Birdal, Tolga and Chen, Baoquan and Guibas, Leonidas J. and Wang, He}, title = {Projective Manifold Gradient Layer for Deep Rotation Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6646-6655} }
It's Time for Artistic Correspondence in Music and Video: Dídac Surís,

Carl Vondrick,

Bryan Russell,

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

Alessandro Achille,

Yu-Xiang Wang,

Aaron Roth,

Michael Kearns,

Stefano Soatto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Golatkar_2022_CVPR, author = {Golatkar, Aditya and Achille, Alessandro and Wang, Yu-Xiang and Roth, Aaron and Kearns, Michael and Soatto, Stefano}, title = {Mixed Differential Privacy in Computer Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8376-8386} }
HCSC: Hierarchical Contrastive Selective Coding: Yuanfan Guo,

Minghao Xu,

Jiawen Li,

Bingbing Ni,

Xuanyu Zhu,

Zhenbang Sun,

Yi Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Guo_2022_CVPR, author = {Guo, Yuanfan and Xu, Minghao and Li, Jiawen and Ni, Bingbing and Zhu, Xuanyu and Sun, Zhenbang and Xu, Yi}, title = {HCSC: Hierarchical Contrastive Selective Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9706-9715} }
KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos: David Novotny,

Ignacio Rocco,

Samarth Sinha,

Alexandre Carlier,

Gael Kerchenbaum,

Roman Shapovalov,

Nikita Smetanin,

Natalia Neverova,

Benjamin Graham,

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

Tatsuya Harada; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Yang and Harada, Tatsuya}, title = {Lepard: Learning Partial Point Cloud Matching in Rigid and Deformable Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5554-5564} }
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference: Shell Xu Hu,

Da Li,

Jan Stühmer,

Minyoung Kim,

Timothy M. Hospedales; [pdf] [supp]
[bibtex]
@InProceedings{Hu_2022_CVPR, author = {Hu, Shell Xu and Li, Da and St\"uhmer, Jan and Kim, Minyoung and Hospedales, Timothy M.}, title = {Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9068-9077} }
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention: Shengheng Deng,

Zhihao Liang,

Lin Sun,

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

Yu-Chuan Su,

Chun-Te Chu,

Yandong Li,

Marius Renn,

Yukun Zhu,

Changyou Chen,

Xuhui Jia; [pdf] [supp]
[bibtex]
@InProceedings{Zhao_2022_CVPR, author = {Zhao, Yang and Su, Yu-Chuan and Chu, Chun-Te and Li, Yandong and Renn, Marius and Zhu, Yukun and Chen, Changyou and Jia, Xuhui}, title = {Rethinking Deep Face Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7652-7661} }
A Study on the Distribution of Social Biases in Self-Supervised Learning Visual Models: Kirill Sirotkin,

Pablo Carballeira,

Marcos Escudero-Viñolo; [pdf] [supp]
[bibtex]
@InProceedings{Sirotkin_2022_CVPR, author = {Sirotkin, Kirill and Carballeira, Pablo and Escudero-Vi\~nolo, Marcos}, title = {A Study on the Distribution of Social Biases in Self-Supervised Learning Visual Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10442-10451} }
On the Instability of Relative Pose Estimation and RANSAC's Role: Hongyi Fan,

Joe Kileel,

Benjamin Kimia; [pdf] [supp]
[bibtex]
@InProceedings{Fan_2022_CVPR, author = {Fan, Hongyi and Kileel, Joe and Kimia, Benjamin}, title = {On the Instability of Relative Pose Estimation and RANSAC's Role}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8935-8943} }
SNUG: Self-Supervised Neural Dynamic Garments: Igor Santesteban,

Miguel A. Otaduy,

Dan Casas; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Santesteban_2022_CVPR, author = {Santesteban, Igor and Otaduy, Miguel A. and Casas, Dan}, title = {SNUG: Self-Supervised Neural Dynamic Garments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8140-8150} }
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation: Binhui Xie,

Longhui Yuan,

Shuang Li,

Chi Harold Liu,

Xinjing Cheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xie_2022_CVPR, author = {Xie, Binhui and Yuan, Longhui and Li, Shuang and Liu, Chi Harold and Cheng, Xinjing}, title = {Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8068-8078} }
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding: Mohamed Afham,

Isuru Dissanayake,

Dinithi Dissanayake,

Amaya Dharmasiri,

Kanchana Thilakarathna,

Ranga Rodrigo; [pdf] [arXiv]
[bibtex]
@InProceedings{Afham_2022_CVPR, author = {Afham, Mohamed and Dissanayake, Isuru and Dissanayake, Dinithi and Dharmasiri, Amaya and Thilakarathna, Kanchana and Rodrigo, Ranga}, title = {CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9902-9912} }
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection: Jiaxi Wu,

Jiaxin Chen,

Mengzhe He,

Yiru Wang,

Bo Li,

Bingqi Ma,

Weihao Gan,

Wei Wu,

Yali Wang,

Di Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2022_CVPR, author = {Wu, Jiaxi and Chen, Jiaxin and He, Mengzhe and Wang, Yiru and Li, Bo and Ma, Bingqi and Gan, Weihao and Wu, Wei and Wang, Yali and Huang, Di}, title = {Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5301-5310} }
Safe Self-Refinement for Transformer-Based Domain Adaptation: Tao Sun,

Cheng Lu,

Tianshuo Zhang,

Haibin Ling; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2022_CVPR, author = {Sun, Tao and Lu, Cheng and Zhang, Tianshuo and Ling, Haibin}, title = {Safe Self-Refinement for Transformer-Based Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7191-7200} }
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions: Lukas Höllein,

Justin Johnson,

Matthias Nießner; [pdf] [supp]
[bibtex]
@InProceedings{Hollein_2022_CVPR, author = {H\"ollein, Lukas and Johnson, Justin and Nie{\ss}ner, Matthias}, title = {StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6198-6208} }
Which Model To Transfer? Finding the Needle in the Growing Haystack: Cedric Renggli,

André Susano Pinto,

Luka Rimanic,

Joan Puigcerver,

Carlos Riquelme,

Ce Zhang,

Mario Lučić; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Renggli_2022_CVPR, author = {Renggli, Cedric and Pinto, Andr\'e Susano and Rimanic, Luka and Puigcerver, Joan and Riquelme, Carlos and Zhang, Ce and Lu\v{c}i\'c, Mario}, title = {Which Model To Transfer? Finding the Needle in the Growing Haystack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9205-9214} }
Class-Incremental Learning With Strong Pre-Trained Models: Tz-Ying Wu,

Gurumurthy Swaminathan,

Zhizhong Li,

Avinash Ravichandran,

Nuno Vasconcelos,

Rahul Bhotika,

Stefano Soatto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2022_CVPR, author = {Wu, Tz-Ying and Swaminathan, Gurumurthy and Li, Zhizhong and Ravichandran, Avinash and Vasconcelos, Nuno and Bhotika, Rahul and Soatto, Stefano}, title = {Class-Incremental Learning With Strong Pre-Trained Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9601-9610} }
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials From Photometric Images: Kai Zhang,

Fujun Luan,

Zhengqi Li,

Noah Snavely; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Kai and Luan, Fujun and Li, Zhengqi and Snavely, Noah}, title = {IRON: Inverse Rendering by Optimizing Neural SDFs and Materials From Photometric Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5565-5574} }
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer: Ruohan Gao,

Zilin Si,

Yen-Yu Chang,

Samuel Clarke,

Jeannette Bohg,

Li Fei-Fei,

Wenzhen Yuan,

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

Renaud Marlet; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Boulch_2022_CVPR, author = {Boulch, Alexandre and Marlet, Renaud}, title = {POCO: Point Convolution for Surface Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6302-6314} }
Few-Shot Font Generation by Learning Fine-Grained Local Styles: Licheng Tang,

Yiyang Cai,

Jiaming Liu,

Zhibin Hong,

Mingming Gong,

Minhu Fan,

Junyu Han,

Jingtuo Liu,

Errui Ding,

Jingdong Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2022_CVPR, author = {Tang, Licheng and Cai, Yiyang and Liu, Jiaming and Hong, Zhibin and Gong, Mingming and Fan, Minhu and Han, Junyu and Liu, Jingtuo and Ding, Errui and Wang, Jingdong}, title = {Few-Shot Font Generation by Learning Fine-Grained Local Styles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7895-7904} }
DiffPoseNet: Direct Differentiable Camera Pose Estimation: Chethan M. Parameshwara,

Gokul Hari,

Cornelia Fermüller,

Nitin J. Sanket,

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

Emily J. King,

Chris Peterson,

Michael Kirby; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mankovich_2022_CVPR, author = {Mankovich, Nathan and King, Emily J. and Peterson, Chris and Kirby, Michael}, title = {The Flag Median and FlagIRLS}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10339-10347} }
FENeRF: Face Editing in Neural Radiance Fields: Jingxiang Sun,

Xuan Wang,

Yong Zhang,

Xiaoyu Li,

Qi Zhang,

Yebin Liu,

Jue Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2022_CVPR, author = {Sun, Jingxiang and Wang, Xuan and Zhang, Yong and Li, Xiaoyu and Zhang, Qi and Liu, Yebin and Wang, Jue}, title = {FENeRF: Face Editing in Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7672-7682} }
Remember Intentions: Retrospective-Memory-Based Trajectory Prediction: Chenxin Xu,

Weibo Mao,

Wenjun Zhang,

Siheng Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Chenxin and Mao, Weibo and Zhang, Wenjun and Chen, Siheng}, title = {Remember Intentions: Retrospective-Memory-Based Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6488-6497} }
A Framework for Learning Ante-Hoc Explainable Models via Concepts: Anirban Sarkar,

Deepak Vijaykeerthy,

Anindya Sarkar,

Vineeth N Balasubramanian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sarkar_2022_CVPR, author = {Sarkar, Anirban and Vijaykeerthy, Deepak and Sarkar, Anindya and Balasubramanian, Vineeth N}, title = {A Framework for Learning Ante-Hoc Explainable Models via Concepts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10286-10295} }
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning: Liangqiong Qu,

Yuyin Zhou,

Paul Pu Liang,

Yingda Xia,

Feifei Wang,

Ehsan Adeli,

Li Fei-Fei,

Daniel Rubin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qu_2022_CVPR, author = {Qu, Liangqiong and Zhou, Yuyin and Liang, Paul Pu and Xia, Yingda and Wang, Feifei and Adeli, Ehsan and Fei-Fei, Li and Rubin, Daniel}, title = {Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10061-10071} }
Global Sensing and Measurements Reuse for Image Compressed Sensing: Zi-En Fan,

Feng Lian,

Jia-Ni Quan; [pdf] [arXiv ]
[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} }
Convolutions for Spatial Interaction Modeling: Zhaoen Su,

Chao Wang,

David Bradley,

Carlos Vallespi-Gonzalez,

Carl Wellington,

Nemanja Djuric; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Su_2022_CVPR, author = {Su, Zhaoen and Wang, Chao and Bradley, David and Vallespi-Gonzalez, Carlos and Wellington, Carl and Djuric, Nemanja}, title = {Convolutions for Spatial Interaction Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6583-6592} }
Distinguishing Unseen From Seen for Generalized Zero-Shot Learning: Hongzu Su,

Jingjing Li,

Zhi Chen,

Lei Zhu,

Ke Lu; [pdf]
[bibtex]
@InProceedings{Su_2022_CVPR, author = {Su, Hongzu and Li, Jingjing and Chen, Zhi and Zhu, Lei and Lu, Ke}, title = {Distinguishing Unseen From Seen for Generalized Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7885-7894} }
Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries: Jihwan Bang,

Hyunseo Koh,

Seulki Park,

Hwanjun Song,

Jung-Woo Ha,

Jonghyun Choi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bang_2022_CVPR, author = {Bang, Jihwan and Koh, Hyunseo and Park, Seulki and Song, Hwanjun and Ha, Jung-Woo and Choi, Jonghyun}, title = {Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9275-9284} }
Learning To Imagine: Diversify Memory for Incremental Learning Using Unlabeled Data: Yu-Ming Tang,

Yi-Xing Peng,

Wei-Shi Zheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2022_CVPR, author = {Tang, Yu-Ming and Peng, Yi-Xing and Zheng, Wei-Shi}, title = {Learning To Imagine: Diversify Memory for Incremental Learning Using Unlabeled Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9549-9558} }
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation: Fan Wang,

Zhongyi Han,

Yongshun Gong,

Yilong Yin; [pdf]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Fan and Han, Zhongyi and Gong, Yongshun and Yin, Yilong}, title = {Exploring Domain-Invariant Parameters for Source Free Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7151-7160} }
C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection: Tong Wang,

Yousong Zhu,

Yingying Chen,

Chaoyang Zhao,

Bin Yu,

Jinqiao Wang,

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

Ke Xu,

Xin Yang,

Lin Du,

Baocai Yin,

Rynson W.H. Lau; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tian_2022_CVPR, author = {Tian, Xin and Xu, Ke and Yang, Xin and Du, Lin and Yin, Baocai and Lau, Rynson W.H.}, title = {Bi-Directional Object-Context Prioritization Learning for Saliency Ranking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5882-5891} }
What Do Navigation Agents Learn About Their Environment?: Kshitij Dwivedi,

Gemma Roig,

Aniruddha Kembhavi,

Roozbeh Mottaghi; [pdf] [supp]
[bibtex]
@InProceedings{Dwivedi_2022_CVPR, author = {Dwivedi, Kshitij and Roig, Gemma and Kembhavi, Aniruddha and Mottaghi, Roozbeh}, title = {What Do Navigation Agents Learn About Their Environment?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10276-10285} }
CoordGAN: Self-Supervised Dense Correspondences Emerge From GANs: Jiteng Mu,

Shalini De Mello,

Zhiding Yu,

Nuno Vasconcelos,

Xiaolong Wang,

Jan Kautz,

Sifei Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mu_2022_CVPR, author = {Mu, Jiteng and De Mello, Shalini and Yu, Zhiding and Vasconcelos, Nuno and Wang, Xiaolong and Kautz, Jan and Liu, Sifei}, title = {CoordGAN: Self-Supervised Dense Correspondences Emerge From GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10011-10020} }
PSMNet: Position-Aware Stereo Merging Network for Room Layout Estimation: Haiyan Wang,

Will Hutchcroft,

Yuguang Li,

Zhiqiang Wan,

Ivaylo Boyadzhiev,

Yingli Tian,

Sing Bing Kang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Haiyan and Hutchcroft, Will and Li, Yuguang and Wan, Zhiqiang and Boyadzhiev, Ivaylo and Tian, Yingli and Kang, Sing Bing}, title = {PSMNet: Position-Aware Stereo Merging Network for Room Layout Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8616-8625} }
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-Shot Learning: Yangji He,

Weihan Liang,

Dongyang Zhao,

Hong-Yu Zhou,

Weifeng Ge,

Yizhou Yu,

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

Kai Han,

Andrea Vedaldi,

Andrew Zisserman; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Vaze_2022_CVPR, author = {Vaze, Sagar and Han, Kai and Vedaldi, Andrea and Zisserman, Andrew}, title = {Generalized Category Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7492-7501} }
Maximum Consensus by Weighted Influences of Monotone Boolean Functions: Erchuan Zhang,

David Suter,

Ruwan Tennakoon,

Tat-Jun Chin,

Alireza Bab-Hadiashar,

Giang Truong,

Syed Zulqarnain Gilani; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Erchuan and Suter, David and Tennakoon, Ruwan and Chin, Tat-Jun and Bab-Hadiashar, Alireza and Truong, Giang and Gilani, Syed Zulqarnain}, title = {Maximum Consensus by Weighted Influences of Monotone Boolean Functions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8964-8972} }
TransforMatcher: Match-to-Match Attention for Semantic Correspondence: Seungwook Kim,

Juhong Min,

Minsu Cho; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2022_CVPR, author = {Kim, Seungwook and Min, Juhong and Cho, Minsu}, title = {TransforMatcher: Match-to-Match Attention for Semantic Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8697-8707} }
Robust Outlier Detection by De-Biasing VAE Likelihoods: Kushal Chauhan,

Barath Mohan U,

Pradeep Shenoy,

Manish Gupta,

Devarajan Sridharan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chauhan_2022_CVPR, author = {Chauhan, Kushal and U, Barath Mohan and Shenoy, Pradeep and Gupta, Manish and Sridharan, Devarajan}, title = {Robust Outlier Detection by De-Biasing VAE Likelihoods}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9881-9890} }
Point2Seq: Detecting 3D Objects As Sequences: Yujing Xue,

Jiageng Mao,

Minzhe Niu,

Hang Xu,

Michael Bi Mi,

Wei Zhang,

Xiaogang Wang,

Xinchao Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xue_2022_CVPR, author = {Xue, Yujing and Mao, Jiageng and Niu, Minzhe and Xu, Hang and Mi, Michael Bi and Zhang, Wei and Wang, Xiaogang and Wang, Xinchao}, title = {Point2Seq: Detecting 3D Objects As Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8521-8530} }
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition: Shiyuan Huang,

Jiawei Ma,

Guangxing Han,

Shih-Fu Chang; [pdf] [supp]
[bibtex]
@InProceedings{Huang_2022_CVPR, author = {Huang, Shiyuan and Ma, Jiawei and Han, Guangxing and Chang, Shih-Fu}, title = {Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7171-7180} }
MixFormer: Mixing Features Across Windows and Dimensions: Qiang Chen,

Qiman Wu,

Jian Wang,

Qinghao Hu,

Tao Hu,

Errui Ding,

Jian Cheng,

Jingdong Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2022_CVPR, author = {Chen, Qiang and Wu, Qiman and Wang, Jian and Hu, Qinghao and Hu, Tao and Ding, Errui and Cheng, Jian and Wang, Jingdong}, title = {MixFormer: Mixing Features Across Windows and Dimensions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5249-5259} }
Contextual Similarity Distillation for Asymmetric Image Retrieval: Hui Wu,

Min Wang,

Wengang Zhou,

Houqiang Li,

Qi Tian; [pdf]
[bibtex]
@InProceedings{Wu_2022_CVPR, author = {Wu, Hui and Wang, Min and Zhou, Wengang and Li, Houqiang and Tian, Qi}, title = {Contextual Similarity Distillation for Asymmetric Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9489-9498} }
DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning: Youngtaek Oh,

Dong-Jin Kim,

In So Kweon; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Oh_2022_CVPR, author = {Oh, Youngtaek and Kim, Dong-Jin and Kweon, In So}, title = {DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9786-9796} }
Mobile-Former: Bridging MobileNet and Transformer: Yinpeng Chen,

Xiyang Dai,

Dongdong Chen,

Mengchen Liu,

Xiaoyi Dong,

Lu Yuan,

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

Sinisa Todorovic; [pdf] [supp]
[bibtex]
@InProceedings{He_2022_CVPR, author = {He, Liqiang and Todorovic, Sinisa}, title = {DESTR: Object Detection With Split Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9377-9386} }
IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo: Fangjinhua Wang,

Silvano Galliani,

Christoph Vogel,

Marc Pollefeys; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Fangjinhua and Galliani, Silvano and Vogel, Christoph and Pollefeys, Marc}, title = {IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8606-8615} }
FedCorr: Multi-Stage Federated Learning for Label Noise Correction: Jingyi Xu,

Zihan Chen,

Tony Q.S. Quek,

Kai Fong Ernest Chong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Jingyi and Chen, Zihan and Quek, Tony Q.S. and Chong, Kai Fong Ernest}, title = {FedCorr: Multi-Stage Federated Learning for Label Noise Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10184-10193} }
Source-Free Object Detection by Learning To Overlook Domain Style: Shuaifeng Li,

Mao Ye,

Xiatian Zhu,

Lihua Zhou,

Lin Xiong; [pdf]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Shuaifeng and Ye, Mao and Zhu, Xiatian and Zhou, Lihua and Xiong, Lin}, title = {Source-Free Object Detection by Learning To Overlook Domain Style}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8014-8023} }
SceneSqueezer: Learning To Compress Scene for Camera Relocalization: Luwei Yang,

Rakesh Shrestha,

Wenbo Li,

Shuaicheng Liu,

Guofeng Zhang,

Zhaopeng Cui,

Ping Tan; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Luwei and Shrestha, Rakesh and Li, Wenbo and Liu, Shuaicheng and Zhang, Guofeng and Cui, Zhaopeng and Tan, Ping}, title = {SceneSqueezer: Learning To Compress Scene for Camera Relocalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8259-8268} }
SelfRecon: Self Reconstruction Your Digital Avatar From Monocular Video: Boyi Jiang,

Yang Hong,

Hujun Bao,

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

Victor G. Turrisi da Costa,

Xavier Alameda-Pineda,

Elisa Ricci,

Karteek Alahari,

Julien Mairal; [pdf] [supp]
[bibtex]
@InProceedings{Fini_2022_CVPR, author = {Fini, Enrico and da Costa, Victor G. Turrisi and Alameda-Pineda, Xavier and Ricci, Elisa and Alahari, Karteek and Mairal, Julien}, title = {Self-Supervised Models Are Continual Learners}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9621-9630} }
Dreaming To Prune Image Deraining Networks: Weiqi Zou,

Yang Wang,

Xueyang Fu,

Yang Cao; [pdf] [supp]
[bibtex]
@InProceedings{Zou_2022_CVPR, author = {Zou, Weiqi and Wang, Yang and Fu, Xueyang and Cao, Yang}, title = {Dreaming To Prune Image Deraining Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6023-6032} }
Exploiting Explainable Metrics for Augmented SGD: Mahdi S. Hosseini,

Mathieu Tuli,

Konstantinos N. Plataniotis; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hosseini_2022_CVPR, author = {Hosseini, Mahdi S. and Tuli, Mathieu and Plataniotis, Konstantinos N.}, title = {Exploiting Explainable Metrics for Augmented SGD}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10296-10306} }
Improving Neural Implicit Surfaces Geometry With Patch Warping: François Darmon,

Bénédicte Bascle,

Jean-Clément Devaux,

Pascal Monasse,

Mathieu Aubry; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Darmon_2022_CVPR, author = {Darmon, Fran\c{c}ois and Bascle, B\'en\'edicte and Devaux, Jean-Cl\'ement and Monasse, Pascal and Aubry, Mathieu}, title = {Improving Neural Implicit Surfaces Geometry With Patch Warping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6260-6269} }
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism: Jiahui Lei,

Kostas Daniilidis; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lei_2022_CVPR, author = {Lei, Jiahui and Daniilidis, Kostas}, title = {CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6624-6634} }
Layer-Wised Model Aggregation for Personalized Federated Learning: Xiaosong Ma,

Jie Zhang,

Song Guo,

Wenchao Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ma_2022_CVPR, author = {Ma, Xiaosong and Zhang, Jie and Guo, Song and Xu, Wenchao}, title = {Layer-Wised Model Aggregation for Personalized Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10092-10101} }
A Unified Query-Based Paradigm for Point Cloud Understanding: Zetong Yang,

Li Jiang,

Yanan Sun,

Bernt Schiele,

Jiaya Jia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Zetong and Jiang, Li and Sun, Yanan and Schiele, Bernt and Jia, Jiaya}, title = {A Unified Query-Based Paradigm for Point Cloud Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8541-8551} }
Multi-Object Tracking Meets Moving UAV: Shuai Liu,

Xin Li,

Huchuan Lu,

You He; [pdf]
[bibtex]
@InProceedings{Liu_2022_CVPR, author = {Liu, Shuai and Li, Xin and Lu, Huchuan and He, You}, title = {Multi-Object Tracking Meets Moving UAV}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8876-8885} }
REGTR: End-to-End Point Cloud Correspondences With Transformers: Zi Jian Yew,

Gim Hee Lee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yew_2022_CVPR, author = {Yew, Zi Jian and Lee, Gim Hee}, title = {REGTR: End-to-End Point Cloud Correspondences With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6677-6686} }
Neural 3D Scene Reconstruction With the Manhattan-World Assumption: Haoyu Guo,

Sida Peng,

Haotong Lin,

Qianqian Wang,

Guofeng Zhang,

Hujun Bao,

Xiaowei Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Guo_2022_CVPR, author = {Guo, Haoyu and Peng, Sida and Lin, Haotong and Wang, Qianqian and Zhang, Guofeng and Bao, Hujun and Zhou, Xiaowei}, title = {Neural 3D Scene Reconstruction With the Manhattan-World Assumption}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5511-5520} }
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses: Bastian Wandt,

James J. Little,

Helge Rhodin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wandt_2022_CVPR, author = {Wandt, Bastian and Little, James J. and Rhodin, Helge}, title = {ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6635-6645} }
IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment: Yiming Zeng,

Yue Qian,

Qijian Zhang,

Junhui Hou,

Yixuan Yuan,

Ying He; [pdf] [supp]
[bibtex]
@InProceedings{Zeng_2022_CVPR, author = {Zeng, Yiming and Qian, Yue and Zhang, Qijian and Hou, Junhui and Yuan, Yixuan and He, Ying}, title = {IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6338-6347} }
UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning: Nazmul Karim,

Mamshad Nayeem Rizve,

Nazanin Rahnavard,

Ajmal Mian,

Mubarak Shah; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Karim_2022_CVPR, author = {Karim, Nazmul and Rizve, Mamshad Nayeem and Rahnavard, Nazanin and Mian, Ajmal and Shah, Mubarak}, title = {UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9676-9686} }
One-Bit Active Query With Contrastive Pairs: Yuhang Zhang,

Xiaopeng Zhang,

Lingxi Xie,

Jie Li,

Robert C. Qiu,

Hengtong Hu,

Qi Tian; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yuhang and Zhang, Xiaopeng and Xie, Lingxi and Li, Jie and Qiu, Robert C. and Hu, Hengtong and Tian, Qi}, title = {One-Bit Active Query With Contrastive Pairs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9697-9705} }
Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection: Yibo Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2022_CVPR, author = {Zhou, Yibo}, title = {Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7379-7387} }
E-CIR: Event-Enhanced Continuous Intensity Recovery: Chen Song,

Qixing Huang,

Chandrajit Bajaj; [pdf]
[bibtex]
@InProceedings{Song_2022_CVPR, author = {Song, Chen and Huang, Qixing and Bajaj, Chandrajit}, title = {E-CIR: Event-Enhanced Continuous Intensity Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7803-7812} }
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond: Yi Yu,

Wenhan Yang,

Yap-Peng Tan,

Alex C. Kot; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2022_CVPR, author = {Yu, Yi and Yang, Wenhan and Tan, Yap-Peng and Kot, Alex C.}, title = {Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6013-6022} }
AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception: Shaoyu Chen,

Xinggang Wang,

Tianheng Cheng,

Wenqiang Zhang,

Qian Zhang,

Chang Huang,

Wenyu Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2022_CVPR, author = {Chen, Shaoyu and Wang, Xinggang and Cheng, Tianheng and Zhang, Wenqiang and Zhang, Qian and Huang, Chang and Liu, Wenyu}, title = {AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6387-6396} }
Surface Reconstruction From Point Clouds by Learning Predictive Context Priors: Baorui Ma,

Yu-Shen Liu,

Matthias Zwicker,

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

Benjamin Thérien,

Laurent Alsène-Racicot,

Muawiz Chaudhary,

Irina Rish,

Eugene Belilovsky,

Michael Eickenberg,

Guy Wolf; [pdf] [supp]
[bibtex]
@InProceedings{Gauthier_2022_CVPR, author = {Gauthier, Shanel and Th\'erien, Benjamin and Als\`ene-Racicot, Laurent and Chaudhary, Muawiz and Rish, Irina and Belilovsky, Eugene and Eickenberg, Michael and Wolf, Guy}, title = {Parametric Scattering Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5749-5758} }
SketchEdit: Mask-Free Local Image Manipulation With Partial Sketches: Yu Zeng,

Zhe Lin,

Vishal M. Patel; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zeng_2022_CVPR, author = {Zeng, Yu and Lin, Zhe and Patel, Vishal M.}, title = {SketchEdit: Mask-Free Local Image Manipulation With Partial Sketches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5951-5961} }
BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning: Zhi Hou,

Baosheng Yu,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hou_2022_CVPR, author = {Hou, Zhi and Yu, Baosheng and Tao, Dacheng}, title = {BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7256-7266} }
Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation: Damien Robert,

Bruno Vallet,

Loic Landrieu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Robert_2022_CVPR, author = {Robert, Damien and Vallet, Bruno and Landrieu, Loic}, title = {Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5575-5584} }
Physically Disentangled Intra- and Inter-Domain Adaptation for Varicolored Haze Removal: Yi Li,

Yi Chang,

Yan Gao,

Changfeng Yu,

Luxin Yan; [pdf] [supp]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Yi and Chang, Yi and Gao, Yan and Yu, Changfeng and Yan, Luxin}, title = {Physically Disentangled Intra- and Inter-Domain Adaptation for Varicolored Haze Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5841-5850} }
Representation Compensation Networks for Continual Semantic Segmentation: Chang-Bin Zhang,

Jia-Wen Xiao,

Xialei Liu,

Ying-Cong Chen,

Ming-Ming Cheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Chang-Bin and Xiao, Jia-Wen and Liu, Xialei and Chen, Ying-Cong and Cheng, Ming-Ming}, title = {Representation Compensation Networks for Continual Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7053-7064} }
Learning To Solve Hard Minimal Problems: Petr Hruby,

Timothy Duff,

Anton Leykin,

Tomas Pajdla; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hruby_2022_CVPR, author = {Hruby, Petr and Duff, Timothy and Leykin, Anton and Pajdla, Tomas}, title = {Learning To Solve Hard Minimal Problems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5532-5542} }
Non-Generative Generalized Zero-Shot Learning via Task-Correlated Disentanglement and Controllable Samples Synthesis: Yaogong Feng,

Xiaowen Huang,

Pengbo Yang,

Jian Yu,

Jitao Sang; [pdf] [arXiv]
[bibtex]
@InProceedings{Feng_2022_CVPR, author = {Feng, Yaogong and Huang, Xiaowen and Yang, Pengbo and Yu, Jian and Sang, Jitao}, title = {Non-Generative Generalized Zero-Shot Learning via Task-Correlated Disentanglement and Controllable Samples Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9346-9355} }
Forward Compatible Few-Shot Class-Incremental Learning: Da-Wei Zhou,

Fu-Yun Wang,

Han-Jia Ye,

Liang Ma,

Shiliang Pu,

De-Chuan Zhan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2022_CVPR, author = {Zhou, Da-Wei and Wang, Fu-Yun and Ye, Han-Jia and Ma, Liang and Pu, Shiliang and Zhan, De-Chuan}, title = {Forward Compatible Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9046-9056} }
Ranking Distance Calibration for Cross-Domain Few-Shot Learning: Pan Li,

Shaogang Gong,

Chengjie Wang,

Yanwei Fu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Pan and Gong, Shaogang and Wang, Chengjie and Fu, Yanwei}, title = {Ranking Distance Calibration for Cross-Domain Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9099-9108} }
Learning Pixel Trajectories With Multiscale Contrastive Random Walks: Zhangxing Bian,

Allan Jabri,

Alexei A. Efros,

Andrew Owens; [pdf] [arXiv]
[bibtex]
@InProceedings{Bian_2022_CVPR, author = {Bian, Zhangxing and Jabri, Allan and Efros, Alexei A. and Owens, Andrew}, title = {Learning Pixel Trajectories With Multiscale Contrastive Random Walks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6508-6519} }
Self-Supervised Correlation Mining Network for Person Image Generation: Zijian Wang,

Xingqun Qi,

Kun Yuan,

Muyi Sun; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Zijian and Qi, Xingqun and Yuan, Kun and Sun, Muyi}, title = {Self-Supervised Correlation Mining Network for Person Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7703-7712} }
Task Adaptive Parameter Sharing for Multi-Task Learning: Matthew Wallingford,

Hao Li,

Alessandro Achille,

Avinash Ravichandran,

Charless Fowlkes,

Rahul Bhotika,

Stefano Soatto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wallingford_2022_CVPR, author = {Wallingford, Matthew and Li, Hao and Achille, Alessandro and Ravichandran, Avinash and Fowlkes, Charless and Bhotika, Rahul and Soatto, Stefano}, title = {Task Adaptive Parameter Sharing for Multi-Task Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7561-7570} }
Finding Badly Drawn Bunnies: Lan Yang,

Kaiyue Pang,

Honggang Zhang,

Yi-Zhe Song; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Lan and Pang, Kaiyue and Zhang, Honggang and Song, Yi-Zhe}, title = {Finding Badly Drawn Bunnies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7482-7491} }
Transforming Model Prediction for Tracking: Christoph Mayer,

Martin Danelljan,

Goutam Bhat,

Matthieu Paul,

Danda Pani Paudel,

Fisher Yu,

Luc Van Gool; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mayer_2022_CVPR, author = {Mayer, Christoph and Danelljan, Martin and Bhat, Goutam and Paul, Matthieu and Paudel, Danda Pani and Yu, Fisher and Van Gool, Luc}, title = {Transforming Model Prediction for Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8731-8740} }
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling: Dat Huynh,

Jason Kuen,

Zhe Lin,

Jiuxiang Gu,

Ehsan Elhamifar; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huynh_2022_CVPR, author = {Huynh, Dat and Kuen, Jason and Lin, Zhe and Gu, Jiuxiang and Elhamifar, Ehsan}, title = {Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7020-7031} }
Locality-Aware Inter- and Intra-Video Reconstruction for Self-Supervised Correspondence Learning: Liulei Li,

Tianfei Zhou,

Wenguan Wang,

Lu Yang,

Jianwu Li,

Yi Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Liulei and Zhou, Tianfei and Wang, Wenguan and Yang, Lu and Li, Jianwu and Yang, Yi}, title = {Locality-Aware Inter- and Intra-Video Reconstruction for Self-Supervised Correspondence Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8719-8730} }
MeMOT: Multi-Object Tracking With Memory: Jiarui Cai,

Mingze Xu,

Wei Li,

Yuanjun Xiong,

Wei Xia,

Zhuowen Tu,

Stefano Soatto; [pdf] [arXiv]
[bibtex]
@InProceedings{Cai_2022_CVPR, author = {Cai, Jiarui and Xu, Mingze and Li, Wei and Xiong, Yuanjun and Xia, Wei and Tu, Zhuowen and Soatto, Stefano}, title = {MeMOT: Multi-Object Tracking With Memory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8090-8100} }
Semi-Supervised Semantic Segmentation With Error Localization Network: Donghyeon Kwon,

Suha Kwak; [pdf] [arXiv]
[bibtex]
@InProceedings{Kwon_2022_CVPR, author = {Kwon, Donghyeon and Kwak, Suha}, title = {Semi-Supervised Semantic Segmentation With Error Localization Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9957-9967} }
Anomaly Detection via Reverse Distillation From One-Class Embedding: Hanqiu Deng,

Xingyu Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Deng_2022_CVPR, author = {Deng, Hanqiu and Li, Xingyu}, title = {Anomaly Detection via Reverse Distillation From One-Class Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9737-9746} }
Fine-Grained Object Classification via Self-Supervised Pose Alignment: Xuhui Yang,

Yaowei Wang,

Ke Chen,

Yong Xu,

Yonghong Tian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Xuhui and Wang, Yaowei and Chen, Ke and Xu, Yong and Tian, Yonghong}, title = {Fine-Grained Object Classification via Self-Supervised Pose Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7399-7408} }
Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction: Chongyang Zhong,

Lei Hu,

Zihao Zhang,

Yongjing Ye,

Shihong Xia; [pdf] [supp]
[bibtex]
@InProceedings{Zhong_2022_CVPR, author = {Zhong, Chongyang and Hu, Lei and Zhang, Zihao and Ye, Yongjing and Xia, Shihong}, title = {Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6447-6456} }
Back to Reality: Weakly-Supervised 3D Object Detection With Shape-Guided Label Enhancement: Xiuwei Xu,

Yifan Wang,

Yu Zheng,

Yongming Rao,

Jie Zhou,

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

Pedro M. Esperança,

Steven McDonagh,

Tamas J. Madarasz,

Yongxin Yang,

Zhenguo Li; [pdf] [supp]
[bibtex]
@InProceedings{Parisot_2022_CVPR, author = {Parisot, Sarah and Esperan\c{c}a, Pedro M. and McDonagh, Steven and Madarasz, Tamas J. and Yang, Yongxin and Li, Zhenguo}, title = {Long-Tail Recognition via Compositional Knowledge Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6939-6948} }
Self-Taught Metric Learning Without Labels: Sungyeon Kim,

Dongwon Kim,

Minsu Cho,

Suha Kwak; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2022_CVPR, author = {Kim, Sungyeon and Kim, Dongwon and Cho, Minsu and Kwak, Suha}, title = {Self-Taught Metric Learning Without Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7431-7441} }
Embracing Single Stride 3D Object Detector With Sparse Transformer: Lue Fan,

Ziqi Pang,

Tianyuan Zhang,

Yu-Xiong Wang,

Hang Zhao,

Feng Wang,

Naiyan Wang,

Zhaoxiang Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fan_2022_CVPR, author = {Fan, Lue and Pang, Ziqi and Zhang, Tianyuan and Wang, Yu-Xiong and Zhao, Hang and Wang, Feng and Wang, Naiyan and Zhang, Zhaoxiang}, title = {Embracing Single Stride 3D Object Detector With Sparse Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8458-8468} }
Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance: Yin-Yin He,

Peizhen Zhang,

Xiu-Shen Wei,

Xiangyu Zhang,

Jian Sun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2022_CVPR, author = {He, Yin-Yin and Zhang, Peizhen and Wei, Xiu-Shen and Zhang, Xiangyu and Sun, Jian}, title = {Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7000-7009} }
Task2Sim: Towards Effective Pre-Training and Transfer From Synthetic Data: Samarth Mishra,

Rameswar Panda,

Cheng Perng Phoo,

Chun-Fu (Richard) Chen,

Leonid Karlinsky,

Kate Saenko,

Venkatesh Saligrama,

Rogerio S. Feris; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mishra_2022_CVPR, author = {Mishra, Samarth and Panda, Rameswar and Phoo, Cheng Perng and Chen, Chun-Fu (Richard) and Karlinsky, Leonid and Saenko, Kate and Saligrama, Venkatesh and Feris, Rogerio S.}, title = {Task2Sim: Towards Effective Pre-Training and Transfer From Synthetic Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9194-9204} }
Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification: Yoonki Cho,

Woo Jae Kim,

Seunghoon Hong,

Sung-Eui Yoon; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cho_2022_CVPR, author = {Cho, Yoonki and Kim, Woo Jae and Hong, Seunghoon and Yoon, Sung-Eui}, title = {Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7308-7318} }
OW-DETR: Open-World Detection Transformer: Akshita Gupta,

Sanath Narayan,

K J Joseph,

Salman Khan,

Fahad Shahbaz Khan,

Mubarak Shah; [pdf] [supp]
[bibtex]
@InProceedings{Gupta_2022_CVPR, author = {Gupta, Akshita and Narayan, Sanath and Joseph, K J and Khan, Salman and Khan, Fahad Shahbaz and Shah, Mubarak}, title = {OW-DETR: Open-World Detection Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9235-9244} }
Correlation Verification for Image Retrieval: Seongwon Lee,

Hongje Seong,

Suhyeon Lee,

Euntai Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2022_CVPR, author = {Lee, Seongwon and Seong, Hongje and Lee, Suhyeon and Kim, Euntai}, title = {Correlation Verification for Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5374-5384} }
Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer: Shuai Yang,

Liming Jiang,

Ziwei Liu,

Chen Change Loy; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Shuai and Jiang, Liming and Liu, Ziwei and Loy, Chen Change}, title = {Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7693-7702} }
Learning To Memorize Feature Hallucination for One-Shot Image Generation: Yu Xie,

Yanwei Fu,

Ying Tai,

Yun Cao,

Junwei Zhu,

Chengjie Wang; [pdf]
[bibtex]
@InProceedings{Xie_2022_CVPR, author = {Xie, Yu and Fu, Yanwei and Tai, Ying and Cao, Yun and Zhu, Junwei and Wang, Chengjie}, title = {Learning To Memorize Feature Hallucination for One-Shot Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9130-9139} }
Deterministic Point Cloud Registration via Novel Transformation Decomposition: Wen Chen,

Haoang Li,

Qiang Nie,

Yun-Hui Liu; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2022_CVPR, author = {Chen, Wen and Li, Haoang and Nie, Qiang and Liu, Yun-Hui}, title = {Deterministic Point Cloud Registration via Novel Transformation Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6348-6356} }
Neural Prior for Trajectory Estimation: Chaoyang Wang,

Xueqian Li,

Jhony Kaesemodel Pontes,

Simon Lucey; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Chaoyang and Li, Xueqian and Pontes, Jhony Kaesemodel and Lucey, Simon}, title = {Neural Prior for Trajectory Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6532-6542} }
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation: Rui Peng,

Rongjie Wang,

Zhenyu Wang,

Yawen Lai,

Ronggang Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Peng_2022_CVPR, author = {Peng, Rui and Wang, Rongjie and Wang, Zhenyu and Lai, Yawen and Wang, Ronggang}, title = {Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8645-8654} }
Long-Tailed Recognition via Weight Balancing: Shaden Alshammari,

Yu-Xiong Wang,

Deva Ramanan,

Shu Kong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Alshammari_2022_CVPR, author = {Alshammari, Shaden and Wang, Yu-Xiong and Ramanan, Deva and Kong, Shu}, title = {Long-Tailed Recognition via Weight Balancing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6897-6907} }
ShapeFormer: Transformer-Based Shape Completion via Sparse Representation: Xingguang Yan,

Liqiang Lin,

Niloy J. Mitra,

Dani Lischinski,

Daniel Cohen-Or,

Hui Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yan_2022_CVPR, author = {Yan, Xingguang and Lin, Liqiang and Mitra, Niloy J. and Lischinski, Dani and Cohen-Or, Daniel and Huang, Hui}, title = {ShapeFormer: Transformer-Based Shape Completion via Sparse Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6239-6249} }
Learning Optical Flow With Kernel Patch Attention: Ao Luo,

Fan Yang,

Xin Li,

Shuaicheng Liu; [pdf]
[bibtex]
@InProceedings{Luo_2022_CVPR, author = {Luo, Ao and Yang, Fan and Li, Xin and Liu, Shuaicheng}, title = {Learning Optical Flow With Kernel Patch Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8906-8915} }
Global-Aware Registration of Less-Overlap RGB-D Scans: Che Sun,

Yunde Jia,

Yi Guo,

Yuwei Wu; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2022_CVPR, author = {Sun, Che and Jia, Yunde and Guo, Yi and Wu, Yuwei}, title = {Global-Aware Registration of Less-Overlap RGB-D Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6357-6366} }
RayMVSNet: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo: Junhua Xi,

Yifei Shi,

Yijie Wang,

Yulan Guo,

Kai Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xi_2022_CVPR, author = {Xi, Junhua and Shi, Yifei and Wang, Yijie and Guo, Yulan and Xu, Kai}, title = {RayMVSNet: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8595-8605} }
Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture: Buzhen Huang,

Liang Pan,

Yuan Yang,

Jingyi Ju,

Yangang Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2022_CVPR, author = {Huang, Buzhen and Pan, Liang and Yang, Yuan and Ju, Jingyi and Wang, Yangang}, title = {Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6417-6426} }
Revisiting Temporal Alignment for Video Restoration: Kun Zhou,

Wenbo Li,

Liying Lu,

Xiaoguang Han,

Jiangbo Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2022_CVPR, author = {Zhou, Kun and Li, Wenbo and Lu, Liying and Han, Xiaoguang and Lu, Jiangbo}, title = {Revisiting Temporal Alignment for Video Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6053-6062} }
OVE6D: Object Viewpoint Encoding for Depth-Based 6D Object Pose Estimation: Dingding Cai,

Janne Heikkilä,

Esa Rahtu; [pdf] [supp]
[bibtex]
@InProceedings{Cai_2022_CVPR, author = {Cai, Dingding and Heikkil\"a, Janne and Rahtu, Esa}, title = {OVE6D: Object Viewpoint Encoding for Depth-Based 6D Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6803-6813} }
WALT: Watch and Learn 2D Amodal Representation From Time-Lapse Imagery: N. Dinesh Reddy,

Robert Tamburo,

Srinivasa G. Narasimhan; [pdf] [supp]
[bibtex]
@InProceedings{Reddy_2022_CVPR, author = {Reddy, N. Dinesh and Tamburo, Robert and Narasimhan, Srinivasa G.}, title = {WALT: Watch and Learn 2D Amodal Representation From Time-Lapse Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9356-9366} }
GradViT: Gradient Inversion of Vision Transformers: Ali Hatamizadeh,

Hongxu Yin,

Holger R. Roth,

Wenqi Li,

Jan Kautz,

Daguang Xu,

Pavlo Molchanov; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hatamizadeh_2022_CVPR, author = {Hatamizadeh, Ali and Yin, Hongxu and Roth, Holger R. and Li, Wenqi and Kautz, Jan and Xu, Daguang and Molchanov, Pavlo}, title = {GradViT: Gradient Inversion of Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10021-10030} }
Joint Global and Local Hierarchical Priors for Learned Image Compression: Jun-Hyuk Kim,

Byeongho Heo,

Jong-Seok Lee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2022_CVPR, author = {Kim, Jun-Hyuk and Heo, Byeongho and Lee, Jong-Seok}, title = {Joint Global and Local Hierarchical Priors for Learned Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5992-6001} }
Image Segmentation Using Text and Image Prompts: Timo Lüddecke,

Alexander Ecker; [pdf] [supp]
[bibtex]
@InProceedings{Luddecke_2022_CVPR, author = {L\"uddecke, Timo and Ecker, Alexander}, title = {Image Segmentation Using Text and Image Prompts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7086-7096} }
How Many Observations Are Enough? Knowledge Distillation for Trajectory Forecasting: Alessio Monti,

Angelo Porrello,

Simone Calderara,

Pasquale Coscia,

Lamberto Ballan,

Rita Cucchiara; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Monti_2022_CVPR, author = {Monti, Alessio and Porrello, Angelo and Calderara, Simone and Coscia, Pasquale and Ballan, Lamberto and Cucchiara, Rita}, title = {How Many Observations Are Enough? Knowledge Distillation for Trajectory Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6553-6562} }
The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization: Zeyi Huang,

Haohan Wang,

Dong Huang,

Yong Jae Lee,

Eric P. Xing; [pdf] [supp]
[bibtex]
@InProceedings{Huang_2022_CVPR, author = {Huang, Zeyi and Wang, Haohan and Huang, Dong and Lee, Yong Jae and Xing, Eric P.}, title = {The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9631-9641} }
Global Tracking Transformers: Xingyi Zhou,

Tianwei Yin,

Vladlen Koltun,

Philipp Krähenbühl; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhou_2022_CVPR, author = {Zhou, Xingyi and Yin, Tianwei and Koltun, Vladlen and Kr\"ahenb\"uhl, Philipp}, title = {Global Tracking Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8771-8780} }
GMFlow: Learning Optical Flow via Global Matching: Haofei Xu,

Jing Zhang,

Jianfei Cai,

Hamid Rezatofighi,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Haofei and Zhang, Jing and Cai, Jianfei and Rezatofighi, Hamid and Tao, Dacheng}, title = {GMFlow: Learning Optical Flow via Global Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8121-8130} }
Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation: Xian Liu,

Qianyi Wu,

Hang Zhou,

Yinghao Xu,

Rui Qian,

Xinyi Lin,

Xiaowei Zhou,

Wayne Wu,

Bo Dai,

Bolei Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2022_CVPR, author = {Liu, Xian and Wu, Qianyi and Zhou, Hang and Xu, Yinghao and Qian, Rui and Lin, Xinyi and Zhou, Xiaowei and Wu, Wayne and Dai, Bo and Zhou, Bolei}, title = {Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10462-10472} }
Scanline Homographies for Rolling-Shutter Plane Absolute Pose: Fang Bai,

Agniva Sengupta,

Adrien Bartoli; [pdf] [supp]
[bibtex]
@InProceedings{Bai_2022_CVPR, author = {Bai, Fang and Sengupta, Agniva and Bartoli, Adrien}, title = {Scanline Homographies for Rolling-Shutter Plane Absolute Pose}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8993-9002} }
Spectral Unsupervised Domain Adaptation for Visual Recognition: Jingyi Zhang,

Jiaxing Huang,

Zichen Tian,

Shijian Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jingyi and Huang, Jiaxing and Tian, Zichen and Lu, Shijian}, title = {Spectral Unsupervised Domain Adaptation for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9829-9840} }
Recurrent Glimpse-Based Decoder for Detection With Transformer: Zhe Chen,

Jing Zhang,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2022_CVPR, author = {Chen, Zhe and Zhang, Jing and Tao, Dacheng}, title = {Recurrent Glimpse-Based Decoder for Detection With Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5260-5269} }
SimMIM: A Simple Framework for Masked Image Modeling: Zhenda Xie,

Zheng Zhang,

Yue Cao,

Yutong Lin,

Jianmin Bao,

Zhuliang Yao,

Qi Dai,

Han Hu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xie_2022_CVPR, author = {Xie, Zhenda and Zhang, Zheng and Cao, Yue and Lin, Yutong and Bao, Jianmin and Yao, Zhuliang and Dai, Qi and Hu, Han}, title = {SimMIM: A Simple Framework for Masked Image Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9653-9663} }
BCOT: A Markerless High-Precision 3D Object Tracking Benchmark: Jiachen Li,

Bin Wang,

Shiqiang Zhu,

Xin Cao,

Fan Zhong,

Wenxuan Chen,

Te Li,

Jason Gu,

Xueying Qin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Jiachen and Wang, Bin and Zhu, Shiqiang and Cao, Xin and Zhong, Fan and Chen, Wenxuan and Li, Te and Gu, Jason and Qin, Xueying}, title = {BCOT: A Markerless High-Precision 3D Object Tracking Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6697-6706} }
Omni-DETR: Omni-Supervised Object Detection With Transformers: Pei Wang,

Zhaowei Cai,

Hao Yang,

Gurumurthy Swaminathan,

Nuno Vasconcelos,

Bernt Schiele,

Stefano Soatto; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Pei and Cai, Zhaowei and Yang, Hao and Swaminathan, Gurumurthy and Vasconcelos, Nuno and Schiele, Bernt and Soatto, Stefano}, title = {Omni-DETR: Omni-Supervised Object Detection With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9367-9376} }
Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations: Junhao Dong,

Yuan Wang,

Jian-Huang Lai,

Xiaohua Xie; [pdf]
[bibtex]
@InProceedings{Dong_2022_CVPR, author = {Dong, Junhao and Wang, Yuan and Lai, Jian-Huang and Xie, Xiaohua}, title = {Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9025-9034} }
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping: Jilan Xu,

Junlin Hou,

Yuejie Zhang,

Rui Feng,

Rui-Wei Zhao,

Tao Zhang,

Xuequan Lu,

Shang Gao; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Jilan and Hou, Junlin and Zhang, Yuejie and Feng, Rui and Zhao, Rui-Wei and Zhang, Tao and Lu, Xuequan and Gao, Shang}, title = {CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9437-9446} }
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers: Jiahao Lu,

Xi Sheryl Zhang,

Tianli Zhao,

Xiangyu He,

Jian Cheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lu_2022_CVPR, author = {Lu, Jiahao and Zhang, Xi Sheryl and Zhao, Tianli and He, Xiangyu and Cheng, Jian}, title = {APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10051-10060} }
Text Spotting Transformers: Xiang Zhang,

Yongwen Su,

Subarna Tripathi,

Zhuowen Tu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Xiang and Su, Yongwen and Tripathi, Subarna and Tu, Zhuowen}, title = {Text Spotting Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9519-9528} }
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields: Jonathan T. Barron,

Ben Mildenhall,

Dor Verbin,

Pratul P. Srinivasan,

Peter Hedman; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Barron_2022_CVPR, author = {Barron, Jonathan T. and Mildenhall, Ben and Verbin, Dor and Srinivasan, Pratul P. and Hedman, Peter}, title = {Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5470-5479} }
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment: Yue Cao,

Zhaolin Wan,

Dongwei Ren,

Zifei Yan,

Wangmeng Zuo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cao_2022_CVPR, author = {Cao, Yue and Wan, Zhaolin and Ren, Dongwei and Yan, Zifei and Zuo, Wangmeng}, title = {Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5851-5861} }
HINT: Hierarchical Neuron Concept Explainer: Andong Wang,

Wei-Ning Lee,

Xiaojuan Qi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Andong and Lee, Wei-Ning and Qi, Xiaojuan}, title = {HINT: Hierarchical Neuron Concept Explainer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10254-10264} }
Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection: Jinyuan Liu,

Xin Fan,

Zhanbo Huang,

Guanyao Wu,

Risheng Liu,

Wei Zhong,

Zhongxuan Luo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2022_CVPR, author = {Liu, Jinyuan and Fan, Xin and Huang, Zhanbo and Wu, Guanyao and Liu, Risheng and Zhong, Wei and Luo, Zhongxuan}, title = {Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5802-5811} }
En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning: Xia Kong,

Zuodong Gao,

Xiaofan Li,

Ming Hong,

Jun Liu,

Chengjie Wang,

Yuan Xie,

Yanyun Qu; [pdf] [supp]
[bibtex]
@InProceedings{Kong_2022_CVPR, author = {Kong, Xia and Gao, Zuodong and Li, Xiaofan and Hong, Ming and Liu, Jun and Wang, Chengjie and Xie, Yuan and Qu, Yanyun}, title = {En-Compactness: Self-Distillation Embedding \& Contrastive Generation for Generalized Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9306-9315} }
LC-FDNet: Learned Lossless Image Compression With Frequency Decomposition Network: Hochang Rhee,

Yeong Il Jang,

Seyun Kim,

Nam Ik Cho; [pdf] [supp]
[bibtex]
@InProceedings{Rhee_2022_CVPR, author = {Rhee, Hochang and Jang, Yeong Il and Kim, Seyun and Cho, Nam Ik}, title = {LC-FDNet: Learned Lossless Image Compression With Frequency Decomposition Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6033-6042} }
Deep Rectangling for Image Stitching: A Learning Baseline: Lang Nie,

Chunyu Lin,

Kang Liao,

Shuaicheng Liu,

Yao Zhao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nie_2022_CVPR, author = {Nie, Lang and Lin, Chunyu and Liao, Kang and Liu, Shuaicheng and Zhao, Yao}, title = {Deep Rectangling for Image Stitching: A Learning Baseline}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5740-5748} }
PCL: Proxy-Based Contrastive Learning for Domain Generalization: Xufeng Yao,

Yang Bai,

Xinyun Zhang,

Yuechen Zhang,

Qi Sun,

Ran Chen,

Ruiyu Li,

Bei Yu; [pdf] [supp]
[bibtex]
@InProceedings{Yao_2022_CVPR, author = {Yao, Xufeng and Bai, Yang and Zhang, Xinyun and Zhang, Yuechen and Sun, Qi and Chen, Ran and Li, Ruiyu and Yu, Bei}, title = {PCL: Proxy-Based Contrastive Learning for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7097-7107} }
SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation With Learnt Surface Embeddings: Rasmus Laurvig Haugaard,

Anders Glent Buch; [pdf] [arXiv]
[bibtex]
@InProceedings{Haugaard_2022_CVPR, author = {Haugaard, Rasmus Laurvig and Buch, Anders Glent}, title = {SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation With Learnt Surface Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6749-6758} }
Unsupervised Learning of Accurate Siamese Tracking: Qiuhong Shen,

Lei Qiao,

Jinyang Guo,

Peixia Li,

Xin Li,

Bo Li,

Weitao Feng,

Weihao Gan,

Wei Wu,

Wanli Ouyang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shen_2022_CVPR, author = {Shen, Qiuhong and Qiao, Lei and Guo, Jinyang and Li, Peixia and Li, Xin and Li, Bo and Feng, Weitao and Gan, Weihao and Wu, Wei and Ouyang, Wanli}, title = {Unsupervised Learning of Accurate Siamese Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8101-8110} }
Unified Transformer Tracker for Object Tracking: Fan Ma,

Mike Zheng Shou,

Linchao Zhu,

Haoqi Fan,

Yilei Xu,

Yi Yang,

Zhicheng Yan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ma_2022_CVPR, author = {Ma, Fan and Shou, Mike Zheng and Zhu, Linchao and Fan, Haoqi and Xu, Yilei and Yang, Yi and Yan, Zhicheng}, title = {Unified Transformer Tracker for Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8781-8790} }
Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo: Jiayu Yang,

Jose M. Alvarez,

Miaomiao Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Jiayu and Alvarez, Jose M. and Liu, Miaomiao}, title = {Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8626-8634} }
Equalized Focal Loss for Dense Long-Tailed Object Detection: Bo Li,

Yongqiang Yao,

Jingru Tan,

Gang Zhang,

Fengwei Yu,

Jianwei Lu,

Ye Luo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Bo and Yao, Yongqiang and Tan, Jingru and Zhang, Gang and Yu, Fengwei and Lu, Jianwei and Luo, Ye}, title = {Equalized Focal Loss for Dense Long-Tailed Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6990-6999} }
DeepDPM: Deep Clustering With an Unknown Number of Clusters: Meitar Ronen,

Shahaf E. Finder,

Oren Freifeld; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ronen_2022_CVPR, author = {Ronen, Meitar and Finder, Shahaf E. and Freifeld, Oren}, title = {DeepDPM: Deep Clustering With an Unknown Number of Clusters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9861-9870} }
Spiking Transformers for Event-Based Single Object Tracking: Jiqing Zhang,

Bo Dong,

Haiwei Zhang,

Jianchuan Ding,

Felix Heide,

Baocai Yin,

Xin Yang; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jiqing and Dong, Bo and Zhang, Haiwei and Ding, Jianchuan and Heide, Felix and Yin, Baocai and Yang, Xin}, title = {Spiking Transformers for Event-Based Single Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8801-8810} }
Unsupervised Domain Adaptation for Nighttime Aerial Tracking: Junjie Ye,

Changhong Fu,

Guangze Zheng,

Danda Pani Paudel,

Guang Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ye_2022_CVPR, author = {Ye, Junjie and Fu, Changhong and Zheng, Guangze and Paudel, Danda Pani and Chen, Guang}, title = {Unsupervised Domain Adaptation for Nighttime Aerial Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8896-8905} }
Balanced Multimodal Learning via On-the-Fly Gradient Modulation: Xiaokang Peng,

Yake Wei,

Andong Deng,

Dong Wang,

Di Hu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Peng_2022_CVPR, author = {Peng, Xiaokang and Wei, Yake and Deng, Andong and Wang, Dong and Hu, Di}, title = {Balanced Multimodal Learning via On-the-Fly Gradient Modulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8238-8247} }
Causality Inspired Representation Learning for Domain Generalization: Fangrui Lv,

Jian Liang,

Shuang Li,

Bin Zang,

Chi Harold Liu,

Ziteng Wang,

Di Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lv_2022_CVPR, author = {Lv, Fangrui and Liang, Jian and Li, Shuang and Zang, Bin and Liu, Chi Harold and Wang, Ziteng and Liu, Di}, title = {Causality Inspired Representation Learning for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8046-8056} }
Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency: Yanan Gu,

Xu Yang,

Kun Wei,

Cheng Deng; [pdf]
[bibtex]
@InProceedings{Gu_2022_CVPR, author = {Gu, Yanan and Yang, Xu and Wei, Kun and Deng, Cheng}, title = {Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7442-7451} }
Block-NeRF: Scalable Large Scene Neural View Synthesis: Matthew Tancik,

Vincent Casser,

Xinchen Yan,

Sabeek Pradhan,

Ben Mildenhall,

Pratul P. Srinivasan,

Jonathan T. Barron,

Henrik Kretzschmar; [pdf] [supp]
[bibtex]
@InProceedings{Tancik_2022_CVPR, author = {Tancik, Matthew and Casser, Vincent and Yan, Xinchen and Pradhan, Sabeek and Mildenhall, Ben and Srinivasan, Pratul P. and Barron, Jonathan T. and Kretzschmar, Henrik}, title = {Block-NeRF: Scalable Large Scene Neural View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8248-8258} }
B-Cos Networks: Alignment Is All We Need for Interpretability: Moritz Böhle,

Mario Fritz,

Bernt Schiele; [pdf] [supp]
[bibtex]
@InProceedings{Bohle_2022_CVPR, author = {B\"ohle, Moritz and Fritz, Mario and Schiele, Bernt}, title = {B-Cos Networks: Alignment Is All We Need for Interpretability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10329-10338} }
Burst Image Restoration and Enhancement: Akshay Dudhane,

Syed Waqas Zamir,

Salman Khan,

Fahad Shahbaz Khan,

Ming-Hsuan Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dudhane_2022_CVPR, author = {Dudhane, Akshay and Zamir, Syed Waqas and Khan, Salman and Khan, Fahad Shahbaz and Yang, Ming-Hsuan}, title = {Burst Image Restoration and Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5759-5768} }
What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors: Christos Matsoukas,

Johan Fredin Haslum,

Moein Sorkhei,

Magnus Söderberg,

Kevin Smith; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Matsoukas_2022_CVPR, author = {Matsoukas, Christos and Haslum, Johan Fredin and Sorkhei, Moein and S\"oderberg, Magnus and Smith, Kevin}, title = {What Makes Transfer Learning Work for Medical Images: Feature Reuse \& Other Factors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9225-9234} }
Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis: Karren Yang,

Dejan Marković,

Steven Krenn,

Vasu Agrawal,

Alexander Richard; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Karren and Markovi\'c, Dejan and Krenn, Steven and Agrawal, Vasu and Richard, Alexander}, title = {Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8227-8237} }
Localized Adversarial Domain Generalization: Wei Zhu,

Le Lu,

Jing Xiao,

Mei Han,

Jiebo Luo,

Adam P. Harrison; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2022_CVPR, author = {Zhu, Wei and Lu, Le and Xiao, Jing and Han, Mei and Luo, Jiebo and Harrison, Adam P.}, title = {Localized Adversarial Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7108-7118} }
X-Trans2Cap: Cross-Modal Knowledge Transfer Using Transformer for 3D Dense Captioning: Zhihao Yuan,

Xu Yan,

Yinghong Liao,

Yao Guo,

Guanbin Li,

Shuguang Cui,

Zhen Li; [pdf] [supp]
[bibtex]
@InProceedings{Yuan_2022_CVPR, author = {Yuan, Zhihao and Yan, Xu and Liao, Yinghong and Guo, Yao and Li, Guanbin and Cui, Shuguang and Li, Zhen}, title = {X-Trans2Cap: Cross-Modal Knowledge Transfer Using Transformer for 3D Dense Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8563-8573} }
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data: Corentin Sautier,

Gilles Puy,

Spyros Gidaris,

Alexandre Boulch,

Andrei Bursuc,

Renaud Marlet; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sautier_2022_CVPR, author = {Sautier, Corentin and Puy, Gilles and Gidaris, Spyros and Boulch, Alexandre and Bursuc, Andrei and Marlet, Renaud}, title = {Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9891-9901} }
Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention: Yu Yang,

Seungbae Kim,

Jungseock Joo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Yu and Kim, Seungbae and Joo, Jungseock}, title = {Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8333-8343} }
Learning To Collaborate in Decentralized Learning of Personalized Models: Shuangtong Li,

Tianyi Zhou,

Xinmei Tian,

Dacheng Tao; [pdf]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Shuangtong and Zhou, Tianyi and Tian, Xinmei and Tao, Dacheng}, title = {Learning To Collaborate in Decentralized Learning of Personalized Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9766-9775} }
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields: Dor Verbin,

Peter Hedman,

Ben Mildenhall,

Todd Zickler,

Jonathan T. Barron,

Pratul P. Srinivasan; [pdf] [supp]
[bibtex]
@InProceedings{Verbin_2022_CVPR, author = {Verbin, Dor and Hedman, Peter and Mildenhall, Ben and Zickler, Todd and Barron, Jonathan T. and Srinivasan, Pratul P.}, title = {Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5491-5500} }
Targeted Supervised Contrastive Learning for Long-Tailed Recognition: Tianhong Li,

Peng Cao,

Yuan Yuan,

Lijie Fan,

Yuzhe Yang,

Rogerio S. Feris,

Piotr Indyk,

Dina Katabi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Tianhong and Cao, Peng and Yuan, Yuan and Fan, Lijie and Yang, Yuzhe and Feris, Rogerio S. and Indyk, Piotr and Katabi, Dina}, title = {Targeted Supervised Contrastive Learning for Long-Tailed Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6918-6928} }
Balanced Contrastive Learning for Long-Tailed Visual Recognition: Jianggang Zhu,

Zheng Wang,

Jingjing Chen,

Yi-Ping Phoebe Chen,

Yu-Gang Jiang; [pdf] [supp]
[bibtex]
@InProceedings{Zhu_2022_CVPR, author = {Zhu, Jianggang and Wang, Zheng and Chen, Jingjing and Chen, Yi-Ping Phoebe and Jiang, Yu-Gang}, title = {Balanced Contrastive Learning for Long-Tailed Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6908-6917} }
Slimmable Domain Adaptation: Rang Meng,

Weijie Chen,

Shicai Yang,

Jie Song,

Luojun Lin,

Di Xie,

Shiliang Pu,

Xinchao Wang,

Mingli Song,

Yueting Zhuang; [pdf] [supp]
[bibtex]
@InProceedings{Meng_2022_CVPR, author = {Meng, Rang and Chen, Weijie and Yang, Shicai and Song, Jie and Lin, Luojun and Xie, Di and Pu, Shiliang and Wang, Xinchao and Song, Mingli and Zhuang, Yueting}, title = {Slimmable Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7141-7150} }
DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow: Zihua Zheng,

Ni Nie,

Zhi Ling,

Pengfei Xiong,

Jiangyu Liu,

Hao Wang,

Jiankun Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zheng_2022_CVPR, author = {Zheng, Zihua and Nie, Ni and Ling, Zhi and Xiong, Pengfei and Liu, Jiangyu and Wang, Hao and Li, Jiankun}, title = {DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8925-8934} }
Few-Shot Object Detection With Fully Cross-Transformer: Guangxing Han,

Jiawei Ma,

Shiyuan Huang,

Long Chen,

Shih-Fu Chang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Han_2022_CVPR, author = {Han, Guangxing and Ma, Jiawei and Huang, Shiyuan and Chen, Long and Chang, Shih-Fu}, title = {Few-Shot Object Detection With Fully Cross-Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5321-5330} }
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering: Ruoxi Shi,

Xinyang Jiang,

Caihua Shan,

Yansen Wang,

Dongsheng Li; [pdf]
[bibtex]
@InProceedings{Shi_2022_CVPR, author = {Shi, Ruoxi and Jiang, Xinyang and Shan, Caihua and Wang, Yansen and Li, Dongsheng}, title = {RendNet: Unified 2D/3D Recognizer With Latent Space Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5408-5417} }
iPLAN: Interactive and Procedural Layout Planning: Feixiang He,

Yanlong Huang,

He Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2022_CVPR, author = {He, Feixiang and Huang, Yanlong and Wang, He}, title = {iPLAN: Interactive and Procedural Layout Planning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7793-7802} }
Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction: Xinshuo Weng,

Boris Ivanovic,

Kris Kitani,

Marco Pavone; [pdf]
[bibtex]
@InProceedings{Weng_2022_CVPR, author = {Weng, Xinshuo and Ivanovic, Boris and Kitani, Kris and Pavone, Marco}, title = {Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6573-6582} }
Balanced MSE for Imbalanced Visual Regression: Jiawei Ren,

Mingyuan Zhang,

Cunjun Yu,

Ziwei Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ren_2022_CVPR, author = {Ren, Jiawei and Zhang, Mingyuan and Yu, Cunjun and Liu, Ziwei}, title = {Balanced MSE for Imbalanced Visual Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7926-7935} }
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning: Matias Mendieta,

Taojiannan Yang,

Pu Wang,

Minwoo Lee,

Zhengming Ding,

Chen Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mendieta_2022_CVPR, author = {Mendieta, Matias and Yang, Taojiannan and Wang, Pu and Lee, Minwoo and Ding, Zhengming and Chen, Chen}, title = {Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8397-8406} }
Finding Good Configurations of Planar Primitives in Unorganized Point Clouds: Mulin Yu,

Florent Lafarge; [pdf] [supp]
[bibtex]
@InProceedings{Yu_2022_CVPR, author = {Yu, Mulin and Lafarge, Florent}, title = {Finding Good Configurations of Planar Primitives in Unorganized Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6367-6376} }
FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification: Qiang Zhang,

Changzhou Lai,

Jianan Liu,

Nianchang Huang,

Jungong Han; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Qiang and Lai, Changzhou and Liu, Jianan and Huang, Nianchang and Han, Jungong}, title = {FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7349-7358} }
Source-Free Domain Adaptation via Distribution Estimation: Ning Ding,

Yixing Xu,

Yehui Tang,

Chao Xu,

Yunhe Wang,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ding_2022_CVPR, author = {Ding, Ning and Xu, Yixing and Tang, Yehui and Xu, Chao and Wang, Yunhe and Tao, Dacheng}, title = {Source-Free Domain Adaptation via Distribution Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7212-7222} }
Transferability Estimation Using Bhattacharyya Class Separability: Michal Pándy,

Andrea Agostinelli,

Jasper Uijlings,

Vittorio Ferrari,

Thomas Mensink; [pdf] [supp]
[bibtex]
@InProceedings{Pandy_2022_CVPR, author = {P\'andy, Michal and Agostinelli, Andrea and Uijlings, Jasper and Ferrari, Vittorio and Mensink, Thomas}, title = {Transferability Estimation Using Bhattacharyya Class Separability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9172-9182} }
Hierarchical Self-Supervised Representation Learning for Movie Understanding: Fanyi Xiao,

Kaustav Kundu,

Joseph Tighe,

Davide Modolo; [pdf] [arXiv]
[bibtex]
@InProceedings{Xiao_2022_CVPR, author = {Xiao, Fanyi and Kundu, Kaustav and Tighe, Joseph and Modolo, Davide}, title = {Hierarchical Self-Supervised Representation Learning for Movie Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9727-9736} }
Does Robustness on ImageNet Transfer to Downstream Tasks?: Yutaro Yamada,

Mayu Otani; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yamada_2022_CVPR, author = {Yamada, Yutaro and Otani, Mayu}, title = {Does Robustness on ImageNet Transfer to Downstream Tasks?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9215-9224} }
Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations: Zhixuan Zhong,

Liangyu Chai,

Yang Zhou,

Bailin Deng,

Jia Pan,

Shengfeng He; [pdf] [supp]
[bibtex]
@InProceedings{Zhong_2022_CVPR, author = {Zhong, Zhixuan and Chai, Liangyu and Zhou, Yang and Deng, Bailin and Pan, Jia and He, Shengfeng}, title = {Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5708-5717} }
Proto2Proto: Can You Recognize the Car, the Way I Do?: Monish Keswani,

Sriranjani Ramakrishnan,

Nishant Reddy,

Vineeth N Balasubramanian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Keswani_2022_CVPR, author = {Keswani, Monish and Ramakrishnan, Sriranjani and Reddy, Nishant and Balasubramanian, Vineeth N}, title = {Proto2Proto: Can You Recognize the Car, the Way I Do?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10233-10243} }
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution: Xiaoqian Xu,

Pengxu Wei,

Weikai Chen,

Yang Liu,

Mingzhi Mao,

Liang Lin,

Guanbin Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Xiaoqian and Wei, Pengxu and Chen, Weikai and Liu, Yang and Mao, Mingzhi and Lin, Liang and Li, Guanbin}, title = {Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5667-5676} }
FS6D: Few-Shot 6D Pose Estimation of Novel Objects: Yisheng He,

Yao Wang,

Haoqiang Fan,

Jian Sun,

Qifeng Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2022_CVPR, author = {He, Yisheng and Wang, Yao and Fan, Haoqiang and Sun, Jian and Chen, Qifeng}, title = {FS6D: Few-Shot 6D Pose Estimation of Novel Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6814-6824} }
Reflection and Rotation Symmetry Detection via Equivariant Learning: Ahyun Seo,

Byungjin Kim,

Suha Kwak,

Minsu Cho; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Seo_2022_CVPR, author = {Seo, Ahyun and Kim, Byungjin and Kwak, Suha and Cho, Minsu}, title = {Reflection and Rotation Symmetry Detection via Equivariant Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9539-9548} }
CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild: Yang You,

Ruoxi Shi,

Weiming Wang,

Cewu Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{You_2022_CVPR, author = {You, Yang and Shi, Ruoxi and Wang, Weiming and Lu, Cewu}, title = {CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6866-6875} }
Interactive Disentanglement: Learning Concepts by Interacting With Their Prototype Representations: Wolfgang Stammer,

Marius Memmel,

Patrick Schramowski,

Kristian Kersting; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Stammer_2022_CVPR, author = {Stammer, Wolfgang and Memmel, Marius and Schramowski, Patrick and Kersting, Kristian}, title = {Interactive Disentanglement: Learning Concepts by Interacting With Their Prototype Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10317-10328} }
Recall@k Surrogate Loss With Large Batches and Similarity Mixup: Yash Patel,

Giorgos Tolias,

Jiří Matas; [pdf] [supp]
[bibtex]
@InProceedings{Patel_2022_CVPR, author = {Patel, Yash and Tolias, Giorgos and Matas, Ji\v{r}{\'\i}}, title = {Recall@k Surrogate Loss With Large Batches and Similarity Mixup}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7502-7511} }
Direct Voxel Grid Optimization: Super-Fast Convergence for Radiance Fields Reconstruction: Cheng Sun,

Min Sun,

Hwann-Tzong Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sun_2022_CVPR, author = {Sun, Cheng and Sun, Min and Chen, Hwann-Tzong}, title = {Direct Voxel Grid Optimization: Super-Fast Convergence for Radiance Fields Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5459-5469} }
Continual Test-Time Domain Adaptation: Qin Wang,

Olga Fink,

Luc Van Gool,

Dengxin Dai; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Qin and Fink, Olga and Van Gool, Luc and Dai, Dengxin}, title = {Continual Test-Time Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7201-7211} }
URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement: Wenhui Wu,

Jian Weng,

Pingping Zhang,

Xu Wang,

Wenhan Yang,

Jianmin Jiang; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2022_CVPR, author = {Wu, Wenhui and Weng, Jian and Zhang, Pingping and Wang, Xu and Yang, Wenhan and Jiang, Jianmin}, title = {URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5901-5910} }
Towards Multi-Domain Single Image Dehazing via Test-Time Training: Huan Liu,

Zijun Wu,

Liangyan Li,

Sadaf Salehkalaibar,

Jun Chen,

Keyan Wang; [pdf]
[bibtex]
@InProceedings{Liu_2022_CVPR, author = {Liu, Huan and Wu, Zijun and Li, Liangyan and Salehkalaibar, Sadaf and Chen, Jun and Wang, Keyan}, title = {Towards Multi-Domain Single Image Dehazing via Test-Time Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5831-5840} }
Federated Learning With Position-Aware Neurons: Xin-Chun Li,

Yi-Chu Xu,

Shaoming Song,

Bingshuai Li,

Yinchuan Li,

Yunfeng Shao,

De-Chuan Zhan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Xin-Chun and Xu, Yi-Chu and Song, Shaoming and Li, Bingshuai and Li, Yinchuan and Shao, Yunfeng and Zhan, De-Chuan}, title = {Federated Learning With Position-Aware Neurons}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10082-10091} }
Fair Contrastive Learning for Facial Attribute Classification: Sungho Park,

Jewook Lee,

Pilhyeon Lee,

Sunhee Hwang,

Dohyung Kim,

Hyeran Byun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Park_2022_CVPR, author = {Park, Sungho and Lee, Jewook and Lee, Pilhyeon and Hwang, Sunhee and Kim, Dohyung and Byun, Hyeran}, title = {Fair Contrastive Learning for Facial Attribute Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10389-10398} }
MDAN: Multi-Level Dependent Attention Network for Visual Emotion Analysis: Liwen Xu,

Zhengtao Wang,

Bin Wu,

Simon Lui; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Liwen and Wang, Zhengtao and Wu, Bin and Lui, Simon}, title = {MDAN: Multi-Level Dependent Attention Network for Visual Emotion Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9479-9488} }
RGB-Depth Fusion GAN for Indoor Depth Completion: Haowen Wang,

Mingyuan Wang,

Zhengping Che,

Zhiyuan Xu,

Xiuquan Qiao,

Mengshi Qi,

Feifei Feng,

Jian Tang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Haowen and Wang, Mingyuan and Che, Zhengping and Xu, Zhiyuan and Qiao, Xiuquan and Qi, Mengshi and Feng, Feifei and Tang, Jian}, title = {RGB-Depth Fusion GAN for Indoor Depth Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6209-6218} }
Human Trajectory Prediction With Momentary Observation: Jianhua Sun,

Yuxuan Li,

Liang Chai,

Hao-Shu Fang,

Yong-Lu Li,

Cewu Lu; [pdf]
[bibtex]
@InProceedings{Sun_2022_CVPR, author = {Sun, Jianhua and Li, Yuxuan and Chai, Liang and Fang, Hao-Shu and Li, Yong-Lu and Lu, Cewu}, title = {Human Trajectory Prediction With Momentary Observation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6467-6476} }
Generating Representative Samples for Few-Shot Classification: Jingyi Xu,

Hieu Le; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Jingyi and Le, Hieu}, title = {Generating Representative Samples for Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9003-9013} }
ELIC: Efficient Learned Image Compression With Unevenly Grouped Space-Channel Contextual Adaptive Coding: Dailan He,

Ziming Yang,

Weikun Peng,

Rui Ma,

Hongwei Qin,

Yan Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2022_CVPR, author = {He, Dailan and Yang, Ziming and Peng, Weikun and Ma, Rui and Qin, Hongwei and Wang, Yan}, title = {ELIC: Efficient Learned Image Compression With Unevenly Grouped Space-Channel Contextual Adaptive Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5718-5727} }
Do Explanations Explain? Model Knows Best: Ashkan Khakzar,

Pedram Khorsandi,

Rozhin Nobahari,

Nassir Navab; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Khakzar_2022_CVPR, author = {Khakzar, Ashkan and Khorsandi, Pedram and Nobahari, Rozhin and Navab, Nassir}, title = {Do Explanations Explain? Model Knows Best}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10244-10253} }
BasicVSR++: Improving Video Super-Resolution With Enhanced Propagation and Alignment: Kelvin C.K. Chan,

Shangchen Zhou,

Xiangyu Xu,

Chen Change Loy; [pdf] [supp]
[bibtex]
@InProceedings{Chan_2022_CVPR, author = {Chan, Kelvin C.K. and Zhou, Shangchen and Xu, Xiangyu and Loy, Chen Change}, title = {BasicVSR++: Improving Video Super-Resolution With Enhanced Propagation and Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5972-5981} }
GuideFormer: Transformers for Image Guided Depth Completion: Kyeongha Rho,

Jinsung Ha,

Youngjung Kim; [pdf] [supp]
[bibtex]
@InProceedings{Rho_2022_CVPR, author = {Rho, Kyeongha and Ha, Jinsung and Kim, Youngjung}, title = {GuideFormer: Transformers for Image Guided Depth Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6250-6259} }
Region-Aware Face Swapping: Chao Xu,

Jiangning Zhang,

Miao Hua,

Qian He,

Zili Yi,

Yong Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Chao and Zhang, Jiangning and Hua, Miao and He, Qian and Yi, Zili and Liu, Yong}, title = {Region-Aware Face Swapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7632-7641} }
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation: Haisong Liu,

Tao Lu,

Yihui Xu,

Jia Liu,

Wenjie Li,

Lijun Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2022_CVPR, author = {Liu, Haisong and Lu, Tao and Xu, Yihui and Liu, Jia and Li, Wenjie and Chen, Lijun}, title = {CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5791-5801} }
BNV-Fusion: Dense 3D Reconstruction Using Bi-Level Neural Volume Fusion: Kejie Li,

Yansong Tang,

Victor Adrian Prisacariu,

Philip H.S. Torr; [pdf] [supp]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Kejie and Tang, Yansong and Prisacariu, Victor Adrian and Torr, Philip H.S.}, title = {BNV-Fusion: Dense 3D Reconstruction Using Bi-Level Neural Volume Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6166-6175} }
Reflash Dropout in Image Super-Resolution: Xiangtao Kong,

Xina Liu,

Jinjin Gu,

Yu Qiao,

Chao Dong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kong_2022_CVPR, author = {Kong, Xiangtao and Liu, Xina and Gu, Jinjin and Qiao, Yu and Dong, Chao}, title = {Reflash Dropout in Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6002-6012} }
WildNet: Learning Domain Generalized Semantic Segmentation From the Wild: Suhyeon Lee,

Hongje Seong,

Seongwon Lee,

Euntai Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2022_CVPR, author = {Lee, Suhyeon and Seong, Hongje and Lee, Seongwon and Kim, Euntai}, title = {WildNet: Learning Domain Generalized Semantic Segmentation From the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9936-9946} }
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage: Zhuohang Li,

Jiaxin Zhang,

Luyang Liu,

Jian Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Zhuohang and Zhang, Jiaxin and Liu, Luyang and Liu, Jian}, title = {Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10132-10142} }
Task Discrepancy Maximization for Fine-Grained Few-Shot Classification: SuBeen Lee,

WonJun Moon,

Jae-Pil Heo; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2022_CVPR, author = {Lee, SuBeen and Moon, WonJun and Heo, Jae-Pil}, title = {Task Discrepancy Maximization for Fine-Grained Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5331-5340} }
FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction: Liang Gao,

Huazhu Fu,

Li Li,

Yingwen Chen,

Ming Xu,

Cheng-Zhong Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2022_CVPR, author = {Gao, Liang and Fu, Huazhu and Li, Li and Chen, Yingwen and Xu, Ming and Xu, Cheng-Zhong}, title = {FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10112-10121} }
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation: Yuenan Hou,

Xinge Zhu,

Yuexin Ma,

Chen Change Loy,

Yikang Li; [pdf] [supp]
[bibtex]
@InProceedings{Hou_2022_CVPR, author = {Hou, Yuenan and Zhu, Xinge and Ma, Yuexin and Loy, Chen Change and Li, Yikang}, title = {Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8479-8488} }
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers: Dominik Zietlow,

Michael Lohaus,

Guha Balakrishnan,

Matthäus Kleindessner,

Francesco Locatello,

Bernhard Schölkopf,

Chris Russell; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zietlow_2022_CVPR, author = {Zietlow, Dominik and Lohaus, Michael and Balakrishnan, Guha and Kleindessner, Matth\"aus and Locatello, Francesco and Sch\"olkopf, Bernhard and Russell, Chris}, title = {Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10410-10421} }
Adiabatic Quantum Computing for Multi Object Tracking: Jan-Nico Zaech,

Alexander Liniger,

Martin Danelljan,

Dengxin Dai,

Luc Van Gool; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zaech_2022_CVPR, author = {Zaech, Jan-Nico and Liniger, Alexander and Danelljan, Martin and Dai, Dengxin and Van Gool, Luc}, title = {Adiabatic Quantum Computing for Multi Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8811-8822} }
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting: Min Shi,

Hao Lu,

Chen Feng,

Chengxin Liu,

Zhiguo Cao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shi_2022_CVPR, author = {Shi, Min and Lu, Hao and Feng, Chen and Liu, Chengxin and Cao, Zhiguo}, title = {Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9529-9538} }
Critical Regularizations for Neural Surface Reconstruction in the Wild: Jingyang Zhang,

Yao Yao,

Shiwei Li,

Tian Fang,

David McKinnon,

Yanghai Tsin,

Long Quan; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jingyang and Yao, Yao and Li, Shiwei and Fang, Tian and McKinnon, David and Tsin, Yanghai and Quan, Long}, title = {Critical Regularizations for Neural Surface Reconstruction in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6270-6279} }
EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning: Hao Zhu,

Piotr Koniusz; [pdf] [supp]
[bibtex]
@InProceedings{Zhu_2022_CVPR, author = {Zhu, Hao and Koniusz, Piotr}, title = {EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9078-9088} }
UCC: Uncertainty Guided Cross-Head Co-Training for Semi-Supervised Semantic Segmentation: Jiashuo Fan,

Bin Gao,

Huan Jin,

Lihui Jiang; [pdf] [arXiv]
[bibtex]
@InProceedings{Fan_2022_CVPR, author = {Fan, Jiashuo and Gao, Bin and Jin, Huan and Jiang, Lihui}, title = {UCC: Uncertainty Guided Cross-Head Co-Training for Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9947-9956} }
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture: Ziyan Wang,

Giljoo Nam,

Tuur Stuyck,

Stephen Lombardi,

Michael Zollhöfer,

Jessica Hodgins,

Christoph Lassner; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Ziyan and Nam, Giljoo and Stuyck, Tuur and Lombardi, Stephen and Zollh\"ofer, Michael and Hodgins, Jessica and Lassner, Christoph}, title = {HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6143-6154} }
Learning Based Multi-Modality Image and Video Compression: Guo Lu,

Tianxiong Zhong,

Jing Geng,

Qiang Hu,

Dong Xu; [pdf] [supp]
[bibtex]
@InProceedings{Lu_2022_CVPR, author = {Lu, Guo and Zhong, Tianxiong and Geng, Jing and Hu, Qiang and Xu, Dong}, title = {Learning Based Multi-Modality Image and Video Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6083-6092} }
Ditto: Building Digital Twins of Articulated Objects From Interaction: Zhenyu Jiang,

Cheng-Chun Hsu,

Yuke Zhu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jiang_2022_CVPR, author = {Jiang, Zhenyu and Hsu, Cheng-Chun and Zhu, Yuke}, title = {Ditto: Building Digital Twins of Articulated Objects From Interaction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5616-5626} }
Transformer Based Line Segment Classifier With Image Context for Real-Time Vanishing Point Detection in Manhattan World: Xin Tong,

Xianghua Ying,

Yongjie Shi,

Ruibin Wang,

Jinfa Yang; [pdf]
[bibtex]
@InProceedings{Tong_2022_CVPR, author = {Tong, Xin and Ying, Xianghua and Shi, Yongjie and Wang, Ruibin and Yang, Jinfa}, title = {Transformer Based Line Segment Classifier With Image Context for Real-Time Vanishing Point Detection in Manhattan World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6093-6102} }
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning: Kai Zhu,

Wei Zhai,

Yang Cao,

Jiebo Luo,

Zheng-Jun Zha; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2022_CVPR, author = {Zhu, Kai and Zhai, Wei and Cao, Yang and Luo, Jiebo and Zha, Zheng-Jun}, title = {Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9296-9305} }
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation: Huan Gao,

Jichang Guo,

Guoli Wang,

Qian Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2022_CVPR, author = {Gao, Huan and Guo, Jichang and Wang, Guoli and Zhang, Qian}, title = {Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9913-9923} }
More Than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech: Michael Hassid,

Michelle Tadmor Ramanovich,

Brendan Shillingford,

Miaosen Wang,

Ye Jia,

Tal Remez; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hassid_2022_CVPR, author = {Hassid, Michael and Ramanovich, Michelle Tadmor and Shillingford, Brendan and Wang, Miaosen and Jia, Ye and Remez, Tal}, title = {More Than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10587-10597} }
Cross-Modal Perceptionist: Can Face Geometry Be Gleaned From Voices?: Cho-Ying Wu,

Chin-Cheng Hsu,

Ulrich Neumann; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2022_CVPR, author = {Wu, Cho-Ying and Hsu, Chin-Cheng and Neumann, Ulrich}, title = {Cross-Modal Perceptionist: Can Face Geometry Be Gleaned From Voices?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10452-10461} }
On Generalizing Beyond Domains in Cross-Domain Continual Learning: Christian Simon,

Masoud Faraki,

Yi-Hsuan Tsai,

Xiang Yu,

Samuel Schulter,

Yumin Suh,

Mehrtash Harandi,

Manmohan Chandraker; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Simon_2022_CVPR, author = {Simon, Christian and Faraki, Masoud and Tsai, Yi-Hsuan and Yu, Xiang and Schulter, Samuel and Suh, Yumin and Harandi, Mehrtash and Chandraker, Manmohan}, title = {On Generalizing Beyond Domains in Cross-Domain Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9265-9274} }
A Closer Look at Few-Shot Image Generation: Yunqing Zhao,

Henghui Ding,

Houjing Huang,

Ngai-Man Cheung; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2022_CVPR, author = {Zhao, Yunqing and Ding, Henghui and Huang, Houjing and Cheung, Ngai-Man}, title = {A Closer Look at Few-Shot Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9140-9150} }
Unsupervised Domain Generalization by Learning a Bridge Across Domains: Sivan Harary,

Eli Schwartz,

Assaf Arbelle,

Peter Staar,

Shady Abu-Hussein,

Elad Amrani,

Roei Herzig,

Amit Alfassy,

Raja Giryes,

Hilde Kuehne,

Dina Katabi,

Kate Saenko,

Rogerio S. Feris,

Leonid Karlinsky; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Harary_2022_CVPR, author = {Harary, Sivan and Schwartz, Eli and Arbelle, Assaf and Staar, Peter and Abu-Hussein, Shady and Amrani, Elad and Herzig, Roei and Alfassy, Amit and Giryes, Raja and Kuehne, Hilde and Katabi, Dina and Saenko, Kate and Feris, Rogerio S. and Karlinsky, Leonid}, title = {Unsupervised Domain Generalization by Learning a Bridge Across Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5280-5290} }
Learning Trajectory-Aware Transformer for Video Super-Resolution: Chengxu Liu,

Huan Yang,

Jianlong Fu,

Xueming Qian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2022_CVPR, author = {Liu, Chengxu and Yang, Huan and Fu, Jianlong and Qian, Xueming}, title = {Learning Trajectory-Aware Transformer for Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5687-5696} }
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification: Shengcai Liao,

Ling Shao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liao_2022_CVPR, author = {Liao, Shengcai and Shao, Ling}, title = {Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7359-7368} }
Undoing the Damage of Label Shift for Cross-Domain Semantic Segmentation: Yahao Liu,

Jinhong Deng,

Jiale Tao,

Tong Chu,

Lixin Duan,

Wen Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2022_CVPR, author = {Liu, Yahao and Deng, Jinhong and Tao, Jiale and Chu, Tong and Duan, Lixin and Li, Wen}, title = {Undoing the Damage of Label Shift for Cross-Domain Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7042-7052} }
GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-Wise Voting: Yan Di,

Ruida Zhang,

Zhiqiang Lou,

Fabian Manhardt,

Xiangyang Ji,

Nassir Navab,

Federico Tombari; [pdf] [supp]
[bibtex]
@InProceedings{Di_2022_CVPR, author = {Di, Yan and Zhang, Ruida and Lou, Zhiqiang and Manhardt, Fabian and Ji, Xiangyang and Navab, Nassir and Tombari, Federico}, title = {GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-Wise Voting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6781-6791} }
Trustworthy Long-Tailed Classification: Bolian Li,

Zongbo Han,

Haining Li,

Huazhu Fu,

Changqing Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Bolian and Han, Zongbo and Li, Haining and Fu, Huazhu and Zhang, Changqing}, title = {Trustworthy Long-Tailed Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6970-6979} }
Mix and Localize: Localizing Sound Sources in Mixtures: Xixi Hu,

Ziyang Chen,

Andrew Owens; [pdf]
[bibtex]
@InProceedings{Hu_2022_CVPR, author = {Hu, Xixi and Chen, Ziyang and Owens, Andrew}, title = {Mix and Localize: Localizing Sound Sources in Mixtures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10483-10492} }
SphericGAN: Semi-Supervised Hyper-Spherical Generative Adversarial Networks for Fine-Grained Image Synthesis: Tianyi Chen,

Yunfei Zhang,

Xiaoyang Huo,

Si Wu,

Yong Xu,

Hau San Wong; [pdf]
[bibtex]
@InProceedings{Chen_2022_CVPR, author = {Chen, Tianyi and Zhang, Yunfei and Huo, Xiaoyang and Wu, Si and Xu, Yong and Wong, Hau San}, title = {SphericGAN: Semi-Supervised Hyper-Spherical Generative Adversarial Networks for Fine-Grained Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10001-10010} }
Image Dehazing Transformer With Transmission-Aware 3D Position Embedding: Chun-Le Guo,

Qixin Yan,

Saeed Anwar,

Runmin Cong,

Wenqi Ren,

Chongyi Li; [pdf] [supp]
[bibtex]
@InProceedings{Guo_2022_CVPR, author = {Guo, Chun-Le and Yan, Qixin and Anwar, Saeed and Cong, Runmin and Ren, Wenqi and Li, Chongyi}, title = {Image Dehazing Transformer With Transmission-Aware 3D Position Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5812-5820} }
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes: Jon Donnelly,

Alina Jade Barnett,

Chaofan Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Donnelly_2022_CVPR, author = {Donnelly, Jon and Barnett, Alina Jade and Chen, Chaofan}, title = {Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10265-10275} }
Context-Aware Sequence Alignment Using 4D Skeletal Augmentation: Taein Kwon,

Bugra Tekin,

Siyu Tang,

Marc Pollefeys; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kwon_2022_CVPR, author = {Kwon, Taein and Tekin, Bugra and Tang, Siyu and Pollefeys, Marc}, title = {Context-Aware Sequence Alignment Using 4D Skeletal Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8172-8182} }
Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition: Jiamin Wu,

Tianzhu Zhang,

Zhe Zhang,

Feng Wu,

Yongdong Zhang; [pdf]
[bibtex]
@InProceedings{Wu_2022_CVPR, author = {Wu, Jiamin and Zhang, Tianzhu and Zhang, Zhe and Wu, Feng and Zhang, Yongdong}, title = {Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9151-9160} }
Focal Sparse Convolutional Networks for 3D Object Detection: Yukang Chen,

Yanwei Li,

Xiangyu Zhang,

Jian Sun,

Jiaya Jia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2022_CVPR, author = {Chen, Yukang and Li, Yanwei and Zhang, Xiangyu and Sun, Jian and Jia, Jiaya}, title = {Focal Sparse Convolutional Networks for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5428-5437} }
Nested Collaborative Learning for Long-Tailed Visual Recognition: Jun Li,

Zichang Tan,

Jun Wan,

Zhen Lei,

Guodong Guo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Jun and Tan, Zichang and Wan, Jun and Lei, Zhen and Guo, Guodong}, title = {Nested Collaborative Learning for Long-Tailed Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6949-6958} }
Restormer: Efficient Transformer for High-Resolution Image Restoration: Syed Waqas Zamir,

Aditya Arora,

Salman Khan,

Munawar Hayat,

Fahad Shahbaz Khan,

Ming-Hsuan Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zamir_2022_CVPR, author = {Zamir, Syed Waqas and Arora, Aditya and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Yang, Ming-Hsuan}, title = {Restormer: Efficient Transformer for High-Resolution Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5728-5739} }
Learning Distinctive Margin Toward Active Domain Adaptation: Ming Xie,

Yuxi Li,

Yabiao Wang,

Zekun Luo,

Zhenye Gan,

Zhongyi Sun,

Mingmin Chi,

Chengjie Wang,

Pei Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xie_2022_CVPR, author = {Xie, Ming and Li, Yuxi and Wang, Yabiao and Luo, Zekun and Gan, Zhenye and Sun, Zhongyi and Chi, Mingmin and Wang, Chengjie and Wang, Pei}, title = {Learning Distinctive Margin Toward Active Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7993-8002} }
Neural Inertial Localization: Sachini Herath,

David Caruso,

Chen Liu,

Yufan Chen,

Yasutaka Furukawa; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Herath_2022_CVPR, author = {Herath, Sachini and Caruso, David and Liu, Chen and Chen, Yufan and Furukawa, Yasutaka}, title = {Neural Inertial Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6604-6613} }
Finding Fallen Objects via Asynchronous Audio-Visual Integration: Chuang Gan,

Yi Gu,

Siyuan Zhou,

Jeremy Schwartz,

Seth Alter,

James Traer,

Dan Gutfreund,

Joshua B. Tenenbaum,

Josh H. McDermott,

Antonio Torralba; [pdf]
[bibtex]
@InProceedings{Gan_2022_CVPR, author = {Gan, Chuang and Gu, Yi and Zhou, Siyuan and Schwartz, Jeremy and Alter, Seth and Traer, James and Gutfreund, Dan and Tenenbaum, Joshua B. and McDermott, Josh H. and Torralba, Antonio}, title = {Finding Fallen Objects via Asynchronous Audio-Visual Integration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10523-10533} }
Semi-Supervised Object Detection via Multi-Instance Alignment With Global Class Prototypes: Aoxue Li,

Peng Yuan,

Zhenguo Li; [pdf] [supp]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Aoxue and Yuan, Peng and Li, Zhenguo}, title = {Semi-Supervised Object Detection via Multi-Instance Alignment With Global Class Prototypes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9809-9818} }
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning: Wenjia Xu,

Yongqin Xian,

Jiuniu Wang,

Bernt Schiele,

Zeynep Akata; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Wenjia and Xian, Yongqin and Wang, Jiuniu and Schiele, Bernt and Akata, Zeynep}, title = {VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9316-9325} }
Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection: Choubo Ding,

Guansong Pang,

Chunhua Shen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ding_2022_CVPR, author = {Ding, Choubo and Pang, Guansong and Shen, Chunhua}, title = {Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7388-7398} }
Multimodal Colored Point Cloud to Image Alignment: Noam Rotstein,

Amit Bracha,

Ron Kimmel; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Rotstein_2022_CVPR, author = {Rotstein, Noam and Bracha, Amit and Kimmel, Ron}, title = {Multimodal Colored Point Cloud to Image Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6656-6666} }
MotionAug: Augmentation With Physical Correction for Human Motion Prediction: Takahiro Maeda,

Norimichi Ukita; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Maeda_2022_CVPR, author = {Maeda, Takahiro and Ukita, Norimichi}, title = {MotionAug: Augmentation With Physical Correction for Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6427-6436} }
Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity: Yuntong Ye,

Changfeng Yu,

Yi Chang,

Lin Zhu,

Xi-Le Zhao,

Luxin Yan,

Yonghong Tian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ye_2022_CVPR, author = {Ye, Yuntong and Yu, Changfeng and Chang, Yi and Zhu, Lin and Zhao, Xi-Le and Yan, Luxin and Tian, Yonghong}, title = {Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5821-5830} }
Simple Multi-Dataset Detection: Xingyi Zhou,

Vladlen Koltun,

Philipp Krähenbühl; [pdf] [supp]
[bibtex]
@InProceedings{Zhou_2022_CVPR, author = {Zhou, Xingyi and Koltun, Vladlen and Kr\"ahenb\"uhl, Philipp}, title = {Simple Multi-Dataset Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7571-7580} }
Sketch3T: Test-Time Training for Zero-Shot SBIR: Aneeshan Sain,

Ayan Kumar Bhunia,

Vaishnav Potlapalli,

Pinaki Nath Chowdhury,

Tao Xiang,

Yi-Zhe Song; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sain_2022_CVPR, author = {Sain, Aneeshan and Bhunia, Ayan Kumar and Potlapalli, Vaishnav and Chowdhury, Pinaki Nath and Xiang, Tao and Song, Yi-Zhe}, title = {Sketch3T: Test-Time Training for Zero-Shot SBIR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7462-7471} }
Towards Discriminative Representation: Multi-View Trajectory Contrastive Learning for Online Multi-Object Tracking: En Yu,

Zhuoling Li,

Shoudong Han; [pdf] [arXiv]
[bibtex]
@InProceedings{Yu_2022_CVPR, author = {Yu, En and Li, Zhuoling and Han, Shoudong}, title = {Towards Discriminative Representation: Multi-View Trajectory Contrastive Learning for Online Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8834-8843} }
Audio-Visual Generalised Zero-Shot Learning With Cross-Modal Attention and Language: Otniel-Bogdan Mercea,

Lukas Riesch,

A. Sophia Koepke,

Zeynep Akata; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mercea_2022_CVPR, author = {Mercea, Otniel-Bogdan and Riesch, Lukas and Koepke, A. Sophia and Akata, Zeynep}, title = {Audio-Visual Generalised Zero-Shot Learning With Cross-Modal Attention and Language}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10553-10563} }
AdaMixer: A Fast-Converging Query-Based Object Detector: Ziteng Gao,

Limin Wang,

Bing Han,

Sheng Guo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2022_CVPR, author = {Gao, Ziteng and Wang, Limin and Han, Bing and Guo, Sheng}, title = {AdaMixer: A Fast-Converging Query-Based Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5364-5373} }
Deep Unlearning via Randomized Conditionally Independent Hessians: Ronak Mehta,

Sourav Pal,

Vikas Singh,

Sathya N. Ravi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mehta_2022_CVPR, author = {Mehta, Ronak and Pal, Sourav and Singh, Vikas and Ravi, Sathya N.}, title = {Deep Unlearning via Randomized Conditionally Independent Hessians}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10422-10431} }
Patch-Level Representation Learning for Self-Supervised Vision Transformers: Sukmin Yun,

Hankook Lee,

Jaehyung Kim,

Jinwoo Shin; [pdf] [supp]
[bibtex]
@InProceedings{Yun_2022_CVPR, author = {Yun, Sukmin and Lee, Hankook and Kim, Jaehyung and Shin, Jinwoo}, title = {Patch-Level Representation Learning for Self-Supervised Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8354-8363} }
Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection: Li Yin,

Juan M. Perez-Rua,

Kevin J. Liang; [pdf]
[bibtex]
@InProceedings{Yin_2022_CVPR, author = {Yin, Li and Perez-Rua, Juan M. and Liang, Kevin J.}, title = {Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9035-9045} }
What To Look at and Where: Semantic and Spatial Refined Transformer for Detecting Human-Object Interactions: A S M Iftekhar,

Hao Chen,

Kaustav Kundu,

Xinyu Li,

Joseph Tighe,

Davide Modolo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Iftekhar_2022_CVPR, author = {Iftekhar, A S M and Chen, Hao and Kundu, Kaustav and Li, Xinyu and Tighe, Joseph and Modolo, Davide}, title = {What To Look at and Where: Semantic and Spatial Refined Transformer for Detecting Human-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5353-5363} }
Stereo Magnification With Multi-Layer Images: Taras Khakhulin,

Denis Korzhenkov,

Pavel Solovev,

Gleb Sterkin,

Andrei-Timotei Ardelean,

Victor Lempitsky; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Khakhulin_2022_CVPR, author = {Khakhulin, Taras and Korzhenkov, Denis and Solovev, Pavel and Sterkin, Gleb and Ardelean, Andrei-Timotei and Lempitsky, Victor}, title = {Stereo Magnification With Multi-Layer Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8687-8696} }
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking: Duy M. H. Nguyen,

Roberto Henschel,

Bodo Rosenhahn,

Daniel Sonntag,

Paul Swoboda; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nguyen_2022_CVPR, author = {Nguyen, Duy M. H. and Henschel, Roberto and Rosenhahn, Bodo and Sonntag, Daniel and Swoboda, Paul}, title = {LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8866-8875} }
Stereo Depth From Events Cameras: Concentrate and Focus on the Future: Yeongwoo Nam,

Mohammad Mostafavi,

Kuk-Jin Yoon,

Jonghyun Choi; [pdf] [supp]
[bibtex]
@InProceedings{Nam_2022_CVPR, author = {Nam, Yeongwoo and Mostafavi, Mohammad and Yoon, Kuk-Jin and Choi, Jonghyun}, title = {Stereo Depth From Events Cameras: Concentrate and Focus on the Future}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6114-6123} }
A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection: Dongran Yu,

Bo Yang,

Qianhao Wei,

Anchen Li,

Shirui Pan; [pdf]
[bibtex]
@InProceedings{Yu_2022_CVPR, author = {Yu, Dongran and Yang, Bo and Wei, Qianhao and Li, Anchen and Pan, Shirui}, title = {A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10609-10618} }
Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability: Ruifei He,

Shuyang Sun,

Jihan Yang,

Song Bai,

Xiaojuan Qi; [pdf] [supp]
[bibtex]
@InProceedings{He_2022_CVPR, author = {He, Ruifei and Sun, Shuyang and Yang, Jihan and Bai, Song and Qi, Xiaojuan}, title = {Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9161-9171} }
Integrative Few-Shot Learning for Classification and Segmentation: Dahyun Kang,

Minsu Cho; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kang_2022_CVPR, author = {Kang, Dahyun and Cho, Minsu}, title = {Integrative Few-Shot Learning for Classification and Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9979-9990} }
Learning Fair Classifiers With Partially Annotated Group Labels: Sangwon Jung,

Sanghyuk Chun,

Taesup Moon; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jung_2022_CVPR, author = {Jung, Sangwon and Chun, Sanghyuk and Moon, Taesup}, title = {Learning Fair Classifiers With Partially Annotated Group Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10348-10357} }
Constrained Few-Shot Class-Incremental Learning: Michael Hersche,

Geethan Karunaratne,

Giovanni Cherubini,

Luca Benini,

Abu Sebastian,

Abbas Rahimi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hersche_2022_CVPR, author = {Hersche, Michael and Karunaratne, Geethan and Cherubini, Giovanni and Benini, Luca and Sebastian, Abu and Rahimi, Abbas}, title = {Constrained Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9057-9067} }
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks: Peri Akiva,

Matthew Purri,

Matthew Leotta; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Akiva_2022_CVPR, author = {Akiva, Peri and Purri, Matthew and Leotta, Matthew}, title = {Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8203-8215} }
Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints: Chengdong Dong,

Ajay Kumar,

Eryun Liu; [pdf] [supp]
[bibtex]
@InProceedings{Dong_2022_CVPR, author = {Dong, Chengdong and Kumar, Ajay and Liu, Eryun}, title = {Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7865-7874} }
RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning: Xiaoxiao Liang,

Yiqun Lin,

Huazhu Fu,

Lei Zhu,

Xiaomeng Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liang_2022_CVPR, author = {Liang, Xiaoxiao and Lin, Yiqun and Fu, Huazhu and Zhu, Lei and Li, Xiaomeng}, title = {RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10154-10163} }
TransMVSNet: Global Context-Aware Multi-View Stereo Network With Transformers: Yikang Ding,

Wentao Yuan,

Qingtian Zhu,

Haotian Zhang,

Xiangyue Liu,

Yuanjiang Wang,

Xiao Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ding_2022_CVPR, author = {Ding, Yikang and Yuan, Wentao and Zhu, Qingtian and Zhang, Haotian and Liu, Xiangyue and Wang, Yuanjiang and Liu, Xiao}, title = {TransMVSNet: Global Context-Aware Multi-View Stereo Network With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8585-8594} }
iFS-RCNN: An Incremental Few-Shot Instance Segmenter: Khoi Nguyen,

Sinisa Todorovic; [pdf] [supp]
[bibtex]
@InProceedings{Nguyen_2022_CVPR, author = {Nguyen, Khoi and Todorovic, Sinisa}, title = {iFS-RCNN: An Incremental Few-Shot Instance Segmenter}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7010-7019} }
DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis: Jia-Wei Chen,

Chia-Mu Yu,

Ching-Chia Kao,

Tzai-Wei Pang,

Chun-Shien Lu; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2022_CVPR, author = {Chen, Jia-Wei and Yu, Chia-Mu and Kao, Ching-Chia and Pang, Tzai-Wei and Lu, Chun-Shien}, title = {DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8387-8396} }
The Majority Can Help the Minority: Context-Rich Minority Oversampling for Long-Tailed Classification: Seulki Park,

Youngkyu Hong,

Byeongho Heo,

Sangdoo Yun,

Jin Young Choi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Park_2022_CVPR, author = {Park, Seulki and Hong, Youngkyu and Heo, Byeongho and Yun, Sangdoo and Choi, Jin Young}, title = {The Majority Can Help the Minority: Context-Rich Minority Oversampling for Long-Tailed Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6887-6896} }
IntentVizor: Towards Generic Query Guided Interactive Video Summarization: Guande Wu,

Jianzhe Lin,

Claudio T. Silva; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2022_CVPR, author = {Wu, Guande and Lin, Jianzhe and Silva, Claudio T.}, title = {IntentVizor: Towards Generic Query Guided Interactive Video Summarization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10503-10512} }
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations: Mehdi S. M. Sajjadi,

Henning Meyer,

Etienne Pot,

Urs Bergmann,

Klaus Greff,

Noha Radwan,

Suhani Vora,

Mario Lučić,

Daniel Duckworth,

Alexey Dosovitskiy,

Jakob Uszkoreit,

Thomas Funkhouser,

Andrea Tagliasacchi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sajjadi_2022_CVPR, author = {Sajjadi, Mehdi S. M. and Meyer, Henning and Pot, Etienne and Bergmann, Urs and Greff, Klaus and Radwan, Noha and Vora, Suhani and Lu\v{c}i\'c, Mario and Duckworth, Daniel and Dosovitskiy, Alexey and Uszkoreit, Jakob and Funkhouser, Thomas and Tagliasacchi, Andrea}, title = {Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6229-6238} }
Bootstrapping ViTs: Towards Liberating Vision Transformers From Pre-Training: Haofei Zhang,

Jiarui Duan,

Mengqi Xue,

Jie Song,

Li Sun,

Mingli Song; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Haofei and Duan, Jiarui and Xue, Mengqi and Song, Jie and Sun, Li and Song, Mingli}, title = {Bootstrapping ViTs: Towards Liberating Vision Transformers From Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8944-8953} }
Styleformer: Transformer Based Generative Adversarial Networks With Style Vector: Jeeseung Park,

Younggeun Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Park_2022_CVPR, author = {Park, Jeeseung and Kim, Younggeun}, title = {Styleformer: Transformer Based Generative Adversarial Networks With Style Vector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8983-8992} }
Light Field Neural Rendering: Mohammed Suhail,

Carlos Esteves,

Leonid Sigal,

Ameesh Makadia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Suhail_2022_CVPR, author = {Suhail, Mohammed and Esteves, Carlos and Sigal, Leonid and Makadia, Ameesh}, title = {Light Field Neural Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8269-8279} }
Augmented Geometric Distillation for Data-Free Incremental Person ReID: Yichen Lu,

Mei Wang,

Weihong Deng; [pdf] [supp]
[bibtex]
@InProceedings{Lu_2022_CVPR, author = {Lu, Yichen and Wang, Mei and Deng, Weihong}, title = {Augmented Geometric Distillation for Data-Free Incremental Person ReID}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7329-7338} }
Style Neophile: Constantly Seeking Novel Styles for Domain Generalization: Juwon Kang,

Sohyun Lee,

Namyup Kim,

Suha Kwak; [pdf]
[bibtex]
@InProceedings{Kang_2022_CVPR, author = {Kang, Juwon and Lee, Sohyun and Kim, Namyup and Kwak, Suha}, title = {Style Neophile: Constantly Seeking Novel Styles for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7130-7140} }
RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry: Xiya Cao,

Caifa Zhou,

Dandan Zeng,

Yongliang Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cao_2022_CVPR, author = {Cao, Xiya and Zhou, Caifa and Zeng, Dandan and Wang, Yongliang}, title = {RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6614-6623} }
Adaptive Trajectory Prediction via Transferable GNN: Yi Xu,

Lichen Wang,

Yizhou Wang,

Yun Fu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Yi and Wang, Lichen and Wang, Yizhou and Fu, Yun}, title = {Adaptive Trajectory Prediction via Transferable GNN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6520-6531} }
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds: Zhao Jin,

Yinjie Lei,

Naveed Akhtar,

Haifeng Li,

Munawar Hayat; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jin_2022_CVPR, author = {Jin, Zhao and Lei, Yinjie and Akhtar, Naveed and Li, Haifeng and Hayat, Munawar}, title = {Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7233-7243} }
Learn From Others and Be Yourself in Heterogeneous Federated Learning: Wenke Huang,

Mang Ye,

Bo Du; [pdf]
[bibtex]
@InProceedings{Huang_2022_CVPR, author = {Huang, Wenke and Ye, Mang and Du, Bo}, title = {Learn From Others and Be Yourself in Heterogeneous Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10143-10153} }
Semantic-Aware Auto-Encoders for Self-Supervised Representation Learning: Guangrun Wang,

Yansong Tang,

Liang Lin,

Philip H.S. Torr; [pdf]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Guangrun and Tang, Yansong and Lin, Liang and Torr, Philip H.S.}, title = {Semantic-Aware Auto-Encoders for Self-Supervised Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9664-9675} }
Consistent Explanations by Contrastive Learning: Vipin Pillai,

Soroush Abbasi Koohpayegani,

Ashley Ouligian,

Dennis Fong,

Hamed Pirsiavash; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pillai_2022_CVPR, author = {Pillai, Vipin and Koohpayegani, Soroush Abbasi and Ouligian, Ashley and Fong, Dennis and Pirsiavash, Hamed}, title = {Consistent Explanations by Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10213-10222} }
Text2Pos: Text-to-Point-Cloud Cross-Modal Localization: Manuel Kolmet,

Qunjie Zhou,

Aljoša Ošep,

Laura Leal-Taixé; [pdf] [supp]
[bibtex]
@InProceedings{Kolmet_2022_CVPR, author = {Kolmet, Manuel and Zhou, Qunjie and O\v{s}ep, Aljo\v{s}a and Leal-Taix\'e, Laura}, title = {Text2Pos: Text-to-Point-Cloud Cross-Modal Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6687-6696} }
Salient-to-Broad Transition for Video Person Re-Identification: Shutao Bai,

Bingpeng Ma,

Hong Chang,

Rui Huang,

Xilin Chen; [pdf] [supp]
[bibtex]
@InProceedings{Bai_2022_CVPR, author = {Bai, Shutao and Ma, Bingpeng and Chang, Hong and Huang, Rui and Chen, Xilin}, title = {Salient-to-Broad Transition for Video Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7339-7348} }
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction: Tiezheng Ma,

Yongwei Nie,

Chengjiang Long,

Qing Zhang,

Guiqing Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ma_2022_CVPR, author = {Ma, Tiezheng and Nie, Yongwei and Long, Chengjiang and Zhang, Qing and Li, Guiqing}, title = {Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6437-6446} }
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction: Qiao Sun,

Xin Huang,

Junru Gu,

Brian C. Williams,

Hang Zhao; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2022_CVPR, author = {Sun, Qiao and Huang, Xin and Gu, Junru and Williams, Brian C. and Zhao, Hang}, title = {M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6543-6552} }
Domain Adaptation on Point Clouds via Geometry-Aware Implicits: Yuefan Shen,

Yanchao Yang,

Mi Yan,

He Wang,

Youyi Zheng,

Leonidas J. Guibas; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shen_2022_CVPR, author = {Shen, Yuefan and Yang, Yanchao and Yan, Mi and Wang, He and Zheng, Youyi and Guibas, Leonidas J.}, title = {Domain Adaptation on Point Clouds via Geometry-Aware Implicits}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7223-7232} }
NeuralHOFusion: Neural Volumetric Rendering Under Human-Object Interactions: Yuheng Jiang,

Suyi Jiang,

Guoxing Sun,

Zhuo Su,

Kaiwen Guo,

Minye Wu,

Jingyi Yu,

Lan Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jiang_2022_CVPR, author = {Jiang, Yuheng and Jiang, Suyi and Sun, Guoxing and Su, Zhuo and Guo, Kaiwen and Wu, Minye and Yu, Jingyi and Xu, Lan}, title = {NeuralHOFusion: Neural Volumetric Rendering Under Human-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6155-6165} }
Cross-Domain Few-Shot Learning With Task-Specific Adapters: Wei-Hong Li,

Xialei Liu,

Hakan Bilen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Wei-Hong and Liu, Xialei and Bilen, Hakan}, title = {Cross-Domain Few-Shot Learning With Task-Specific Adapters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7161-7170} }
MAXIM: Multi-Axis MLP for Image Processing: Zhengzhong Tu,

Hossein Talebi,

Han Zhang,

Feng Yang,

Peyman Milanfar,

Alan Bovik,

Yinxiao Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tu_2022_CVPR, author = {Tu, Zhengzhong and Talebi, Hossein and Zhang, Han and Yang, Feng and Milanfar, Peyman and Bovik, Alan and Li, Yinxiao}, title = {MAXIM: Multi-Axis MLP for Image Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5769-5780} }
Towards Better Understanding Attribution Methods: Sukrut Rao,

Moritz Böhle,

Bernt Schiele; [pdf] [supp]
[bibtex]
@InProceedings{Rao_2022_CVPR, author = {Rao, Sukrut and B\"ohle, Moritz and Schiele, Bernt}, title = {Towards Better Understanding Attribution Methods}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10223-10232} }
PSTR: End-to-End One-Step Person Search With Transformers: Jiale Cao,

Yanwei Pang,

Rao Muhammad Anwer,

Hisham Cholakkal,

Jin Xie,

Mubarak Shah,

Fahad Shahbaz Khan; [pdf] [arXiv]
[bibtex]
@InProceedings{Cao_2022_CVPR, author = {Cao, Jiale and Pang, Yanwei and Anwer, Rao Muhammad and Cholakkal, Hisham and Xie, Jin and Shah, Mubarak and Khan, Fahad Shahbaz}, title = {PSTR: End-to-End One-Step Person Search With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9458-9467} }
NFormer: Robust Person Re-Identification With Neighbor Transformer: Haochen Wang,

Jiayi Shen,

Yongtuo Liu,

Yan Gao,

Efstratios Gavves; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Haochen and Shen, Jiayi and Liu, Yongtuo and Gao, Yan and Gavves, Efstratios}, title = {NFormer: Robust Person Re-Identification With Neighbor Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7297-7307} }
Unseen Classes at a Later Time? No Problem: Hari Chandana Kuchibhotla,

Sumitra S Malagi,

Shivam Chandhok,

Vineeth N Balasubramanian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kuchibhotla_2022_CVPR, author = {Kuchibhotla, Hari Chandana and Malagi, Sumitra S and Chandhok, Shivam and Balasubramanian, Vineeth N}, title = {Unseen Classes at a Later Time? No Problem}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9245-9254} }
Learning the Degradation Distribution for Blind Image Super-Resolution: Zhengxiong Luo,

Yan Huang,

Shang Li,

Liang Wang,

Tieniu Tan; [pdf] [arXiv]
[bibtex]
@InProceedings{Luo_2022_CVPR, author = {Luo, Zhengxiong and Huang, Yan and Li, Shang and Wang, Liang and Tan, Tieniu}, title = {Learning the Degradation Distribution for Blind Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6063-6072} }
Retrieval Augmented Classification for Long-Tail Visual Recognition: Alexander Long,

Wei Yin,

Thalaiyasingam Ajanthan,

Vu Nguyen,

Pulak Purkait,

Ravi Garg,

Alan Blair,

Chunhua Shen,

Anton van den Hengel; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Long_2022_CVPR, author = {Long, Alexander and Yin, Wei and Ajanthan, Thalaiyasingam and Nguyen, Vu and Purkait, Pulak and Garg, Ravi and Blair, Alan and Shen, Chunhua and van den Hengel, Anton}, title = {Retrieval Augmented Classification for Long-Tail Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6959-6969} }
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks: Fawaz Sammani,

Tanmoy Mukherjee,

Nikos Deligiannis; [pdf] [supp]
[bibtex]
@InProceedings{Sammani_2022_CVPR, author = {Sammani, Fawaz and Mukherjee, Tanmoy and Deligiannis, Nikos}, title = {NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8322-8332} }
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation: Yingzhi Tang,

Yue Qian,

Qijian Zhang,

Yiming Zeng,

Junhui Hou,

Xuefei Zhe; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2022_CVPR, author = {Tang, Yingzhi and Qian, Yue and Zhang, Qijian and Zeng, Yiming and Hou, Junhui and Zhe, Xuefei}, title = {WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6397-6405} }
Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild: Mingzhen Huang,

Supreeth Narasimhaswamy,

Saif Vazir,

Haibin Ling,

Minh Hoai; [pdf]
[bibtex]
@InProceedings{Huang_2022_CVPR, author = {Huang, Mingzhen and Narasimhaswamy, Supreeth and Vazir, Saif and Ling, Haibin and Hoai, Minh}, title = {Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6406-6416} }
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework: Ningkai Mo,

Wanshui Gan,

Naoto Yokoya,

Shifeng Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mo_2022_CVPR, author = {Mo, Ningkai and Gan, Wanshui and Yokoya, Naoto and Chen, Shifeng}, title = {ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6718-6727} }
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization: Nanyang Ye,

Kaican Li,

Haoyue Bai,

Runpeng Yu,

Lanqing Hong,

Fengwei Zhou,

Zhenguo Li,

Jun Zhu; [pdf] [supp]
[bibtex]
@InProceedings{Ye_2022_CVPR, author = {Ye, Nanyang and Li, Kaican and Bai, Haoyue and Yu, Runpeng and Hong, Lanqing and Zhou, Fengwei and Li, Zhenguo and Zhu, Jun}, title = {OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7947-7958} }
OnePose: One-Shot Object Pose Estimation Without CAD Models: Jiaming Sun,

Zihao Wang,

Siyu Zhang,

Xingyi He,

Hongcheng Zhao,

Guofeng Zhang,

Xiaowei Zhou; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2022_CVPR, author = {Sun, Jiaming and Wang, Zihao and Zhang, Siyu and He, Xingyi and Zhao, Hongcheng and Zhang, Guofeng and Zhou, Xiaowei}, title = {OnePose: One-Shot Object Pose Estimation Without CAD Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6825-6834} }
Federated Class-Incremental Learning: Jiahua Dong,

Lixu Wang,

Zhen Fang,

Gan Sun,

Shichao Xu,

Xiao Wang,

Qi Zhu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dong_2022_CVPR, author = {Dong, Jiahua and Wang, Lixu and Fang, Zhen and Sun, Gan and Xu, Shichao and Wang, Xiao and Zhu, Qi}, title = {Federated Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10164-10173} }
Extracting Triangular 3D Models, Materials, and Lighting From Images: Jacob Munkberg,

Jon Hasselgren,

Tianchang Shen,

Jun Gao,

Wenzheng Chen,

Alex Evans,

Thomas Müller,

Sanja Fidler; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Munkberg_2022_CVPR, author = {Munkberg, Jacob and Hasselgren, Jon and Shen, Tianchang and Gao, Jun and Chen, Wenzheng and Evans, Alex and M\"uller, Thomas and Fidler, Sanja}, title = {Extracting Triangular 3D Models, Materials, and Lighting From Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8280-8290} }
Parameter-Free Online Test-Time Adaptation: Malik Boudiaf,

Romain Mueller,

Ismail Ben Ayed,

Luca Bertinetto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Boudiaf_2022_CVPR, author = {Boudiaf, Malik and Mueller, Romain and Ben Ayed, Ismail and Bertinetto, Luca}, title = {Parameter-Free Online Test-Time Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8344-8353} }
SIGMA: Semantic-Complete Graph Matching for Domain Adaptive Object Detection: Wuyang Li,

Xinyu Liu,

Yixuan Yuan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Wuyang and Liu, Xinyu and Yuan, Yixuan}, title = {SIGMA: Semantic-Complete Graph Matching for Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5291-5300} }
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning: Haoxiang Wang,

Yite Wang,

Ruoyu Sun,

Bo Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Haoxiang and Wang, Yite and Sun, Ruoyu and Li, Bo}, title = {Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9797-9808} }
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces: Jia-Xing Zhong,

Kaichen Zhou,

Qingyong Hu,

Bing Wang,

Niki Trigoni,

Andrew Markham; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhong_2022_CVPR, author = {Zhong, Jia-Xing and Zhou, Kaichen and Hu, Qingyong and Wang, Bing and Trigoni, Niki and Markham, Andrew}, title = {No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8510-8520} }
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction: Zikang Zhou,

Luyao Ye,

Jianping Wang,

Kui Wu,

Kejie Lu; [pdf] [supp]
[bibtex]
@InProceedings{Zhou_2022_CVPR, author = {Zhou, Zikang and Ye, Luyao and Wang, Jianping and Wu, Kui and Lu, Kejie}, title = {HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8823-8833} }
Correlation-Aware Deep Tracking: Fei Xie,

Chunyu Wang,

Guangting Wang,

Yue Cao,

Wankou Yang,

Wenjun Zeng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xie_2022_CVPR, author = {Xie, Fei and Wang, Chunyu and Wang, Guangting and Cao, Yue and Yang, Wankou and Zeng, Wenjun}, title = {Correlation-Aware Deep Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8751-8760} }
Implicit Sample Extension for Unsupervised Person Re-Identification: Xinyu Zhang,

Dongdong Li,

Zhigang Wang,

Jian Wang,

Errui Ding,

Javen Qinfeng Shi,

Zhaoxiang Zhang,

Jingdong Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Xinyu and Li, Dongdong and Wang, Zhigang and Wang, Jian and Ding, Errui and Shi, Javen Qinfeng and Zhang, Zhaoxiang and Wang, Jingdong}, title = {Implicit Sample Extension for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7369-7378} }
Energy-Based Latent Aligner for Incremental Learning: K J Joseph,

Salman Khan,

Fahad Shahbaz Khan,

Rao Muhammad Anwer,

Vineeth N Balasubramanian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Joseph_2022_CVPR, author = {Joseph, K J and Khan, Salman and Khan, Fahad Shahbaz and Anwer, Rao Muhammad and Balasubramanian, Vineeth N}, title = {Energy-Based Latent Aligner for Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7452-7461} }
GanOrCon: Are Generative Models Useful for Few-Shot Segmentation?: Oindrila Saha,

Zezhou Cheng,

Subhransu Maji; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Saha_2022_CVPR, author = {Saha, Oindrila and Cheng, Zezhou and Maji, Subhransu}, title = {GanOrCon: Are Generative Models Useful for Few-Shot Segmentation?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9991-10000} }
Reading To Listen at the Cocktail Party: Multi-Modal Speech Separation: Akam Rahimi,

Triantafyllos Afouras,

Andrew Zisserman; [pdf]
[bibtex]
@InProceedings{Rahimi_2022_CVPR, author = {Rahimi, Akam and Afouras, Triantafyllos and Zisserman, Andrew}, title = {Reading To Listen at the Cocktail Party: Multi-Modal Speech Separation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10493-10502} }
Group R-CNN for Weakly Semi-Supervised Object Detection With Points: Shilong Zhang,

Zhuoran Yu,

Liyang Liu,

Xinjiang Wang,

Aojun Zhou,

Kai Chen; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Shilong and Yu, Zhuoran and Liu, Liyang and Wang, Xinjiang and Zhou, Aojun and Chen, Kai}, title = {Group R-CNN for Weakly Semi-Supervised Object Detection With Points}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9417-9426} }
Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction: Wei Mao,

Miaomiao Liu,

Mathieu Salzmann; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mao_2022_CVPR, author = {Mao, Wei and Liu, Miaomiao and Salzmann, Mathieu}, title = {Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8151-8160} }
Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction: Zhihao Hu,

Guo Lu,

Jinyang Guo,

Shan Liu,

Wei Jiang,

Dong Xu; [pdf]
[bibtex]
@InProceedings{Hu_2022_CVPR, author = {Hu, Zhihao and Lu, Guo and Guo, Jinyang and Liu, Shan and Jiang, Wei and Xu, Dong}, title = {Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5921-5930} }
SAR-Net: Shape Alignment and Recovery Network for Category-Level 6D Object Pose and Size Estimation: Haitao Lin,

Zichang Liu,

Chilam Cheang,

Yanwei Fu,

Guodong Guo,

Xiangyang Xue; [pdf] [supp]
[bibtex]
@InProceedings{Lin_2022_CVPR, author = {Lin, Haitao and Liu, Zichang and Cheang, Chilam and Fu, Yanwei and Guo, Guodong and Xue, Xiangyang}, title = {SAR-Net: Shape Alignment and Recovery Network for Category-Level 6D Object Pose and Size Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6707-6717} }
Mutual Quantization for Cross-Modal Search With Noisy Labels: Erkun Yang,

Dongren Yao,

Tongliang Liu,

Cheng Deng; [pdf]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Erkun and Yao, Dongren and Liu, Tongliang and Deng, Cheng}, title = {Mutual Quantization for Cross-Modal Search With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7551-7560} }
SphereSR: 360deg Image Super-Resolution With Arbitrary Projection via Continuous Spherical Image Representation: Youngho Yoon,

Inchul Chung,

Lin Wang,

Kuk-Jin Yoon; [pdf] [supp]
[bibtex]
@InProceedings{Yoon_2022_CVPR, author = {Yoon, Youngho and Chung, Inchul and Wang, Lin and Yoon, Kuk-Jin}, title = {SphereSR: 360deg Image Super-Resolution With Arbitrary Projection via Continuous Spherical Image Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5677-5686} }
Cross Domain Object Detection by Target-Perceived Dual Branch Distillation: Mengzhe He,

Yali Wang,

Jiaxi Wu,

Yiru Wang,

Hanqing Li,

Bo Li,

Weihao Gan,

Wei Wu,

Yu Qiao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2022_CVPR, author = {He, Mengzhe and Wang, Yali and Wu, Jiaxi and Wang, Yiru and Li, Hanqing and Li, Bo and Gan, Weihao and Wu, Wei and Qiao, Yu}, title = {Cross Domain Object Detection by Target-Perceived Dual Branch Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9570-9580} }
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation: Tao Feng,

Mang Wang,

Hangjie Yuan; [pdf] [arXiv]
[bibtex]
@InProceedings{Feng_2022_CVPR, author = {Feng, Tao and Wang, Mang and Yuan, Hangjie}, title = {Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9427-9436} }
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning: Chenxin Xu,

Maosen Li,

Zhenyang Ni,

Ya Zhang,

Siheng Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Chenxin and Li, Maosen and Ni, Zhenyang and Zhang, Ya and Chen, Siheng}, title = {GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6498-6507} }
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation: Dayan Guan,

Jiaxing Huang,

Aoran Xiao,

Shijian Lu; [pdf] [arXiv]
[bibtex]
@InProceedings{Guan_2022_CVPR, author = {Guan, Dayan and Huang, Jiaxing and Xiao, Aoran and Lu, Shijian}, title = {Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9968-9978} }
Coupled Iterative Refinement for 6D Multi-Object Pose Estimation: Lahav Lipson,

Zachary Teed,

Ankit Goyal,

Jia Deng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lipson_2022_CVPR, author = {Lipson, Lahav and Teed, Zachary and Goyal, Ankit and Deng, Jia}, title = {Coupled Iterative Refinement for 6D Multi-Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6728-6737} }
Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory: Sangmin Lee,

Hyung-Il Kim,

Yong Man Ro; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2022_CVPR, author = {Lee, Sangmin and Kim, Hyung-Il and Ro, Yong Man}, title = {Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10534-10543} }
PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models: Tai-Yin Chiu,

Danna Gurari; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chiu_2022_CVPR, author = {Chiu, Tai-Yin and Gurari, Danna}, title = {PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7844-7853} }
Transformer Tracking With Cyclic Shifting Window Attention: Zikai Song,

Junqing Yu,

Yi-Ping Phoebe Chen,

Wei Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Song_2022_CVPR, author = {Song, Zikai and Yu, Junqing and Chen, Yi-Ping Phoebe and Yang, Wei}, title = {Transformer Tracking With Cyclic Shifting Window Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8791-8800} }
ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues: Hengcan Shi,

Munawar Hayat,

Yicheng Wu,

Jianfei Cai; [pdf] [arXiv]
[bibtex]
@InProceedings{Shi_2022_CVPR, author = {Shi, Hengcan and Hayat, Munawar and Wu, Yicheng and Cai, Jianfei}, title = {ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9611-9620} }
Towards Understanding Adversarial Robustness of Optical Flow Networks: Simon Schrodi,

Tonmoy Saikia,

Thomas Brox; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Schrodi_2022_CVPR, author = {Schrodi, Simon and Saikia, Tonmoy and Brox, Thomas}, title = {Towards Understanding Adversarial Robustness of Optical Flow Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8916-8924} }
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning: Dahyun Kim,

Jonghyun Choi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2022_CVPR, author = {Kim, Dahyun and Choi, Jonghyun}, title = {Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9747-9756} }
Investigating Tradeoffs in Real-World Video Super-Resolution: Kelvin C.K. Chan,

Shangchen Zhou,

Xiangyu Xu,

Chen Change Loy; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chan_2022_CVPR, author = {Chan, Kelvin C.K. and Zhou, Shangchen and Xu, Xiangyu and Loy, Chen Change}, title = {Investigating Tradeoffs in Real-World Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5962-5971} }
Differentiable Stereopsis: Meshes From Multiple Views Using Differentiable Rendering: Shubham Goel,

Georgia Gkioxari,

Jitendra Malik; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Goel_2022_CVPR, author = {Goel, Shubham and Gkioxari, Georgia and Malik, Jitendra}, title = {Differentiable Stereopsis: Meshes From Multiple Views Using Differentiable Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8635-8644} }
Global Tracking via Ensemble of Local Trackers: Zikun Zhou,

Jianqiu Chen,

Wenjie Pei,

Kaige Mao,

Hongpeng Wang,

Zhenyu He; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2022_CVPR, author = {Zhou, Zikun and Chen, Jianqiu and Pei, Wenjie and Mao, Kaige and Wang, Hongpeng and He, Zhenyu}, title = {Global Tracking via Ensemble of Local Trackers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8761-8770} }
MPC: Multi-View Probabilistic Clustering: Junjie Liu,

Junlong Liu,

Shaotian Yan,

Rongxin Jiang,

Xiang Tian,

Boxuan Gu,

Yaowu Chen,

Chen Shen,

Jianqiang Huang; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2022_CVPR, author = {Liu, Junjie and Liu, Junlong and Yan, Shaotian and Jiang, Rongxin and Tian, Xiang and Gu, Boxuan and Chen, Yaowu and Shen, Chen and Huang, Jianqiang}, title = {MPC: Multi-View Probabilistic Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9509-9518} }
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning: Shiming Chen,

Ziming Hong,

Guo-Sen Xie,

Wenhan Yang,

Qinmu Peng,

Kai Wang,

Jian Zhao,

Xinge You; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2022_CVPR, author = {Chen, Shiming and Hong, Ziming and Xie, Guo-Sen and Yang, Wenhan and Peng, Qinmu and Wang, Kai and Zhao, Jian and You, Xinge}, title = {MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7612-7621} }
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph: Luanyuan Dai,

Yizhang Liu,

Jiayi Ma,

Lifang Wei,

Taotao Lai,

Changcai Yang,

Riqing Chen; [pdf]
[bibtex]
@InProceedings{Dai_2022_CVPR, author = {Dai, Luanyuan and Liu, Yizhang and Ma, Jiayi and Wei, Lifang and Lai, Taotao and Yang, Changcai and Chen, Riqing}, title = {MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8973-8982} }
Sparse Fuse Dense: Towards High Quality 3D Detection With Depth Completion: Xiaopei Wu,

Liang Peng,

Honghui Yang,

Liang Xie,

Chenxi Huang,

Chengqi Deng,

Haifeng Liu,

Deng Cai; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2022_CVPR, author = {Wu, Xiaopei and Peng, Liang and Yang, Honghui and Xie, Liang and Huang, Chenxi and Deng, Chengqi and Liu, Haifeng and Cai, Deng}, title = {Sparse Fuse Dense: Towards High Quality 3D Detection With Depth Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5418-5427} }
PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction: Zeren Sun,

Fumin Shen,

Dan Huang,

Qiong Wang,

Xiangbo Shu,

Yazhou Yao,

Jinhui Tang; [pdf]
[bibtex]
@InProceedings{Sun_2022_CVPR, author = {Sun, Zeren and Shen, Fumin and Huang, Dan and Wang, Qiong and Shu, Xiangbo and Yao, Yazhou and Tang, Jinhui}, title = {PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5311-5320} }
Estimating Structural Disparities for Face Models: Shervin Ardeshir,

Cristina Segalin,

Nathan Kallus; [pdf] [arXiv]
[bibtex]
@InProceedings{Ardeshir_2022_CVPR, author = {Ardeshir, Shervin and Segalin, Cristina and Kallus, Nathan}, title = {Estimating Structural Disparities for Face Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10358-10367} }
Revisiting the Transferability of Supervised Pretraining: An MLP Perspective: Yizhou Wang,

Shixiang Tang,

Feng Zhu,

Lei Bai,

Rui Zhao,

Donglian Qi,

Wanli Ouyang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Yizhou and Tang, Shixiang and Zhu, Feng and Bai, Lei and Zhao, Rui and Qi, Donglian and Ouyang, Wanli}, title = {Revisiting the Transferability of Supervised Pretraining: An MLP Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9183-9193} }
Plenoxels: Radiance Fields Without Neural Networks: Sara Fridovich-Keil,

Alex Yu,

Matthew Tancik,

Qinhong Chen,

Benjamin Recht,

Angjoo Kanazawa; [pdf] [supp]
[bibtex]
@InProceedings{Fridovich-Keil_2022_CVPR, author = {Fridovich-Keil, Sara and Yu, Alex and Tancik, Matthew and Chen, Qinhong and Recht, Benjamin and Kanazawa, Angjoo}, title = {Plenoxels: Radiance Fields Without Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5501-5510} }
SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation: Xiaoqing Guo,

Jie Liu,

Tongliang Liu,

Yixuan Yuan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Guo_2022_CVPR, author = {Guo, Xiaoqing and Liu, Jie and Liu, Tongliang and Yuan, Yixuan}, title = {SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7032-7041} }
PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions: R. Kenny Jones,

Homer Walke,

Daniel Ritchie; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jones_2022_CVPR, author = {Jones, R. Kenny and Walke, Homer and Ritchie, Daniel}, title = {PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9871-9880} }
PTTR: Relational 3D Point Cloud Object Tracking With Transformer: Changqing Zhou,

Zhipeng Luo,

Yueru Luo,

Tianrui Liu,

Liang Pan,

Zhongang Cai,

Haiyu Zhao,

Shijian Lu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhou_2022_CVPR, author = {Zhou, Changqing and Luo, Zhipeng and Luo, Yueru and Liu, Tianrui and Pan, Liang and Cai, Zhongang and Zhao, Haiyu and Lu, Shijian}, title = {PTTR: Relational 3D Point Cloud Object Tracking With Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8531-8540} }
Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation: Jinchao Yang,

Fei Guo,

Shuo Chen,

Jun Li,

Jian Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Jinchao and Guo, Fei and Chen, Shuo and Li, Jun and Yang, Jian}, title = {Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7834-7843} }
Modeling Image Composition for Complex Scene Generation: Zuopeng Yang,

Daqing Liu,

Chaoyue Wang,

Jie Yang,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Zuopeng and Liu, Daqing and Wang, Chaoyue and Yang, Jie and Tao, Dacheng}, title = {Modeling Image Composition for Complex Scene Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7764-7773} }
SS3D: Sparsely-Supervised 3D Object Detection From Point Cloud: Chuandong Liu,

Chenqiang Gao,

Fangcen Liu,

Jiang Liu,

Deyu Meng,

Xinbo Gao; [pdf]
[bibtex]
@InProceedings{Liu_2022_CVPR, author = {Liu, Chuandong and Gao, Chenqiang and Liu, Fangcen and Liu, Jiang and Meng, Deyu and Gao, Xinbo}, title = {SS3D: Sparsely-Supervised 3D Object Detection From Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8428-8437} }
Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer: Wenjian Wang,

Lijuan Duan,

Yuxi Wang,

Qing En,

Junsong Fan,

Zhaoxiang Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Wenjian and Duan, Lijuan and Wang, Yuxi and En, Qing and Fan, Junsong and Zhang, Zhaoxiang}, title = {Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7065-7074} }
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions: Van Nguyen Nguyen,

Yinlin Hu,

Yang Xiao,

Mathieu Salzmann,

Vincent Lepetit; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nguyen_2022_CVPR, author = {Nguyen, Van Nguyen and Hu, Yinlin and Xiao, Yang and Salzmann, Mathieu and Lepetit, Vincent}, title = {Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6771-6780} }
Non-Isotropy Regularization for Proxy-Based Deep Metric Learning: Karsten Roth,

Oriol Vinyals,

Zeynep Akata; [pdf] [arXiv]
[bibtex]
@InProceedings{Roth_2022_CVPR, author = {Roth, Karsten and Vinyals, Oriol and Akata, Zeynep}, title = {Non-Isotropy Regularization for Proxy-Based Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7420-7430} }
Learning a Structured Latent Space for Unsupervised Point Cloud Completion: Yingjie Cai,

Kwan-Yee Lin,

Chao Zhang,

Qiang Wang,

Xiaogang Wang,

Hongsheng Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Cai_2022_CVPR, author = {Cai, Yingjie and Lin, Kwan-Yee and Zhang, Chao and Wang, Qiang and Wang, Xiaogang and Li, Hongsheng}, title = {Learning a Structured Latent Space for Unsupervised Point Cloud Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {5543-5553} }
Few-Shot Learning With Noisy Labels: Kevin J. Liang,

Samrudhdhi B. Rangrej,

Vladan Petrovic,

Tal Hassner; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liang_2022_CVPR, author = {Liang, Kevin J. and Rangrej, Samrudhdhi B. and Petrovic, Vladan and Hassner, Tal}, title = {Few-Shot Learning With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9089-9098} }
Interactive Image Synthesis With Panoptic Layout Generation: Bo Wang,

Tao Wu,

Minfeng Zhu,

Peng Du; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Bo and Wu, Tao and Zhu, Minfeng and Du, Peng}, title = {Interactive Image Synthesis With Panoptic Layout Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7783-7792} }
PlanarRecon: Real-Time 3D Plane Detection and Reconstruction From Posed Monocular Videos: Yiming Xie,

Matheus Gadelha,

Fengting Yang,

Xiaowei Zhou,

Huaizu Jiang; [pdf] [supp]
[bibtex]
@InProceedings{Xie_2022_CVPR, author = {Xie, Yiming and Gadelha, Matheus and Yang, Fengting and Zhou, Xiaowei and Jiang, Huaizu}, title = {PlanarRecon: Real-Time 3D Plane Detection and Reconstruction From Posed Monocular Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6219-6228} }
Motron: Multimodal Probabilistic Human Motion Forecasting: Tim Salzmann,

Marco Pavone,

Markus Ryll; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Salzmann_2022_CVPR, author = {Salzmann, Tim and Pavone, Marco and Ryll, Markus}, title = {Motron: Multimodal Probabilistic Human Motion Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {6457-6466} }
Cycle-Consistent Counterfactuals by Latent Transformations: Saeed Khorram,

Li Fuxin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Khorram_2022_CVPR, author = {Khorram, Saeed and Fuxin, Li}, title = {Cycle-Consistent Counterfactuals by Latent Transformations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10203-10212} }
ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation: Hanxiang Ren,

Yanchao Yang,

He Wang,

Bokui Shen,

Qingnan Fan,

Youyi Zheng,

C. Karen Liu,

Leonidas J. Guibas; [pdf] [supp]
[bibtex]
@InProceedings{Ren_2022_CVPR, author = {Ren, Hanxiang and Yang, Yanchao and Wang, He and Shen, Bokui and Fan, Qingnan and Zheng, Youyi and Liu, C. Karen and Guibas, Leonidas J.}, title = {ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8079-8089} }
Blind Face Restoration via Integrating Face Shape and Generative Priors: Feida Zhu,

Junwei Zhu,

Wenqing Chu,

Xinyi Zhang,

Xiaozhong Ji,

Chengjie Wang,

Ying Tai; [pdf] [supp]
[bibtex]
@InProceedings{Zhu_2022_CVPR, author = {Zhu, Feida and Zhu, Junwei and Chu, Wenqing and Zhang, Xinyi and Ji, Xiaozhong and Wang, Chengjie and Tai, Ying}, title = {Blind Face Restoration via Integrating Face Shape and Generative Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7662-7671} }
RCP: Recurrent Closest Point for Point Cloud: Xiaodong Gu,

Chengzhou Tang,

Weihao Yuan,

Zuozhuo Dai,

Siyu Zhu,

Ping Tan; [pdf]
[bibtex]
@InProceedings{Gu_2022_CVPR, author = {Gu, Xiaodong and Tang, Chengzhou and Yuan, Weihao and Dai, Zuozhuo and Zhu, Siyu and Tan, Ping}, title = {RCP: Recurrent Closest Point for Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {8216-8226} }
A Dual Weighting Label Assignment Scheme for Object Detection: Shuai Li,

Chenhang He,

Ruihuang Li,

Lei Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Shuai and He, Chenhang and Li, Ruihuang and Zhang, Lei}, title = {A Dual Weighting Label Assignment Scheme for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9387-9396} }
FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks: Yuxi Wu,

Changhuai Chen,

Jun Che,

Shiliang Pu; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2022_CVPR, author = {Wu, Yuxi and Chen, Changhuai and Che, Jun and Pu, Shiliang}, title = {FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10307-10316} }
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning: Aleksandr Ermolov,

Leyla Mirvakhabova,

Valentin Khrulkov,

Nicu Sebe,

Ivan Oseledets; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ermolov_2022_CVPR, author = {Ermolov, Aleksandr and Mirvakhabova, Leyla and Khrulkov, Valentin and Sebe, Nicu and Oseledets, Ivan}, title = {Hyperbolic Vision Transformers: Combining Improvements in Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7409-7419} }
Attributable Visual Similarity Learning: Borui Zhang,

Wenzhao Zheng,

Jie Zhou,

Jiwen Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Borui and Zheng, Wenzhao and Zhou, Jie and Lu, Jiwen}, title = {Attributable Visual Similarity Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7532-7541} }
DyTox: Transformers for Continual Learning With DYnamic TOken eXpansion: Arthur Douillard,

Alexandre Ramé,

Guillaume Couairon,

Matthieu Cord; [pdf] [supp]
[bibtex]
@InProceedings{Douillard_2022_CVPR, author = {Douillard, Arthur and Ram\'e, Alexandre and Couairon, Guillaume and Cord, Matthieu}, title = {DyTox: Transformers for Continual Learning With DYnamic TOken eXpansion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9285-9295} }
Semantic-Aligned Fusion Transformer for One-Shot Object Detection: Yizhou Zhao,

Xun Guo,

Yan Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2022_CVPR, author = {Zhao, Yizhou and Guo, Xun and Lu, Yan}, title = {Semantic-Aligned Fusion Transformer for One-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {7601-7611} }
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning: Matthew Gwilliam,

Abhinav Shrivastava; [pdf] [supp]
[bibtex]
@InProceedings{Gwilliam_2022_CVPR, author = {Gwilliam, Matthew and Shrivastava, Abhinav}, title = {Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {9642-9652} }
Discrete Time Convolution for Fast Event-Based Stereo: Kaixuan Zhang,

Kaiwei Che,

Jianguo Zhang,

Jie Cheng,