CVPR 2021 Open Access Repository

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Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo: Seung-Hwan Baek,

Felix Heide; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Baek_2021_CVPR, author = {Baek, Seung-Hwan and Heide, Felix}, title = {Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5757-5767} }
Image Inpainting With External-Internal Learning and Monochromic Bottleneck: Tengfei Wang,

Hao Ouyang,

Qifeng Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Tengfei and Ouyang, Hao and Chen, Qifeng}, title = {Image Inpainting With External-Internal Learning and Monochromic Bottleneck}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5120-5129} }
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences: Qunjie Zhou,

Torsten Sattler,

Laura Leal-Taixe; [pdf] [supp]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Qunjie and Sattler, Torsten and Leal-Taixe, Laura}, title = {Patch2Pix: Epipolar-Guided Pixel-Level Correspondences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4669-4678} }
Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer: Yulin Li,

Jianfeng He,

Tianzhu Zhang,

Xiang Liu,

Yongdong Zhang,

Feng Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Yulin and He, Jianfeng and Zhang, Tianzhu and Liu, Xiang and Zhang, Yongdong and Wu, Feng}, title = {Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2898-2907} }
Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection: Zhenyu Wang,

Yali Li,

Ye Guo,

Lu Fang,

Shengjin Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Zhenyu and Li, Yali and Guo, Ye and Fang, Lu and Wang, Shengjin}, title = {Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4568-4577} }
Prototype-Guided Saliency Feature Learning for Person Search: Hanjae Kim,

Sunghun Joung,

Ig-Jae Kim,

Kwanghoon Sohn; [pdf]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Hanjae and Joung, Sunghun and Kim, Ig-Jae and Sohn, Kwanghoon}, title = {Prototype-Guided Saliency Feature Learning for Person Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4865-4874} }
UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training: Mingyang Zhou,

Luowei Zhou,

Shuohang Wang,

Yu Cheng,

Linjie Li,

Zhou Yu,

Jingjing Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Mingyang and Zhou, Luowei and Wang, Shuohang and Cheng, Yu and Li, Linjie and Yu, Zhou and Liu, Jingjing}, title = {UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4155-4165} }
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction: Yinyu Nie,

Ji Hou,

Xiaoguang Han,

Matthias Niessner; [pdf] [supp]
[bibtex]
@InProceedings{Nie_2021_CVPR, author = {Nie, Yinyu and Hou, Ji and Han, Xiaoguang and Niessner, Matthias}, title = {RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4608-4618} }
DriveGAN: Towards a Controllable High-Quality Neural Simulation: Seung Wook Kim,

Jonah Philion,

Antonio Torralba,

Sanja Fidler; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Seung Wook and Philion, Jonah and Torralba, Antonio and Fidler, Sanja}, title = {DriveGAN: Towards a Controllable High-Quality Neural Simulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5820-5829} }
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization: Chuming Lin,

Chengming Xu,

Donghao Luo,

Yabiao Wang,

Ying Tai,

Chengjie Wang,

Jilin Li,

Feiyue Huang,

Yanwei Fu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Chuming and Xu, Chengming and Luo, Donghao and Wang, Yabiao and Tai, Ying and Wang, Chengjie and Li, Jilin and Huang, Feiyue and Fu, Yanwei}, title = {Learning Salient Boundary Feature for Anchor-free Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3320-3329} }
Learnable Motion Coherence for Correspondence Pruning: Yuan Liu,

Lingjie Liu,

Cheng Lin,

Zhen Dong,

Wenping Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yuan and Liu, Lingjie and Lin, Cheng and Dong, Zhen and Wang, Wenping}, title = {Learnable Motion Coherence for Correspondence Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3237-3246} }
ManipulaTHOR: A Framework for Visual Object Manipulation: Kiana Ehsani,

Winson Han,

Alvaro Herrasti,

Eli VanderBilt,

Luca Weihs,

Eric Kolve,

Aniruddha Kembhavi,

Roozbeh Mottaghi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ehsani_2021_CVPR, author = {Ehsani, Kiana and Han, Winson and Herrasti, Alvaro and VanderBilt, Eli and Weihs, Luca and Kolve, Eric and Kembhavi, Aniruddha and Mottaghi, Roozbeh}, title = {ManipulaTHOR: A Framework for Visual Object Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4497-4506} }
Scene-Intuitive Agent for Remote Embodied Visual Grounding: Xiangru Lin,

Guanbin Li,

Yizhou Yu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Xiangru and Li, Guanbin and Yu, Yizhou}, title = {Scene-Intuitive Agent for Remote Embodied Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7036-7045} }
4D Panoptic LiDAR Segmentation: Mehmet Aygun,

Aljosa Osep,

Mark Weber,

Maxim Maximov,

Cyrill Stachniss,

Jens Behley,

Laura Leal-Taixe; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Aygun_2021_CVPR, author = {Aygun, Mehmet and Osep, Aljosa and Weber, Mark and Maximov, Maxim and Stachniss, Cyrill and Behley, Jens and Leal-Taixe, Laura}, title = {4D Panoptic LiDAR Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5527-5537} }
Offboard 3D Object Detection From Point Cloud Sequences: Charles R. Qi,

Yin Zhou,

Mahyar Najibi,

Pei Sun,

Khoa Vo,

Boyang Deng,

Dragomir Anguelov; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qi_2021_CVPR, author = {Qi, Charles R. and Zhou, Yin and Najibi, Mahyar and Sun, Pei and Vo, Khoa and Deng, Boyang and Anguelov, Dragomir}, title = {Offboard 3D Object Detection From Point Cloud Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6134-6144} }
AdaBins: Depth Estimation Using Adaptive Bins: Shariq Farooq Bhat,

Ibraheem Alhashim,

Peter Wonka; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bhat_2021_CVPR, author = {Bhat, Shariq Farooq and Alhashim, Ibraheem and Wonka, Peter}, title = {AdaBins: Depth Estimation Using Adaptive Bins}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4009-4018} }
Delving into Data: Effectively Substitute Training for Black-box Attack: Wenxuan Wang,

Bangjie Yin,

Taiping Yao,

Li Zhang,

Yanwei Fu,

Shouhong Ding,

Jilin Li,

Feiyue Huang,

Xiangyang Xue; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Wenxuan and Yin, Bangjie and Yao, Taiping and Zhang, Li and Fu, Yanwei and Ding, Shouhong and Li, Jilin and Huang, Feiyue and Xue, Xiangyang}, title = {Delving into Data: Effectively Substitute Training for Black-box Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4761-4770} }
CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds: Yiming Zeng,

Yue Qian,

Zhiyu Zhu,

Junhui Hou,

Hui Yuan,

Ying He; [pdf] [arXiv]
[bibtex]
@InProceedings{Zeng_2021_CVPR, author = {Zeng, Yiming and Qian, Yue and Zhu, Zhiyu and Hou, Junhui and Yuan, Hui and He, Ying}, title = {CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6052-6061} }
Learning To Count Everything: Viresh Ranjan,

Udbhav Sharma,

Thu Nguyen,

Minh Hoai; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ranjan_2021_CVPR, author = {Ranjan, Viresh and Sharma, Udbhav and Nguyen, Thu and Hoai, Minh}, title = {Learning To Count Everything}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3394-3403} }
SSN: Soft Shadow Network for Image Compositing: Yichen Sheng,

Jianming Zhang,

Bedrich Benes; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sheng_2021_CVPR, author = {Sheng, Yichen and Zhang, Jianming and Benes, Bedrich}, title = {SSN: Soft Shadow Network for Image Compositing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4380-4390} }
VinVL: Revisiting Visual Representations in Vision-Language Models: Pengchuan Zhang,

Xiujun Li,

Xiaowei Hu,

Jianwei Yang,

Lei Zhang,

Lijuan Wang,

Yejin Choi,

Jianfeng Gao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Pengchuan and Li, Xiujun and Hu, Xiaowei and Yang, Jianwei and Zhang, Lei and Wang, Lijuan and Choi, Yejin and Gao, Jianfeng}, title = {VinVL: Revisiting Visual Representations in Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5579-5588} }
CondenseNet V2: Sparse Feature Reactivation for Deep Networks: Le Yang,

Haojun Jiang,

Ruojin Cai,

Yulin Wang,

Shiji Song,

Gao Huang,

Qi Tian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Le and Jiang, Haojun and Cai, Ruojin and Wang, Yulin and Song, Shiji and Huang, Gao and Tian, Qi}, title = {CondenseNet V2: Sparse Feature Reactivation for Deep Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3569-3578} }
Information Bottleneck Disentanglement for Identity Swapping: Gege Gao,

Huaibo Huang,

Chaoyou Fu,

Zhaoyang Li,

Ran He; [pdf] [supp]
[bibtex]
@InProceedings{Gao_2021_CVPR, author = {Gao, Gege and Huang, Huaibo and Fu, Chaoyou and Li, Zhaoyang and He, Ran}, title = {Information Bottleneck Disentanglement for Identity Swapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3404-3413} }
Generating Manga From Illustrations via Mimicking Manga Creation Workflow: Lvmin Zhang,

Xinrui Wang,

Qingnan Fan,

Yi Ji,

Chunping Liu; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Lvmin and Wang, Xinrui and Fan, Qingnan and Ji, Yi and Liu, Chunping}, title = {Generating Manga From Illustrations via Mimicking Manga Creation Workflow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5642-5651} }
From Points to Multi-Object 3D Reconstruction: Francis Engelmann,

Konstantinos Rematas,

Bastian Leibe,

Vittorio Ferrari; [pdf] [arXiv]
[bibtex]
@InProceedings{Engelmann_2021_CVPR, author = {Engelmann, Francis and Rematas, Konstantinos and Leibe, Bastian and Ferrari, Vittorio}, title = {From Points to Multi-Object 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4588-4597} }
Regressive Domain Adaptation for Unsupervised Keypoint Detection: Junguang Jiang,

Yifei Ji,

Ximei Wang,

Yufeng Liu,

Jianmin Wang,

Mingsheng Long; [pdf] [arXiv]
[bibtex]
@InProceedings{Jiang_2021_CVPR, author = {Jiang, Junguang and Ji, Yifei and Wang, Ximei and Liu, Yufeng and Wang, Jianmin and Long, Mingsheng}, title = {Regressive Domain Adaptation for Unsupervised Keypoint Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6780-6789} }
Monocular Reconstruction of Neural Face Reflectance Fields: Mallikarjun B R,

Ayush Tewari,

Tae-Hyun Oh,

Tim Weyrich,

Bernd Bickel,

Hans-Peter Seidel,

Hanspeter Pfister,

Wojciech Matusik,

Mohamed Elgharib,

Christian Theobalt; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{R_2021_CVPR, author = {R, Mallikarjun B and Tewari, Ayush and Oh, Tae-Hyun and Weyrich, Tim and Bickel, Bernd and Seidel, Hans-Peter and Pfister, Hanspeter and Matusik, Wojciech and Elgharib, Mohamed and Theobalt, Christian}, title = {Monocular Reconstruction of Neural Face Reflectance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4791-4800} }
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning: Chaofan Chen,

Xiaoshan Yang,

Changsheng Xu,

Xuhui Huang,

Zhe Ma; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Chaofan and Yang, Xiaoshan and Xu, Changsheng and Huang, Xuhui and Ma, Zhe}, title = {ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6596-6605} }
Can Audio-Visual Integration Strengthen Robustness Under Multimodal Attacks?: Yapeng Tian,

Chenliang Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tian_2021_CVPR, author = {Tian, Yapeng and Xu, Chenliang}, title = {Can Audio-Visual Integration Strengthen Robustness Under Multimodal Attacks?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5601-5611} }
ReNAS: Relativistic Evaluation of Neural Architecture Search: Yixing Xu,

Yunhe Wang,

Kai Han,

Yehui Tang,

Shangling Jui,

Chunjing Xu,

Chang Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Yixing and Wang, Yunhe and Han, Kai and Tang, Yehui and Jui, Shangling and Xu, Chunjing and Xu, Chang}, title = {ReNAS: Relativistic Evaluation of Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4411-4420} }
Adaptive Rank Estimate in Robust Principal Component Analysis: Zhengqin Xu,

Rui He,

Shoulie Xie,

Shiqian Wu; [pdf] [supp]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Zhengqin and He, Rui and Xie, Shoulie and Wu, Shiqian}, title = {Adaptive Rank Estimate in Robust Principal Component Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6577-6586} }
Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning: Riccardo Volpi,

Diane Larlus,

Gregory Rogez; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Volpi_2021_CVPR, author = {Volpi, Riccardo and Larlus, Diane and Rogez, Gregory}, title = {Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4443-4453} }
Generative Classifiers as a Basis for Trustworthy Image Classification: Radek Mackowiak,

Lynton Ardizzone,

Ullrich Kothe,

Carsten Rother; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mackowiak_2021_CVPR, author = {Mackowiak, Radek and Ardizzone, Lynton and Kothe, Ullrich and Rother, Carsten}, title = {Generative Classifiers as a Basis for Trustworthy Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2971-2981} }
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation: Yang Jiao,

Trac D. Tran,

Guangming Shi; [pdf] [arXiv]
[bibtex]
@InProceedings{Jiao_2021_CVPR, author = {Jiao, Yang and Tran, Trac D. and Shi, Guangming}, title = {EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5538-5547} }
Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis: Arghya Pal,

Raphael C.-W. Phan,

KokSheik Wong; [pdf] [supp]
[bibtex]
@InProceedings{Pal_2021_CVPR, author = {Pal, Arghya and Phan, Raphael C.-W. and Wong, KokSheik}, title = {Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5161-5170} }
Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation: Seungho Lee,

Minhyun Lee,

Jongwuk Lee,

Hyunjung Shim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Seungho and Lee, Minhyun and Lee, Jongwuk and Shim, Hyunjung}, title = {Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5495-5505} }
Task Programming: Learning Data Efficient Behavior Representations: Jennifer J. Sun,

Ann Kennedy,

Eric Zhan,

David J. Anderson,

Yisong Yue,

Pietro Perona; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Jennifer J. and Kennedy, Ann and Zhan, Eric and Anderson, David J. and Yue, Yisong and Perona, Pietro}, title = {Task Programming: Learning Data Efficient Behavior Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2876-2885} }
Self-Supervised Pillar Motion Learning for Autonomous Driving: Chenxu Luo,

Xiaodong Yang,

Alan Yuille; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Chenxu and Yang, Xiaodong and Yuille, Alan}, title = {Self-Supervised Pillar Motion Learning for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3183-3192} }
QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval: Xiaodan Li,

Jinfeng Li,

Yuefeng Chen,

Shaokai Ye,

Yuan He,

Shuhui Wang,

Hang Su,

Hui Xue; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Xiaodan and Li, Jinfeng and Chen, Yuefeng and Ye, Shaokai and He, Yuan and Wang, Shuhui and Su, Hang and Xue, Hui}, title = {QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3330-3339} }
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search: Yawen Duan,

Xin Chen,

Hang Xu,

Zewei Chen,

Xiaodan Liang,

Tong Zhang,

Zhenguo Li; [pdf] [supp]
[bibtex]
@InProceedings{Duan_2021_CVPR, author = {Duan, Yawen and Chen, Xin and Xu, Hang and Chen, Zewei and Liang, Xiaodan and Zhang, Tong and Li, Zhenguo}, title = {TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5251-5260} }
M3DSSD: Monocular 3D Single Stage Object Detector: Shujie Luo,

Hang Dai,

Ling Shao,

Yong Ding; [pdf] [arXiv]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Shujie and Dai, Hang and Shao, Ling and Ding, Yong}, title = {M3DSSD: Monocular 3D Single Stage Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6145-6154} }
Objects Are Different: Flexible Monocular 3D Object Detection: Yunpeng Zhang,

Jiwen Lu,

Jie Zhou; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yunpeng and Lu, Jiwen and Zhou, Jie}, title = {Objects Are Different: Flexible Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3289-3298} }
Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis: Yi Liu,

Xiaoyang Huo,

Tianyi Chen,

Xiangping Zeng,

Si Wu,

Zhiwen Yu,

Hau-San Wong; [pdf]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yi and Huo, Xiaoyang and Chen, Tianyi and Zeng, Xiangping and Wu, Si and Yu, Zhiwen and Wong, Hau-San}, title = {Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5506-5515} }
ANR: Articulated Neural Rendering for Virtual Avatars: Amit Raj,

Julian Tanke,

James Hays,

Minh Vo,

Carsten Stoll,

Christoph Lassner; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Raj_2021_CVPR, author = {Raj, Amit and Tanke, Julian and Hays, James and Vo, Minh and Stoll, Carsten and Lassner, Christoph}, title = {ANR: Articulated Neural Rendering for Virtual Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3722-3731} }
Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition: Jiahui She,

Yibo Hu,

Hailin Shi,

Jun Wang,

Qiu Shen,

Tao Mei; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{She_2021_CVPR, author = {She, Jiahui and Hu, Yibo and Shi, Hailin and Wang, Jun and Shen, Qiu and Mei, Tao}, title = {Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6248-6257} }
Learning Complete 3D Morphable Face Models From Images and Videos: Mallikarjun B R,

Ayush Tewari,

Hans-Peter Seidel,

Mohamed Elgharib,

Christian Theobalt; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{R_2021_CVPR, author = {R, Mallikarjun B and Tewari, Ayush and Seidel, Hans-Peter and Elgharib, Mohamed and Theobalt, Christian}, title = {Learning Complete 3D Morphable Face Models From Images and Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3361-3371} }
SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object Detection: Weichen Zhang,

Wen Li,

Dong Xu; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Weichen and Li, Wen and Xu, Dong}, title = {SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6769-6779} }
Learning Student Networks in the Wild: Hanting Chen,

Tianyu Guo,

Chang Xu,

Wenshuo Li,

Chunjing Xu,

Chao Xu,

Yunhe Wang; [pdf]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Hanting and Guo, Tianyu and Xu, Chang and Li, Wenshuo and Xu, Chunjing and Xu, Chao and Wang, Yunhe}, title = {Learning Student Networks in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6428-6437} }
Distilling Knowledge via Knowledge Review: Pengguang Chen,

Shu Liu,

Hengshuang Zhao,

Jiaya Jia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Pengguang and Liu, Shu and Zhao, Hengshuang and Jia, Jiaya}, title = {Distilling Knowledge via Knowledge Review}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5008-5017} }
Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection: Alexandros Haliassos,

Konstantinos Vougioukas,

Stavros Petridis,

Maja Pantic; [pdf] [supp]
[bibtex]
@InProceedings{Haliassos_2021_CVPR, author = {Haliassos, Alexandros and Vougioukas, Konstantinos and Petridis, Stavros and Pantic, Maja}, title = {Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5039-5049} }
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy: Federico Paredes-Valles,

Guido C. H. E. de Croon; [pdf] [supp]
[bibtex]
@InProceedings{Paredes-Valles_2021_CVPR, author = {Paredes-Valles, Federico and de Croon, Guido C. H. E.}, title = {Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3446-3455} }
Learning To Filter: Siamese Relation Network for Robust Tracking: Siyuan Cheng,

Bineng Zhong,

Guorong Li,

Xin Liu,

Zhenjun Tang,

Xianxian Li,

Jing Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Cheng_2021_CVPR, author = {Cheng, Siyuan and Zhong, Bineng and Li, Guorong and Liu, Xin and Tang, Zhenjun and Li, Xianxian and Wang, Jing}, title = {Learning To Filter: Siamese Relation Network for Robust Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4421-4431} }
Cascaded Prediction Network via Segment Tree for Temporal Video Grounding: Yang Zhao,

Zhou Zhao,

Zhu Zhang,

Zhijie Lin; [pdf] [supp]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yang and Zhao, Zhou and Zhang, Zhu and Lin, Zhijie}, title = {Cascaded Prediction Network via Segment Tree for Temporal Video Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4197-4206} }
Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis: Xianchao Zhang,

Ziyang Cheng,

Xiaotong Zhang,

Han Liu; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xianchao and Cheng, Ziyang and Zhang, Xiaotong and Liu, Han}, title = {Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6519-6528} }
Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning: Chengming Xu,

Yanwei Fu,

Chen Liu,

Chengjie Wang,

Jilin Li,

Feiyue Huang,

Li Zhang,

Xiangyang Xue; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Chengming and Fu, Yanwei and Liu, Chen and Wang, Chengjie and Li, Jilin and Huang, Feiyue and Zhang, Li and Xue, Xiangyang}, title = {Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5182-5191} }
Unsupervised Learning of 3D Object Categories From Videos in the Wild: Philipp Henzler,

Jeremy Reizenstein,

Patrick Labatut,

Roman Shapovalov,

Tobias Ritschel,

Andrea Vedaldi,

David Novotny; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Henzler_2021_CVPR, author = {Henzler, Philipp and Reizenstein, Jeremy and Labatut, Patrick and Shapovalov, Roman and Ritschel, Tobias and Vedaldi, Andrea and Novotny, David}, title = {Unsupervised Learning of 3D Object Categories From Videos in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4700-4709} }
Dogfight: Detecting Drones From Drones Videos: Muhammad Waseem Ashraf,

Waqas Sultani,

Mubarak Shah; [pdf] [arXiv]
[bibtex]
@InProceedings{Ashraf_2021_CVPR, author = {Ashraf, Muhammad Waseem and Sultani, Waqas and Shah, Mubarak}, title = {Dogfight: Detecting Drones From Drones Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7067-7076} }
Monocular Real-Time Full Body Capture With Inter-Part Correlations: Yuxiao Zhou,

Marc Habermann,

Ikhsanul Habibie,

Ayush Tewari,

Christian Theobalt,

Feng Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Yuxiao and Habermann, Marc and Habibie, Ikhsanul and Tewari, Ayush and Theobalt, Christian and Xu, Feng}, title = {Monocular Real-Time Full Body Capture With Inter-Part Correlations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4811-4822} }
Adaptive Weighted Discriminator for Training Generative Adversarial Networks: Vasily Zadorozhnyy,

Qiang Cheng,

Qiang Ye; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zadorozhnyy_2021_CVPR, author = {Zadorozhnyy, Vasily and Cheng, Qiang and Ye, Qiang}, title = {Adaptive Weighted Discriminator for Training Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4781-4790} }
Transformation Driven Visual Reasoning: Xin Hong,

Yanyan Lan,

Liang Pang,

Jiafeng Guo,

Xueqi Cheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hong_2021_CVPR, author = {Hong, Xin and Lan, Yanyan and Pang, Liang and Guo, Jiafeng and Cheng, Xueqi}, title = {Transformation Driven Visual Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6903-6912} }
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges: Qingyong Hu,

Bo Yang,

Sheikh Khalid,

Wen Xiao,

Niki Trigoni,

Andrew Markham; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Qingyong and Yang, Bo and Khalid, Sheikh and Xiao, Wen and Trigoni, Niki and Markham, Andrew}, title = {Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4977-4987} }
Towards Open World Object Detection: K J Joseph,

Salman Khan,

Fahad Shahbaz Khan,

Vineeth N Balasubramanian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Joseph_2021_CVPR, author = {Joseph, K J and Khan, Salman and Khan, Fahad Shahbaz and Balasubramanian, Vineeth N}, title = {Towards Open World Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5830-5840} }
Repurposing GANs for One-Shot Semantic Part Segmentation: Nontawat Tritrong,

Pitchaporn Rewatbowornwong,

Supasorn Suwajanakorn; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tritrong_2021_CVPR, author = {Tritrong, Nontawat and Rewatbowornwong, Pitchaporn and Suwajanakorn, Supasorn}, title = {Repurposing GANs for One-Shot Semantic Part Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4475-4485} }
T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval: Xiaohan Wang,

Linchao Zhu,

Yi Yang; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Xiaohan and Zhu, Linchao and Yang, Yi}, title = {T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5079-5088} }
Embedding Transfer With Label Relaxation for Improved Metric Learning: Sungyeon Kim,

Dongwon Kim,

Minsu Cho,

Suha Kwak; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Sungyeon and Kim, Dongwon and Cho, Minsu and Kwak, Suha}, title = {Embedding Transfer With Label Relaxation for Improved Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3967-3976} }
Cloud2Curve: Generation and Vectorization of Parametric Sketches: Ayan Das,

Yongxin Yang,

Timothy M. Hospedales,

Tao Xiang,

Yi-Zhe Song; [pdf] [arXiv]
[bibtex]
@InProceedings{Das_2021_CVPR, author = {Das, Ayan and Yang, Yongxin and Hospedales, Timothy M. and Xiang, Tao and Song, Yi-Zhe}, title = {Cloud2Curve: Generation and Vectorization of Parametric Sketches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7088-7097} }
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective: Nontawat Charoenphakdee,

Jayakorn Vongkulbhisal,

Nuttapong Chairatanakul,

Masashi Sugiyama; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Charoenphakdee_2021_CVPR, author = {Charoenphakdee, Nontawat and Vongkulbhisal, Jayakorn and Chairatanakul, Nuttapong and Sugiyama, Masashi}, title = {On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5202-5211} }
VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation: Siyuan Qiao,

Yukun Zhu,

Hartwig Adam,

Alan Yuille,

Liang-Chieh Chen; [pdf] [supp]
[bibtex]
@InProceedings{Qiao_2021_CVPR, author = {Qiao, Siyuan and Zhu, Yukun and Adam, Hartwig and Yuille, Alan and Chen, Liang-Chieh}, title = {VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3997-4008} }
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation: Golnaz Ghiasi,

Yin Cui,

Aravind Srinivas,

Rui Qian,

Tsung-Yi Lin,

Ekin D. Cubuk,

Quoc V. Le,

Barret Zoph; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ghiasi_2021_CVPR, author = {Ghiasi, Golnaz and Cui, Yin and Srinivas, Aravind and Qian, Rui and Lin, Tsung-Yi and Cubuk, Ekin D. and Le, Quoc V. and Zoph, Barret}, title = {Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2918-2928} }
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators: Yunyang Xiong,

Hanxiao Liu,

Suyog Gupta,

Berkin Akin,

Gabriel Bender,

Yongzhe Wang,

Pieter-Jan Kindermans,

Mingxing Tan,

Vikas Singh,

Bo Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xiong_2021_CVPR, author = {Xiong, Yunyang and Liu, Hanxiao and Gupta, Suyog and Akin, Berkin and Bender, Gabriel and Wang, Yongzhe and Kindermans, Pieter-Jan and Tan, Mingxing and Singh, Vikas and Chen, Bo}, title = {MobileDets: Searching for Object Detection Architectures for Mobile Accelerators}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3825-3834} }
Open World Compositional Zero-Shot Learning: Massimiliano Mancini,

Muhammad Ferjad Naeem,

Yongqin Xian,

Zeynep Akata; [pdf] [supp]
[bibtex]
@InProceedings{Mancini_2021_CVPR, author = {Mancini, Massimiliano and Naeem, Muhammad Ferjad and Xian, Yongqin and Akata, Zeynep}, title = {Open World Compositional Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5222-5230} }
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond: Kelvin C.K. Chan,

Xintao Wang,

Ke Yu,

Chao Dong,

Chen Change Loy; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chan_2021_CVPR, author = {Chan, Kelvin C.K. and Wang, Xintao and Yu, Ke and Dong, Chao and Loy, Chen Change}, title = {BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4947-4956} }
Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion: Matteo Maggioni,

Yibin Huang,

Cheng Li,

Shuai Xiao,

Zhongqian Fu,

Fenglong Song; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Maggioni_2021_CVPR, author = {Maggioni, Matteo and Huang, Yibin and Li, Cheng and Xiao, Shuai and Fu, Zhongqian and Song, Fenglong}, title = {Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3466-3475} }
3D-to-2D Distillation for Indoor Scene Parsing: Zhengzhe Liu,

Xiaojuan Qi,

Chi-Wing Fu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Zhengzhe and Qi, Xiaojuan and Fu, Chi-Wing}, title = {3D-to-2D Distillation for Indoor Scene Parsing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4464-4474} }
Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification: Xiao Zhang,

Yixiao Ge,

Yu Qiao,

Hongsheng Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xiao and Ge, Yixiao and Qiao, Yu and Li, Hongsheng}, title = {Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3436-3445} }
Learning by Aligning Videos in Time: Sanjay Haresh,

Sateesh Kumar,

Huseyin Coskun,

Shahram N. Syed,

Andrey Konin,

Zeeshan Zia,

Quoc-Huy Tran; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Haresh_2021_CVPR, author = {Haresh, Sanjay and Kumar, Sateesh and Coskun, Huseyin and Syed, Shahram N. and Konin, Andrey and Zia, Zeeshan and Tran, Quoc-Huy}, title = {Learning by Aligning Videos in Time}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5548-5558} }
Implicit Feature Alignment: Learn To Convert Text Recognizer to Text Spotter: Tianwei Wang,

Yuanzhi Zhu,

Lianwen Jin,

Dezhi Peng,

Zhe Li,

Mengchao He,

Yongpan Wang,

Canjie Luo; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Tianwei and Zhu, Yuanzhi and Jin, Lianwen and Peng, Dezhi and Li, Zhe and He, Mengchao and Wang, Yongpan and Luo, Canjie}, title = {Implicit Feature Alignment: Learn To Convert Text Recognizer to Text Spotter}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5973-5982} }
Large-Scale Localization Datasets in Crowded Indoor Spaces: Donghwan Lee,

Soohyun Ryu,

Suyong Yeon,

Yonghan Lee,

Deokhwa Kim,

Cheolho Han,

Yohann Cabon,

Philippe Weinzaepfel,

Nicolas Guerin,

Gabriela Csurka,

Martin Humenberger; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Donghwan and Ryu, Soohyun and Yeon, Suyong and Lee, Yonghan and Kim, Deokhwa and Han, Cheolho and Cabon, Yohann and Weinzaepfel, Philippe and Guerin, Nicolas and Csurka, Gabriela and Humenberger, Martin}, title = {Large-Scale Localization Datasets in Crowded Indoor Spaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3227-3236} }
Distilling Causal Effect of Data in Class-Incremental Learning: Xinting Hu,

Kaihua Tang,

Chunyan Miao,

Xian-Sheng Hua,

Hanwang Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Xinting and Tang, Kaihua and Miao, Chunyan and Hua, Xian-Sheng and Zhang, Hanwang}, title = {Distilling Causal Effect of Data in Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3957-3966} }
Backdoor Attacks Against Deep Learning Systems in the Physical World: Emily Wenger,

Josephine Passananti,

Arjun Nitin Bhagoji,

Yuanshun Yao,

Haitao Zheng,

Ben Y. Zhao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wenger_2021_CVPR, author = {Wenger, Emily and Passananti, Josephine and Bhagoji, Arjun Nitin and Yao, Yuanshun and Zheng, Haitao and Zhao, Ben Y.}, title = {Backdoor Attacks Against Deep Learning Systems in the Physical World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6206-6215} }
A Multiplexed Network for End-to-End, Multilingual OCR: Jing Huang,

Guan Pang,

Rama Kovvuri,

Mandy Toh,

Kevin J Liang,

Praveen Krishnan,

Xi Yin,

Tal Hassner; [pdf] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Jing and Pang, Guan and Kovvuri, Rama and Toh, Mandy and Liang, Kevin J and Krishnan, Praveen and Yin, Xi and Hassner, Tal}, title = {A Multiplexed Network for End-to-End, Multilingual OCR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4547-4557} }
Memory-Guided Unsupervised Image-to-Image Translation: Somi Jeong,

Youngjung Kim,

Eungbean Lee,

Kwanghoon Sohn; [pdf] [arXiv]
[bibtex]
@InProceedings{Jeong_2021_CVPR, author = {Jeong, Somi and Kim, Youngjung and Lee, Eungbean and Sohn, Kwanghoon}, title = {Memory-Guided Unsupervised Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6558-6567} }
PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features: Zhenwei Miao,

Jikai Chen,

Hongyu Pan,

Ruiwen Zhang,

Kaixuan Liu,

Peihan Hao,

Jun Zhu,

Yang Wang,

Xin Zhan; [pdf]
[bibtex]
@InProceedings{Miao_2021_CVPR, author = {Miao, Zhenwei and Chen, Jikai and Pan, Hongyu and Zhang, Ruiwen and Liu, Kaixuan and Hao, Peihan and Zhu, Jun and Wang, Yang and Zhan, Xin}, title = {PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3279-3288} }
Multiple Object Tracking With Correlation Learning: Qiang Wang,

Yun Zheng,

Pan Pan,

Yinghui Xu; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Qiang and Zheng, Yun and Pan, Pan and Xu, Yinghui}, title = {Multiple Object Tracking With Correlation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3876-3886} }
Exploring Sparsity in Image Super-Resolution for Efficient Inference: Longguang Wang,

Xiaoyu Dong,

Yingqian Wang,

Xinyi Ying,

Zaiping Lin,

Wei An,

Yulan Guo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Longguang and Dong, Xiaoyu and Wang, Yingqian and Ying, Xinyi and Lin, Zaiping and An, Wei and Guo, Yulan}, title = {Exploring Sparsity in Image Super-Resolution for Efficient Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4917-4926} }
StylePeople: A Generative Model of Fullbody Human Avatars: Artur Grigorev,

Karim Iskakov,

Anastasia Ianina,

Renat Bashirov,

Ilya Zakharkin,

Alexander Vakhitov,

Victor Lempitsky; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Grigorev_2021_CVPR, author = {Grigorev, Artur and Iskakov, Karim and Ianina, Anastasia and Bashirov, Renat and Zakharkin, Ilya and Vakhitov, Alexander and Lempitsky, Victor}, title = {StylePeople: A Generative Model of Fullbody Human Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5151-5160} }
Multi-Objective Interpolation Training for Robustness To Label Noise: Diego Ortego,

Eric Arazo,

Paul Albert,

Noel E. O'Connor,

Kevin McGuinness; [pdf] [arXiv]
[bibtex]
@InProceedings{Ortego_2021_CVPR, author = {Ortego, Diego and Arazo, Eric and Albert, Paul and O'Connor, Noel E. and McGuinness, Kevin}, title = {Multi-Objective Interpolation Training for Robustness To Label Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6606-6615} }
PhySG: Inverse Rendering With Spherical Gaussians for Physics-Based Material Editing and Relighting: Kai Zhang,

Fujun Luan,

Qianqian Wang,

Kavita Bala,

Noah Snavely; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Kai and Luan, Fujun and Wang, Qianqian and Bala, Kavita and Snavely, Noah}, title = {PhySG: Inverse Rendering With Spherical Gaussians for Physics-Based Material Editing and Relighting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5453-5462} }
Predator: Registration of 3D Point Clouds With Low Overlap: Shengyu Huang,

Zan Gojcic,

Mikhail Usvyatsov,

Andreas Wieser,

Konrad Schindler; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Shengyu and Gojcic, Zan and Usvyatsov, Mikhail and Wieser, Andreas and Schindler, Konrad}, title = {Predator: Registration of 3D Point Clouds With Low Overlap}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4267-4276} }
Hierarchical Motion Understanding via Motion Programs: Sumith Kulal,

Jiayuan Mao,

Alex Aiken,

Jiajun Wu; [pdf] [arXiv]
[bibtex]
@InProceedings{Kulal_2021_CVPR, author = {Kulal, Sumith and Mao, Jiayuan and Aiken, Alex and Wu, Jiajun}, title = {Hierarchical Motion Understanding via Motion Programs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6568-6576} }
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation: Valentin Khrulkov,

Artem Babenko; [pdf]
[bibtex]
@InProceedings{Khrulkov_2021_CVPR, author = {Khrulkov, Valentin and Babenko, Artem}, title = {Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4988-4997} }
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification: Yuyang Zhao,

Zhun Zhong,

Fengxiang Yang,

Zhiming Luo,

Yaojin Lin,

Shaozi Li,

Nicu Sebe; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yuyang and Zhong, Zhun and Yang, Fengxiang and Luo, Zhiming and Lin, Yaojin and Li, Shaozi and Sebe, Nicu}, title = {Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6277-6286} }
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces: Miguel Jaques,

Michael Burke,

Timothy M. Hospedales; [pdf] [arXiv]
[bibtex]
@InProceedings{Jaques_2021_CVPR, author = {Jaques, Miguel and Burke, Michael and Hospedales, Timothy M.}, title = {NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4454-4463} }
Repopulating Street Scenes: Yifan Wang,

Andrew Liu,

Richard Tucker,

Jiajun Wu,

Brian L. Curless,

Steven M. Seitz,

Noah Snavely; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Yifan and Liu, Andrew and Tucker, Richard and Wu, Jiajun and Curless, Brian L. and Seitz, Steven M. and Snavely, Noah}, title = {Repopulating Street Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5110-5119} }
Unsupervised Object Detection With LIDAR Clues: Hao Tian,

Yuntao Chen,

Jifeng Dai,

Zhaoxiang Zhang,

Xizhou Zhu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tian_2021_CVPR, author = {Tian, Hao and Chen, Yuntao and Dai, Jifeng and Zhang, Zhaoxiang and Zhu, Xizhou}, title = {Unsupervised Object Detection With LIDAR Clues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5962-5972} }
Controlling the Rain: From Removal to Rendering: Siqi Ni,

Xueyun Cao,

Tao Yue,

Xuemei Hu; [pdf] [supp]
[bibtex]
@InProceedings{Ni_2021_CVPR, author = {Ni, Siqi and Cao, Xueyun and Yue, Tao and Hu, Xuemei}, title = {Controlling the Rain: From Removal to Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6328-6337} }
Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection: Tengfei Song,

Zijun Cui,

Wenming Zheng,

Qiang Ji; [pdf] [supp]
[bibtex]
@InProceedings{Song_2021_CVPR, author = {Song, Tengfei and Cui, Zijun and Zheng, Wenming and Ji, Qiang}, title = {Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6267-6276} }
Weakly Supervised Learning of Rigid 3D Scene Flow: Zan Gojcic,

Or Litany,

Andreas Wieser,

Leonidas J. Guibas,

Tolga Birdal; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gojcic_2021_CVPR, author = {Gojcic, Zan and Litany, Or and Wieser, Andreas and Guibas, Leonidas J. and Birdal, Tolga}, title = {Weakly Supervised Learning of Rigid 3D Scene Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5692-5703} }
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation: Shubhankar Borse,

Ying Wang,

Yizhe Zhang,

Fatih Porikli; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Borse_2021_CVPR, author = {Borse, Shubhankar and Wang, Ying and Zhang, Yizhe and Porikli, Fatih}, title = {InverseForm: A Loss Function for Structured Boundary-Aware Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5901-5911} }
Learning Placeholders for Open-Set Recognition: Da-Wei Zhou,

Han-Jia Ye,

De-Chuan Zhan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Da-Wei and Ye, Han-Jia and Zhan, De-Chuan}, title = {Learning Placeholders for Open-Set Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4401-4410} }
More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval: Ayan Kumar Bhunia,

Pinaki Nath Chowdhury,

Aneeshan Sain,

Yongxin Yang,

Tao Xiang,

Yi-Zhe Song; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bhunia_2021_CVPR, author = {Bhunia, Ayan Kumar and Chowdhury, Pinaki Nath and Sain, Aneeshan and Yang, Yongxin and Xiang, Tao and Song, Yi-Zhe}, title = {More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4247-4256} }
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders: Jiwoong Park,

Junho Cho,

Hyung Jin Chang,

Jin Young Choi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Park_2021_CVPR, author = {Park, Jiwoong and Cho, Junho and Chang, Hyung Jin and Choi, Jin Young}, title = {Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5516-5526} }
Exploring Adversarial Fake Images on Face Manifold: Dongze Li,

Wei Wang,

Hongxing Fan,

Jing Dong; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Dongze and Wang, Wei and Fan, Hongxing and Dong, Jing}, title = {Exploring Adversarial Fake Images on Face Manifold}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5789-5798} }
Deep Video Matting via Spatio-Temporal Alignment and Aggregation: Yanan Sun,

Guanzhi Wang,

Qiao Gu,

Chi-Keung Tang,

Yu-Wing Tai; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Yanan and Wang, Guanzhi and Gu, Qiao and Tang, Chi-Keung and Tai, Yu-Wing}, title = {Deep Video Matting via Spatio-Temporal Alignment and Aggregation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6975-6984} }
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation: Guo-Sen Xie,

Jie Liu,

Huan Xiong,

Ling Shao; [pdf]
[bibtex]
@InProceedings{Xie_2021_CVPR, author = {Xie, Guo-Sen and Liu, Jie and Xiong, Huan and Shao, Ling}, title = {Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5475-5484} }
Adaptive Class Suppression Loss for Long-Tail Object Detection: Tong Wang,

Yousong Zhu,

Chaoyang Zhao,

Wei Zeng,

Jinqiao Wang,

Ming Tang; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Tong and Zhu, Yousong and Zhao, Chaoyang and Zeng, Wei and Wang, Jinqiao and Tang, Ming}, title = {Adaptive Class Suppression Loss for Long-Tail Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3103-3112} }
Crossing Cuts Polygonal Puzzles: Models and Solvers: Peleg Harel,

Ohad Ben-Shahar; [pdf] [supp]
[bibtex]
@InProceedings{Harel_2021_CVPR, author = {Harel, Peleg and Ben-Shahar, Ohad}, title = {Crossing Cuts Polygonal Puzzles: Models and Solvers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3084-3093} }
Network Quantization With Element-Wise Gradient Scaling: Junghyup Lee,

Dohyung Kim,

Bumsub Ham; [pdf] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Junghyup and Kim, Dohyung and Ham, Bumsub}, title = {Network Quantization With Element-Wise Gradient Scaling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6448-6457} }
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder: Tal Daniel,

Aviv Tamar; [pdf] [supp]
[bibtex]
@InProceedings{Daniel_2021_CVPR, author = {Daniel, Tal and Tamar, Aviv}, title = {Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4391-4400} }
Universal Spectral Adversarial Attacks for Deformable Shapes: Arianna Rampini,

Franco Pestarini,

Luca Cosmo,

Simone Melzi,

Emanuele Rodola; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Rampini_2021_CVPR, author = {Rampini, Arianna and Pestarini, Franco and Cosmo, Luca and Melzi, Simone and Rodola, Emanuele}, title = {Universal Spectral Adversarial Attacks for Deformable Shapes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3216-3226} }
HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation: Jiefeng Li,

Chao Xu,

Zhicun Chen,

Siyuan Bian,

Lixin Yang,

Cewu Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Jiefeng and Xu, Chao and Chen, Zhicun and Bian, Siyuan and Yang, Lixin and Lu, Cewu}, title = {HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3383-3393} }
Human De-Occlusion: Invisible Perception and Recovery for Humans: Qiang Zhou,

Shiyin Wang,

Yitong Wang,

Zilong Huang,

Xinggang Wang; [pdf] [supp]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Qiang and Wang, Shiyin and Wang, Yitong and Huang, Zilong and Wang, Xinggang}, title = {Human De-Occlusion: Invisible Perception and Recovery for Humans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3691-3701} }
Stochastic Image-to-Video Synthesis Using cINNs: Michael Dorkenwald,

Timo Milbich,

Andreas Blattmann,

Robin Rombach,

Konstantinos G. Derpanis,

Bjorn Ommer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dorkenwald_2021_CVPR, author = {Dorkenwald, Michael and Milbich, Timo and Blattmann, Andreas and Rombach, Robin and Derpanis, Konstantinos G. and Ommer, Bjorn}, title = {Stochastic Image-to-Video Synthesis Using cINNs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3742-3753} }
Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos: Yanghao Li,

Tushar Nagarajan,

Bo Xiong,

Kristen Grauman; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Yanghao and Nagarajan, Tushar and Xiong, Bo and Grauman, Kristen}, title = {Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6943-6953} }
Jo-SRC: A Contrastive Approach for Combating Noisy Labels: Yazhou Yao,

Zeren Sun,

Chuanyi Zhang,

Fumin Shen,

Qi Wu,

Jian Zhang,

Zhenmin Tang; [pdf]
[bibtex]
@InProceedings{Yao_2021_CVPR, author = {Yao, Yazhou and Sun, Zeren and Zhang, Chuanyi and Shen, Fumin and Wu, Qi and Zhang, Jian and Tang, Zhenmin}, title = {Jo-SRC: A Contrastive Approach for Combating Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5192-5201} }
RGB-D Local Implicit Function for Depth Completion of Transparent Objects: Luyang Zhu,

Arsalan Mousavian,

Yu Xiang,

Hammad Mazhar,

Jozef van Eenbergen,

Shoubhik Debnath,

Dieter Fox; [pdf] [supp]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Luyang and Mousavian, Arsalan and Xiang, Yu and Mazhar, Hammad and van Eenbergen, Jozef and Debnath, Shoubhik and Fox, Dieter}, title = {RGB-D Local Implicit Function for Depth Completion of Transparent Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4649-4658} }
Fingerspelling Detection in American Sign Language: Bowen Shi,

Diane Brentari,

Greg Shakhnarovich,

Karen Livescu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shi_2021_CVPR, author = {Shi, Bowen and Brentari, Diane and Shakhnarovich, Greg and Livescu, Karen}, title = {Fingerspelling Detection in American Sign Language}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4166-4175} }
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution: Gang Xu,

Jun Xu,

Zhen Li,

Liang Wang,

Xing Sun,

Ming-Ming Cheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Gang and Xu, Jun and Li, Zhen and Wang, Liang and Sun, Xing and Cheng, Ming-Ming}, title = {Temporal Modulation Network for Controllable Space-Time Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6388-6397} }
Uncertainty-Aware Camera Pose Estimation From Points and Lines: Alexander Vakhitov,

Luis Ferraz,

Antonio Agudo,

Francesc Moreno-Noguer; [pdf] [supp]
[bibtex]
@InProceedings{Vakhitov_2021_CVPR, author = {Vakhitov, Alexander and Ferraz, Luis and Agudo, Antonio and Moreno-Noguer, Francesc}, title = {Uncertainty-Aware Camera Pose Estimation From Points and Lines}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4659-4668} }
Information-Theoretic Segmentation by Inpainting Error Maximization: Pedro Savarese,

Sunnie S. Y. Kim,

Michael Maire,

Greg Shakhnarovich,

David McAllester; [pdf] [supp] [arXiv ]
[bibtex]
@InProceedings{Savarese_2021_CVPR, author = {Savarese, Pedro and Kim, Sunnie S. Y. and Maire, Michael and Shakhnarovich, Greg and McAllester, David}, title = {Information-Theoretic Segmentation by Inpainting Error Maximization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4029-4039} }
RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features: Gang Zhang,

Xin Lu,

Jingru Tan,

Jianmin Li,

Zhaoxiang Zhang,

Quanquan Li,

Xiaolin Hu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Gang and Lu, Xin and Tan, Jingru and Li, Jianmin and Zhang, Zhaoxiang and Li, Quanquan and Hu, Xiaolin}, title = {RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6861-6869} }
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation: Yufan He,

Dong Yang,

Holger Roth,

Can Zhao,

Daguang Xu; [pdf] [arXiv]
[bibtex]
@InProceedings{He_2021_CVPR, author = {He, Yufan and Yang, Dong and Roth, Holger and Zhao, Can and Xu, Daguang}, title = {DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5841-5850} }
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning: Abulikemu Abuduweili,

Xingjian Li,

Humphrey Shi,

Cheng-Zhong Xu,

Dejing Dou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Abuduweili_2021_CVPR, author = {Abuduweili, Abulikemu and Li, Xingjian and Shi, Humphrey and Xu, Cheng-Zhong and Dou, Dejing}, title = {Adaptive Consistency Regularization for Semi-Supervised Transfer Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6923-6932} }
Double Low-Rank Representation With Projection Distance Penalty for Clustering: Zhiqiang Fu,

Yao Zhao,

Dongxia Chang,

Xingxing Zhang,

Yiming Wang; [pdf] [supp]
[bibtex]
@InProceedings{Fu_2021_CVPR, author = {Fu, Zhiqiang and Zhao, Yao and Chang, Dongxia and Zhang, Xingxing and Wang, Yiming}, title = {Double Low-Rank Representation With Projection Distance Penalty for Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5320-5329} }
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation: Yair Kittenplon,

Yonina C. Eldar,

Dan Raviv; [pdf] [arXiv]
[bibtex]
@InProceedings{Kittenplon_2021_CVPR, author = {Kittenplon, Yair and Eldar, Yonina C. and Raviv, Dan}, title = {FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4114-4123} }
Invertible Image Signal Processing: Yazhou Xing,

Zian Qian,

Qifeng Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xing_2021_CVPR, author = {Xing, Yazhou and Qian, Zian and Chen, Qifeng}, title = {Invertible Image Signal Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6287-6296} }
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation: Dohun Lim,

Hyeonseok Lee,

Sungchan Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lim_2021_CVPR, author = {Lim, Dohun and Lee, Hyeonseok and Kim, Sungchan}, title = {Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6468-6477} }
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions: Yuntao Qu,

Shasha Mo,

Jianwei Niu; [pdf] [supp]
[bibtex]
@InProceedings{Qu_2021_CVPR, author = {Qu, Yuntao and Mo, Shasha and Niu, Jianwei}, title = {DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6821-6829} }
PointGuard: Provably Robust 3D Point Cloud Classification: Hongbin Liu,

Jinyuan Jia,

Neil Zhenqiang Gong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Hongbin and Jia, Jinyuan and Gong, Neil Zhenqiang}, title = {PointGuard: Provably Robust 3D Point Cloud Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6186-6195} }
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks: Ding Sheng Ong,

Chee Seng Chan,

Kam Woh Ng,

Lixin Fan,

Qiang Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ong_2021_CVPR, author = {Ong, Ding Sheng and Chan, Chee Seng and Ng, Kam Woh and Fan, Lixin and Yang, Qiang}, title = {Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3630-3639} }
End-to-End High Dynamic Range Camera Pipeline Optimization: Nicolas Robidoux,

Luis E. Garcia Capel,

Dong-eun Seo,

Avinash Sharma,

Federico Ariza,

Felix Heide; [pdf] [supp]
[bibtex]
@InProceedings{Robidoux_2021_CVPR, author = {Robidoux, Nicolas and Capel, Luis E. Garcia and Seo, Dong-eun and Sharma, Avinash and Ariza, Federico and Heide, Felix}, title = {End-to-End High Dynamic Range Camera Pipeline Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6297-6307} }
High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras: Yajing Zheng,

Lingxiao Zheng,

Zhaofei Yu,

Boxin Shi,

Yonghong Tian,

Tiejun Huang; [pdf] [supp]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Yajing and Zheng, Lingxiao and Yu, Zhaofei and Shi, Boxin and Tian, Yonghong and Huang, Tiejun}, title = {High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6358-6367} }
Self-Supervised 3D Mesh Reconstruction From Single Images: Tao Hu,

Liwei Wang,

Xiaogang Xu,

Shu Liu,

Jiaya Jia; [pdf] [supp]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Tao and Wang, Liwei and Xu, Xiaogang and Liu, Shu and Jia, Jiaya}, title = {Self-Supervised 3D Mesh Reconstruction From Single Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6002-6011} }
Combined Depth Space Based Architecture Search for Person Re-Identification: Hanjun Li,

Gaojie Wu,

Wei-Shi Zheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Hanjun and Wu, Gaojie and Zheng, Wei-Shi}, title = {Combined Depth Space Based Architecture Search for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6729-6738} }
Restore From Restored: Video Restoration With Pseudo Clean Video: Seunghwan Lee,

Donghyeon Cho,

Jiwon Kim,

Tae Hyun Kim; [pdf] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Seunghwan and Cho, Donghyeon and Kim, Jiwon and Kim, Tae Hyun}, title = {Restore From Restored: Video Restoration With Pseudo Clean Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3537-3546} }
Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection: Qize Yang,

Xihan Wei,

Biao Wang,

Xian-Sheng Hua,

Lei Zhang; [pdf]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Qize and Wei, Xihan and Wang, Biao and Hua, Xian-Sheng and Zhang, Lei}, title = {Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5941-5950} }
Vx2Text: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs: Xudong Lin,

Gedas Bertasius,

Jue Wang,

Shih-Fu Chang,

Devi Parikh,

Lorenzo Torresani; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Xudong and Bertasius, Gedas and Wang, Jue and Chang, Shih-Fu and Parikh, Devi and Torresani, Lorenzo}, title = {Vx2Text: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7005-7015} }
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization: Aysim Toker,

Qunjie Zhou,

Maxim Maximov,

Laura Leal-Taixe; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Toker_2021_CVPR, author = {Toker, Aysim and Zhou, Qunjie and Maximov, Maxim and Leal-Taixe, Laura}, title = {Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6488-6497} }
Room-and-Object Aware Knowledge Reasoning for Remote Embodied Referring Expression: Chen Gao,

Jinyu Chen,

Si Liu,

Luting Wang,

Qiong Zhang,

Qi Wu; [pdf] [supp]
[bibtex]
@InProceedings{Gao_2021_CVPR, author = {Gao, Chen and Chen, Jinyu and Liu, Si and Wang, Luting and Zhang, Qiong and Wu, Qi}, title = {Room-and-Object Aware Knowledge Reasoning for Remote Embodied Referring Expression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3064-3073} }
HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation: Yuval Nirkin,

Lior Wolf,

Tal Hassner; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nirkin_2021_CVPR, author = {Nirkin, Yuval and Wolf, Lior and Hassner, Tal}, title = {HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4061-4070} }
Partition-Guided GANs: Mohammadreza Armandpour,

Ali Sadeghian,

Chunyuan Li,

Mingyuan Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Armandpour_2021_CVPR, author = {Armandpour, Mohammadreza and Sadeghian, Ali and Li, Chunyuan and Zhou, Mingyuan}, title = {Partition-Guided GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5099-5109} }
GATSBI: Generative Agent-Centric Spatio-Temporal Object Interaction: Cheol-Hui Min,

Jinseok Bae,

Junho Lee,

Young Min Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Min_2021_CVPR, author = {Min, Cheol-Hui and Bae, Jinseok and Lee, Junho and Kim, Young Min}, title = {GATSBI: Generative Agent-Centric Spatio-Temporal Object Interaction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3074-3083} }
pixelNeRF: Neural Radiance Fields From One or Few Images: Alex Yu,

Vickie Ye,

Matthew Tancik,

Angjoo Kanazawa; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2021_CVPR, author = {Yu, Alex and Ye, Vickie and Tancik, Matthew and Kanazawa, Angjoo}, title = {pixelNeRF: Neural Radiance Fields From One or Few Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4578-4587} }
Navigating the GAN Parameter Space for Semantic Image Editing: Anton Cherepkov,

Andrey Voynov,

Artem Babenko; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cherepkov_2021_CVPR, author = {Cherepkov, Anton and Voynov, Andrey and Babenko, Artem}, title = {Navigating the GAN Parameter Space for Semantic Image Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3671-3680} }
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition: Shuang Li,

Kaixiong Gong,

Chi Harold Liu,

Yulin Wang,

Feng Qiao,

Xinjing Cheng; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Shuang and Gong, Kaixiong and Liu, Chi Harold and Wang, Yulin and Qiao, Feng and Cheng, Xinjing}, title = {MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5212-5221} }
Disentangling Label Distribution for Long-Tailed Visual Recognition: Youngkyu Hong,

Seungju Han,

Kwanghee Choi,

Seokjun Seo,

Beomsu Kim,

Buru Chang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hong_2021_CVPR, author = {Hong, Youngkyu and Han, Seungju and Choi, Kwanghee and Seo, Seokjun and Kim, Beomsu and Chang, Buru}, title = {Disentangling Label Distribution for Long-Tailed Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6626-6636} }
Representing Videos As Discriminative Sub-Graphs for Action Recognition: Dong Li,

Zhaofan Qiu,

Yingwei Pan,

Ting Yao,

Houqiang Li,

Tao Mei; [pdf]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Dong and Qiu, Zhaofan and Pan, Yingwei and Yao, Ting and Li, Houqiang and Mei, Tao}, title = {Representing Videos As Discriminative Sub-Graphs for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3310-3319} }
How Well Do Self-Supervised Models Transfer?: Linus Ericsson,

Henry Gouk,

Timothy M. Hospedales; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ericsson_2021_CVPR, author = {Ericsson, Linus and Gouk, Henry and Hospedales, Timothy M.}, title = {How Well Do Self-Supervised Models Transfer?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5414-5423} }
Understanding Object Dynamics for Interactive Image-to-Video Synthesis: Andreas Blattmann,

Timo Milbich,

Michael Dorkenwald,

Bjorn Ommer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Blattmann_2021_CVPR, author = {Blattmann, Andreas and Milbich, Timo and Dorkenwald, Michael and Ommer, Bjorn}, title = {Understanding Object Dynamics for Interactive Image-to-Video Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5171-5181} }
Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis: Eric R. Chan,

Marco Monteiro,

Petr Kellnhofer,

Jiajun Wu,

Gordon Wetzstein; [pdf] [supp]
[bibtex]
@InProceedings{Chan_2021_CVPR, author = {Chan, Eric R. and Monteiro, Marco and Kellnhofer, Petr and Wu, Jiajun and Wetzstein, Gordon}, title = {Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5799-5809} }
Slimmable Compressive Autoencoders for Practical Neural Image Compression: Fei Yang,

Luis Herranz,

Yongmei Cheng,

Mikhail G. Mozerov; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Fei and Herranz, Luis and Cheng, Yongmei and Mozerov, Mikhail G.}, title = {Slimmable Compressive Autoencoders for Practical Neural Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4998-5007} }
Function4D: Real-Time Human Volumetric Capture From Very Sparse Consumer RGBD Sensors: Tao Yu,

Zerong Zheng,

Kaiwen Guo,

Pengpeng Liu,

Qionghai Dai,

Yebin Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2021_CVPR, author = {Yu, Tao and Zheng, Zerong and Guo, Kaiwen and Liu, Pengpeng and Dai, Qionghai and Liu, Yebin}, title = {Function4D: Real-Time Human Volumetric Capture From Very Sparse Consumer RGBD Sensors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5746-5756} }
Self-Attention Based Text Knowledge Mining for Text Detection: Qi Wan,

Haoqin Ji,

Linlin Shen; [pdf] [supp]
[bibtex]
@InProceedings{Wan_2021_CVPR, author = {Wan, Qi and Ji, Haoqin and Shen, Linlin}, title = {Self-Attention Based Text Knowledge Mining for Text Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5983-5992} }
Image De-Raining via Continual Learning: Man Zhou,

Jie Xiao,

Yifan Chang,

Xueyang Fu,

Aiping Liu,

Jinshan Pan,

Zheng-Jun Zha; [pdf]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Man and Xiao, Jie and Chang, Yifan and Fu, Xueyang and Liu, Aiping and Pan, Jinshan and Zha, Zheng-Jun}, title = {Image De-Raining via Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4907-4916} }
Layer-Wise Searching for 1-Bit Detectors: Sheng Xu,

Junhe Zhao,

Jinhu Lu,

Baochang Zhang,

Shumin Han,

David Doermann; [pdf]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Sheng and Zhao, Junhe and Lu, Jinhu and Zhang, Baochang and Han, Shumin and Doermann, David}, title = {Layer-Wise Searching for 1-Bit Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5682-5691} }
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning: Yanbei Chen,

Yongqin Xian,

A. Sophia Koepke,

Ying Shan,

Zeynep Akata; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Yanbei and Xian, Yongqin and Koepke, A. Sophia and Shan, Ying and Akata, Zeynep}, title = {Distilling Audio-Visual Knowledge by Compositional Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7016-7025} }
Unsupervised Visual Attention and Invariance for Reinforcement Learning: Xudong Wang,

Long Lian,

Stella X. Yu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Xudong and Lian, Long and Yu, Stella X.}, title = {Unsupervised Visual Attention and Invariance for Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6677-6687} }
Humble Teachers Teach Better Students for Semi-Supervised Object Detection: Yihe Tang,

Weifeng Chen,

Yijun Luo,

Yuting Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2021_CVPR, author = {Tang, Yihe and Chen, Weifeng and Luo, Yijun and Zhang, Yuting}, title = {Humble Teachers Teach Better Students for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3132-3141} }
One Shot Face Swapping on Megapixels: Yuhao Zhu,

Qi Li,

Jian Wang,

Cheng-Zhong Xu,

Zhenan Sun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Yuhao and Li, Qi and Wang, Jian and Xu, Cheng-Zhong and Sun, Zhenan}, title = {One Shot Face Swapping on Megapixels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4834-4844} }
PAConv: Position Adaptive Convolution With Dynamic Kernel Assembling on Point Clouds: Mutian Xu,

Runyu Ding,

Hengshuang Zhao,

Xiaojuan Qi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Mutian and Ding, Runyu and Zhao, Hengshuang and Qi, Xiaojuan}, title = {PAConv: Position Adaptive Convolution With Dynamic Kernel Assembling on Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3173-3182} }
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation: Youngmin Oh,

Beomjun Kim,

Bumsub Ham; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Oh_2021_CVPR, author = {Oh, Youngmin and Kim, Beomjun and Ham, Bumsub}, title = {Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6913-6922} }
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-Localization in Large Scenes From Body-Mounted Sensors: Vladimir Guzov,

Aymen Mir,

Torsten Sattler,

Gerard Pons-Moll; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Guzov_2021_CVPR, author = {Guzov, Vladimir and Mir, Aymen and Sattler, Torsten and Pons-Moll, Gerard}, title = {Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-Localization in Large Scenes From Body-Mounted Sensors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4318-4329} }
Learning Compositional Radiance Fields of Dynamic Human Heads: Ziyan Wang,

Timur Bagautdinov,

Stephen Lombardi,

Tomas Simon,

Jason Saragih,

Jessica Hodgins,

Michael Zollhofer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Ziyan and Bagautdinov, Timur and Lombardi, Stephen and Simon, Tomas and Saragih, Jason and Hodgins, Jessica and Zollhofer, Michael}, title = {Learning Compositional Radiance Fields of Dynamic Human Heads}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5704-5713} }
Structured Multi-Level Interaction Network for Video Moment Localization via Language Query: Hao Wang,

Zheng-Jun Zha,

Liang Li,

Dong Liu,

Jiebo Luo; [pdf]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Hao and Zha, Zheng-Jun and Li, Liang and Liu, Dong and Luo, Jiebo}, title = {Structured Multi-Level Interaction Network for Video Moment Localization via Language Query}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7026-7035} }
Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction: Daejin Kim,

Mohammad Azam Khan,

Jaegul Choo; [pdf]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Daejin and Khan, Mohammad Azam and Choo, Jaegul}, title = {Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6509-6518} }
DSRNA: Differentiable Search of Robust Neural Architectures: Ramtin Hosseini,

Xingyi Yang,

Pengtao Xie; [pdf] [arXiv]
[bibtex]
@InProceedings{Hosseini_2021_CVPR, author = {Hosseini, Ramtin and Yang, Xingyi and Xie, Pengtao}, title = {DSRNA: Differentiable Search of Robust Neural Architectures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6196-6205} }
GMOT-40: A Benchmark for Generic Multiple Object Tracking: Hexin Bai,

Wensheng Cheng,

Peng Chu,

Juehuan Liu,

Kai Zhang,

Haibin Ling; [pdf] [supp]
[bibtex]
@InProceedings{Bai_2021_CVPR, author = {Bai, Hexin and Cheng, Wensheng and Chu, Peng and Liu, Juehuan and Zhang, Kai and Ling, Haibin}, title = {GMOT-40: A Benchmark for Generic Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6719-6728} }
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting: Lingbo Liu,

Jiaqi Chen,

Hefeng Wu,

Guanbin Li,

Chenglong Li,

Liang Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Lingbo and Chen, Jiaqi and Wu, Hefeng and Li, Guanbin and Li, Chenglong and Lin, Liang}, title = {Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4823-4833} }
Mitigating Face Recognition Bias via Group Adaptive Classifier: Sixue Gong,

Xiaoming Liu,

Anil K. Jain; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gong_2021_CVPR, author = {Gong, Sixue and Liu, Xiaoming and Jain, Anil K.}, title = {Mitigating Face Recognition Bias via Group Adaptive Classifier}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3414-3424} }
Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations: Zhihui Li,

Lina Yao; [pdf]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Zhihui and Yao, Lina}, title = {Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4751-4760} }
Image Super-Resolution With Non-Local Sparse Attention: Yiqun Mei,

Yuchen Fan,

Yuqian Zhou; [pdf] [supp]
[bibtex]
@InProceedings{Mei_2021_CVPR, author = {Mei, Yiqun and Fan, Yuchen and Zhou, Yuqian}, title = {Image Super-Resolution With Non-Local Sparse Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3517-3526} }
SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks: Shunsuke Saito,

Jinlong Yang,

Qianli Ma,

Michael J. Black; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Saito_2021_CVPR, author = {Saito, Shunsuke and Yang, Jinlong and Ma, Qianli and Black, Michael J.}, title = {SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2886-2897} }
On Semantic Similarity in Video Retrieval: Michael Wray,

Hazel Doughty,

Dima Damen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wray_2021_CVPR, author = {Wray, Michael and Doughty, Hazel and Damen, Dima}, title = {On Semantic Similarity in Video Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3650-3660} }
Uncertainty-Guided Model Generalization to Unseen Domains: Fengchun Qiao,

Xi Peng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qiao_2021_CVPR, author = {Qiao, Fengchun and Peng, Xi}, title = {Uncertainty-Guided Model Generalization to Unseen Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6790-6800} }
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection: Chang Liu,

Han Yu,

Boyang Li,

Zhiqi Shen,

Zhanning Gao,

Peiran Ren,

Xuansong Xie,

Lizhen Cui,

Chunyan Miao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Chang and Yu, Han and Li, Boyang and Shen, Zhiqi and Gao, Zhanning and Ren, Peiran and Xie, Xuansong and Cui, Lizhen and Miao, Chunyan}, title = {Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6811-6820} }
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes: Zhengqi Li,

Simon Niklaus,

Noah Snavely,

Oliver Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Zhengqi and Niklaus, Simon and Snavely, Noah and Wang, Oliver}, title = {Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6498-6508} }
Multimodal Contrastive Training for Visual Representation Learning: Xin Yuan,

Zhe Lin,

Jason Kuen,

Jianming Zhang,

Yilin Wang,

Michael Maire,

Ajinkya Kale,

Baldo Faieta; [pdf] [arXiv]
[bibtex]
@InProceedings{Yuan_2021_CVPR, author = {Yuan, Xin and Lin, Zhe and Kuen, Jason and Zhang, Jianming and Wang, Yilin and Maire, Michael and Kale, Ajinkya and Faieta, Baldo}, title = {Multimodal Contrastive Training for Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6995-7004} }
Object Classification From Randomized EEG Trials: Hamad Ahmed,

Ronnie B. Wilbur,

Hari M. Bharadwaj,

Jeffrey Mark Siskind; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ahmed_2021_CVPR, author = {Ahmed, Hamad and Wilbur, Ronnie B. and Bharadwaj, Hari M. and Siskind, Jeffrey Mark}, title = {Object Classification From Randomized EEG Trials}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3845-3854} }
De-Rendering the World's Revolutionary Artefacts: Shangzhe Wu,

Ameesh Makadia,

Jiajun Wu,

Noah Snavely,

Richard Tucker,

Angjoo Kanazawa; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Shangzhe and Makadia, Ameesh and Wu, Jiajun and Snavely, Noah and Tucker, Richard and Kanazawa, Angjoo}, title = {De-Rendering the World's Revolutionary Artefacts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6338-6347} }
Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow: Shangrong Yang,

Chunyu Lin,

Kang Liao,

Chunjie Zhang,

Yao Zhao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Shangrong and Lin, Chunyu and Liao, Kang and Zhang, Chunjie and Zhao, Yao}, title = {Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6348-6357} }
Back to the Feature: Learning Robust Camera Localization From Pixels To Pose: Paul-Edouard Sarlin,

Ajaykumar Unagar,

Mans Larsson,

Hugo Germain,

Carl Toft,

Viktor Larsson,

Marc Pollefeys,

Vincent Lepetit,

Lars Hammarstrand,

Fredrik Kahl,

Torsten Sattler; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sarlin_2021_CVPR, author = {Sarlin, Paul-Edouard and Unagar, Ajaykumar and Larsson, Mans and Germain, Hugo and Toft, Carl and Larsson, Viktor and Pollefeys, Marc and Lepetit, Vincent and Hammarstrand, Lars and Kahl, Fredrik and Sattler, Torsten}, title = {Back to the Feature: Learning Robust Camera Localization From Pixels To Pose}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3247-3257} }
Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction: Jiapeng Tang,

Dan Xu,

Kui Jia,

Lei Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Tang_2021_CVPR, author = {Tang, Jiapeng and Xu, Dan and Jia, Kui and Zhang, Lei}, title = {Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6022-6031} }
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving: Aditya Prakash,

Kashyap Chitta,

Andreas Geiger; [pdf] [arXiv]
[bibtex]
@InProceedings{Prakash_2021_CVPR, author = {Prakash, Aditya and Chitta, Kashyap and Geiger, Andreas}, title = {Multi-Modal Fusion Transformer for End-to-End Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7077-7087} }
Unsupervised Disentanglement of Linear-Encoded Facial Semantics: Yutong Zheng,

Yu-Kai Huang,

Ran Tao,

Zhiqiang Shen,

Marios Savvides; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Yutong and Huang, Yu-Kai and Tao, Ran and Shen, Zhiqiang and Savvides, Marios}, title = {Unsupervised Disentanglement of Linear-Encoded Facial Semantics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3917-3926} }
Learning Position and Target Consistency for Memory-Based Video Object Segmentation: Li Hu,

Peng Zhang,

Bang Zhang,

Pan Pan,

Yinghui Xu,

Rong Jin; [pdf] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Li and Zhang, Peng and Zhang, Bang and Pan, Pan and Xu, Yinghui and Jin, Rong}, title = {Learning Position and Target Consistency for Memory-Based Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4144-4154} }
Visual Room Rearrangement: Luca Weihs,

Matt Deitke,

Aniruddha Kembhavi,

Roozbeh Mottaghi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Weihs_2021_CVPR, author = {Weihs, Luca and Deitke, Matt and Kembhavi, Aniruddha and Mottaghi, Roozbeh}, title = {Visual Room Rearrangement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5922-5931} }
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations: Wolfgang Stammer,

Patrick Schramowski,

Kristian Kersting; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Stammer_2021_CVPR, author = {Stammer, Wolfgang and Schramowski, Patrick and Kersting, Kristian}, title = {Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3619-3629} }
Polygonal Point Set Tracking: Gunhee Nam,

Miran Heo,

Seoung Wug Oh,

Joon-Young Lee,

Seon Joo Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nam_2021_CVPR, author = {Nam, Gunhee and Heo, Miran and Oh, Seoung Wug and Lee, Joon-Young and Kim, Seon Joo}, title = {Polygonal Point Set Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5569-5578} }
Tracking Pedestrian Heads in Dense Crowd: Ramana Sundararaman,

Cedric De Almeida Braga,

Eric Marchand,

Julien Pettre; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sundararaman_2021_CVPR, author = {Sundararaman, Ramana and De Almeida Braga, Cedric and Marchand, Eric and Pettre, Julien}, title = {Tracking Pedestrian Heads in Dense Crowd}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3865-3875} }
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation: Bin Yan,

Xinyu Zhang,

Dong Wang,

Huchuan Lu,

Xiaoyun Yang; [pdf]
[bibtex]
@InProceedings{Yan_2021_CVPR, author = {Yan, Bin and Zhang, Xinyu and Wang, Dong and Lu, Huchuan and Yang, Xiaoyun}, title = {Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5289-5298} }
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts: Soravit Changpinyo,

Piyush Sharma,

Nan Ding,

Radu Soricut; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Changpinyo_2021_CVPR, author = {Changpinyo, Soravit and Sharma, Piyush and Ding, Nan and Soricut, Radu}, title = {Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3558-3568} }
Generalized Few-Shot Object Detection Without Forgetting: Zhibo Fan,

Yuchen Ma,

Zeming Li,

Jian Sun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fan_2021_CVPR, author = {Fan, Zhibo and Ma, Yuchen and Li, Zeming and Sun, Jian}, title = {Generalized Few-Shot Object Detection Without Forgetting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4527-4536} }
Truly Shift-Invariant Convolutional Neural Networks: Anadi Chaman,

Ivan Dokmanic; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chaman_2021_CVPR, author = {Chaman, Anadi and Dokmanic, Ivan}, title = {Truly Shift-Invariant Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3773-3783} }
Leveraging the Availability of Two Cameras for Illuminant Estimation: Abdelrahman Abdelhamed,

Abhijith Punnappurath,

Michael S. Brown; [pdf] [supp]
[bibtex]
@InProceedings{Abdelhamed_2021_CVPR, author = {Abdelhamed, Abdelrahman and Punnappurath, Abhijith and Brown, Michael S.}, title = {Leveraging the Availability of Two Cameras for Illuminant Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6637-6646} }
Towards Accurate 3D Human Motion Prediction From Incomplete Observations: Qiongjie Cui,

Huaijiang Sun; [pdf]
[bibtex]
@InProceedings{Cui_2021_CVPR, author = {Cui, Qiongjie and Sun, Huaijiang}, title = {Towards Accurate 3D Human Motion Prediction From Incomplete Observations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4801-4810} }
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning: Kai Zhu,

Yang Cao,

Wei Zhai,

Jie Cheng,

Zheng-Jun Zha; [pdf]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Kai and Cao, Yang and Zhai, Wei and Cheng, Jie and Zha, Zheng-Jun}, title = {Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6801-6810} }
Towards Compact CNNs via Collaborative Compression: Yuchao Li,

Shaohui Lin,

Jianzhuang Liu,

Qixiang Ye,

Mengdi Wang,

Fei Chao,

Fan Yang,

Jincheng Ma,

Qi Tian,

Rongrong Ji; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Yuchao and Lin, Shaohui and Liu, Jianzhuang and Ye, Qixiang and Wang, Mengdi and Chao, Fei and Yang, Fan and Ma, Jincheng and Tian, Qi and Ji, Rongrong}, title = {Towards Compact CNNs via Collaborative Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6438-6447} }
Separating Skills and Concepts for Novel Visual Question Answering: Spencer Whitehead,

Hui Wu,

Heng Ji,

Rogerio Feris,

Kate Saenko; [pdf] [supp]
[bibtex]
@InProceedings{Whitehead_2021_CVPR, author = {Whitehead, Spencer and Wu, Hui and Ji, Heng and Feris, Rogerio and Saenko, Kate}, title = {Separating Skills and Concepts for Novel Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5632-5641} }
Scalable Differential Privacy With Sparse Network Finetuning: Zelun Luo,

Daniel J. Wu,

Ehsan Adeli,

Li Fei-Fei; [pdf]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Zelun and Wu, Daniel J. and Adeli, Ehsan and Fei-Fei, Li}, title = {Scalable Differential Privacy With Sparse Network Finetuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5059-5068} }
Scene Text Retrieval via Joint Text Detection and Similarity Learning: Hao Wang,

Xiang Bai,

Mingkun Yang,

Shenggao Zhu,

Jing Wang,

Wenyu Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Hao and Bai, Xiang and Yang, Mingkun and Zhu, Shenggao and Wang, Jing and Liu, Wenyu}, title = {Scene Text Retrieval via Joint Text Detection and Similarity Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4558-4567} }
LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection: Jin Fang,

Xinxin Zuo,

Dingfu Zhou,

Shengze Jin,

Sen Wang,

Liangjun Zhang; [pdf]
[bibtex]
@InProceedings{Fang_2021_CVPR, author = {Fang, Jin and Zuo, Xinxin and Zhou, Dingfu and Jin, Shengze and Wang, Sen and Zhang, Liangjun}, title = {LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4710-4720} }
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification: Fengxiang Yang,

Zhun Zhong,

Zhiming Luo,

Yuanzheng Cai,

Yaojin Lin,

Shaozi Li,

Nicu Sebe; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Fengxiang and Zhong, Zhun and Luo, Zhiming and Cai, Yuanzheng and Lin, Yaojin and Li, Shaozi and Sebe, Nicu}, title = {Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4855-4864} }
Single Pair Cross-Modality Super Resolution: Guy Shacht,

Dov Danon,

Sharon Fogel,

Daniel Cohen-Or; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shacht_2021_CVPR, author = {Shacht, Guy and Danon, Dov and Fogel, Sharon and Cohen-Or, Daniel}, title = {Single Pair Cross-Modality Super Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6378-6387} }
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation: Tianfei Zhou,

Jianwu Li,

Xueyi Li,

Ling Shao; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Tianfei and Li, Jianwu and Li, Xueyi and Shao, Ling}, title = {Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6985-6994} }
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution: Wenzhu Xing,

Karen Egiazarian; [pdf] [supp]
[bibtex]
@InProceedings{Xing_2021_CVPR, author = {Xing, Wenzhu and Egiazarian, Karen}, title = {End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3507-3516} }
Learning To Warp for Style Transfer: Xiao-Chang Liu,

Yong-Liang Yang,

Peter Hall; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Xiao-Chang and Yang, Yong-Liang and Hall, Peter}, title = {Learning To Warp for Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3702-3711} }
Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings: Brett D. Roads,

Bradley C. Love; [pdf] [arXiv]
[bibtex]
@InProceedings{Roads_2021_CVPR, author = {Roads, Brett D. and Love, Bradley C.}, title = {Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3547-3557} }
What's in the Image? Explorable Decoding of Compressed Images: Yuval Bahat,

Tomer Michaeli; [pdf] [supp]
[bibtex]
@InProceedings{Bahat_2021_CVPR, author = {Bahat, Yuval and Michaeli, Tomer}, title = {What's in the Image? Explorable Decoding of Compressed Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2908-2917} }
Context Modeling in 3D Human Pose Estimation: A Unified Perspective: Xiaoxuan Ma,

Jiajun Su,

Chunyu Wang,

Hai Ci,

Yizhou Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Ma_2021_CVPR, author = {Ma, Xiaoxuan and Su, Jiajun and Wang, Chunyu and Ci, Hai and Wang, Yizhou}, title = {Context Modeling in 3D Human Pose Estimation: A Unified Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6238-6247} }
Consensus Maximisation Using Influences of Monotone Boolean Functions: Ruwan Tennakoon,

David Suter,

Erchuan Zhang,

Tat-Jun Chin,

Alireza Bab-Hadiashar; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tennakoon_2021_CVPR, author = {Tennakoon, Ruwan and Suter, David and Zhang, Erchuan and Chin, Tat-Jun and Bab-Hadiashar, Alireza}, title = {Consensus Maximisation Using Influences of Monotone Boolean Functions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2866-2875} }
Learning Cross-Modal Retrieval With Noisy Labels: Peng Hu,

Xi Peng,

Hongyuan Zhu,

Liangli Zhen,

Jie Lin; [pdf] [supp]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Peng and Peng, Xi and Zhu, Hongyuan and Zhen, Liangli and Lin, Jie}, title = {Learning Cross-Modal Retrieval With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5403-5413} }
Animating Pictures With Eulerian Motion Fields: Aleksander Holynski,

Brian L. Curless,

Steven M. Seitz,

Richard Szeliski; [pdf] [arXiv]
[bibtex]
@InProceedings{Holynski_2021_CVPR, author = {Holynski, Aleksander and Curless, Brian L. and Seitz, Steven M. and Szeliski, Richard}, title = {Animating Pictures With Eulerian Motion Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5810-5819} }
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning: Jongwon Choi,

Kwang Moo Yi,

Jihoon Kim,

Jinho Choo,

Byoungjip Kim,

Jinyeop Chang,

Youngjune Gwon,

Hyung Jin Chang; [pdf] [supp]
[bibtex]
@InProceedings{Choi_2021_CVPR, author = {Choi, Jongwon and Yi, Kwang Moo and Kim, Jihoon and Choo, Jinho and Kim, Byoungjip and Chang, Jinyeop and Gwon, Youngjune and Chang, Hyung Jin}, title = {VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6749-6758} }
DG-Font: Deformable Generative Networks for Unsupervised Font Generation: Yangchen Xie,

Xinyuan Chen,

Li Sun,

Yue Lu; [pdf] [supp]
[bibtex]
@InProceedings{Xie_2021_CVPR, author = {Xie, Yangchen and Chen, Xinyuan and Sun, Li and Lu, Yue}, title = {DG-Font: Deformable Generative Networks for Unsupervised Font Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5130-5140} }
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction: John Phillips,

Julieta Martinez,

Ioan Andrei Barsan,

Sergio Casas,

Abbas Sadat,

Raquel Urtasun; [pdf] [arXiv]
[bibtex]
@InProceedings{Phillips_2021_CVPR, author = {Phillips, John and Martinez, Julieta and Barsan, Ioan Andrei and Casas, Sergio and Sadat, Abbas and Urtasun, Raquel}, title = {Deep Multi-Task Learning for Joint Localization, Perception, and Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4679-4689} }
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps: Lu Mi,

Hang Zhao,

Charlie Nash,

Xiaohan Jin,

Jiyang Gao,

Chen Sun,

Cordelia Schmid,

Nir Shavit,

Yuning Chai,

Dragomir Anguelov; [pdf] [supp]
[bibtex]
@InProceedings{Mi_2021_CVPR, author = {Mi, Lu and Zhao, Hang and Nash, Charlie and Jin, Xiaohan and Gao, Jiyang and Sun, Chen and Schmid, Cordelia and Shavit, Nir and Chai, Yuning and Anguelov, Dragomir}, title = {HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4227-4236} }
Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators: Wenda Zhao,

Cai Shang,

Huchuan Lu; [pdf]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Wenda and Shang, Cai and Lu, Huchuan}, title = {Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6933-6942} }
View Generalization for Single Image Textured 3D Models: Anand Bhattad,

Aysegul Dundar,

Guilin Liu,

Andrew Tao,

Bryan Catanzaro; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bhattad_2021_CVPR, author = {Bhattad, Anand and Dundar, Aysegul and Liu, Guilin and Tao, Andrew and Catanzaro, Bryan}, title = {View Generalization for Single Image Textured 3D Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6081-6090} }
Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner: Chong Yu; [pdf] [supp]
[bibtex]
@InProceedings{Yu_2021_CVPR, author = {Yu, Chong}, title = {Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3589-3598} }
3D Human Action Representation Learning via Cross-View Consistency Pursuit: Linguo Li,

Minsi Wang,

Bingbing Ni,

Hang Wang,

Jiancheng Yang,

Wenjun Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Linguo and Wang, Minsi and Ni, Bingbing and Wang, Hang and Yang, Jiancheng and Zhang, Wenjun}, title = {3D Human Action Representation Learning via Cross-View Consistency Pursuit}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4741-4750} }
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition: Chun-Fu Richard Chen,

Rameswar Panda,

Kandan Ramakrishnan,

Rogerio Feris,

John Cohn,

Aude Oliva,

Quanfu Fan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Chun-Fu Richard and Panda, Rameswar and Ramakrishnan, Kandan and Feris, Rogerio and Cohn, John and Oliva, Aude and Fan, Quanfu}, title = {Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6165-6175} }
Part-Aware Panoptic Segmentation: Daan de Geus,

Panagiotis Meletis,

Chenyang Lu,

Xiaoxiao Wen,

Gijs Dubbelman; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{de_Geus_2021_CVPR, author = {de Geus, Daan and Meletis, Panagiotis and Lu, Chenyang and Wen, Xiaoxiao and Dubbelman, Gijs}, title = {Part-Aware Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5485-5494} }
Convolutional Hough Matching Networks: Juhong Min,

Minsu Cho; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Min_2021_CVPR, author = {Min, Juhong and Cho, Minsu}, title = {Convolutional Hough Matching Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2940-2950} }
Dynamic Class Queue for Large Scale Face Recognition in the Wild: Bi Li,

Teng Xi,

Gang Zhang,

Haocheng Feng,

Junyu Han,

Jingtuo Liu,

Errui Ding,

Wenyu Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Bi and Xi, Teng and Zhang, Gang and Feng, Haocheng and Han, Junyu and Liu, Jingtuo and Ding, Errui and Liu, Wenyu}, title = {Dynamic Class Queue for Large Scale Face Recognition in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3763-3772} }
Cross-Modal Center Loss for 3D Cross-Modal Retrieval: Longlong Jing,

Elahe Vahdani,

Jiaxing Tan,

Yingli Tian; [pdf]
[bibtex]
@InProceedings{Jing_2021_CVPR, author = {Jing, Longlong and Vahdani, Elahe and Tan, Jiaxing and Tian, Yingli}, title = {Cross-Modal Center Loss for 3D Cross-Modal Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3142-3151} }
Learned Initializations for Optimizing Coordinate-Based Neural Representations: Matthew Tancik,

Ben Mildenhall,

Terrance Wang,

Divi Schmidt,

Pratul P. Srinivasan,

Jonathan T. Barron,

Ren Ng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tancik_2021_CVPR, author = {Tancik, Matthew and Mildenhall, Ben and Wang, Terrance and Schmidt, Divi and Srinivasan, Pratul P. and Barron, Jonathan T. and Ng, Ren}, title = {Learned Initializations for Optimizing Coordinate-Based Neural Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2846-2855} }
Depth-Aware Mirror Segmentation: Haiyang Mei,

Bo Dong,

Wen Dong,

Pieter Peers,

Xin Yang,

Qiang Zhang,

Xiaopeng Wei; [pdf] [supp]
[bibtex]
@InProceedings{Mei_2021_CVPR, author = {Mei, Haiyang and Dong, Bo and Dong, Wen and Peers, Pieter and Yang, Xin and Zhang, Qiang and Wei, Xiaopeng}, title = {Depth-Aware Mirror Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3044-3053} }
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search: Yibo Yang,

Shan You,

Hongyang Li,

Fei Wang,

Chen Qian,

Zhouchen Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Yibo and You, Shan and Li, Hongyang and Wang, Fei and Qian, Chen and Lin, Zhouchen}, title = {Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6667-6676} }
Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning: Zilong Zheng,

Jianwen Xie,

Ping Li; [pdf] [supp]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Zilong and Xie, Jianwen and Li, Ping}, title = {Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2961-2970} }
Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation: Tianrui Hui,

Shaofei Huang,

Si Liu,

Zihan Ding,

Guanbin Li,

Wenguan Wang,

Jizhong Han,

Fei Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hui_2021_CVPR, author = {Hui, Tianrui and Huang, Shaofei and Liu, Si and Ding, Zihan and Li, Guanbin and Wang, Wenguan and Han, Jizhong and Wang, Fei}, title = {Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4187-4196} }
Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer: Tianwei Lin,

Zhuoqi Ma,

Fu Li,

Dongliang He,

Xin Li,

Errui Ding,

Nannan Wang,

Jie Li,

Xinbo Gao; [pdf] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Tianwei and Ma, Zhuoqi and Li, Fu and He, Dongliang and Li, Xin and Ding, Errui and Wang, Nannan and Li, Jie and Gao, Xinbo}, title = {Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5141-5150} }
Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images: Haolin Liu,

Anran Lin,

Xiaoguang Han,

Lei Yang,

Yizhou Yu,

Shuguang Cui; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Haolin and Lin, Anran and Han, Xiaoguang and Yang, Lei and Yu, Yizhou and Cui, Shuguang}, title = {Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6032-6041} }
Polygonal Building Extraction by Frame Field Learning: Nicolas Girard,

Dmitriy Smirnov,

Justin Solomon,

Yuliya Tarabalka; [pdf] [supp]
[bibtex]
@InProceedings{Girard_2021_CVPR, author = {Girard, Nicolas and Smirnov, Dmitriy and Solomon, Justin and Tarabalka, Yuliya}, title = {Polygonal Building Extraction by Frame Field Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5891-5900} }
NeuralFusion: Online Depth Fusion in Latent Space: Silvan Weder,

Johannes L. Schonberger,

Marc Pollefeys,

Martin R. Oswald; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Weder_2021_CVPR, author = {Weder, Silvan and Schonberger, Johannes L. and Pollefeys, Marc and Oswald, Martin R.}, title = {NeuralFusion: Online Depth Fusion in Latent Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3162-3172} }
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets: Yuan-Hong Liao,

Amlan Kar,

Sanja Fidler; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liao_2021_CVPR, author = {Liao, Yuan-Hong and Kar, Amlan and Fidler, Sanja}, title = {Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4350-4359} }
MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers: Huiyu Wang,

Yukun Zhu,

Hartwig Adam,

Alan Yuille,

Liang-Chieh Chen; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Huiyu and Zhu, Yukun and Adam, Hartwig and Yuille, Alan and Chen, Liang-Chieh}, title = {MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5463-5474} }
Denoise and Contrast for Category Agnostic Shape Completion: Antonio Alliegro,

Diego Valsesia,

Giulia Fracastoro,

Enrico Magli,

Tatiana Tommasi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Alliegro_2021_CVPR, author = {Alliegro, Antonio and Valsesia, Diego and Fracastoro, Giulia and Magli, Enrico and Tommasi, Tatiana}, title = {Denoise and Contrast for Category Agnostic Shape Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4629-4638} }
Transformation Invariant Few-Shot Object Detection: Aoxue Li,

Zhenguo Li; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Aoxue and Li, Zhenguo}, title = {Transformation Invariant Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3094-3102} }
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition: Hengduo Li,

Zuxuan Wu,

Abhinav Shrivastava,

Larry S. Davis; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Hengduo and Wu, Zuxuan and Shrivastava, Abhinav and Davis, Larry S.}, title = {2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6155-6164} }
Temporal Query Networks for Fine-Grained Video Understanding: Chuhan Zhang,

Ankush Gupta,

Andrew Zisserman; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Chuhan and Gupta, Ankush and Zisserman, Andrew}, title = {Temporal Query Networks for Fine-Grained Video Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4486-4496} }
UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation: Siddhesh Khandelwal,

Raghav Goyal,

Leonid Sigal; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Khandelwal_2021_CVPR, author = {Khandelwal, Siddhesh and Goyal, Raghav and Sigal, Leonid}, title = {UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5951-5961} }
Image Inpainting Guided by Coherence Priors of Semantics and Textures: Liang Liao,

Jing Xiao,

Zheng Wang,

Chia-Wen Lin,

Shin'ichi Satoh; [pdf] [arXiv]
[bibtex]
@InProceedings{Liao_2021_CVPR, author = {Liao, Liang and Xiao, Jing and Wang, Zheng and Lin, Chia-Wen and Satoh, Shin'ichi}, title = {Image Inpainting Guided by Coherence Priors of Semantics and Textures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6539-6548} }
Face Forensics in the Wild: Tianfei Zhou,

Wenguan Wang,

Zhiyuan Liang,

Jianbing Shen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Tianfei and Wang, Wenguan and Liang, Zhiyuan and Shen, Jianbing}, title = {Face Forensics in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5778-5788} }
Riggable 3D Face Reconstruction via In-Network Optimization: Ziqian Bai,

Zhaopeng Cui,

Xiaoming Liu,

Ping Tan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bai_2021_CVPR, author = {Bai, Ziqian and Cui, Zhaopeng and Liu, Xiaoming and Tan, Ping}, title = {Riggable 3D Face Reconstruction via In-Network Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6216-6225} }
S2R-DepthNet: Learning a Generalizable Depth-Specific Structural Representation: Xiaotian Chen,

Yuwang Wang,

Xuejin Chen,

Wenjun Zeng; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Xiaotian and Wang, Yuwang and Chen, Xuejin and Zeng, Wenjun}, title = {S2R-DepthNet: Learning a Generalizable Depth-Specific Structural Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3034-3043} }
FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation: Yisheng He,

Haibin Huang,

Haoqiang Fan,

Qifeng Chen,

Jian Sun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2021_CVPR, author = {He, Yisheng and Huang, Haibin and Fan, Haoqiang and Chen, Qifeng and Sun, Jian}, title = {FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3003-3013} }
Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans: Zhenyu Chen,

Ali Gholami,

Matthias Niessner,

Angel X. Chang; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Zhenyu and Gholami, Ali and Niessner, Matthias and Chang, Angel X.}, title = {Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3193-3203} }
NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering Using RGB Cameras: Xin Suo,

Yuheng Jiang,

Pei Lin,

Yingliang Zhang,

Minye Wu,

Kaiwen Guo,

Lan Xu; [pdf] [arXiv]
[bibtex]
@InProceedings{Suo_2021_CVPR, author = {Suo, Xin and Jiang, Yuheng and Lin, Pei and Zhang, Yingliang and Wu, Minye and Guo, Kaiwen and Xu, Lan}, title = {NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering Using RGB Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6226-6237} }
Composing Photos Like a Photographer: Chaoyi Hong,

Shuaiyuan Du,

Ke Xian,

Hao Lu,

Zhiguo Cao,

Weicai Zhong; [pdf] [supp]
[bibtex]
@InProceedings{Hong_2021_CVPR, author = {Hong, Chaoyi and Du, Shuaiyuan and Xian, Ke and Lu, Hao and Cao, Zhiguo and Zhong, Weicai}, title = {Composing Photos Like a Photographer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7057-7066} }
NBNet: Noise Basis Learning for Image Denoising With Subspace Projection: Shen Cheng,

Yuzhi Wang,

Haibin Huang,

Donghao Liu,

Haoqiang Fan,

Shuaicheng Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Cheng_2021_CVPR, author = {Cheng, Shen and Wang, Yuzhi and Huang, Haibin and Liu, Donghao and Fan, Haoqiang and Liu, Shuaicheng}, title = {NBNet: Noise Basis Learning for Image Denoising With Subspace Projection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4896-4906} }
How Transferable Are Reasoning Patterns in VQA?: Corentin Kervadec,

Theo Jaunet,

Grigory Antipov,

Moez Baccouche,

Romain Vuillemot,

Christian Wolf; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kervadec_2021_CVPR, author = {Kervadec, Corentin and Jaunet, Theo and Antipov, Grigory and Baccouche, Moez and Vuillemot, Romain and Wolf, Christian}, title = {How Transferable Are Reasoning Patterns in VQA?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4207-4216} }
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping: Yanchao Yang,

Brian Lai,

Stefano Soatto; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Yanchao and Lai, Brian and Soatto, Stefano}, title = {DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2826-2836} }
Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity: Zhile Chen,

Feng Li,

Yuhui Quan,

Yong Xu,

Hui Ji; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Zhile and Li, Feng and Quan, Yuhui and Xu, Yong and Ji, Hui}, title = {Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5231-5240} }
Lifting 2D StyleGAN for 3D-Aware Face Generation: Yichun Shi,

Divyansh Aggarwal,

Anil K. Jain; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shi_2021_CVPR, author = {Shi, Yichun and Aggarwal, Divyansh and Jain, Anil K.}, title = {Lifting 2D StyleGAN for 3D-Aware Face Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6258-6266} }
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection: Vibashan VS,

Vikram Gupta,

Poojan Oza,

Vishwanath A. Sindagi,

Vishal M. Patel; [pdf] [supp]
[bibtex]
@InProceedings{VS_2021_CVPR, author = {VS, Vibashan and Gupta, Vikram and Oza, Poojan and Sindagi, Vishwanath A. and Patel, Vishal M.}, title = {MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4516-4526} }
Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model: Ben Moseley,

Valentin Bickel,

Ignacio G. Lopez-Francos,

Loveneesh Rana; [pdf] [supp]
[bibtex]
@InProceedings{Moseley_2021_CVPR, author = {Moseley, Ben and Bickel, Valentin and Lopez-Francos, Ignacio G. and Rana, Loveneesh}, title = {Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6317-6327} }
Generic Perceptual Loss for Modeling Structured Output Dependencies: Yifan Liu,

Hao Chen,

Yu Chen,

Wei Yin,

Chunhua Shen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yifan and Chen, Hao and Chen, Yu and Yin, Wei and Shen, Chunhua}, title = {Generic Perceptual Loss for Modeling Structured Output Dependencies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5424-5432} }
Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion: Chulin Xie,

Chuxin Wang,

Bo Zhang,

Hao Yang,

Dong Chen,

Fang Wen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xie_2021_CVPR, author = {Xie, Chulin and Wang, Chuxin and Zhang, Bo and Yang, Hao and Chen, Dong and Wen, Fang}, title = {Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4619-4628} }
Shape and Material Capture at Home: Daniel Lichy,

Jiaye Wu,

Soumyadip Sengupta,

David W. Jacobs; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lichy_2021_CVPR, author = {Lichy, Daniel and Wu, Jiaye and Sengupta, Soumyadip and Jacobs, David W.}, title = {Shape and Material Capture at Home}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6123-6133} }
T-vMF Similarity for Regularizing Intra-Class Feature Distribution: Takumi Kobayashi; [pdf] [supp]
[bibtex]
@InProceedings{Kobayashi_2021_CVPR, author = {Kobayashi, Takumi}, title = {T-vMF Similarity for Regularizing Intra-Class Feature Distribution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6616-6625} }
Surrogate Gradient Field for Latent Space Manipulation: Minjun Li,

Yanghua Jin,

Huachun Zhu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Minjun and Jin, Yanghua and Zhu, Huachun}, title = {Surrogate Gradient Field for Latent Space Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6529-6538} }
ZeroScatter: Domain Transfer for Long Distance Imaging and Vision Through Scattering Media: Zheng Shi,

Ethan Tseng,

Mario Bijelic,

Werner Ritter,

Felix Heide; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shi_2021_CVPR, author = {Shi, Zheng and Tseng, Ethan and Bijelic, Mario and Ritter, Werner and Heide, Felix}, title = {ZeroScatter: Domain Transfer for Long Distance Imaging and Vision Through Scattering Media}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3476-3486} }
Defending Multimodal Fusion Models Against Single-Source Adversaries: Karren Yang,

Wan-Yi Lin,

Manash Barman,

Filipe Condessa,

Zico Kolter; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Karren and Lin, Wan-Yi and Barman, Manash and Condessa, Filipe and Kolter, Zico}, title = {Defending Multimodal Fusion Models Against Single-Source Adversaries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3340-3349} }
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging: Alvaro Parra,

Shin-Fang Chng,

Tat-Jun Chin,

Anders Eriksson,

Ian Reid; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Parra_2021_CVPR, author = {Parra, Alvaro and Chng, Shin-Fang and Chin, Tat-Jun and Eriksson, Anders and Reid, Ian}, title = {Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4298-4307} }
We Are More Than Our Joints: Predicting How 3D Bodies Move: Yan Zhang,

Michael J. Black,

Siyu Tang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yan and Black, Michael J. and Tang, Siyu}, title = {We Are More Than Our Joints: Predicting How 3D Bodies Move}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3372-3382} }
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation: Xiangtai Li,

Hao He,

Xia Li,

Duo Li,

Guangliang Cheng,

Jianping Shi,

Lubin Weng,

Yunhai Tong,

Zhouchen Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Xiangtai and He, Hao and Li, Xia and Li, Duo and Cheng, Guangliang and Shi, Jianping and Weng, Lubin and Tong, Yunhai and Lin, Zhouchen}, title = {PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4217-4226} }
Deep Stable Learning for Out-of-Distribution Generalization: Xingxuan Zhang,

Peng Cui,

Renzhe Xu,

Linjun Zhou,

Yue He,

Zheyan Shen; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xingxuan and Cui, Peng and Xu, Renzhe and Zhou, Linjun and He, Yue and Shen, Zheyan}, title = {Deep Stable Learning for Out-of-Distribution Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5372-5382} }
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting: Ayan Kumar Bhunia,

Pinaki Nath Chowdhury,

Yongxin Yang,

Timothy M. Hospedales,

Tao Xiang,

Yi-Zhe Song; [pdf] [arXiv]
[bibtex]
@InProceedings{Bhunia_2021_CVPR, author = {Bhunia, Ayan Kumar and Chowdhury, Pinaki Nath and Yang, Yongxin and Hospedales, Timothy M. and Xiang, Tao and Song, Yi-Zhe}, title = {Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5672-5681} }
Progressive Unsupervised Learning for Visual Object Tracking: Qiangqiang Wu,

Jia Wan,

Antoni B. Chan; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Qiangqiang and Wan, Jia and Chan, Antoni B.}, title = {Progressive Unsupervised Learning for Visual Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2993-3002} }
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking: Shuai Jia,

Yibing Song,

Chao Ma,

Xiaokang Yang; [pdf] [arXiv]
[bibtex]
@InProceedings{Jia_2021_CVPR, author = {Jia, Shuai and Song, Yibing and Ma, Chao and Yang, Xiaokang}, title = {IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6709-6718} }
Deep Graph Matching Under Quadratic Constraint: Quankai Gao,

Fudong Wang,

Nan Xue,

Jin-Gang Yu,

Gui-Song Xia; [pdf] [arXiv]
[bibtex]
@InProceedings{Gao_2021_CVPR, author = {Gao, Quankai and Wang, Fudong and Xue, Nan and Yu, Jin-Gang and Xia, Gui-Song}, title = {Deep Graph Matching Under Quadratic Constraint}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5069-5078} }
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise: Jaeseok Byun,

Sungmin Cha,

Taesup Moon; [pdf] [supp]
[bibtex]
@InProceedings{Byun_2021_CVPR, author = {Byun, Jaeseok and Cha, Sungmin and Moon, Taesup}, title = {FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5768-5777} }
Line Segment Detection Using Transformers Without Edges: Yifan Xu,

Weijian Xu,

David Cheung,

Zhuowen Tu; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Yifan and Xu, Weijian and Cheung, David and Tu, Zhuowen}, title = {Line Segment Detection Using Transformers Without Edges}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4257-4266} }
Diffusion Probabilistic Models for 3D Point Cloud Generation: Shitong Luo,

Wei Hu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Shitong and Hu, Wei}, title = {Diffusion Probabilistic Models for 3D Point Cloud Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2837-2845} }
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration: Liyuan Pan,

Shah Chowdhury,

Richard Hartley,

Miaomiao Liu,

Hongguang Zhang,

Hongdong Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Pan_2021_CVPR, author = {Pan, Liyuan and Chowdhury, Shah and Hartley, Richard and Liu, Miaomiao and Zhang, Hongguang and Li, Hongdong}, title = {Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4340-4349} }
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise: Andrei Kapishnikov,

Subhashini Venugopalan,

Besim Avci,

Ben Wedin,

Michael Terry,

Tolga Bolukbasi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kapishnikov_2021_CVPR, author = {Kapishnikov, Andrei and Venugopalan, Subhashini and Avci, Besim and Wedin, Ben and Terry, Michael and Bolukbasi, Tolga}, title = {Guided Integrated Gradients: An Adaptive Path Method for Removing Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5050-5058} }
Spatiotemporal Registration for Event-Based Visual Odometry: Daqi Liu,

Alvaro Parra,

Tat-Jun Chin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Daqi and Parra, Alvaro and Chin, Tat-Jun}, title = {Spatiotemporal Registration for Event-Based Visual Odometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4937-4946} }
Data-Free Model Extraction: Jean-Baptiste Truong,

Pratyush Maini,

Robert J. Walls,

Nicolas Papernot; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Truong_2021_CVPR, author = {Truong, Jean-Baptiste and Maini, Pratyush and Walls, Robert J. and Papernot, Nicolas}, title = {Data-Free Model Extraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4771-4780} }
Group-aware Label Transfer for Domain Adaptive Person Re-identification: Kecheng Zheng,

Wu Liu,

Lingxiao He,

Tao Mei,

Jiebo Luo,

Zheng-Jun Zha; [pdf] [arXiv]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Kecheng and Liu, Wu and He, Lingxiao and Mei, Tao and Luo, Jiebo and Zha, Zheng-Jun}, title = {Group-aware Label Transfer for Domain Adaptive Person Re-identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5310-5319} }
Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification: Qiong Wu,

Pingyang Dai,

Jie Chen,

Chia-Wen Lin,

Yongjian Wu,

Feiyue Huang,

Bineng Zhong,

Rongrong Ji; [pdf]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Qiong and Dai, Pingyang and Chen, Jie and Lin, Chia-Wen and Wu, Yongjian and Huang, Feiyue and Zhong, Bineng and Ji, Rongrong}, title = {Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4330-4339} }
Learnable Graph Matching: Incorporating Graph Partitioning With Deep Feature Learning for Multiple Object Tracking: Jiawei He,

Zehao Huang,

Naiyan Wang,

Zhaoxiang Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2021_CVPR, author = {He, Jiawei and Huang, Zehao and Wang, Naiyan and Zhang, Zhaoxiang}, title = {Learnable Graph Matching: Incorporating Graph Partitioning With Deep Feature Learning for Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5299-5309} }
A Decomposition Model for Stereo Matching: Chengtang Yao,

Yunde Jia,

Huijun Di,

Pengxiang Li,

Yuwei Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yao_2021_CVPR, author = {Yao, Chengtang and Jia, Yunde and Di, Huijun and Li, Pengxiang and Wu, Yuwei}, title = {A Decomposition Model for Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6091-6100} }
Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels: Mingda Zhang,

Tristan Maidment,

Ahmad Diab,

Adriana Kovashka,

Rebecca Hwa; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Mingda and Maidment, Tristan and Diab, Ahmad and Kovashka, Adriana and Hwa, Rebecca}, title = {Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7046-7056} }
Effective Sparsification of Neural Networks With Global Sparsity Constraint: Xiao Zhou,

Weizhong Zhang,

Hang Xu,

Tong Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Xiao and Zhang, Weizhong and Xu, Hang and Zhang, Tong}, title = {Effective Sparsification of Neural Networks With Global Sparsity Constraint}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3599-3608} }
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation: Zhekai Du,

Jingjing Li,

Hongzu Su,

Lei Zhu,

Ke Lu; [pdf] [arXiv]
[bibtex]
@InProceedings{Du_2021_CVPR, author = {Du, Zhekai and Li, Jingjing and Su, Hongzu and Zhu, Lei and Lu, Ke}, title = {Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3937-3946} }
Training Generative Adversarial Networks in One Stage: Chengchao Shen,

Youtan Yin,

Xinchao Wang,

Xubin Li,

Jie Song,

Mingli Song; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shen_2021_CVPR, author = {Shen, Chengchao and Yin, Youtan and Wang, Xinchao and Li, Xubin and Song, Jie and Song, Mingli}, title = {Training Generative Adversarial Networks in One Stage}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3350-3360} }
Neural Lumigraph Rendering: Petr Kellnhofer,

Lars C. Jebe,

Andrew Jones,

Ryan Spicer,

Kari Pulli,

Gordon Wetzstein; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kellnhofer_2021_CVPR, author = {Kellnhofer, Petr and Jebe, Lars C. and Jones, Andrew and Spicer, Ryan and Pulli, Kari and Wetzstein, Gordon}, title = {Neural Lumigraph Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4287-4297} }
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-Training: Minheng Ni,

Haoyang Huang,

Lin Su,

Edward Cui,

Taroon Bharti,

Lijuan Wang,

Dongdong Zhang,

Nan Duan; [pdf] [arXiv]
[bibtex]
@InProceedings{Ni_2021_CVPR, author = {Ni, Minheng and Huang, Haoyang and Su, Lin and Cui, Edward and Bharti, Taroon and Wang, Lijuan and Zhang, Dongdong and Duan, Nan}, title = {M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3977-3986} }
Blind Deblurring for Saturated Images: Liang Chen,

Jiawei Zhang,

Songnan Lin,

Faming Fang,

Jimmy S. Ren; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Liang and Zhang, Jiawei and Lin, Songnan and Fang, Faming and Ren, Jimmy S.}, title = {Blind Deblurring for Saturated Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6308-6316} }
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects: Denys Rozumnyi,

Martin R. Oswald,

Vittorio Ferrari,

Jiri Matas,

Marc Pollefeys; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Rozumnyi_2021_CVPR, author = {Rozumnyi, Denys and Oswald, Martin R. and Ferrari, Vittorio and Matas, Jiri and Pollefeys, Marc}, title = {DeFMO: Deblurring and Shape Recovery of Fast Moving Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3456-3465} }
4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis: Weihang Liao,

Art Subpa-asa,

Yinqiang Zheng,

Imari Sato; [pdf] [supp]
[bibtex]
@InProceedings{Liao_2021_CVPR, author = {Liao, Weihang and Subpa-asa, Art and Zheng, Yinqiang and Sato, Imari}, title = {4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4598-4607} }
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning: Spyros Gidaris,

Andrei Bursuc,

Gilles Puy,

Nikos Komodakis,

Matthieu Cord,

Patrick Perez; [pdf] [supp]
[bibtex]
@InProceedings{Gidaris_2021_CVPR, author = {Gidaris, Spyros and Bursuc, Andrei and Puy, Gilles and Komodakis, Nikos and Cord, Matthieu and Perez, Patrick}, title = {OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6830-6840} }
Point2Skeleton: Learning Skeletal Representations from Point Clouds: Cheng Lin,

Changjian Li,

Yuan Liu,

Nenglun Chen,

Yi-King Choi,

Wenping Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Cheng and Li, Changjian and Liu, Yuan and Chen, Nenglun and Choi, Yi-King and Wang, Wenping}, title = {Point2Skeleton: Learning Skeletal Representations from Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4277-4286} }
Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling: Yan-Cheng Huang,

Yi-Hsin Chen,

Cheng-You Lu,

Hui-Po Wang,

Wen-Hsiao Peng,

Ching-Chun Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Yan-Cheng and Chen, Yi-Hsin and Lu, Cheng-You and Wang, Hui-Po and Peng, Wen-Hsiao and Huang, Ching-Chun}, title = {Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3527-3536} }
TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation: Lingming Zhang,

Yue Zhao,

Deyu Meng,

Zhiming Cui,

Chenqiang Gao,

Xinbo Gao,

Chunfeng Lian,

Dinggang Shen; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Lingming and Zhao, Yue and Meng, Deyu and Cui, Zhiming and Gao, Chenqiang and Gao, Xinbo and Lian, Chunfeng and Shen, Dinggang}, title = {TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6699-6708} }
Meta Batch-Instance Normalization for Generalizable Person Re-Identification: Seokeon Choi,

Taekyung Kim,

Minki Jeong,

Hyoungseob Park,

Changick Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Choi_2021_CVPR, author = {Choi, Seokeon and Kim, Taekyung and Jeong, Minki and Park, Hyoungseob and Kim, Changick}, title = {Meta Batch-Instance Normalization for Generalizable Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3425-3435} }
Wide-Baseline Relative Camera Pose Estimation With Directional Learning: Kefan Chen,

Noah Snavely,

Ameesh Makadia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Kefan and Snavely, Noah and Makadia, Ameesh}, title = {Wide-Baseline Relative Camera Pose Estimation With Directional Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3258-3268} }
Neural Surface Maps: Luca Morreale,

Noam Aigerman,

Vladimir G. Kim,

Niloy J. Mitra; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Morreale_2021_CVPR, author = {Morreale, Luca and Aigerman, Noam and Kim, Vladimir G. and Mitra, Niloy J.}, title = {Neural Surface Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4639-4648} }
Where and What? Examining Interpretable Disentangled Representations: Xinqi Zhu,

Chang Xu,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Xinqi and Xu, Chang and Tao, Dacheng}, title = {Where and What? Examining Interpretable Disentangled Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5861-5870} }
Bilinear Parameterization for Non-Separable Singular Value Penalties: Marcus Valtonen Ornhag,

Jose Pedro Iglesias,

Carl Olsson; [pdf] [supp]
[bibtex]
@InProceedings{Ornhag_2021_CVPR, author = {Ornhag, Marcus Valtonen and Iglesias, Jose Pedro and Olsson, Carl}, title = {Bilinear Parameterization for Non-Separable Singular Value Penalties}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3897-3906} }
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning: Christoph Feichtenhofer,

Haoqi Fan,

Bo Xiong,

Ross Girshick,

Kaiming He; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Feichtenhofer_2021_CVPR, author = {Feichtenhofer, Christoph and Fan, Haoqi and Xiong, Bo and Girshick, Ross and He, Kaiming}, title = {A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3299-3309} }
Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection: Jiaming Li,

Hongtao Xie,

Jiahong Li,

Zhongyuan Wang,

Yongdong Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Jiaming and Xie, Hongtao and Li, Jiahong and Wang, Zhongyuan and Zhang, Yongdong}, title = {Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6458-6467} }
Delving Into Localization Errors for Monocular 3D Object Detection: Xinzhu Ma,

Yinmin Zhang,

Dan Xu,

Dongzhan Zhou,

Shuai Yi,

Haojie Li,

Wanli Ouyang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ma_2021_CVPR, author = {Ma, Xinzhu and Zhang, Yinmin and Xu, Dan and Zhou, Dongzhan and Yi, Shuai and Li, Haojie and Ouyang, Wanli}, title = {Delving Into Localization Errors for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4721-4730} }
Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales: Yifan Sun,

Yuke Zhu,

Yuhan Zhang,

Pengkun Zheng,

Xi Qiu,

Chi Zhang,

Yichen Wei; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Yifan and Zhu, Yuke and Zhang, Yuhan and Zheng, Pengkun and Qiu, Xi and Zhang, Chi and Wei, Yichen}, title = {Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5393-5402} }
Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI: Yohan Jun,

Hyungseob Shin,

Taejoon Eo,

Dosik Hwang; [pdf]
[bibtex]
@InProceedings{Jun_2021_CVPR, author = {Jun, Yohan and Shin, Hyungseob and Eo, Taejoon and Hwang, Dosik}, title = {Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5270-5279} }
SelfDoc: Self-Supervised Document Representation Learning: Peizhao Li,

Jiuxiang Gu,

Jason Kuen,

Vlad I. Morariu,

Handong Zhao,

Rajiv Jain,

Varun Manjunatha,

Hongfu Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Peizhao and Gu, Jiuxiang and Kuen, Jason and Morariu, Vlad I. and Zhao, Handong and Jain, Rajiv and Manjunatha, Varun and Liu, Hongfu}, title = {SelfDoc: Self-Supervised Document Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5652-5660} }
VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild: Jiaxu Miao,

Yunchao Wei,

Yu Wu,

Chen Liang,

Guangrui Li,

Yi Yang; [pdf] [supp]
[bibtex]
@InProceedings{Miao_2021_CVPR, author = {Miao, Jiaxu and Wei, Yunchao and Wu, Yu and Liang, Chen and Li, Guangrui and Yang, Yi}, title = {VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4133-4143} }
Decoupled Dynamic Filter Networks: Jingkai Zhou,

Varun Jampani,

Zhixiong Pi,

Qiong Liu,

Ming-Hsuan Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Jingkai and Jampani, Varun and Pi, Zhixiong and Liu, Qiong and Yang, Ming-Hsuan}, title = {Decoupled Dynamic Filter Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6647-6656} }
Prototype Augmentation and Self-Supervision for Incremental Learning: Fei Zhu,

Xu-Yao Zhang,

Chuang Wang,

Fei Yin,

Cheng-Lin Liu; [pdf]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Fei and Zhang, Xu-Yao and Wang, Chuang and Yin, Fei and Liu, Cheng-Lin}, title = {Prototype Augmentation and Self-Supervision for Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5871-5880} }
CompositeTasking: Understanding Images by Spatial Composition of Tasks: Nikola Popovic,

Danda Pani Paudel,

Thomas Probst,

Guolei Sun,

Luc Van Gool; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Popovic_2021_CVPR, author = {Popovic, Nikola and Paudel, Danda Pani and Probst, Thomas and Sun, Guolei and Van Gool, Luc}, title = {CompositeTasking: Understanding Images by Spatial Composition of Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6870-6880} }
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network: Aupendu Kar,

Prabir Kumar Biswas; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kar_2021_CVPR, author = {Kar, Aupendu and Biswas, Prabir Kumar}, title = {Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4957-4966} }
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers: Apratim Bhattacharyya,

Daniel Olmeda Reino,

Mario Fritz,

Bernt Schiele; [pdf] [supp]
[bibtex]
@InProceedings{Bhattacharyya_2021_CVPR, author = {Bhattacharyya, Apratim and Reino, Daniel Olmeda and Fritz, Mario and Schiele, Bernt}, title = {Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6408-6417} }
An Alternative Probabilistic Interpretation of the Huber Loss: Gregory P. Meyer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Meyer_2021_CVPR, author = {Meyer, Gregory P.}, title = {An Alternative Probabilistic Interpretation of the Huber Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5261-5269} }
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers: Qi Feng,

Vitaly Ablavsky,

Qinxun Bai,

Stan Sclaroff; [pdf] [arXiv]
[bibtex]
@InProceedings{Feng_2021_CVPR, author = {Feng, Qi and Ablavsky, Vitaly and Bai, Qinxun and Sclaroff, Stan}, title = {Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5851-5860} }
Video Prediction Recalling Long-Term Motion Context via Memory Alignment Learning: Sangmin Lee,

Hak Gu Kim,

Dae Hwi Choi,

Hyung-Il Kim,

Yong Man Ro; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Sangmin and Kim, Hak Gu and Choi, Dae Hwi and Kim, Hyung-Il and Ro, Yong Man}, title = {Video Prediction Recalling Long-Term Motion Context via Memory Alignment Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3054-3063} }
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization: Fakai Wang,

Kang Zheng,

Le Lu,

Jing Xiao,

Min Wu,

Shun Miao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Fakai and Zheng, Kang and Lu, Le and Xiao, Jing and Wu, Min and Miao, Shun}, title = {Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5280-5288} }
Visual Semantic Role Labeling for Video Understanding: Arka Sadhu,

Tanmay Gupta,

Mark Yatskar,

Ram Nevatia,

Aniruddha Kembhavi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sadhu_2021_CVPR, author = {Sadhu, Arka and Gupta, Tanmay and Yatskar, Mark and Nevatia, Ram and Kembhavi, Aniruddha}, title = {Visual Semantic Role Labeling for Video Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5589-5600} }
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation: Brendan Duke,

Abdalla Ahmed,

Christian Wolf,

Parham Aarabi,

Graham W. Taylor; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Duke_2021_CVPR, author = {Duke, Brendan and Ahmed, Abdalla and Wolf, Christian and Aarabi, Parham and Taylor, Graham W.}, title = {SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5912-5921} }
Inferring CAD Modeling Sequences Using Zone Graphs: Xianghao Xu,

Wenzhe Peng,

Chin-Yi Cheng,

Karl D.D. Willis,

Daniel Ritchie; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Xianghao and Peng, Wenzhe and Cheng, Chin-Yi and Willis, Karl D.D. and Ritchie, Daniel}, title = {Inferring CAD Modeling Sequences Using Zone Graphs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6062-6070} }
A Circular-Structured Representation for Visual Emotion Distribution Learning: Jingyuan Yang,

Jie Li,

Leida Li,

Xiumei Wang,

Xinbo Gao; [pdf]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Jingyuan and Li, Jie and Li, Leida and Wang, Xiumei and Gao, Xinbo}, title = {A Circular-Structured Representation for Visual Emotion Distribution Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4237-4246} }
MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution: Liying Lu,

Wenbo Li,

Xin Tao,

Jiangbo Lu,

Jiaya Jia; [pdf] [supp]
[bibtex]
@InProceedings{Lu_2021_CVPR, author = {Lu, Liying and Li, Wenbo and Tao, Xin and Lu, Jiangbo and Jia, Jiaya}, title = {MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6368-6377} }
Spatiotemporal Contrastive Video Representation Learning: Rui Qian,

Tianjian Meng,

Boqing Gong,

Ming-Hsuan Yang,

Huisheng Wang,

Serge Belongie,

Yin Cui; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qian_2021_CVPR, author = {Qian, Rui and Meng, Tianjian and Gong, Boqing and Yang, Ming-Hsuan and Wang, Huisheng and Belongie, Serge and Cui, Yin}, title = {Spatiotemporal Contrastive Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6964-6974} }
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework: Zhen Huang,

Xu Shen,

Jun Xing,

Tongliang Liu,

Xinmei Tian,

Houqiang Li,

Bing Deng,

Jianqiang Huang,

Xian-Sheng Hua; [pdf]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Zhen and Shen, Xu and Xing, Jun and Liu, Tongliang and Tian, Xinmei and Li, Houqiang and Deng, Bing and Huang, Jianqiang and Hua, Xian-Sheng}, title = {Revisiting Knowledge Distillation: An Inheritance and Exploration Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3579-3588} }
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping: Austin Stone,

Daniel Maurer,

Alper Ayvaci,

Anelia Angelova,

Rico Jonschkowski; [pdf] [arXiv]
[bibtex]
@InProceedings{Stone_2021_CVPR, author = {Stone, Austin and Maurer, Daniel and Ayvaci, Alper and Angelova, Anelia and Jonschkowski, Rico}, title = {SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3887-3896} }
Single-View 3D Object Reconstruction From Shape Priors in Memory: Shuo Yang,

Min Xu,

Haozhe Xie,

Stuart Perry,

Jiahao Xia; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Shuo and Xu, Min and Xie, Haozhe and Perry, Stuart and Xia, Jiahao}, title = {Single-View 3D Object Reconstruction From Shape Priors in Memory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3152-3161} }
Recognizing Actions in Videos From Unseen Viewpoints: AJ Piergiovanni,

Michael S. Ryoo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Piergiovanni_2021_CVPR, author = {Piergiovanni, AJ and Ryoo, Michael S.}, title = {Recognizing Actions in Videos From Unseen Viewpoints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4124-4132} }
Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics: Jia-Wei Chen,

Li-Ju Chen,

Chia-Mu Yu,

Chun-Shien Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Jia-Wei and Chen, Li-Ju and Yu, Chia-Mu and Lu, Chun-Shien}, title = {Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6478-6487} }
Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization: Haoyu Ma,

Xiangru Lin,

Zifeng Wu,

Yizhou Yu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ma_2021_CVPR, author = {Ma, Haoyu and Lin, Xiangru and Wu, Zifeng and Yu, Yizhou}, title = {Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4051-4060} }
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking: Jennifer Jang,

Heinrich Jiang; [pdf] [supp]
[bibtex]
@InProceedings{Jang_2021_CVPR, author = {Jang, Jennifer and Jiang, Heinrich}, title = {MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4102-4113} }
ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis: Yinan He,

Bei Gan,

Siyu Chen,

Yichun Zhou,

Guojun Yin,

Luchuan Song,

Lu Sheng,

Jing Shao,

Ziwei Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2021_CVPR, author = {He, Yinan and Gan, Bei and Chen, Siyu and Zhou, Yichun and Yin, Guojun and Song, Luchuan and Sheng, Lu and Shao, Jing and Liu, Ziwei}, title = {ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4360-4369} }
Omnimatte: Associating Objects and Their Effects in Video: Erika Lu,

Forrester Cole,

Tali Dekel,

Andrew Zisserman,

William T. Freeman,

Michael Rubinstein; [pdf] [arXiv]
[bibtex]
@InProceedings{Lu_2021_CVPR, author = {Lu, Erika and Cole, Forrester and Dekel, Tali and Zisserman, Andrew and Freeman, William T. and Rubinstein, Michael}, title = {Omnimatte: Associating Objects and Their Effects in Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4507-4515} }
Deep Optimized Priors for 3D Shape Modeling and Reconstruction: Mingyue Yang,

Yuxin Wen,

Weikai Chen,

Yongwei Chen,

Kui Jia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Mingyue and Wen, Yuxin and Chen, Weikai and Chen, Yongwei and Jia, Kui}, title = {Deep Optimized Priors for 3D Shape Modeling and Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3269-3278} }
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-Scale Consistency: Zongxin Yang,

Xin Yu,

Yi Yang; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Zongxin and Yu, Xin and Yang, Yi}, title = {DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-Scale Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3907-3916} }
Rethinking Graph Neural Architecture Search From Message-Passing: Shaofei Cai,

Liang Li,

Jincan Deng,

Beichen Zhang,

Zheng-Jun Zha,

Li Su,

Qingming Huang; [pdf] [arXiv]
[bibtex]
@InProceedings{Cai_2021_CVPR, author = {Cai, Shaofei and Li, Liang and Deng, Jincan and Zhang, Beichen and Zha, Zheng-Jun and Su, Li and Huang, Qingming}, title = {Rethinking Graph Neural Architecture Search From Message-Passing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6657-6666} }
DER: Dynamically Expandable Representation for Class Incremental Learning: Shipeng Yan,

Jiangwei Xie,

Xuming He; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yan_2021_CVPR, author = {Yan, Shipeng and Xie, Jiangwei and He, Xuming}, title = {DER: Dynamically Expandable Representation for Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3014-3023} }
Manifold Regularized Dynamic Network Pruning: Yehui Tang,

Yunhe Wang,

Yixing Xu,

Yiping Deng,

Chao Xu,

Dacheng Tao,

Chang Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2021_CVPR, author = {Tang, Yehui and Wang, Yunhe and Xu, Yixing and Deng, Yiping and Xu, Chao and Tao, Dacheng and Xu, Chang}, title = {Manifold Regularized Dynamic Network Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5018-5028} }
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation: Subhankar Roy,

Evgeny Krivosheev,

Zhun Zhong,

Nicu Sebe,

Elisa Ricci; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Roy_2021_CVPR, author = {Roy, Subhankar and Krivosheev, Evgeny and Zhong, Zhun and Sebe, Nicu and Ricci, Elisa}, title = {Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5351-5360} }
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces: Berk Kaya,

Suryansh Kumar,

Carlos Oliveira,

Vittorio Ferrari,

Luc Van Gool; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kaya_2021_CVPR, author = {Kaya, Berk and Kumar, Suryansh and Oliveira, Carlos and Ferrari, Vittorio and Van Gool, Luc}, title = {Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3804-3814} }
Learning Compositional Representation for 4D Captures With Neural ODE: Boyan Jiang,

Yinda Zhang,

Xingkui Wei,

Xiangyang Xue,

Yanwei Fu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jiang_2021_CVPR, author = {Jiang, Boyan and Zhang, Yinda and Wei, Xingkui and Xue, Xiangyang and Fu, Yanwei}, title = {Learning Compositional Representation for 4D Captures With Neural ODE}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5340-5350} }
LAFEAT: Piercing Through Adversarial Defenses With Latent Features: Yunrui Yu,

Xitong Gao,

Cheng-Zhong Xu; [pdf] [arXiv]
[bibtex]
@InProceedings{Yu_2021_CVPR, author = {Yu, Yunrui and Gao, Xitong and Xu, Cheng-Zhong}, title = {LAFEAT: Piercing Through Adversarial Defenses With Latent Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5735-5745} }
RSG: A Simple but Effective Module for Learning Imbalanced Datasets: Jianfeng Wang,

Thomas Lukasiewicz,

Xiaolin Hu,

Jianfei Cai,

Zhenghua Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Jianfeng and Lukasiewicz, Thomas and Hu, Xiaolin and Cai, Jianfei and Xu, Zhenghua}, title = {RSG: A Simple but Effective Module for Learning Imbalanced Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3784-3793} }
StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis: Moustafa Meshry,

Yixuan Ren,

Larry S. Davis,

Abhinav Shrivastava; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Meshry_2021_CVPR, author = {Meshry, Moustafa and Ren, Yixuan and Davis, Larry S. and Shrivastava, Abhinav}, title = {StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3712-3721} }
Goal-Oriented Gaze Estimation for Zero-Shot Learning: Yang Liu,

Lei Zhou,

Xiao Bai,

Yifei Huang,

Lin Gu,

Jun Zhou,

Tatsuya Harada; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yang and Zhou, Lei and Bai, Xiao and Huang, Yifei and Gu, Lin and Zhou, Jun and Harada, Tatsuya}, title = {Goal-Oriented Gaze Estimation for Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3794-3803} }
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences: Norman Muller,

Yu-Shiang Wong,

Niloy J. Mitra,

Angela Dai,

Matthias Niessner; [pdf] [supp]
[bibtex]
@InProceedings{Muller_2021_CVPR, author = {Muller, Norman and Wong, Yu-Shiang and Mitra, Niloy J. and Dai, Angela and Niessner, Matthias}, title = {Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6071-6080} }
The Blessings of Unlabeled Background in Untrimmed Videos: Yuan Liu,

Jingyuan Chen,

Zhenfang Chen,

Bing Deng,

Jianqiang Huang,

Hanwang Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yuan and Chen, Jingyuan and Chen, Zhenfang and Deng, Bing and Huang, Jianqiang and Zhang, Hanwang}, title = {The Blessings of Unlabeled Background in Untrimmed Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6176-6185} }
Instance Localization for Self-Supervised Detection Pretraining: Ceyuan Yang,

Zhirong Wu,

Bolei Zhou,

Stephen Lin; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Ceyuan and Wu, Zhirong and Zhou, Bolei and Lin, Stephen}, title = {Instance Localization for Self-Supervised Detection Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3987-3996} }
Deep Animation Video Interpolation in the Wild: Li Siyao,

Shiyu Zhao,

Weijiang Yu,

Wenxiu Sun,

Dimitris Metaxas,

Chen Change Loy,

Ziwei Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Siyao_2021_CVPR, author = {Siyao, Li and Zhao, Shiyu and Yu, Weijiang and Sun, Wenxiu and Metaxas, Dimitris and Loy, Chen Change and Liu, Ziwei}, title = {Deep Animation Video Interpolation in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6587-6595} }
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection: Pei Sun,

Weiyue Wang,

Yuning Chai,

Gamaleldin Elsayed,

Alex Bewley,

Xiao Zhang,

Cristian Sminchisescu,

Dragomir Anguelov; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Pei and Wang, Weiyue and Chai, Yuning and Elsayed, Gamaleldin and Bewley, Alex and Zhang, Xiao and Sminchisescu, Cristian and Anguelov, Dragomir}, title = {RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5725-5734} }
Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting: K. Ram Prabhakar,

Gowtham Senthil,

Susmit Agrawal,

R. Venkatesh Babu,

Rama Krishna Sai S Gorthi; [pdf]
[bibtex]
@InProceedings{Prabhakar_2021_CVPR, author = {Prabhakar, K. Ram and Senthil, Gowtham and Agrawal, Susmit and Babu, R. Venkatesh and Gorthi, Rama Krishna Sai S}, title = {Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4875-4885} }
EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual: Songyan Zhang,

Zhicheng Wang,

Qiang Wang,

Jinshuo Zhang,

Gang Wei,

Xiaowen Chu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Songyan and Wang, Zhicheng and Wang, Qiang and Zhang, Jinshuo and Wei, Gang and Chu, Xiaowen}, title = {EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5433-5442} }
Learnable Companding Quantization for Accurate Low-Bit Neural Networks: Kohei Yamamoto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yamamoto_2021_CVPR, author = {Yamamoto, Kohei}, title = {Learnable Companding Quantization for Accurate Low-Bit Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5029-5038} }
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains: Jia Li,

Zhaoyang Li,

Jie Cao,

Xingguang Song,

Ran He; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Jia and Li, Zhaoyang and Cao, Jie and Song, Xingguang and He, Ran}, title = {FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5089-5098} }
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning: Liyuan Wang,

Kuo Yang,

Chongxuan Li,

Lanqing Hong,

Zhenguo Li,

Jun Zhu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Liyuan and Yang, Kuo and Li, Chongxuan and Hong, Lanqing and Li, Zhenguo and Zhu, Jun}, title = {ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5383-5392} }
Generative Interventions for Causal Learning: Chengzhi Mao,

Augustine Cha,

Amogh Gupta,

Hao Wang,

Junfeng Yang,

Carl Vondrick; [pdf] [arXiv]
[bibtex]
@InProceedings{Mao_2021_CVPR, author = {Mao, Chengzhi and Cha, Augustine and Gupta, Amogh and Wang, Hao and Yang, Junfeng and Vondrick, Carl}, title = {Generative Interventions for Causal Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3947-3956} }
VS-Net: Voting With Segmentation for Visual Localization: Zhaoyang Huang,

Han Zhou,

Yijin Li,

Bangbang Yang,

Yan Xu,

Xiaowei Zhou,

Hujun Bao,

Guofeng Zhang,

Hongsheng Li; [pdf] [supp]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Zhaoyang and Zhou, Han and Li, Yijin and Yang, Bangbang and Xu, Yan and Zhou, Xiaowei and Bao, Hujun and Zhang, Guofeng and Li, Hongsheng}, title = {VS-Net: Voting With Segmentation for Visual Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6101-6111} }
What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels: Jeonghun Baek,

Yusuke Matsui,

Kiyoharu Aizawa; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Baek_2021_CVPR, author = {Baek, Jeonghun and Matsui, Yusuke and Aizawa, Kiyoharu}, title = {What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3113-3122} }
HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers: Mingyu Ding,

Xiaochen Lian,

Linjie Yang,

Peng Wang,

Xiaojie Jin,

Zhiwu Lu,

Ping Luo; [pdf] [supp]
[bibtex]
@InProceedings{Ding_2021_CVPR, author = {Ding, Mingyu and Lian, Xiaochen and Yang, Linjie and Wang, Peng and Jin, Xiaojie and Lu, Zhiwu and Luo, Ping}, title = {HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2982-2992} }
MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation: Xiaoqing Guo,

Chen Yang,

Baopu Li,

Yixuan Yuan; [pdf] [arXiv]
[bibtex]
@InProceedings{Guo_2021_CVPR, author = {Guo, Xiaoqing and Yang, Chen and Li, Baopu and Yuan, Yixuan}, title = {MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3927-3936} }
Fourier Contour Embedding for Arbitrary-Shaped Text Detection: Yiqin Zhu,

Jianyong Chen,

Lingyu Liang,

Zhanghui Kuang,

Lianwen Jin,

Wayne Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Yiqin and Chen, Jianyong and Liang, Lingyu and Kuang, Zhanghui and Jin, Lianwen and Zhang, Wayne}, title = {Fourier Contour Embedding for Arbitrary-Shaped Text Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3123-3131} }
Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis: Karren Yang,

Samuel Goldman,

Wengong Jin,

Alex X. Lu,

Regina Barzilay,

Tommi Jaakkola,

Caroline Uhler; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Karren and Goldman, Samuel and Jin, Wengong and Lu, Alex X. and Barzilay, Regina and Jaakkola, Tommi and Uhler, Caroline}, title = {Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6688-6698} }
Prototype Completion With Primitive Knowledge for Few-Shot Learning: Baoquan Zhang,

Xutao Li,

Yunming Ye,

Zhichao Huang,

Lisai Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Baoquan and Li, Xutao and Ye, Yunming and Huang, Zhichao and Zhang, Lisai}, title = {Prototype Completion With Primitive Knowledge for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3754-3762} }
LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity: Cheng-Fu Yang,

Wan-Cyuan Fan,

Fu-En Yang,

Yu-Chiang Frank Wang; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Cheng-Fu and Fan, Wan-Cyuan and Yang, Fu-En and Wang, Yu-Chiang Frank}, title = {LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3732-3741} }
Practical Wide-Angle Portraits Correction With Deep Structured Models: Jing Tan,

Shan Zhao,

Pengfei Xiong,

Jiangyu Liu,

Haoqiang Fan,

Shuaicheng Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tan_2021_CVPR, author = {Tan, Jing and Zhao, Shan and Xiong, Pengfei and Liu, Jiangyu and Fan, Haoqiang and Liu, Shuaicheng}, title = {Practical Wide-Angle Portraits Correction With Deep Structured Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3498-3506} }
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding: Runzhong Wang,

Tianqi Zhang,

Tianshu Yu,

Junchi Yan,

Xiaokang Yang; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Runzhong and Zhang, Tianqi and Yu, Tianshu and Yan, Junchi and Yang, Xiaokang}, title = {Combinatorial Learning of Graph Edit Distance via Dynamic Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5241-5250} }
Flow-Guided One-Shot Talking Face Generation With a High-Resolution Audio-Visual Dataset: Zhimeng Zhang,

Lincheng Li,

Yu Ding,

Changjie Fan; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Zhimeng and Li, Lincheng and Ding, Yu and Fan, Changjie}, title = {Flow-Guided One-Shot Talking Face Generation With a High-Resolution Audio-Visual Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3661-3670} }
VIGOR: Cross-View Image Geo-Localization Beyond One-to-One Retrieval: Sijie Zhu,

Taojiannan Yang,

Chen Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Sijie and Yang, Taojiannan and Chen, Chen}, title = {VIGOR: Cross-View Image Geo-Localization Beyond One-to-One Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3640-3649} }
Learning a Facial Expression Embedding Disentangled From Identity: Wei Zhang,

Xianpeng Ji,

Keyu Chen,

Yu Ding,

Changjie Fan; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Wei and Ji, Xianpeng and Chen, Keyu and Ding, Yu and Fan, Changjie}, title = {Learning a Facial Expression Embedding Disentangled From Identity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6759-6768} }
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization: Jiaru Zhang,

Yang Hua,

Zhengui Xue,

Tao Song,

Chengyu Zheng,

Ruhui Ma,

Haibing Guan; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Jiaru and Hua, Yang and Xue, Zhengui and Song, Tao and Zheng, Chengyu and Ma, Ruhui and Guan, Haibing}, title = {Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3815-3824} }
3D CNNs With Adaptive Temporal Feature Resolutions: Mohsen Fayyaz,

Emad Bahrami,

Ali Diba,

Mehdi Noroozi,

Ehsan Adeli,

Luc Van Gool,

Jurgen Gall; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fayyaz_2021_CVPR, author = {Fayyaz, Mohsen and Bahrami, Emad and Diba, Ali and Noroozi, Mehdi and Adeli, Ehsan and Van Gool, Luc and Gall, Jurgen}, title = {3D CNNs With Adaptive Temporal Feature Resolutions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4731-4740} }
Multiple Instance Active Learning for Object Detection: Tianning Yuan,

Fang Wan,

Mengying Fu,

Jianzhuang Liu,

Songcen Xu,

Xiangyang Ji,

Qixiang Ye; [pdf] [arXiv]
[bibtex]
@InProceedings{Yuan_2021_CVPR, author = {Yuan, Tianning and Wan, Fang and Fu, Mengying and Liu, Jianzhuang and Xu, Songcen and Ji, Xiangyang and Ye, Qixiang}, title = {Multiple Instance Active Learning for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5330-5339} }
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise: Xiangyu Rui,

Xiangyong Cao,

Qi Xie,

Zongsheng Yue,

Qian Zhao,

Deyu Meng; [pdf] [supp]
[bibtex]
@InProceedings{Rui_2021_CVPR, author = {Rui, Xiangyu and Cao, Xiangyong and Xie, Qi and Yue, Zongsheng and Zhao, Qian and Meng, Deyu}, title = {Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6739-6748} }
Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks: Despoina Paschalidou,

Angelos Katharopoulos,

Andreas Geiger,

Sanja Fidler; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Paschalidou_2021_CVPR, author = {Paschalidou, Despoina and Katharopoulos, Angelos and Geiger, Andreas and Fidler, Sanja}, title = {Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3204-3215} }
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds: Yi Wei,

Ziyi Wang,

Yongming Rao,

Jiwen Lu,

Jie Zhou; [pdf] [supp]
[bibtex]
@InProceedings{Wei_2021_CVPR, author = {Wei, Yi and Wang, Ziyi and Rao, Yongming and Lu, Jiwen and Zhou, Jie}, title = {PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6954-6963} }
Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features: Zekun Sun,

Yujie Han,

Zeyu Hua,

Na Ruan,

Weijia Jia; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Zekun and Han, Yujie and Hua, Zeyu and Ruan, Na and Jia, Weijia}, title = {Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3609-3618} }
Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches: Song-Hai Zhang,

Yuan-Chen Guo,

Qing-Wen Gu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Song-Hai and Guo, Yuan-Chen and Gu, Qing-Wen}, title = {Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6012-6021} }
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation: Hang Zhou,

Yasheng Sun,

Wayne Wu,

Chen Change Loy,

Xiaogang Wang,

Ziwei Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Hang and Sun, Yasheng and Wu, Wayne and Loy, Chen Change and Wang, Xiaogang and Liu, Ziwei}, title = {Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4176-4186} }
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion: Ho Kei Cheng,

Yu-Wing Tai,

Chi-Keung Tang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cheng_2021_CVPR, author = {Cheng, Ho Kei and Tai, Yu-Wing and Tang, Chi-Keung}, title = {Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5559-5568} }
Learning Accurate Dense Correspondences and When To Trust Them: Prune Truong,

Martin Danelljan,

Luc Van Gool,

Radu Timofte; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Truong_2021_CVPR, author = {Truong, Prune and Danelljan, Martin and Van Gool, Luc and Timofte, Radu}, title = {Learning Accurate Dense Correspondences and When To Trust Them}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5714-5724} }
Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation: Tao Tu,

Qing Ping,

Govindarajan Thattai,

Gokhan Tur,

Prem Natarajan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tu_2021_CVPR, author = {Tu, Tao and Ping, Qing and Thattai, Govindarajan and Tur, Gokhan and Natarajan, Prem}, title = {Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5622-5631} }
Restoring Extremely Dark Images in Real Time: Mohit Lamba,

Kaushik Mitra; [pdf] [supp]
[bibtex]
@InProceedings{Lamba_2021_CVPR, author = {Lamba, Mohit and Mitra, Kaushik}, title = {Restoring Extremely Dark Images in Real Time}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3487-3497} }
Unbiased Mean Teacher for Cross-Domain Object Detection: Jinhong Deng,

Wen Li,

Yuhua Chen,

Lixin Duan; [pdf] [arXiv]
[bibtex]
@InProceedings{Deng_2021_CVPR, author = {Deng, Jinhong and Li, Wen and Chen, Yuhua and Duan, Lixin}, title = {Unbiased Mean Teacher for Cross-Domain Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4091-4101} }
VoxelContext-Net: An Octree Based Framework for Point Cloud Compression: Zizheng Que,

Guo Lu,

Dong Xu; [pdf]
[bibtex]
@InProceedings{Que_2021_CVPR, author = {Que, Zizheng and Lu, Guo and Xu, Dong}, title = {VoxelContext-Net: An Octree Based Framework for Point Cloud Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6042-6051} }
FSDR: Frequency Space Domain Randomization for Domain Generalization: Jiaxing Huang,

Dayan Guan,

Aoran Xiao,

Shijian Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Jiaxing and Guan, Dayan and Xiao, Aoran and Lu, Shijian}, title = {FSDR: Frequency Space Domain Randomization for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6891-6902} }
PLOP: Learning Without Forgetting for Continual Semantic Segmentation: Arthur Douillard,

Yifu Chen,

Arnaud Dapogny,

Matthieu Cord; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Douillard_2021_CVPR, author = {Douillard, Arthur and Chen, Yifu and Dapogny, Arnaud and Cord, Matthieu}, title = {PLOP: Learning Without Forgetting for Continual Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4040-4050} }
Hilbert Sinkhorn Divergence for Optimal Transport: Qian Li,

Zhichao Wang,

Gang Li,

Jun Pang,

Guandong Xu; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Qian and Wang, Zhichao and Li, Gang and Pang, Jun and Xu, Guandong}, title = {Hilbert Sinkhorn Divergence for Optimal Transport}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3835-3844} }
The Multi-Temporal Urban Development SpaceNet Dataset: Adam Van Etten,

Daniel Hogan,

Jesus Martinez Manso,

Jacob Shermeyer,

Nicholas Weir,

Ryan Lewis; [pdf]
[bibtex]
@InProceedings{Van_Etten_2021_CVPR, author = {Van Etten, Adam and Hogan, Daniel and Manso, Jesus Martinez and Shermeyer, Jacob and Weir, Nicholas and Lewis, Ryan}, title = {The Multi-Temporal Urban Development SpaceNet Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6398-6407} }
L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing: Guoxing Yang,

Nanyi Fei,

Mingyu Ding,

Guangzhen Liu,

Zhiwu Lu,

Tao Xiang; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Guoxing and Fei, Nanyi and Ding, Mingyu and Liu, Guangzhen and Lu, Zhiwu and Xiang, Tao}, title = {L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2951-2960} }
Dense Contrastive Learning for Self-Supervised Visual Pre-Training: Xinlong Wang,

Rufeng Zhang,

Chunhua Shen,

Tao Kong,

Lei Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Xinlong and Zhang, Rufeng and Shen, Chunhua and Kong, Tao and Li, Lei}, title = {Dense Contrastive Learning for Self-Supervised Visual Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3024-3033} }
Learning Temporal Consistency for Low Light Video Enhancement From Single Images: Fan Zhang,

Yu Li,

Shaodi You,

Ying Fu; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Fan and Li, Yu and You, Shaodi and Fu, Ying}, title = {Learning Temporal Consistency for Low Light Video Enhancement From Single Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4967-4976} }
Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net: Yawen Huang,

Feng Zheng,

Danyang Wang,

Weilin Huang,

Matthew R. Scott,

Ling Shao; [pdf]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Yawen and Zheng, Feng and Wang, Danyang and Huang, Weilin and Scott, Matthew R. and Shao, Ling}, title = {Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5881-5890} }
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation: Astuti Sharma,

Tarun Kalluri,

Manmohan Chandraker; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sharma_2021_CVPR, author = {Sharma, Astuti and Kalluri, Tarun and Chandraker, Manmohan}, title = {Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5361-5371} }
Shallow Feature Matters for Weakly Supervised Object Localization: Jun Wei,

Qin Wang,

Zhen Li,

Sheng Wang,

S. Kevin Zhou,

Shuguang Cui; [pdf]
[bibtex]
@InProceedings{Wei_2021_CVPR, author = {Wei, Jun and Wang, Qin and Li, Zhen and Wang, Sheng and Zhou, S. Kevin and Cui, Shuguang}, title = {Shallow Feature Matters for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5993-6001} }
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss: Juan Luis Gonzalez,

Munchurl Kim; [pdf] [supp]
[bibtex]
@InProceedings{Gonzalez_2021_CVPR, author = {Gonzalez, Juan Luis and Kim, Munchurl}, title = {PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6851-6860} }
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling: Dilin Wang,

Meng Li,

Chengyue Gong,

Vikas Chandra; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Dilin and Li, Meng and Gong, Chengyue and Chandra, Vikas}, title = {AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6418-6427} }
Towards Evaluating and Training Verifiably Robust Neural Networks: Zhaoyang Lyu,

Minghao Guo,

Tong Wu,

Guodong Xu,

Kehuan Zhang,

Dahua Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lyu_2021_CVPR, author = {Lyu, Zhaoyang and Guo, Minghao and Wu, Tong and Xu, Guodong and Zhang, Kehuan and Lin, Dahua}, title = {Towards Evaluating and Training Verifiably Robust Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4308-4317} }
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding: Yongfei Liu,

Bo Wan,

Lin Ma,

Xuming He; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yongfei and Wan, Bo and Ma, Lin and He, Xuming}, title = {Relation-aware Instance Refinement for Weakly Supervised Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5612-5621} }
Spatially-Invariant Style-Codes Controlled Makeup Transfer: Han Deng,

Chu Han,

Hongmin Cai,

Guoqiang Han,

Shengfeng He; [pdf] [supp]
[bibtex]
@InProceedings{Deng_2021_CVPR, author = {Deng, Han and Han, Chu and Cai, Hongmin and Han, Guoqiang and He, Shengfeng}, title = {Spatially-Invariant Style-Codes Controlled Makeup Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6549-6557} }
A Deep Emulator for Secondary Motion of 3D Characters: Mianlun Zheng,

Yi Zhou,

Duygu Ceylan,

Jernej Barbic; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Mianlun and Zhou, Yi and Ceylan, Duygu and Barbic, Jernej}, title = {A Deep Emulator for Secondary Motion of 3D Characters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5932-5940} }
IMAGINE: Image Synthesis by Image-Guided Model Inversion: Pei Wang,

Yijun Li,

Krishna Kumar Singh,

Jingwan Lu,

Nuno Vasconcelos; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Pei and Li, Yijun and Singh, Krishna Kumar and Lu, Jingwan and Vasconcelos, Nuno}, title = {IMAGINE: Image Synthesis by Image-Guided Model Inversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3681-3690} }
Neural Scene Graphs for Dynamic Scenes: Julian Ost,

Fahim Mannan,

Nils Thuerey,

Julian Knodt,

Felix Heide; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ost_2021_CVPR, author = {Ost, Julian and Mannan, Fahim and Thuerey, Nils and Knodt, Julian and Heide, Felix}, title = {Neural Scene Graphs for Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2856-2865} }
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring: Jiangxin Dong,

Stefan Roth,

Bernt Schiele; [pdf] [supp]
[bibtex]
@InProceedings{Dong_2021_CVPR, author = {Dong, Jiangxin and Roth, Stefan and Schiele, Bernt}, title = {Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4886-4895} }
BoxInst: High-Performance Instance Segmentation With Box Annotations: Zhi Tian,

Chunhua Shen,

Xinlong Wang,

Hao Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tian_2021_CVPR, author = {Tian, Zhi and Shen, Chunhua and Wang, Xinlong and Chen, Hao}, title = {BoxInst: High-Performance Instance Segmentation With Box Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5443-5452} }
Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation: Tengfei Song,

Zijun Cui,

Yuru Wang,

Wenming Zheng,

Qiang Ji; [pdf] [supp]
[bibtex]
@InProceedings{Song_2021_CVPR, author = {Song, Tengfei and Cui, Zijun and Wang, Yuru and Zheng, Wenming and Ji, Qiang}, title = {Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4845-4854} }
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos: Jiawei Liu,

Zheng-Jun Zha,

Wei Wu,

Kecheng Zheng,

Qibin Sun; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Jiawei and Zha, Zheng-Jun and Wu, Wei and Zheng, Kecheng and Sun, Qibin}, title = {Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4370-4379} }
Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers: Sixiao Zheng,

Jiachen Lu,

Hengshuang Zhao,

Xiatian Zhu,

Zekun Luo,

Yabiao Wang,

Yanwei Fu,

Jianfeng Feng,

Tao Xiang,

Philip H.S. Torr,

Li Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Sixiao and Lu, Jiachen and Zhao, Hengshuang and Zhu, Xiatian and Luo, Zekun and Wang, Yabiao and Fu, Yanwei and Feng, Jianfeng and Xiang, Tao and Torr, Philip H.S. and Zhang, Li}, title = {Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6881-6890} }
Learning Affinity-Aware Upsampling for Deep Image Matting: Yutong Dai,

Hao Lu,

Chunhua Shen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dai_2021_CVPR, author = {Dai, Yutong and Lu, Hao and Shen, Chunhua}, title = {Learning Affinity-Aware Upsampling for Deep Image Matting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6841-6850} }
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms: Yuxing Tang,

Zhenjie Cao,

Yanbo Zhang,

Zhicheng Yang,

Zongcheng Ji,

Yiwei Wang,

Mei Han,

Jie Ma,

Jing Xiao,

Peng Chang; [pdf] [supp]
[bibtex]
@InProceedings{Tang_2021_CVPR, author = {Tang, Yuxing and Cao, Zhenjie and Zhang, Yanbo and Yang, Zhicheng and Ji, Zongcheng and Wang, Yiwei and Han, Mei and Ma, Jie and Xiao, Jing and Chang, Peng}, title = {Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3855-3864} }
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework: Qiang Zhou,

Chaohui Yu,

Zhibin Wang,

Qi Qian,

Hao Li; [pdf] [supp]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Qiang and Yu, Chaohui and Wang, Zhibin and Qian, Qi and Li, Hao}, title = {Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4081-4090} }
Generative Hierarchical Features From Synthesizing Images: Yinghao Xu,

Yujun Shen,

Jiapeng Zhu,

Ceyuan Yang,

Bolei Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Yinghao and Shen, Yujun and Zhu, Jiapeng and Yang, Ceyuan and Zhou, Bolei}, title = {Generative Hierarchical Features From Synthesizing Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4432-4442} }
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality: Trisha Mittal,

Puneet Mathur,

Aniket Bera,

Dinesh Manocha; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mittal_2021_CVPR, author = {Mittal, Trisha and Mathur, Puneet and Bera, Aniket and Manocha, Dinesh}, title = {Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5661-5671} }
Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayers: Lei Ke,

Yu-Wing Tai,

Chi-Keung Tang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ke_2021_CVPR, author = {Ke, Lei and Tai, Yu-Wing and Tang, Chi-Keung}, title = {Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4019-4028} }
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera: Felix Wimbauer,

Nan Yang,

Lukas von Stumberg,

Niclas Zeller,

Daniel Cremers; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wimbauer_2021_CVPR, author = {Wimbauer, Felix and Yang, Nan and von Stumberg, Lukas and Zeller, Niclas and Cremers, Daniel}, title = {MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6112-6122} }
DAP: Detection-Aware Pre-Training With Weak Supervision: Yuanyi Zhong,

Jianfeng Wang,

Lijuan Wang,

Jian Peng,

Yu-Xiong Wang,

Lei Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhong_2021_CVPR, author = {Zhong, Yuanyi and Wang, Jianfeng and Wang, Lijuan and Peng, Jian and Wang, Yu-Xiong and Zhang, Lei}, title = {DAP: Detection-Aware Pre-Training With Weak Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4537-4546} }
IBRNet: Learning Multi-View Image-Based Rendering: Qianqian Wang,

Zhicheng Wang,

Kyle Genova,

Pratul P. Srinivasan,

Howard Zhou,

Jonathan T. Barron,

Ricardo Martin-Brualla,

Noah Snavely,

Thomas Funkhouser; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Qianqian and Wang, Zhicheng and Genova, Kyle and Srinivasan, Pratul P. and Zhou, Howard and Barron, Jonathan T. and Martin-Brualla, Ricardo and Snavely, Noah and Funkhouser, Thomas}, title = {IBRNet: Learning Multi-View Image-Based Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4690-4699} }
From Shadow Generation To Shadow Removal: Zhihao Liu,

Hui Yin,

Xinyi Wu,

Zhenyao Wu,

Yang Mi,

Song Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Zhihao and Yin, Hui and Wu, Xinyi and Wu, Zhenyao and Mi, Yang and Wang, Song}, title = {From Shadow Generation To Shadow Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4927-4936} }
Face Forgery Detection by 3D Decomposition: Xiangyu Zhu,

Hao Wang,

Hongyan Fei,

Zhen Lei,

Stan Z. Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Xiangyu and Wang, Hao and Fei, Hongyan and Lei, Zhen and Li, Stan Z.}, title = {Face Forgery Detection by 3D Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2929-2939} }
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation: Jungbeom Lee,

Eunji Kim,

Sungroh Yoon; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Jungbeom and Kim, Eunji and Yoon, Sungroh}, title = {Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4071-4080} }; Back