CVPR 2021 Open Access Repository

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Introvert: Human Trajectory Prediction via Conditional 3D Attention: Nasim Shafiee,

Taskin Padir,

Ehsan Elhamifar; [pdf] [supp]
[bibtex]
@InProceedings{Shafiee_2021_CVPR, author = {Shafiee, Nasim and Padir, Taskin and Elhamifar, Ehsan}, title = {Introvert: Human Trajectory Prediction via Conditional 3D Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16815-16825} }
Wide-Depth-Range 6D Object Pose Estimation in Space: Yinlin Hu,

Sebastien Speierer,

Wenzel Jakob,

Pascal Fua,

Mathieu Salzmann; [pdf] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Yinlin and Speierer, Sebastien and Jakob, Wenzel and Fua, Pascal and Salzmann, Mathieu}, title = {Wide-Depth-Range 6D Object Pose Estimation in Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15870-15879} }
Learning Optical Flow From a Few Matches: Shihao Jiang,

Yao Lu,

Hongdong Li,

Richard Hartley; [pdf] [arXiv]
[bibtex]
@InProceedings{Jiang_2021_CVPR, author = {Jiang, Shihao and Lu, Yao and Li, Hongdong and Hartley, Richard}, title = {Learning Optical Flow From a Few Matches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16592-16600} }
DeepI2P: Image-to-Point Cloud Registration via Deep Classification: Jiaxin Li,

Gim Hee Lee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Jiaxin and Lee, Gim Hee}, title = {DeepI2P: Image-to-Point Cloud Registration via Deep Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15960-15969} }
Human-Like Controllable Image Captioning With Verb-Specific Semantic Roles: Long Chen,

Zhihong Jiang,

Jun Xiao,

Wei Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Long and Jiang, Zhihong and Xiao, Jun and Liu, Wei}, title = {Human-Like Controllable Image Captioning With Verb-Specific Semantic Roles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16846-16856} }
How To Exploit the Transferability of Learned Image Compression to Conventional Codecs: Jan P. Klopp,

Keng-Chi Liu,

Liang-Gee Chen,

Shao-Yi Chien; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Klopp_2021_CVPR, author = {Klopp, Jan P. and Liu, Keng-Chi and Chen, Liang-Gee and Chien, Shao-Yi}, title = {How To Exploit the Transferability of Learned Image Compression to Conventional Codecs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16165-16174} }
Harmonious Semantic Line Detection via Maximal Weight Clique Selection: Dongkwon Jin,

Wonhui Park,

Seong-Gyun Jeong,

Chang-Su Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jin_2021_CVPR, author = {Jin, Dongkwon and Park, Wonhui and Jeong, Seong-Gyun and Kim, Chang-Su}, title = {Harmonious Semantic Line Detection via Maximal Weight Clique Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16737-16745} }
Progressive Temporal Feature Alignment Network for Video Inpainting: Xueyan Zou,

Linjie Yang,

Ding Liu,

Yong Jae Lee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zou_2021_CVPR, author = {Zou, Xueyan and Yang, Linjie and Liu, Ding and Lee, Yong Jae}, title = {Progressive Temporal Feature Alignment Network for Video Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16448-16457} }
Bottleneck Transformers for Visual Recognition: Aravind Srinivas,

Tsung-Yi Lin,

Niki Parmar,

Jonathon Shlens,

Pieter Abbeel,

Ashish Vaswani; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Srinivas_2021_CVPR, author = {Srinivas, Aravind and Lin, Tsung-Yi and Parmar, Niki and Shlens, Jonathon and Abbeel, Pieter and Vaswani, Ashish}, title = {Bottleneck Transformers for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16519-16529} }
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding: Binbin Huang,

Dongze Lian,

Weixin Luo,

Shenghua Gao; [pdf] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Binbin and Lian, Dongze and Luo, Weixin and Gao, Shenghua}, title = {Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16888-16897} }
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network: Xu Yang,

Cheng Deng,

Zhiyuan Dang,

Kun Wei,

Junchi Yan; [pdf]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Xu and Deng, Cheng and Dang, Zhiyuan and Wei, Kun and Yan, Junchi}, title = {SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16775-16784} }
Localizing Visual Sounds the Hard Way: Honglie Chen,

Weidi Xie,

Triantafyllos Afouras,

Arsha Nagrani,

Andrea Vedaldi,

Andrew Zisserman; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Honglie and Xie, Weidi and Afouras, Triantafyllos and Nagrani, Arsha and Vedaldi, Andrea and Zisserman, Andrew}, title = {Localizing Visual Sounds the Hard Way}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16867-16876} }
Self-Point-Flow: Self-Supervised Scene Flow Estimation From Point Clouds With Optimal Transport and Random Walk: Ruibo Li,

Guosheng Lin,

Lihua Xie; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Ruibo and Lin, Guosheng and Xie, Lihua}, title = {Self-Point-Flow: Self-Supervised Scene Flow Estimation From Point Clouds With Optimal Transport and Random Walk}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15577-15586} }
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation: Yunhang Shen,

Liujuan Cao,

Zhiwei Chen,

Feihong Lian,

Baochang Zhang,

Chi Su,

Yongjian Wu,

Feiyue Huang,

Rongrong Ji; [pdf]
[bibtex]
@InProceedings{Shen_2021_CVPR, author = {Shen, Yunhang and Cao, Liujuan and Chen, Zhiwei and Lian, Feihong and Zhang, Baochang and Su, Chi and Wu, Yongjian and Huang, Feiyue and Ji, Rongrong}, title = {Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16694-16705} }
PointDSC: Robust Point Cloud Registration Using Deep Spatial Consistency: Xuyang Bai,

Zixin Luo,

Lei Zhou,

Hongkai Chen,

Lei Li,

Zeyu Hu,

Hongbo Fu,

Chiew-Lan Tai; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bai_2021_CVPR, author = {Bai, Xuyang and Luo, Zixin and Zhou, Lei and Chen, Hongkai and Li, Lei and Hu, Zeyu and Fu, Hongbo and Tai, Chiew-Lan}, title = {PointDSC: Robust Point Cloud Registration Using Deep Spatial Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15859-15869} }
Wasserstein Barycenter for Multi-Source Domain Adaptation: Eduardo Fernandes Montesuma,

Fred Maurice Ngole Mboula; [pdf] [supp]
[bibtex]
@InProceedings{Montesuma_2021_CVPR, author = {Montesuma, Eduardo Fernandes and Mboula, Fred Maurice Ngole}, title = {Wasserstein Barycenter for Multi-Source Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16785-16793} }
Learning Asynchronous and Sparse Human-Object Interaction in Videos: Romero Morais,

Vuong Le,

Svetha Venkatesh,

Truyen Tran; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Morais_2021_CVPR, author = {Morais, Romero and Le, Vuong and Venkatesh, Svetha and Tran, Truyen}, title = {Learning Asynchronous and Sparse Human-Object Interaction in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16041-16050} }
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking: Minghao Chen,

Jianlong Fu,

Haibin Ling; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Minghao and Fu, Jianlong and Ling, Haibin}, title = {One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16530-16539} }
Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On: Chongjian Ge,

Yibing Song,

Yuying Ge,

Han Yang,

Wei Liu,

Ping Luo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ge_2021_CVPR, author = {Ge, Chongjian and Song, Yibing and Ge, Yuying and Yang, Han and Liu, Wei and Luo, Ping}, title = {Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16928-16937} }
Mirror3D: Depth Refinement for Mirror Surfaces: Jiaqi Tan,

Weijie Lin,

Angel X. Chang,

Manolis Savva; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tan_2021_CVPR, author = {Tan, Jiaqi and Lin, Weijie and Chang, Angel X. and Savva, Manolis}, title = {Mirror3D: Depth Refinement for Mirror Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15990-15999} }
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning: Zhenda Xie,

Yutong Lin,

Zheng Zhang,

Yue Cao,

Stephen Lin,

Han Hu; [pdf] [arXiv]
[bibtex]
@InProceedings{Xie_2021_CVPR, author = {Xie, Zhenda and Lin, Yutong and Zhang, Zheng and Cao, Yue and Lin, Stephen and Hu, Han}, title = {Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16684-16693} }
Exploring Simple Siamese Representation Learning: Xinlei Chen,

Kaiming He; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Xinlei and He, Kaiming}, title = {Exploring Simple Siamese Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15750-15758} }
CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency: Mohammad A. A. K. Jalwana,

Naveed Akhtar,

Mohammed Bennamoun,

Ajmal Mian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jalwana_2021_CVPR, author = {Jalwana, Mohammad A. A. K. and Akhtar, Naveed and Bennamoun, Mohammed and Mian, Ajmal}, title = {CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16327-16336} }
AdderSR: Towards Energy Efficient Image Super-Resolution: Dehua Song,

Yunhe Wang,

Hanting Chen,

Chang Xu,

Chunjing Xu,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Song_2021_CVPR, author = {Song, Dehua and Wang, Yunhe and Chen, Hanting and Xu, Chang and Xu, Chunjing and Tao, Dacheng}, title = {AdderSR: Towards Energy Efficient Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15648-15657} }
MongeNet: Efficient Sampler for Geometric Deep Learning: Leo Lebrat,

Rodrigo Santa Cruz,

Clinton Fookes,

Olivier Salvado; [pdf] [arXiv]
[bibtex]
@InProceedings{Lebrat_2021_CVPR, author = {Lebrat, Leo and Cruz, Rodrigo Santa and Fookes, Clinton and Salvado, Olivier}, title = {MongeNet: Efficient Sampler for Geometric Deep Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16664-16673} }
Robust and Accurate Object Detection via Adversarial Learning: Xiangning Chen,

Cihang Xie,

Mingxing Tan,

Li Zhang,

Cho-Jui Hsieh,

Boqing Gong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Xiangning and Xie, Cihang and Tan, Mingxing and Zhang, Li and Hsieh, Cho-Jui and Gong, Boqing}, title = {Robust and Accurate Object Detection via Adversarial Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16622-16631} }
Layout-Guided Novel View Synthesis From a Single Indoor Panorama: Jiale Xu,

Jia Zheng,

Yanyu Xu,

Rui Tang,

Shenghua Gao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Jiale and Zheng, Jia and Xu, Yanyu and Tang, Rui and Gao, Shenghua}, title = {Layout-Guided Novel View Synthesis From a Single Indoor Panorama}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16438-16447} }
Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing: Xunguang Wang,

Zheng Zhang,

Baoyuan Wu,

Fumin Shen,

Guangming Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Xunguang and Zhang, Zheng and Wu, Baoyuan and Shen, Fumin and Lu, Guangming}, title = {Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16357-16366} }
Progressive Semantic Segmentation: Chuong Huynh,

Anh Tuan Tran,

Khoa Luu,

Minh Hoai; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huynh_2021_CVPR, author = {Huynh, Chuong and Tran, Anh Tuan and Luu, Khoa and Hoai, Minh}, title = {Progressive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16755-16764} }
Learning the Best Pooling Strategy for Visual Semantic Embedding: Jiacheng Chen,

Hexiang Hu,

Hao Wu,

Yuning Jiang,

Changhu Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Jiacheng and Hu, Hexiang and Wu, Hao and Jiang, Yuning and Wang, Changhu}, title = {Learning the Best Pooling Strategy for Visual Semantic Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15789-15798} }
Stylized Neural Painting: Zhengxia Zou,

Tianyang Shi,

Shuang Qiu,

Yi Yuan,

Zhenwei Shi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zou_2021_CVPR, author = {Zou, Zhengxia and Shi, Tianyang and Qiu, Shuang and Yuan, Yi and Shi, Zhenwei}, title = {Stylized Neural Painting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15689-15698} }
LASR: Learning Articulated Shape Reconstruction From a Monocular Video: Gengshan Yang,

Deqing Sun,

Varun Jampani,

Daniel Vlasic,

Forrester Cole,

Huiwen Chang,

Deva Ramanan,

William T. Freeman,

Ce Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Gengshan and Sun, Deqing and Jampani, Varun and Vlasic, Daniel and Cole, Forrester and Chang, Huiwen and Ramanan, Deva and Freeman, William T. and Liu, Ce}, title = {LASR: Learning Articulated Shape Reconstruction From a Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15980-15989} }
No Shadow Left Behind: Removing Objects and Their Shadows Using Approximate Lighting and Geometry: Edward Zhang,

Ricardo Martin-Brualla,

Janne Kontkanen,

Brian L. Curless; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Edward and Martin-Brualla, Ricardo and Kontkanen, Janne and Curless, Brian L.}, title = {No Shadow Left Behind: Removing Objects and Their Shadows Using Approximate Lighting and Geometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16397-16406} }
Saliency-Guided Image Translation: Lai Jiang,

Mai Xu,

Xiaofei Wang,

Leonid Sigal; [pdf] [supp]
[bibtex]
@InProceedings{Jiang_2021_CVPR, author = {Jiang, Lai and Xu, Mai and Wang, Xiaofei and Sigal, Leonid}, title = {Saliency-Guided Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16509-16518} }
On Robustness and Transferability of Convolutional Neural Networks: Josip Djolonga,

Jessica Yung,

Michael Tschannen,

Rob Romijnders,

Lucas Beyer,

Alexander Kolesnikov,

Joan Puigcerver,

Matthias Minderer,

Alexander D'Amour,

Dan Moldovan,

Sylvain Gelly,

Neil Houlsby,

Xiaohua Zhai,

Mario Lucic; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Djolonga_2021_CVPR, author = {Djolonga, Josip and Yung, Jessica and Tschannen, Michael and Romijnders, Rob and Beyer, Lucas and Kolesnikov, Alexander and Puigcerver, Joan and Minderer, Matthias and D'Amour, Alexander and Moldovan, Dan and Gelly, Sylvain and Houlsby, Neil and Zhai, Xiaohua and Lucic, Mario}, title = {On Robustness and Transferability of Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16458-16468} }
Deep Lucas-Kanade Homography for Multimodal Image Alignment: Yiming Zhao,

Xinming Huang,

Ziming Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yiming and Huang, Xinming and Zhang, Ziming}, title = {Deep Lucas-Kanade Homography for Multimodal Image Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15950-15959} }
clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation: Suprosanna Shit,

Johannes C. Paetzold,

Anjany Sekuboyina,

Ivan Ezhov,

Alexander Unger,

Andrey Zhylka,

Josien P. W. Pluim,

Ulrich Bauer,

Bjoern H. Menze; [pdf] [supp]
[bibtex]
@InProceedings{Shit_2021_CVPR, author = {Shit, Suprosanna and Paetzold, Johannes C. and Sekuboyina, Anjany and Ezhov, Ivan and Unger, Alexander and Zhylka, Andrey and Pluim, Josien P. W. and Bauer, Ulrich and Menze, Bjoern H.}, title = {clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16560-16569} }
Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model: Aupendu Kar,

Sobhan Kanti Dhara,

Debashis Sen,

Prabir Kumar Biswas; [pdf] [supp]
[bibtex]
@InProceedings{Kar_2021_CVPR, author = {Kar, Aupendu and Dhara, Sobhan Kanti and Sen, Debashis and Biswas, Prabir Kumar}, title = {Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16205-16215} }
Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation: Younghyun Jo,

Seoung Wug Oh,

Peter Vajda,

Seon Joo Kim; [pdf] [supp]
[bibtex]
@InProceedings{Jo_2021_CVPR, author = {Jo, Younghyun and Oh, Seoung Wug and Vajda, Peter and Kim, Seon Joo}, title = {Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16236-16245} }
Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing: Yuanyuan Yuan,

Shuai Wang,

Mingyue Jiang,

Tsong Yueh Chen; [pdf] [supp]
[bibtex]
@InProceedings{Yuan_2021_CVPR, author = {Yuan, Yuanyuan and Wang, Shuai and Jiang, Mingyue and Chen, Tsong Yueh}, title = {Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16908-16917} }
Adversarial Imaging Pipelines: Buu Phan,

Fahim Mannan,

Felix Heide; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Phan_2021_CVPR, author = {Phan, Buu and Mannan, Fahim and Heide, Felix}, title = {Adversarial Imaging Pipelines}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16051-16061} }
Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors: Jan Bechtold,

Maxim Tatarchenko,

Volker Fischer,

Thomas Brox; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bechtold_2021_CVPR, author = {Bechtold, Jan and Tatarchenko, Maxim and Fischer, Volker and Brox, Thomas}, title = {Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15880-15889} }
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association: Peisong Wen,

Qianqian Xu,

Yangbangyan Jiang,

Zhiyong Yang,

Yuan He,

Qingming Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wen_2021_CVPR, author = {Wen, Peisong and Xu, Qianqian and Jiang, Yangbangyan and Yang, Zhiyong and He, Yuan and Huang, Qingming}, title = {Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16347-16356} }
The Spatially-Correlative Loss for Various Image Translation Tasks: Chuanxia Zheng,

Tat-Jen Cham,

Jianfei Cai; [pdf] [arXiv]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Chuanxia and Cham, Tat-Jen and Cai, Jianfei}, title = {The Spatially-Correlative Loss for Various Image Translation Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16407-16417} }
NeRD: Neural 3D Reflection Symmetry Detector: Yichao Zhou,

Shichen Liu,

Yi Ma; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Yichao and Liu, Shichen and Ma, Yi}, title = {NeRD: Neural 3D Reflection Symmetry Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15940-15949} }
CoLA: Weakly-Supervised Temporal Action Localization With Snippet Contrastive Learning: Can Zhang,

Meng Cao,

Dongming Yang,

Jie Chen,

Yuexian Zou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Can and Cao, Meng and Yang, Dongming and Chen, Jie and Zou, Yuexian}, title = {CoLA: Weakly-Supervised Temporal Action Localization With Snippet Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16010-16019} }
End-to-End Object Detection With Fully Convolutional Network: Jianfeng Wang,

Lin Song,

Zeming Li,

Hongbin Sun,

Jian Sun,

Nanning Zheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Jianfeng and Song, Lin and Li, Zeming and Sun, Hongbin and Sun, Jian and Zheng, Nanning}, title = {End-to-End Object Detection With Fully Convolutional Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15849-15858} }
IronMask: Modular Architecture for Protecting Deep Face Template: Sunpill Kim,

Yunseong Jeong,

Jinsu Kim,

Jungkon Kim,

Hyung Tae Lee,

Jae Hong Seo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Sunpill and Jeong, Yunseong and Kim, Jinsu and Kim, Jungkon and Lee, Hyung Tae and Seo, Jae Hong}, title = {IronMask: Modular Architecture for Protecting Deep Face Template}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16125-16134} }
Weakly Supervised Video Salient Object Detection: Wangbo Zhao,

Jing Zhang,

Long Li,

Nick Barnes,

Nian Liu,

Junwei Han; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Wangbo and Zhang, Jing and Li, Long and Barnes, Nick and Liu, Nian and Han, Junwei}, title = {Weakly Supervised Video Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16826-16835} }
Pixel-Wise Anomaly Detection in Complex Driving Scenes: Giancarlo Di Biase,

Hermann Blum,

Roland Siegwart,

Cesar Cadena; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Di_Biase_2021_CVPR, author = {Di Biase, Giancarlo and Blum, Hermann and Siegwart, Roland and Cadena, Cesar}, title = {Pixel-Wise Anomaly Detection in Complex Driving Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16918-16927} }
A Dual Iterative Refinement Method for Non-Rigid Shape Matching: Rui Xiang,

Rongjie Lai,

Hongkai Zhao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xiang_2021_CVPR, author = {Xiang, Rui and Lai, Rongjie and Zhao, Hongkai}, title = {A Dual Iterative Refinement Method for Non-Rigid Shape Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15930-15939} }
Residential Floor Plan Recognition and Reconstruction: Xiaolei Lv,

Shengchu Zhao,

Xinyang Yu,

Binqiang Zhao; [pdf] [supp]
[bibtex]
@InProceedings{Lv_2021_CVPR, author = {Lv, Xiaolei and Zhao, Shengchu and Yu, Xinyang and Zhao, Binqiang}, title = {Residential Floor Plan Recognition and Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16717-16726} }
Regularization Strategy for Point Cloud via Rigidly Mixed Sample: Dogyoon Lee,

Jaeha Lee,

Junhyeop Lee,

Hyeongmin Lee,

Minhyeok Lee,

Sungmin Woo,

Sangyoun Lee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Dogyoon and Lee, Jaeha and Lee, Junhyeop and Lee, Hyeongmin and Lee, Minhyeok and Woo, Sungmin and Lee, Sangyoun}, title = {Regularization Strategy for Point Cloud via Rigidly Mixed Sample}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15900-15909} }
Domain Adaptation With Auxiliary Target Domain-Oriented Classifier: Jian Liang,

Dapeng Hu,

Jiashi Feng; [pdf] [arXiv]
[bibtex]
@InProceedings{Liang_2021_CVPR, author = {Liang, Jian and Hu, Dapeng and Feng, Jiashi}, title = {Domain Adaptation With Auxiliary Target Domain-Oriented Classifier}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16632-16642} }
HLA-Face: Joint High-Low Adaptation for Low Light Face Detection: Wenjing Wang,

Wenhan Yang,

Jiaying Liu; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Wenjing and Yang, Wenhan and Liu, Jiaying}, title = {HLA-Face: Joint High-Low Adaptation for Low Light Face Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16195-16204} }
DECOR-GAN: 3D Shape Detailization by Conditional Refinement: Zhiqin Chen,

Vladimir G. Kim,

Matthew Fisher,

Noam Aigerman,

Hao Zhang,

Siddhartha Chaudhuri; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Zhiqin and Kim, Vladimir G. and Fisher, Matthew and Aigerman, Noam and Zhang, Hao and Chaudhuri, Siddhartha}, title = {DECOR-GAN: 3D Shape Detailization by Conditional Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15740-15749} }
Model-Aware Gesture-to-Gesture Translation: Hezhen Hu,

Weilun Wang,

Wengang Zhou,

Weichao Zhao,

Houqiang Li; [pdf]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Hezhen and Wang, Weilun and Zhou, Wengang and Zhao, Weichao and Li, Houqiang}, title = {Model-Aware Gesture-to-Gesture Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16428-16437} }
Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning: Zhuoran Zheng,

Wenqi Ren,

Xiaochun Cao,

Xiaobin Hu,

Tao Wang,

Fenglong Song,

Xiuyi Jia; [pdf]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Zhuoran and Ren, Wenqi and Cao, Xiaochun and Hu, Xiaobin and Wang, Tao and Song, Fenglong and Jia, Xiuyi}, title = {Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16185-16194} }
Video Object Segmentation Using Global and Instance Embedding Learning: Wenbin Ge,

Xiankai Lu,

Jianbing Shen; [pdf] [supp]
[bibtex]
@InProceedings{Ge_2021_CVPR, author = {Ge, Wenbin and Lu, Xiankai and Shen, Jianbing}, title = {Video Object Segmentation Using Global and Instance Embedding Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16836-16845} }
Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings: Jaskirat Singh,

Liang Zheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Singh_2021_CVPR, author = {Singh, Jaskirat and Zheng, Liang}, title = {Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16387-16396} }
Event-Based Bispectral Photometry Using Temporally Modulated Illumination: Tsuyoshi Takatani,

Yuzuha Ito,

Ayaka Ebisu,

Yinqiang Zheng,

Takahito Aoto; [pdf] [supp]
[bibtex]
@InProceedings{Takatani_2021_CVPR, author = {Takatani, Tsuyoshi and Ito, Yuzuha and Ebisu, Ayaka and Zheng, Yinqiang and Aoto, Takahito}, title = {Event-Based Bispectral Photometry Using Temporally Modulated Illumination}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15638-15647} }
Meta-Mining Discriminative Samples for Kinship Verification: Wanhua Li,

Shiwei Wang,

Jiwen Lu,

Jianjiang Feng,

Jie Zhou; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Wanhua and Wang, Shiwei and Lu, Jiwen and Feng, Jianjiang and Zhou, Jie}, title = {Meta-Mining Discriminative Samples for Kinship Verification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16135-16144} }
XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations: Eunji Kim,

Siwon Kim,

Minji Seo,

Sungroh Yoon; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Eunji and Kim, Siwon and Seo, Minji and Yoon, Sungroh}, title = {XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15719-15728} }
Visual Navigation With Spatial Attention: Bar Mayo,

Tamir Hazan,

Ayellet Tal; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mayo_2021_CVPR, author = {Mayo, Bar and Hazan, Tamir and Tal, Ayellet}, title = {Visual Navigation With Spatial Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16898-16907} }
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations: Yang Tan,

Yang Li,

Shao-Lun Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tan_2021_CVPR, author = {Tan, Yang and Li, Yang and Huang, Shao-Lun}, title = {OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15779-15788} }
Inverting Generative Adversarial Renderer for Face Reconstruction: Jingtan Piao,

Keqiang Sun,

Quan Wang,

Kwan-Yee Lin,

Hongsheng Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Piao_2021_CVPR, author = {Piao, Jingtan and Sun, Keqiang and Wang, Quan and Lin, Kwan-Yee and Li, Hongsheng}, title = {Inverting Generative Adversarial Renderer for Face Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15619-15628} }
Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts: Yongxing Dai,

Xiaotong Li,

Jun Liu,

Zekun Tong,

Ling-Yu Duan; [pdf] [arXiv]
[bibtex]
@InProceedings{Dai_2021_CVPR, author = {Dai, Yongxing and Li, Xiaotong and Liu, Jun and Tong, Zekun and Duan, Ling-Yu}, title = {Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16145-16154} }
Multi-Perspective LSTM for Joint Visual Representation Learning: Alireza Sepas-Moghaddam,

Fernando Pereira,

Paulo Lobato Correia,

Ali Etemad; [pdf]
[bibtex]
@InProceedings{Sepas-Moghaddam_2021_CVPR, author = {Sepas-Moghaddam, Alireza and Pereira, Fernando and Correia, Paulo Lobato and Etemad, Ali}, title = {Multi-Perspective LSTM for Joint Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16540-16548} }
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation: Tran Anh Tuan,

Nguyen Tuan Khoa,

Tran Minh Quan,

Won-Ki Jeong; [pdf] [supp]
[bibtex]
@InProceedings{Tuan_2021_CVPR, author = {Tuan, Tran Anh and Khoa, Nguyen Tuan and Quan, Tran Minh and Jeong, Won-Ki}, title = {ColorRL: Reinforced Coloring for End-to-End Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16727-16736} }
LQF: Linear Quadratic Fine-Tuning: Alessandro Achille,

Aditya Golatkar,

Avinash Ravichandran,

Marzia Polito,

Stefano Soatto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Achille_2021_CVPR, author = {Achille, Alessandro and Golatkar, Aditya and Ravichandran, Avinash and Polito, Marzia and Soatto, Stefano}, title = {LQF: Linear Quadratic Fine-Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15729-15739} }
S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation: Yu-Kai Huang,

Yueh-Cheng Liu,

Tsung-Han Wu,

Hung-Ting Su,

Yu-Cheng Chang,

Tsung-Lin Tsou,

Yu-An Wang,

Winston H. Hsu; [pdf] [supp]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Yu-Kai and Liu, Yueh-Cheng and Wu, Tsung-Han and Su, Hung-Ting and Chang, Yu-Cheng and Tsou, Tsung-Lin and Wang, Yu-An and Hsu, Winston H.}, title = {S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16706-16716} }
Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation: Tong Wu,

Junshi Huang,

Guangyu Gao,

Xiaoming Wei,

Xiaolin Wei,

Xuan Luo,

Chi Harold Liu; [pdf]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Tong and Huang, Junshi and Gao, Guangyu and Wei, Xiaoming and Wei, Xiaolin and Luo, Xuan and Liu, Chi Harold}, title = {Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16765-16774} }
FrameExit: Conditional Early Exiting for Efficient Video Recognition: Amir Ghodrati,

Babak Ehteshami Bejnordi,

Amirhossein Habibian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ghodrati_2021_CVPR, author = {Ghodrati, Amir and Bejnordi, Babak Ehteshami and Habibian, Amirhossein}, title = {FrameExit: Conditional Early Exiting for Efficient Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15608-15618} }
Co-Attention for Conditioned Image Matching: Olivia Wiles,

Sebastien Ehrhardt,

Andrew Zisserman; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wiles_2021_CVPR, author = {Wiles, Olivia and Ehrhardt, Sebastien and Zisserman, Andrew}, title = {Co-Attention for Conditioned Image Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15920-15929} }
Spherical Confidence Learning for Face Recognition: Shen Li,

Jianqing Xu,

Xiaqing Xu,

Pengcheng Shen,

Shaoxin Li,

Bryan Hooi; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Shen and Xu, Jianqing and Xu, Xiaqing and Shen, Pengcheng and Li, Shaoxin and Hooi, Bryan}, title = {Spherical Confidence Learning for Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15629-15637} }
How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines: Kunal Chelani,

Fredrik Kahl,

Torsten Sattler; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chelani_2021_CVPR, author = {Chelani, Kunal and Kahl, Fredrik and Sattler, Torsten}, title = {How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15668-15678} }
Multi-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance: Ziang Cheng,

Hongdong Li,

Yuta Asano,

Yinqiang Zheng,

Imari Sato; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cheng_2021_CVPR, author = {Cheng, Ziang and Li, Hongdong and Asano, Yuta and Zheng, Yinqiang and Sato, Imari}, title = {Multi-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16226-16235} }
Deep Polarization Imaging for 3D Shape and SVBRDF Acquisition: Valentin Deschaintre,

Yiming Lin,

Abhijeet Ghosh; [pdf] [arXiv]
[bibtex]
@InProceedings{Deschaintre_2021_CVPR, author = {Deschaintre, Valentin and Lin, Yiming and Ghosh, Abhijeet}, title = {Deep Polarization Imaging for 3D Shape and SVBRDF Acquisition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15567-15576} }
Continual Learning via Bit-Level Information Preserving: Yujun Shi,

Li Yuan,

Yunpeng Chen,

Jiashi Feng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shi_2021_CVPR, author = {Shi, Yujun and Yuan, Li and Chen, Yunpeng and Feng, Jiashi}, title = {Continual Learning via Bit-Level Information Preserving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16674-16683} }
High-Fidelity and Arbitrary Face Editing: Yue Gao,

Fangyun Wei,

Jianmin Bao,

Shuyang Gu,

Dong Chen,

Fang Wen,

Zhouhui Lian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2021_CVPR, author = {Gao, Yue and Wei, Fangyun and Bao, Jianmin and Gu, Shuyang and Chen, Dong and Wen, Fang and Lian, Zhouhui}, title = {High-Fidelity and Arbitrary Face Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16115-16124} }
Unpaired Image-to-Image Translation via Latent Energy Transport: Yang Zhao,

Changyou Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yang and Chen, Changyou}, title = {Unpaired Image-to-Image Translation via Latent Energy Transport}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16418-16427} }
Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks: Takuhiro Kaneko; [pdf]
[bibtex]
@InProceedings{Kaneko_2021_CVPR, author = {Kaneko, Takuhiro}, title = {Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15679-15688} }
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models: Tianlong Chen,

Jonathan Frankle,

Shiyu Chang,

Sijia Liu,

Yang Zhang,

Michael Carbin,

Zhangyang Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Tianlong and Frankle, Jonathan and Chang, Shiyu and Liu, Sijia and Zhang, Yang and Carbin, Michael and Wang, Zhangyang}, title = {The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16306-16316} }
Look Before You Speak: Visually Contextualized Utterances: Paul Hongsuck Seo,

Arsha Nagrani,

Cordelia Schmid; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Seo_2021_CVPR, author = {Seo, Paul Hongsuck and Nagrani, Arsha and Schmid, Cordelia}, title = {Look Before You Speak: Visually Contextualized Utterances}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16877-16887} }
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network: Rui Liu,

Yixiao Ge,

Ching Lam Choi,

Xiaogang Wang,

Hongsheng Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Rui and Ge, Yixiao and Choi, Ching Lam and Wang, Xiaogang and Li, Hongsheng}, title = {DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16377-16386} }
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging: Tao Huang,

Weisheng Dong,

Xin Yuan,

Jinjian Wu,

Guangming Shi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Tao and Dong, Weisheng and Yuan, Xin and Wu, Jinjian and Shi, Guangming}, title = {Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16216-16225} }
Hyperdimensional Computing as a Framework for Systematic Aggregation of Image Descriptors: Peer Neubert,

Stefan Schubert; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Neubert_2021_CVPR, author = {Neubert, Peer and Schubert, Stefan}, title = {Hyperdimensional Computing as a Framework for Systematic Aggregation of Image Descriptors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16938-16947} }
PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering: Jang Hyun Cho,

Utkarsh Mall,

Kavita Bala,

Bharath Hariharan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cho_2021_CVPR, author = {Cho, Jang Hyun and Mall, Utkarsh and Bala, Kavita and Hariharan, Bharath}, title = {PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16794-16804} }
NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning: Hyunho Ha,

Joo Ho Lee,

Andreas Meuleman,

Min H. Kim; [pdf] [supp]
[bibtex]
@InProceedings{Ha_2021_CVPR, author = {Ha, Hyunho and Lee, Joo Ho and Meuleman, Andreas and Kim, Min H.}, title = {NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15970-15979} }
General Multi-Label Image Classification With Transformers: Jack Lanchantin,

Tianlu Wang,

Vicente Ordonez,

Yanjun Qi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lanchantin_2021_CVPR, author = {Lanchantin, Jack and Wang, Tianlu and Ordonez, Vicente and Qi, Yanjun}, title = {General Multi-Label Image Classification With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16478-16488} }
Partial Feature Selection and Alignment for Multi-Source Domain Adaptation: Yangye Fu,

Ming Zhang,

Xing Xu,

Zuo Cao,

Chao Ma,

Yanli Ji,

Kai Zuo,

Huimin Lu; [pdf]
[bibtex]
@InProceedings{Fu_2021_CVPR, author = {Fu, Yangye and Zhang, Ming and Xu, Xing and Cao, Zuo and Ma, Chao and Ji, Yanli and Zuo, Kai and Lu, Huimin}, title = {Partial Feature Selection and Alignment for Multi-Source Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16654-16663} }
UAV-Human: A Large Benchmark for Human Behavior Understanding With Unmanned Aerial Vehicles: Tianjiao Li,

Jun Liu,

Wei Zhang,

Yun Ni,

Wenqian Wang,

Zhiheng Li; [pdf]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Tianjiao and Liu, Jun and Zhang, Wei and Ni, Yun and Wang, Wenqian and Li, Zhiheng}, title = {UAV-Human: A Large Benchmark for Human Behavior Understanding With Unmanned Aerial Vehicles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16266-16275} }
Diversifying Sample Generation for Accurate Data-Free Quantization: Xiangguo Zhang,

Haotong Qin,

Yifu Ding,

Ruihao Gong,

Qinghua Yan,

Renshuai Tao,

Yuhang Li,

Fengwei Yu,

Xianglong Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xiangguo and Qin, Haotong and Ding, Yifu and Gong, Ruihao and Yan, Qinghua and Tao, Renshuai and Li, Yuhang and Yu, Fengwei and Liu, Xianglong}, title = {Diversifying Sample Generation for Accurate Data-Free Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15658-15667} }
To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels: Yuning Chai,

Pei Sun,

Jiquan Ngiam,

Weiyue Wang,

Benjamin Caine,

Vijay Vasudevan,

Xiao Zhang,

Dragomir Anguelov; [pdf] [supp]
[bibtex]
@InProceedings{Chai_2021_CVPR, author = {Chai, Yuning and Sun, Pei and Ngiam, Jiquan and Wang, Weiyue and Caine, Benjamin and Vasudevan, Vijay and Zhang, Xiao and Anguelov, Dragomir}, title = {To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16000-16009} }
Memory-Efficient Network for Large-Scale Video Compressive Sensing: Ziheng Cheng,

Bo Chen,

Guanliang Liu,

Hao Zhang,

Ruiying Lu,

Zhengjue Wang,

Xin Yuan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cheng_2021_CVPR, author = {Cheng, Ziheng and Chen, Bo and Liu, Guanliang and Zhang, Hao and Lu, Ruiying and Wang, Zhengjue and Yuan, Xin}, title = {Memory-Efficient Network for Large-Scale Video Compressive Sensing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16246-16255} }
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search: Lumin Xu,

Yingda Guan,

Sheng Jin,

Wentao Liu,

Chen Qian,

Ping Luo,

Wanli Ouyang,

Xiaogang Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Lumin and Guan, Yingda and Jin, Sheng and Liu, Wentao and Qian, Chen and Luo, Ping and Ouyang, Wanli and Wang, Xiaogang}, title = {ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16072-16081} }
Amalgamating Knowledge From Heterogeneous Graph Neural Networks: Yongcheng Jing,

Yiding Yang,

Xinchao Wang,

Mingli Song,

Dacheng Tao; [pdf]
[bibtex]
@InProceedings{Jing_2021_CVPR, author = {Jing, Yongcheng and Yang, Yiding and Wang, Xinchao and Song, Mingli and Tao, Dacheng}, title = {Amalgamating Knowledge From Heterogeneous Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15709-15718} }
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation: Xinyi Wu,

Zhenyao Wu,

Hao Guo,

Lili Ju,

Song Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Xinyi and Wu, Zhenyao and Guo, Hao and Ju, Lili and Wang, Song}, title = {DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15769-15778} }
See Through Gradients: Image Batch Recovery via GradInversion: Hongxu Yin,

Arun Mallya,

Arash Vahdat,

Jose M. Alvarez,

Jan Kautz,

Pavlo Molchanov; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yin_2021_CVPR, author = {Yin, Hongxu and Mallya, Arun and Vahdat, Arash and Alvarez, Jose M. and Kautz, Jan and Molchanov, Pavlo}, title = {See Through Gradients: Image Batch Recovery via GradInversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16337-16346} }
LPSNet: A Lightweight Solution for Fast Panoptic Segmentation: Weixiang Hong,

Qingpei Guo,

Wei Zhang,

Jingdong Chen,

Wei Chu; [pdf]
[bibtex]
@InProceedings{Hong_2021_CVPR, author = {Hong, Weixiang and Guo, Qingpei and Zhang, Wei and Chen, Jingdong and Chu, Wei}, title = {LPSNet: A Lightweight Solution for Fast Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16746-16754} }
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics: Yanzhao Wu,

Ling Liu,

Zhongwei Xie,

Ka-Ho Chow,

Wenqi Wei; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Yanzhao and Liu, Ling and Xie, Zhongwei and Chow, Ka-Ho and Wei, Wenqi}, title = {Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16469-16477} }
Wasserstein Contrastive Representation Distillation: Liqun Chen,

Dong Wang,

Zhe Gan,

Jingjing Liu,

Ricardo Henao,

Lawrence Carin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Liqun and Wang, Dong and Gan, Zhe and Liu, Jingjing and Henao, Ricardo and Carin, Lawrence}, title = {Wasserstein Contrastive Representation Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16296-16305} }
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization: Guangming Wang,

Xinrui Wu,

Zhe Liu,

Hesheng Wang; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Guangming and Wu, Xinrui and Liu, Zhe and Wang, Hesheng}, title = {PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15910-15919} }
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias: Yunhan Zhao,

Shu Kong,

Charless Fowlkes; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yunhan and Kong, Shu and Fowlkes, Charless}, title = {Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15759-15768} }
Graph Stacked Hourglass Networks for 3D Human Pose Estimation: Tianhan Xu,

Wataru Takano; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Tianhan and Takano, Wataru}, title = {Graph Stacked Hourglass Networks for 3D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16105-16114} }
Domain-Independent Dominance of Adaptive Methods: Pedro Savarese,

David McAllester,

Sudarshan Babu,

Michael Maire; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Savarese_2021_CVPR, author = {Savarese, Pedro and McAllester, David and Babu, Sudarshan and Maire, Michael}, title = {Domain-Independent Dominance of Adaptive Methods}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16286-16295} }
SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements: Qianli Ma,

Shunsuke Saito,

Jinlong Yang,

Siyu Tang,

Michael J. Black; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ma_2021_CVPR, author = {Ma, Qianli and Saito, Shunsuke and Yang, Jinlong and Tang, Siyu and Black, Michael J.}, title = {SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16082-16093} }
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks: Julieta Martinez,

Jashan Shewakramani,

Ting Wei Liu,

Ioan Andrei Barsan,

Wenyuan Zeng,

Raquel Urtasun; [pdf]
[bibtex]
@InProceedings{Martinez_2021_CVPR, author = {Martinez, Julieta and Shewakramani, Jashan and Liu, Ting Wei and Barsan, Ioan Andrei and Zeng, Wenyuan and Urtasun, Raquel}, title = {Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15699-15708} }
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection: Xue Yang,

Liping Hou,

Yue Zhou,

Wentao Wang,

Junchi Yan; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Xue and Hou, Liping and Zhou, Yue and Wang, Wentao and Yan, Junchi}, title = {Dense Label Encoding for Boundary Discontinuity Free Rotation Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15819-15829} }
Track, Check, Repeat: An EM Approach to Unsupervised Tracking: Adam W. Harley,

Yiming Zuo,

Jing Wen,

Ayush Mangal,

Shubhankar Potdar,

Ritwick Chaudhry,

Katerina Fragkiadaki; [pdf] [arXiv]
[bibtex]
@InProceedings{Harley_2021_CVPR, author = {Harley, Adam W. and Zuo, Yiming and Wen, Jing and Mangal, Ayush and Potdar, Shubhankar and Chaudhry, Ritwick and Fragkiadaki, Katerina}, title = {Track, Check, Repeat: An EM Approach to Unsupervised Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16581-16591} }
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction: Sriram Narayanan,

Ramin Moslemi,

Francesco Pittaluga,

Buyu Liu,

Manmohan Chandraker; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Narayanan_2021_CVPR, author = {Narayanan, Sriram and Moslemi, Ramin and Pittaluga, Francesco and Liu, Buyu and Chandraker, Manmohan}, title = {Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15799-15808} }
Probabilistic 3D Human Shape and Pose Estimation From Multiple Unconstrained Images in the Wild: Akash Sengupta,

Ignas Budvytis,

Roberto Cipolla; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sengupta_2021_CVPR, author = {Sengupta, Akash and Budvytis, Ignas and Cipolla, Roberto}, title = {Probabilistic 3D Human Shape and Pose Estimation From Multiple Unconstrained Images in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16094-16104} }
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts: Ji Hou,

Benjamin Graham,

Matthias Niessner,

Saining Xie; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hou_2021_CVPR, author = {Hou, Ji and Graham, Benjamin and Niessner, Matthias and Xie, Saining}, title = {Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15587-15597} }
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition: Ayan Kumar Bhunia,

Shuvozit Ghose,

Amandeep Kumar,

Pinaki Nath Chowdhury,

Aneeshan Sain,

Yi-Zhe Song; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bhunia_2021_CVPR, author = {Bhunia, Ayan Kumar and Ghose, Shuvozit and Kumar, Amandeep and Chowdhury, Pinaki Nath and Sain, Aneeshan and Song, Yi-Zhe}, title = {MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15830-15839} }
PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery: Tianyi Zhang,

Jie Lin,

Peng Hu,

Bin Zhao,

Mohamed M. Sabry Aly; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Tianyi and Lin, Jie and Hu, Peng and Zhao, Bin and Aly, Mohamed M. Sabry}, title = {PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15840-15848} }
Read and Attend: Temporal Localisation in Sign Language Videos: Gul Varol,

Liliane Momeni,

Samuel Albanie,

Triantafyllos Afouras,

Andrew Zisserman; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Varol_2021_CVPR, author = {Varol, Gul and Momeni, Liliane and Albanie, Samuel and Afouras, Triantafyllos and Zisserman, Andrew}, title = {Read and Attend: Temporal Localisation in Sign Language Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16857-16866} }
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation: Denis Gudovskiy,

Luca Rigazio,

Shun Ishizaka,

Kazuki Kozuka,

Sotaro Tsukizawa; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gudovskiy_2021_CVPR, author = {Gudovskiy, Denis and Rigazio, Luca and Ishizaka, Shun and Kozuka, Kazuki and Tsukizawa, Sotaro}, title = {AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16601-16610} }
Few-Shot Transformation of Common Actions Into Time and Space: Pengwan Yang,

Pascal Mettes,

Cees G. M. Snoek; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Pengwan and Mettes, Pascal and Snoek, Cees G. M.}, title = {Few-Shot Transformation of Common Actions Into Time and Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16031-16040} }
NeuralRecon: Real-Time Coherent 3D Reconstruction From Monocular Video: Jiaming Sun,

Yiming Xie,

Linghao Chen,

Xiaowei Zhou,

Hujun Bao; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Jiaming and Xie, Yiming and Chen, Linghao and Zhou, Xiaowei and Bao, Hujun}, title = {NeuralRecon: Real-Time Coherent 3D Reconstruction From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15598-15607} }
Magic Layouts: Structural Prior for Component Detection in User Interface Designs: Dipu Manandhar,

Hailin Jin,

John Collomosse; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Manandhar_2021_CVPR, author = {Manandhar, Dipu and Jin, Hailin and Collomosse, John}, title = {Magic Layouts: Structural Prior for Component Detection in User Interface Designs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15809-15818} }
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation: Guoqiang Wei,

Cuiling Lan,

Wenjun Zeng,

Zhibo Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wei_2021_CVPR, author = {Wei, Guoqiang and Lan, Cuiling and Zeng, Wenjun and Chen, Zhibo}, title = {MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16643-16653} }
Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning: Liu Bo,

Qiulei Dong,

Zhanyi Hu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bo_2021_CVPR, author = {Bo, Liu and Dong, Qiulei and Hu, Zhanyi}, title = {Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16499-16508} }
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining: Xiaoliang Dai,

Alvin Wan,

Peizhao Zhang,

Bichen Wu,

Zijian He,

Zhen Wei,

Kan Chen,

Yuandong Tian,

Matthew Yu,

Peter Vajda,

Joseph E. Gonzalez; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dai_2021_CVPR, author = {Dai, Xiaoliang and Wan, Alvin and Zhang, Peizhao and Wu, Bichen and He, Zijian and Wei, Zhen and Chen, Kan and Tian, Yuandong and Yu, Matthew and Vajda, Peter and Gonzalez, Joseph E.}, title = {FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16276-16285} }
Intrinsic Image Harmonization: Zonghui Guo,

Haiyong Zheng,

Yufeng Jiang,

Zhaorui Gu,

Bing Zheng; [pdf] [supp]
[bibtex]
@InProceedings{Guo_2021_CVPR, author = {Guo, Zonghui and Zheng, Haiyong and Jiang, Yufeng and Gu, Zhaorui and Zheng, Bing}, title = {Intrinsic Image Harmonization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16367-16376} }
Learning To Fuse Asymmetric Feature Maps in Siamese Trackers: Wencheng Han,

Xingping Dong,

Fahad Shahbaz Khan,

Ling Shao,

Jianbing Shen; [pdf] [arXiv]
[bibtex]
@InProceedings{Han_2021_CVPR, author = {Han, Wencheng and Dong, Xingping and Khan, Fahad Shahbaz and Shao, Ling and Shen, Jianbing}, title = {Learning To Fuse Asymmetric Feature Maps in Siamese Trackers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16570-16580} }
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink: Ranjie Duan,

Xiaofeng Mao,

A. K. Qin,

Yuefeng Chen,

Shaokai Ye,

Yuan He,

Yun Yang; [pdf] [arXiv]
[bibtex]
@InProceedings{Duan_2021_CVPR, author = {Duan, Ranjie and Mao, Xiaofeng and Qin, A. K. and Chen, Yuefeng and Ye, Shaokai and He, Yuan and Yang, Yun}, title = {Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16062-16071} }
Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles: Jevgenij Gamper,

Nasir Rajpoot; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gamper_2021_CVPR, author = {Gamper, Jevgenij and Rajpoot, Nasir}, title = {Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16549-16559} }
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation: Gu Wang,

Fabian Manhardt,

Federico Tombari,

Xiangyang Ji; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Gu and Manhardt, Fabian and Tombari, Federico and Ji, Xiangyang}, title = {GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16611-16621} }
Generalizing Face Forgery Detection With High-Frequency Features: Yuchen Luo,

Yong Zhang,

Junchi Yan,

Wei Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Yuchen and Zhang, Yong and Yan, Junchi and Liu, Wei}, title = {Generalizing Face Forgery Detection With High-Frequency Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16317-16326} }
Time Lens: Event-Based Video Frame Interpolation: Stepan Tulyakov,

Daniel Gehrig,

Stamatios Georgoulis,

Julius Erbach,

Mathias Gehrig,

Yuanyou Li,

Davide Scaramuzza; [pdf] [supp]
[bibtex]
@InProceedings{Tulyakov_2021_CVPR, author = {Tulyakov, Stepan and Gehrig, Daniel and Georgoulis, Stamatios and Erbach, Julius and Gehrig, Mathias and Li, Yuanyou and Scaramuzza, Davide}, title = {Time Lens: Event-Based Video Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16155-16164} }
Troubleshooting Blind Image Quality Models in the Wild: Zhihua Wang,

Haotao Wang,

Tianlong Chen,

Zhangyang Wang,

Kede Ma; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Zhihua and Wang, Haotao and Chen, Tianlong and Wang, Zhangyang and Ma, Kede}, title = {Troubleshooting Blind Image Quality Models in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16256-16265} }
Improving Calibration for Long-Tailed Recognition: Zhisheng Zhong,

Jiequan Cui,

Shu Liu,

Jiaya Jia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhong_2021_CVPR, author = {Zhong, Zhisheng and Cui, Jiequan and Liu, Shu and Jia, Jiaya}, title = {Improving Calibration for Long-Tailed Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16489-16498} }
View-Guided Point Cloud Completion: Xuancheng Zhang,

Yutong Feng,

Siqi Li,

Changqing Zou,

Hai Wan,

Xibin Zhao,

Yandong Guo,

Yue Gao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xuancheng and Feng, Yutong and Li, Siqi and Zou, Changqing and Wan, Hai and Zhao, Xibin and Guo, Yandong and Gao, Yue}, title = {View-Guided Point Cloud Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15890-15899} }
Global2Local: Efficient Structure Search for Video Action Segmentation: Shang-Hua Gao,

Qi Han,

Zhong-Yu Li,

Pai Peng,

Liang Wang,

Ming-Ming Cheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2021_CVPR, author = {Gao, Shang-Hua and Han, Qi and Li, Zhong-Yu and Peng, Pai and Wang, Liang and Cheng, Ming-Ming}, title = {Global2Local: Efficient Structure Search for Video Action Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16805-16814} }
MoViNets: Mobile Video Networks for Efficient Video Recognition: Dan Kondratyuk,

Liangzhe Yuan,

Yandong Li,

Li Zhang,

Mingxing Tan,

Matthew Brown,

Boqing Gong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kondratyuk_2021_CVPR, author = {Kondratyuk, Dan and Yuan, Liangzhe and Li, Yandong and Zhang, Li and Tan, Mingxing and Brown, Matthew and Gong, Boqing}, title = {MoViNets: Mobile Video Networks for Efficient Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16020-16030} }
Pseudo 3D Auto-Correlation Network for Real Image Denoising: Xiaowan Hu,

Ruijun Ma,

Zhihong Liu,

Yuanhao Cai,

Xiaole Zhao,

Yulun Zhang,

Haoqian Wang; [pdf]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Xiaowan and Ma, Ruijun and Liu, Zhihong and Cai, Yuanhao and Zhao, Xiaole and Zhang, Yulun and Wang, Haoqian}, title = {Pseudo 3D Auto-Correlation Network for Real Image Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16175-16184} }; Back