CVPR 2021 Open Access Repository

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Invertible Denoising Network: A Light Solution for Real Noise Removal: Yang Liu,

Zhenyue Qin,

Saeed Anwar,

Pan Ji,

Dongwoo Kim,

Sabrina Caldwell,

Tom Gedeon; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yang and Qin, Zhenyue and Anwar, Saeed and Ji, Pan and Kim, Dongwoo and Caldwell, Sabrina and Gedeon, Tom}, title = {Invertible Denoising Network: A Light Solution for Real Noise Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13365-13374} }
Encoder Fusion Network With Co-Attention Embedding for Referring Image Segmentation: Guang Feng,

Zhiwei Hu,

Lihe Zhang,

Huchuan Lu; [pdf] [arXiv]
[bibtex]
@InProceedings{Feng_2021_CVPR, author = {Feng, Guang and Hu, Zhiwei and Zhang, Lihe and Lu, Huchuan}, title = {Encoder Fusion Network With Co-Attention Embedding for Referring Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15506-15515} }
Counterfactual Zero-Shot and Open-Set Visual Recognition: Zhongqi Yue,

Tan Wang,

Qianru Sun,

Xian-Sheng Hua,

Hanwang Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yue_2021_CVPR, author = {Yue, Zhongqi and Wang, Tan and Sun, Qianru and Hua, Xian-Sheng and Zhang, Hanwang}, title = {Counterfactual Zero-Shot and Open-Set Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15404-15414} }
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition: Stephen Hausler,

Sourav Garg,

Ming Xu,

Michael Milford,

Tobias Fischer; [pdf] [supp]
[bibtex]
@InProceedings{Hausler_2021_CVPR, author = {Hausler, Stephen and Garg, Sourav and Xu, Ming and Milford, Michael and Fischer, Tobias}, title = {Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14141-14152} }
Visually Informed Binaural Audio Generation without Binaural Audios: Xudong Xu,

Hang Zhou,

Ziwei Liu,

Bo Dai,

Xiaogang Wang,

Dahua Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Xudong and Zhou, Hang and Liu, Ziwei and Dai, Bo and Wang, Xiaogang and Lin, Dahua}, title = {Visually Informed Binaural Audio Generation without Binaural Audios}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15485-15494} }
Dual Attention Guided Gaze Target Detection in the Wild: Yi Fang,

Jiapeng Tang,

Wang Shen,

Wei Shen,

Xiao Gu,

Li Song,

Guangtao Zhai; [pdf]
[bibtex]
@InProceedings{Fang_2021_CVPR, author = {Fang, Yi and Tang, Jiapeng and Shen, Wang and Shen, Wei and Gu, Xiao and Song, Li and Zhai, Guangtao}, title = {Dual Attention Guided Gaze Target Detection in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11390-11399} }
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling: Wei Ji,

Shuang Yu,

Junde Wu,

Kai Ma,

Cheng Bian,

Qi Bi,

Jingjing Li,

Hanruo Liu,

Li Cheng,

Yefeng Zheng; [pdf]
[bibtex]
@InProceedings{Ji_2021_CVPR, author = {Ji, Wei and Yu, Shuang and Wu, Junde and Ma, Kai and Bian, Cheng and Bi, Qi and Li, Jingjing and Liu, Hanruo and Cheng, Li and Zheng, Yefeng}, title = {Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12341-12351} }
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors: Chaoqi Chen,

Zebiao Zheng,

Yue Huang,

Xinghao Ding,

Yizhou Yu; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Chaoqi and Zheng, Zebiao and Huang, Yue and Ding, Xinghao and Yu, Yizhou}, title = {I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12576-12585} }
Pixel-Aligned Volumetric Avatars: Amit Raj,

Michael Zollhofer,

Tomas Simon,

Jason Saragih,

Shunsuke Saito,

James Hays,

Stephen Lombardi; [pdf] [supp]
[bibtex]
@InProceedings{Raj_2021_CVPR, author = {Raj, Amit and Zollhofer, Michael and Simon, Tomas and Saragih, Jason and Saito, Shunsuke and Hays, James and Lombardi, Stephen}, title = {Pixel-Aligned Volumetric Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11733-11742} }
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification: Jianwen Xie,

Yifei Xu,

Zilong Zheng,

Song-Chun Zhu,

Ying Nian Wu; [pdf] [arXiv]
[bibtex]
@InProceedings{Xie_2021_CVPR, author = {Xie, Jianwen and Xu, Yifei and Zheng, Zilong and Zhu, Song-Chun and Wu, Ying Nian}, title = {Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14976-14985} }
Blur, Noise, and Compression Robust Generative Adversarial Networks: Takuhiro Kaneko,

Tatsuya Harada; [pdf] [arXiv]
[bibtex]
@InProceedings{Kaneko_2021_CVPR, author = {Kaneko, Takuhiro and Harada, Tatsuya}, title = {Blur, Noise, and Compression Robust Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13579-13589} }
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect: Athena Sayles,

Ashish Hooda,

Mohit Gupta,

Rahul Chatterjee,

Earlence Fernandes; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sayles_2021_CVPR, author = {Sayles, Athena and Hooda, Ashish and Gupta, Mohit and Chatterjee, Rahul and Fernandes, Earlence}, title = {Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14666-14675} }
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search: Yu-Chao Gu,

Li-Juan Wang,

Yun Liu,

Yi Yang,

Yu-Huan Wu,

Shao-Ping Lu,

Ming-Ming Cheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gu_2021_CVPR, author = {Gu, Yu-Chao and Wang, Li-Juan and Liu, Yun and Yang, Yi and Wu, Yu-Huan and Lu, Shao-Ping and Cheng, Ming-Ming}, title = {DOTS: Decoupling Operation and Topology in Differentiable Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12311-12320} }
Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model: Julian Lienen,

Eyke Hullermeier,

Ralph Ewerth,

Nils Nommensen; [pdf] [supp]
[bibtex]
@InProceedings{Lienen_2021_CVPR, author = {Lienen, Julian and Hullermeier, Eyke and Ewerth, Ralph and Nommensen, Nils}, title = {Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14595-14604} }
SSAN: Separable Self-Attention Network for Video Representation Learning: Xudong Guo,

Xun Guo,

Yan Lu; [pdf] [arXiv]
[bibtex]
@InProceedings{Guo_2021_CVPR, author = {Guo, Xudong and Guo, Xun and Lu, Yan}, title = {SSAN: Separable Self-Attention Network for Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12618-12627} }
Natural Adversarial Examples: Dan Hendrycks,

Kevin Zhao,

Steven Basart,

Jacob Steinhardt,

Dawn Song; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hendrycks_2021_CVPR, author = {Hendrycks, Dan and Zhao, Kevin and Basart, Steven and Steinhardt, Jacob and Song, Dawn}, title = {Natural Adversarial Examples}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15262-15271} }
SliceNet: Deep Dense Depth Estimation From a Single Indoor Panorama Using a Slice-Based Representation: Giovanni Pintore,

Marco Agus,

Eva Almansa,

Jens Schneider,

Enrico Gobbetti; [pdf] [supp]
[bibtex]
@InProceedings{Pintore_2021_CVPR, author = {Pintore, Giovanni and Agus, Marco and Almansa, Eva and Schneider, Jens and Gobbetti, Enrico}, title = {SliceNet: Deep Dense Depth Estimation From a Single Indoor Panorama Using a Slice-Based Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11536-11545} }
STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering: Wentao Yuan,

Zhaoyang Lv,

Tanner Schmidt,

Steven Lovegrove; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yuan_2021_CVPR, author = {Yuan, Wentao and Lv, Zhaoyang and Schmidt, Tanner and Lovegrove, Steven}, title = {STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13144-13152} }
Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections: Prashant Pandey,

Mrigank Raman,

Sumanth Varambally,

Prathosh AP; [pdf] [supp]
[bibtex]
@InProceedings{Pandey_2021_CVPR, author = {Pandey, Prashant and Raman, Mrigank and Varambally, Sumanth and AP, Prathosh}, title = {Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12924-12933} }
Communication Efficient SGD via Gradient Sampling With Bayes Prior: Liuyihan Song,

Kang Zhao,

Pan Pan,

Yu Liu,

Yingya Zhang,

Yinghui Xu,

Rong Jin; [pdf]
[bibtex]
@InProceedings{Song_2021_CVPR, author = {Song, Liuyihan and Zhao, Kang and Pan, Pan and Liu, Yu and Zhang, Yingya and Xu, Yinghui and Jin, Rong}, title = {Communication Efficient SGD via Gradient Sampling With Bayes Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12065-12074} }
VirFace: Enhancing Face Recognition via Unlabeled Shallow Data: Wenyu Li,

Tianchu Guo,

Pengyu Li,

Binghui Chen,

Biao Wang,

Wangmeng Zuo,

Lei Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Wenyu and Guo, Tianchu and Li, Pengyu and Chen, Binghui and Wang, Biao and Zuo, Wangmeng and Zhang, Lei}, title = {VirFace: Enhancing Face Recognition via Unlabeled Shallow Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14729-14738} }
Visualizing Adapted Knowledge in Domain Transfer: Yunzhong Hou,

Liang Zheng; [pdf] [arXiv]
[bibtex]
@InProceedings{Hou_2021_CVPR, author = {Hou, Yunzhong and Zheng, Liang}, title = {Visualizing Adapted Knowledge in Domain Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13824-13833} }
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling: Ze Yang,

Shenlong Wang,

Sivabalan Manivasagam,

Zeng Huang,

Wei-Chiu Ma,

Xinchen Yan,

Ersin Yumer,

Raquel Urtasun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Ze and Wang, Shenlong and Manivasagam, Sivabalan and Huang, Zeng and Ma, Wei-Chiu and Yan, Xinchen and Yumer, Ersin and Urtasun, Raquel}, title = {S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13284-13293} }
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection: Jia-Chang Feng,

Fa-Ting Hong,

Wei-Shi Zheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Feng_2021_CVPR, author = {Feng, Jia-Chang and Hong, Fa-Ting and Zheng, Wei-Shi}, title = {MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14009-14018} }
Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression: Zigang Geng,

Ke Sun,

Bin Xiao,

Zhaoxiang Zhang,

Jingdong Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Geng_2021_CVPR, author = {Geng, Zigang and Sun, Ke and Xiao, Bin and Zhang, Zhaoxiang and Wang, Jingdong}, title = {Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14676-14686} }
CoMoGAN: Continuous Model-Guided Image-to-Image Translation: Fabio Pizzati,

Pietro Cerri,

Raoul de Charette; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pizzati_2021_CVPR, author = {Pizzati, Fabio and Cerri, Pietro and de Charette, Raoul}, title = {CoMoGAN: Continuous Model-Guided Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14288-14298} }
Self-Supervised Video Hashing via Bidirectional Transformers: Shuyan Li,

Xiu Li,

Jiwen Lu,

Jie Zhou; [pdf]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Shuyan and Li, Xiu and Lu, Jiwen and Zhou, Jie}, title = {Self-Supervised Video Hashing via Bidirectional Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13549-13558} }
Safe Local Motion Planning With Self-Supervised Freespace Forecasting: Peiyun Hu,

Aaron Huang,

John Dolan,

David Held,

Deva Ramanan; [pdf] [supp]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Peiyun and Huang, Aaron and Dolan, John and Held, David and Ramanan, Deva}, title = {Safe Local Motion Planning With Self-Supervised Freespace Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12732-12741} }
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration: Xingyu Chen,

Yufeng Liu,

Chongyang Ma,

Jianlong Chang,

Huayan Wang,

Tian Chen,

Xiaoyan Guo,

Pengfei Wan,

Wen Zheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Xingyu and Liu, Yufeng and Ma, Chongyang and Chang, Jianlong and Wang, Huayan and Chen, Tian and Guo, Xiaoyan and Wan, Pengfei and Zheng, Wen}, title = {Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13274-13283} }
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation: Seunghun Lee,

Sunghyun Cho,

Sunghoon Im; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Seunghun and Cho, Sunghyun and Im, Sunghoon}, title = {DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15252-15261} }
Multi-Decoding Deraining Network and Quasi-Sparsity Based Training: Yinglong Wang,

Chao Ma,

Bing Zeng; [pdf]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Yinglong and Ma, Chao and Zeng, Bing}, title = {Multi-Decoding Deraining Network and Quasi-Sparsity Based Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13375-13384} }
Open-Vocabulary Object Detection Using Captions: Alireza Zareian,

Kevin Dela Rosa,

Derek Hao Hu,

Shih-Fu Chang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zareian_2021_CVPR, author = {Zareian, Alireza and Rosa, Kevin Dela and Hu, Derek Hao and Chang, Shih-Fu}, title = {Open-Vocabulary Object Detection Using Captions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14393-14402} }
Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization: Xingjia Pan,

Yingguo Gao,

Zhiwen Lin,

Fan Tang,

Weiming Dong,

Haolei Yuan,

Feiyue Huang,

Changsheng Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pan_2021_CVPR, author = {Pan, Xingjia and Gao, Yingguo and Lin, Zhiwen and Tang, Fan and Dong, Weiming and Yuan, Haolei and Huang, Feiyue and Xu, Changsheng}, title = {Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11642-11651} }
Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning: Bin Li,

Yin Li,

Kevin W. Eliceiri; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Bin and Li, Yin and Eliceiri, Kevin W.}, title = {Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14318-14328} }
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks: Jiahang Wang,

Sheng Jin,

Wentao Liu,

Weizhong Liu,

Chen Qian,

Ping Luo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Jiahang and Jin, Sheng and Liu, Wentao and Liu, Weizhong and Qian, Chen and Luo, Ping}, title = {When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11855-11864} }
ReMix: Towards Image-to-Image Translation With Limited Data: Jie Cao,

Luanxuan Hou,

Ming-Hsuan Yang,

Ran He,

Zhenan Sun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cao_2021_CVPR, author = {Cao, Jie and Hou, Luanxuan and Yang, Ming-Hsuan and He, Ran and Sun, Zhenan}, title = {ReMix: Towards Image-to-Image Translation With Limited Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15018-15027} }
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance: Kaihua Zhang,

Mingliang Dong,

Bo Liu,

Xiao-Tong Yuan,

Qingshan Liu; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Kaihua and Dong, Mingliang and Liu, Bo and Yuan, Xiao-Tong and Liu, Qingshan}, title = {DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13703-13712} }
Rich Features for Perceptual Quality Assessment of UGC Videos: Yilin Wang,

Junjie Ke,

Hossein Talebi,

Joong Gon Yim,

Neil Birkbeck,

Balu Adsumilli,

Peyman Milanfar,

Feng Yang; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Yilin and Ke, Junjie and Talebi, Hossein and Yim, Joong Gon and Birkbeck, Neil and Adsumilli, Balu and Milanfar, Peyman and Yang, Feng}, title = {Rich Features for Perceptual Quality Assessment of UGC Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13435-13444} }
Stable View Synthesis: Gernot Riegler,

Vladlen Koltun; [pdf] [arXiv]
[bibtex]
@InProceedings{Riegler_2021_CVPR, author = {Riegler, Gernot and Koltun, Vladlen}, title = {Stable View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12216-12225} }
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes: Dmytro Kotovenko,

Matthias Wright,

Arthur Heimbrecht,

Bjorn Ommer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kotovenko_2021_CVPR, author = {Kotovenko, Dmytro and Wright, Matthias and Heimbrecht, Arthur and Ommer, Bjorn}, title = {Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12196-12205} }
Quantum Permutation Synchronization: Tolga Birdal,

Vladislav Golyanik,

Christian Theobalt,

Leonidas J. Guibas; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Birdal_2021_CVPR, author = {Birdal, Tolga and Golyanik, Vladislav and Theobalt, Christian and Guibas, Leonidas J.}, title = {Quantum Permutation Synchronization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13122-13133} }
MagFace: A Universal Representation for Face Recognition and Quality Assessment: Qiang Meng,

Shichao Zhao,

Zhida Huang,

Feng Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Meng_2021_CVPR, author = {Meng, Qiang and Zhao, Shichao and Huang, Zhida and Zhou, Feng}, title = {MagFace: A Universal Representation for Face Recognition and Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14225-14234} }
Unsupervised Hyperbolic Metric Learning: Jiexi Yan,

Lei Luo,

Cheng Deng,

Heng Huang; [pdf]
[bibtex]
@InProceedings{Yan_2021_CVPR, author = {Yan, Jiexi and Luo, Lei and Deng, Cheng and Huang, Heng}, title = {Unsupervised Hyperbolic Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12465-12474} }
Few-Shot Incremental Learning With Continually Evolved Classifiers: Chi Zhang,

Nan Song,

Guosheng Lin,

Yun Zheng,

Pan Pan,

Yinghui Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Chi and Song, Nan and Lin, Guosheng and Zheng, Yun and Pan, Pan and Xu, Yinghui}, title = {Few-Shot Incremental Learning With Continually Evolved Classifiers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12455-12464} }
ArtEmis: Affective Language for Visual Art: Panos Achlioptas,

Maks Ovsjanikov,

Kilichbek Haydarov,

Mohamed Elhoseiny,

Leonidas J. Guibas; [pdf] [arXiv]
[bibtex]
@InProceedings{Achlioptas_2021_CVPR, author = {Achlioptas, Panos and Ovsjanikov, Maks and Haydarov, Kilichbek and Elhoseiny, Mohamed and Guibas, Leonidas J.}, title = {ArtEmis: Affective Language for Visual Art}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11569-11579} }
Learning Normal Dynamics in Videos With Meta Prototype Network: Hui Lv,

Chen Chen,

Zhen Cui,

Chunyan Xu,

Yong Li,

Jian Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lv_2021_CVPR, author = {Lv, Hui and Chen, Chen and Cui, Zhen and Xu, Chunyan and Li, Yong and Yang, Jian}, title = {Learning Normal Dynamics in Videos With Meta Prototype Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15425-15434} }
Graph-Based High-Order Relation Discovery for Fine-Grained Recognition: Yifan Zhao,

Ke Yan,

Feiyue Huang,

Jia Li; [pdf]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yifan and Yan, Ke and Huang, Feiyue and Li, Jia}, title = {Graph-Based High-Order Relation Discovery for Fine-Grained Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15079-15088} }
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration: Zhengang Li,

Geng Yuan,

Wei Niu,

Pu Zhao,

Yanyu Li,

Yuxuan Cai,

Xuan Shen,

Zheng Zhan,

Zhenglun Kong,

Qing Jin,

Zhiyu Chen,

Sijia Liu,

Kaiyuan Yang,

Bin Ren,

Yanzhi Wang,

Xue Lin; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Zhengang and Yuan, Geng and Niu, Wei and Zhao, Pu and Li, Yanyu and Cai, Yuxuan and Shen, Xuan and Zhan, Zheng and Kong, Zhenglun and Jin, Qing and Chen, Zhiyu and Liu, Sijia and Yang, Kaiyuan and Ren, Bin and Wang, Yanzhi and Lin, Xue}, title = {NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14255-14266} }
Single Image Reflection Removal With Absorption Effect: Qian Zheng,

Boxin Shi,

Jinnan Chen,

Xudong Jiang,

Ling-Yu Duan,

Alex C. Kot; [pdf] [supp]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Qian and Shi, Boxin and Chen, Jinnan and Jiang, Xudong and Duan, Ling-Yu and Kot, Alex C.}, title = {Single Image Reflection Removal With Absorption Effect}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13395-13404} }
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification: Zijian Hu,

Zhengyu Yang,

Xuefeng Hu,

Ram Nevatia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Zijian and Yang, Zhengyu and Hu, Xuefeng and Nevatia, Ram}, title = {SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15099-15108} }
Context-Aware Layout to Image Generation With Enhanced Object Appearance: Sen He,

Wentong Liao,

Michael Ying Yang,

Yongxin Yang,

Yi-Zhe Song,

Bodo Rosenhahn,

Tao Xiang; [pdf] [arXiv]
[bibtex]
@InProceedings{He_2021_CVPR, author = {He, Sen and Liao, Wentong and Yang, Michael Ying and Yang, Yongxin and Song, Yi-Zhe and Rosenhahn, Bodo and Xiang, Tao}, title = {Context-Aware Layout to Image Generation With Enhanced Object Appearance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15049-15058} }
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images: Florian Kluger,

Hanno Ackermann,

Eric Brachmann,

Michael Ying Yang,

Bodo Rosenhahn; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kluger_2021_CVPR, author = {Kluger, Florian and Ackermann, Hanno and Brachmann, Eric and Yang, Michael Ying and Rosenhahn, Bodo}, title = {Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13070-13079} }
Attention-Guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton: Xi Zhang,

Xiaolin Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xi and Wu, Xiaolin}, title = {Attention-Guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13354-13364} }
Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering: Huafeng Liu,

Jiaqi Wang,

Liping Jing; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Huafeng and Wang, Jiaqi and Jing, Liping}, title = {Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15109-15118} }
Reciprocal Transformations for Unsupervised Video Object Segmentation: Sucheng Ren,

Wenxi Liu,

Yongtuo Liu,

Haoxin Chen,

Guoqiang Han,

Shengfeng He; [pdf] [supp]
[bibtex]
@InProceedings{Ren_2021_CVPR, author = {Ren, Sucheng and Liu, Wenxi and Liu, Yongtuo and Chen, Haoxin and Han, Guoqiang and He, Shengfeng}, title = {Reciprocal Transformations for Unsupervised Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15455-15464} }
Panoptic Segmentation Forecasting: Colin Graber,

Grace Tsai,

Michael Firman,

Gabriel Brostow,

Alexander G. Schwing; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Graber_2021_CVPR, author = {Graber, Colin and Tsai, Grace and Firman, Michael and Brostow, Gabriel and Schwing, Alexander G.}, title = {Panoptic Segmentation Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12517-12526} }
SuperMix: Supervising the Mixing Data Augmentation: Ali Dabouei,

Sobhan Soleymani,

Fariborz Taherkhani,

Nasser M. Nasrabadi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dabouei_2021_CVPR, author = {Dabouei, Ali and Soleymani, Sobhan and Taherkhani, Fariborz and Nasrabadi, Nasser M.}, title = {SuperMix: Supervising the Mixing Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13794-13803} }
Inception Convolution With Efficient Dilation Search: Jie Liu,

Chuming Li,

Feng Liang,

Chen Lin,

Ming Sun,

Junjie Yan,

Wanli Ouyang,

Dong Xu; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Jie and Li, Chuming and Liang, Feng and Lin, Chen and Sun, Ming and Yan, Junjie and Ouyang, Wanli and Xu, Dong}, title = {Inception Convolution With Efficient Dilation Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11486-11495} }
Connecting What To Say With Where To Look by Modeling Human Attention Traces: Zihang Meng,

Licheng Yu,

Ning Zhang,

Tamara L. Berg,

Babak Damavandi,

Vikas Singh,

Amy Bearman; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Meng_2021_CVPR, author = {Meng, Zihang and Yu, Licheng and Zhang, Ning and Berg, Tamara L. and Damavandi, Babak and Singh, Vikas and Bearman, Amy}, title = {Connecting What To Say With Where To Look by Modeling Human Attention Traces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12679-12688} }
Ensembling With Deep Generative Views: Lucy Chai,

Jun-Yan Zhu,

Eli Shechtman,

Phillip Isola,

Richard Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chai_2021_CVPR, author = {Chai, Lucy and Zhu, Jun-Yan and Shechtman, Eli and Isola, Phillip and Zhang, Richard}, title = {Ensembling With Deep Generative Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14997-15007} }
Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss: Lu Zhang,

Shuigeng Zhou,

Jihong Guan,

Ji Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Lu and Zhou, Shuigeng and Guan, Jihong and Zhang, Ji}, title = {Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14424-14432} }
Toward Accurate and Realistic Outfits Visualization With Attention to Details: Kedan Li,

Min Jin Chong,

Jeffrey Zhang,

Jingen Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Kedan and Chong, Min Jin and Zhang, Jeffrey and Liu, Jingen}, title = {Toward Accurate and Realistic Outfits Visualization With Attention to Details}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15546-15555} }
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation: Haoxin Chen,

Hanjie Wu,

Nanxuan Zhao,

Sucheng Ren,

Shengfeng He; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Haoxin and Wu, Hanjie and Zhao, Nanxuan and Ren, Sucheng and He, Shengfeng}, title = {Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14040-14049} }
Group Collaborative Learning for Co-Salient Object Detection: Qi Fan,

Deng-Ping Fan,

Huazhu Fu,

Chi-Keung Tang,

Ling Shao,

Yu-Wing Tai; [pdf] [arXiv]
[bibtex]
@InProceedings{Fan_2021_CVPR, author = {Fan, Qi and Fan, Deng-Ping and Fu, Huazhu and Tang, Chi-Keung and Shao, Ling and Tai, Yu-Wing}, title = {Group Collaborative Learning for Co-Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12288-12298} }
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening: Sungha Choi,

Sanghun Jung,

Huiwon Yun,

Joanne T. Kim,

Seungryong Kim,

Jaegul Choo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Choi_2021_CVPR, author = {Choi, Sungha and Jung, Sanghun and Yun, Huiwon and Kim, Joanne T. and Kim, Seungryong and Choo, Jaegul}, title = {RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11580-11590} }
Pre-Trained Image Processing Transformer: Hanting Chen,

Yunhe Wang,

Tianyu Guo,

Chang Xu,

Yiping Deng,

Zhenhua Liu,

Siwei Ma,

Chunjing Xu,

Chao Xu,

Wen Gao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Hanting and Wang, Yunhe and Guo, Tianyu and Xu, Chang and Deng, Yiping and Liu, Zhenhua and Ma, Siwei and Xu, Chunjing and Xu, Chao and Gao, Wen}, title = {Pre-Trained Image Processing Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12299-12310} }
Panoptic-PolarNet: Proposal-Free LiDAR Point Cloud Panoptic Segmentation: Zixiang Zhou,

Yang Zhang,

Hassan Foroosh; [pdf] [supp]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Zixiang and Zhang, Yang and Foroosh, Hassan}, title = {Panoptic-PolarNet: Proposal-Free LiDAR Point Cloud Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13194-13203} }
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals: Peize Sun,

Rufeng Zhang,

Yi Jiang,

Tao Kong,

Chenfeng Xu,

Wei Zhan,

Masayoshi Tomizuka,

Lei Li,

Zehuan Yuan,

Changhu Wang,

Ping Luo; [pdf]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Peize and Zhang, Rufeng and Jiang, Yi and Kong, Tao and Xu, Chenfeng and Zhan, Wei and Tomizuka, Masayoshi and Li, Lei and Yuan, Zehuan and Wang, Changhu and Luo, Ping}, title = {Sparse R-CNN: End-to-End Object Detection With Learnable Proposals}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14454-14463} }
Conditional Bures Metric for Domain Adaptation: You-Wei Luo,

Chuan-Xian Ren; [pdf] [supp]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, You-Wei and Ren, Chuan-Xian}, title = {Conditional Bures Metric for Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13989-13998} }
Semi-Supervised 3D Hand-Object Poses Estimation With Interactions in Time: Shaowei Liu,

Hanwen Jiang,

Jiarui Xu,

Sifei Liu,

Xiaolong Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Shaowei and Jiang, Hanwen and Xu, Jiarui and Liu, Sifei and Wang, Xiaolong}, title = {Semi-Supervised 3D Hand-Object Poses Estimation With Interactions in Time}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14687-14697} }
Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times: Omer Dahary,

Matan Jacoby,

Alex M. Bronstein; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dahary_2021_CVPR, author = {Dahary, Omer and Jacoby, Matan and Bronstein, Alex M.}, title = {Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11936-11945} }
Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach: Xingqian Xu,

Zhifei Zhang,

Zhaowen Wang,

Brian Price,

Zhonghao Wang,

Humphrey Shi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Xingqian and Zhang, Zhifei and Wang, Zhaowen and Price, Brian and Wang, Zhonghao and Shi, Humphrey}, title = {Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12045-12055} }
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings: Mihai Dusmanu,

Johannes L. Schonberger,

Sudipta N. Sinha,

Marc Pollefeys; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dusmanu_2021_CVPR, author = {Dusmanu, Mihai and Schonberger, Johannes L. and Sinha, Sudipta N. and Pollefeys, Marc}, title = {Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14267-14277} }
STMTrack: Template-Free Visual Tracking With Space-Time Memory Networks: Zhihong Fu,

Qingjie Liu,

Zehua Fu,

Yunhong Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fu_2021_CVPR, author = {Fu, Zhihong and Liu, Qingjie and Fu, Zehua and Wang, Yunhong}, title = {STMTrack: Template-Free Visual Tracking With Space-Time Memory Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13774-13783} }
Audio-Driven Emotional Video Portraits: Xinya Ji,

Hang Zhou,

Kaisiyuan Wang,

Wayne Wu,

Chen Change Loy,

Xun Cao,

Feng Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ji_2021_CVPR, author = {Ji, Xinya and Zhou, Hang and Wang, Kaisiyuan and Wu, Wayne and Loy, Chen Change and Cao, Xun and Xu, Feng}, title = {Audio-Driven Emotional Video Portraits}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14080-14089} }
Pareto Self-Supervised Training for Few-Shot Learning: Zhengyu Chen,

Jixie Ge,

Heshen Zhan,

Siteng Huang,

Donglin Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Zhengyu and Ge, Jixie and Zhan, Heshen and Huang, Siteng and Wang, Donglin}, title = {Pareto Self-Supervised Training for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13663-13672} }
EnD: Entangling and Disentangling Deep Representations for Bias Correction: Enzo Tartaglione,

Carlo Alberto Barbano,

Marco Grangetto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tartaglione_2021_CVPR, author = {Tartaglione, Enzo and Barbano, Carlo Alberto and Grangetto, Marco}, title = {EnD: Entangling and Disentangling Deep Representations for Bias Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13508-13517} }
Sequence-to-Sequence Contrastive Learning for Text Recognition: Aviad Aberdam,

Ron Litman,

Shahar Tsiper,

Oron Anschel,

Ron Slossberg,

Shai Mazor,

R. Manmatha,

Pietro Perona; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Aberdam_2021_CVPR, author = {Aberdam, Aviad and Litman, Ron and Tsiper, Shahar and Anschel, Oron and Slossberg, Ron and Mazor, Shai and Manmatha, R. and Perona, Pietro}, title = {Sequence-to-Sequence Contrastive Learning for Text Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15302-15312} }
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction: Dongsheng An,

Jianwen Xie,

Ping Li; [pdf] [supp]
[bibtex]
@InProceedings{An_2021_CVPR, author = {An, Dongsheng and Xie, Jianwen and Li, Ping}, title = {Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15415-15424} }
Self-Supervised Geometric Perception: Heng Yang,

Wei Dong,

Luca Carlone,

Vladlen Koltun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Heng and Dong, Wei and Carlone, Luca and Koltun, Vladlen}, title = {Self-Supervised Geometric Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14350-14361} }
UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification: Tianyu Zhang,

Lingxi Xie,

Longhui Wei,

Zijie Zhuang,

Yongfei Zhang,

Bo Li,

Qi Tian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Tianyu and Xie, Lingxi and Wei, Longhui and Zhuang, Zijie and Zhang, Yongfei and Li, Bo and Tian, Qi}, title = {UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11506-11515} }
House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects: Nelson Nauata,

Sepidehsadat Hosseini,

Kai-Hung Chang,

Hang Chu,

Chin-Yi Cheng,

Yasutaka Furukawa; [pdf] [supp]
[bibtex]
@InProceedings{Nauata_2021_CVPR, author = {Nauata, Nelson and Hosseini, Sepidehsadat and Chang, Kai-Hung and Chu, Hang and Cheng, Chin-Yi and Furukawa, Yasutaka}, title = {House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13632-13641} }
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking: Fatemeh Saleh,

Sadegh Aliakbarian,

Hamid Rezatofighi,

Mathieu Salzmann,

Stephen Gould; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Saleh_2021_CVPR, author = {Saleh, Fatemeh and Aliakbarian, Sadegh and Rezatofighi, Hamid and Salzmann, Mathieu and Gould, Stephen}, title = {Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14329-14339} }
GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition: Fengmin Shi,

Jie Guo,

Haonan Zhang,

Shan Yang,

Xiying Wang,

Yanwen Guo; [pdf] [supp]
[bibtex]
@InProceedings{Shi_2021_CVPR, author = {Shi, Fengmin and Guo, Jie and Zhang, Haonan and Yang, Shan and Wang, Xiying and Guo, Yanwen}, title = {GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14433-14442} }
Populating 3D Scenes by Learning Human-Scene Interaction: Mohamed Hassan,

Partha Ghosh,

Joachim Tesch,

Dimitrios Tzionas,

Michael J. Black; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hassan_2021_CVPR, author = {Hassan, Mohamed and Ghosh, Partha and Tesch, Joachim and Tzionas, Dimitrios and Black, Michael J.}, title = {Populating 3D Scenes by Learning Human-Scene Interaction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14708-14718} }
Variational Pedestrian Detection: Yuang Zhang,

Huanyu He,

Jianguo Li,

Yuxi Li,

John See,

Weiyao Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yuang and He, Huanyu and Li, Jianguo and Li, Yuxi and See, John and Lin, Weiyao}, title = {Variational Pedestrian Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11622-11631} }
Causal Hidden Markov Model for Time Series Disease Forecasting: Jing Li,

Botong Wu,

Xinwei Sun,

Yizhou Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Jing and Wu, Botong and Sun, Xinwei and Wang, Yizhou}, title = {Causal Hidden Markov Model for Time Series Disease Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12105-12114} }
Focus on Local: Detecting Lane Marker From Bottom Up via Key Point: Zhan Qu,

Huan Jin,

Yang Zhou,

Zhen Yang,

Wei Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Qu_2021_CVPR, author = {Qu, Zhan and Jin, Huan and Zhou, Yang and Yang, Zhen and Zhang, Wei}, title = {Focus on Local: Detecting Lane Marker From Bottom Up via Key Point}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14122-14130} }
Scene-Aware Generative Network for Human Motion Synthesis: Jingbo Wang,

Sijie Yan,

Bo Dai,

Dahua Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Jingbo and Yan, Sijie and Dai, Bo and Lin, Dahua}, title = {Scene-Aware Generative Network for Human Motion Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12206-12215} }
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training: Luke Melas-Kyriazi,

Arjun K. Manrai; [pdf] [supp]
[bibtex]
@InProceedings{Melas-Kyriazi_2021_CVPR, author = {Melas-Kyriazi, Luke and Manrai, Arjun K.}, title = {PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12435-12445} }
Variational Prototype Learning for Deep Face Recognition: Jiankang Deng,

Jia Guo,

Jing Yang,

Alexandros Lattas,

Stefanos Zafeiriou; [pdf]
[bibtex]
@InProceedings{Deng_2021_CVPR, author = {Deng, Jiankang and Guo, Jia and Yang, Jing and Lattas, Alexandros and Zafeiriou, Stefanos}, title = {Variational Prototype Learning for Deep Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11906-11915} }
Optimal Quantization Using Scaled Codebook: Yerlan Idelbayev,

Pavlo Molchanov,

Maying Shen,

Hongxu Yin,

Miguel A. Carreira-Perpinan,

Jose M. Alvarez; [pdf]
[bibtex]
@InProceedings{Idelbayev_2021_CVPR, author = {Idelbayev, Yerlan and Molchanov, Pavlo and Shen, Maying and Yin, Hongxu and Carreira-Perpinan, Miguel A. and Alvarez, Jose M.}, title = {Optimal Quantization Using Scaled Codebook}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12095-12104} }
RPN Prototype Alignment for Domain Adaptive Object Detector: Yixin Zhang,

Zilei Wang,

Yushi Mao; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yixin and Wang, Zilei and Mao, Yushi}, title = {RPN Prototype Alignment for Domain Adaptive Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12425-12434} }
Binary TTC: A Temporal Geofence for Autonomous Navigation: Abhishek Badki,

Orazio Gallo,

Jan Kautz,

Pradeep Sen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Badki_2021_CVPR, author = {Badki, Abhishek and Gallo, Orazio and Kautz, Jan and Sen, Pradeep}, title = {Binary TTC: A Temporal Geofence for Autonomous Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12946-12955} }
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds: Parth Kothari,

Brian Sifringer,

Alexandre Alahi; [pdf] [arXiv]
[bibtex]
@InProceedings{Kothari_2021_CVPR, author = {Kothari, Parth and Sifringer, Brian and Alahi, Alexandre}, title = {Interpretable Social Anchors for Human Trajectory Forecasting in Crowds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15556-15566} }
Trajectory Prediction With Latent Belief Energy-Based Model: Bo Pang,

Tianyang Zhao,

Xu Xie,

Ying Nian Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pang_2021_CVPR, author = {Pang, Bo and Zhao, Tianyang and Xie, Xu and Wu, Ying Nian}, title = {Trajectory Prediction With Latent Belief Energy-Based Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11814-11824} }
Coordinate Attention for Efficient Mobile Network Design: Qibin Hou,

Daquan Zhou,

Jiashi Feng; [pdf] [arXiv]
[bibtex]
@InProceedings{Hou_2021_CVPR, author = {Hou, Qibin and Zhou, Daquan and Feng, Jiashi}, title = {Coordinate Attention for Efficient Mobile Network Design}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13713-13722} }
Intentonomy: A Dataset and Study Towards Human Intent Understanding: Menglin Jia,

Zuxuan Wu,

Austin Reiter,

Claire Cardie,

Serge Belongie,

Ser-Nam Lim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jia_2021_CVPR, author = {Jia, Menglin and Wu, Zuxuan and Reiter, Austin and Cardie, Claire and Belongie, Serge and Lim, Ser-Nam}, title = {Intentonomy: A Dataset and Study Towards Human Intent Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12986-12996} }
End-to-End Rotation Averaging With Multi-Source Propagation: Luwei Yang,

Heng Li,

Jamal Ahmed Rahim,

Zhaopeng Cui,

Ping Tan; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Luwei and Li, Heng and Rahim, Jamal Ahmed and Cui, Zhaopeng and Tan, Ping}, title = {End-to-End Rotation Averaging With Multi-Source Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11774-11783} }
Anticipating Human Actions by Correlating Past With the Future With Jaccard Similarity Measures: Basura Fernando,

Samitha Herath; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fernando_2021_CVPR, author = {Fernando, Basura and Herath, Samitha}, title = {Anticipating Human Actions by Correlating Past With the Future With Jaccard Similarity Measures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13224-13233} }
A 3D GAN for Improved Large-Pose Facial Recognition: Richard T. Marriott,

Sami Romdhani,

Liming Chen; [pdf] [arXiv]
[bibtex]
@InProceedings{Marriott_2021_CVPR, author = {Marriott, Richard T. and Romdhani, Sami and Chen, Liming}, title = {A 3D GAN for Improved Large-Pose Facial Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13445-13455} }
TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking: N Dinesh Reddy,

Laurent Guigues,

Leonid Pishchulin,

Jayan Eledath,

Srinivasa G. Narasimhan; [pdf] [supp]
[bibtex]
@InProceedings{Reddy_2021_CVPR, author = {Reddy, N Dinesh and Guigues, Laurent and Pishchulin, Leonid and Eledath, Jayan and Narasimhan, Srinivasa G.}, title = {TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15190-15200} }
HVPR: Hybrid Voxel-Point Representation for Single-Stage 3D Object Detection: Jongyoun Noh,

Sanghoon Lee,

Bumsub Ham; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Noh_2021_CVPR, author = {Noh, Jongyoun and Lee, Sanghoon and Ham, Bumsub}, title = {HVPR: Hybrid Voxel-Point Representation for Single-Stage 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14605-14614} }
SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition: Yan Xia,

Yusheng Xu,

Shuang Li,

Rui Wang,

Juan Du,

Daniel Cremers,

Uwe Stilla; [pdf]
[bibtex]
@InProceedings{Xia_2021_CVPR, author = {Xia, Yan and Xu, Yusheng and Li, Shuang and Wang, Rui and Du, Juan and Cremers, Daniel and Stilla, Uwe}, title = {SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11348-11357} }
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control: Tomas Jakab,

Richard Tucker,

Ameesh Makadia,

Jiajun Wu,

Noah Snavely,

Angjoo Kanazawa; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jakab_2021_CVPR, author = {Jakab, Tomas and Tucker, Richard and Makadia, Ameesh and Wu, Jiajun and Snavely, Noah and Kanazawa, Angjoo}, title = {KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12783-12792} }
A2-FPN: Attention Aggregation Based Feature Pyramid Network for Instance Segmentation: Miao Hu,

Yali Li,

Lu Fang,

Shengjin Wang; [pdf] [supp]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Miao and Li, Yali and Fang, Lu and Wang, Shengjin}, title = {A2-FPN: Attention Aggregation Based Feature Pyramid Network for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15343-15352} }
Simultaneously Localize, Segment and Rank the Camouflaged Objects: Yunqiu Lv,

Jing Zhang,

Yuchao Dai,

Aixuan Li,

Bowen Liu,

Nick Barnes,

Deng-Ping Fan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lv_2021_CVPR, author = {Lv, Yunqiu and Zhang, Jing and Dai, Yuchao and Li, Aixuan and Liu, Bowen and Barnes, Nick and Fan, Deng-Ping}, title = {Simultaneously Localize, Segment and Rank the Camouflaged Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11591-11601} }
DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion: Arda Duzceker,

Silvano Galliani,

Christoph Vogel,

Pablo Speciale,

Mihai Dusmanu,

Marc Pollefeys; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Duzceker_2021_CVPR, author = {Duzceker, Arda and Galliani, Silvano and Vogel, Christoph and Speciale, Pablo and Dusmanu, Mihai and Pollefeys, Marc}, title = {DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15324-15333} }
Towards Accurate Text-Based Image Captioning With Content Diversity Exploration: Guanghui Xu,

Shuaicheng Niu,

Mingkui Tan,

Yucheng Luo,

Qing Du,

Qi Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Guanghui and Niu, Shuaicheng and Tan, Mingkui and Luo, Yucheng and Du, Qing and Wu, Qi}, title = {Towards Accurate Text-Based Image Captioning With Content Diversity Exploration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12637-12646} }
Relevance-CAM: Your Model Already Knows Where To Look: Jeong Ryong Lee,

Sewon Kim,

Inyong Park,

Taejoon Eo,

Dosik Hwang; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Jeong Ryong and Kim, Sewon and Park, Inyong and Eo, Taejoon and Hwang, Dosik}, title = {Relevance-CAM: Your Model Already Knows Where To Look}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14944-14953} }
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation: Bowen Cheng,

Ross Girshick,

Piotr Dollar,

Alexander C. Berg,

Alexander Kirillov; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cheng_2021_CVPR, author = {Cheng, Bowen and Girshick, Ross and Dollar, Piotr and Berg, Alexander C. and Kirillov, Alexander}, title = {Boundary IoU: Improving Object-Centric Image Segmentation Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15334-15342} }
POSEFusion: Pose-Guided Selective Fusion for Single-View Human Volumetric Capture: Zhe Li,

Tao Yu,

Zerong Zheng,

Kaiwen Guo,

Yebin Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Zhe and Yu, Tao and Zheng, Zerong and Guo, Kaiwen and Liu, Yebin}, title = {POSEFusion: Pose-Guided Selective Fusion for Single-View Human Volumetric Capture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14162-14172} }
Continuous Face Aging via Self-Estimated Residual Age Embedding: Zeqi Li,

Ruowei Jiang,

Parham Aarabi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Zeqi and Jiang, Ruowei and Aarabi, Parham}, title = {Continuous Face Aging via Self-Estimated Residual Age Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15008-15017} }
Jigsaw Clustering for Unsupervised Visual Representation Learning: Pengguang Chen,

Shu Liu,

Jiaya Jia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Pengguang and Liu, Shu and Jia, Jiaya}, title = {Jigsaw Clustering for Unsupervised Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11526-11535} }
Square Root Bundle Adjustment for Large-Scale Reconstruction: Nikolaus Demmel,

Christiane Sommer,

Daniel Cremers,

Vladyslav Usenko; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Demmel_2021_CVPR, author = {Demmel, Nikolaus and Sommer, Christiane and Cremers, Daniel and Usenko, Vladyslav}, title = {Square Root Bundle Adjustment for Large-Scale Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11723-11732} }
PatchMatch-Based Neighborhood Consensus for Semantic Correspondence: Jae Yong Lee,

Joseph DeGol,

Victor Fragoso,

Sudipta N. Sinha; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Jae Yong and DeGol, Joseph and Fragoso, Victor and Sinha, Sudipta N.}, title = {PatchMatch-Based Neighborhood Consensus for Semantic Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13153-13163} }
Representative Forgery Mining for Fake Face Detection: Chengrui Wang,

Weihong Deng; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Chengrui and Deng, Weihong}, title = {Representative Forgery Mining for Fake Face Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14923-14932} }
Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation: Chufeng Tang,

Hang Chen,

Xiao Li,

Jianmin Li,

Zhaoxiang Zhang,

Xiaolin Hu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2021_CVPR, author = {Tang, Chufeng and Chen, Hang and Li, Xiao and Li, Jianmin and Zhang, Zhaoxiang and Hu, Xiaolin}, title = {Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13926-13935} }
ChallenCap: Monocular 3D Capture of Challenging Human Performances Using Multi-Modal References: Yannan He,

Anqi Pang,

Xin Chen,

Han Liang,

Minye Wu,

Yuexin Ma,

Lan Xu; [pdf] [arXiv]
[bibtex]
@InProceedings{He_2021_CVPR, author = {He, Yannan and Pang, Anqi and Chen, Xin and Liang, Han and Wu, Minye and Ma, Yuexin and Xu, Lan}, title = {ChallenCap: Monocular 3D Capture of Challenging Human Performances Using Multi-Modal References}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11400-11411} }
Hallucination Improves Few-Shot Object Detection: Weilin Zhang,

Yu-Xiong Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Weilin and Wang, Yu-Xiong}, title = {Hallucination Improves Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13008-13017} }
Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes: Mohamad Shahbazi,

Zhiwu Huang,

Danda Pani Paudel,

Ajad Chhatkuli,

Luc Van Gool; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shahbazi_2021_CVPR, author = {Shahbazi, Mohamad and Huang, Zhiwu and Paudel, Danda Pani and Chhatkuli, Ajad and Van Gool, Luc}, title = {Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12167-12176} }
Fully Convolutional Scene Graph Generation: Hengyue Liu,

Ning Yan,

Masood Mortazavi,

Bir Bhanu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Hengyue and Yan, Ning and Mortazavi, Masood and Bhanu, Bir}, title = {Fully Convolutional Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11546-11556} }
Sparse Multi-Path Corrections in Fringe Projection Profilometry: Yu Zhang,

Daniel Lau,

David Wipf; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yu and Lau, Daniel and Wipf, David}, title = {Sparse Multi-Path Corrections in Fringe Projection Profilometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13344-13353} }
Energy-Based Learning for Scene Graph Generation: Mohammed Suhail,

Abhay Mittal,

Behjat Siddiquie,

Chris Broaddus,

Jayan Eledath,

Gerard Medioni,

Leonid Sigal; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Suhail_2021_CVPR, author = {Suhail, Mohammed and Mittal, Abhay and Siddiquie, Behjat and Broaddus, Chris and Eledath, Jayan and Medioni, Gerard and Sigal, Leonid}, title = {Energy-Based Learning for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13936-13945} }
UV-Net: Learning From Boundary Representations: Pradeep Kumar Jayaraman,

Aditya Sanghi,

Joseph G. Lambourne,

Karl D.D. Willis,

Thomas Davies,

Hooman Shayani,

Nigel Morris; [pdf] [supp]
[bibtex]
@InProceedings{Jayaraman_2021_CVPR, author = {Jayaraman, Pradeep Kumar and Sanghi, Aditya and Lambourne, Joseph G. and Willis, Karl D.D. and Davies, Thomas and Shayani, Hooman and Morris, Nigel}, title = {UV-Net: Learning From Boundary Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11703-11712} }
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation: Sanjay Kariyappa,

Atul Prakash,

Moinuddin K Qureshi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kariyappa_2021_CVPR, author = {Kariyappa, Sanjay and Prakash, Atul and Qureshi, Moinuddin K}, title = {MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13814-13823} }
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation: Xiangyu Yue,

Zangwei Zheng,

Shanghang Zhang,

Yang Gao,

Trevor Darrell,

Kurt Keutzer,

Alberto Sangiovanni Vincentelli; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yue_2021_CVPR, author = {Yue, Xiangyu and Zheng, Zangwei and Zhang, Shanghang and Gao, Yang and Darrell, Trevor and Keutzer, Kurt and Vincentelli, Alberto Sangiovanni}, title = {Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13834-13844} }
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation: Xiong Zhang,

Hongmin Xu,

Hong Mo,

Jianchao Tan,

Cheng Yang,

Lei Wang,

Wenqi Ren; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xiong and Xu, Hongmin and Mo, Hong and Tan, Jianchao and Yang, Cheng and Wang, Lei and Ren, Wenqi}, title = {DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13956-13967} }
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation: Zongze Wu,

Dani Lischinski,

Eli Shechtman; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Zongze and Lischinski, Dani and Shechtman, Eli}, title = {StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12863-12872} }
Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation: Zhengxiong Luo,

Zhicheng Wang,

Yan Huang,

Liang Wang,

Tieniu Tan,

Erjin Zhou; [pdf] [arXiv]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Zhengxiong and Wang, Zhicheng and Huang, Yan and Wang, Liang and Tan, Tieniu and Zhou, Erjin}, title = {Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13264-13273} }
From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach: Guotao Wang,

Chenglizhao Chen,

Deng-Ping Fan,

Aimin Hao,

Hong Qin; [pdf]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Guotao and Chen, Chenglizhao and Fan, Deng-Ping and Hao, Aimin and Qin, Hong}, title = {From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15119-15128} }
High-Fidelity Face Tracking for AR/VR via Deep Lighting Adaptation: Lele Chen,

Chen Cao,

Fernando De la Torre,

Jason Saragih,

Chenliang Xu,

Yaser Sheikh; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Lele and Cao, Chen and De la Torre, Fernando and Saragih, Jason and Xu, Chenliang and Sheikh, Yaser}, title = {High-Fidelity Face Tracking for AR/VR via Deep Lighting Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13059-13069} }
Positional Encoding As Spatial Inductive Bias in GANs: Rui Xu,

Xintao Wang,

Kai Chen,

Bolei Zhou,

Chen Change Loy; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Rui and Wang, Xintao and Chen, Kai and Zhou, Bolei and Loy, Chen Change}, title = {Positional Encoding As Spatial Inductive Bias in GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13569-13578} }
Nighttime Visibility Enhancement by Increasing the Dynamic Range and Suppression of Light Effects: Aashish Sharma,

Robby T. Tan; [pdf]
[bibtex]
@InProceedings{Sharma_2021_CVPR, author = {Sharma, Aashish and Tan, Robby T.}, title = {Nighttime Visibility Enhancement by Increasing the Dynamic Range and Suppression of Light Effects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11977-11986} }
Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation: Nikita Araslanov,

Stefan Roth; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Araslanov_2021_CVPR, author = {Araslanov, Nikita and Roth, Stefan}, title = {Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15384-15394} }
Patch-VQ: 'Patching Up' the Video Quality Problem: Zhenqiang Ying,

Maniratnam Mandal,

Deepti Ghadiyaram,

Alan Bovik; [pdf] [supp]
[bibtex]
@InProceedings{Ying_2021_CVPR, author = {Ying, Zhenqiang and Mandal, Maniratnam and Ghadiyaram, Deepti and Bovik, Alan}, title = {Patch-VQ: 'Patching Up' the Video Quality Problem}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14019-14029} }
Towards High Fidelity Face Relighting With Realistic Shadows: Andrew Hou,

Ze Zhang,

Michel Sarkis,

Ning Bi,

Yiying Tong,

Xiaoming Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hou_2021_CVPR, author = {Hou, Andrew and Zhang, Ze and Sarkis, Michel and Bi, Ning and Tong, Yiying and Liu, Xiaoming}, title = {Towards High Fidelity Face Relighting With Realistic Shadows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14719-14728} }
Multi-View Multi-Person 3D Pose Estimation With Plane Sweep Stereo: Jiahao Lin,

Gim Hee Lee; [pdf] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Jiahao and Lee, Gim Hee}, title = {Multi-View Multi-Person 3D Pose Estimation With Plane Sweep Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11886-11895} }
Progressive Semantic-Aware Style Transformation for Blind Face Restoration: Chaofeng Chen,

Xiaoming Li,

Lingbo Yang,

Xianhui Lin,

Lei Zhang,

Kwan-Yee K. Wong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Chaofeng and Li, Xiaoming and Yang, Lingbo and Lin, Xianhui and Zhang, Lei and Wong, Kwan-Yee K.}, title = {Progressive Semantic-Aware Style Transformation for Blind Face Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11896-11905} }
Repetitive Activity Counting by Sight and Sound: Yunhua Zhang,

Ling Shao,

Cees G. M. Snoek; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yunhua and Shao, Ling and Snoek, Cees G. M.}, title = {Repetitive Activity Counting by Sight and Sound}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14070-14079} }
Unsupervised Multi-Source Domain Adaptation for Person Re-Identification: Zechen Bai,

Zhigang Wang,

Jian Wang,

Di Hu,

Errui Ding; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bai_2021_CVPR, author = {Bai, Zechen and Wang, Zhigang and Wang, Jian and Hu, Di and Ding, Errui}, title = {Unsupervised Multi-Source Domain Adaptation for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12914-12923} }
Boosting Video Representation Learning With Multi-Faceted Integration: Zhaofan Qiu,

Ting Yao,

Chong-Wah Ngo,

Xiao-Ping Zhang,

Dong Wu,

Tao Mei; [pdf]
[bibtex]
@InProceedings{Qiu_2021_CVPR, author = {Qiu, Zhaofan and Yao, Ting and Ngo, Chong-Wah and Zhang, Xiao-Ping and Wu, Dong and Mei, Tao}, title = {Boosting Video Representation Learning With Multi-Faceted Integration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14030-14039} }
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management: Tianyi Zhao,

Kai Cao,

Jiawen Yao,

Isabella Nogues,

Le Lu,

Lingyun Huang,

Jing Xiao,

Zhaozheng Yin,

Ling Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Tianyi and Cao, Kai and Yao, Jiawen and Nogues, Isabella and Lu, Le and Huang, Lingyun and Xiao, Jing and Yin, Zhaozheng and Zhang, Ling}, title = {3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13743-13752} }
GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields: Michael Niemeyer,

Andreas Geiger; [pdf] [arXiv]
[bibtex]
@InProceedings{Niemeyer_2021_CVPR, author = {Niemeyer, Michael and Geiger, Andreas}, title = {GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11453-11464} }
Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement: Hao Lu,

Hu Han,

S. Kevin Zhou; [pdf]
[bibtex]
@InProceedings{Lu_2021_CVPR, author = {Lu, Hao and Han, Hu and Zhou, S. Kevin}, title = {Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12404-12413} }
Audio-Visual Instance Discrimination with Cross-Modal Agreement: Pedro Morgado,

Nuno Vasconcelos,

Ishan Misra; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Morgado_2021_CVPR, author = {Morgado, Pedro and Vasconcelos, Nuno and Misra, Ishan}, title = {Audio-Visual Instance Discrimination with Cross-Modal Agreement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12475-12486} }
DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking: Kha Gia Quach,

Pha Nguyen,

Huu Le,

Thanh-Dat Truong,

Chi Nhan Duong,

Minh-Triet Tran,

Khoa Luu; [pdf] [supp] [arXiv ]
[bibtex]
@InProceedings{Quach_2021_CVPR, author = {Quach, Kha Gia and Nguyen, Pha and Le, Huu and Truong, Thanh-Dat and Duong, Chi Nhan and Tran, Minh-Triet and Luu, Khoa}, title = {DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13784-13793} }
KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning: Li Yang,

Zhezhi He,

Junshan Zhang,

Deliang Fan; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Li and He, Zhezhi and Zhang, Junshan and Fan, Deliang}, title = {KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13845-13853} }
Rich Context Aggregation With Reflection Prior for Glass Surface Detection: Jiaying Lin,

Zebang He,

Rynson W.H. Lau; [pdf]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Jiaying and He, Zebang and Lau, Rynson W.H.}, title = {Rich Context Aggregation With Reflection Prior for Glass Surface Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13415-13424} }
AutoInt: Automatic Integration for Fast Neural Volume Rendering: David B. Lindell,

Julien N. P. Martel,

Gordon Wetzstein; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lindell_2021_CVPR, author = {Lindell, David B. and Martel, Julien N. P. and Wetzstein, Gordon}, title = {AutoInt: Automatic Integration for Fast Neural Volume Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14556-14565} }
Pose-Guided Human Animation From a Single Image in the Wild: Jae Shin Yoon,

Lingjie Liu,

Vladislav Golyanik,

Kripasindhu Sarkar,

Hyun Soo Park,

Christian Theobalt; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yoon_2021_CVPR, author = {Yoon, Jae Shin and Liu, Lingjie and Golyanik, Vladislav and Sarkar, Kripasindhu and Park, Hyun Soo and Theobalt, Christian}, title = {Pose-Guided Human Animation From a Single Image in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15039-15048} }
Equivariant Point Network for 3D Point Cloud Analysis: Haiwei Chen,

Shichen Liu,

Weikai Chen,

Hao Li,

Randall Hill; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Haiwei and Liu, Shichen and Chen, Weikai and Li, Hao and Hill, Randall}, title = {Equivariant Point Network for 3D Point Cloud Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14514-14523} }
Checkerboard Context Model for Efficient Learned Image Compression: Dailan He,

Yaoyan Zheng,

Baocheng Sun,

Yan Wang,

Hongwei Qin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2021_CVPR, author = {He, Dailan and Zheng, Yaoyan and Sun, Baocheng and Wang, Yan and Qin, Hongwei}, title = {Checkerboard Context Model for Efficient Learned Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14771-14780} }
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic: Xiangtao Kong,

Hengyuan Zhao,

Yu Qiao,

Chao Dong; [pdf] [arXiv]
[bibtex]
@InProceedings{Kong_2021_CVPR, author = {Kong, Xiangtao and Zhao, Hengyuan and Qiao, Yu and Dong, Chao}, title = {ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12016-12025} }
Semantic Audio-Visual Navigation: Changan Chen,

Ziad Al-Halah,

Kristen Grauman; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Changan and Al-Halah, Ziad and Grauman, Kristen}, title = {Semantic Audio-Visual Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15516-15525} }
Efficient Initial Pose-Graph Generation for Global SfM: Daniel Barath,

Dmytro Mishkin,

Ivan Eichhardt,

Ilia Shipachev,

Jiri Matas; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Barath_2021_CVPR, author = {Barath, Daniel and Mishkin, Dmytro and Eichhardt, Ivan and Shipachev, Ilia and Matas, Jiri}, title = {Efficient Initial Pose-Graph Generation for Global SfM}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14546-14555} }
Neural Response Interpretation Through the Lens of Critical Pathways: Ashkan Khakzar,

Soroosh Baselizadeh,

Saurabh Khanduja,

Christian Rupprecht,

Seong Tae Kim,

Nassir Navab; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Khakzar_2021_CVPR, author = {Khakzar, Ashkan and Baselizadeh, Soroosh and Khanduja, Saurabh and Rupprecht, Christian and Kim, Seong Tae and Navab, Nassir}, title = {Neural Response Interpretation Through the Lens of Critical Pathways}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13528-13538} }
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains: Masoud Faraki,

Xiang Yu,

Yi-Hsuan Tsai,

Yumin Suh,

Manmohan Chandraker; [pdf] [arXiv]
[bibtex]
@InProceedings{Faraki_2021_CVPR, author = {Faraki, Masoud and Yu, Xiang and Tsai, Yi-Hsuan and Suh, Yumin and Chandraker, Manmohan}, title = {Cross-Domain Similarity Learning for Face Recognition in Unseen Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15292-15301} }
Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources: Pengyu Li,

Biao Wang,

Lei Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Pengyu and Wang, Biao and Zhang, Lei}, title = {Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13315-13324} }
Multi-Person Implicit Reconstruction From a Single Image: Armin Mustafa,

Akin Caliskan,

Lourdes Agapito,

Adrian Hilton; [pdf] [arXiv]
[bibtex]
@InProceedings{Mustafa_2021_CVPR, author = {Mustafa, Armin and Caliskan, Akin and Agapito, Lourdes and Hilton, Adrian}, title = {Multi-Person Implicit Reconstruction From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14474-14483} }
Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering: Jungin Park,

Jiyoung Lee,

Kwanghoon Sohn; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Park_2021_CVPR, author = {Park, Jungin and Lee, Jiyoung and Sohn, Kwanghoon}, title = {Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15526-15535} }
Monte Carlo Scene Search for 3D Scene Understanding: Shreyas Hampali,

Sinisa Stekovic,

Sayan Deb Sarkar,

Chetan S. Kumar,

Friedrich Fraundorfer,

Vincent Lepetit; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hampali_2021_CVPR, author = {Hampali, Shreyas and Stekovic, Sinisa and Sarkar, Sayan Deb and Kumar, Chetan S. and Fraundorfer, Friedrich and Lepetit, Vincent}, title = {Monte Carlo Scene Search for 3D Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13804-13813} }
Unsupervised Pre-Training for Person Re-Identification: Dengpan Fu,

Dongdong Chen,

Jianmin Bao,

Hao Yang,

Lu Yuan,

Lei Zhang,

Houqiang Li,

Dong Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fu_2021_CVPR, author = {Fu, Dengpan and Chen, Dongdong and Bao, Jianmin and Yang, Hao and Yuan, Lu and Zhang, Lei and Li, Houqiang and Chen, Dong}, title = {Unsupervised Pre-Training for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14750-14759} }
Few-Shot Object Detection via Classification Refinement and Distractor Retreatment: Yiting Li,

Haiyue Zhu,

Yu Cheng,

Wenxin Wang,

Chek Sing Teo,

Cheng Xiang,

Prahlad Vadakkepat,

Tong Heng Lee; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Yiting and Zhu, Haiyue and Cheng, Yu and Wang, Wenxin and Teo, Chek Sing and Xiang, Cheng and Vadakkepat, Prahlad and Lee, Tong Heng}, title = {Few-Shot Object Detection via Classification Refinement and Distractor Retreatment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15395-15403} }
Behavior-Driven Synthesis of Human Dynamics: 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 = {Behavior-Driven Synthesis of Human Dynamics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12236-12246} }
Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild: Zhaoyuan Yin,

Jia Zheng,

Weixin Luo,

Shenhan Qian,

Hanling Zhang,

Shenghua Gao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yin_2021_CVPR, author = {Yin, Zhaoyuan and Zheng, Jia and Luo, Weixin and Qian, Shenhan and Zhang, Hanling and Gao, Shenghua}, title = {Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15445-15454} }
Reconstructing 3D Human Pose by Watching Humans in the Mirror: Qi Fang,

Qing Shuai,

Junting Dong,

Hujun Bao,

Xiaowei Zhou; [pdf] [arXiv]
[bibtex]
@InProceedings{Fang_2021_CVPR, author = {Fang, Qi and Shuai, Qing and Dong, Junting and Bao, Hujun and Zhou, Xiaowei}, title = {Reconstructing 3D Human Pose by Watching Humans in the Mirror}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12814-12823} }
Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream: Jing Zhao,

Ruiqin Xiong,

Hangfan Liu,

Jian Zhang,

Tiejun Huang; [pdf] [supp]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Jing and Xiong, Ruiqin and Liu, Hangfan and Zhang, Jian and Huang, Tiejun}, title = {Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11996-12005} }
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds: Li Yi,

Boqing Gong,

Thomas Funkhouser; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yi_2021_CVPR, author = {Yi, Li and Gong, Boqing and Funkhouser, Thomas}, title = {Complete \& Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15363-15373} }
Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation: Tommi Kerola,

Jie Li,

Atsushi Kanehira,

Yasunori Kudo,

Alexis Vallet,

Adrien Gaidon; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kerola_2021_CVPR, author = {Kerola, Tommi and Li, Jie and Kanehira, Atsushi and Kudo, Yasunori and Vallet, Alexis and Gaidon, Adrien}, title = {Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14413-14423} }
Variational Transformer Networks for Layout Generation: Diego Martin Arroyo,

Janis Postels,

Federico Tombari; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Arroyo_2021_CVPR, author = {Arroyo, Diego Martin and Postels, Janis and Tombari, Federico}, title = {Variational Transformer Networks for Layout Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13642-13652} }
SMPLicit: Topology-Aware Generative Model for Clothed People: Enric Corona,

Albert Pumarola,

Guillem Alenya,

Gerard Pons-Moll,

Francesc Moreno-Noguer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Corona_2021_CVPR, author = {Corona, Enric and Pumarola, Albert and Alenya, Guillem and Pons-Moll, Gerard and Moreno-Noguer, Francesc}, title = {SMPLicit: Topology-Aware Generative Model for Clothed People}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11875-11885} }
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization: Long Zhao,

Yuxiao Wang,

Jiaping Zhao,

Liangzhe Yuan,

Jennifer J. Sun,

Florian Schroff,

Hartwig Adam,

Xi Peng,

Dimitris Metaxas,

Ting Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Long and Wang, Yuxiao and Zhao, Jiaping and Yuan, Liangzhe and Sun, Jennifer J. and Schroff, Florian and Adam, Hartwig and Peng, Xi and Metaxas, Dimitris and Liu, Ting}, title = {Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12793-12802} }
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification: Jong-Chyi Su,

Zezhou Cheng,

Subhransu Maji; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Su_2021_CVPR, author = {Su, Jong-Chyi and Cheng, Zezhou and Maji, Subhransu}, title = {A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12966-12975} }
Few-Shot Open-Set Recognition by Transformation Consistency: Minki Jeong,

Seokeon Choi,

Changick Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jeong_2021_CVPR, author = {Jeong, Minki and Choi, Seokeon and Kim, Changick}, title = {Few-Shot Open-Set Recognition by Transformation Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12566-12575} }
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search: Kaicheng Yu,

Rene Ranftl,

Mathieu Salzmann; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2021_CVPR, author = {Yu, Kaicheng and Ranftl, Rene and Salzmann, Mathieu}, title = {Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13723-13732} }
Online Learning of a Probabilistic and Adaptive Scene Representation: Zike Yan,

Xin Wang,

Hongbin Zha; [pdf] [arXiv]
[bibtex]
@InProceedings{Yan_2021_CVPR, author = {Yan, Zike and Wang, Xin and Zha, Hongbin}, title = {Online Learning of a Probabilistic and Adaptive Scene Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13111-13121} }
Cross-Iteration Batch Normalization: Zhuliang Yao,

Yue Cao,

Shuxin Zheng,

Gao Huang,

Stephen Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yao_2021_CVPR, author = {Yao, Zhuliang and Cao, Yue and Zheng, Shuxin and Huang, Gao and Lin, Stephen}, title = {Cross-Iteration Batch Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12331-12340} }
3D Shape Generation With Grid-Based Implicit Functions: Moritz Ibing,

Isaak Lim,

Leif Kobbelt; [pdf] [supp]
[bibtex]
@InProceedings{Ibing_2021_CVPR, author = {Ibing, Moritz and Lim, Isaak and Kobbelt, Leif}, title = {3D Shape Generation With Grid-Based Implicit Functions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13559-13568} }
FAIEr: Fidelity and Adequacy Ensured Image Caption Evaluation: Sijin Wang,

Ziwei Yao,

Ruiping Wang,

Zhongqin Wu,

Xilin Chen; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Sijin and Yao, Ziwei and Wang, Ruiping and Wu, Zhongqin and Chen, Xilin}, title = {FAIEr: Fidelity and Adequacy Ensured Image Caption Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14050-14059} }
Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions: Navaneeth Bodla,

Gaurav Shrivastava,

Rama Chellappa,

Abhinav Shrivastava; [pdf] [supp]
[bibtex]
@InProceedings{Bodla_2021_CVPR, author = {Bodla, Navaneeth and Shrivastava, Gaurav and Chellappa, Rama and Shrivastava, Abhinav}, title = {Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12146-12155} }
From Rain Generation to Rain Removal: Hong Wang,

Zongsheng Yue,

Qi Xie,

Qian Zhao,

Yefeng Zheng,

Deyu Meng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Hong and Yue, Zongsheng and Xie, Qi and Zhao, Qian and Zheng, Yefeng and Meng, Deyu}, title = {From Rain Generation to Rain Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14791-14801} }
Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading: Sucheng Ren,

Yong Du,

Jianming Lv,

Guoqiang Han,

Shengfeng He; [pdf]
[bibtex]
@InProceedings{Ren_2021_CVPR, author = {Ren, Sucheng and Du, Yong and Lv, Jianming and Han, Guoqiang and He, Shengfeng}, title = {Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13325-13333} }
Spatially-Varying Outdoor Lighting Estimation From Intrinsics: Yongjie Zhu,

Yinda Zhang,

Si Li,

Boxin Shi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Yongjie and Zhang, Yinda and Li, Si and Shi, Boxin}, title = {Spatially-Varying Outdoor Lighting Estimation From Intrinsics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12834-12842} }
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization: Seunghwan Choi,

Sunghyun Park,

Minsoo Lee,

Jaegul Choo; [pdf] [supp]
[bibtex]
@InProceedings{Choi_2021_CVPR, author = {Choi, Seunghwan and Park, Sunghyun and Lee, Minsoo and Choo, Jaegul}, title = {VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14131-14140} }
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search: Bin Yan,

Houwen Peng,

Kan Wu,

Dong Wang,

Jianlong Fu,

Huchuan Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yan_2021_CVPR, author = {Yan, Bin and Peng, Houwen and Wu, Kan and Wang, Dong and Fu, Jianlong and Lu, Huchuan}, title = {LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15180-15189} }
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation: Pan Zhang,

Bo Zhang,

Ting Zhang,

Dong Chen,

Yong Wang,

Fang Wen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Pan and Zhang, Bo and Zhang, Ting and Chen, Dong and Wang, Yong and Wen, Fang}, title = {Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12414-12424} }
Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training: Yunxuan Wei,

Shuhang Gu,

Yawei Li,

Radu Timofte,

Longcun Jin,

Hengjie Song; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wei_2021_CVPR, author = {Wei, Yunxuan and Gu, Shuhang and Li, Yawei and Timofte, Radu and Jin, Longcun and Song, Hengjie}, title = {Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13385-13394} }
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination: Xudong Wang,

Ziwei Liu,

Stella X. Yu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Xudong and Liu, Ziwei and Yu, Stella X.}, title = {Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12586-12595} }
Personalized Outfit Recommendation With Learnable Anchors: Zhi Lu,

Yang Hu,

Yan Chen,

Bing Zeng; [pdf] [supp]
[bibtex]
@InProceedings{Lu_2021_CVPR, author = {Lu, Zhi and Hu, Yang and Chen, Yan and Zeng, Bing}, title = {Personalized Outfit Recommendation With Learnable Anchors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12722-12731} }
Multi-Scale Aligned Distillation for Low-Resolution Detection: Lu Qi,

Jason Kuen,

Jiuxiang Gu,

Zhe Lin,

Yi Wang,

Yukang Chen,

Yanwei Li,

Jiaya Jia; [pdf] [supp]
[bibtex]
@InProceedings{Qi_2021_CVPR, author = {Qi, Lu and Kuen, Jason and Gu, Jiuxiang and Lin, Zhe and Wang, Yi and Chen, Yukang and Li, Yanwei and Jia, Jiaya}, title = {Multi-Scale Aligned Distillation for Low-Resolution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14443-14453} }
Deep Active Surface Models: Udaranga Wickramasinghe,

Pascal Fua,

Graham Knott; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wickramasinghe_2021_CVPR, author = {Wickramasinghe, Udaranga and Fua, Pascal and Knott, Graham}, title = {Deep Active Surface Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11652-11661} }
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval: Yang Liu,

Qingchao Chen,

Samuel Albanie; [pdf]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yang and Chen, Qingchao and Albanie, Samuel}, title = {Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14954-14964} }
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data: Jinwoo Kim,

Jaehoon Yoo,

Juho Lee,

Seunghoon Hong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Jinwoo and Yoo, Jaehoon and Lee, Juho and Hong, Seunghoon}, title = {SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15059-15068} }
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching: Zhelun Shen,

Yuchao Dai,

Zhibo Rao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shen_2021_CVPR, author = {Shen, Zhelun and Dai, Yuchao and Rao, Zhibo}, title = {CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13906-13915} }
LiDAR-Based Panoptic Segmentation via Dynamic Shifting Network: Fangzhou Hong,

Hui Zhou,

Xinge Zhu,

Hongsheng Li,

Ziwei Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hong_2021_CVPR, author = {Hong, Fangzhou and Zhou, Hui and Zhu, Xinge and Li, Hongsheng and Liu, Ziwei}, title = {LiDAR-Based Panoptic Segmentation via Dynamic Shifting Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13090-13099} }
SiamMOT: Siamese Multi-Object Tracking: Bing Shuai,

Andrew Berneshawi,

Xinyu Li,

Davide Modolo,

Joseph Tighe; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shuai_2021_CVPR, author = {Shuai, Bing and Berneshawi, Andrew and Li, Xinyu and Modolo, Davide and Tighe, Joseph}, title = {SiamMOT: Siamese Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12372-12382} }
MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation: Tianxiang Ma,

Bo Peng,

Wei Wang,

Jing Dong; [pdf] [supp]
[bibtex]
@InProceedings{Ma_2021_CVPR, author = {Ma, Tianxiang and Peng, Bo and Wang, Wei and Dong, Jing}, title = {MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13622-13631} }
Self-Aligned Video Deraining With Transmission-Depth Consistency: Wending Yan,

Robby T. Tan,

Wenhan Yang,

Dengxin Dai; [pdf] [supp]
[bibtex]
@InProceedings{Yan_2021_CVPR, author = {Yan, Wending and Tan, Robby T. and Yang, Wenhan and Dai, Dengxin}, title = {Self-Aligned Video Deraining With Transmission-Depth Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11966-11976} }
Action Shuffle Alternating Learning for Unsupervised Action Segmentation: Jun Li,

Sinisa Todorovic; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Jun and Todorovic, Sinisa}, title = {Action Shuffle Alternating Learning for Unsupervised Action Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12628-12636} }
Mutual Graph Learning for Camouflaged Object Detection: Qiang Zhai,

Xin Li,

Fan Yang,

Chenglizhao Chen,

Hong Cheng,

Deng-Ping Fan; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhai_2021_CVPR, author = {Zhai, Qiang and Li, Xin and Yang, Fan and Chen, Chenglizhao and Cheng, Hong and Fan, Deng-Ping}, title = {Mutual Graph Learning for Camouflaged Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12997-13007} }
Involution: Inverting the Inherence of Convolution for Visual Recognition: Duo Li,

Jie Hu,

Changhu Wang,

Xiangtai Li,

Qi She,

Lei Zhu,

Tong Zhang,

Qifeng Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Duo and Hu, Jie and Wang, Changhu and Li, Xiangtai and She, Qi and Zhu, Lei and Zhang, Tong and Chen, Qifeng}, title = {Involution: Inverting the Inherence of Convolution for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12321-12330} }
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies: Jinzheng Cai,

Youbao Tang,

Ke Yan,

Adam P. Harrison,

Jing Xiao,

Gigin Lin,

Le Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cai_2021_CVPR, author = {Cai, Jinzheng and Tang, Youbao and Yan, Ke and Harrison, Adam P. and Xiao, Jing and Lin, Gigin and Lu, Le}, title = {Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15159-15169} }
Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure: Miao Yin,

Siyu Liao,

Xiao-Yang Liu,

Xiaodong Wang,

Bo Yuan; [pdf] [arXiv]
[bibtex]
@InProceedings{Yin_2021_CVPR, author = {Yin, Miao and Liao, Siyu and Liu, Xiao-Yang and Wang, Xiaodong and Yuan, Bo}, title = {Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12085-12094} }
A Quasiconvex Formulation for Radial Cameras: Carl Olsson,

Viktor Larsson,

Fredrik Kahl; [pdf]
[bibtex]
@InProceedings{Olsson_2021_CVPR, author = {Olsson, Carl and Larsson, Viktor and Kahl, Fredrik}, title = {A Quasiconvex Formulation for Radial Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14576-14585} }
BRepNet: A Topological Message Passing System for Solid Models: Joseph G. Lambourne,

Karl D.D. Willis,

Pradeep Kumar Jayaraman,

Aditya Sanghi,

Peter Meltzer,

Hooman Shayani; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lambourne_2021_CVPR, author = {Lambourne, Joseph G. and Willis, Karl D.D. and Jayaraman, Pradeep Kumar and Sanghi, Aditya and Meltzer, Peter and Shayani, Hooman}, title = {BRepNet: A Topological Message Passing System for Solid Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12773-12782} }
Learning To Predict Visual Attributes in the Wild: Khoi Pham,

Kushal Kafle,

Zhe Lin,

Zhihong Ding,

Scott Cohen,

Quan Tran,

Abhinav Shrivastava; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pham_2021_CVPR, author = {Pham, Khoi and Kafle, Kushal and Lin, Zhe and Ding, Zhihong and Cohen, Scott and Tran, Quan and Shrivastava, Abhinav}, title = {Learning To Predict Visual Attributes in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13018-13028} }
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection: Xiang Li,

Wenhai Wang,

Xiaolin Hu,

Jun Li,

Jinhui Tang,

Jian Yang; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Xiang and Wang, Wenhai and Hu, Xiaolin and Li, Jun and Tang, Jinhui and Yang, Jian}, title = {Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11632-11641} }
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching: Vladimir Tankovich,

Christian Hane,

Yinda Zhang,

Adarsh Kowdle,

Sean Fanello,

Sofien Bouaziz; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tankovich_2021_CVPR, author = {Tankovich, Vladimir and Hane, Christian and Zhang, Yinda and Kowdle, Adarsh and Fanello, Sean and Bouaziz, Sofien}, title = {HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14362-14372} }
AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence: Chengyue Gong,

Dilin Wang,

Qiang Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Gong_2021_CVPR, author = {Gong, Chengyue and Wang, Dilin and Liu, Qiang}, title = {AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13683-13692} }
Unbalanced Feature Transport for Exemplar-Based Image Translation: Fangneng Zhan,

Yingchen Yu,

Kaiwen Cui,

Gongjie Zhang,

Shijian Lu,

Jianxiong Pan,

Changgong Zhang,

Feiying Ma,

Xuansong Xie,

Chunyan Miao; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhan_2021_CVPR, author = {Zhan, Fangneng and Yu, Yingchen and Cui, Kaiwen and Zhang, Gongjie and Lu, Shijian and Pan, Jianxiong and Zhang, Changgong and Ma, Feiying and Xie, Xuansong and Miao, Chunyan}, title = {Unbalanced Feature Transport for Exemplar-Based Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15028-15038} }
Your "Flamingo" is My "Bird": Fine-Grained, or Not: Dongliang Chang,

Kaiyue Pang,

Yixiao Zheng,

Zhanyu Ma,

Yi-Zhe Song,

Jun Guo; [pdf] [arXiv]
[bibtex]
@InProceedings{Chang_2021_CVPR, author = {Chang, Dongliang and Pang, Kaiyue and Zheng, Yixiao and Ma, Zhanyu and Song, Yi-Zhe and Guo, Jun}, title = {Your ''Flamingo'' is My ''Bird'': Fine-Grained, or Not}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11476-11485} }
SOON: Scenario Oriented Object Navigation With Graph-Based Exploration: Fengda Zhu,

Xiwen Liang,

Yi Zhu,

Qizhi Yu,

Xiaojun Chang,

Xiaodan Liang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Fengda and Liang, Xiwen and Zhu, Yi and Yu, Qizhi and Chang, Xiaojun and Liang, Xiaodan}, title = {SOON: Scenario Oriented Object Navigation With Graph-Based Exploration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12689-12699} }
Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression: Yuanchao Bai,

Xianming Liu,

Wangmeng Zuo,

Yaowei Wang,

Xiangyang Ji; [pdf] [supp]
[bibtex]
@InProceedings{Bai_2021_CVPR, author = {Bai, Yuanchao and Liu, Xianming and Zuo, Wangmeng and Wang, Yaowei and Ji, Xiangyang}, title = {Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11946-11955} }
Robust Reflection Removal With Reflection-Free Flash-Only Cues: Chenyang Lei,

Qifeng Chen; [pdf] [arXiv]
[bibtex]
@InProceedings{Lei_2021_CVPR, author = {Lei, Chenyang and Chen, Qifeng}, title = {Robust Reflection Removal With Reflection-Free Flash-Only Cues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14811-14820} }
Real-Time Selfie Video Stabilization: Jiyang Yu,

Ravi Ramamoorthi,

Keli Cheng,

Michel Sarkis,

Ning Bi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2021_CVPR, author = {Yu, Jiyang and Ramamoorthi, Ravi and Cheng, Keli and Sarkis, Michel and Bi, Ning}, title = {Real-Time Selfie Video Stabilization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12036-12044} }
Rank-One Prior: Toward Real-Time Scene Recovery: Jun Liu,

Wen Liu,

Jianing Sun,

Tieyong Zeng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Jun and Liu, Wen and Sun, Jianing and Zeng, Tieyong}, title = {Rank-One Prior: Toward Real-Time Scene Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14802-14810} }
Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics: Evonne Ng,

Shiry Ginosar,

Trevor Darrell,

Hanbyul Joo; [pdf] [arXiv]
[bibtex]
@InProceedings{Ng_2021_CVPR, author = {Ng, Evonne and Ginosar, Shiry and Darrell, Trevor and Joo, Hanbyul}, title = {Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11865-11874} }
Wide-Baseline Multi-Camera Calibration Using Person Re-Identification: Yan Xu,

Yu-Jhe Li,

Xinshuo Weng,

Kris Kitani; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Yan and Li, Yu-Jhe and Weng, Xinshuo and Kitani, Kris}, title = {Wide-Baseline Multi-Camera Calibration Using Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13134-13143} }
Learning by Watching: Jimuyang Zhang,

Eshed Ohn-Bar; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Jimuyang and Ohn-Bar, Eshed}, title = {Learning by Watching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12711-12721} }
Efficient Object Embedding for Spliced Image Retrieval: Bor-Chun Chen,

Zuxuan Wu,

Larry S. Davis,

Ser-Nam Lim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Bor-Chun and Wu, Zuxuan and Davis, Larry S. and Lim, Ser-Nam}, title = {Efficient Object Embedding for Spliced Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14965-14975} }
Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation: Weixiang Yang,

Qi Li,

Wenxi Liu,

Yuanlong Yu,

Yuexin Ma,

Shengfeng He,

Jia Pan; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Weixiang and Li, Qi and Liu, Wenxi and Yu, Yuanlong and Ma, Yuexin and He, Shengfeng and Pan, Jia}, title = {Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15536-15545} }
Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph: Xin Ye,

Yezhou Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ye_2021_CVPR, author = {Ye, Xin and Yang, Yezhou}, title = {Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14101-14110} }
Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos: Hehe Fan,

Yi Yang,

Mohan Kankanhalli; [pdf] [supp]
[bibtex]
@InProceedings{Fan_2021_CVPR, author = {Fan, Hehe and Yang, Yi and Kankanhalli, Mohan}, title = {Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14204-14213} }
CoCoNets: Continuous Contrastive 3D Scene Representations: Shamit Lal,

Mihir Prabhudesai,

Ishita Mediratta,

Adam W. Harley,

Katerina Fragkiadaki; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lal_2021_CVPR, author = {Lal, Shamit and Prabhudesai, Mihir and Mediratta, Ishita and Harley, Adam W. and Fragkiadaki, Katerina}, title = {CoCoNets: Continuous Contrastive 3D Scene Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12487-12496} }
Learning View Selection for 3D Scenes: Yifan Sun,

Qixing Huang,

Dun-Yu Hsiao,

Li Guan,

Gang Hua; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Yifan and Huang, Qixing and Hsiao, Dun-Yu and Guan, Li and Hua, Gang}, title = {Learning View Selection for 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14464-14473} }
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds: Haiyan Wang,

Jiahao Pang,

Muhammad A. Lodhi,

Yingli Tian,

Dong Tian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Haiyan and Pang, Jiahao and Lodhi, Muhammad A. and Tian, Yingli and Tian, Dong}, title = {FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14173-14182} }
You Only Look One-Level Feature: Qiang Chen,

Yingming Wang,

Tong Yang,

Xiangyu Zhang,

Jian Cheng,

Jian Sun; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Qiang and Wang, Yingming and Yang, Tong and Zhang, Xiangyu and Cheng, Jian and Sun, Jian}, title = {You Only Look One-Level Feature}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13039-13048} }
Gaussian Context Transformer: Dongsheng Ruan,

Daiyin Wang,

Yuan Zheng,

Nenggan Zheng,

Min Zheng; [pdf] [supp]
[bibtex]
@InProceedings{Ruan_2021_CVPR, author = {Ruan, Dongsheng and Wang, Daiyin and Zheng, Yuan and Zheng, Nenggan and Zheng, Min}, title = {Gaussian Context Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15129-15138} }
Transferable Semantic Augmentation for Domain Adaptation: Shuang Li,

Mixue Xie,

Kaixiong Gong,

Chi Harold Liu,

Yulin Wang,

Wei Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Shuang and Xie, Mixue and Gong, Kaixiong and Liu, Chi Harold and Wang, Yulin and Li, Wei}, title = {Transferable Semantic Augmentation for Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11516-11525} }
No Frame Left Behind: Full Video Action Recognition: Xin Liu,

Silvia L. Pintea,

Fatemeh Karimi Nejadasl,

Olaf Booij,

Jan C. van Gemert; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Xin and Pintea, Silvia L. and Nejadasl, Fatemeh Karimi and Booij, Olaf and van Gemert, Jan C.}, title = {No Frame Left Behind: Full Video Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14892-14901} }
Tree-Like Decision Distillation: Jie Song,

Haofei Zhang,

Xinchao Wang,

Mengqi Xue,

Ying Chen,

Li Sun,

Dacheng Tao,

Mingli Song; [pdf] [supp]
[bibtex]
@InProceedings{Song_2021_CVPR, author = {Song, Jie and Zhang, Haofei and Wang, Xinchao and Xue, Mengqi and Chen, Ying and Sun, Li and Tao, Dacheng and Song, Mingli}, title = {Tree-Like Decision Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13488-13497} }
Watching You: Global-Guided Reciprocal Learning for Video-Based Person Re-Identification: Xuehu Liu,

Pingping Zhang,

Chenyang Yu,

Huchuan Lu,

Xiaoyun Yang; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Xuehu and Zhang, Pingping and Yu, Chenyang and Lu, Huchuan and Yang, Xiaoyun}, title = {Watching You: Global-Guided Reciprocal Learning for Video-Based Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13334-13343} }
Image Generators With Conditionally-Independent Pixel Synthesis: Ivan Anokhin,

Kirill Demochkin,

Taras Khakhulin,

Gleb Sterkin,

Victor Lempitsky,

Denis Korzhenkov; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Anokhin_2021_CVPR, author = {Anokhin, Ivan and Demochkin, Kirill and Khakhulin, Taras and Sterkin, Gleb and Lempitsky, Victor and Korzhenkov, Denis}, title = {Image Generators With Conditionally-Independent Pixel Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14278-14287} }
PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks: Guocheng Qian,

Abdulellah Abualshour,

Guohao Li,

Ali Thabet,

Bernard Ghanem; [pdf]
[bibtex]
@InProceedings{Qian_2021_CVPR, author = {Qian, Guocheng and Abualshour, Abdulellah and Li, Guohao and Thabet, Ali and Ghanem, Bernard}, title = {PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11683-11692} }
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models: Zihao Xiao,

Xianfeng Gao,

Chilin Fu,

Yinpeng Dong,

Wei Gao,

Xiaolu Zhang,

Jun Zhou,

Jun Zhu; [pdf] [supp]
[bibtex]
@InProceedings{Xiao_2021_CVPR, author = {Xiao, Zihao and Gao, Xianfeng and Fu, Chilin and Dong, Yinpeng and Gao, Wei and Zhang, Xiaolu and Zhou, Jun and Zhu, Jun}, title = {Improving Transferability of Adversarial Patches on Face Recognition With Generative Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11845-11854} }
Counterfactual VQA: A Cause-Effect Look at Language Bias: Yulei Niu,

Kaihua Tang,

Hanwang Zhang,

Zhiwu Lu,

Xian-Sheng Hua,

Ji-Rong Wen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Niu_2021_CVPR, author = {Niu, Yulei and Tang, Kaihua and Zhang, Hanwang and Lu, Zhiwu and Hua, Xian-Sheng and Wen, Ji-Rong}, title = {Counterfactual VQA: A Cause-Effect Look at Language Bias}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12700-12710} }
Indoor Panorama Planar 3D Reconstruction via Divide and Conquer: Cheng Sun,

Chi-Wei Hsiao,

Ning-Hsu Wang,

Min Sun,

Hwann-Tzong Chen; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Cheng and Hsiao, Chi-Wei and Wang, Ning-Hsu and Sun, Min and Chen, Hwann-Tzong}, title = {Indoor Panorama Planar 3D Reconstruction via Divide and Conquer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11338-11347} }
Scaling Local Self-Attention for Parameter Efficient Visual Backbones: Ashish Vaswani,

Prajit Ramachandran,

Aravind Srinivas,

Niki Parmar,

Blake Hechtman,

Jonathon Shlens; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Vaswani_2021_CVPR, author = {Vaswani, Ashish and Ramachandran, Prajit and Srinivas, Aravind and Parmar, Niki and Hechtman, Blake and Shlens, Jonathon}, title = {Scaling Local Self-Attention for Parameter Efficient Visual Backbones}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12894-12904} }
Positive-Congruent Training: Towards Regression-Free Model Updates: Sijie Yan,

Yuanjun Xiong,

Kaustav Kundu,

Shuo Yang,

Siqi Deng,

Meng Wang,

Wei Xia,

Stefano Soatto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yan_2021_CVPR, author = {Yan, Sijie and Xiong, Yuanjun and Kundu, Kaustav and Yang, Shuo and Deng, Siqi and Wang, Meng and Xia, Wei and Soatto, Stefano}, title = {Positive-Congruent Training: Towards Regression-Free Model Updates}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14299-14308} }
Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images: Tao Huang,

Songjiang Li,

Xu Jia,

Huchuan Lu,

Jianzhuang Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Tao and Li, Songjiang and Jia, Xu and Lu, Huchuan and Liu, Jianzhuang}, title = {Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14781-14790} }
Dynamic Weighted Learning for Unsupervised Domain Adaptation: Ni Xiao,

Lei Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Xiao_2021_CVPR, author = {Xiao, Ni and Zhang, Lei}, title = {Dynamic Weighted Learning for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15242-15251} }
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems: Liang Tong,

Zhengzhang Chen,

Jingchao Ni,

Wei Cheng,

Dongjin Song,

Haifeng Chen,

Yevgeniy Vorobeychik; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tong_2021_CVPR, author = {Tong, Liang and Chen, Zhengzhang and Ni, Jingchao and Cheng, Wei and Song, Dongjin and Chen, Haifeng and Vorobeychik, Yevgeniy}, title = {FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13254-13263} }
Shape From Sky: Polarimetric Normal Recovery Under the Sky: Tomoki Ichikawa,

Matthew Purri,

Ryo Kawahara,

Shohei Nobuhara,

Kristin Dana,

Ko Nishino; [pdf] [supp]
[bibtex]
@InProceedings{Ichikawa_2021_CVPR, author = {Ichikawa, Tomoki and Purri, Matthew and Kawahara, Ryo and Nobuhara, Shohei and Dana, Kristin and Nishino, Ko}, title = {Shape From Sky: Polarimetric Normal Recovery Under the Sky}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14832-14841} }
Masksembles for Uncertainty Estimation: Nikita Durasov,

Timur Bagautdinov,

Pierre Baque,

Pascal Fua; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Durasov_2021_CVPR, author = {Durasov, Nikita and Bagautdinov, Timur and Baque, Pierre and Fua, Pascal}, title = {Masksembles for Uncertainty Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13539-13548} }
ACTION-Net: Multipath Excitation for Action Recognition: Zhengwei Wang,

Qi She,

Aljosa Smolic; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Zhengwei and She, Qi and Smolic, Aljosa}, title = {ACTION-Net: Multipath Excitation for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13214-13223} }
EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events: Peiqi Duan,

Zihao W. Wang,

Xinyu Zhou,

Yi Ma,

Boxin Shi; [pdf] [supp]
[bibtex]
@InProceedings{Duan_2021_CVPR, author = {Duan, Peiqi and Wang, Zihao W. and Zhou, Xinyu and Ma, Yi and Shi, Boxin}, title = {EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12824-12833} }
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation: Xingran Zhou,

Bo Zhang,

Ting Zhang,

Pan Zhang,

Jianmin Bao,

Dong Chen,

Zhongfei Zhang,

Fang Wen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Xingran and Zhang, Bo and Zhang, Ting and Zhang, Pan and Bao, Jianmin and Chen, Dong and Zhang, Zhongfei and Wen, Fang}, title = {CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11465-11475} }
A Fourier-Based Framework for Domain Generalization: Qinwei Xu,

Ruipeng Zhang,

Ya Zhang,

Yanfeng Wang,

Qi Tian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Qinwei and Zhang, Ruipeng and Zhang, Ya and Wang, Yanfeng and Tian, Qi}, title = {A Fourier-Based Framework for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14383-14392} }
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation: Gengcong Yang,

Jingyi Zhang,

Yong Zhang,

Baoyuan Wu,

Yujiu Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Gengcong and Zhang, Jingyi and Zhang, Yong and Wu, Baoyuan and Yang, Yujiu}, title = {Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12527-12536} }
Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs: Jianwei Feng,

Dong Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Feng_2021_CVPR, author = {Feng, Jianwei and Huang, Dong}, title = {Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11433-11442} }
Rectification-Based Knowledge Retention for Continual Learning: Pravendra Singh,

Pratik Mazumder,

Piyush Rai,

Vinay P. Namboodiri; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Singh_2021_CVPR, author = {Singh, Pravendra and Mazumder, Pratik and Rai, Piyush and Namboodiri, Vinay P.}, title = {Rectification-Based Knowledge Retention for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15282-15291} }
Towards Robust Classification Model by Counterfactual and Invariant Data Generation: Chun-Hao Chang,

George Alexandru Adam,

Anna Goldenberg; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chang_2021_CVPR, author = {Chang, Chun-Hao and Adam, George Alexandru and Goldenberg, Anna}, title = {Towards Robust Classification Model by Counterfactual and Invariant Data Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15212-15221} }
Benchmarking Representation Learning for Natural World Image Collections: Grant Van Horn,

Elijah Cole,

Sara Beery,

Kimberly Wilber,

Serge Belongie,

Oisin Mac Aodha; [pdf] [arXiv]
[bibtex]
@InProceedings{Van_Horn_2021_CVPR, author = {Van Horn, Grant and Cole, Elijah and Beery, Sara and Wilber, Kimberly and Belongie, Serge and Mac Aodha, Oisin}, title = {Benchmarking Representation Learning for Natural World Image Collections}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12884-12893} }
PGT: A Progressive Method for Training Models on Long Videos: Bo Pang,

Gao Peng,

Yizhuo Li,

Cewu Lu; [pdf] [arXiv]
[bibtex]
@InProceedings{Pang_2021_CVPR, author = {Pang, Bo and Peng, Gao and Li, Yizhuo and Lu, Cewu}, title = {PGT: A Progressive Method for Training Models on Long Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11379-11389} }
Convolutional Neural Network Pruning With Structural Redundancy Reduction: Zi Wang,

Chengcheng Li,

Xiangyang Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Zi and Li, Chengcheng and Wang, Xiangyang}, title = {Convolutional Neural Network Pruning With Structural Redundancy Reduction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14913-14922} }
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation: Siqi Fan,

Qiulei Dong,

Fenghua Zhu,

Yisheng Lv,

Peijun Ye,

Fei-Yue Wang; [pdf]
[bibtex]
@InProceedings{Fan_2021_CVPR, author = {Fan, Siqi and Dong, Qiulei and Zhu, Fenghua and Lv, Yisheng and Ye, Peijun and Wang, Fei-Yue}, title = {SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14504-14513} }
AGORA: Avatars in Geography Optimized for Regression Analysis: Priyanka Patel,

Chun-Hao P. Huang,

Joachim Tesch,

David T. Hoffmann,

Shashank Tripathi,

Michael J. Black; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Patel_2021_CVPR, author = {Patel, Priyanka and Huang, Chun-Hao P. and Tesch, Joachim and Hoffmann, David T. and Tripathi, Shashank and Black, Michael J.}, title = {AGORA: Avatars in Geography Optimized for Regression Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13468-13478} }
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation: Fenglin Liu,

Xian Wu,

Shen Ge,

Wei Fan,

Yuexian Zou; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Fenglin and Wu, Xian and Ge, Shen and Fan, Wei and Zou, Yuexian}, title = {Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13753-13762} }
Extreme Rotation Estimation Using Dense Correlation Volumes: Ruojin Cai,

Bharath Hariharan,

Noah Snavely,

Hadar Averbuch-Elor; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cai_2021_CVPR, author = {Cai, Ruojin and Hariharan, Bharath and Snavely, Noah and Averbuch-Elor, Hadar}, title = {Extreme Rotation Estimation Using Dense Correlation Volumes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14566-14575} }
Capsule Network Is Not More Robust Than Convolutional Network: Jindong Gu,

Volker Tresp,

Han Hu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gu_2021_CVPR, author = {Gu, Jindong and Tresp, Volker and Hu, Han}, title = {Capsule Network Is Not More Robust Than Convolutional Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14309-14317} }
End-to-End Human Object Interaction Detection With HOI Transformer: Cheng Zou,

Bohan Wang,

Yue Hu,

Junqi Liu,

Qian Wu,

Yu Zhao,

Boxun Li,

Chenguang Zhang,

Chi Zhang,

Yichen Wei,

Jian Sun; [pdf] [arXiv]
[bibtex]
@InProceedings{Zou_2021_CVPR, author = {Zou, Cheng and Wang, Bohan and Hu, Yue and Liu, Junqi and Wu, Qian and Zhao, Yu and Li, Boxun and Zhang, Chenguang and Zhang, Chi and Wei, Yichen and Sun, Jian}, title = {End-to-End Human Object Interaction Detection With HOI Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11825-11834} }
How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections?: Kartikeya Bhardwaj,

Guihong Li,

Radu Marculescu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bhardwaj_2021_CVPR, author = {Bhardwaj, Kartikeya and Li, Guihong and Marculescu, Radu}, title = {How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13498-13507} }
Multi-Shot Temporal Event Localization: A Benchmark: Xiaolong Liu,

Yao Hu,

Song Bai,

Fei Ding,

Xiang Bai,

Philip H. S. Torr; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Xiaolong and Hu, Yao and Bai, Song and Ding, Fei and Bai, Xiang and Torr, Philip H. S.}, title = {Multi-Shot Temporal Event Localization: A Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12596-12606} }
Spatially-Adaptive Pixelwise Networks for Fast Image Translation: Tamar Rott Shaham,

Michael Gharbi,

Richard Zhang,

Eli Shechtman,

Tomer Michaeli; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shaham_2021_CVPR, author = {Shaham, Tamar Rott and Gharbi, Michael and Zhang, Richard and Shechtman, Eli and Michaeli, Tomer}, title = {Spatially-Adaptive Pixelwise Networks for Fast Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14882-14891} }
Anycost GANs for Interactive Image Synthesis and Editing: Ji Lin,

Richard Zhang,

Frieder Ganz,

Song Han,

Jun-Yan Zhu; [pdf] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Ji and Zhang, Richard and Ganz, Frieder and Han, Song and Zhu, Jun-Yan}, title = {Anycost GANs for Interactive Image Synthesis and Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14986-14996} }
Robust Audio-Visual Instance Discrimination: Pedro Morgado,

Ishan Misra,

Nuno Vasconcelos; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Morgado_2021_CVPR, author = {Morgado, Pedro and Misra, Ishan and Vasconcelos, Nuno}, title = {Robust Audio-Visual Instance Discrimination}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12934-12945} }
Multi-Label Activity Recognition Using Activity-Specific Features and Activity Correlations: Yanyi Zhang,

Xinyu Li,

Ivan Marsic; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yanyi and Li, Xinyu and Marsic, Ivan}, title = {Multi-Label Activity Recognition Using Activity-Specific Features and Activity Correlations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14625-14635} }
Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos: Yasamin Jafarian,

Hyun Soo Park; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jafarian_2021_CVPR, author = {Jafarian, Yasamin and Park, Hyun Soo}, title = {Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12753-12762} }
Content-Aware GAN Compression: Yuchen Liu,

Zhixin Shu,

Yijun Li,

Zhe Lin,

Federico Perazzi,

Sun-Yuan Kung; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yuchen and Shu, Zhixin and Li, Yijun and Lin, Zhe and Perazzi, Federico and Kung, Sun-Yuan}, title = {Content-Aware GAN Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12156-12166} }
Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction: Shipeng Zhang,

Lizhi Wang,

Lei Zhang,

Hua Huang; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Shipeng and Wang, Lizhi and Zhang, Lei and Huang, Hua}, title = {Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12006-12015} }
Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark: Xiao Wang,

Xiujun Shu,

Zhipeng Zhang,

Bo Jiang,

Yaowei Wang,

Yonghong Tian,

Feng Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Xiao and Shu, Xiujun and Zhang, Zhipeng and Jiang, Bo and Wang, Yaowei and Tian, Yonghong and Wu, Feng}, title = {Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13763-13773} }
Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning: Mingjie Sun,

Jimin Xiao,

Eng Gee Lim; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Mingjie and Xiao, Jimin and Lim, Eng Gee}, title = {Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14060-14069} }
Simulating Unknown Target Models for Query-Efficient Black-Box Attacks: Chen Ma,

Li Chen,

Jun-Hai Yong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ma_2021_CVPR, author = {Ma, Chen and Chen, Li and Yong, Jun-Hai}, title = {Simulating Unknown Target Models for Query-Efficient Black-Box Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11835-11844} }
PointAugmenting: Cross-Modal Augmentation for 3D Object Detection: Chunwei Wang,

Chao Ma,

Ming Zhu,

Xiaokang Yang; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Chunwei and Ma, Chao and Zhu, Ming and Yang, Xiaokang}, title = {PointAugmenting: Cross-Modal Augmentation for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11794-11803} }
Learning Feature Aggregation for Deep 3D Morphable Models: Zhixiang Chen,

Tae-Kyun Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Zhixiang and Kim, Tae-Kyun}, title = {Learning Feature Aggregation for Deep 3D Morphable Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13164-13173} }
There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge: Francisco Rivera Valverde,

Juana Valeria Hurtado,

Abhinav Valada; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Valverde_2021_CVPR, author = {Valverde, Francisco Rivera and Hurtado, Juana Valeria and Valada, Abhinav}, title = {There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11612-11621} }
DeRF: Decomposed Radiance Fields: Daniel Rebain,

Wei Jiang,

Soroosh Yazdani,

Ke Li,

Kwang Moo Yi,

Andrea Tagliasacchi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Rebain_2021_CVPR, author = {Rebain, Daniel and Jiang, Wei and Yazdani, Soroosh and Li, Ke and Yi, Kwang Moo and Tagliasacchi, Andrea}, title = {DeRF: Decomposed Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14153-14161} }
MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network: Yulun Zhang,

Kai Li,

Kunpeng Li,

Yun Fu; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yulun and Li, Kai and Li, Kunpeng and Fu, Yun}, title = {MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13425-13434} }
(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network: Ran Cheng,

Ryan Razani,

Ehsan Taghavi,

Enxu Li,

Bingbing Liu; [pdf] [supp]
[bibtex]
@InProceedings{Cheng_2021_CVPR, author = {Cheng, Ran and Razani, Ryan and Taghavi, Ehsan and Li, Enxu and Liu, Bingbing}, title = {(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12547-12556} }
Track To Detect and Segment: An Online Multi-Object Tracker: Jialian Wu,

Jiale Cao,

Liangchen Song,

Yu Wang,

Ming Yang,

Junsong Yuan; [pdf] [arXiv]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Jialian and Cao, Jiale and Song, Liangchen and Wang, Yu and Yang, Ming and Yuan, Junsong}, title = {Track To Detect and Segment: An Online Multi-Object Tracker}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12352-12361} }
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks: Abhishek Singh,

Ayush Chopra,

Ethan Garza,

Emily Zhang,

Praneeth Vepakomma,

Vivek Sharma,

Ramesh Raskar; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Singh_2021_CVPR, author = {Singh, Abhishek and Chopra, Ayush and Garza, Ethan and Zhang, Emily and Vepakomma, Praneeth and Sharma, Vivek and Raskar, Ramesh}, title = {DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12125-12135} }
Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection: Zhenyu Zhang,

Yanhao Ge,

Renwang Chen,

Ying Tai,

Yan Yan,

Jian Yang,

Chengjie Wang,

Jilin Li,

Feiyue Huang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Zhenyu and Ge, Yanhao and Chen, Renwang and Tai, Ying and Yan, Yan and Yang, Jian and Wang, Chengjie and Li, Jilin and Huang, Feiyue}, title = {Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14214-14224} }
Leveraging Line-Point Consistence To Preserve Structures for Wide Parallax Image Stitching: Qi Jia,

ZhengJun Li,

Xin Fan,

Haotian Zhao,

Shiyu Teng,

Xinchen Ye,

Longin Jan Latecki; [pdf]
[bibtex]
@InProceedings{Jia_2021_CVPR, author = {Jia, Qi and Li, ZhengJun and Fan, Xin and Zhao, Haotian and Teng, Shiyu and Ye, Xinchen and Latecki, Longin Jan}, title = {Leveraging Line-Point Consistence To Preserve Structures for Wide Parallax Image Stitching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12186-12195} }
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection: He Wang,

Yezhen Cong,

Or Litany,

Yue Gao,

Leonidas J. Guibas; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, He and Cong, Yezhen and Litany, Or and Gao, Yue and Guibas, Leonidas J.}, title = {3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14615-14624} }
Time Adaptive Recurrent Neural Network: Anil Kag,

Venkatesh Saligrama; [pdf] [supp]
[bibtex]
@InProceedings{Kag_2021_CVPR, author = {Kag, Anil and Saligrama, Venkatesh}, title = {Time Adaptive Recurrent Neural Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15149-15158} }
Neighborhood Normalization for Robust Geometric Feature Learning: Xingtong Liu,

Benjamin D. Killeen,

Ayushi Sinha,

Masaru Ishii,

Gregory D. Hager,

Russell H. Taylor,

Mathias Unberath; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Xingtong and Killeen, Benjamin D. and Sinha, Ayushi and Ishii, Masaru and Hager, Gregory D. and Taylor, Russell H. and Unberath, Mathias}, title = {Neighborhood Normalization for Robust Geometric Feature Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13049-13058} }
Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection: Xubin Zhong,

Xian Qu,

Changxing Ding,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhong_2021_CVPR, author = {Zhong, Xubin and Qu, Xian and Ding, Changxing and Tao, Dacheng}, title = {Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13234-13243} }
Improving Unsupervised Image Clustering With Robust Learning: Sungwon Park,

Sungwon Han,

Sundong Kim,

Danu Kim,

Sungkyu Park,

Seunghoon Hong,

Meeyoung Cha; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Park_2021_CVPR, author = {Park, Sungwon and Han, Sungwon and Kim, Sundong and Kim, Danu and Park, Sungkyu and Hong, Seunghoon and Cha, Meeyoung}, title = {Improving Unsupervised Image Clustering With Robust Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12278-12287} }
SSLayout360: Semi-Supervised Indoor Layout Estimation From 360deg Panorama: Phi Vu Tran; [pdf] [supp]
[bibtex]
@InProceedings{Tran_2021_CVPR, author = {Tran, Phi Vu}, title = {SSLayout360: Semi-Supervised Indoor Layout Estimation From 360deg Panorama}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15353-15362} }
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud: Wu Zheng,

Weiliang Tang,

Li Jiang,

Chi-Wing Fu; [pdf] [supp]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Wu and Tang, Weiliang and Jiang, Li and Fu, Chi-Wing}, title = {SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14494-14503} }
Intra-Inter Camera Similarity for Unsupervised Person Re-Identification: Shiyu Xuan,

Shiliang Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Xuan_2021_CVPR, author = {Xuan, Shiyu and Zhang, Shiliang}, title = {Intra-Inter Camera Similarity for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11926-11935} }
Efficient Feature Transformations for Discriminative and Generative Continual Learning: Vinay Kumar Verma,

Kevin J Liang,

Nikhil Mehta,

Piyush Rai,

Lawrence Carin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Verma_2021_CVPR, author = {Verma, Vinay Kumar and Liang, Kevin J and Mehta, Nikhil and Rai, Piyush and Carin, Lawrence}, title = {Efficient Feature Transformations for Discriminative and Generative Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13865-13875} }
Learning a Self-Expressive Network for Subspace Clustering: Shangzhi Zhang,

Chong You,

Rene Vidal,

Chun-Guang Li; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Shangzhi and You, Chong and Vidal, Rene and Li, Chun-Guang}, title = {Learning a Self-Expressive Network for Subspace Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12393-12403} }
VisualVoice: Audio-Visual Speech Separation With Cross-Modal Consistency: Ruohan Gao,

Kristen Grauman; [pdf] [arXiv]
[bibtex]
@InProceedings{Gao_2021_CVPR, author = {Gao, Ruohan and Grauman, Kristen}, title = {VisualVoice: Audio-Visual Speech Separation With Cross-Modal Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15495-15505} }
Nearest Neighbor Matching for Deep Clustering: Zhiyuan Dang,

Cheng Deng,

Xu Yang,

Kun Wei,

Heng Huang; [pdf]
[bibtex]
@InProceedings{Dang_2021_CVPR, author = {Dang, Zhiyuan and Deng, Cheng and Yang, Xu and Wei, Kun and Huang, Heng}, title = {Nearest Neighbor Matching for Deep Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13693-13702} }
MOOD: Multi-Level Out-of-Distribution Detection: Ziqian Lin,

Sreya Dutta Roy,

Yixuan Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Ziqian and Roy, Sreya Dutta and Li, Yixuan}, title = {MOOD: Multi-Level Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15313-15323} }
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network Using Barnes-Hut 2D-Tree Representation: Sk Aziz Ali,

Kerem Kahraman,

Gerd Reis,

Didier Stricker; [pdf] [supp]
[bibtex]
@InProceedings{Ali_2021_CVPR, author = {Ali, Sk Aziz and Kahraman, Kerem and Reis, Gerd and Stricker, Didier}, title = {RPSRNet: End-to-End Trainable Rigid Point Set Registration Network Using Barnes-Hut 2D-Tree Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13100-13110} }
Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes: Towaki Takikawa,

Joey Litalien,

Kangxue Yin,

Karsten Kreis,

Charles Loop,

Derek Nowrouzezahrai,

Alec Jacobson,

Morgan McGuire,

Sanja Fidler; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Takikawa_2021_CVPR, author = {Takikawa, Towaki and Litalien, Joey and Yin, Kangxue and Kreis, Karsten and Loop, Charles and Nowrouzezahrai, Derek and Jacobson, Alec and McGuire, Morgan and Fidler, Sanja}, title = {Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11358-11367} }
On Feature Normalization and Data Augmentation: Boyi Li,

Felix Wu,

Ser-Nam Lim,

Serge Belongie,

Kilian Q. Weinberger; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Boyi and Wu, Felix and Lim, Ser-Nam and Belongie, Serge and Weinberger, Kilian Q.}, title = {On Feature Normalization and Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12383-12392} }
Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data: Ying Shu,

Yan Yan,

Si Chen,

Jing-Hao Xue,

Chunhua Shen,

Hanzi Wang; [pdf]
[bibtex]
@InProceedings{Shu_2021_CVPR, author = {Shu, Ying and Yan, Yan and Chen, Si and Xue, Jing-Hao and Shen, Chunhua and Wang, Hanzi}, title = {Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11916-11925} }
Motion Representations for Articulated Animation: Aliaksandr Siarohin,

Oliver J. Woodford,

Jian Ren,

Menglei Chai,

Sergey Tulyakov; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Siarohin_2021_CVPR, author = {Siarohin, Aliaksandr and Woodford, Oliver J. and Ren, Jian and Chai, Menglei and Tulyakov, Sergey}, title = {Motion Representations for Articulated Animation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13653-13662} }
Center-Based 3D Object Detection and Tracking: Tianwei Yin,

Xingyi Zhou,

Philipp Krahenbuhl; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yin_2021_CVPR, author = {Yin, Tianwei and Zhou, Xingyi and Krahenbuhl, Philipp}, title = {Center-Based 3D Object Detection and Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11784-11793} }
Understanding and Simplifying Perceptual Distances: Dan Amir,

Yair Weiss; [pdf] [supp]
[bibtex]
@InProceedings{Amir_2021_CVPR, author = {Amir, Dan and Weiss, Yair}, title = {Understanding and Simplifying Perceptual Distances}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12226-12235} }
RepVGG: Making VGG-Style ConvNets Great Again: Xiaohan Ding,

Xiangyu Zhang,

Ningning Ma,

Jungong Han,

Guiguang Ding,

Jian Sun; [pdf] [arXiv]
[bibtex]
@InProceedings{Ding_2021_CVPR, author = {Ding, Xiaohan and Zhang, Xiangyu and Ma, Ningning and Han, Jungong and Ding, Guiguang and Sun, Jian}, title = {RepVGG: Making VGG-Style ConvNets Great Again}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13733-13742} }
MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions: Haixu Wu,

Zhiyu Yao,

Jianmin Wang,

Mingsheng Long; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Haixu and Yao, Zhiyu and Wang, Jianmin and Long, Mingsheng}, title = {MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15435-15444} }
Scale-Localized Abstract Reasoning: Yaniv Benny,

Niv Pekar,

Lior Wolf; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Benny_2021_CVPR, author = {Benny, Yaniv and Pekar, Niv and Wolf, Lior}, title = {Scale-Localized Abstract Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12557-12565} }
Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings: Hao Guo,

Song Wang; [pdf]
[bibtex]
@InProceedings{Guo_2021_CVPR, author = {Guo, Hao and Wang, Song}, title = {Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15089-15098} }
Fair Feature Distillation for Visual Recognition: Sangwon Jung,

Donggyu Lee,

Taeeon Park,

Taesup Moon; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jung_2021_CVPR, author = {Jung, Sangwon and Lee, Donggyu and Park, Taeeon and Moon, Taesup}, title = {Fair Feature Distillation for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12115-12124} }
Scaled-YOLOv4: Scaling Cross Stage Partial Network: Chien-Yao Wang,

Alexey Bochkovskiy,

Hong-Yuan Mark Liao; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark}, title = {Scaled-YOLOv4: Scaling Cross Stage Partial Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13029-13038} }
Knowledge Evolution in Neural Networks: Ahmed Taha,

Abhinav Shrivastava,

Larry S. Davis; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Taha_2021_CVPR, author = {Taha, Ahmed and Shrivastava, Abhinav and Davis, Larry S.}, title = {Knowledge Evolution in Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12843-12852} }
Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification: Fariborz Taherkhani,

Ali Dabouei,

Sobhan Soleymani,

Jeremy Dawson,

Nasser M. Nasrabadi; [pdf]
[bibtex]
@InProceedings{Taherkhani_2021_CVPR, author = {Taherkhani, Fariborz and Dabouei, Ali and Soleymani, Sobhan and Dawson, Jeremy and Nasrabadi, Nasser M.}, title = {Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12267-12277} }
i3DMM: Deep Implicit 3D Morphable Model of Human Heads: Tarun Yenamandra,

Ayush Tewari,

Florian Bernard,

Hans-Peter Seidel,

Mohamed Elgharib,

Daniel Cremers,

Christian Theobalt; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yenamandra_2021_CVPR, author = {Yenamandra, Tarun and Tewari, Ayush and Bernard, Florian and Seidel, Hans-Peter and Elgharib, Mohamed and Cremers, Daniel and Theobalt, Christian}, title = {i3DMM: Deep Implicit 3D Morphable Model of Human Heads}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12803-12813} }
Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes: Huiting Yang,

Liangyu Chai,

Qiang Wen,

Shuang Zhao,

Zixun Sun,

Shengfeng He; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Huiting and Chai, Liangyu and Wen, Qiang and Zhao, Shuang and Sun, Zixun and He, Shengfeng}, title = {Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12177-12185} }
Blocks-World Cameras: Jongho Lee,

Mohit Gupta; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Jongho and Gupta, Mohit}, title = {Blocks-World Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11412-11422} }
Detecting Human-Object Interaction via Fabricated Compositional Learning: Zhi Hou,

Baosheng Yu,

Yu Qiao,

Xiaojiang Peng,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hou_2021_CVPR, author = {Hou, Zhi and Yu, Baosheng and Qiao, Yu and Peng, Xiaojiang and Tao, Dacheng}, title = {Detecting Human-Object Interaction via Fabricated Compositional Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14646-14655} }
Learning by Planning: Language-Guided Global Image Editing: Jing Shi,

Ning Xu,

Yihang Xu,

Trung Bui,

Franck Dernoncourt,

Chenliang Xu; [pdf] [supp]
[bibtex]
@InProceedings{Shi_2021_CVPR, author = {Shi, Jing and Xu, Ning and Xu, Yihang and Bui, Trung and Dernoncourt, Franck and Xu, Chenliang}, title = {Learning by Planning: Language-Guided Global Image Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13590-13599} }
Bidirectional Projection Network for Cross Dimension Scene Understanding: Wenbo Hu,

Hengshuang Zhao,

Li Jiang,

Jiaya Jia,

Tien-Tsin Wong; [pdf] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Wenbo and Zhao, Hengshuang and Jiang, Li and Jia, Jiaya and Wong, Tien-Tsin}, title = {Bidirectional Projection Network for Cross Dimension Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14373-14382} }
Event-Based Synthetic Aperture Imaging With a Hybrid Network: Xiang Zhang,

Wei Liao,

Lei Yu,

Wen Yang,

Gui-Song Xia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xiang and Liao, Wei and Yu, Lei and Yang, Wen and Xia, Gui-Song}, title = {Event-Based Synthetic Aperture Imaging With a Hybrid Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14235-14244} }
Learning Statistical Texture for Semantic Segmentation: Lanyun Zhu,

Deyi Ji,

Shiping Zhu,

Weihao Gan,

Wei Wu,

Junjie Yan; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Lanyun and Ji, Deyi and Zhu, Shiping and Gan, Weihao and Wu, Wei and Yan, Junjie}, title = {Learning Statistical Texture for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12537-12546} }
FP-NAS: Fast Probabilistic Neural Architecture Search: Zhicheng Yan,

Xiaoliang Dai,

Peizhao Zhang,

Yuandong Tian,

Bichen Wu,

Matt Feiszli; [pdf] [supp]
[bibtex]
@InProceedings{Yan_2021_CVPR, author = {Yan, Zhicheng and Dai, Xiaoliang and Zhang, Peizhao and Tian, Yuandong and Wu, Bichen and Feiszli, Matt}, title = {FP-NAS: Fast Probabilistic Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15139-15148} }
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA: Kenneth Marino,

Xinlei Chen,

Devi Parikh,

Abhinav Gupta,

Marcus Rohrbach; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Marino_2021_CVPR, author = {Marino, Kenneth and Chen, Xinlei and Parikh, Devi and Gupta, Abhinav and Rohrbach, Marcus}, title = {KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14111-14121} }
LED2-Net: Monocular 360deg Layout Estimation via Differentiable Depth Rendering: Fu-En Wang,

Yu-Hsuan Yeh,

Min Sun,

Wei-Chen Chiu,

Yi-Hsuan Tsai; [pdf]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Fu-En and Yeh, Yu-Hsuan and Sun, Min and Chiu, Wei-Chen and Tsai, Yi-Hsuan}, title = {LED2-Net: Monocular 360deg Layout Estimation via Differentiable Depth Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12956-12965} }
Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos: Mingxing Zhang,

Yang Yang,

Xinghan Chen,

Yanli Ji,

Xing Xu,

Jingjing Li,

Heng Tao Shen; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Mingxing and Yang, Yang and Chen, Xinghan and Ji, Yanli and Xu, Xing and Li, Jingjing and Shen, Heng Tao}, title = {Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12669-12678} }
Autoregressive Stylized Motion Synthesis With Generative Flow: Yu-Hui Wen,

Zhipeng Yang,

Hongbo Fu,

Lin Gao,

Yanan Sun,

Yong-Jin Liu; [pdf] [supp]
[bibtex]
@InProceedings{Wen_2021_CVPR, author = {Wen, Yu-Hui and Yang, Zhipeng and Fu, Hongbo and Gao, Lin and Sun, Yanan and Liu, Yong-Jin}, title = {Autoregressive Stylized Motion Synthesis With Generative Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13612-13621} }
Adaptive Methods for Real-World Domain Generalization: Abhimanyu Dubey,

Vignesh Ramanathan,

Alex Pentland,

Dhruv Mahajan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dubey_2021_CVPR, author = {Dubey, Abhimanyu and Ramanathan, Vignesh and Pentland, Alex and Mahajan, Dhruv}, title = {Adaptive Methods for Real-World Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14340-14349} }
Isometric Multi-Shape Matching: Maolin Gao,

Zorah Lahner,

Johan Thunberg,

Daniel Cremers,

Florian Bernard; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2021_CVPR, author = {Gao, Maolin and Lahner, Zorah and Thunberg, Johan and Cremers, Daniel and Bernard, Florian}, title = {Isometric Multi-Shape Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14183-14193} }
Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation: Ling Hu,

Qinsong Li,

Shengjun Liu,

Xinru Liu; [pdf] [supp]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Ling and Li, Qinsong and Liu, Shengjun and Liu, Xinru}, title = {Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14536-14545} }
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?: Akshay Mehra,

Bhavya Kailkhura,

Pin-Yu Chen,

Jihun Hamm; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mehra_2021_CVPR, author = {Mehra, Akshay and Kailkhura, Bhavya and Chen, Pin-Yu and Hamm, Jihun}, title = {How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13244-13253} }
Explore Image Deblurring via Encoded Blur Kernel Space: Phong Tran,

Anh Tuan Tran,

Quynh Phung,

Minh Hoai; [pdf] [supp]
[bibtex]
@InProceedings{Tran_2021_CVPR, author = {Tran, Phong and Tran, Anh Tuan and Phung, Quynh and Hoai, Minh}, title = {Explore Image Deblurring via Encoded Blur Kernel Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11956-11965} }
Lipstick Ain't Enough: Beyond Color Matching for In-the-Wild Makeup Transfer: Thao Nguyen,

Anh Tuan Tran,

Minh Hoai; [pdf] [supp]
[bibtex]
@InProceedings{Nguyen_2021_CVPR, author = {Nguyen, Thao and Tran, Anh Tuan and Hoai, Minh}, title = {Lipstick Ain't Enough: Beyond Color Matching for In-the-Wild Makeup Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13305-13314} }
Learning To Identify Correct 2D-2D Line Correspondences on Sphere: Haoang Li,

Kai Chen,

Ji Zhao,

Jiangliu Wang,

Pyojin Kim,

Zhe Liu,

Yun-Hui Liu; [pdf]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Haoang and Chen, Kai and Zhao, Ji and Wang, Jiangliu and Kim, Pyojin and Liu, Zhe and Liu, Yun-Hui}, title = {Learning To Identify Correct 2D-2D Line Correspondences on Sphere}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11743-11752} }
Neural Descent for Visual 3D Human Pose and Shape: Andrei Zanfir,

Eduard Gabriel Bazavan,

Mihai Zanfir,

William T. Freeman,

Rahul Sukthankar,

Cristian Sminchisescu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zanfir_2021_CVPR, author = {Zanfir, Andrei and Bazavan, Eduard Gabriel and Zanfir, Mihai and Freeman, William T. and Sukthankar, Rahul and Sminchisescu, Cristian}, title = {Neural Descent for Visual 3D Human Pose and Shape}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14484-14493} }
Transitional Adaptation of Pretrained Models for Visual Storytelling: Youngjae Yu,

Jiwan Chung,

Heeseung Yun,

Jongseok Kim,

Gunhee Kim; [pdf] [supp]
[bibtex]
@InProceedings{Yu_2021_CVPR, author = {Yu, Youngjae and Chung, Jiwan and Yun, Heeseung and Kim, Jongseok and Kim, Gunhee}, title = {Transitional Adaptation of Pretrained Models for Visual Storytelling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12658-12668} }
Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement: Huiwen Luo,

Koki Nagano,

Han-Wei Kung,

Qingguo Xu,

Zejian Wang,

Lingyu Wei,

Liwen Hu,

Hao Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Huiwen and Nagano, Koki and Kung, Han-Wei and Xu, Qingguo and Wang, Zejian and Wei, Lingyu and Hu, Liwen and Li, Hao}, title = {Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11662-11672} }
Multi-Stage Progressive Image Restoration: Syed Waqas Zamir,

Aditya Arora,

Salman Khan,

Munawar Hayat,

Fahad Shahbaz Khan,

Ming-Hsuan Yang,

Ling Shao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zamir_2021_CVPR, author = {Zamir, Syed Waqas and Arora, Aditya and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Yang, Ming-Hsuan and Shao, Ling}, title = {Multi-Stage Progressive Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14821-14831} }
PointNetLK Revisited: Xueqian Li,

Jhony Kaesemodel Pontes,

Simon Lucey; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Xueqian and Pontes, Jhony Kaesemodel and Lucey, Simon}, title = {PointNetLK Revisited}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12763-12772} }
Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning: Zhicheng Huang,

Zhaoyang Zeng,

Yupan Huang,

Bei Liu,

Dongmei Fu,

Jianlong Fu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Zhicheng and Zeng, Zhaoyang and Huang, Yupan and Liu, Bei and Fu, Dongmei and Fu, Jianlong}, title = {Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12976-12985} }
Quality-Agnostic Image Recognition via Invertible Decoder: Insoo Kim,

Seungju Han,

Ji-won Baek,

Seong-Jin Park,

Jae-Joon Han,

Jinwoo Shin; [pdf] [supp]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Insoo and Han, Seungju and Baek, Ji-won and Park, Seong-Jin and Han, Jae-Joon and Shin, Jinwoo}, title = {Quality-Agnostic Image Recognition via Invertible Decoder}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12257-12266} }
MP3: A Unified Model To Map, Perceive, Predict and Plan: Sergio Casas,

Abbas Sadat,

Raquel Urtasun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Casas_2021_CVPR, author = {Casas, Sergio and Sadat, Abbas and Urtasun, Raquel}, title = {MP3: A Unified Model To Map, Perceive, Predict and Plan}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14403-14412} }
The Translucent Patch: A Physical and Universal Attack on Object Detectors: Alon Zolfi,

Moshe Kravchik,

Yuval Elovici,

Asaf Shabtai; [pdf] [arXiv]
[bibtex]
@InProceedings{Zolfi_2021_CVPR, author = {Zolfi, Alon and Kravchik, Moshe and Elovici, Yuval and Shabtai, Asaf}, title = {The Translucent Patch: A Physical and Universal Attack on Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15232-15241} }
Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On: Igor Santesteban,

Nils Thuerey,

Miguel A. Otaduy,

Dan Casas; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Santesteban_2021_CVPR, author = {Santesteban, Igor and Thuerey, Nils and Otaduy, Miguel A. and Casas, Dan}, title = {Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11763-11773} }
High-Quality Stereo Image Restoration From Double Refraction: Hakyeong Kim,

Andreas Meuleman,

Daniel S. Jeon,

Min H. Kim; [pdf] [supp]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Hakyeong and Meuleman, Andreas and Jeon, Daniel S. and Kim, Min H.}, title = {High-Quality Stereo Image Restoration From Double Refraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11987-11995} }
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild: Bastian Wandt,

Marco Rudolph,

Petrissa Zell,

Helge Rhodin,

Bodo Rosenhahn; [pdf] [arXiv]
[bibtex]
@InProceedings{Wandt_2021_CVPR, author = {Wandt, Bastian and Rudolph, Marco and Zell, Petrissa and Rhodin, Helge and Rosenhahn, Bodo}, title = {CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13294-13304} }
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation: Liwei Wang,

Jing Huang,

Yin Li,

Kun Xu,

Zhengyuan Yang,

Dong Yu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Liwei and Huang, Jing and Li, Yin and Xu, Kun and Yang, Zhengyuan and Yu, Dong}, title = {Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14090-14100} }
Radar-Camera Pixel Depth Association for Depth Completion: Yunfei Long,

Daniel Morris,

Xiaoming Liu,

Marcos Castro,

Punarjay Chakravarty,

Praveen Narayanan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Long_2021_CVPR, author = {Long, Yunfei and Morris, Daniel and Liu, Xiaoming and Castro, Marcos and Chakravarty, Punarjay and Narayanan, Praveen}, title = {Radar-Camera Pixel Depth Association for Depth Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12507-12516} }
Improved Image Matting via Real-Time User Clicks and Uncertainty Estimation: Tianyi Wei,

Dongdong Chen,

Wenbo Zhou,

Jing Liao,

Hanqing Zhao,

Weiming Zhang,

Nenghai Yu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wei_2021_CVPR, author = {Wei, Tianyi and Chen, Dongdong and Zhou, Wenbo and Liao, Jing and Zhao, Hanqing and Zhang, Weiming and Yu, Nenghai}, title = {Improved Image Matting via Real-Time User Clicks and Uncertainty Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15374-15383} }
IMODAL: Creating Learnable User-Defined Deformation Models: Leander Lacroix,

Benjamin Charlier,

Alain Trouve,

Barbara Gris; [pdf] [supp]
[bibtex]
@InProceedings{Lacroix_2021_CVPR, author = {Lacroix, Leander and Charlier, Benjamin and Trouve, Alain and Gris, Barbara}, title = {IMODAL: Creating Learnable User-Defined Deformation Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12905-12913} }
Fast End-to-End Learning on Protein Surfaces: Freyr Sverrisson,

Jean Feydy,

Bruno E. Correia,

Michael M. Bronstein; [pdf] [supp]
[bibtex]
@InProceedings{Sverrisson_2021_CVPR, author = {Sverrisson, Freyr and Feydy, Jean and Correia, Bruno E. and Bronstein, Michael M.}, title = {Fast End-to-End Learning on Protein Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15272-15281} }
Person Re-Identification Using Heterogeneous Local Graph Attention Networks: Zhong Zhang,

Haijia Zhang,

Shuang Liu; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Zhong and Zhang, Haijia and Liu, Shuang}, title = {Person Re-Identification Using Heterogeneous Local Graph Attention Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12136-12145} }
Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency: Qing Liu,

Vignesh Ramanathan,

Dhruv Mahajan,

Alan Yuille,

Zhenheng Yang; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Qing and Ramanathan, Vignesh and Mahajan, Dhruv and Yuille, Alan and Yang, Zhenheng}, title = {Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13968-13978} }
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation: Ryuhei Hamaguchi,

Yasutaka Furukawa,

Masaki Onishi,

Ken Sakurada; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hamaguchi_2021_CVPR, author = {Hamaguchi, Ryuhei and Furukawa, Yasutaka and Onishi, Masaki and Sakurada, Ken}, title = {Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13946-13955} }
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression: Wanhua Li,

Xiaoke Huang,

Jiwen Lu,

Jianjiang Feng,

Jie Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Wanhua and Huang, Xiaoke and Lu, Jiwen and Feng, Jianjiang and Zhou, Jie}, title = {Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13896-13905} }
StyleMix: Separating Content and Style for Enhanced Data Augmentation: Minui Hong,

Jinwoo Choi,

Gunhee Kim; [pdf] [supp]
[bibtex]
@InProceedings{Hong_2021_CVPR, author = {Hong, Minui and Choi, Jinwoo and Kim, Gunhee}, title = {StyleMix: Separating Content and Style for Enhanced Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14862-14870} }
Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain: Mingchen Zhuge,

Dehong Gao,

Deng-Ping Fan,

Linbo Jin,

Ben Chen,

Haoming Zhou,

Minghui Qiu,

Ling Shao; [pdf]
[bibtex]
@InProceedings{Zhuge_2021_CVPR, author = {Zhuge, Mingchen and Gao, Dehong and Fan, Deng-Ping and Jin, Linbo and Chen, Ben and Zhou, Haoming and Qiu, Minghui and Shao, Ling}, title = {Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12647-12657} }
Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack: He Wang,

Feixiang He,

Zhexi Peng,

Tianjia Shao,

Yong-Liang Yang,

Kun Zhou,

David Hogg; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, He and He, Feixiang and Peng, Zhexi and Shao, Tianjia and Yang, Yong-Liang and Zhou, Kun and Hogg, David}, title = {Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14656-14665} }
Cross-MPI: Cross-Scale Stereo for Image Super-Resolution Using Multiplane Images: Yuemei Zhou,

Gaochang Wu,

Ying Fu,

Kun Li,

Yebin Liu; [pdf]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Yuemei and Wu, Gaochang and Fu, Ying and Li, Kun and Liu, Yebin}, title = {Cross-MPI: Cross-Scale Stereo for Image Super-Resolution Using Multiplane Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14842-14851} }
Meta Pseudo Labels: Hieu Pham,

Zihang Dai,

Qizhe Xie,

Quoc V. Le; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pham_2021_CVPR, author = {Pham, Hieu and Dai, Zihang and Xie, Qizhe and Le, Quoc V.}, title = {Meta Pseudo Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11557-11568} }
Depth Completion Using Plane-Residual Representation: Byeong-Uk Lee,

Kyunghyun Lee,

In So Kweon; [pdf] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Byeong-Uk and Lee, Kyunghyun and Kweon, In So}, title = {Depth Completion Using Plane-Residual Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13916-13925} }
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents: ByeoungDo Kim,

Seong Hyeon Park,

Seokhwan Lee,

Elbek Khoshimjonov,

Dongsuk Kum,

Junsoo Kim,

Jeong Soo Kim,

Jun Won Choi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, ByeoungDo and Park, Seong Hyeon and Lee, Seokhwan and Khoshimjonov, Elbek and Kum, Dongsuk and Kim, Junsoo and Kim, Jeong Soo and Choi, Jun Won}, title = {LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14636-14645} }
Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions: Mathew Monfort,

SouYoung Jin,

Alexander Liu,

David Harwath,

Rogerio Feris,

James Glass,

Aude Oliva; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Monfort_2021_CVPR, author = {Monfort, Mathew and Jin, SouYoung and Liu, Alexander and Harwath, David and Feris, Rogerio and Glass, James and Oliva, Aude}, title = {Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14871-14881} }
Indoor Lighting Estimation Using an Event Camera: Zehao Chen,

Qian Zheng,

Peisong Niu,

Huajin Tang,

Gang Pan; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Zehao and Zheng, Qian and Niu, Peisong and Tang, Huajin and Pan, Gang}, title = {Indoor Lighting Estimation Using an Event Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14760-14770} }
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark: Joakim Bruslund Haurum,

Thomas B. Moeslund; [pdf] [supp]
[bibtex]
@InProceedings{Haurum_2021_CVPR, author = {Haurum, Joakim Bruslund and Moeslund, Thomas B.}, title = {Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13456-13467} }
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration: Sheng Ao,

Qingyong Hu,

Bo Yang,

Andrew Markham,

Yulan Guo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ao_2021_CVPR, author = {Ao, Sheng and Hu, Qingyong and Yang, Bo and Markham, Andrew and Guo, Yulan}, title = {SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11753-11762} }
SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection: Remi Pautrat,

Juan-Ting Lin,

Viktor Larsson,

Martin R. Oswald,

Marc Pollefeys; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pautrat_2021_CVPR, author = {Pautrat, Remi and Lin, Juan-Ting and Larsson, Viktor and Oswald, Martin R. and Pollefeys, Marc}, title = {SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11368-11378} }
Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding: Xin Wen,

Zhizhong Han,

Yan-Pei Cao,

Pengfei Wan,

Wen Zheng,

Yu-Shen Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Wen_2021_CVPR, author = {Wen, Xin and Han, Zhizhong and Cao, Yan-Pei and Wan, Pengfei and Zheng, Wen and Liu, Yu-Shen}, title = {Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13080-13089} }
CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation: Tao Lu,

Limin Wang,

Gangshan Wu; [pdf]
[bibtex]
@InProceedings{Lu_2021_CVPR, author = {Lu, Tao and Wang, Limin and Wu, Gangshan}, title = {CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11693-11702} }
Neural Prototype Trees for Interpretable Fine-Grained Image Recognition: Meike Nauta,

Ron van Bree,

Christin Seifert; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nauta_2021_CVPR, author = {Nauta, Meike and van Bree, Ron and Seifert, Christin}, title = {Neural Prototype Trees for Interpretable Fine-Grained Image Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14933-14943} }
Generalizing to the Open World: Deep Visual Odometry With Online Adaptation: Shunkai Li,

Xin Wu,

Yingdian Cao,

Hongbin Zha; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Shunkai and Wu, Xin and Cao, Yingdian and Zha, Hongbin}, title = {Generalizing to the Open World: Deep Visual Odometry With Online Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13184-13193} }
PQA: Perceptual Question Answering: Yonggang Qi,

Kai Zhang,

Aneeshan Sain,

Yi-Zhe Song; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qi_2021_CVPR, author = {Qi, Yonggang and Zhang, Kai and Sain, Aneeshan and Song, Yi-Zhe}, title = {PQA: Perceptual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12056-12064} }
Birds of a Feather: Capturing Avian Shape Models From Images: Yufu Wang,

Nikos Kolotouros,

Kostas Daniilidis,

Marc Badger; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Yufu and Kolotouros, Nikos and Daniilidis, Kostas and Badger, Marc}, title = {Birds of a Feather: Capturing Avian Shape Models From Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14739-14749} }
Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control: Jingfan Guo,

Jie Li,

Rahul Narain,

Hyun Soo Park; [pdf]
[bibtex]
@InProceedings{Guo_2021_CVPR, author = {Guo, Jingfan and Li, Jie and Narain, Rahul and Park, Hyun Soo}, title = {Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14698-14707} }
Rotation Equivariant Siamese Networks for Tracking: Deepak K. Gupta,

Devanshu Arya,

Efstratios Gavves; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gupta_2021_CVPR, author = {Gupta, Deepak K. and Arya, Devanshu and Gavves, Efstratios}, title = {Rotation Equivariant Siamese Networks for Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12362-12371} }
Learning Decision Trees Recurrently Through Communication: Stephan Alaniz,

Diego Marcos,

Bernt Schiele,

Zeynep Akata; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Alaniz_2021_CVPR, author = {Alaniz, Stephan and Marcos, Diego and Schiele, Bernt and Akata, Zeynep}, title = {Learning Decision Trees Recurrently Through Communication}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13518-13527} }
PatchmatchNet: Learned Multi-View Patchmatch Stereo: Fangjinhua Wang,

Silvano Galliani,

Christoph Vogel,

Pablo Speciale,

Marc Pollefeys; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Fangjinhua and Galliani, Silvano and Vogel, Christoph and Speciale, Pablo and Pollefeys, Marc}, title = {PatchmatchNet: Learned Multi-View Patchmatch Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14194-14203} }
Taming Transformers for High-Resolution Image Synthesis: Patrick Esser,

Robin Rombach,

Bjorn Ommer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Esser_2021_CVPR, author = {Esser, Patrick and Rombach, Robin and Ommer, Bjorn}, title = {Taming Transformers for High-Resolution Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12873-12883} }
Learning the Predictability of the Future: Didac Suris,

Ruoshi Liu,

Carl Vondrick; [pdf] [arXiv]
[bibtex]
@InProceedings{Suris_2021_CVPR, author = {Suris, Didac and Liu, Ruoshi and Vondrick, Carl}, title = {Learning the Predictability of the Future}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12607-12617} }
RaScaNet: Learning Tiny Models by Raster-Scanning Images: Jaehyoung Yoo,

Dongwook Lee,

Changyong Son,

Sangil Jung,

ByungIn Yoo,

Changkyu Choi,

Jae-Joon Han,

Bohyung Han; [pdf] [supp]
[bibtex]
@InProceedings{Yoo_2021_CVPR, author = {Yoo, Jaehyoung and Lee, Dongwook and Son, Changyong and Jung, Sangil and Yoo, ByungIn and Choi, Changkyu and Han, Jae-Joon and Han, Bohyung}, title = {RaScaNet: Learning Tiny Models by Raster-Scanning Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13673-13682} }
Reciprocal Landmark Detection and Tracking With Extremely Few Annotations: Jianzhe Lin,

Ghazal Sahebzamani,

Christina Luong,

Fatemeh Taheri Dezaki,

Mohammad Jafari,

Purang Abolmaesumi,

Teresa Tsang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Jianzhe and Sahebzamani, Ghazal and Luong, Christina and Dezaki, Fatemeh Taheri and Jafari, Mohammad and Abolmaesumi, Purang and Tsang, Teresa}, title = {Reciprocal Landmark Detection and Tracking With Extremely Few Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15170-15179} }
Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning: Jinpeng Wang,

Yuting Gao,

Ke Li,

Yiqi Lin,

Andy J. Ma,

Hao Cheng,

Pai Peng,

Feiyue Huang,

Rongrong Ji,

Xing Sun; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Jinpeng and Gao, Yuting and Li, Ke and Lin, Yiqi and Ma, Andy J. and Cheng, Hao and Peng, Pai and Huang, Feiyue and Ji, Rongrong and Sun, Xing}, title = {Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11804-11813} }
DeepSurfels: Learning Online Appearance Fusion: Marko Mihajlovic,

Silvan Weder,

Marc Pollefeys,

Martin R. Oswald; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mihajlovic_2021_CVPR, author = {Mihajlovic, Marko and Weder, Silvan and Pollefeys, Marc and Oswald, Martin R.}, title = {DeepSurfels: Learning Online Appearance Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14524-14535} }
Exploiting Aliasing for Manga Restoration: Minshan Xie,

Menghan Xia,

Tien-Tsin Wong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xie_2021_CVPR, author = {Xie, Minshan and Xia, Menghan and Wong, Tien-Tsin}, title = {Exploiting Aliasing for Manga Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13405-13414} }
Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning: Shichao Kan,

Yigang Cen,

Yang Li,

Vladimir Mladenovic,

Zhihai He; [pdf] [supp]
[bibtex]
@InProceedings{Kan_2021_CVPR, author = {Kan, Shichao and Cen, Yigang and Li, Yang and Mladenovic, Vladimir and He, Zhihai}, title = {Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13999-14008} }
Are Labels Always Necessary for Classifier Accuracy Evaluation?: Weijian Deng,

Liang Zheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Deng_2021_CVPR, author = {Deng, Weijian and Zheng, Liang}, title = {Are Labels Always Necessary for Classifier Accuracy Evaluation?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15069-15078} }
StablePose: Learning 6D Object Poses From Geometrically Stable Patches: Yifei Shi,

Junwen Huang,

Xin Xu,

Yifan Zhang,

Kai Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shi_2021_CVPR, author = {Shi, Yifei and Huang, Junwen and Xu, Xin and Zhang, Yifan and Xu, Kai}, title = {StablePose: Learning 6D Object Poses From Geometrically Stable Patches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15222-15231} }
Interpolation-Based Semi-Supervised Learning for Object Detection: Jisoo Jeong,

Vikas Verma,

Minsung Hyun,

Juho Kannala,

Nojun Kwak; [pdf] [arXiv]
[bibtex]
@InProceedings{Jeong_2021_CVPR, author = {Jeong, Jisoo and Verma, Vikas and Hyun, Minsung and Kannala, Juho and Kwak, Nojun}, title = {Interpolation-Based Semi-Supervised Learning for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11602-11611} }
Teachers Do More Than Teach: Compressing Image-to-Image Models: Qing Jin,

Jian Ren,

Oliver J. Woodford,

Jiazhuo Wang,

Geng Yuan,

Yanzhi Wang,

Sergey Tulyakov; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jin_2021_CVPR, author = {Jin, Qing and Ren, Jian and Woodford, Oliver J. and Wang, Jiazhuo and Yuan, Geng and Wang, Yanzhi and Tulyakov, Sergey}, title = {Teachers Do More Than Teach: Compressing Image-to-Image Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13600-13611} }
3D Spatial Recognition Without Spatially Labeled 3D: Zhongzheng Ren,

Ishan Misra,

Alexander G. Schwing,

Rohit Girdhar; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ren_2021_CVPR, author = {Ren, Zhongzheng and Misra, Ishan and Schwing, Alexander G. and Girdhar, Rohit}, title = {3D Spatial Recognition Without Spatially Labeled 3D}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13204-13213} }
Understanding Failures of Deep Networks via Robust Feature Extraction: Sahil Singla,

Besmira Nushi,

Shital Shah,

Ece Kamar,

Eric Horvitz; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Singla_2021_CVPR, author = {Singla, Sahil and Nushi, Besmira and Shah, Shital and Kamar, Ece and Horvitz, Eric}, title = {Understanding Failures of Deep Networks via Robust Feature Extraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12853-12862} }
Adaptive Image Transformer for One-Shot Object Detection: Ding-Jie Chen,

He-Yen Hsieh,

Tyng-Luh Liu; [pdf]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Ding-Jie and Hsieh, He-Yen and Liu, Tyng-Luh}, title = {Adaptive Image Transformer for One-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12247-12256} }
Bilateral Grid Learning for Stereo Matching Networks: Bin Xu,

Yuhua Xu,

Xiaoli Yang,

Wei Jia,

Yulan Guo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Bin and Xu, Yuhua and Yang, Xiaoli and Jia, Wei and Guo, Yulan}, title = {Bilateral Grid Learning for Stereo Matching Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12497-12506} }
Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning: Jingyu Gong,

Jiachen Xu,

Xin Tan,

Haichuan Song,

Yanyun Qu,

Yuan Xie,

Lizhuang Ma; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gong_2021_CVPR, author = {Gong, Jingyu and Xu, Jiachen and Tan, Xin and Song, Haichuan and Qu, Yanyun and Xie, Yuan and Ma, Lizhuang}, title = {Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11673-11682} }
RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words: Xuying Zhang,

Xiaoshuai Sun,

Yunpeng Luo,

Jiayi Ji,

Yiyi Zhou,

Yongjian Wu,

Feiyue Huang,

Rongrong Ji; [pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xuying and Sun, Xiaoshuai and Luo, Yunpeng and Ji, Jiayi and Zhou, Yiyi and Wu, Yongjian and Huang, Feiyue and Ji, Rongrong}, title = {RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15465-15474} }
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning: Mariana-Iuliana Georgescu,

Antonio Barbalau,

Radu Tudor Ionescu,

Fahad Shahbaz Khan,

Marius Popescu,

Mubarak Shah; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Georgescu_2021_CVPR, author = {Georgescu, Mariana-Iuliana and Barbalau, Antonio and Ionescu, Radu Tudor and Khan, Fahad Shahbaz and Popescu, Marius and Shah, Mubarak}, title = {Anomaly Detection in Video via Self-Supervised and Multi-Task Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12742-12752} }
Multiresolution Knowledge Distillation for Anomaly Detection: Mohammadreza Salehi,

Niousha Sadjadi,

Soroosh Baselizadeh,

Mohammad H. Rohban,

Hamid R. Rabiee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Salehi_2021_CVPR, author = {Salehi, Mohammadreza and Sadjadi, Niousha and Baselizadeh, Soroosh and Rohban, Mohammad H. and Rabiee, Hamid R.}, title = {Multiresolution Knowledge Distillation for Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14902-14912} }
Joint Learning of 3D Shape Retrieval and Deformation: Mikaela Angelina Uy,

Vladimir G. Kim,

Minhyuk Sung,

Noam Aigerman,

Siddhartha Chaudhuri,

Leonidas J. Guibas; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Uy_2021_CVPR, author = {Uy, Mikaela Angelina and Kim, Vladimir G. and Sung, Minhyuk and Aigerman, Noam and Chaudhuri, Siddhartha and Guibas, Leonidas J.}, title = {Joint Learning of 3D Shape Retrieval and Deformation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11713-11722} }
Self-Supervised Video Representation Learning by Context and Motion Decoupling: Lianghua Huang,

Yu Liu,

Bin Wang,

Pan Pan,

Yinghui Xu,

Rong Jin; [pdf] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Lianghua and Liu, Yu and Wang, Bin and Pan, Pan and Xu, Yinghui and Jin, Rong}, title = {Self-Supervised Video Representation Learning by Context and Motion Decoupling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13886-13895} }
ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning: Dominik Bauer,

Timothy Patten,

Markus Vincze; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bauer_2021_CVPR, author = {Bauer, Dominik and Patten, Timothy and Vincze, Markus}, title = {ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14586-14594} }
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?: Malik Boudiaf,

Hoel Kervadec,

Ziko Imtiaz Masud,

Pablo Piantanida,

Ismail Ben Ayed,

Jose Dolz; [pdf] [supp]
[bibtex]
@InProceedings{Boudiaf_2021_CVPR, author = {Boudiaf, Malik and Kervadec, Hoel and Masud, Ziko Imtiaz and Piantanida, Pablo and Ben Ayed, Ismail and Dolz, Jose}, title = {Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13979-13988} }
Scene Text Telescope: Text-Focused Scene Image Super-Resolution: Jingye Chen,

Bin Li,

Xiangyang Xue; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Jingye and Li, Bin and Xue, Xiangyang}, title = {Scene Text Telescope: Text-Focused Scene Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12026-12035} }
Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning: Amaia Salvador,

Erhan Gundogdu,

Loris Bazzani,

Michael Donoser; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Salvador_2021_CVPR, author = {Salvador, Amaia and Gundogdu, Erhan and Bazzani, Loris and Donoser, Michael}, title = {Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15475-15484} }
Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis: Chao Huang,

Anuj Srivastava,

Rongjie Liu; [pdf]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Chao and Srivastava, Anuj and Liu, Rongjie}, title = {Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11496-11505} }
A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks.: Adrien Poulenard,

Leonidas J. Guibas; [pdf] [supp]
[bibtex]
@InProceedings{Poulenard_2021_CVPR, author = {Poulenard, Adrien and Guibas, Leonidas J.}, title = {A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks.}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13174-13183} }
Real-Time Sphere Sweeping Stereo From Multiview Fisheye Images: Andreas Meuleman,

Hyeonjoong Jang,

Daniel S. Jeon,

Min H. Kim; [pdf] [supp]
[bibtex]
@InProceedings{Meuleman_2021_CVPR, author = {Meuleman, Andreas and Jang, Hyeonjoong and Jeon, Daniel S. and Kim, Min H.}, title = {Real-Time Sphere Sweeping Stereo From Multiview Fisheye Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11423-11432} }
Black-Box Explanation of Object Detectors via Saliency Maps: Vitali Petsiuk,

Rajiv Jain,

Varun Manjunatha,

Vlad I. Morariu,

Ashutosh Mehra,

Vicente Ordonez,

Kate Saenko; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Petsiuk_2021_CVPR, author = {Petsiuk, Vitali and Jain, Rajiv and Manjunatha, Varun and Morariu, Vlad I. and Mehra, Ashutosh and Ordonez, Vicente and Saenko, Kate}, title = {Black-Box Explanation of Object Detectors via Saliency Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11443-11452} }
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution: Kelvin C.K. Chan,

Xintao Wang,

Xiangyu Xu,

Jinwei Gu,

Chen Change Loy; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chan_2021_CVPR, author = {Chan, Kelvin C.K. and Wang, Xintao and Xu, Xiangyu and Gu, Jinwei and Loy, Chen Change}, title = {GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14245-14254} }
Spatial Assembly Networks for Image Representation Learning: Yang Li,

Shichao Kan,

Jianhe Yuan,

Wenming Cao,

Zhihai He; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Yang and Kan, Shichao and Yuan, Jianhe and Cao, Wenming and He, Zhihai}, title = {Spatial Assembly Networks for Image Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13876-13885} }
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature: Zedong Tang,

Fenlong Jiang,

Maoguo Gong,

Hao Li,

Yue Wu,

Fan Yu,

Zidong Wang,

Min Wang; [pdf] [supp]
[bibtex]
@InProceedings{Tang_2021_CVPR, author = {Tang, Zedong and Jiang, Fenlong and Gong, Maoguo and Li, Hao and Wu, Yue and Yu, Fan and Wang, Zidong and Wang, Min}, title = {SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13479-13487} }
Picasso: A CUDA-Based Library for Deep Learning Over 3D Meshes: Huan Lei,

Naveed Akhtar,

Ajmal Mian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lei_2021_CVPR, author = {Lei, Huan and Akhtar, Naveed and Mian, Ajmal}, title = {Picasso: A CUDA-Based Library for Deep Learning Over 3D Meshes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13854-13864} }
Student-Teacher Learning From Clean Inputs to Noisy Inputs: Guanzhe Hong,

Zhiyuan Mao,

Xiaojun Lin,

Stanley H. Chan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hong_2021_CVPR, author = {Hong, Guanzhe and Mao, Zhiyuan and Lin, Xiaojun and Chan, Stanley H.}, title = {Student-Teacher Learning From Clean Inputs to Noisy Inputs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12075-12084} }
Adversarial Invariant Learning: Nanyang Ye,

Jingxuan Tang,

Huayu Deng,

Xiao-Yun Zhou,

Qianxiao Li,

Zhenguo Li,

Guang-Zhong Yang,

Zhanxing Zhu; [pdf] [supp]
[bibtex]
@InProceedings{Ye_2021_CVPR, author = {Ye, Nanyang and Tang, Jingxuan and Deng, Huayu and Zhou, Xiao-Yun and Li, Qianxiao and Li, Zhenguo and Yang, Guang-Zhong and Zhu, Zhanxing}, title = {Adversarial Invariant Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12446-12454} }
Learning Optical Flow From Still Images: Filippo Aleotti,

Matteo Poggi,

Stefano Mattoccia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Aleotti_2021_CVPR, author = {Aleotti, Filippo and Poggi, Matteo and Mattoccia, Stefano}, title = {Learning Optical Flow From Still Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15201-15211} }
Deep Perceptual Preprocessing for Video Coding: Aaron Chadha,

Yiannis Andreopoulos; [pdf] [supp]
[bibtex]
@InProceedings{Chadha_2021_CVPR, author = {Chadha, Aaron and Andreopoulos, Yiannis}, title = {Deep Perceptual Preprocessing for Video Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14852-14861} }; Back