CVPR 2020 Open Access Repository

Papers

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Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules: Jinkyu Kim,

Suhong Moon,

Anna Rohrbach,

Trevor Darrell,

John Canny; [pdf] [supp] [video]
[bibtex]
@InProceedings{Kim_2020_CVPR,
author = {Kim, Jinkyu and Moon, Suhong and Rohrbach, Anna and Darrell, Trevor and Canny, John},
title = {Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation: Edoardo Remelli,

Shangchen Han,

Sina Honari,

Pascal Fua,

Robert Wang; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Remelli_2020_CVPR,
author = {Remelli, Edoardo and Han, Shangchen and Honari, Sina and Fua, Pascal and Wang, Robert},
title = {Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory: Arash Rahnama,

Andre T. Nguyen,

Edward Raff; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Rahnama_2020_CVPR,
author = {Rahnama, Arash and Nguyen, Andre T. and Raff, Edward},
title = {Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Modal Deep Face Normals With Deactivable Skip Connections: Victoria Fernandez Abrevaya,

Adnane Boukhayma,

Philip H.S. Torr,

Edmond Boyer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Abrevaya_2020_CVPR,
author = {Abrevaya, Victoria Fernandez and Boukhayma, Adnane and Torr, Philip H.S. and Boyer, Edmond},
title = {Cross-Modal Deep Face Normals With Deactivable Skip Connections},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Progressive Adversarial Networks for Fine-Grained Domain Adaptation: Sinan Wang,

Xinyang Chen,

Yunbo Wang,

Mingsheng Long,

Jianmin Wang; [pdf]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Sinan and Chen, Xinyang and Wang, Yunbo and Long, Mingsheng and Wang, Jianmin},
title = {Progressive Adversarial Networks for Fine-Grained Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ActBERT: Learning Global-Local Video-Text Representations: Linchao Zhu,

Yi Yang; [pdf]
[bibtex]
@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Linchao and Yang, Yi},
title = {ActBERT: Learning Global-Local Video-Text Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Visually Explaining Variational Autoencoders: Wenqian Liu,

Runze Li,

Meng Zheng,

Srikrishna Karanam,

Ziyan Wu,

Bir Bhanu,

Richard J. Radke,

Octavia Camps; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Wenqian and Li, Runze and Zheng, Meng and Karanam, Srikrishna and Wu, Ziyan and Bhanu, Bir and Radke, Richard J. and Camps, Octavia},
title = {Towards Visually Explaining Variational Autoencoders},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CenterMask: Single Shot Instance Segmentation With Point Representation: Yuqing Wang,

Zhaoliang Xu,

Hao Shen,

Baoshan Cheng,

Lirong Yang; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Yuqing and Xu, Zhaoliang and Shen, Hao and Cheng, Baoshan and Yang, Lirong},
title = {CenterMask: Single Shot Instance Segmentation With Point Representation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation: Yanwei Pang,

Jing Nie,

Jin Xie,

Jungong Han,

Xuelong Li; [pdf]
[bibtex]
@InProceedings{Pang_2020_CVPR,
author = {Pang, Yanwei and Nie, Jing and Xie, Jin and Han, Jungong and Li, Xuelong},
title = {BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Learning From Video With Deep Neural Embeddings: Chengxu Zhuang,

Tianwei She,

Alex Andonian,

Max Sobol Mark,

Daniel Yamins; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhuang_2020_CVPR,
author = {Zhuang, Chengxu and She, Tianwei and Andonian, Alex and Mark, Max Sobol and Yamins, Daniel},
title = {Unsupervised Learning From Video With Deep Neural Embeddings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
One-Shot Domain Adaptation for Face Generation: Chao Yang,

Ser-Nam Lim; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2020_CVPR,
author = {Yang, Chao and Lim, Ser-Nam},
title = {One-Shot Domain Adaptation for Face Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Unified Optimization Framework for Low-Rank Inducing Penalties: Marcus Valtonen Ornhag,

Carl Olsson; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ornhag_2020_CVPR,
author = {Ornhag, Marcus Valtonen and Olsson, Carl},
title = {A Unified Optimization Framework for Low-Rank Inducing Penalties},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo: Jiayu Yang,

Wei Mao,

Jose M. Alvarez,

Miaomiao Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2020_CVPR,
author = {Yang, Jiayu and Mao, Wei and Alvarez, Jose M. and Liu, Miaomiao},
title = {Cost Volume Pyramid Based Depth Inference for Multi-View Stereo},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement: Ren Yang,

Fabian Mentzer,

Luc Van Gool,

Radu Timofte; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2020_CVPR,
author = {Yang, Ren and Mentzer, Fabian and Van Gool, Luc and Timofte, Radu},
title = {Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects: Denys Rozumnyi,

Jan Kotera,

Filip Sroubek,

Jiri Matas; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Rozumnyi_2020_CVPR,
author = {Rozumnyi, Denys and Kotera, Jan and Sroubek, Filip and Matas, Jiri},
title = {Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TetraTSDF: 3D Human Reconstruction From a Single Image With a Tetrahedral Outer Shell: Hayato Onizuka,

Zehra Hayirci,

Diego Thomas,

Akihiro Sugimoto,

Hideaki Uchiyama,

Rin-ichiro Taniguchi; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Onizuka_2020_CVPR,
author = {Onizuka, Hayato and Hayirci, Zehra and Thomas, Diego and Sugimoto, Akihiro and Uchiyama, Hideaki and Taniguchi, Rin-ichiro},
title = {TetraTSDF: 3D Human Reconstruction From a Single Image With a Tetrahedral Outer Shell},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching: Pengpeng Liu,

Irwin King,

Michael R. Lyu,

Jia Xu; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Pengpeng and King, Irwin and Lyu, Michael R. and Xu, Jia},
title = {Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation: Hao Tang,

Dan Xu,

Yan Yan,

Philip H.S. Torr,

Nicu Sebe; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Tang_2020_CVPR,
author = {Tang, Hao and Xu, Dan and Yan, Yan and Torr, Philip H.S. and Sebe, Nicu},
title = {Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fast Soft Color Segmentation: Naofumi Akimoto,

Huachun Zhu,

Yanghua Jin,

Yoshimitsu Aoki; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Akimoto_2020_CVPR,
author = {Akimoto, Naofumi and Zhu, Huachun and Jin, Yanghua and Aoki, Yoshimitsu},
title = {Fast Soft Color Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Partial Weight Adaptation for Robust DNN Inference: Xiufeng Xie,

Kyu-Han Kim; [pdf] [arXiv]
[bibtex]
@InProceedings{Xie_2020_CVPR,
author = {Xie, Xiufeng and Kim, Kyu-Han},
title = {Partial Weight Adaptation for Robust DNN Inference},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Facial Non-Rigid Multi-View Stereo: Ziqian Bai,

Zhaopeng Cui,

Jamal Ahmed Rahim,

Xiaoming Liu,

Ping Tan; [pdf] [supp]
[bibtex]
@InProceedings{Bai_2020_CVPR,
author = {Bai, Ziqian and Cui, Zhaopeng and Rahim, Jamal Ahmed and Liu, Xiaoming and Tan, Ping},
title = {Deep Facial Non-Rigid Multi-View Stereo},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Shutter Unrolling Network: Peidong Liu,

Zhaopeng Cui,

Viktor Larsson,

Marc Pollefeys; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Peidong and Cui, Zhaopeng and Larsson, Viktor and Pollefeys, Marc},
title = {Deep Shutter Unrolling Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation: Hao Chen,

Kunyang Sun,

Zhi Tian,

Chunhua Shen,

Yongming Huang,

Youliang Yan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Hao and Sun, Kunyang and Tian, Zhi and Shen, Chunhua and Huang, Yongming and Yan, Youliang},
title = {BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Learning Structure via Consensus for Face Segmentation and Parsing: Iacopo Masi,

Joe Mathai,

Wael AbdAlmageed; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Masi_2020_CVPR,
author = {Masi, Iacopo and Mathai, Joe and AbdAlmageed, Wael},
title = {Towards Learning Structure via Consensus for Face Segmentation and Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Pixel Consensus Voting for Panoptic Segmentation: Haochen Wang,

Ruotian Luo,

Michael Maire,

Greg Shakhnarovich; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Haochen and Luo, Ruotian and Maire, Michael and Shakhnarovich, Greg},
title = {Pixel Consensus Voting for Panoptic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis: Yiyi Liao,

Katja Schwarz,

Lars Mescheder,

Andreas Geiger; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Liao_2020_CVPR,
author = {Liao, Yiyi and Schwarz, Katja and Mescheder, Lars and Geiger, Andreas},
title = {Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition: Chih-Hui Ho,

Bo Liu,

Tz-Ying Wu,

Nuno Vasconcelos; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ho_2020_CVPR,
author = {Ho, Chih-Hui and Liu, Bo and Wu, Tz-Ying and Vasconcelos, Nuno},
title = {Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SampleNet: Differentiable Point Cloud Sampling: Itai Lang,

Asaf Manor,

Shai Avidan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lang_2020_CVPR,
author = {Lang, Itai and Manor, Asaf and Avidan, Shai},
title = {SampleNet: Differentiable Point Cloud Sampling},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Guided Variational Autoencoder for Disentanglement Learning: Zheng Ding,

Yifan Xu,

Weijian Xu,

Gaurav Parmar,

Yang Yang,

Max Welling,

Zhuowen Tu; [pdf] [arXiv]
[bibtex]
@InProceedings{Ding_2020_CVPR,
author = {Ding, Zheng and Xu, Yifan and Xu, Weijian and Parmar, Gaurav and Yang, Yang and Welling, Max and Tu, Zhuowen},
title = {Guided Variational Autoencoder for Disentanglement Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Online Deep Clustering for Unsupervised Representation Learning: Xiaohang Zhan,

Jiahao Xie,

Ziwei Liu,

Yew-Soon Ong,

Chen Change Loy; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhan_2020_CVPR,
author = {Zhan, Xiaohang and Xie, Jiahao and Liu, Ziwei and Ong, Yew-Soon and Loy, Chen Change},
title = {Online Deep Clustering for Unsupervised Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Disentangling Invertible Interpretation Network for Explaining Latent Representations: Patrick Esser,

Robin Rombach,

Bjorn Ommer; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Esser_2020_CVPR,
author = {Esser, Patrick and Rombach, Robin and Ommer, Bjorn},
title = {A Disentangling Invertible Interpretation Network for Explaining Latent Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SynSin: End-to-End View Synthesis From a Single Image: Olivia Wiles,

Georgia Gkioxari,

Richard Szeliski,

Justin Johnson; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wiles_2020_CVPR,
author = {Wiles, Olivia and Gkioxari, Georgia and Szeliski, Richard and Johnson, Justin},
title = {SynSin: End-to-End View Synthesis From a Single Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation: Bardia Doosti,

Shujon Naha,

Majid Mirbagheri,

David J. Crandall; [pdf]
[bibtex]
@InProceedings{Doosti_2020_CVPR,
author = {Doosti, Bardia and Naha, Shujon and Mirbagheri, Majid and Crandall, David J.},
title = {HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Auto-Tuning Structured Light by Optical Stochastic Gradient Descent: Wenzheng Chen,

Parsa Mirdehghan,

Sanja Fidler,

Kiriakos N. Kutulakos; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Wenzheng and Mirdehghan, Parsa and Fidler, Sanja and Kutulakos, Kiriakos N.},
title = {Auto-Tuning Structured Light by Optical Stochastic Gradient Descent},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map: Jameel Malik,

Ibrahim Abdelaziz,

Ahmed Elhayek,

Soshi Shimada,

Sk Aziz Ali,

Vladislav Golyanik,

Christian Theobalt,

Didier Stricker; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Malik_2020_CVPR,
author = {Malik, Jameel and Abdelaziz, Ibrahim and Elhayek, Ahmed and Shimada, Soshi and Ali, Sk Aziz and Golyanik, Vladislav and Theobalt, Christian and Stricker, Didier},
title = {HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep 3D Portrait From a Single Image: Sicheng Xu,

Jiaolong Yang,

Dong Chen,

Fang Wen,

Yu Deng,

Yunde Jia,

Xin Tong; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2020_CVPR,
author = {Xu, Sicheng and Yang, Jiaolong and Chen, Dong and Wen, Fang and Deng, Yu and Jia, Yunde and Tong, Xin},
title = {Deep 3D Portrait From a Single Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces: Muhammad Haris Khan,

John McDonagh,

Salman Khan,

Muhammad Shahabuddin,

Aditya Arora,

Fahad Shahbaz Khan,

Ling Shao,

Georgios Tzimiropoulos; [pdf] [arXiv] [dataset]
[bibtex]
@InProceedings{Khan_2020_CVPR,
author = {Khan, Muhammad Haris and McDonagh, John and Khan, Salman and Shahabuddin, Muhammad and Arora, Aditya and Khan, Fahad Shahbaz and Shao, Ling and Tzimiropoulos, Georgios},
title = {AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction: Francesco Marchetti,

Federico Becattini,

Lorenzo Seidenari,

Alberto Del Bimbo; [pdf] [arXiv]
[bibtex]
@InProceedings{Marchetti_2020_CVPR,
author = {Marchetti, Francesco and Becattini, Federico and Seidenari, Lorenzo and Del Bimbo, Alberto},
title = {MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Point Cloud Rendering via Multi-Plane Projection: Peng Dai,

Yinda Zhang,

Zhuwen Li,

Shuaicheng Liu,

Bing Zeng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dai_2020_CVPR,
author = {Dai, Peng and Zhang, Yinda and Li, Zhuwen and Liu, Shuaicheng and Zeng, Bing},
title = {Neural Point Cloud Rendering via Multi-Plane Projection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection: Yongri Piao,

Zhengkun Rong,

Miao Zhang,

Weisong Ren,

Huchuan Lu; [pdf] [video]
[bibtex]
@InProceedings{Piao_2020_CVPR,
author = {Piao, Yongri and Rong, Zhengkun and Zhang, Miao and Ren, Weisong and Lu, Huchuan},
title = {A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Continual Learning With Extended Kronecker-Factored Approximate Curvature: Janghyeon Lee,

Hyeong Gwon Hong,

Donggyu Joo,

Junmo Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2020_CVPR,
author = {Lee, Janghyeon and Hong, Hyeong Gwon and Joo, Donggyu and Kim, Junmo},
title = {Continual Learning With Extended Kronecker-Factored Approximate Curvature},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Domain Balancing: Face Recognition on Long-Tailed Domains: Dong Cao,

Xiangyu Zhu,

Xingyu Huang,

Jianzhu Guo,

Zhen Lei; [pdf] [arXiv]
[bibtex]
@InProceedings{Cao_2020_CVPR,
author = {Cao, Dong and Zhu, Xiangyu and Huang, Xingyu and Guo, Jianzhu and Lei, Zhen},
title = {Domain Balancing: Face Recognition on Long-Tailed Domains},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Pose Transfer by Spatially Adaptive Instance Normalization: Jiashun Wang,

Chao Wen,

Yanwei Fu,

Haitao Lin,

Tianyun Zou,

Xiangyang Xue,

Yinda Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Jiashun and Wen, Chao and Fu, Yanwei and Lin, Haitao and Zou, Tianyun and Xue, Xiangyang and Zhang, Yinda},
title = {Neural Pose Transfer by Spatially Adaptive Instance Normalization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RoutedFusion: Learning Real-Time Depth Map Fusion: Silvan Weder,

Johannes Schonberger,

Marc Pollefeys,

Martin R. Oswald; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Weder_2020_CVPR,
author = {Weder, Silvan and Schonberger, Johannes and Pollefeys, Marc and Oswald, Martin R.},
title = {RoutedFusion: Learning Real-Time Depth Map Fusion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Coherent Reconstruction of Multiple Humans From a Single Image: Wen Jiang,

Nikos Kolotouros,

Georgios Pavlakos,

Xiaowei Zhou,

Kostas Daniilidis; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Wen and Kolotouros, Nikos and Pavlakos, Georgios and Zhou, Xiaowei and Daniilidis, Kostas},
title = {Coherent Reconstruction of Multiple Humans From a Single Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
High-Performance Long-Term Tracking With Meta-Updater: Kenan Dai,

Yunhua Zhang,

Dong Wang,

Jianhua Li,

Huchuan Lu,

Xiaoyun Yang; [pdf] [arXiv]
[bibtex]
@InProceedings{Dai_2020_CVPR,
author = {Dai, Kenan and Zhang, Yunhua and Wang, Dong and Li, Jianhua and Lu, Huchuan and Yang, Xiaoyun},
title = {High-Performance Long-Term Tracking With Meta-Updater},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective: Muhammad Abdullah Jamal,

Matthew Brown,

Ming-Hsuan Yang,

Liqiang Wang,

Boqing Gong; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Jamal_2020_CVPR,
author = {Jamal, Muhammad Abdullah and Brown, Matthew and Yang, Ming-Hsuan and Wang, Liqiang and Gong, Boqing},
title = {Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Softmax Splatting for Video Frame Interpolation: Simon Niklaus,

Feng Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Niklaus_2020_CVPR,
author = {Niklaus, Simon and Liu, Feng},
title = {Softmax Splatting for Video Frame Interpolation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Domain Correspondence Learning for Exemplar-Based Image Translation: Pan Zhang,

Bo Zhang,

Dong Chen,

Lu Yuan,

Fang Wen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Pan and Zhang, Bo and Chen, Dong and Yuan, Lu and Wen, Fang},
title = {Cross-Domain Correspondence Learning for Exemplar-Based Image Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection: Zhihao Chen,

Lei Zhu,

Liang Wan,

Song Wang,

Wei Feng,

Pheng-Ann Heng; [pdf]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Zhihao and Zhu, Lei and Wan, Liang and Wang, Song and Feng, Wei and Heng, Pheng-Ann},
title = {A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution: Yong Guo,

Jian Chen,

Jingdong Wang,

Qi Chen,

Jiezhang Cao,

Zeshuai Deng,

Yanwu Xu,

Mingkui Tan; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Guo_2020_CVPR,
author = {Guo, Yong and Chen, Jian and Wang, Jingdong and Chen, Qi and Cao, Jiezhang and Deng, Zeshuai and Xu, Yanwu and Tan, Mingkui},
title = {Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ROAM: Recurrently Optimizing Tracking Model: Tianyu Yang,

Pengfei Xu,

Runbo Hu,

Hua Chai,

Antoni B. Chan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2020_CVPR,
author = {Yang, Tianyu and Xu, Pengfei and Hu, Runbo and Chai, Hua and Chan, Antoni B.},
title = {ROAM: Recurrently Optimizing Tracking Model},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Wavelet Integrated CNNs for Noise-Robust Image Classification: Qiufu Li,

Linlin Shen,

Sheng Guo,

Zhihui Lai; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Qiufu and Shen, Linlin and Guo, Sheng and Lai, Zhihui},
title = {Wavelet Integrated CNNs for Noise-Robust Image Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing: Vedika Agarwal,

Rakshith Shetty,

Mario Fritz; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Agarwal_2020_CVPR,
author = {Agarwal, Vedika and Shetty, Rakshith and Fritz, Mario},
title = {Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FReeNet: Multi-Identity Face Reenactment: Jiangning Zhang,

Xianfang Zeng,

Mengmeng Wang,

Yusu Pan,

Liang Liu,

Yong Liu,

Yu Ding,

Changjie Fan; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Jiangning and Zeng, Xianfang and Wang, Mengmeng and Pan, Yusu and Liu, Liang and Liu, Yong and Ding, Yu and Fan, Changjie},
title = {FReeNet: Multi-Identity Face Reenactment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Snake for Real-Time Instance Segmentation: Sida Peng,

Wen Jiang,

Huaijin Pi,

Xiuli Li,

Hujun Bao,

Xiaowei Zhou; [pdf] [arXiv]
[bibtex]
@InProceedings{Peng_2020_CVPR,
author = {Peng, Sida and Jiang, Wen and Pi, Huaijin and Li, Xiuli and Bao, Hujun and Zhou, Xiaowei},
title = {Deep Snake for Real-Time Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment: Po-Hsiang Huang,

Fu-En Yang,

Yu-Chiang Frank Wang; [pdf] [video]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Po-Hsiang and Yang, Fu-En and Wang, Yu-Chiang Frank},
title = {Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering: Hui Tang,

Ke Chen,

Kui Jia; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Tang_2020_CVPR,
author = {Tang, Hui and Chen, Ke and Jia, Kui},
title = {Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Augment Your Batch: Improving Generalization Through Instance Repetition: Elad Hoffer,

Tal Ben-Nun,

Itay Hubara,

Niv Giladi,

Torsten Hoefler,

Daniel Soudry; [pdf] [supp]
[bibtex]
@InProceedings{Hoffer_2020_CVPR,
author = {Hoffer, Elad and Ben-Nun, Tal and Hubara, Itay and Giladi, Niv and Hoefler, Torsten and Soudry, Daniel},
title = {Augment Your Batch: Improving Generalization Through Instance Repetition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation: Hyeongmin Lee,

Taeoh Kim,

Tae-young Chung,

Daehyun Pak,

Yuseok Ban,

Sangyoun Lee; [pdf] [arXiv]
[bibtex]
@InProceedings{Lee_2020_CVPR,
author = {Lee, Hyeongmin and Kim, Taeoh and Chung, Tae-young and Pak, Daehyun and Ban, Yuseok and Lee, Sangyoun},
title = {AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Blurry Video Frame Interpolation: Wang Shen,

Wenbo Bao,

Guangtao Zhai,

Li Chen,

Xiongkuo Min,

Zhiyong Gao; [pdf] [arXiv]
[bibtex]
@InProceedings{Shen_2020_CVPR,
author = {Shen, Wang and Bao, Wenbo and Zhai, Guangtao and Chen, Li and Min, Xiongkuo and Gao, Zhiyong},
title = {Blurry Video Frame Interpolation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Learning With Rectification Strategy for Human Parsing: Tao Li,

Zhiyuan Liang,

Sanyuan Zhao,

Jiahao Gong,

Jianbing Shen; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Tao and Liang, Zhiyuan and Zhao, Sanyuan and Gong, Jiahao and Shen, Jianbing},
title = {Self-Learning With Rectification Strategy for Human Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation: Bowen Cheng,

Bin Xiao,

Jingdong Wang,

Honghui Shi,

Thomas S. Huang,

Lei Zhang; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Bowen and Xiao, Bin and Wang, Jingdong and Shi, Honghui and Huang, Thomas S. and Zhang, Lei},
title = {HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CNN-Generated Images Are Surprisingly Easy to Spot... for Now: Sheng-Yu Wang,

Oliver Wang,

Richard Zhang,

Andrew Owens,

Alexei A. Efros; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Sheng-Yu and Wang, Oliver and Zhang, Richard and Owens, Andrew and Efros, Alexei A.},
title = {CNN-Generated Images Are Surprisingly Easy to Spot... for Now},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Determinant Regularization for Gradient-Efficient Graph Matching: Tianshu Yu,

Junchi Yan,

Baoxin Li; [pdf]
[bibtex]
@InProceedings{Yu_2020_CVPR,
author = {Yu, Tianshu and Yan, Junchi and Li, Baoxin},
title = {Determinant Regularization for Gradient-Efficient Graph Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction: Sadegh Aliakbarian,

Fatemeh Sadat Saleh,

Mathieu Salzmann,

Lars Petersson,

Stephen Gould; [pdf] [supp]
[bibtex]
@InProceedings{Aliakbarian_2020_CVPR,
author = {Aliakbarian, Sadegh and Saleh, Fatemeh Sadat and Salzmann, Mathieu and Petersson, Lars and Gould, Stephen},
title = {A Stochastic Conditioning Scheme for Diverse Human Motion Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Can Facial Pose and Expression Be Separated With Weak Perspective Camera?: Evangelos Sariyanidi,

Casey J. Zampella,

Robert T. Schultz,

Birkan Tunc; [pdf] [supp]
[bibtex]
@InProceedings{Sariyanidi_2020_CVPR,
author = {Sariyanidi, Evangelos and Zampella, Casey J. and Schultz, Robert T. and Tunc, Birkan},
title = {Can Facial Pose and Expression Be Separated With Weak Perspective Camera?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Probability Weighted Compact Feature for Domain Adaptive Retrieval: Fuxiang Huang,

Lei Zhang,

Yang Yang,

Xichuan Zhou; [pdf] [arXiv]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Fuxiang and Zhang, Lei and Yang, Yang and Zhou, Xichuan},
title = {Probability Weighted Compact Feature for Domain Adaptive Retrieval},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion: Adam Kortylewski,

Ju He,

Qing Liu,

Alan L. Yuille; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Kortylewski_2020_CVPR,
author = {Kortylewski, Adam and He, Ju and Liu, Qing and Yuille, Alan L.},
title = {Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses: Rongliang Wu,

Gongjie Zhang,

Shijian Lu,

Tao Chen; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2020_CVPR,
author = {Wu, Rongliang and Zhang, Gongjie and Lu, Shijian and Chen, Tao},
title = {Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TPNet: Trajectory Proposal Network for Motion Prediction: Liangji Fang,

Qinhong Jiang,

Jianping Shi,

Bolei Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fang_2020_CVPR,
author = {Fang, Liangji and Jiang, Qinhong and Shi, Jianping and Zhou, Bolei},
title = {TPNet: Trajectory Proposal Network for Motion Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Part-Aware Context Network for Human Parsing: Xiaomei Zhang,

Yingying Chen,

Bingke Zhu,

Jinqiao Wang,

Ming Tang; [pdf]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Xiaomei and Chen, Yingying and Zhu, Bingke and Wang, Jinqiao and Tang, Ming},
title = {Part-Aware Context Network for Human Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination: Pratul P. Srinivasan,

Ben Mildenhall,

Matthew Tancik,

Jonathan T. Barron,

Richard Tucker,

Noah Snavely; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Srinivasan_2020_CVPR,
author = {Srinivasan, Pratul P. and Mildenhall, Ben and Tancik, Matthew and Barron, Jonathan T. and Tucker, Richard and Snavely, Noah},
title = {Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Joint Texture and Geometry Optimization for RGB-D Reconstruction: Yanping Fu,

Qingan Yan,

Jie Liao,

Chunxia Xiao; [pdf] [supp]
[bibtex]
@InProceedings{Fu_2020_CVPR,
author = {Fu, Yanping and Yan, Qingan and Liao, Jie and Xiao, Chunxia},
title = {Joint Texture and Geometry Optimization for RGB-D Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition: Shaoteng Liu,

Jingjing Chen,

Liangming Pan,

Chong-Wah Ngo,

Tat-Seng Chua,

Yu-Gang Jiang; [pdf]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Shaoteng and Chen, Jingjing and Pan, Liangming and Ngo, Chong-Wah and Chua, Tat-Seng and Jiang, Yu-Gang},
title = {Hyperbolic Visual Embedding Learning for Zero-Shot Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
LSM: Learning Subspace Minimization for Low-Level Vision: Chengzhou Tang,

Lu Yuan,

Ping Tan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2020_CVPR,
author = {Tang, Chengzhou and Yuan, Lu and Tan, Ping},
title = {LSM: Learning Subspace Minimization for Low-Level Vision},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization: Jinjie Mai,

Meng Yang,

Wenfeng Luo; [pdf] [video]
[bibtex]
@InProceedings{Mai_2020_CVPR,
author = {Mai, Jinjie and Yang, Meng and Luo, Wenfeng},
title = {Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Deep Visual Odometry With Online Adaptation: Shunkai Li,

Xin Wang,

Yingdian Cao,

Fei Xue,

Zike Yan,

Hongbin Zha; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Shunkai and Wang, Xin and Cao, Yingdian and Xue, Fei and Yan, Zike and Zha, Hongbin},
title = {Self-Supervised Deep Visual Odometry With Online Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Weakly-Supervised Semantic Segmentation via Sub-Category Exploration: Yu-Ting Chang,

Qiaosong Wang,

Wei-Chih Hung,

Robinson Piramuthu,

Yi-Hsuan Tsai,

Ming-Hsuan Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chang_2020_CVPR,
author = {Chang, Yu-Ting and Wang, Qiaosong and Hung, Wei-Chih and Piramuthu, Robinson and Tsai, Yi-Hsuan and Yang, Ming-Hsuan},
title = {Weakly-Supervised Semantic Segmentation via Sub-Category Exploration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Normalizing Flows With Multi-Scale Autoregressive Priors: Apratim Bhattacharyya,

Shweta Mahajan,

Mario Fritz,

Bernt Schiele,

Stefan Roth; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bhattacharyya_2020_CVPR,
author = {Bhattacharyya, Apratim and Mahajan, Shweta and Fritz, Mario and Schiele, Bernt and Roth, Stefan},
title = {Normalizing Flows With Multi-Scale Autoregressive Priors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Neural Relational Inference: Colin Graber,

Alexander G. Schwing; [pdf] [supp]
[bibtex]
@InProceedings{Graber_2020_CVPR,
author = {Graber, Colin and Schwing, Alexander G.},
title = {Dynamic Neural Relational Inference},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning: Byungsoo Ko,

Geonmo Gu; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Ko_2020_CVPR,
author = {Ko, Byungsoo and Gu, Geonmo},
title = {Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation: Shuxin Wang,

Shilei Cao,

Dong Wei,

Renzhen Wang,

Kai Ma,

Liansheng Wang,

Deyu Meng,

Yefeng Zheng; [pdf] [supp] [video]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Shuxin and Cao, Shilei and Wei, Dong and Wang, Renzhen and Ma, Kai and Wang, Liansheng and Meng, Deyu and Zheng, Yefeng},
title = {LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Transferring Dense Pose to Proximal Animal Classes: Artsiom Sanakoyeu,

Vasil Khalidov,

Maureen S. McCarthy,

Andrea Vedaldi,

Natalia Neverova; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sanakoyeu_2020_CVPR,
author = {Sanakoyeu, Artsiom and Khalidov, Vasil and McCarthy, Maureen S. and Vedaldi, Andrea and Neverova, Natalia},
title = {Transferring Dense Pose to Proximal Animal Classes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Suppressing Uncertainties for Large-Scale Facial Expression Recognition: Kai Wang,

Xiaojiang Peng,

Jianfei Yang,

Shijian Lu,

Yu Qiao; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Kai and Peng, Xiaojiang and Yang, Jianfei and Lu, Shijian and Qiao, Yu},
title = {Suppressing Uncertainties for Large-Scale Facial Expression Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Scale-Space Flow for End-to-End Optimized Video Compression: Eirikur Agustsson,

David Minnen,

Nick Johnston,

Johannes Balle,

Sung Jin Hwang,

George Toderici; [pdf] [supp]
[bibtex]
@InProceedings{Agustsson_2020_CVPR,
author = {Agustsson, Eirikur and Minnen, David and Johnston, Nick and Balle, Johannes and Hwang, Sung Jin and Toderici, George},
title = {Scale-Space Flow for End-to-End Optimized Video Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images: Ayush Tewari,

Mohamed Elgharib,

Gaurav Bharaj,

Florian Bernard,

Hans-Peter Seidel,

Patrick Perez,

Michael Zollhofer,

Christian Theobalt; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tewari_2020_CVPR,
author = {Tewari, Ayush and Elgharib, Mohamed and Bharaj, Gaurav and Bernard, Florian and Seidel, Hans-Peter and Perez, Patrick and Zollhofer, Michael and Theobalt, Christian},
title = {StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Semantic Pyramid for Image Generation: Assaf Shocher,

Yossi Gandelsman,

Inbar Mosseri,

Michal Yarom,

Michal Irani,

William T. Freeman,

Tali Dekel; [pdf] [arXiv]
[bibtex]
@InProceedings{Shocher_2020_CVPR,
author = {Shocher, Assaf and Gandelsman, Yossi and Mosseri, Inbar and Yarom, Michal and Irani, Michal and Freeman, William T. and Dekel, Tali},
title = {Semantic Pyramid for Image Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Backward-Compatible Representation Learning: Yantao Shen,

Yuanjun Xiong,

Wei Xia,

Stefano Soatto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shen_2020_CVPR,
author = {Shen, Yantao and Xiong, Yuanjun and Xia, Wei and Soatto, Stefano},
title = {Towards Backward-Compatible Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition: Yaobin Zhang,

Weihong Deng,

Mei Wang,

Jiani Hu,

Xian Li,

Dongyue Zhao,

Dongchao Wen; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yaobin and Deng, Weihong and Wang, Mei and Hu, Jiani and Li, Xian and Zhao, Dongyue and Wen, Dongchao},
title = {Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection: Kaihua Zhang,

Tengpeng Li,

Shiwen Shen,

Bo Liu,

Jin Chen,

Qingshan Liu; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Kaihua and Li, Tengpeng and Shen, Shiwen and Liu, Bo and Chen, Jin and Liu, Qingshan},
title = {Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
UniPose: Unified Human Pose Estimation in Single Images and Videos: Bruno Artacho,

Andreas Savakis; [pdf] [arXiv]
[bibtex]
@InProceedings{Artacho_2020_CVPR,
author = {Artacho, Bruno and Savakis, Andreas},
title = {UniPose: Unified Human Pose Estimation in Single Images and Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera: Jae Shin Yoon,

Kihwan Kim,

Orazio Gallo,

Hyun Soo Park,

Jan Kautz; [pdf] [supp] [arXiv] [video] [dataset]
[bibtex]
@InProceedings{Yoon_2020_CVPR,
author = {Yoon, Jae Shin and Kim, Kihwan and Gallo, Orazio and Park, Hyun Soo and Kautz, Jan},
title = {Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cogradient Descent for Bilinear Optimization: Li'an Zhuo,

Baochang Zhang,

Linlin Yang,

Hanlin Chen,

Qixiang Ye,

David Doermann,

Rongrong Ji,

Guodong Guo; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhuo_2020_CVPR,
author = {Zhuo, Li'an and Zhang, Baochang and Yang, Linlin and Chen, Hanlin and Ye, Qixiang and Doermann, David and Ji, Rongrong and Guo, Guodong},
title = {Cogradient Descent for Bilinear Optimization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AdversarialNAS: Adversarial Neural Architecture Search for GANs: Chen Gao,

Yunpeng Chen,

Si Liu,

Zhenxiong Tan,

Shuicheng Yan; [pdf] [arXiv]
[bibtex]
@InProceedings{Gao_2020_CVPR,
author = {Gao, Chen and Chen, Yunpeng and Liu, Si and Tan, Zhenxiong and Yan, Shuicheng},
title = {AdversarialNAS: Adversarial Neural Architecture Search for GANs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems: Patrick Knobelreiter,

Christian Sormann,

Alexander Shekhovtsov,

Friedrich Fraundorfer,

Thomas Pock; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Knobelreiter_2020_CVPR,
author = {Knobelreiter, Patrick and Sormann, Christian and Shekhovtsov, Alexander and Fraundorfer, Friedrich and Pock, Thomas},
title = {Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DoveNet: Deep Image Harmonization via Domain Verification: Wenyan Cong,

Jianfu Zhang,

Li Niu,

Liu Liu,

Zhixin Ling,

Weiyuan Li,

Liqing Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cong_2020_CVPR,
author = {Cong, Wenyan and Zhang, Jianfu and Niu, Li and Liu, Liu and Ling, Zhixin and Li, Weiyuan and Zhang, Liqing},
title = {DoveNet: Deep Image Harmonization via Domain Verification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis: Jogendra Nath Kundu,

Siddharth Seth,

Varun Jampani,

Mugalodi Rakesh,

R. Venkatesh Babu,

Anirban Chakraborty; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Kundu_2020_CVPR,
author = {Kundu, Jogendra Nath and Seth, Siddharth and Jampani, Varun and Rakesh, Mugalodi and Babu, R. Venkatesh and Chakraborty, Anirban},
title = {Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos: Tomas Jakab,

Ankush Gupta,

Hakan Bilen,

Andrea Vedaldi; [pdf] [supp]
[bibtex]
@InProceedings{Jakab_2020_CVPR,
author = {Jakab, Tomas and Gupta, Ankush and Bilen, Hakan and Vedaldi, Andrea},
title = {Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distribution-Aware Coordinate Representation for Human Pose Estimation: Feng Zhang,

Xiatian Zhu,

Hanbin Dai,

Mao Ye,

Ce Zhu; [pdf]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Feng and Zhu, Xiatian and Dai, Hanbin and Ye, Mao and Zhu, Ce},
title = {Distribution-Aware Coordinate Representation for Human Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction: Ruixu Liu,

Ju Shen,

He Wang,

Chen Chen,

Sen-ching Cheung,

Vijayan Asari; [pdf] [video]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Ruixu and Shen, Ju and Wang, He and Chen, Chen and Cheung, Sen-ching and Asari, Vijayan},
title = {Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask: Shengyu Zhao,

Yilun Sheng,

Yue Dong,

Eric I-Chao Chang,

Yan Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Shengyu and Sheng, Yilun and Dong, Yue and Chang, Eric I-Chao and Xu, Yan},
title = {MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3FabRec: Fast Few-Shot Face Alignment by Reconstruction: Bjorn Browatzki,

Christian Wallraven; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Browatzki_2020_CVPR,
author = {Browatzki, Bjorn and Wallraven, Christian},
title = {3FabRec: Fast Few-Shot Face Alignment by Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction: Zhenyu Xu,

Yiguang Liu,

Xuelei Shi,

Ying Wang,

Yunan Zheng; [pdf] [video]
[bibtex]
@InProceedings{Xu_2020_CVPR,
author = {Xu, Zhenyu and Liu, Yiguang and Shi, Xuelei and Wang, Ying and Zheng, Yunan},
title = {MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data: Henry M. Clever,

Zackory Erickson,

Ariel Kapusta,

Greg Turk,

Karen Liu,

Charles C. Kemp; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Clever_2020_CVPR,
author = {Clever, Henry M. and Erickson, Zackory and Kapusta, Ariel and Turk, Greg and Liu, Karen and Kemp, Charles C.},
title = {Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks: Sungha Choi,

Joanne T. Kim,

Jaegul Choo; [pdf] [supp] [video]
[bibtex]
@InProceedings{Choi_2020_CVPR,
author = {Choi, Sungha and Kim, Joanne T. and Choo, Jaegul},
title = {Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation: Matteo Fabbri,

Fabio Lanzi,

Simone Calderara,

Stefano Alletto,

Rita Cucchiara; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fabbri_2020_CVPR,
author = {Fabbri, Matteo and Lanzi, Fabio and Calderara, Simone and Alletto, Stefano and Cucchiara, Rita},
title = {Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation: Francis Engelmann,

Martin Bokeloh,

Alireza Fathi,

Bastian Leibe,

Matthias Niessner; [pdf] [supp]
[bibtex]
@InProceedings{Engelmann_2020_CVPR,
author = {Engelmann, Francis and Bokeloh, Martin and Fathi, Alireza and Leibe, Bastian and Niessner, Matthias},
title = {3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Domain Adaptive Image-to-Image Translation: Ying-Cong Chen,

Xiaogang Xu,

Jiaya Jia; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Ying-Cong and Xu, Xiaogang and Jia, Jiaya},
title = {Domain Adaptive Image-to-Image Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning: Yuan Yao,

Chang Liu,

Dezhao Luo,

Yu Zhou,

Qixiang Ye; [pdf] [video]
[bibtex]
@InProceedings{Yao_2020_CVPR,
author = {Yao, Yuan and Liu, Chang and Luo, Dezhao and Zhou, Yu and Ye, Qixiang},
title = {Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Warping Residual Based Image Stitching for Large Parallax: Kyu-Yul Lee,

Jae-Young Sim; [pdf]
[bibtex]
@InProceedings{Lee_2020_CVPR,
author = {Lee, Kyu-Yul and Sim, Jae-Young},
title = {Warping Residual Based Image Stitching for Large Parallax},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences: Prune Truong,

Martin Danelljan,

Radu Timofte; [pdf] [supp]
[bibtex]
@InProceedings{Truong_2020_CVPR,
author = {Truong, Prune and Danelljan, Martin and Timofte, Radu},
title = {GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis: Cheng Peng,

Wei-An Lin,

Haofu Liao,

Rama Chellappa,

S. Kevin Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Peng_2020_CVPR,
author = {Peng, Cheng and Lin, Wei-An and Liao, Haofu and Chellappa, Rama and Zhou, S. Kevin},
title = {SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
StarGAN v2: Diverse Image Synthesis for Multiple Domains: Yunjey Choi,

Youngjung Uh,

Jaejun Yoo,

Jung-Woo Ha; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Choi_2020_CVPR,
author = {Choi, Yunjey and Uh, Youngjung and Yoo, Jaejun and Ha, Jung-Woo},
title = {StarGAN v2: Diverse Image Synthesis for Multiple Domains},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Local Deep Implicit Functions for 3D Shape: Kyle Genova,

Forrester Cole,

Avneesh Sud,

Aaron Sarna,

Thomas Funkhouser; [pdf] [arXiv]
[bibtex]
@InProceedings{Genova_2020_CVPR,
author = {Genova, Kyle and Cole, Forrester and Sud, Avneesh and Sarna, Aaron and Funkhouser, Thomas},
title = {Local Deep Implicit Functions for 3D Shape},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects: Seungryul Baek,

Kwang In Kim,

Tae-Kyun Kim; [pdf] [supp] [video]
[bibtex]
@InProceedings{Baek_2020_CVPR,
author = {Baek, Seungryul and Kim, Kwang In and Kim, Tae-Kyun},
title = {Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Global Texture Enhancement for Fake Face Detection in the Wild: Zhengzhe Liu,

Xiaojuan Qi,

Philip H.S. Torr; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Zhengzhe and Qi, Xiaojuan and Torr, Philip H.S.},
title = {Global Texture Enhancement for Fake Face Detection in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds: Albert Pumarola,

Stefan Popov,

Francesc Moreno-Noguer,

Vittorio Ferrari; [pdf]
[bibtex]
@InProceedings{Pumarola_2020_CVPR,
author = {Pumarola, Albert and Popov, Stefan and Moreno-Noguer, Francesc and Ferrari, Vittorio},
title = {C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hyperbolic Image Embeddings: Valentin Khrulkov,

Leyla Mirvakhabova,

Evgeniya Ustinova,

Ivan Oseledets,

Victor Lempitsky; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Khrulkov_2020_CVPR,
author = {Khrulkov, Valentin and Mirvakhabova, Leyla and Ustinova, Evgeniya and Oseledets, Ivan and Lempitsky, Victor},
title = {Hyperbolic Image Embeddings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Nested Scale-Editing for Conditional Image Synthesis: Lingzhi Zhang,

Jiancong Wang,

Yinshuang Xu,

Jie Min,

Tarmily Wen,

James C. Gee,

Jianbo Shi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Lingzhi and Wang, Jiancong and Xu, Yinshuang and Min, Jie and Wen, Tarmily and Gee, James C. and Shi, Jianbo},
title = {Nested Scale-Editing for Conditional Image Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking: Peiliang Li,

Jieqi Shi,

Shaojie Shen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Peiliang and Shi, Jieqi and Shen, Shaojie},
title = {Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation: Runfa Chen,

Wenbing Huang,

Binghui Huang,

Fuchun Sun,

Bin Fang; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Runfa and Huang, Wenbing and Huang, Binghui and Sun, Fuchun and Fang, Bin},
title = {Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Representations by Predicting Bags of Visual Words: Spyros Gidaris,

Andrei Bursuc,

Nikos Komodakis,

Patrick Perez,

Matthieu Cord; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gidaris_2020_CVPR,
author = {Gidaris, Spyros and Bursuc, Andrei and Komodakis, Nikos and Perez, Patrick and Cord, Matthieu},
title = {Learning Representations by Predicting Bags of Visual Words},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds: Yongming Rao,

Jiwen Lu,

Jie Zhou; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Rao_2020_CVPR,
author = {Rao, Yongming and Lu, Jiwen and Zhou, Jie},
title = {Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge: Long Zhao,

Xi Peng,

Yuxiao Chen,

Mubbasir Kapadia,

Dimitris N. Metaxas; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Long and Peng, Xi and Chen, Yuxiao and Kapadia, Mubbasir and Metaxas, Dimitris N.},
title = {Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Large Scale Video Representation Learning via Relational Graph Clustering: Hyodong Lee,

Joonseok Lee,

Joe Yue-Hei Ng,

Paul Natsev; [pdf]
[bibtex]
@InProceedings{Lee_2020_CVPR,
author = {Lee, Hyodong and Lee, Joonseok and Ng, Joe Yue-Hei and Natsev, Paul},
title = {Large Scale Video Representation Learning via Relational Graph Clustering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ASLFeat: Learning Local Features of Accurate Shape and Localization: Zixin Luo,

Lei Zhou,

Xuyang Bai,

Hongkai Chen,

Jiahui Zhang,

Yao Yao,

Shiwei Li,

Tian Fang,

Long Quan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Luo_2020_CVPR,
author = {Luo, Zixin and Zhou, Lei and Bai, Xuyang and Chen, Hongkai and Zhang, Jiahui and Yao, Yao and Li, Shiwei and Fang, Tian and Quan, Long},
title = {ASLFeat: Learning Local Features of Accurate Shape and Localization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Video Super-Resolution With Temporal Group Attention: Takashi Isobe,

Songjiang Li,

Xu Jia,

Shanxin Yuan,

Gregory Slabaugh,

Chunjing Xu,

Ya-Li Li,

Shengjin Wang,

Qi Tian; [pdf] [arXiv]
[bibtex]
@InProceedings{Isobe_2020_CVPR,
author = {Isobe, Takashi and Li, Songjiang and Jia, Xu and Yuan, Shanxin and Slabaugh, Gregory and Xu, Chunjing and Li, Ya-Li and Wang, Shengjin and Tian, Qi},
title = {Video Super-Resolution With Temporal Group Attention},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style: Chaitanya Patel,

Zhouyingcheng Liao,

Gerard Pons-Moll; [pdf] [supp] [video]
[bibtex]
@InProceedings{Patel_2020_CVPR,
author = {Patel, Chaitanya and Liao, Zhouyingcheng and Pons-Moll, Gerard},
title = {TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition: Yuge Huang,

Yuhan Wang,

Ying Tai,

Xiaoming Liu,

Pengcheng Shen,

Shaoxin Li,

Jilin Li,

Feiyue Huang; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Yuge and Wang, Yuhan and Tai, Ying and Liu, Xiaoming and Shen, Pengcheng and Li, Shaoxin and Li, Jilin and Huang, Feiyue},
title = {CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On the Detection of Digital Face Manipulation: Hao Dang,

Feng Liu,

Joel Stehouwer,

Xiaoming Liu,

Anil K. Jain; [pdf] [arXiv]
[bibtex]
@InProceedings{Dang_2020_CVPR,
author = {Dang, Hao and Liu, Feng and Stehouwer, Joel and Liu, Xiaoming and Jain, Anil K.},
title = {On the Detection of Digital Face Manipulation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt: Hangyu Lin,

Yanwei Fu,

Xiangyang Xue,

Yu-Gang Jiang; [pdf] [supp] [video]
[bibtex]
@InProceedings{Lin_2020_CVPR,
author = {Lin, Hangyu and Fu, Yanwei and Xue, Xiangyang and Jiang, Yu-Gang},
title = {Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Decoupled Representation Learning for Skeleton-Based Gesture Recognition: Jianbo Liu,

Yongcheng Liu,

Ying Wang,

Veronique Prinet,

Shiming Xiang,

Chunhong Pan; [pdf]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Jianbo and Liu, Yongcheng and Wang, Ying and Prinet, Veronique and Xiang, Shiming and Pan, Chunhong},
title = {Decoupled Representation Learning for Skeleton-Based Gesture Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Analyzing and Improving the Image Quality of StyleGAN: Tero Karras,

Samuli Laine,

Miika Aittala,

Janne Hellsten,

Jaakko Lehtinen,

Timo Aila; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Karras_2020_CVPR,
author = {Karras, Tero and Laine, Samuli and Aittala, Miika and Hellsten, Janne and Lehtinen, Jaakko and Aila, Timo},
title = {Analyzing and Improving the Image Quality of StyleGAN},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Dress 3D People in Generative Clothing: Qianli Ma,

Jinlong Yang,

Anurag Ranjan,

Sergi Pujades,

Gerard Pons-Moll,

Siyu Tang,

Michael J. Black; [pdf] [supp] [arXiv] [dataset]
[bibtex]
@InProceedings{Ma_2020_CVPR,
author = {Ma, Qianli and Yang, Jinlong and Ranjan, Anurag and Pujades, Sergi and Pons-Moll, Gerard and Tang, Siyu and Black, Michael J.},
title = {Learning to Dress 3D People in Generative Clothing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Modal Pattern-Propagation for RGB-T Tracking: Chaoqun Wang,

Chunyan Xu,

Zhen Cui,

Ling Zhou,

Tong Zhang,

Xiaoya Zhang,

Jian Yang; [pdf]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Chaoqun and Xu, Chunyan and Cui, Zhen and Zhou, Ling and Zhang, Tong and Zhang, Xiaoya and Yang, Jian},
title = {Cross-Modal Pattern-Propagation for RGB-T Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution: Xibin Song,

Yuchao Dai,

Dingfu Zhou,

Liu Liu,

Wei Li,

Hongdong Li,

Ruigang Yang; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Song_2020_CVPR,
author = {Song, Xibin and Dai, Yuchao and Zhou, Dingfu and Liu, Liu and Li, Wei and Li, Hongdong and Yang, Ruigang},
title = {Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Averaging Essential and Fundamental Matrices in Collinear Camera Settings: Amnon Geifman,

Yoni Kasten,

Meirav Galun,

Ronen Basri; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Geifman_2020_CVPR,
author = {Geifman, Amnon and Kasten, Yoni and Galun, Meirav and Basri, Ronen},
title = {Averaging Essential and Fundamental Matrices in Collinear Camera Settings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing: Zezheng Wang,

Zitong Yu,

Chenxu Zhao,

Xiangyu Zhu,

Yunxiao Qin,

Qiusheng Zhou,

Feng Zhou,

Zhen Lei; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Zezheng and Yu, Zitong and Zhao, Chenxu and Zhu, Xiangyu and Qin, Yunxiao and Zhou, Qiusheng and Zhou, Feng and Lei, Zhen},
title = {Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Instance-Aware Image Colorization: Jheng-Wei Su,

Hung-Kuo Chu,

Jia-Bin Huang; [pdf] [arXiv]
[bibtex]
@InProceedings{Su_2020_CVPR,
author = {Su, Jheng-Wei and Chu, Hung-Kuo and Huang, Jia-Bin},
title = {Instance-Aware Image Colorization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction: Wenbin Zhu,

HsiangTao Wu,

Zeyu Chen,

Noranart Vesdapunt,

Baoyuan Wang; [pdf]
[bibtex]
@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Wenbin and Wu, HsiangTao and Chen, Zeyu and Vesdapunt, Noranart and Wang, Baoyuan},
title = {ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution: Weibin Wu,

Yuxin Su,

Xixian Chen,

Shenglin Zhao,

Irwin King,

Michael R. Lyu,

Yu-Wing Tai; [pdf] [supp] [video]
[bibtex]
@InProceedings{Wu_2020_CVPR,
author = {Wu, Weibin and Su, Yuxin and Chen, Xixian and Zhao, Shenglin and King, Irwin and Lyu, Michael R. and Tai, Yu-Wing},
title = {Towards Global Explanations of Convolutional Neural Networks With Concept Attribution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning: Guoqing Wang,

Hu Han,

Shiguang Shan,

Xilin Chen; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Guoqing and Han, Hu and Shan, Shiguang and Chen, Xilin},
title = {Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Time Flies: Animating a Still Image With Time-Lapse Video As Reference: Chia-Chi Cheng,

Hung-Yu Chen,

Wei-Chen Chiu; [pdf]
[bibtex]
@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Chia-Chi and Chen, Hung-Yu and Chiu, Wei-Chen},
title = {Time Flies: Animating a Still Image With Time-Lapse Video As Reference},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation: Abdallah Benzine,

Florian Chabot,

Bertrand Luvison,

Quoc Cuong Pham,

Catherine Achard; [pdf] [supp]
[bibtex]
@InProceedings{Benzine_2020_CVPR,
author = {Benzine, Abdallah and Chabot, Florian and Luvison, Bertrand and Pham, Quoc Cuong and Achard, Catherine},
title = {PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Modeling the Background for Incremental Learning in Semantic Segmentation: Fabio Cermelli,

Massimiliano Mancini,

Samuel Rota Bulo,

Elisa Ricci,

Barbara Caputo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cermelli_2020_CVPR,
author = {Cermelli, Fabio and Mancini, Massimiliano and Bulo, Samuel Rota and Ricci, Elisa and Caputo, Barbara},
title = {Modeling the Background for Incremental Learning in Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation: Konstantin Sofiiuk,

Ilia Petrov,

Olga Barinova,

Anton Konushin; [pdf] [supp]
[bibtex]
@InProceedings{Sofiiuk_2020_CVPR,
author = {Sofiiuk, Konstantin and Petrov, Ilia and Barinova, Olga and Konushin, Anton},
title = {F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics: Simon Jenni,

Hailin Jin,

Paolo Favaro; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jenni_2020_CVPR,
author = {Jenni, Simon and Jin, Hailin and Favaro, Paolo},
title = {Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild: Dominik Kulon,

Riza Alp Guler,

Iasonas Kokkinos,

Michael M. Bronstein,

Stefanos Zafeiriou; [pdf] [arXiv]
[bibtex]
@InProceedings{Kulon_2020_CVPR,
author = {Kulon, Dominik and Guler, Riza Alp and Kokkinos, Iasonas and Bronstein, Michael M. and Zafeiriou, Stefanos},
title = {Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task: Aritra Bhowmik,

Stefan Gumhold,

Carsten Rother,

Eric Brachmann; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Bhowmik_2020_CVPR,
author = {Bhowmik, Aritra and Gumhold, Stefan and Rother, Carsten and Brachmann, Eric},
title = {Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours: VSR Veeravasarapu,

Abhishek Goel,

Deepak Mittal,

Maneesh Singh; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Veeravasarapu_2020_CVPR,
author = {Veeravasarapu, VSR and Goel, Abhishek and Mittal, Deepak and Singh, Maneesh},
title = {ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attentive Normalization for Conditional Image Generation: Yi Wang,

Ying-Cong Chen,

Xiangyu Zhang,

Jian Sun,

Jiaya Jia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Yi and Chen, Ying-Cong and Zhang, Xiangyu and Sun, Jian and Jia, Jiaya},
title = {Attentive Normalization for Conditional Image Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation: Liang Liu,

Jiangning Zhang,

Ruifei He,

Yong Liu,

Yabiao Wang,

Ying Tai,

Donghao Luo,

Chengjie Wang,

Jilin Li,

Feiyue Huang; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Liang and Zhang, Jiangning and He, Ruifei and Liu, Yong and Wang, Yabiao and Tai, Ying and Luo, Donghao and Wang, Chengjie and Li, Jilin and Huang, Feiyue},
title = {Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet: Wang Zhao,

Shaohui Liu,

Yezhi Shu,

Yong-Jin Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Wang and Liu, Shaohui and Shu, Yezhi and Liu, Yong-Jin},
title = {Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Quasi-Newton Solver for Robust Non-Rigid Registration: Yuxin Yao,

Bailin Deng,

Weiwei Xu,

Juyong Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yao_2020_CVPR,
author = {Yao, Yuxin and Deng, Bailin and Xu, Weiwei and Zhang, Juyong},
title = {Quasi-Newton Solver for Robust Non-Rigid Registration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Scale Progressive Fusion Network for Single Image Deraining: Kui Jiang,

Zhongyuan Wang,

Peng Yi,

Chen Chen,

Baojin Huang,

Yimin Luo,

Jiayi Ma,

Junjun Jiang; [pdf] [arXiv]
[bibtex]
@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Kui and Wang, Zhongyuan and Yi, Peng and Chen, Chen and Huang, Baojin and Luo, Yimin and Ma, Jiayi and Jiang, Junjun},
title = {Multi-Scale Progressive Fusion Network for Single Image Deraining},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Three-Dimensional Reconstruction of Human Interactions: Mihai Fieraru,

Mihai Zanfir,

Elisabeta Oneata,

Alin-Ionut Popa,

Vlad Olaru,

Cristian Sminchisescu; [pdf] [supp]
[bibtex]
@InProceedings{Fieraru_2020_CVPR,
author = {Fieraru, Mihai and Zanfir, Mihai and Oneata, Elisabeta and Popa, Alin-Ionut and Olaru, Vlad and Sminchisescu, Cristian},
title = {Three-Dimensional Reconstruction of Human Interactions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Real-Time Panoptic Segmentation From Dense Detections: Rui Hou,

Jie Li,

Arjun Bhargava,

Allan Raventos,

Vitor Guizilini,

Chao Fang,

Jerome Lynch,

Adrien Gaidon; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hou_2020_CVPR,
author = {Hou, Rui and Li, Jie and Bhargava, Arjun and Raventos, Allan and Guizilini, Vitor and Fang, Chao and Lynch, Jerome and Gaidon, Adrien},
title = {Real-Time Panoptic Segmentation From Dense Detections},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
NestedVAE: Isolating Common Factors via Weak Supervision: Matthew J. Vowels,

Necati Cihan Camgoz,

Richard Bowden; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Vowels_2020_CVPR,
author = {Vowels, Matthew J. and Camgoz, Necati Cihan and Bowden, Richard},
title = {NestedVAE: Isolating Common Factors via Weak Supervision},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Recurrent Feature Reasoning for Image Inpainting: Jingyuan Li,

Ning Wang,

Lefei Zhang,

Bo Du,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Jingyuan and Wang, Ning and Zhang, Lefei and Du, Bo and Tao, Dacheng},
title = {Recurrent Feature Reasoning for Image Inpainting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Harmonizing Transferability and Discriminability for Adapting Object Detectors: Chaoqi Chen,

Zebiao Zheng,

Xinghao Ding,

Yue Huang,

Qi Dou; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Chaoqi and Zheng, Zebiao and Ding, Xinghao and Huang, Yue and Dou, Qi},
title = {Harmonizing Transferability and Discriminability for Adapting Object Detectors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Magnification of Posture Deviations Across Subjects: Michael Dorkenwald,

Uta Buchler,

Bjorn Ommer; [pdf] [supp]
[bibtex]
@InProceedings{Dorkenwald_2020_CVPR,
author = {Dorkenwald, Michael and Buchler, Uta and Ommer, Bjorn},
title = {Unsupervised Magnification of Posture Deviations Across Subjects},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PADS: Policy-Adapted Sampling for Visual Similarity Learning: Karsten Roth,

Timo Milbich,

Bjorn Ommer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Roth_2020_CVPR,
author = {Roth, Karsten and Milbich, Timo and Ommer, Bjorn},
title = {PADS: Policy-Adapted Sampling for Visual Similarity Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Interactive Multi-Label CNN Learning With Partial Labels: Dat Huynh,

Ehsan Elhamifar; [pdf] [supp]
[bibtex]
@InProceedings{Huynh_2020_CVPR,
author = {Huynh, Dat and Elhamifar, Ehsan},
title = {Interactive Multi-Label CNN Learning With Partial Labels},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SketchyCOCO: Image Generation From Freehand Scene Sketches: Chengying Gao,

Qi Liu,

Qi Xu,

Limin Wang,

Jianzhuang Liu,

Changqing Zou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2020_CVPR,
author = {Gao, Chengying and Liu, Qi and Xu, Qi and Wang, Limin and Liu, Jianzhuang and Zou, Changqing},
title = {SketchyCOCO: Image Generation From Freehand Scene Sketches},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Effectively Unbiased FID and Inception Score and Where to Find Them: Min Jin Chong,

David Forsyth; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chong_2020_CVPR,
author = {Chong, Min Jin and Forsyth, David},
title = {Effectively Unbiased FID and Inception Score and Where to Find Them},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Controllable Orthogonalization in Training DNNs: Lei Huang,

Li Liu,

Fan Zhu,

Diwen Wan,

Zehuan Yuan,

Bo Li,

Ling Shao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Lei and Liu, Li and Zhu, Fan and Wan, Diwen and Yuan, Zehuan and Li, Bo and Shao, Ling},
title = {Controllable Orthogonalization in Training DNNs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Interpreting the Latent Space of GANs for Semantic Face Editing: Yujun Shen,

Jinjin Gu,

Xiaoou Tang,

Bolei Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shen_2020_CVPR,
author = {Shen, Yujun and Gu, Jinjin and Tang, Xiaoou and Zhou, Bolei},
title = {Interpreting the Latent Space of GANs for Semantic Face Editing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Tracking by Instance Detection: A Meta-Learning Approach: Guangting Wang,

Chong Luo,

Xiaoyan Sun,

Zhiwei Xiong,

Wenjun Zeng; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Guangting and Luo, Chong and Sun, Xiaoyan and Xiong, Zhiwei and Zeng, Wenjun},
title = {Tracking by Instance Detection: A Meta-Learning Approach},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules: Zhengxue Cheng,

Heming Sun,

Masaru Takeuchi,

Jiro Katto; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Zhengxue and Sun, Heming and Takeuchi, Masaru and Katto, Jiro},
title = {Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation: Li Jiang,

Hengshuang Zhao,

Shaoshuai Shi,

Shu Liu,

Chi-Wing Fu,

Jiaya Jia; [pdf] [arXiv]
[bibtex]
@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Li and Zhao, Hengshuang and Shi, Shaoshuai and Liu, Shu and Fu, Chi-Wing and Jia, Jiaya},
title = {PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Semantic Drift Compensation for Class-Incremental Learning: Lu Yu,

Bartlomiej Twardowski,

Xialei Liu,

Luis Herranz,

Kai Wang,

Yongmei Cheng,

Shangling Jui,

Joost van de Weijer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2020_CVPR,
author = {Yu, Lu and Twardowski, Bartlomiej and Liu, Xialei and Herranz, Luis and Wang, Kai and Cheng, Yongmei and Jui, Shangling and van de Weijer, Joost},
title = {Semantic Drift Compensation for Class-Incremental Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Generating 3D People in Scenes Without People: Yan Zhang,

Mohamed Hassan,

Heiko Neumann,

Michael J. Black,

Siyu Tang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yan and Hassan, Mohamed and Neumann, Heiko and Black, Michael J. and Tang, Siyu},
title = {Generating 3D People in Scenes Without People},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Computing Valid P-Values for Image Segmentation by Selective Inference: Kosuke Tanizaki,

Noriaki Hashimoto,

Yu Inatsu,

Hidekata Hontani,

Ichiro Takeuchi; [pdf] [supp]
[bibtex]
@InProceedings{Tanizaki_2020_CVPR,
author = {Tanizaki, Kosuke and Hashimoto, Noriaki and Inatsu, Yu and Hontani, Hidekata and Takeuchi, Ichiro},
title = {Computing Valid P-Values for Image Segmentation by Selective Inference},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking: Jin Gao,

Weiming Hu,

Yan Lu; [pdf] [supp] [video]
[bibtex]
@InProceedings{Gao_2020_CVPR,
author = {Gao, Jin and Hu, Weiming and Lu, Yan},
title = {Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection: Rui Qian,

Divyansh Garg,

Yan Wang,

Yurong You,

Serge Belongie,

Bharath Hariharan,

Mark Campbell,

Kilian Q. Weinberger,

Wei-Lun Chao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qian_2020_CVPR,
author = {Qian, Rui and Garg, Divyansh and Wang, Yan and You, Yurong and Belongie, Serge and Hariharan, Bharath and Campbell, Mark and Weinberger, Kilian Q. and Chao, Wei-Lun},
title = {End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Quantum Computational Approach to Correspondence Problems on Point Sets: Vladislav Golyanik,

Christian Theobalt; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Golyanik_2020_CVPR,
author = {Golyanik, Vladislav and Theobalt, Christian},
title = {A Quantum Computational Approach to Correspondence Problems on Point Sets},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks: Haohan Wang,

Xindi Wu,

Zeyi Huang,

Eric P. Xing; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Haohan and Wu, Xindi and Huang, Zeyi and Xing, Eric P.},
title = {High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images: Hang Zhou,

Jihao Liu,

Ziwei Liu,

Yu Liu,

Xiaogang Wang; [pdf] [supp] [video]
[bibtex]
@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Hang and Liu, Jihao and Liu, Ziwei and Liu, Yu and Wang, Xiaogang},
title = {Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Scene-Adaptive Video Frame Interpolation via Meta-Learning: Myungsub Choi,

Janghoon Choi,

Sungyong Baik,

Tae Hyun Kim,

Kyoung Mu Lee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Choi_2020_CVPR,
author = {Choi, Myungsub and Choi, Janghoon and Baik, Sungyong and Kim, Tae Hyun and Lee, Kyoung Mu},
title = {Scene-Adaptive Video Frame Interpolation via Meta-Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On the Distribution of Minima in Intrinsic-Metric Rotation Averaging: Kyle Wilson,

David Bindel; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wilson_2020_CVPR,
author = {Wilson, Kyle and Bindel, David},
title = {On the Distribution of Minima in Intrinsic-Metric Rotation Averaging},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Explainable Object-Induced Action Decision for Autonomous Vehicles: Yiran Xu,

Xiaoyin Yang,

Lihang Gong,

Hsuan-Chu Lin,

Tz-Ying Wu,

Yunsheng Li,

Nuno Vasconcelos; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2020_CVPR,
author = {Xu, Yiran and Yang, Xiaoyin and Gong, Lihang and Lin, Hsuan-Chu and Wu, Tz-Ying and Li, Yunsheng and Vasconcelos, Nuno},
title = {Explainable Object-Induced Action Decision for Autonomous Vehicles},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data: Vignesh Ramanathan,

Rui Wang,

Dhruv Mahajan; [pdf] [supp]
[bibtex]
@InProceedings{Ramanathan_2020_CVPR,
author = {Ramanathan, Vignesh and Wang, Rui and Mahajan, Dhruv},
title = {DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robust Partial Matching for Person Search in the Wild: Yingji Zhong,

Xiaoyu Wang,

Shiliang Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhong_2020_CVPR,
author = {Zhong, Yingji and Wang, Xiaoyu and Zhang, Shiliang},
title = {Robust Partial Matching for Person Search in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions: Ricard Durall,

Margret Keuper,

Janis Keuper; [pdf] [supp] [video]
[bibtex]
@InProceedings{Durall_2020_CVPR,
author = {Durall, Ricard and Keuper, Margret and Keuper, Janis},
title = {Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation: Junjie Huang,

Zheng Zhu,

Feng Guo,

Guan Huang; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Junjie and Zhu, Zheng and Guo, Feng and Huang, Guan},
title = {The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations: Xiang Gao,

Wei Hu,

Guo-Jun Qi; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Gao_2020_CVPR,
author = {Gao, Xiang and Hu, Wei and Qi, Guo-Jun},
title = {GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders: Jing Zhang,

Deng-Ping Fan,

Yuchao Dai,

Saeed Anwar,

Fatemeh Sadat Saleh,

Tong Zhang,

Nick Barnes; [pdf] [video]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Jing and Fan, Deng-Ping and Dai, Yuchao and Anwar, Saeed and Saleh, Fatemeh Sadat and Zhang, Tong and Barnes, Nick},
title = {UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
4D Visualization of Dynamic Events From Unconstrained Multi-View Videos: Aayush Bansal,

Minh Vo,

Yaser Sheikh,

Deva Ramanan,

Srinivasa Narasimhan; [pdf] [arXiv]
[bibtex]
@InProceedings{Bansal_2020_CVPR,
author = {Bansal, Aayush and Vo, Minh and Sheikh, Yaser and Ramanan, Deva and Narasimhan, Srinivasa},
title = {4D Visualization of Dynamic Events From Unconstrained Multi-View Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation: Jean Kossaifi,

Antoine Toisoul,

Adrian Bulat,

Yannis Panagakis,

Timothy M. Hospedales,

Maja Pantic; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Kossaifi_2020_CVPR,
author = {Kossaifi, Jean and Toisoul, Antoine and Bulat, Adrian and Panagakis, Yannis and Hospedales, Timothy M. and Pantic, Maja},
title = {Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines: Ali Mosleh,

Avinash Sharma,

Emmanuel Onzon,

Fahim Mannan,

Nicolas Robidoux,

Felix Heide; [pdf] [supp] [video]
[bibtex]
@InProceedings{Mosleh_2020_CVPR,
author = {Mosleh, Ali and Sharma, Avinash and Onzon, Emmanuel and Mannan, Fahim and Robidoux, Nicolas and Heide, Felix},
title = {Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals: Zhixiang Min,

Yiding Yang,

Enrique Dunn; [pdf]
[bibtex]
@InProceedings{Min_2020_CVPR,
author = {Min, Zhixiang and Yang, Yiding and Dunn, Enrique},
title = {VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds: Haozhe Qi,

Chen Feng,

Zhiguo Cao,

Feng Zhao,

Yang Xiao; [pdf] [arXiv]
[bibtex]
@InProceedings{Qi_2020_CVPR,
author = {Qi, Haozhe and Feng, Chen and Cao, Zhiguo and Zhao, Feng and Xiao, Yang},
title = {P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Deep Shape Descriptor With Point Distribution Learning: Yi Shi,

Mengchen Xu,

Shuaihang Yuan,

Yi Fang; [pdf]
[bibtex]
@InProceedings{Shi_2020_CVPR,
author = {Shi, Yi and Xu, Mengchen and Yuan, Shuaihang and Fang, Yi},
title = {Unsupervised Deep Shape Descriptor With Point Distribution Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Transfer Texture From Clothing Images to 3D Humans: Aymen Mir,

Thiemo Alldieck,

Gerard Pons-Moll; [pdf] [supp]
[bibtex]
@InProceedings{Mir_2020_CVPR,
author = {Mir, Aymen and Alldieck, Thiemo and Pons-Moll, Gerard},
title = {Learning to Transfer Texture From Clothing Images to 3D Humans},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning: Yu Deng,

Jiaolong Yang,

Dong Chen,

Fang Wen,

Xin Tong; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Deng_2020_CVPR,
author = {Deng, Yu and Yang, Jiaolong and Chen, Dong and Wen, Fang and Tong, Xin},
title = {Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Scale Interactive Network for Salient Object Detection: Youwei Pang,

Xiaoqi Zhao,

Lihe Zhang,

Huchuan Lu; [pdf] [arXiv]
[bibtex]
@InProceedings{Pang_2020_CVPR,
author = {Pang, Youwei and Zhao, Xiaoqi and Zhang, Lihe and Lu, Huchuan},
title = {Multi-Scale Interactive Network for Salient Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Correlation-Guided Attention for Corner Detection Based Visual Tracking: Fei Du,

Peng Liu,

Wei Zhao,

Xianglong Tang; [pdf] [supp]
[bibtex]
@InProceedings{Du_2020_CVPR,
author = {Du, Fei and Liu, Peng and Zhao, Wei and Tang, Xianglong},
title = {Correlation-Guided Attention for Corner Detection Based Visual Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network: Fukun Yin,

Shizhe Zhou; [pdf] [video]
[bibtex]
@InProceedings{Yin_2020_CVPR,
author = {Yin, Fukun and Zhou, Shizhe},
title = {Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification: Yunpeng Zhai,

Shijian Lu,

Qixiang Ye,

Xuebo Shan,

Jie Chen,

Rongrong Ji,

Yonghong Tian; [pdf] [video]
[bibtex]
@InProceedings{Zhai_2020_CVPR,
author = {Zhai, Yunpeng and Lu, Shijian and Ye, Qixiang and Shan, Xuebo and Chen, Jie and Ji, Rongrong and Tian, Yonghong},
title = {AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Regularizing Neural Networks via Minimizing Hyperspherical Energy: Rongmei Lin,

Weiyang Liu,

Zhen Liu,

Chen Feng,

Zhiding Yu,

James M. Rehg,

Li Xiong,

Le Song; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2020_CVPR,
author = {Lin, Rongmei and Liu, Weiyang and Liu, Zhen and Feng, Chen and Yu, Zhiding and Rehg, James M. and Xiong, Li and Song, Le},
title = {Regularizing Neural Networks via Minimizing Hyperspherical Energy},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Density-Aware Feature Embedding for Face Clustering: Senhui Guo,

Jing Xu,

Dapeng Chen,

Chao Zhang,

Xiaogang Wang,

Rui Zhao; [pdf]
[bibtex]
@InProceedings{Guo_2020_CVPR,
author = {Guo, Senhui and Xu, Jing and Chen, Dapeng and Zhang, Chao and Wang, Xiaogang and Zhao, Rui},
title = {Density-Aware Feature Embedding for Face Clustering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Manipulate Individual Objects in an Image: Yanchao Yang,

Yutong Chen,

Stefano Soatto; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2020_CVPR,
author = {Yang, Yanchao and Chen, Yutong and Soatto, Stefano},
title = {Learning to Manipulate Individual Objects in an Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3D Photography Using Context-Aware Layered Depth Inpainting: Meng-Li Shih,

Shih-Yang Su,

Johannes Kopf,

Jia-Bin Huang; [pdf] [arXiv]
[bibtex]
@InProceedings{Shih_2020_CVPR,
author = {Shih, Meng-Li and Su, Shih-Yang and Kopf, Johannes and Huang, Jia-Bin},
title = {3D Photography Using Context-Aware Layered Depth Inpainting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Grid-GCN for Fast and Scalable Point Cloud Learning: Qiangeng Xu,

Xudong Sun,

Cho-Ying Wu,

Panqu Wang,

Ulrich Neumann; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2020_CVPR,
author = {Xu, Qiangeng and Sun, Xudong and Wu, Cho-Ying and Wang, Panqu and Neumann, Ulrich},
title = {Grid-GCN for Fast and Scalable Point Cloud Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering: Lei Zhou,

Zixin Luo,

Tianwei Shen,

Jiahui Zhang,

Mingmin Zhen,

Yao Yao,

Tian Fang,

Long Quan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Lei and Luo, Zixin and Shen, Tianwei and Zhang, Jiahui and Zhen, Mingmin and Yao, Yao and Fang, Tian and Quan, Long},
title = {KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SuperGlue: Learning Feature Matching With Graph Neural Networks: Paul-Edouard Sarlin,

Daniel DeTone,

Tomasz Malisiewicz,

Andrew Rabinovich; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sarlin_2020_CVPR,
author = {Sarlin, Paul-Edouard and DeTone, Daniel and Malisiewicz, Tomasz and Rabinovich, Andrew},
title = {SuperGlue: Learning Feature Matching With Graph Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Probabilistic Structural Latent Representation for Unsupervised Embedding: Mang Ye,

Jianbing Shen; [pdf]
[bibtex]
@InProceedings{Ye_2020_CVPR,
author = {Ye, Mang and Shen, Jianbing},
title = {Probabilistic Structural Latent Representation for Unsupervised Embedding},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
How Useful Is Self-Supervised Pretraining for Visual Tasks?: Alejandro Newell,

Jia Deng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Newell_2020_CVPR,
author = {Newell, Alejandro and Deng, Jia},
title = {How Useful Is Self-Supervised Pretraining for Visual Tasks?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation: Min-Hung Chen,

Baopu Li,

Yingze Bao,

Ghassan AlRegib,

Zsolt Kira; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Min-Hung and Li, Baopu and Bao, Yingze and AlRegib, Ghassan and Kira, Zsolt},
title = {Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning: Yi Liu,

Guangchang Deng,

Xiangping Zeng,

Si Wu,

Zhiwen Yu,

Hau-San Wong; [pdf] [video]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Yi and Deng, Guangchang and Zeng, Xiangping and Wu, Si and Yu, Zhiwen and Wong, Hau-San},
title = {Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
State-Relabeling Adversarial Active Learning: Beichen Zhang,

Liang Li,

Shijie Yang,

Shuhui Wang,

Zheng-Jun Zha,

Qingming Huang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Beichen and Li, Liang and Yang, Shijie and Wang, Shuhui and Zha, Zheng-Jun and Huang, Qingming},
title = {State-Relabeling Adversarial Active Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression: Yawei Li,

Shuhang Gu,

Christoph Mayer,

Luc Van Gool,

Radu Timofte; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Yawei and Gu, Shuhang and Mayer, Christoph and Van Gool, Luc and Timofte, Radu},
title = {Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
P-nets: Deep Polynomial Neural Networks: Grigorios G. Chrysos,

Stylianos Moschoglou,

Giorgos Bouritsas,

Yannis Panagakis,

Jiankang Deng,

Stefanos Zafeiriou; [pdf] [supp]
[bibtex]
@InProceedings{Chrysos_2020_CVPR,
author = {Chrysos, Grigorios G. and Moschoglou, Stylianos and Bouritsas, Giorgos and Panagakis, Yannis and Deng, Jiankang and Zafeiriou, Stefanos},
title = {P-nets: Deep Polynomial Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
G3AN: Disentangling Appearance and Motion for Video Generation: Yaohui Wang,

Piotr Bilinski,

Francois Bremond,

Antitza Dantcheva; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Yaohui and Bilinski, Piotr and Bremond, Francois and Dantcheva, Antitza},
title = {G3AN: Disentangling Appearance and Motion for Video Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation: Mohammad Rami Koujan,

Anastasios Roussos,

Stefanos Zafeiriou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Koujan_2020_CVPR,
author = {Koujan, Mohammad Rami and Roussos, Anastasios and Zafeiriou, Stefanos},
title = {DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model: Bo Pang,

Yizhuo Li,

Yifan Zhang,

Muchen Li,

Cewu Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pang_2020_CVPR,
author = {Pang, Bo and Li, Yizhuo and Zhang, Yifan and Li, Muchen and Lu, Cewu},
title = {TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Few-Shot Open-Set Recognition Using Meta-Learning: Bo Liu,

Hao Kang,

Haoxiang Li,

Gang Hua,

Nuno Vasconcelos; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Bo and Kang, Hao and Li, Haoxiang and Hua, Gang and Vasconcelos, Nuno},
title = {Few-Shot Open-Set Recognition Using Meta-Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sequential 3D Human Pose and Shape Estimation From Point Clouds: Kangkan Wang,

Jin Xie,

Guofeng Zhang,

Lei Liu,

Jian Yang; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Kangkan and Xie, Jin and Zhang, Guofeng and Liu, Lei and Yang, Jian},
title = {Sequential 3D Human Pose and Shape Estimation From Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget: Guy Davidson,

Michael C. Mozer; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Davidson_2020_CVPR,
author = {Davidson, Guy and Mozer, Michael C.},
title = {Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Siam R-CNN: Visual Tracking by Re-Detection: Paul Voigtlaender,

Jonathon Luiten,

Philip H.S. Torr,

Bastian Leibe; [pdf] [supp]
[bibtex]
@InProceedings{Voigtlaender_2020_CVPR,
author = {Voigtlaender, Paul and Luiten, Jonathon and Torr, Philip H.S. and Leibe, Bastian},
title = {Siam R-CNN: Visual Tracking by Re-Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks: Aditya Golatkar,

Alessandro Achille,

Stefano Soatto; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Golatkar_2020_CVPR,
author = {Golatkar, Aditya and Achille, Alessandro and Soatto, Stefano},
title = {Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks: Animesh Karnewar,

Oliver Wang; [pdf] [supp]
[bibtex]
@InProceedings{Karnewar_2020_CVPR,
author = {Karnewar, Animesh and Wang, Oliver},
title = {MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Transferring Cross-Domain Knowledge for Video Sign Language Recognition: Dongxu Li,

Xin Yu,

Chenchen Xu,

Lars Petersson,

Hongdong Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Dongxu and Yu, Xin and Xu, Chenchen and Petersson, Lars and Li, Hongdong},
title = {Transferring Cross-Domain Knowledge for Video Sign Language Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Flow Contrastive Estimation of Energy-Based Models: Ruiqi Gao,

Erik Nijkamp,

Diederik P. Kingma,

Zhen Xu,

Andrew M. Dai,

Ying Nian Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2020_CVPR,
author = {Gao, Ruiqi and Nijkamp, Erik and Kingma, Diederik P. and Xu, Zhen and Dai, Andrew M. and Wu, Ying Nian},
title = {Flow Contrastive Estimation of Energy-Based Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Improving the Robustness of Capsule Networks to Image Affine Transformations: Jindong Gu,

Volker Tresp; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Gu_2020_CVPR,
author = {Gu, Jindong and Tresp, Volker},
title = {Improving the Robustness of Capsule Networks to Image Affine Transformations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection: Huajun Zhou,

Xiaohua Xie,

Jian-Huang Lai,

Zixuan Chen,

Lingxiao Yang; [pdf]
[bibtex]
@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Huajun and Xie, Xiaohua and Lai, Jian-Huang and Chen, Zixuan and Yang, Lingxiao},
title = {Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation: Yawar Siddiqui,

Julien Valentin,

Matthias Niessner; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Siddiqui_2020_CVPR,
author = {Siddiqui, Yawar and Valentin, Julien and Niessner, Matthias},
title = {ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A U-Net Based Discriminator for Generative Adversarial Networks: Edgar Schonfeld,

Bernt Schiele,

Anna Khoreva; [pdf] [supp]
[bibtex]
@InProceedings{Schonfeld_2020_CVPR,
author = {Schonfeld, Edgar and Schiele, Bernt and Khoreva, Anna},
title = {A U-Net Based Discriminator for Generative Adversarial Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Diversified Arbitrary Style Transfer via Deep Feature Perturbation: Zhizhong Wang,

Lei Zhao,

Haibo Chen,

Lihong Qiu,

Qihang Mo,

Sihuan Lin,

Wei Xing,

Dongming Lu; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Zhizhong and Zhao, Lei and Chen, Haibo and Qiu, Lihong and Mo, Qihang and Lin, Sihuan and Xing, Wei and Lu, Dongming},
title = {Diversified Arbitrary Style Transfer via Deep Feature Perturbation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
15 Keypoints Is All You Need: Michael Snower,

Asim Kadav,

Farley Lai,

Hans Peter Graf; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Snower_2020_CVPR,
author = {Snower, Michael and Kadav, Asim and Lai, Farley and Graf, Hans Peter},
title = {15 Keypoints Is All You Need},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood: Abhinav Kumar,

Tim K. Marks,

Wenxuan Mou,

Ye Wang,

Michael Jones,

Anoop Cherian,

Toshiaki Koike-Akino,

Xiaoming Liu,

Chen Feng; [pdf] [supp] [arXiv] [video] [dataset]
[bibtex]
@InProceedings{Kumar_2020_CVPR,
author = {Kumar, Abhinav and Marks, Tim K. and Mou, Wenxuan and Wang, Ye and Jones, Michael and Cherian, Anoop and Koike-Akino, Toshiaki and Liu, Xiaoming and Feng, Chen},
title = {LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Cartoonize Using White-Box Cartoon Representations: Xinrui Wang,

Jinze Yu; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Xinrui and Yu, Jinze},
title = {Learning to Cartoonize Using White-Box Cartoon Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification: Ruihui Li,

Xianzhi Li,

Pheng-Ann Heng,

Chi-Wing Fu; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Ruihui and Li, Xianzhi and Heng, Pheng-Ann and Fu, Chi-Wing},
title = {PointAugment: An Auto-Augmentation Framework for Point Cloud Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Siamese Box Adaptive Network for Visual Tracking: Zedu Chen,

Bineng Zhong,

Guorong Li,

Shengping Zhang,

Rongrong Ji; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Zedu and Zhong, Bineng and Li, Guorong and Zhang, Shengping and Ji, Rongrong},
title = {Siamese Box Adaptive Network for Visual Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Interpretable and Accurate Fine-grained Recognition via Region Grouping: Zixuan Huang,

Yin Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Zixuan and Li, Yin},
title = {Interpretable and Accurate Fine-grained Recognition via Region Grouping},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer: Yerlan Idelbayev,

Miguel A. Carreira-Perpinan; [pdf] [supp]
[bibtex]
@InProceedings{Idelbayev_2020_CVPR,
author = {Idelbayev, Yerlan and Carreira-Perpinan, Miguel A.},
title = {Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
There and Back Again: Revisiting Backpropagation Saliency Methods: Sylvestre-Alvise Rebuffi,

Ruth Fong,

Xu Ji,

Andrea Vedaldi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Rebuffi_2020_CVPR,
author = {Rebuffi, Sylvestre-Alvise and Fong, Ruth and Ji, Xu and Vedaldi, Andrea},
title = {There and Back Again: Revisiting Backpropagation Saliency Methods},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Meta Face Recognition in Unseen Domains: Jianzhu Guo,

Xiangyu Zhu,

Chenxu Zhao,

Dong Cao,

Zhen Lei,

Stan Z. Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Guo_2020_CVPR,
author = {Guo, Jianzhu and Zhu, Xiangyu and Zhao, Chenxu and Cao, Dong and Lei, Zhen and Li, Stan Z.},
title = {Learning Meta Face Recognition in Unseen Domains},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images: Yaxing Wang,

Abel Gonzalez-Garcia,

David Berga,

Luis Herranz,

Fahad Shahbaz Khan,

Joost van de Weijer; [pdf] [supp] [video]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Yaxing and Gonzalez-Garcia, Abel and Berga, David and Herranz, Luis and Khan, Fahad Shahbaz and van de Weijer, Joost},
title = {MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
State-Aware Tracker for Real-Time Video Object Segmentation: Xi Chen,

Zuoxin Li,

Ye Yuan,

Gang Yu,

Jianxin Shen,

Donglian Qi; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Xi and Li, Zuoxin and Yuan, Ye and Yu, Gang and Shen, Jianxin and Qi, Donglian},
title = {State-Aware Tracker for Real-Time Video Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DualSDF: Semantic Shape Manipulation Using a Two-Level Representation: Zekun Hao,

Hadar Averbuch-Elor,

Noah Snavely,

Serge Belongie; [pdf] [supp]
[bibtex]
@InProceedings{Hao_2020_CVPR,
author = {Hao, Zekun and Averbuch-Elor, Hadar and Snavely, Noah and Belongie, Serge},
title = {DualSDF: Semantic Shape Manipulation Using a Two-Level Representation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?: Safa Messaoud,

Maghav Kumar,

Alexander G. Schwing; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Messaoud_2020_CVPR,
author = {Messaoud, Safa and Kumar, Maghav and Schwing, Alexander G.},
title = {Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
D3S - A Discriminative Single Shot Segmentation Tracker: Alan Lukezic,

Jiri Matas,

Matej Kristan; [pdf] [supp]
[bibtex]
@InProceedings{Lukezic_2020_CVPR,
author = {Lukezic, Alan and Matas, Jiri and Kristan, Matej},
title = {D3S - A Discriminative Single Shot Segmentation Tracker},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Spectral Face Hallucination via Disentangling Independent Factors: Boyan Duan,

Chaoyou Fu,

Yi Li,

Xingguang Song,

Ran He; [pdf] [arXiv]
[bibtex]
@InProceedings{Duan_2020_CVPR,
author = {Duan, Boyan and Fu, Chaoyou and Li, Yi and Song, Xingguang and He, Ran},
title = {Cross-Spectral Face Hallucination via Disentangling Independent Factors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation: Cheng Ma,

Zhenyu Jiang,

Yongming Rao,

Jiwen Lu,

Jie Zhou; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Ma_2020_CVPR,
author = {Ma, Cheng and Jiang, Zhenyu and Rao, Yongming and Lu, Jiwen and Zhou, Jie},
title = {Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild: Umar Iqbal,

Pavlo Molchanov,

Jan Kautz; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Iqbal_2020_CVPR,
author = {Iqbal, Umar and Molchanov, Pavlo and Kautz, Jan},
title = {Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Data Uncertainty Learning in Face Recognition: Jie Chang,

Zhonghao Lan,

Changmao Cheng,

Yichen Wei; [pdf] [arXiv]
[bibtex]
@InProceedings{Chang_2020_CVPR,
author = {Chang, Jie and Lan, Zhonghao and Cheng, Changmao and Wei, Yichen},
title = {Data Uncertainty Learning in Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Fast and Robust Target Models for Video Object Segmentation: Andreas Robinson,

Felix Jaremo Lawin,

Martin Danelljan,

Fahad Shahbaz Khan,

Michael Felsberg; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Robinson_2020_CVPR,
author = {Robinson, Andreas and Lawin, Felix Jaremo and Danelljan, Martin and Khan, Fahad Shahbaz and Felsberg, Michael},
title = {Learning Fast and Robust Target Models for Video Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Transferring and Regularizing Prediction for Semantic Segmentation: Yiheng Zhang,

Zhaofan Qiu,

Ting Yao,

Chong-Wah Ngo,

Dong Liu,

Tao Mei; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yiheng and Qiu, Zhaofan and Yao, Ting and Ngo, Chong-Wah and Liu, Dong and Mei, Tao},
title = {Transferring and Regularizing Prediction for Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adaptive Loss-Aware Quantization for Multi-Bit Networks: Zhongnan Qu,

Zimu Zhou,

Yun Cheng,

Lothar Thiele; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qu_2020_CVPR,
author = {Qu, Zhongnan and Zhou, Zimu and Cheng, Yun and Thiele, Lothar},
title = {Adaptive Loss-Aware Quantization for Multi-Bit Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation: Cheng-Han Lee,

Ziwei Liu,

Lingyun Wu,

Ping Luo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2020_CVPR,
author = {Lee, Cheng-Han and Liu, Ziwei and Wu, Lingyun and Luo, Ping},
title = {MaskGAN: Towards Diverse and Interactive Facial Image Manipulation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ClusterFit: Improving Generalization of Visual Representations: Xueting Yan,

Ishan Misra,

Abhinav Gupta,

Deepti Ghadiyaram,

Dhruv Mahajan; [pdf] [arXiv]
[bibtex]
@InProceedings{Yan_2020_CVPR,
author = {Yan, Xueting and Misra, Ishan and Gupta, Abhinav and Ghadiyaram, Deepti and Mahajan, Dhruv},
title = {ClusterFit: Improving Generalization of Visual Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robust Homography Estimation via Dual Principal Component Pursuit: Tianjiao Ding,

Yunchen Yang,

Zhihui Zhu,

Daniel P. Robinson,

Rene Vidal,

Laurent Kneip,

Manolis C. Tsakiris; [pdf]
[bibtex]
@InProceedings{Ding_2020_CVPR,
author = {Ding, Tianjiao and Yang, Yunchen and Zhu, Zhihui and Robinson, Daniel P. and Vidal, Rene and Kneip, Laurent and Tsakiris, Manolis C.},
title = {Robust Homography Estimation via Dual Principal Component Pursuit},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Face X-Ray for More General Face Forgery Detection: Lingzhi Li,

Jianmin Bao,

Ting Zhang,

Hao Yang,

Dong Chen,

Fang Wen,

Baining Guo; [pdf]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Lingzhi and Bao, Jianmin and Zhang, Ting and Yang, Hao and Chen, Dong and Wen, Fang and Guo, Baining},
title = {Face X-Ray for More General Face Forgery Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Exploring Unlabeled Faces for Novel Attribute Discovery: Hyojin Bahng,

Sunghyo Chung,

Seungjoo Yoo,

Jaegul Choo; [pdf] [arXiv]
[bibtex]
@InProceedings{Bahng_2020_CVPR,
author = {Bahng, Hyojin and Chung, Sunghyo and Yoo, Seungjoo and Choo, Jaegul},
title = {Exploring Unlabeled Faces for Novel Attribute Discovery},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Spatially Attentive Output Layer for Image Classification: Ildoo Kim,

Woonhyuk Baek,

Sungwoong Kim; [pdf] [arXiv]
[bibtex]
@InProceedings{Kim_2020_CVPR,
author = {Kim, Ildoo and Baek, Woonhyuk and Kim, Sungwoong},
title = {Spatially Attentive Output Layer for Image Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning: Dat Huynh,

Ehsan Elhamifar; [pdf] [supp]
[bibtex]
@InProceedings{Huynh_2020_CVPR,
author = {Huynh, Dat and Elhamifar, Ehsan},
title = {A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Optical Flow in the Dark: Yinqiang Zheng,

Mingfang Zhang,

Feng Lu; [pdf]
[bibtex]
@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Yinqiang and Zhang, Mingfang and Lu, Feng},
title = {Optical Flow in the Dark},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings: Amy Zhao,

Guha Balakrishnan,

Kathleen M. Lewis,

Fredo Durand,

John V. Guttag,

Adrian V. Dalca; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Amy and Balakrishnan, Guha and Lewis, Kathleen M. and Durand, Fredo and Guttag, John V. and Dalca, Adrian V.},
title = {Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning a Neural Solver for Multiple Object Tracking: Guillem Braso,

Laura Leal-Taixe; [pdf] [supp]
[bibtex]
@InProceedings{Braso_2020_CVPR,
author = {Braso, Guillem and Leal-Taixe, Laura},
title = {Learning a Neural Solver for Multiple Object Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy: Jaejun Yoo,

Namhyuk Ahn,

Kyung-Ah Sohn; [pdf] [supp] [video]
[bibtex]
@InProceedings{Yoo_2020_CVPR,
author = {Yoo, Jaejun and Ahn, Namhyuk and Sohn, Kyung-Ah},
title = {Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Evade Deep Image Retrieval by Stashing Private Images in the Hash Space: Yanru Xiao,

Cong Wang,

Xing Gao; [pdf]
[bibtex]
@InProceedings{Xiao_2020_CVPR,
author = {Xiao, Yanru and Wang, Cong and Gao, Xing},
title = {Evade Deep Image Retrieval by Stashing Private Images in the Hash Space},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes: Enric Corona,

Albert Pumarola,

Guillem Alenya,

Francesc Moreno-Noguer,

Gregory Rogez; [pdf]
[bibtex]
@InProceedings{Corona_2020_CVPR,
author = {Corona, Enric and Pumarola, Albert and Alenya, Guillem and Moreno-Noguer, Francesc and Rogez, Gregory},
title = {GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning: Lin Wang,

Tae-Kyun Kim,

Kuk-Jin Yoon; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Lin and Kim, Tae-Kyun and Yoon, Kuk-Jin},
title = {EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Quaternion Product Units for Deep Learning on 3D Rotation Groups: Xuan Zhang,

Shaofei Qin,

Yi Xu,

Hongteng Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Xuan and Qin, Shaofei and Xu, Yi and Xu, Hongteng},
title = {Quaternion Product Units for Deep Learning on 3D Rotation Groups},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3D Human Mesh Regression With Dense Correspondence: Wang Zeng,

Wanli Ouyang,

Ping Luo,

Wentao Liu,

Xiaogang Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zeng_2020_CVPR,
author = {Zeng, Wang and Ouyang, Wanli and Luo, Ping and Liu, Wentao and Wang, Xiaogang},
title = {3D Human Mesh Regression With Dense Correspondence},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Shadow Hand-Drawn Sketches: Qingyuan Zheng,

Zhuoru Li,

Adam Bargteil; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Qingyuan and Li, Zhuoru and Bargteil, Adam},
title = {Learning to Shadow Hand-Drawn Sketches},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Optimizing Rank-Based Metrics With Blackbox Differentiation: Michal Rolinek,

Vit Musil,

Anselm Paulus,

Marin Vlastelica,

Claudio Michaelis,

Georg Martius; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Rolinek_2020_CVPR,
author = {Rolinek, Michal and Musil, Vit and Paulus, Anselm and Vlastelica, Marin and Michaelis, Claudio and Martius, Georg},
title = {Optimizing Rank-Based Metrics With Blackbox Differentiation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fast Texture Synthesis via Pseudo Optimizer: Wu Shi,

Yu Qiao; [pdf] [supp]
[bibtex]
@InProceedings{Shi_2020_CVPR,
author = {Shi, Wu and Qiao, Yu},
title = {Fast Texture Synthesis via Pseudo Optimizer},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition: Song Bian,

Tianchen Wang,

Masayuki Hiromoto,

Yiyu Shi,

Takashi Sato; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Bian_2020_CVPR,
author = {Bian, Song and Wang, Tianchen and Hiromoto, Masayuki and Shi, Yiyu and Sato, Takashi},
title = {ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Dynamic Relationships for 3D Human Motion Prediction: Qiongjie Cui,

Huaijiang Sun,

Fei Yang; [pdf]
[bibtex]
@InProceedings{Cui_2020_CVPR,
author = {Cui, Qiongjie and Sun, Huaijiang and Yang, Fei},
title = {Learning Dynamic Relationships for 3D Human Motion Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SAM: The Sensitivity of Attribution Methods to Hyperparameters: Naman Bansal,

Chirag Agarwal,

Anh Nguyen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bansal_2020_CVPR,
author = {Bansal, Naman and Agarwal, Chirag and Nguyen, Anh},
title = {SAM: The Sensitivity of Attribution Methods to Hyperparameters},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Optimize on SPD Manifolds: Zhi Gao,

Yuwei Wu,

Yunde Jia,

Mehrtash Harandi; [pdf] [supp]
[bibtex]
@InProceedings{Gao_2020_CVPR,
author = {Gao, Zhi and Wu, Yuwei and Jia, Yunde and Harandi, Mehrtash},
title = {Learning to Optimize on SPD Manifolds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RGBD-Dog: Predicting Canine Pose from RGBD Sensors: Sinead Kearney,

Wenbin Li,

Martin Parsons,

Kwang In Kim,

Darren Cosker; [pdf] [supp]
[bibtex]
@InProceedings{Kearney_2020_CVPR,
author = {Kearney, Sinead and Li, Wenbin and Parsons, Martin and Kim, Kwang In and Cosker, Darren},
title = {RGBD-Dog: Predicting Canine Pose from RGBD Sensors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CookGAN: Causality Based Text-to-Image Synthesis: Bin Zhu,

Chong-Wah Ngo; [pdf] [supp]
[bibtex]
@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Bin and Ngo, Chong-Wah},
title = {CookGAN: Causality Based Text-to-Image Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Image Based Virtual Try-On Network From Unpaired Data: Assaf Neuberger,

Eran Borenstein,

Bar Hilleli,

Eduard Oks,

Sharon Alpert; [pdf] [supp]
[bibtex]
@InProceedings{Neuberger_2020_CVPR,
author = {Neuberger, Assaf and Borenstein, Eran and Hilleli, Bar and Oks, Eduard and Alpert, Sharon},
title = {Image Based Virtual Try-On Network From Unpaired Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera: Lan Xu,

Weipeng Xu,

Vladislav Golyanik,

Marc Habermann,

Lu Fang,

Christian Theobalt; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Xu_2020_CVPR,
author = {Xu, Lan and Xu, Weipeng and Golyanik, Vladislav and Habermann, Marc and Fang, Lu and Theobalt, Christian},
title = {EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion: Hongxu Yin,

Pavlo Molchanov,

Jose M. Alvarez,

Zhizhong Li,

Arun Mallya,

Derek Hoiem,

Niraj K. Jha,

Jan Kautz; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yin_2020_CVPR,
author = {Yin, Hongxu and Molchanov, Pavlo and Alvarez, Jose M. and Li, Zhizhong and Mallya, Arun and Hoiem, Derek and Jha, Niraj K. and Kautz, Jan},
title = {Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss: Xiang Gu,

Jian Sun,

Zongben Xu; [pdf] [supp]
[bibtex]
@InProceedings{Gu_2020_CVPR,
author = {Gu, Xiang and Sun, Jian and Xu, Zongben},
title = {Spherical Space Domain Adaptation With Robust Pseudo-Label Loss},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Approximating shapes in images with low-complexity polygons: Muxingzi Li,

Florent Lafarge,

Renaud Marlet; [pdf]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Muxingzi and Lafarge, Florent and Marlet, Renaud},
title = {Approximating shapes in images with low-complexity polygons},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition: Chi Nhan Duong,

Thanh-Dat Truong,

Khoa Luu,

Kha Gia Quach,

Hung Bui,

Kaushik Roy; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Duong_2020_CVPR,
author = {Duong, Chi Nhan and Truong, Thanh-Dat and Luu, Khoa and Quach, Kha Gia and Bui, Hung and Roy, Kaushik},
title = {Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking: Dongyan Guo,

Jun Wang,

Ying Cui,

Zhenhua Wang,

Shengyong Chen; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Guo_2020_CVPR,
author = {Guo, Dongyan and Wang, Jun and Cui, Ying and Wang, Zhenhua and Chen, Shengyong},
title = {SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Image Spatial Transformation for Person Image Generation: Yurui Ren,

Xiaoming Yu,

Junming Chen,

Thomas H. Li,

Ge Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Ren_2020_CVPR,
author = {Ren, Yurui and Yu, Xiaoming and Chen, Junming and Li, Thomas H. and Li, Ge},
title = {Deep Image Spatial Transformation for Person Image Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fashion Editing With Adversarial Parsing Learning: Haoye Dong,

Xiaodan Liang,

Yixuan Zhang,

Xujie Zhang,

Xiaohui Shen,

Zhenyu Xie,

Bowen Wu,

Jian Yin; [pdf] [arXiv]
[bibtex]
@InProceedings{Dong_2020_CVPR,
author = {Dong, Haoye and Liang, Xiaodan and Zhang, Yixuan and Zhang, Xujie and Shen, Xiaohui and Xie, Zhenyu and Wu, Bowen and Yin, Jian},
title = {Fashion Editing With Adversarial Parsing Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation: Rahul Mitra,

Nitesh B. Gundavarapu,

Abhishek Sharma,

Arjun Jain; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mitra_2020_CVPR,
author = {Mitra, Rahul and Gundavarapu, Nitesh B. and Sharma, Abhishek and Jain, Arjun},
title = {Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attack to Explain Deep Representation: Mohammad A. A. K. Jalwana,

Naveed Akhtar,

Mohammed Bennamoun,

Ajmal Mian; [pdf]
[bibtex]
@InProceedings{Jalwana_2020_CVPR,
author = {Jalwana, Mohammad A. A. K. and Akhtar, Naveed and Bennamoun, Mohammed and Mian, Ajmal},
title = {Attack to Explain Deep Representation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions: Shaohua Li,

Kaiping Xue,

Bin Zhu,

Chenkai Ding,

Xindi Gao,

David Wei,

Tao Wan; [pdf] [video]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Shaohua and Xue, Kaiping and Zhu, Bin and Ding, Chenkai and Gao, Xindi and Wei, David and Wan, Tao},
title = {FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
The Knowledge Within: Methods for Data-Free Model Compression: Matan Haroush,

Itay Hubara,

Elad Hoffer,

Daniel Soudry; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Haroush_2020_CVPR,
author = {Haroush, Matan and Hubara, Itay and Hoffer, Elad and Soudry, Daniel},
title = {The Knowledge Within: Methods for Data-Free Model Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PropagationNet: Propagate Points to Curve to Learn Structure Information: Xiehe Huang,

Weihong Deng,

Haifeng Shen,

Xiubao Zhang,

Jieping Ye; [pdf] [arXiv]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Xiehe and Deng, Weihong and Shen, Haifeng and Zhang, Xiubao and Ye, Jieping},
title = {PropagationNet: Propagate Points to Curve to Learn Structure Information},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation: Yizhe Zhu,

Martin Renqiang Min,

Asim Kadav,

Hans Peter Graf; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Yizhe and Min, Martin Renqiang and Kadav, Asim and Graf, Hans Peter},
title = {S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance: Jaime Spencer,

Richard Bowden,

Simon Hadfield; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Spencer_2020_CVPR,
author = {Spencer, Jaime and Bowden, Richard and Hadfield, Simon},
title = {Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion: Julian Chibane,

Thiemo Alldieck,

Gerard Pons-Moll; [pdf] [supp] [video]
[bibtex]
@InProceedings{Chibane_2020_CVPR,
author = {Chibane, Julian and Alldieck, Thiemo and Pons-Moll, Gerard},
title = {Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss: Chenyang Zhu,

Kai Xu,

Siddhartha Chaudhuri,

Li Yi,

Leonidas J. Guibas,

Hao Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Chenyang and Xu, Kai and Chaudhuri, Siddhartha and Yi, Li and Guibas, Leonidas J. and Zhang, Hao},
title = {AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Combinatorial Solver for Graph Matching: Tao Wang,

He Liu,

Yidong Li,

Yi Jin,

Xiaohui Hou,

Haibin Ling; [pdf]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Tao and Liu, He and Li, Yidong and Jin, Yi and Hou, Xiaohui and Ling, Haibin},
title = {Learning Combinatorial Solver for Graph Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Nonparametric Object and Parts Modeling With Lie Group Dynamics: David S. Hayden,

Jason Pacheco,

John W. Fisher III; [pdf] [supp]
[bibtex]
@InProceedings{Hayden_2020_CVPR,
author = {Hayden, David S. and Pacheco, Jason and Fisher, III, John W.},
title = {Nonparametric Object and Parts Modeling With Lie Group Dynamics},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Neural Rendering Framework for Free-Viewpoint Relighting: Zhang Chen,

Anpei Chen,

Guli Zhang,

Chengyuan Wang,

Yu Ji,

Kiriakos N. Kutulakos,

Jingyi Yu; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Zhang and Chen, Anpei and Zhang, Guli and Wang, Chengyuan and Ji, Yu and Kutulakos, Kiriakos N. and Yu, Jingyi},
title = {A Neural Rendering Framework for Free-Viewpoint Relighting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attribution in Scale and Space: Shawn Xu,

Subhashini Venugopalan,

Mukund Sundararajan; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2020_CVPR,
author = {Xu, Shawn and Venugopalan, Subhashini and Sundararajan, Mukund},
title = {Attribution in Scale and Space},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Probabilistic Regression for Visual Tracking: Martin Danelljan,

Luc Van Gool,

Radu Timofte; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Danelljan_2020_CVPR,
author = {Danelljan, Martin and Van Gool, Luc and Timofte, Radu},
title = {Probabilistic Regression for Visual Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3DRegNet: A Deep Neural Network for 3D Point Registration: G. Dias Pais,

Srikumar Ramalingam,

Venu Madhav Govindu,

Jacinto C. Nascimento,

Rama Chellappa,

Pedro Miraldo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pais_2020_CVPR,
author = {Pais, G. Dias and Ramalingam, Srikumar and Govindu, Venu Madhav and Nascimento, Jacinto C. and Chellappa, Rama and Miraldo, Pedro},
title = {3DRegNet: A Deep Neural Network for 3D Point Registration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SEAN: Image Synthesis With Semantic Region-Adaptive Normalization: Peihao Zhu,

Rameen Abdal,

Yipeng Qin,

Peter Wonka; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Peihao and Abdal, Rameen and Qin, Yipeng and Wonka, Peter},
title = {SEAN: Image Synthesis With Semantic Region-Adaptive Normalization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution: Gyumin Shim,

Jinsun Park,

In So Kweon; [pdf] [video]
[bibtex]
@InProceedings{Shim_2020_CVPR,
author = {Shim, Gyumin and Park, Jinsun and Kweon, In So},
title = {Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Search to Distill: Pearls Are Everywhere but Not the Eyes: Yu Liu,

Xuhui Jia,

Mingxing Tan,

Raviteja Vemulapalli,

Yukun Zhu,

Bradley Green,

Xiaogang Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Yu and Jia, Xuhui and Tan, Mingxing and Vemulapalli, Raviteja and Zhu, Yukun and Green, Bradley and Wang, Xiaogang},
title = {Search to Distill: Pearls Are Everywhere but Not the Eyes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Boosting Semantic Human Matting With Coarse Annotations: Jinlin Liu,

Yuan Yao,

Wendi Hou,

Miaomiao Cui,

Xuansong Xie,

Changshui Zhang,

Xian-Sheng Hua; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Jinlin and Yao, Yuan and Hou, Wendi and Cui, Miaomiao and Xie, Xuansong and Zhang, Changshui and Hua, Xian-Sheng},
title = {Boosting Semantic Human Matting With Coarse Annotations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions: Han-Jia Ye,

Hexiang Hu,

De-Chuan Zhan,

Fei Sha; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ye_2020_CVPR,
author = {Ye, Han-Jia and Hu, Hexiang and Zhan, De-Chuan and Sha, Fei},
title = {Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification: Wenxuan Wang,

Yanwei Fu,

Xuelin Qian,

Yu-Gang Jiang,

Qi Tian,

Xiangyang Xue; [pdf] [video]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Wenxuan and Fu, Yanwei and Qian, Xuelin and Jiang, Yu-Gang and Tian, Qi and Xue, Xiangyang},
title = {FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Semantic Clustering by Partition Confidence Maximisation: Jiabo Huang,

Shaogang Gong,

Xiatian Zhu; [pdf]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Jiabo and Gong, Shaogang and Zhu, Xiatian},
title = {Deep Semantic Clustering by Partition Confidence Maximisation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Transductive Approach for Video Object Segmentation: Yizhuo Zhang,

Zhirong Wu,

Houwen Peng,

Stephen Lin; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yizhuo and Wu, Zhirong and Peng, Houwen and Lin, Stephen},
title = {A Transductive Approach for Video Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction: Gun-Hee Lee,

Seong-Whan Lee; [pdf]
[bibtex]
@InProceedings{Lee_2020_CVPR,
author = {Lee, Gun-Hee and Lee, Seong-Whan},
title = {Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Object-Occluded Human Shape and Pose Estimation From a Single Color Image: Tianshu Zhang,

Buzhen Huang,

Yangang Wang; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Tianshu and Huang, Buzhen and Wang, Yangang},
title = {Object-Occluded Human Shape and Pose Estimation From a Single Color Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MAST: A Memory-Augmented Self-Supervised Tracker: Zihang Lai,

Erika Lu,

Weidi Xie; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lai_2020_CVPR,
author = {Lai, Zihang and Lu, Erika and Xie, Weidi},
title = {MAST: A Memory-Augmented Self-Supervised Tracker},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Wish You Were Here: Context-Aware Human Generation: Oran Gafni,

Lior Wolf; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gafni_2020_CVPR,
author = {Gafni, Oran and Wolf, Lior},
title = {Wish You Were Here: Context-Aware Human Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attention-Driven Cropping for Very High Resolution Facial Landmark Detection: Prashanth Chandran,

Derek Bradley,

Markus Gross,

Thabo Beeler; [pdf] [supp] [video]
[bibtex]
@InProceedings{Chandran_2020_CVPR,
author = {Chandran, Prashanth and Bradley, Derek and Gross, Markus and Beeler, Thabo},
title = {Attention-Driven Cropping for Very High Resolution Facial Landmark Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting: Zili Yi,

Qiang Tang,

Shekoofeh Azizi,

Daesik Jang,

Zhan Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yi_2020_CVPR,
author = {Yi, Zili and Tang, Qiang and Azizi, Shekoofeh and Jang, Daesik and Xu, Zhan},
title = {Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
StructEdit: Learning Structural Shape Variations: Kaichun Mo,

Paul Guerrero,

Li Yi,

Hao Su,

Peter Wonka,

Niloy J. Mitra,

Leonidas J. Guibas; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mo_2020_CVPR,
author = {Mo, Kaichun and Guerrero, Paul and Yi, Li and Su, Hao and Wonka, Peter and Mitra, Niloy J. and Guibas, Leonidas J.},
title = {StructEdit: Learning Structural Shape Variations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hierarchical Human Parsing With Typed Part-Relation Reasoning: Wenguan Wang,

Hailong Zhu,

Jifeng Dai,

Yanwei Pang,

Jianbing Shen,

Ling Shao; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Wenguan and Zhu, Hailong and Dai, Jifeng and Pang, Yanwei and Shen, Jianbing and Shao, Ling},
title = {Hierarchical Human Parsing With Typed Part-Relation Reasoning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
High-Resolution Daytime Translation Without Domain Labels: Ivan Anokhin,

Pavel Solovev,

Denis Korzhenkov,

Alexey Kharlamov,

Taras Khakhulin,

Aleksei Silvestrov,

Sergey Nikolenko,

Victor Lempitsky,

Gleb Sterkin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Anokhin_2020_CVPR,
author = {Anokhin, Ivan and Solovev, Pavel and Korzhenkov, Denis and Kharlamov, Alexey and Khakhulin, Taras and Silvestrov, Aleksei and Nikolenko, Sergey and Lempitsky, Victor and Sterkin, Gleb},
title = {High-Resolution Daytime Translation Without Domain Labels},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Non-Adversarial Video Synthesis With Learned Priors: Abhishek Aich,

Akash Gupta,

Rameswar Panda,

Rakib Hyder,

M. Salman Asif,

Amit K. Roy-Chowdhury; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Aich_2020_CVPR,
author = {Aich, Abhishek and Gupta, Akash and Panda, Rameswar and Hyder, Rakib and Asif, M. Salman and Roy-Chowdhury, Amit K.},
title = {Non-Adversarial Video Synthesis With Learned Priors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Homography Estimation for Dynamic Scenes: Hoang Le,

Feng Liu,

Shu Zhang,

Aseem Agarwala; [pdf] [arXiv]
[bibtex]
@InProceedings{Le_2020_CVPR,
author = {Le, Hoang and Liu, Feng and Zhang, Shu and Agarwala, Aseem},
title = {Deep Homography Estimation for Dynamic Scenes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints: Michael Strecke,

Jorg Stuckler; [pdf] [supp] [video]
[bibtex]
@InProceedings{Strecke_2020_CVPR,
author = {Strecke, Michael and Stuckler, Jorg},
title = {Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Epipolar Transformers: Yihui He,

Rui Yan,

Katerina Fragkiadaki,

Shoou-I Yu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2020_CVPR,
author = {He, Yihui and Yan, Rui and Fragkiadaki, Katerina and Yu, Shoou-I},
title = {Epipolar Transformers},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Correlating Edge, Pose With Parsing: Ziwei Zhang,

Chi Su,

Liang Zheng,

Xiaodong Xie; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Ziwei and Su, Chi and Zheng, Liang and Xie, Xiaodong},
title = {Correlating Edge, Pose With Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Relative Interior Rule in Block-Coordinate Descent: Tomas Werner,

Daniel Prusa,

Tomas Dlask; [pdf] [supp]
[bibtex]
@InProceedings{Werner_2020_CVPR,
author = {Werner, Tomas and Prusa, Daniel and Dlask, Tomas},
title = {Relative Interior Rule in Block-Coordinate Descent},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Controllable Person Image Synthesis With Attribute-Decomposed GAN: Yifang Men,

Yiming Mao,

Yuning Jiang,

Wei-Ying Ma,

Zhouhui Lian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Men_2020_CVPR,
author = {Men, Yifang and Mao, Yiming and Jiang, Yuning and Ma, Wei-Ying and Lian, Zhouhui},
title = {Controllable Person Image Synthesis With Attribute-Decomposed GAN},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping: Ran Yi,

Yong-Jin Liu,

Yu-Kun Lai,

Paul L. Rosin; [pdf] [supp]
[bibtex]
@InProceedings{Yi_2020_CVPR,
author = {Yi, Ran and Liu, Yong-Jin and Lai, Yu-Kun and Rosin, Paul L.},
title = {Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Advancing High Fidelity Identity Swapping for Forgery Detection: Lingzhi Li,

Jianmin Bao,

Hao Yang,

Dong Chen,

Fang Wen; [pdf]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Lingzhi and Bao, Jianmin and Yang, Hao and Chen, Dong and Wen, Fang},
title = {Advancing High Fidelity Identity Swapping for Forgery Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BachGAN: High-Resolution Image Synthesis From Salient Object Layout: Yandong Li,

Yu Cheng,

Zhe Gan,

Licheng Yu,

Liqiang Wang,

Jingjing Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Yandong and Cheng, Yu and Gan, Zhe and Yu, Licheng and Wang, Liqiang and Liu, Jingjing},
title = {BachGAN: High-Resolution Image Synthesis From Salient Object Layout},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness: Philipp Terhorst,

Jan Niklas Kolf,

Naser Damer,

Florian Kirchbuchner,

Arjan Kuijper; [pdf] [video]
[bibtex]
@InProceedings{Terhorst_2020_CVPR,
author = {Terhorst, Philipp and Kolf, Jan Niklas and Damer, Naser and Kirchbuchner, Florian and Kuijper, Arjan},
title = {SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Globally Optimal Contrast Maximisation for Event-Based Motion Estimation: Daqi Liu,

Alvaro Parra,

Tat-Jun Chin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Daqi and Parra, Alvaro and Chin, Tat-Jun},
title = {Globally Optimal Contrast Maximisation for Event-Based Motion Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks: Jiangke Lin,

Yi Yuan,

Tianjia Shao,

Kun Zhou; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Lin_2020_CVPR,
author = {Lin, Jiangke and Yuan, Yi and Shao, Tianjia and Zhou, Kun},
title = {Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PolyTransform: Deep Polygon Transformer for Instance Segmentation: Justin Liang,

Namdar Homayounfar,

Wei-Chiu Ma,

Yuwen Xiong,

Rui Hu,

Raquel Urtasun; [pdf] [arXiv]
[bibtex]
@InProceedings{Liang_2020_CVPR,
author = {Liang, Justin and Homayounfar, Namdar and Ma, Wei-Chiu and Xiong, Yuwen and Hu, Rui and Urtasun, Raquel},
title = {PolyTransform: Deep Polygon Transformer for Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation: Zeyu Wang,

Klint Qinami,

Ioannis Christos Karakozis,

Kyle Genova,

Prem Nair,

Kenji Hata,

Olga Russakovsky; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Zeyu and Qinami, Klint and Karakozis, Ioannis Christos and Genova, Kyle and Nair, Prem and Hata, Kenji and Russakovsky, Olga},
title = {Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RDCFace: Radial Distortion Correction for Face Recognition: He Zhao,

Xianghua Ying,

Yongjie Shi,

Xin Tong,

Jingsi Wen,

Hongbin Zha; [pdf]
[bibtex]
@InProceedings{Zhao_2020_CVPR,
author = {Zhao, He and Ying, Xianghua and Shi, Yongjie and Tong, Xin and Wen, Jingsi and Zha, Hongbin},
title = {RDCFace: Radial Distortion Correction for Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Dynamic Routing for Semantic Segmentation: Yanwei Li,

Lin Song,

Yukang Chen,

Zeming Li,

Xiangyu Zhang,

Xingang Wang,

Jian Sun; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Yanwei and Song, Lin and Chen, Yukang and Li, Zeming and Zhang, Xiangyu and Wang, Xingang and Sun, Jian},
title = {Learning Dynamic Routing for Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning: Xinshuo Weng,

Yongxin Wang,

Yunze Man,

Kris M. Kitani; [pdf] [video]
[bibtex]
@InProceedings{Weng_2020_CVPR,
author = {Weng, Xinshuo and Wang, Yongxin and Man, Yunze and Kitani, Kris M.},
title = {GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Searching Central Difference Convolutional Networks for Face Anti-Spoofing: Zitong Yu,

Chenxu Zhao,

Zezheng Wang,

Yunxiao Qin,

Zhuo Su,

Xiaobai Li,

Feng Zhou,

Guoying Zhao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2020_CVPR,
author = {Yu, Zitong and Zhao, Chenxu and Wang, Zezheng and Qin, Yunxiao and Su, Zhuo and Li, Xiaobai and Zhou, Feng and Zhao, Guoying},
title = {Searching Central Difference Convolutional Networks for Face Anti-Spoofing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition: Kun Su,

Xiulong Liu,

Eli Shlizerman; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Su_2020_CVPR,
author = {Su, Kun and Liu, Xiulong and Shlizerman, Eli},
title = {PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild: Jiankang Deng,

Jia Guo,

Evangelos Ververas,

Irene Kotsia,

Stefanos Zafeiriou; [pdf] [supp]
[bibtex]
@InProceedings{Deng_2020_CVPR,
author = {Deng, Jiankang and Guo, Jia and Ververas, Evangelos and Kotsia, Irene and Zafeiriou, Stefanos},
title = {RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data: Yuxiao Zhou,

Marc Habermann,

Weipeng Xu,

Ikhsanul Habibie,

Christian Theobalt,

Feng Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Yuxiao and Habermann, Marc and Xu, Weipeng and Habibie, Ikhsanul and Theobalt, Christian and Xu, Feng},
title = {Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning: Mei Wang,

Weihong Deng; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Mei and Deng, Weihong},
title = {Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Single Image Reflection Removal With Physically-Based Training Images: Soomin Kim,

Yuchi Huo,

Sung-Eui Yoon; [pdf] [arXiv]
[bibtex]
@InProceedings{Kim_2020_CVPR,
author = {Kim, Soomin and Huo, Yuchi and Yoon, Sung-Eui},
title = {Single Image Reflection Removal With Physically-Based Training Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Disentangled Image Generation Through Structured Noise Injection: Yazeed Alharbi,

Peter Wonka; [pdf] [arXiv]
[bibtex]
@InProceedings{Alharbi_2020_CVPR,
author = {Alharbi, Yazeed and Wonka, Peter},
title = {Disentangled Image Generation Through Structured Noise Injection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images: Sai Bi,

Zexiang Xu,

Kalyan Sunkavalli,

David Kriegman,

Ravi Ramamoorthi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bi_2020_CVPR,
author = {Bi, Sai and Xu, Zexiang and Sunkavalli, Kalyan and Kriegman, David and Ramamoorthi, Ravi},
title = {Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint: Zhiyuan Dang,

Cheng Deng,

Xu Yang,

Heng Huang; [pdf]
[bibtex]
@InProceedings{Dang_2020_CVPR,
author = {Dang, Zhiyuan and Deng, Cheng and Yang, Xu and Huang, Heng},
title = {Multi-Scale Fusion Subspace Clustering Using Similarity Constraint},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition: Yonghyun Kim,

Wonpyo Park,

Myung-Cheol Roh,

Jongju Shin; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Kim_2020_CVPR,
author = {Kim, Yonghyun and Park, Wonpyo and Roh, Myung-Cheol and Shin, Jongju},
title = {GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Optimize Non-Rigid Tracking: Yang Li,

Aljaz Bozic,

Tianwei Zhang,

Yanli Ji,

Tatsuya Harada,

Matthias Niessner; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Yang and Bozic, Aljaz and Zhang, Tianwei and Ji, Yanli and Harada, Tatsuya and Niessner, Matthias},
title = {Learning to Optimize Non-Rigid Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Weakly Supervised Discriminative Feature Learning With State Information for Person Identification: Hong-Xing Yu,

Wei-Shi Zheng; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Yu_2020_CVPR,
author = {Yu, Hong-Xing and Zheng, Wei-Shi},
title = {Weakly Supervised Discriminative Feature Learning With State Information for Person Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs: You Huang,

Yuanlong Yu; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, You and Yu, Yuanlong},
title = {An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation: Yuheng Li,

Krishna Kumar Singh,

Utkarsh Ojha,

Yong Jae Lee; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Yuheng and Singh, Krishna Kumar and Ojha, Utkarsh and Lee, Yong Jae},
title = {MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification: Dechao Meng,

Liang Li,

Xuejing Liu,

Yadong Li,

Shijie Yang,

Zheng-Jun Zha,

Xingyu Gao,

Shuhui Wang,

Qingming Huang; [pdf] [arXiv]
[bibtex]
@InProceedings{Meng_2020_CVPR,
author = {Meng, Dechao and Li, Liang and Liu, Xuejing and Li, Yadong and Yang, Shijie and Zha, Zheng-Jun and Gao, Xingyu and Wang, Shuhui and Huang, Qingming},
title = {Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PF-Net: Point Fractal Network for 3D Point Cloud Completion: Zitian Huang,

Yikuan Yu,

Jiawen Xu,

Feng Ni,

Xinyi Le; [pdf]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Zitian and Yu, Yikuan and Xu, Jiawen and Ni, Feng and Le, Xinyi},
title = {PF-Net: Point Fractal Network for 3D Point Cloud Completion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Stochastic Classifiers for Unsupervised Domain Adaptation: Zhihe Lu,

Yongxin Yang,

Xiatian Zhu,

Cong Liu,

Yi-Zhe Song,

Tao Xiang; [pdf]
[bibtex]
@InProceedings{Lu_2020_CVPR,
author = {Lu, Zhihe and Yang, Yongxin and Zhu, Xiatian and Liu, Cong and Song, Yi-Zhe and Xiang, Tao},
title = {Stochastic Classifiers for Unsupervised Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks: Maxim Maximov,

Ismail Elezi,

Laura Leal-Taixe; [pdf] [supp]
[bibtex]
@InProceedings{Maximov_2020_CVPR,
author = {Maximov, Maxim and Elezi, Ismail and Leal-Taixe, Laura},
title = {CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hierarchically Robust Representation Learning: Qi Qian,

Juhua Hu,

Hao Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qian_2020_CVPR,
author = {Qian, Qi and Hu, Juhua and Li, Hao},
title = {Hierarchically Robust Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Robust Image Classification Using Sequential Attention Models: Daniel Zoran,

Mike Chrzanowski,

Po-Sen Huang,

Sven Gowal,

Alex Mott,

Pushmeet Kohli; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zoran_2020_CVPR,
author = {Zoran, Daniel and Chrzanowski, Mike and Huang, Po-Sen and Gowal, Sven and Mott, Alex and Kohli, Pushmeet},
title = {Towards Robust Image Classification Using Sequential Attention Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Morphable Face Albedo Model: William A. P. Smith,

Alassane Seck,

Hannah Dee,

Bernard Tiddeman,

Joshua B. Tenenbaum,

Bernhard Egger; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Smith_2020_CVPR,
author = {Smith, William A. P. and Seck, Alassane and Dee, Hannah and Tiddeman, Bernard and Tenenbaum, Joshua B. and Egger, Bernhard},
title = {A Morphable Face Albedo Model},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching: Xuhua Huang,

Jiarui Xu,

Yu-Wing Tai,

Chi-Keung Tang; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Xuhua and Xu, Jiarui and Tai, Yu-Wing and Tang, Chi-Keung},
title = {Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Affinity Graph Supervision for Visual Recognition: Chu Wang,

Babak Samari,

Vladimir G. Kim,

Siddhartha Chaudhuri,

Kaleem Siddiqi; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Chu and Samari, Babak and Kim, Vladimir G. and Chaudhuri, Siddhartha and Siddiqi, Kaleem},
title = {Affinity Graph Supervision for Visual Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distilling Effective Supervision From Severe Label Noise: Zizhao Zhang,

Han Zhang,

Sercan O. Arik,

Honglak Lee,

Tomas Pfister; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Zizhao and Zhang, Han and Arik, Sercan O. and Lee, Honglak and Pfister, Tomas},
title = {Distilling Effective Supervision From Severe Label Noise},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Temporally Distributed Networks for Fast Video Semantic Segmentation: Ping Hu,

Fabian Caba,

Oliver Wang,

Zhe Lin,

Stan Sclaroff,

Federico Perazzi; [pdf] [arXiv]
[bibtex]
@InProceedings{Hu_2020_CVPR,
author = {Hu, Ping and Caba, Fabian and Wang, Oliver and Lin, Zhe and Sclaroff, Stan and Perazzi, Federico},
title = {Temporally Distributed Networks for Fast Video Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Noise Robust Generative Adversarial Networks: Takuhiro Kaneko,

Tatsuya Harada; [pdf]
[bibtex]
@InProceedings{Kaneko_2020_CVPR,
author = {Kaneko, Takuhiro and Harada, Tatsuya},
title = {Noise Robust Generative Adversarial Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data: Aljaz Bozic,

Michael Zollhofer,

Christian Theobalt,

Matthias Niessner; [pdf] [supp] [video]
[bibtex]
@InProceedings{Bozic_2020_CVPR,
author = {Bozic, Aljaz and Zollhofer, Michael and Theobalt, Christian and Niessner, Matthias},
title = {DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Video Stabilization Using Optical Flow: Jiyang Yu,

Ravi Ramamoorthi; [pdf] [supp]
[bibtex]
@InProceedings{Yu_2020_CVPR,
author = {Yu, Jiyang and Ramamoorthi, Ravi},
title = {Learning Video Stabilization Using Optical Flow},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Breaking the Cycle - Colleagues Are All You Need: Ori Nizan,

Ayellet Tal; [pdf] [supp]
[bibtex]
@InProceedings{Nizan_2020_CVPR,
author = {Nizan, Ori and Tal, Ayellet},
title = {Breaking the Cycle - Colleagues Are All You Need},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Circle Loss: A Unified Perspective of Pair Similarity Optimization: Yifan Sun,

Changmao Cheng,

Yuhan Zhang,

Chi Zhang,

Liang Zheng,

Zhongdao Wang,

Yichen Wei; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2020_CVPR,
author = {Sun, Yifan and Cheng, Changmao and Zhang, Yuhan and Zhang, Chi and Zheng, Liang and Wang, Zhongdao and Wei, Yichen},
title = {Circle Loss: A Unified Perspective of Pair Similarity Optimization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Characteristic Function Approach to Deep Implicit Generative Modeling: Abdul Fatir Ansari,

Jonathan Scarlett,

Harold Soh; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ansari_2020_CVPR,
author = {Ansari, Abdul Fatir and Scarlett, Jonathan and Soh, Harold},
title = {A Characteristic Function Approach to Deep Implicit Generative Modeling},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Bayesian Adversarial Human Motion Synthesis: Rui Zhao,

Hui Su,

Qiang Ji; [pdf] [supp]
[bibtex]
@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Rui and Su, Hui and Ji, Qiang},
title = {Bayesian Adversarial Human Motion Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On Positive-Unlabeled Classification in GAN: Tianyu Guo,

Chang Xu,

Jiajun Huang,

Yunhe Wang,

Boxin Shi,

Chao Xu,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Guo_2020_CVPR,
author = {Guo, Tianyu and Xu, Chang and Huang, Jiajun and Wang, Yunhe and Shi, Boxin and Xu, Chao and Tao, Dacheng},
title = {On Positive-Unlabeled Classification in GAN},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking: Junbo Yin,

Wenguan Wang,

Qinghao Meng,

Ruigang Yang,

Jianbing Shen; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Yin_2020_CVPR,
author = {Yin, Junbo and Wang, Wenguan and Meng, Qinghao and Yang, Ruigang and Shen, Jianbing},
title = {A Unified Object Motion and Affinity Model for Online Multi-Object Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Image2StyleGAN++: How to Edit the Embedded Images?: Rameen Abdal,

Yipeng Qin,

Peter Wonka; [pdf] [supp]
[bibtex]
@InProceedings{Abdal_2020_CVPR,
author = {Abdal, Rameen and Qin, Yipeng and Wonka, Peter},
title = {Image2StyleGAN++: How to Edit the Embedded Images?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment: Rui Xiang,

Rongjie Lai,

Hongkai Zhao; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Xiang_2020_CVPR,
author = {Xiang, Rui and Lai, Rongjie and Zhao, Hongkai},
title = {Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation: Yang Zhang,

Zixiang Zhou,

Philip David,

Xiangyu Yue,

Zerong Xi,

Boqing Gong,

Hassan Foroosh; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yang and Zhou, Zixiang and David, Philip and Yue, Xiangyu and Xi, Zerong and Gong, Boqing and Foroosh, Hassan},
title = {PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement: Ho Kei Cheng,

Jihoon Chung,

Yu-Wing Tai,

Chi-Keung Tang; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Ho Kei and Chung, Jihoon and Tai, Yu-Wing and Tang, Chi-Keung},
title = {CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models: Hongyi Xu,

Eduard Gabriel Bazavan,

Andrei Zanfir,

William T. Freeman,

Rahul Sukthankar,

Cristian Sminchisescu; [pdf]
[bibtex]
@InProceedings{Xu_2020_CVPR,
author = {Xu, Hongyi and Bazavan, Eduard Gabriel and Zanfir, Andrei and Freeman, William T. and Sukthankar, Rahul and Sminchisescu, Cristian},
title = {GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Panoptic-Based Image Synthesis: Aysegul Dundar,

Karan Sapra,

Guilin Liu,

Andrew Tao,

Bryan Catanzaro; [pdf] [arXiv]
[bibtex]
@InProceedings{Dundar_2020_CVPR,
author = {Dundar, Aysegul and Sapra, Karan and Liu, Guilin and Tao, Andrew and Catanzaro, Bryan},
title = {Panoptic-Based Image Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unity Style Transfer for Person Re-Identification: Chong Liu,

Xiaojun Chang,

Yi-Dong Shen; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Chong and Chang, Xiaojun and Shen, Yi-Dong},
title = {Unity Style Transfer for Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines: Andre Mateus,

Srikumar Ramalingam,

Pedro Miraldo; [pdf] [supp]
[bibtex]
@InProceedings{Mateus_2020_CVPR,
author = {Mateus, Andre and Ramalingam, Srikumar and Miraldo, Pedro},
title = {Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distilling Knowledge From Graph Convolutional Networks: Yiding Yang,

Jiayan Qiu,

Mingli Song,

Dacheng Tao,

Xinchao Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2020_CVPR,
author = {Yang, Yiding and Qiu, Jiayan and Song, Mingli and Tao, Dacheng and Wang, Xinchao},
title = {Distilling Knowledge From Graph Convolutional Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Oracle Attention for High-Fidelity Face Completion: Tong Zhou,

Changxing Ding,

Shaowen Lin,

Xinchao Wang,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Tong and Ding, Changxing and Lin, Shaowen and Wang, Xinchao and Tao, Dacheng},
title = {Learning Oracle Attention for High-Fidelity Face Completion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining: Yiqun Mei,

Yuchen Fan,

Yuqian Zhou,

Lichao Huang,

Thomas S. Huang,

Honghui Shi; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Mei_2020_CVPR,
author = {Mei, Yiqun and Fan, Yuchen and Zhou, Yuqian and Huang, Lichao and Huang, Thomas S. and Shi, Honghui},
title = {Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On the Regularization Properties of Structured Dropout: Ambar Pal,

Connor Lane,

Rene Vidal,

Benjamin D. Haeffele; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pal_2020_CVPR,
author = {Pal, Ambar and Lane, Connor and Vidal, Rene and Haeffele, Benjamin D.},
title = {On the Regularization Properties of Structured Dropout},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence: Nicolas Donati,

Abhishek Sharma,

Maks Ovsjanikov; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Donati_2020_CVPR,
author = {Donati, Nicolas and Sharma, Abhishek and Ovsjanikov, Maks},
title = {Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning: Xuan Liao,

Wenhao Li,

Qisen Xu,

Xiangfeng Wang,

Bo Jin,

Xiaoyun Zhang,

Yanfeng Wang,

Ya Zhang; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Liao_2020_CVPR,
author = {Liao, Xuan and Li, Wenhao and Xu, Qisen and Wang, Xiangfeng and Jin, Bo and Zhang, Xiaoyun and Wang, Yanfeng and Zhang, Ya},
title = {Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Editing in Style: Uncovering the Local Semantics of GANs: Edo Collins,

Raja Bala,

Bob Price,

Sabine Susstrunk; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Collins_2020_CVPR,
author = {Collins, Edo and Bala, Raja and Price, Bob and Susstrunk, Sabine},
title = {Editing in Style: Uncovering the Local Semantics of GANs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Graduated Filter Method for Large Scale Robust Estimation: Huu Le,

Christopher Zach; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Le_2020_CVPR,
author = {Le, Huu and Zach, Christopher},
title = {A Graduated Filter Method for Large Scale Robust Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Discovering Synchronized Subsets of Sequences: A Large Scale Solution: Evangelos Sariyanidi,

Casey J. Zampella,

Keith G. Bartley,

John D. Herrington,

Theodore D. Satterthwaite,

Robert T. Schultz,

Birkan Tunc; [pdf] [supp]
[bibtex]
@InProceedings{Sariyanidi_2020_CVPR,
author = {Sariyanidi, Evangelos and Zampella, Casey J. and Bartley, Keith G. and Herrington, John D. and Satterthwaite, Theodore D. and Schultz, Robert T. and Tunc, Birkan},
title = {Discovering Synchronized Subsets of Sequences: A Large Scale Solution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DeepCap: Monocular Human Performance Capture Using Weak Supervision: Marc Habermann,

Weipeng Xu,

Michael Zollhofer,

Gerard Pons-Moll,

Christian Theobalt; [pdf] [supp]
[bibtex]
@InProceedings{Habermann_2020_CVPR,
author = {Habermann, Marc and Xu, Weipeng and Zollhofer, Michael and Pons-Moll, Gerard and Theobalt, Christian},
title = {DeepCap: Monocular Human Performance Capture Using Weak Supervision},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Physics-Guided Face Relighting Under Directional Light: Thomas Nestmeyer,

Jean-Francois Lalonde,

Iain Matthews,

Andreas Lehrmann; [pdf] [arXiv]
[bibtex]
@InProceedings{Nestmeyer_2020_CVPR,
author = {Nestmeyer, Thomas and Lalonde, Jean-Francois and Matthews, Iain and Lehrmann, Andreas},
title = {Learning Physics-Guided Face Relighting Under Directional Light},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Representation Learning for Gaze Estimation: Yu Yu,

Jean-Marc Odobez; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2020_CVPR,
author = {Yu, Yu and Odobez, Jean-Marc},
title = {Unsupervised Representation Learning for Gaze Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Better Lossless Compression Using Lossy Compression: Fabian Mentzer,

Luc Van Gool,

Michael Tschannen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mentzer_2020_CVPR,
author = {Mentzer, Fabian and Van Gool, Luc and Tschannen, Michael},
title = {Learning Better Lossless Compression Using Lossy Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives: Duo Li,

Qifeng Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Duo and Chen, Qifeng},
title = {Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation: Lei Zhao,

Qihang Mo,

Sihuan Lin,

Zhizhong Wang,

Zhiwen Zuo,

Haibo Chen,

Wei Xing,

Dongming Lu; [pdf] [video]
[bibtex]
@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Lei and Mo, Qihang and Lin, Sihuan and Wang, Zhizhong and Zuo, Zhiwen and Chen, Haibo and Xing, Wei and Lu, Dongming},
title = {UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Reciprocal Learning Networks for Human Trajectory Prediction: Hao Sun,

Zhiqun Zhao,

Zhihai He; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2020_CVPR,
author = {Sun, Hao and Zhao, Zhiqun and He, Zhihai},
title = {Reciprocal Learning Networks for Human Trajectory Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Universal Representation Learning for Deep Face Recognition: Yichun Shi,

Xiang Yu,

Kihyuk Sohn,

Manmohan Chandraker,

Anil K. Jain; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shi_2020_CVPR,
author = {Shi, Yichun and Yu, Xiang and Sohn, Kihyuk and Chandraker, Manmohan and Jain, Anil K.},
title = {Towards Universal Representation Learning for Deep Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length: Yaqing Ding,

Jian Yang,

Jean Ponce,

Hui Kong; [pdf] [supp] [video]
[bibtex]
@InProceedings{Ding_2020_CVPR,
author = {Ding, Yaqing and Yang, Jian and Ponce, Jean and Kong, Hui},
title = {Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Fair Clustering for Visual Learning: Peizhao Li,

Han Zhao,

Hongfu Liu; [pdf] [supp]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Peizhao and Zhao, Han and Liu, Hongfu},
title = {Deep Fair Clustering for Visual Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition: Yudong Wu,

Yichao Wu,

Ruihao Gong,

Yuanhao Lv,

Ken Chen,

Ding Liang,

Xiaolin Hu,

Xianglong Liu,

Junjie Yan; [pdf]
[bibtex]
@InProceedings{Wu_2020_CVPR,
author = {Wu, Yudong and Wu, Yichao and Gong, Ruihao and Lv, Yuanhao and Chen, Ken and Liang, Ding and Hu, Xiaolin and Liu, Xianglong and Yan, Junjie},
title = {Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation: Jianqiang Wan,

Yang Liu,

Donglai Wei,

Xiang Bai,

Yongchao Xu; [pdf]
[bibtex]
@InProceedings{Wan_2020_CVPR,
author = {Wan, Jianqiang and Liu, Yang and Wei, Donglai and Bai, Xiang and Xu, Yongchao},
title = {Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting: Zhuoqian Yang,

Wentao Zhu,

Wayne Wu,

Chen Qian,

Qiang Zhou,

Bolei Zhou,

Chen Change Loy; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2020_CVPR,
author = {Yang, Zhuoqian and Zhu, Wentao and Wu, Wayne and Qian, Chen and Zhou, Qiang and Zhou, Bolei and Loy, Chen Change},
title = {TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features: Xuyang Bai,

Zixin Luo,

Lei Zhou,

Hongbo Fu,

Long Quan,

Chiew-Lan Tai; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Bai_2020_CVPR,
author = {Bai, Xuyang and Luo, Zixin and Zhou, Lei and Fu, Hongbo and Quan, Long and Tai, Chiew-Lan},
title = {D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Batch Memory for Embedding Learning: Xun Wang,

Haozhi Zhang,

Weilin Huang,

Matthew R. Scott; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Xun and Zhang, Haozhi and Huang, Weilin and Scott, Matthew R.},
title = {Cross-Batch Memory for Embedding Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hierarchical Pyramid Diverse Attention Networks for Face Recognition: Qiangchang Wang,

Tianyi Wu,

He Zheng,

Guodong Guo; [pdf]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Qiangchang and Wu, Tianyi and Zheng, He and Guo, Guodong},
title = {Hierarchical Pyramid Diverse Attention Networks for Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes: Daquan Liu,

Chengjiang Long,

Hongpan Zhang,

Hanning Yu,

Xinzhi Dong,

Chunxia Xiao; [pdf] [supp] [video]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Daquan and Long, Chengjiang and Zhang, Hongpan and Yu, Hanning and Dong, Xinzhi and Xiao, Chunxia},
title = {ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Going Deeper With Lean Point Networks: Eric-Tuan Le,

Iasonas Kokkinos,

Niloy J. Mitra; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Le_2020_CVPR,
author = {Le, Eric-Tuan and Kokkinos, Iasonas and Mitra, Niloy J.},
title = {Going Deeper With Lean Point Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Semantic Image Manipulation Using Scene Graphs: Helisa Dhamo,

Azade Farshad,

Iro Laina,

Nassir Navab,

Gregory D. Hager,

Federico Tombari,

Christian Rupprecht; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dhamo_2020_CVPR,
author = {Dhamo, Helisa and Farshad, Azade and Laina, Iro and Navab, Nassir and Hager, Gregory D. and Tombari, Federico and Rupprecht, Christian},
title = {Semantic Image Manipulation Using Scene Graphs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool: Konstantinos Rematas,

Vittorio Ferrari; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Rematas_2020_CVPR,
author = {Rematas, Konstantinos and Ferrari, Vittorio},
title = {Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
How to Train Your Deep Multi-Object Tracker: Yihong Xu,

Aljosa Osep,

Yutong Ban,

Radu Horaud,

Laura Leal-Taixe,

Xavier Alameda-Pineda; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2020_CVPR,
author = {Xu, Yihong and Osep, Aljosa and Ban, Yutong and Horaud, Radu and Leal-Taixe, Laura and Alameda-Pineda, Xavier},
title = {How to Train Your Deep Multi-Object Tracker},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data: Shichao Li,

Lei Ke,

Kevin Pratama,

Yu-Wing Tai,

Chi-Keung Tang,

Kwang-Ting Cheng; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Shichao and Ke, Lei and Pratama, Kevin and Tai, Yu-Wing and Tang, Chi-Keung and Cheng, Kwang-Ting},
title = {Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
An End-to-End Edge Aggregation Network for Moving Object Segmentation: Prashant W. Patil,

Kuldeep M. Biradar,

Akshay Dudhane,

Subrahmanyam Murala; [pdf]
[bibtex]
@InProceedings{Patil_2020_CVPR,
author = {Patil, Prashant W. and Biradar, Kuldeep M. and Dudhane, Akshay and Murala, Subrahmanyam},
title = {An End-to-End Edge Aggregation Network for Moving Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization: Miao Zhang,

Huiqi Li,

Shirui Pan,

Xiaojun Chang,

Steven Su; [pdf] [video]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Miao and Li, Huiqi and Pan, Shirui and Chang, Xiaojun and Su, Steven},
title = {Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fine-Grained Image-to-Image Transformation Towards Visual Recognition: Wei Xiong,

Yutong He,

Yixuan Zhang,

Wenhan Luo,

Lin Ma,

Jiebo Luo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xiong_2020_CVPR,
author = {Xiong, Wei and He, Yutong and Zhang, Yixuan and Luo, Wenhan and Ma, Lin and Luo, Jiebo},
title = {Fine-Grained Image-to-Image Transformation Towards Visual Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Learning of Pretext-Invariant Representations: Ishan Misra,

Laurens van der Maaten; [pdf] [arXiv]
[bibtex]
@InProceedings{Misra_2020_CVPR,
author = {Misra, Ishan and van der Maaten, Laurens},
title = {Self-Supervised Learning of Pretext-Invariant Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HyperSTAR: Task-Aware Hyperparameters for Deep Networks: Gaurav Mittal,

Chang Liu,

Nikolaos Karianakis,

Victor Fragoso,

Mei Chen,

Yun Fu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mittal_2020_CVPR,
author = {Mittal, Gaurav and Liu, Chang and Karianakis, Nikolaos and Fragoso, Victor and Chen, Mei and Fu, Yun},
title = {HyperSTAR: Task-Aware Hyperparameters for Deep Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deblurring Using Analysis-Synthesis Networks Pair: Adam Kaufman,

Raanan Fattal; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kaufman_2020_CVPR,
author = {Kaufman, Adam and Fattal, Raanan},
title = {Deblurring Using Analysis-Synthesis Networks Pair},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset: Jin Liu,

Shunping Ji; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Jin and Ji, Shunping},
title = {A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Polarization Cues for Transparent Object Segmentation: Agastya Kalra,

Vage Taamazyan,

Supreeth Krishna Rao,

Kartik Venkataraman,

Ramesh Raskar,

Achuta Kadambi; [pdf] [supp]
[bibtex]
@InProceedings{Kalra_2020_CVPR,
author = {Kalra, Agastya and Taamazyan, Vage and Rao, Supreeth Krishna and Venkataraman, Kartik and Raskar, Ramesh and Kadambi, Achuta},
title = {Deep Polarization Cues for Transparent Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GAN Compression: Efficient Architectures for Interactive Conditional GANs: Muyang Li,

Ji Lin,

Yaoyao Ding,

Zhijian Liu,

Jun-Yan Zhu,

Song Han; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Muyang and Lin, Ji and Ding, Yaoyao and Liu, Zhijian and Zhu, Jun-Yan and Han, Song},
title = {GAN Compression: Efficient Architectures for Interactive Conditional GANs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model: Tian Han,

Erik Nijkamp,

Linqi Zhou,

Bo Pang,

Song-Chun Zhu,

Ying Nian Wu; [pdf] [arXiv]
[bibtex]
@InProceedings{Han_2020_CVPR,
author = {Han, Tian and Nijkamp, Erik and Zhou, Linqi and Pang, Bo and Zhu, Song-Chun and Wu, Ying Nian},
title = {Joint Training of Variational Auto-Encoder and Latent Energy-Based Model},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Data-Efficient Semi-Supervised Learning by Reliable Edge Mining: Peibin Chen,

Tao Ma,

Xu Qin,

Weidi Xu,

Shuchang Zhou; [pdf]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Peibin and Ma, Tao and Qin, Xu and Xu, Weidi and Zhou, Shuchang},
title = {Data-Efficient Semi-Supervised Learning by Reliable Edge Mining},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Stylization-Based Architecture for Fast Deep Exemplar Colorization: Zhongyou Xu,

Tingting Wang,

Faming Fang,

Yun Sheng,

Guixu Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Xu_2020_CVPR,
author = {Xu, Zhongyou and Wang, Tingting and Fang, Faming and Sheng, Yun and Zhang, Guixu},
title = {Stylization-Based Architecture for Fast Deep Exemplar Colorization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer: Wentao Jiang,

Si Liu,

Chen Gao,

Jie Cao,

Ran He,

Jiashi Feng,

Shuicheng Yan; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Wentao and Liu, Si and Gao, Chen and Cao, Jie and He, Ran and Feng, Jiashi and Yan, Shuicheng},
title = {PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation: Xia Li,

Yibo Yang,

Qijie Zhao,

Tiancheng Shen,

Zhouchen Lin,

Hong Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Xia and Yang, Yibo and Zhao, Qijie and Shen, Tiancheng and Lin, Zhouchen and Liu, Hong},
title = {Spatial Pyramid Based Graph Reasoning for Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data: Seongwook Yoon,

Sanghoon Sull; [pdf] [video]
[bibtex]
@InProceedings{Yoon_2020_CVPR,
author = {Yoon, Seongwook and Sull, Sanghoon},
title = {GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
When to Use Convolutional Neural Networks for Inverse Problems: Nathaniel Chodosh,

Simon Lucey; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chodosh_2020_CVPR,
author = {Chodosh, Nathaniel and Lucey, Simon},
title = {When to Use Convolutional Neural Networks for Inverse Problems},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Face Video Segmentation via Reinforcement Learning: Yujiang Wang,

Mingzhi Dong,

Jie Shen,

Yang Wu,

Shiyang Cheng,

Maja Pantic; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Yujiang and Dong, Mingzhi and Shen, Jie and Wu, Yang and Cheng, Shiyang and Pantic, Maja},
title = {Dynamic Face Video Segmentation via Reinforcement Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ManiGAN: Text-Guided Image Manipulation: Bowen Li,

Xiaojuan Qi,

Thomas Lukasiewicz,

Philip H.S. Torr; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Bowen and Qi, Xiaojuan and Lukasiewicz, Thomas and Torr, Philip H.S.},
title = {ManiGAN: Text-Guided Image Manipulation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
The GAN That Warped: Semantic Attribute Editing With Unpaired Data: Garoe Dorta,

Sara Vicente,

Neill D. F. Campbell,

Ivor J. A. Simpson; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dorta_2020_CVPR,
author = {Dorta, Garoe and Vicente, Sara and Campbell, Neill D. F. and Simpson, Ivor J. A.},
title = {The GAN That Warped: Semantic Attribute Editing With Unpaired Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Detecting Attended Visual Targets in Video: Eunji Chong,

Yongxin Wang,

Nataniel Ruiz,

James M. Rehg; [pdf] [arXiv] [dataset]
[bibtex]
@InProceedings{Chong_2020_CVPR,
author = {Chong, Eunji and Wang, Yongxin and Ruiz, Nataniel and Rehg, James M.},
title = {Detecting Attended Visual Targets in Video},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Total Deep Variation for Linear Inverse Problems: Erich Kobler,

Alexander Effland,

Karl Kunisch,

Thomas Pock; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kobler_2020_CVPR,
author = {Kobler, Erich and Effland, Alexander and Kunisch, Karl and Pock, Thomas},
title = {Total Deep Variation for Linear Inverse Problems},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Multi-Object Tracking and Segmentation From Automatic Annotations: Lorenzo Porzi,

Markus Hofinger,

Idoia Ruiz,

Joan Serrat,

Samuel Rota Bulo,

Peter Kontschieder; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Porzi_2020_CVPR,
author = {Porzi, Lorenzo and Hofinger, Markus and Ruiz, Idoia and Serrat, Joan and Bulo, Samuel Rota and Kontschieder, Peter},
title = {Learning Multi-Object Tracking and Segmentation From Automatic Annotations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks: Ali Rahmati,

Seyed-Mohsen Moosavi-Dezfooli,

Pascal Frossard,

Huaiyu Dai; [pdf] [supp]
[bibtex]
@InProceedings{Rahmati_2020_CVPR,
author = {Rahmati, Ali and Moosavi-Dezfooli, Seyed-Mohsen and Frossard, Pascal and Dai, Huaiyu},
title = {GeoDA: A Geometric Framework for Black-Box Adversarial Attacks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Semantically Multi-Modal Image Synthesis: Zhen Zhu,

Zhiliang Xu,

Ansheng You,

Xiang Bai; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Zhen and Xu, Zhiliang and You, Ansheng and Bai, Xiang},
title = {Semantically Multi-Modal Image Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Copy and Paste GAN: Face Hallucination From Shaded Thumbnails: Yang Zhang,

Ivor W. Tsang,

Yawei Luo,

Chang-Hui Hu,

Xiaobo Lu,

Xin Yu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yang and Tsang, Ivor W. and Luo, Yawei and Hu, Chang-Hui and Lu, Xiaobo and Yu, Xin},
title = {Copy and Paste GAN: Face Hallucination From Shaded Thumbnails},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Leveraging 2D Data to Learn Textured 3D Mesh Generation: Paul Henderson,

Vagia Tsiminaki,

Christoph H. Lampert; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Henderson_2020_CVPR,
author = {Henderson, Paul and Tsiminaki, Vagia and Lampert, Christoph H.},
title = {Leveraging 2D Data to Learn Textured 3D Mesh Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Bidirectional Graph Reasoning Network for Panoptic Segmentation: Yangxin Wu,

Gengwei Zhang,

Yiming Gao,

Xiajun Deng,

Ke Gong,

Xiaodan Liang,

Liang Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2020_CVPR,
author = {Wu, Yangxin and Zhang, Gengwei and Gao, Yiming and Deng, Xiajun and Gong, Ke and Liang, Xiaodan and Lin, Liang},
title = {Bidirectional Graph Reasoning Network for Panoptic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification: Guan'an Wang,

Shuo Yang,

Huanyu Liu,

Zhicheng Wang,

Yang Yang,

Shuliang Wang,

Gang Yu,

Erjin Zhou,

Jian Sun; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Guan'an and Yang, Shuo and Liu, Huanyu and Wang, Zhicheng and Yang, Yang and Wang, Shuliang and Yu, Gang and Zhou, Erjin and Sun, Jian},
title = {High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Monocular Scene Flow Estimation: Junhwa Hur,

Stefan Roth; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hur_2020_CVPR,
author = {Hur, Junhwa and Roth, Stefan},
title = {Self-Supervised Monocular Scene Flow Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances: Marin Toromanoff,

Emilie Wirbel,

Fabien Moutarde; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Toromanoff_2020_CVPR,
author = {Toromanoff, Marin and Wirbel, Emilie and Moutarde, Fabien},
title = {End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Model Adaptation: Unsupervised Domain Adaptation Without Source Data: Rui Li,

Qianfen Jiao,

Wenming Cao,

Hau-San Wong,

Si Wu; [pdf] [supp]
[bibtex]
@InProceedings{Li_2020_CVPR,
author = {Li, Rui and Jiao, Qianfen and Cao, Wenming and Wong, Hau-San and Wu, Si},
title = {Model Adaptation: Unsupervised Domain Adaptation Without Source Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction: Yong-Qiang Tan,

Shang-Hua Gao,

Xuan-Yi Li,

Ming-Ming Cheng,

Bo Ren; [pdf] [supp] [video]
[bibtex]
@InProceedings{Tan_2020_CVPR,
author = {Tan, Yong-Qiang and Gao, Shang-Hua and Li, Xuan-Yi and Cheng, Ming-Ming and Ren, Bo},
title = {VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Uncertainty Based Camera Model Selection: Michal Polic,

Stanislav Steidl,

Cenek Albl,

Zuzana Kukelova,

Tomas Pajdla; [pdf] [supp]
[bibtex]
@InProceedings{Polic_2020_CVPR,
author = {Polic, Michal and Steidl, Stanislav and Albl, Cenek and Kukelova, Zuzana and Pajdla, Tomas},
title = {Uncertainty Based Camera Model Selection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning a Neural 3D Texture Space From 2D Exemplars: Philipp Henzler,

Niloy J. Mitra,

Tobias Ritschel; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Henzler_2020_CVPR,
author = {Henzler, Philipp and Mitra, Niloy J. and Ritschel, Tobias},
title = {Learning a Neural 3D Texture Space From 2D Exemplars},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Structure-Preserving Super Resolution With Gradient Guidance: Cheng Ma,

Yongming Rao,

Yean Cheng,

Ce Chen,

Jiwen Lu,

Jie Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ma_2020_CVPR,
author = {Ma, Cheng and Rao, Yongming and Cheng, Yean and Chen, Ce and Lu, Jiwen and Zhou, Jie},
title = {Structure-Preserving Super Resolution With Gradient Guidance},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Contours: Learning to Draw Lines From 3D Shapes: Difan Liu,

Mohamed Nabail,

Aaron Hertzmann,

Evangelos Kalogerakis; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2020_CVPR,
author = {Liu, Difan and Nabail, Mohamed and Hertzmann, Aaron and Kalogerakis, Evangelos},
title = {Neural Contours: Learning to Draw Lines From 3D Shapes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
An Efficient PointLSTM for Point Clouds Based Gesture Recognition: Yuecong Min,

Yanxiao Zhang,

Xiujuan Chai,

Xilin Chen; [pdf] [supp]
[bibtex]
@InProceedings{Min_2020_CVPR,
author = {Min, Yuecong and Zhang, Yanxiao and Chai, Xiujuan and Chen, Xilin},
title = {An Efficient PointLSTM for Point Clouds Based Gesture Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SCOUT: Self-Aware Discriminant Counterfactual Explanations: Pei Wang,

Nuno Vasconcelos; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2020_CVPR,
author = {Wang, Pei and Vasconcelos, Nuno},
title = {SCOUT: Self-Aware Discriminant Counterfactual Explanations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds: Mohsen Joneidi,

Saeed Vahidian,

Ashkan Esmaeili,

Weijia Wang,

Nazanin Rahnavard,

Bill Lin,

Mubarak Shah; [pdf] [supp] [video]
[bibtex]
@InProceedings{Joneidi_2020_CVPR,
author = {Joneidi, Mohsen and Vahidian, Saeed and Esmaeili, Ashkan and Wang, Weijia and Rahnavard, Nazanin and Lin, Bill and Shah, Mubarak},
title = {Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content: Han Yang,

Ruimao Zhang,

Xiaobao Guo,

Wei Liu,

Wangmeng Zuo,

Ping Luo; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2020_CVPR,
author = {Yang, Han and Zhang, Ruimao and Guo, Xiaobao and Liu, Wei and Zuo, Wangmeng and Luo, Ping},
title = {Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Phase Consistent Ecological Domain Adaptation: Yanchao Yang,

Dong Lao,

Ganesh Sundaramoorthi,

Stefano Soatto; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2020_CVPR,
author = {Yang, Yanchao and Lao, Dong and Sundaramoorthi, Ganesh and Soatto, Stefano},
title = {Phase Consistent Ecological Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Information-Driven Direct RGB-D Odometry: Alejandro Fontan,

Javier Civera,

Rudolph Triebel; [pdf]
[bibtex]
@InProceedings{Fontan_2020_CVPR,
author = {Fontan, Alejandro and Civera, Javier and Triebel, Rudolph},
title = {Information-Driven Direct RGB-D Odometry},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Single-Side Domain Generalization for Face Anti-Spoofing: Yunpei Jia,

Jie Zhang,

Shiguang Shan,

Xilin Chen; [pdf] [arXiv]
[bibtex]
@InProceedings{Jia_2020_CVPR,
author = {Jia, Yunpei and Zhang, Jie and Shan, Shiguang and Chen, Xilin},
title = {Single-Side Domain Generalization for Face Anti-Spoofing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation: Mariko Isogawa,

Ye Yuan,

Matthew O'Toole,

Kris M. Kitani; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Isogawa_2020_CVPR,
author = {Isogawa, Mariko and Yuan, Ye and O'Toole, Matthew and Kitani, Kris M.},
title = {Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Barycenters of Natural Images Constrained Wasserstein Barycenters for Image Morphing: Dror Simon,

Aviad Aberdam; [pdf] [video]
[bibtex]
@InProceedings{Simon_2020_CVPR,
author = {Simon, Dror and Aberdam, Aviad},
title = {Barycenters of Natural Images Constrained Wasserstein Barycenters for Image Morphing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Future Video Synthesis With Object Motion Prediction: Yue Wu,

Rongrong Gao,

Jaesik Park,

Qifeng Chen; [pdf] [arXiv]
[bibtex]
@InProceedings{Wu_2020_CVPR,
author = {Wu, Yue and Gao, Rongrong and Park, Jaesik and Chen, Qifeng},
title = {Future Video Synthesis With Object Motion Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence: Junsoo Lee,

Eungyeup Kim,

Yunsung Lee,

Dongjun Kim,

Jaehyuk Chang,

Jaegul Choo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2020_CVPR,
author = {Lee, Junsoo and Kim, Eungyeup and Lee, Yunsung and Kim, Dongjun and Chang, Jaehyuk and Choo, Jaegul},
title = {Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Collaborative Motion Prediction via Neural Motion Message Passing: Yue Hu,

Siheng Chen,

Ya Zhang,

Xiao Gu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hu_2020_CVPR,
author = {Hu, Yue and Chen, Siheng and Zhang, Ya and Gu, Xiao},
title = {Collaborative Motion Prediction via Neural Motion Message Passing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization: Bo Chen,

Alvaro Parra,

Jiewei Cao,

Nan Li,

Tat-Jun Chin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Bo and Parra, Alvaro and Cao, Jiewei and Li, Nan and Chin, Tat-Jun},
title = {End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Texture Transformer Network for Image Super-Resolution: Fuzhi Yang,

Huan Yang,

Jianlong Fu,

Hongtao Lu,

Baining Guo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2020_CVPR,
author = {Yang, Fuzhi and Yang, Huan and Fu, Jianlong and Lu, Hongtao and Guo, Baining},
title = {Learning Texture Transformer Network for Image Super-Resolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning: Shuai Zheng,

Zhenfeng Zhu,

Xingxing Zhang,

Zhizhe Liu,

Jian Cheng,

Yao Zhao; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Shuai and Zhu, Zhenfeng and Zhang, Xingxing and Liu, Zhizhe and Cheng, Jian and Zhao, Yao},
title = {Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Benchmarking the Robustness of Semantic Segmentation Models: Christoph Kamann,

Carsten Rother; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kamann_2020_CVPR,
author = {Kamann, Christoph and Rother, Carsten},
title = {Benchmarking the Robustness of Semantic Segmentation Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Local Implicit Grid Representations for 3D Scenes: Chiyu "Max" Jiang,

Avneesh Sud,

Ameesh Makadia,

Jingwei Huang,

Matthias Niessner,

Thomas Funkhouser; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Chiyu "Max" and Sud, Avneesh and Makadia, Ameesh and Huang, Jingwei and Niessner, Matthias and Funkhouser, Thomas},
title = {Local Implicit Grid Representations for 3D Scenes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deformable Siamese Attention Networks for Visual Object Tracking: Yuechen Yu,

Yilei Xiong,

Weilin Huang,

Matthew R. Scott; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2020_CVPR,
author = {Yu, Yuechen and Xiong, Yilei and Huang, Weilin and Scott, Matthew R.},
title = {Deformable Siamese Attention Networks for Visual Object Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Video Object Segmentation From Unlabeled Videos: Xiankai Lu,

Wenguan Wang,

Jianbing Shen,

Yu-Wing Tai,

David J. Crandall,

Steven C. H. Hoi; [pdf] [arXiv]
[bibtex]
@InProceedings{Lu_2020_CVPR,
author = {Lu, Xiankai and Wang, Wenguan and Shen, Jianbing and Tai, Yu-Wing and Crandall, David J. and Hoi, Steven C. H.},
title = {Learning Video Object Segmentation From Unlabeled Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ScopeFlow: Dynamic Scene Scoping for Optical Flow: Aviram Bar-Haim,

Lior Wolf; [pdf] [supp]
[bibtex]
@InProceedings{Bar-Haim_2020_CVPR,
author = {Bar-Haim, Aviram and Wolf, Lior},
title = {ScopeFlow: Dynamic Scene Scoping for Optical Flow},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Context-Aware Human Motion Prediction: Enric Corona,

Albert Pumarola,

Guillem Alenya,

Francesc Moreno-Noguer; [pdf] [arXiv]
[bibtex]
@InProceedings{Corona_2020_CVPR,
author = {Corona, Enric and Pumarola, Albert and Alenya, Guillem and Moreno-Noguer, Francesc},
title = {Context-Aware Human Motion Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis: Shuchen Weng,

Wenbo Li,

Dawei Li,

Hongxia Jin,

Boxin Shi; [pdf]
[bibtex]
@InProceedings{Weng_2020_CVPR,
author = {Weng, Shuchen and Li, Wenbo and Li, Dawei and Jin, Hongxia and Shi, Boxin},
title = {MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation: Dwarikanath Mahapatra,

Behzad Bozorgtabar,

Ling Shao; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Mahapatra_2020_CVPR,
author = {Mahapatra, Dwarikanath and Bozorgtabar, Behzad and Shao, Ling},
title = {Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Filter Grafting for Deep Neural Networks: Fanxu Meng,

Hao Cheng,

Ke Li,

Zhixin Xu,

Rongrong Ji,

Xing Sun,

Guangming Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Meng_2020_CVPR,
author = {Meng, Fanxu and Cheng, Hao and Li, Ke and Xu, Zhixin and Ji, Rongrong and Sun, Xing and Lu, Guangming},
title = {Filter Grafting for Deep Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Intuitive, Interactive Beard and Hair Synthesis With Generative Models: Kyle Olszewski,

Duygu Ceylan,

Jun Xing,

Jose Echevarria,

Zhili Chen,

Weikai Chen,

Hao Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Olszewski_2020_CVPR,
author = {Olszewski, Kyle and Ceylan, Duygu and Xing, Jun and Echevarria, Jose and Chen, Zhili and Chen, Weikai and Li, Hao},
title = {Intuitive, Interactive Beard and Hair Synthesis With Generative Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Global Optimality for Point Set Registration Using Semidefinite Programming: Jose Pedro Iglesias,

Carl Olsson,

Fredrik Kahl; [pdf] [video]
[bibtex]
@InProceedings{Iglesias_2020_CVPR,
author = {Iglesias, Jose Pedro and Olsson, Carl and Kahl, Fredrik},
title = {Global Optimality for Point Set Registration Using Semidefinite Programming},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking: Yanru Huang,

Feiyu Zhu,

Zheni Zeng,

Xi Qiu,

Yuan Shen,

Jianan Wu; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Yanru and Zhu, Feiyu and Zeng, Zheni and Qiu, Xi and Shen, Yuan and Wu, Jianan},
title = {SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling: Xu Yan,

Chaoda Zheng,

Zhen Li,

Sheng Wang,

Shuguang Cui; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Yan_2020_CVPR,
author = {Yan, Xu and Zheng, Chaoda and Li, Zhen and Wang, Sheng and Cui, Shuguang},
title = {PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Minimizing Discrete Total Curvature for Image Processing: Qiuxiang Zhong,

Yutong Li,

Yijie Yang,

Yuping Duan; [pdf]
[bibtex]
@InProceedings{Zhong_2020_CVPR,
author = {Zhong, Qiuxiang and Li, Yutong and Yang, Yijie and Duan, Yuping},
title = {Minimizing Discrete Total Curvature for Image Processing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Learning of Intrinsic Structural Representation Points: Nenglun Chen,

Lingjie Liu,

Zhiming Cui,

Runnan Chen,

Duygu Ceylan,

Changhe Tu,

Wenping Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2020_CVPR,
author = {Chen, Nenglun and Liu, Lingjie and Cui, Zhiming and Chen, Runnan and Ceylan, Duygu and Tu, Changhe and Wang, Wenping},
title = {Unsupervised Learning of Intrinsic Structural Representation Points},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision: Denis Gudovskiy,

Alec Hodgkinson,

Takuya Yamaguchi,

Sotaro Tsukizawa; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Gudovskiy_2020_CVPR,
author = {Gudovskiy, Denis and Hodgkinson, Alec and Yamaguchi, Takuya and Tsukizawa, Sotaro},
title = {Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FGN: Fully Guided Network for Few-Shot Instance Segmentation: Zhibo Fan,

Jin-Gang Yu,

Zhihao Liang,

Jiarong Ou,

Changxin Gao,

Gui-Song Xia,

Yuanqing Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Fan_2020_CVPR,
author = {Fan, Zhibo and Yu, Jin-Gang and Liang, Zhihao and Ou, Jiarong and Gao, Changxin and Xia, Gui-Song and Li, Yuanqing},
title = {FGN: Fully Guided Network for Few-Shot Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes: Jonas Schult,

Francis Engelmann,

Theodora Kontogianni,

Bastian Leibe; [pdf] [supp]
[bibtex]
@InProceedings{Schult_2020_CVPR,
author = {Schult, Jonas and Engelmann, Francis and Kontogianni, Theodora and Leibe, Bastian},
title = {DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing: Joel Stehouwer,

Amin Jourabloo,

Yaojie Liu,

Xiaoming Liu; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Stehouwer_2020_CVPR,
author = {Stehouwer, Joel and Jourabloo, Amin and Liu, Yaojie and Liu, Xiaoming},
title = {Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
An Investigation Into the Stochasticity of Batch Whitening: Lei Huang,

Lei Zhao,

Yi Zhou,

Fan Zhu,

Li Liu,

Ling Shao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2020_CVPR,
author = {Huang, Lei and Zhao, Lei and Zhou, Yi and Zhu, Fan and Liu, Li and Shao, Ling},
title = {An Investigation Into the Stochasticity of Batch Whitening},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
VIBE: Video Inference for Human Body Pose and Shape Estimation: Muhammed Kocabas,

Nikos Athanasiou,

Michael J. Black; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kocabas_2020_CVPR,
author = {Kocabas, Muhammed and Athanasiou, Nikos and Black, Michael J.},
title = {VIBE: Video Inference for Human Body Pose and Shape Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}