CVPR 2019 Open Access Repository

Papers

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Finding Task-Relevant Features for Few-Shot Learning by Category Traversal: Hongyang Li,

David Eigen,

Samuel Dodge,

Matthew Zeiler,

Xiaogang Wang; [pdf] [video]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Hongyang and Eigen, David and Dodge, Samuel and Zeiler, Matthew and Wang, Xiaogang},
title = {Finding Task-Relevant Features for Few-Shot Learning by Category Traversal},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Edge-Labeling Graph Neural Network for Few-Shot Learning: Jongmin Kim,

Taesup Kim,

Sungwoong Kim,

Chang D. Yoo; [pdf] [video]
[bibtex]
@InProceedings{Kim_2019_CVPR,
author = {Kim, Jongmin and Kim, Taesup and Kim, Sungwoong and Yoo, Chang D.},
title = {Edge-Labeling Graph Neural Network for Few-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning: Spyros Gidaris,

Nikos Komodakis; [pdf] [video]
[bibtex]
@InProceedings{Gidaris_2019_CVPR,
author = {Gidaris, Spyros and Komodakis, Nikos},
title = {Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Kervolutional Neural Networks: Chen Wang,

Jianfei Yang,

Lihua Xie,

Junsong Yuan; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Chen and Yang, Jianfei and Xie, Lihua and Yuan, Junsong},
title = {Kervolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem: Matthias Hein,

Maksym Andriushchenko,

Julian Bitterwolf; [pdf] [supp] [video]
[bibtex]
@InProceedings{Hein_2019_CVPR,
author = {Hein, Matthias and Andriushchenko, Maksym and Bitterwolf, Julian},
title = {Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions: Yusuke Tsuzuku,

Issei Sato; [pdf] [supp] [video]
[bibtex]
@InProceedings{Tsuzuku_2019_CVPR,
author = {Tsuzuku, Yusuke and Sato, Issei},
title = {On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization: Siyuan Qiao,

Zhe Lin,

Jianming Zhang,

Alan L. Yuille; [pdf] [video]
[bibtex]
@InProceedings{Qiao_2019_CVPR,
author = {Qiao, Siyuan and Lin, Zhe and Zhang, Jianming and Yuille, Alan L.},
title = {Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hardness-Aware Deep Metric Learning: Wenzhao Zheng,

Zhaodong Chen,

Jiwen Lu,

Jie Zhou; [pdf] [video]
[bibtex]
@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Wenzhao and Chen, Zhaodong and Lu, Jiwen and Zhou, Jie},
title = {Hardness-Aware Deep Metric Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation: Chenxi Liu,

Liang-Chieh Chen,

Florian Schroff,

Hartwig Adam,

Wei Hua,

Alan L. Yuille,

Li Fei-Fei; [pdf] [video]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Chenxi and Chen, Liang-Chieh and Schroff, Florian and Adam, Hartwig and Hua, Wei and Yuille, Alan L. and Fei-Fei, Li},
title = {Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Loss for Active Learning: Donggeun Yoo,

In So Kweon; [pdf] [supp] [video]
[bibtex]
@InProceedings{Yoo_2019_CVPR,
author = {Yoo, Donggeun and Kweon, In So},
title = {Learning Loss for Active Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Striking the Right Balance With Uncertainty: Salman Khan,

Munawar Hayat,

Syed Waqas Zamir,

Jianbing Shen,

Ling Shao; [pdf] [video]
[bibtex]
@InProceedings{Khan_2019_CVPR,
author = {Khan, Salman and Hayat, Munawar and Zamir, Syed Waqas and Shen, Jianbing and Shao, Ling},
title = {Striking the Right Balance With Uncertainty},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AutoAugment: Learning Augmentation Strategies From Data: Ekin D. Cubuk,

Barret Zoph,

Dandelion Mane,

Vijay Vasudevan,

Quoc V. Le; [pdf] [supp] [video]
[bibtex]
@InProceedings{Cubuk_2019_CVPR,
author = {Cubuk, Ekin D. and Zoph, Barret and Mane, Dandelion and Vasudevan, Vijay and Le, Quoc V.},
title = {AutoAugment: Learning Augmentation Strategies From Data},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences: Huu M. Le,

Thanh-Toan Do,

Tuan Hoang,

Ngai-Man Cheung; [pdf] [supp]
[bibtex]
@InProceedings{Le_2019_CVPR,
author = {Le, Huu M. and Do, Thanh-Toan and Hoang, Tuan and Cheung, Ngai-Man},
title = {SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
BAD SLAM: Bundle Adjusted Direct RGB-D SLAM: Thomas Schops,

Torsten Sattler,

Marc Pollefeys; [pdf] [supp] [video]
[bibtex]
@InProceedings{Schops_2019_CVPR,
author = {Schops, Thomas and Sattler, Torsten and Pollefeys, Marc},
title = {BAD SLAM: Bundle Adjusted Direct RGB-D SLAM},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Revealing Scenes by Inverting Structure From Motion Reconstructions: Francesco Pittaluga,

Sanjeev J. Koppal,

Sing Bing Kang,

Sudipta N. Sinha; [pdf] [supp] [video]
[bibtex]
@InProceedings{Pittaluga_2019_CVPR,
author = {Pittaluga, Francesco and Koppal, Sanjeev J. and Kang, Sing Bing and Sinha, Sudipta N.},
title = {Revealing Scenes by Inverting Structure From Motion Reconstructions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Strand-Accurate Multi-View Hair Capture: Giljoo Nam,

Chenglei Wu,

Min H. Kim,

Yaser Sheikh; [pdf] [video]
[bibtex]
@InProceedings{Nam_2019_CVPR,
author = {Nam, Giljoo and Wu, Chenglei and Kim, Min H. and Sheikh, Yaser},
title = {Strand-Accurate Multi-View Hair Capture},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation: Jeong Joon Park,

Peter Florence,

Julian Straub,

Richard Newcombe,

Steven Lovegrove; [pdf] [supp] [video]
[bibtex]
@InProceedings{Park_2019_CVPR,
author = {Park, Jeong Joon and Florence, Peter and Straub, Julian and Newcombe, Richard and Lovegrove, Steven},
title = {DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pushing the Boundaries of View Extrapolation With Multiplane Images: Pratul P. Srinivasan,

Richard Tucker,

Jonathan T. Barron,

Ravi Ramamoorthi,

Ren Ng,

Noah Snavely; [pdf] [supp] [video]
[bibtex]
@InProceedings{Srinivasan_2019_CVPR,
author = {Srinivasan, Pratul P. and Tucker, Richard and Barron, Jonathan T. and Ramamoorthi, Ravi and Ng, Ren and Snavely, Noah},
title = {Pushing the Boundaries of View Extrapolation With Multiplane Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GA-Net: Guided Aggregation Net for End-To-End Stereo Matching: Feihu Zhang,

Victor Prisacariu,

Ruigang Yang,

Philip H.S. Torr; [pdf] [video]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Feihu and Prisacariu, Victor and Yang, Ruigang and Torr, Philip H.S.},
title = {GA-Net: Guided Aggregation Net for End-To-End Stereo Matching},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Real-Time Self-Adaptive Deep Stereo: Alessio Tonioni,

Fabio Tosi,

Matteo Poggi,

Stefano Mattoccia,

Luigi Di Stefano; [pdf] [supp] [video]
[bibtex]
@InProceedings{Tonioni_2019_CVPR,
author = {Tonioni, Alessio and Tosi, Fabio and Poggi, Matteo and Mattoccia, Stefano and Stefano, Luigi Di},
title = {Real-Time Self-Adaptive Deep Stereo},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation: Sunok Kim,

Seungryong Kim,

Dongbo Min,

Kwanghoon Sohn; [pdf] [video]
[bibtex]
@InProceedings{Kim_2019_CVPR,
author = {Kim, Sunok and Kim, Seungryong and Min, Dongbo and Sohn, Kwanghoon},
title = {LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences: Chen Zhao,

Zhiguo Cao,

Chi Li,

Xin Li,

Jiaqi Yang; [pdf] [video]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Chen and Cao, Zhiguo and Li, Chi and Li, Xin and Yang, Jiaqi},
title = {NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry: Matthew Trager,

Martial Hebert,

Jean Ponce; [pdf] [supp] [video]
[bibtex]
@InProceedings{Trager_2019_CVPR,
author = {Trager, Matthew and Hebert, Martial and Ponce, Jean},
title = {Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image: Xiaoguang Han,

Zhaoxuan Zhang,

Dong Du,

Mingdai Yang,

Jingming Yu,

Pan Pan,

Xin Yang,

Ligang Liu,

Zixiang Xiong,

Shuguang Cui; [pdf] [video]
[bibtex]
@InProceedings{Han_2019_CVPR,
author = {Han, Xiaoguang and Zhang, Zhaoxuan and Du, Dong and Yang, Mingdai and Yu, Jingming and Pan, Pan and Yang, Xin and Liu, Ligang and Xiong, Zixiang and Cui, Shuguang},
title = {Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Video Action Transformer Network: Rohit Girdhar,

Joao Carreira,

Carl Doersch,

Andrew Zisserman; [pdf] [video]
[bibtex]
@InProceedings{Girdhar_2019_CVPR,
author = {Girdhar, Rohit and Carreira, Joao and Doersch, Carl and Zisserman, Andrew},
title = {Video Action Transformer Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Timeception for Complex Action Recognition: Noureldien Hussein,

Efstratios Gavves,

Arnold W.M. Smeulders; [pdf] [video]
[bibtex]
@InProceedings{Hussein_2019_CVPR,
author = {Hussein, Noureldien and Gavves, Efstratios and Smeulders, Arnold W.M.},
title = {Timeception for Complex Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
STEP: Spatio-Temporal Progressive Learning for Video Action Detection: Xitong Yang,

Xiaodong Yang,

Ming-Yu Liu,

Fanyi Xiao,

Larry S. Davis,

Jan Kautz; [pdf] [supp] [video]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Xitong and Yang, Xiaodong and Liu, Ming-Yu and Xiao, Fanyi and Davis, Larry S. and Kautz, Jan},
title = {STEP: Spatio-Temporal Progressive Learning for Video Action Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Relational Action Forecasting: Chen Sun,

Abhinav Shrivastava,

Carl Vondrick,

Rahul Sukthankar,

Kevin Murphy,

Cordelia Schmid; [pdf] [video]
[bibtex]
@InProceedings{Sun_2019_CVPR,
author = {Sun, Chen and Shrivastava, Abhinav and Vondrick, Carl and Sukthankar, Rahul and Murphy, Kevin and Schmid, Cordelia},
title = {Relational Action Forecasting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Long-Term Feature Banks for Detailed Video Understanding: Chao-Yuan Wu,

Christoph Feichtenhofer,

Haoqi Fan,

Kaiming He,

Philipp Krahenbuhl,

Ross Girshick; [pdf] [supp] [video]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Chao-Yuan and Feichtenhofer, Christoph and Fan, Haoqi and He, Kaiming and Krahenbuhl, Philipp and Girshick, Ross},
title = {Long-Term Feature Banks for Detailed Video Understanding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes: Yuke Li; [pdf] [supp] [video]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yuke},
title = {Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment: Paritosh Parmar,

Brendan Tran Morris; [pdf] [video]
[bibtex]
@InProceedings{Parmar_2019_CVPR,
author = {Parmar, Paritosh and Morris, Brendan Tran},
title = {What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation: Shuangjie Xu,

Daizong Liu,

Linchao Bao,

Wei Liu,

Pan Zhou; [pdf] [video]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Shuangjie and Liu, Daizong and Bao, Linchao and Liu, Wei and Zhou, Pan},
title = {MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
2.5D Visual Sound: Ruohan Gao,

Kristen Grauman; [pdf] [video]
[bibtex]
@InProceedings{Gao_2019_CVPR,
author = {Gao, Ruohan and Grauman, Kristen},
title = {2.5D Visual Sound},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model: Weining Wang,

Yan Huang,

Liang Wang; [pdf] [video]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Weining and Huang, Yan and Wang, Liang},
title = {Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Gaussian Temporal Awareness Networks for Action Localization: Fuchen Long,

Ting Yao,

Zhaofan Qiu,

Xinmei Tian,

Jiebo Luo,

Tao Mei; [pdf] [video]
[bibtex]
@InProceedings{Long_2019_CVPR,
author = {Long, Fuchen and Yao, Ting and Qiu, Zhaofan and Tian, Xinmei and Luo, Jiebo and Mei, Tao},
title = {Gaussian Temporal Awareness Networks for Action Localization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Efficient Video Classification Using Fewer Frames: Shweta Bhardwaj,

Mukundhan Srinivasan,

Mitesh M. Khapra; [pdf] [supp] [video]
[bibtex]
@InProceedings{Bhardwaj_2019_CVPR,
author = {Bhardwaj, Shweta and Srinivasan, Mukundhan and Khapra, Mitesh M.},
title = {Efficient Video Classification Using Fewer Frames},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Parsing R-CNN for Instance-Level Human Analysis: Lu Yang,

Qing Song,

Zhihui Wang,

Ming Jiang; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Lu and Song, Qing and Wang, Zhihui and Jiang, Ming},
title = {Parsing R-CNN for Instance-Level Human Analysis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Large Scale Incremental Learning: Yue Wu,

Yinpeng Chen,

Lijuan Wang,

Yuancheng Ye,

Zicheng Liu,

Yandong Guo,

Yun Fu; [pdf]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Yue and Chen, Yinpeng and Wang, Lijuan and Ye, Yuancheng and Liu, Zicheng and Guo, Yandong and Fu, Yun},
title = {Large Scale Incremental Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
TopNet: Structural Point Cloud Decoder: Lyne P. Tchapmi,

Vineet Kosaraju,

Hamid Rezatofighi,

Ian Reid,

Silvio Savarese; [pdf] [supp]
[bibtex]
@InProceedings{Tchapmi_2019_CVPR,
author = {Tchapmi, Lyne P. and Kosaraju, Vineet and Rezatofighi, Hamid and Reid, Ian and Savarese, Silvio},
title = {TopNet: Structural Point Cloud Decoder},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification: Yifan Sun,

Qin Xu,

Yali Li,

Chi Zhang,

Yikang Li,

Shengjin Wang,

Jian Sun; [pdf]
[bibtex]
@InProceedings{Sun_2019_CVPR,
author = {Sun, Yifan and Xu, Qin and Li, Yali and Zhang, Chi and Li, Yikang and Wang, Shengjin and Sun, Jian},
title = {Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Meta-Transfer Learning for Few-Shot Learning: Qianru Sun,

Yaoyao Liu,

Tat-Seng Chua,

Bernt Schiele; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2019_CVPR,
author = {Sun, Qianru and Liu, Yaoyao and Chua, Tat-Seng and Schiele, Bernt},
title = {Meta-Transfer Learning for Few-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation: Bohan Zhuang,

Chunhua Shen,

Mingkui Tan,

Lingqiao Liu,

Ian Reid; [pdf] [supp]
[bibtex]
@InProceedings{Zhuang_2019_CVPR,
author = {Zhuang, Bohan and Shen, Chunhua and Tan, Mingkui and Liu, Lingqiao and Reid, Ian},
title = {Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep RNN Framework for Visual Sequential Applications: Bo Pang,

Kaiwen Zha,

Hanwen Cao,

Chen Shi,

Cewu Lu; [pdf]
[bibtex]
@InProceedings{Pang_2019_CVPR,
author = {Pang, Bo and Zha, Kaiwen and Cao, Hanwen and Shi, Chen and Lu, Cewu},
title = {Deep RNN Framework for Visual Sequential Applications},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Graph-Based Global Reasoning Networks: Yunpeng Chen,

Marcus Rohrbach,

Zhicheng Yan,

Yan Shuicheng,

Jiashi Feng,

Yannis Kalantidis; [pdf]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Yunpeng and Rohrbach, Marcus and Yan, Zhicheng and Shuicheng, Yan and Feng, Jiashi and Kalantidis, Yannis},
title = {Graph-Based Global Reasoning Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SSN: Learning Sparse Switchable Normalization via SparsestMax: Wenqi Shao,

Tianjian Meng,

Jingyu Li,

Ruimao Zhang,

Yudian Li,

Xiaogang Wang,

Ping Luo; [pdf]
[bibtex]
@InProceedings{Shao_2019_CVPR,
author = {Shao, Wenqi and Meng, Tianjian and Li, Jingyu and Zhang, Ruimao and Li, Yudian and Wang, Xiaogang and Luo, Ping},
title = {SSN: Learning Sparse Switchable Normalization via SparsestMax},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition: Yongming Rao,

Jiwen Lu,

Jie Zhou; [pdf] [supp]
[bibtex]
@InProceedings{Rao_2019_CVPR,
author = {Rao, Yongming and Lu, Jiwen and Zhou, Jie},
title = {Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Generate Synthetic Data via Compositing: Shashank Tripathi,

Siddhartha Chandra,

Amit Agrawal,

Ambrish Tyagi,

James M. Rehg,

Visesh Chari; [pdf] [supp]
[bibtex]
@InProceedings{Tripathi_2019_CVPR,
author = {Tripathi, Shashank and Chandra, Siddhartha and Agrawal, Amit and Tyagi, Ambrish and Rehg, James M. and Chari, Visesh},
title = {Learning to Generate Synthetic Data via Compositing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Divide and Conquer the Embedding Space for Metric Learning: Artsiom Sanakoyeu,

Vadim Tschernezki,

Uta Buchler,

Bjorn Ommer; [pdf] [supp]
[bibtex]
@InProceedings{Sanakoyeu_2019_CVPR,
author = {Sanakoyeu, Artsiom and Tschernezki, Vadim and Buchler, Uta and Ommer, Bjorn},
title = {Divide and Conquer the Embedding Space for Metric Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Latent Space Autoregression for Novelty Detection: Davide Abati,

Angelo Porrello,

Simone Calderara,

Rita Cucchiara; [pdf] [supp]
[bibtex]
@InProceedings{Abati_2019_CVPR,
author = {Abati, Davide and Porrello, Angelo and Calderara, Simone and Cucchiara, Rita},
title = {Latent Space Autoregression for Novelty Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attending to Discriminative Certainty for Domain Adaptation: Vinod Kumar Kurmi,

Shanu Kumar,

Vinay P. Namboodiri; [pdf] [supp]
[bibtex]
@InProceedings{Kurmi_2019_CVPR,
author = {Kurmi, Vinod Kumar and Kumar, Shanu and Namboodiri, Vinay P.},
title = {Attending to Discriminative Certainty for Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Feature Denoising for Improving Adversarial Robustness: Cihang Xie,

Yuxin Wu,

Laurens van der Maaten,

Alan L. Yuille,

Kaiming He; [pdf]
[bibtex]
@InProceedings{Xie_2019_CVPR,
author = {Xie, Cihang and Wu, Yuxin and Maaten, Laurens van der and Yuille, Alan L. and He, Kaiming},
title = {Feature Denoising for Improving Adversarial Robustness},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Selective Kernel Networks: Xiang Li,

Wenhai Wang,

Xiaolin Hu,

Jian Yang; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Xiang and Wang, Wenhai and Hu, Xiaolin and Yang, Jian},
title = {Selective Kernel Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
On Implicit Filter Level Sparsity in Convolutional Neural Networks: Dushyant Mehta,

Kwang In Kim,

Christian Theobalt; [pdf] [supp]
[bibtex]
@InProceedings{Mehta_2019_CVPR,
author = {Mehta, Dushyant and Kim, Kwang In and Theobalt, Christian},
title = {On Implicit Filter Level Sparsity in Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FlowNet3D: Learning Scene Flow in 3D Point Clouds: Xingyu Liu,

Charles R. Qi,

Leonidas J. Guibas; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Xingyu and Qi, Charles R. and Guibas, Leonidas J.},
title = {FlowNet3D: Learning Scene Flow in 3D Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks: Kuan Fang,

Alexander Toshev,

Li Fei-Fei,

Silvio Savarese; [pdf] [supp]
[bibtex]
@InProceedings{Fang_2019_CVPR,
author = {Fang, Kuan and Toshev, Alexander and Fei-Fei, Li and Savarese, Silvio},
title = {Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Co-Occurrent Features in Semantic Segmentation: Hang Zhang,

Han Zhang,

Chenguang Wang,

Junyuan Xie; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Hang and Zhang, Han and Wang, Chenguang and Xie, Junyuan},
title = {Co-Occurrent Features in Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bag of Tricks for Image Classification with Convolutional Neural Networks: Tong He,

Zhi Zhang,

Hang Zhang,

Zhongyue Zhang,

Junyuan Xie,

Mu Li; [pdf]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Tong and Zhang, Zhi and Zhang, Hang and Zhang, Zhongyue and Xie, Junyuan and Li, Mu},
title = {Bag of Tricks for Image Classification with Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks: Ziwei Wang,

Jiwen Lu,

Chenxin Tao,

Jie Zhou,

Qi Tian; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Ziwei and Lu, Jiwen and Tao, Chenxin and Zhou, Jie and Tian, Qi},
title = {Learning Channel-Wise Interactions for Binary Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Knowledge Adaptation for Efficient Semantic Segmentation: Tong He,

Chunhua Shen,

Zhi Tian,

Dong Gong,

Changming Sun,

Youliang Yan; [pdf]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Tong and Shen, Chunhua and Tian, Zhi and Gong, Dong and Sun, Changming and Yan, Youliang},
title = {Knowledge Adaptation for Efficient Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack: Zhezhi He,

Adnan Siraj Rakin,

Deliang Fan; [pdf] [supp]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Zhezhi and Rakin, Adnan Siraj and Fan, Deliang},
title = {Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification: Zhun Zhong,

Liang Zheng,

Zhiming Luo,

Shaozi Li,

Yi Yang; [pdf]
[bibtex]
@InProceedings{Zhong_2019_CVPR,
author = {Zhong, Zhun and Zheng, Liang and Luo, Zhiming and Li, Shaozi and Yang, Yi},
title = {Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dissecting Person Re-Identification From the Viewpoint of Viewpoint: Xiaoxiao Sun,

Liang Zheng; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2019_CVPR,
author = {Sun, Xiaoxiao and Zheng, Liang},
title = {Dissecting Person Re-Identification From the Viewpoint of Viewpoint},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification: Zhixiang Wang,

Zheng Wang,

Yinqiang Zheng,

Yung-Yu Chuang,

Shin'ichi Satoh; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Zhixiang and Wang, Zheng and Zheng, Yinqiang and Chuang, Yung-Yu and Satoh, Shin'ichi},
title = {Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Progressive Feature Alignment for Unsupervised Domain Adaptation: Chaoqi Chen,

Weiping Xie,

Wenbing Huang,

Yu Rong,

Xinghao Ding,

Yue Huang,

Tingyang Xu,

Junzhou Huang; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Chaoqi and Xie, Weiping and Huang, Wenbing and Rong, Yu and Ding, Xinghao and Huang, Yue and Xu, Tingyang and Huang, Junzhou},
title = {Progressive Feature Alignment for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition: Xiaofeng Liu,

Site Li,

Lingsheng Kong,

Wanqing Xie,

Ping Jia,

Jane You,

B.V.K. Kumar; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Xiaofeng and Li, Site and Kong, Lingsheng and Xie, Wanqing and Jia, Ping and You, Jane and Kumar, B.V.K.},
title = {Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels: Thibaut Durand,

Nazanin Mehrasa,

Greg Mori; [pdf] [supp]
[bibtex]
@InProceedings{Durand_2019_CVPR,
author = {Durand, Thibaut and Mehrasa, Nazanin and Mori, Greg},
title = {Learning a Deep ConvNet for Multi-Label Classification With Partial Labels},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression: Hamid Rezatofighi,

Nathan Tsoi,

JunYoung Gwak,

Amir Sadeghian,

Ian Reid,

Silvio Savarese; [pdf] [supp]
[bibtex]
@InProceedings{Rezatofighi_2019_CVPR,
author = {Rezatofighi, Hamid and Tsoi, Nathan and Gwak, JunYoung and Sadeghian, Amir and Reid, Ian and Savarese, Silvio},
title = {Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Densely Semantically Aligned Person Re-Identification: Zhizheng Zhang,

Cuiling Lan,

Wenjun Zeng,

Zhibo Chen; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Zhizheng and Lan, Cuiling and Zeng, Wenjun and Chen, Zhibo},
title = {Densely Semantically Aligned Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generalising Fine-Grained Sketch-Based Image Retrieval: Kaiyue Pang,

Ke Li,

Yongxin Yang,

Honggang Zhang,

Timothy M. Hospedales,

Tao Xiang,

Yi-Zhe Song; [pdf]
[bibtex]
@InProceedings{Pang_2019_CVPR,
author = {Pang, Kaiyue and Li, Ke and Yang, Yongxin and Zhang, Honggang and Hospedales, Timothy M. and Xiang, Tao and Song, Yi-Zhe},
title = {Generalising Fine-Grained Sketch-Based Image Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adapting Object Detectors via Selective Cross-Domain Alignment: Xinge Zhu,

Jiangmiao Pang,

Ceyuan Yang,

Jianping Shi,

Dahua Lin; [pdf]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Xinge and Pang, Jiangmiao and Yang, Ceyuan and Shi, Jianping and Lin, Dahua},
title = {Adapting Object Detectors via Selective Cross-Domain Alignment},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation: Yunhang Shen,

Rongrong Ji,

Yan Wang,

Yongjian Wu,

Liujuan Cao; [pdf]
[bibtex]
@InProceedings{Shen_2019_CVPR,
author = {Shen, Yunhang and Ji, Rongrong and Wang, Yan and Wu, Yongjian and Cao, Liujuan},
title = {Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes: Aron Yu,

Kristen Grauman; [pdf] [supp]
[bibtex]
@InProceedings{Yu_2019_CVPR,
author = {Yu, Aron and Grauman, Kristen},
title = {Thinking Outside the Pool: Active Training Image Creation for Relative Attributes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generalizable Person Re-Identification by Domain-Invariant Mapping Network: Jifei Song,

Yongxin Yang,

Yi-Zhe Song,

Tao Xiang,

Timothy M. Hospedales; [pdf]
[bibtex]
@InProceedings{Song_2019_CVPR,
author = {Song, Jifei and Yang, Yongxin and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M.},
title = {Generalizable Person Re-Identification by Domain-Invariant Mapping Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification: Hao Guo,

Kang Zheng,

Xiaochuan Fan,

Hongkai Yu,

Song Wang; [pdf] [supp]
[bibtex]
@InProceedings{Guo_2019_CVPR,
author = {Guo, Hao and Zheng, Kang and Fan, Xiaochuan and Yu, Hongkai and Wang, Song},
title = {Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification: Song Bai,

Peng Tang,

Philip H.S. Torr,

Longin Jan Latecki; [pdf] [supp]
[bibtex]
@InProceedings{Bai_2019_CVPR,
author = {Bai, Song and Tang, Peng and Torr, Philip H.S. and Latecki, Longin Jan},
title = {Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization: Junbao Zhuo,

Shuhui Wang,

Shuhao Cui,

Qingming Huang; [pdf]
[bibtex]
@InProceedings{Zhuo_2019_CVPR,
author = {Zhuo, Junbao and Wang, Shuhui and Cui, Shuhao and Huang, Qingming},
title = {Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Weakly Supervised Person Re-Identification: Jingke Meng,

Sheng Wu,

Wei-Shi Zheng; [pdf]
[bibtex]
@InProceedings{Meng_2019_CVPR,
author = {Meng, Jingke and Wu, Sheng and Zheng, Wei-Shi},
title = {Weakly Supervised Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud: Shaoshuai Shi,

Xiaogang Wang,

Hongsheng Li; [pdf]
[bibtex]
@InProceedings{Shi_2019_CVPR,
author = {Shi, Shaoshuai and Wang, Xiaogang and Li, Hongsheng},
title = {PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Automatic Adaptation of Object Detectors to New Domains Using Self-Training: Aruni RoyChowdhury,

Prithvijit Chakrabarty,

Ashish Singh,

SouYoung Jin,

Huaizu Jiang,

Liangliang Cao,

Erik Learned-Miller; [pdf] [supp]
[bibtex]
@InProceedings{RoyChowdhury_2019_CVPR,
author = {RoyChowdhury, Aruni and Chakrabarty, Prithvijit and Singh, Ashish and Jin, SouYoung and Jiang, Huaizu and Cao, Liangliang and Learned-Miller, Erik},
title = {Automatic Adaptation of Object Detectors to New Domains Using Self-Training},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing: Jiaxin Chen,

Jie Qin,

Li Liu,

Fan Zhu,

Fumin Shen,

Jin Xie,

Ling Shao; [pdf]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Jiaxin and Qin, Jie and Liu, Li and Zhu, Fan and Shen, Fumin and Xie, Jin and Shao, Ling},
title = {Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generative Dual Adversarial Network for Generalized Zero-Shot Learning: He Huang,

Changhu Wang,

Philip S. Yu,

Chang-Dong Wang; [pdf]
[bibtex]
@InProceedings{Huang_2019_CVPR,
author = {Huang, He and Wang, Changhu and Yu, Philip S. and Wang, Chang-Dong},
title = {Generative Dual Adversarial Network for Generalized Zero-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Query-Guided End-To-End Person Search: Bharti Munjal,

Sikandar Amin,

Federico Tombari,

Fabio Galasso; [pdf]
[bibtex]
@InProceedings{Munjal_2019_CVPR,
author = {Munjal, Bharti and Amin, Sikandar and Tombari, Federico and Galasso, Fabio},
title = {Query-Guided End-To-End Person Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Libra R-CNN: Towards Balanced Learning for Object Detection: Jiangmiao Pang,

Kai Chen,

Jianping Shi,

Huajun Feng,

Wanli Ouyang,

Dahua Lin; [pdf]
[bibtex]
@InProceedings{Pang_2019_CVPR,
author = {Pang, Jiangmiao and Chen, Kai and Shi, Jianping and Feng, Huajun and Ouyang, Wanli and Lin, Dahua},
title = {Libra R-CNN: Towards Balanced Learning for Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning a Unified Classifier Incrementally via Rebalancing: Saihui Hou,

Xinyu Pan,

Chen Change Loy,

Zilei Wang,

Dahua Lin; [pdf] [supp]
[bibtex]
@InProceedings{Hou_2019_CVPR,
author = {Hou, Saihui and Pan, Xinyu and Loy, Chen Change and Wang, Zilei and Lin, Dahua},
title = {Learning a Unified Classifier Incrementally via Rebalancing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Feature Selective Anchor-Free Module for Single-Shot Object Detection: Chenchen Zhu,

Yihui He,

Marios Savvides; [pdf]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Chenchen and He, Yihui and Savvides, Marios},
title = {Feature Selective Anchor-Free Module for Single-Shot Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bottom-Up Object Detection by Grouping Extreme and Center Points: Xingyi Zhou,

Jiacheng Zhuo,

Philipp Krahenbuhl; [pdf] [supp]
[bibtex]
@InProceedings{Zhou_2019_CVPR,
author = {Zhou, Xingyi and Zhuo, Jiacheng and Krahenbuhl, Philipp},
title = {Bottom-Up Object Detection by Grouping Extreme and Center Points},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples: Zihao Liu,

Qi Liu,

Tao Liu,

Nuo Xu,

Xue Lin,

Yanzhi Wang,

Wujie Wen; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Zihao and Liu, Qi and Liu, Tao and Xu, Nuo and Lin, Xue and Wang, Yanzhi and Wen, Wujie},
title = {Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SCOPS: Self-Supervised Co-Part Segmentation: Wei-Chih Hung,

Varun Jampani,

Sifei Liu,

Pavlo Molchanov,

Ming-Hsuan Yang,

Jan Kautz; [pdf] [supp]
[bibtex]
@InProceedings{Hung_2019_CVPR,
author = {Hung, Wei-Chih and Jampani, Varun and Liu, Sifei and Molchanov, Pavlo and Yang, Ming-Hsuan and Kautz, Jan},
title = {SCOPS: Self-Supervised Co-Part Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Moving Object Detection via Contextual Information Separation: Yanchao Yang,

Antonio Loquercio,

Davide Scaramuzza,

Stefano Soatto; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Yanchao and Loquercio, Antonio and Scaramuzza, Davide and Soatto, Stefano},
title = {Unsupervised Moving Object Detection via Contextual Information Separation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pose2Seg: Detection Free Human Instance Segmentation: Song-Hai Zhang,

Ruilong Li,

Xin Dong,

Paul Rosin,

Zixi Cai,

Xi Han,

Dingcheng Yang,

Haozhi Huang,

Shi-Min Hu; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Song-Hai and Li, Ruilong and Dong, Xin and Rosin, Paul and Cai, Zixi and Han, Xi and Yang, Dingcheng and Huang, Haozhi and Hu, Shi-Min},
title = {Pose2Seg: Detection Free Human Instance Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios: Guorun Yang,

Xiao Song,

Chaoqin Huang,

Zhidong Deng,

Jianping Shi,

Bolei Zhou; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Guorun and Song, Xiao and Huang, Chaoqin and Deng, Zhidong and Shi, Jianping and Zhou, Bolei},
title = {DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding: Kaichun Mo,

Shilin Zhu,

Angel X. Chang,

Li Yi,

Subarna Tripathi,

Leonidas J. Guibas,

Hao Su; [pdf] [supp]
[bibtex]
@InProceedings{Mo_2019_CVPR,
author = {Mo, Kaichun and Zhu, Shilin and Chang, Angel X. and Yi, Li and Tripathi, Subarna and Guibas, Leonidas J. and Su, Hao},
title = {PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing: Shifeng Zhang,

Xiaobo Wang,

Ajian Liu,

Chenxu Zhao,

Jun Wan,

Sergio Escalera,

Hailin Shi,

Zezheng Wang,

Stan Z. Li; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Shifeng and Wang, Xiaobo and Liu, Ajian and Zhao, Chenxu and Wan, Jun and Escalera, Sergio and Shi, Hailin and Wang, Zezheng and Li, Stan Z.},
title = {A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Learning of Consensus Maximization for 3D Vision Problems: Thomas Probst,

Danda Pani Paudel,

Ajad Chhatkuli,

Luc Van Gool; [pdf] [supp]
[bibtex]
@InProceedings{Probst_2019_CVPR,
author = {Probst, Thomas and Paudel, Danda Pani and Chhatkuli, Ajad and Gool, Luc Van},
title = {Unsupervised Learning of Consensus Maximization for 3D Vision Problems},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People: Danna Gurari,

Qing Li,

Chi Lin,

Yinan Zhao,

Anhong Guo,

Abigale Stangl,

Jeffrey P. Bigham; [pdf] [supp]
[bibtex]
@InProceedings{Gurari_2019_CVPR,
author = {Gurari, Danna and Li, Qing and Lin, Chi and Zhao, Yinan and Guo, Anhong and Stangl, Abigale and Bigham, Jeffrey P.},
title = {VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Structural Relational Reasoning of Point Clouds: Yueqi Duan,

Yu Zheng,

Jiwen Lu,

Jie Zhou,

Qi Tian; [pdf]
[bibtex]
@InProceedings{Duan_2019_CVPR,
author = {Duan, Yueqi and Zheng, Yu and Lu, Jiwen and Zhou, Jie and Tian, Qi},
title = {Structural Relational Reasoning of Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MVF-Net: Multi-View 3D Face Morphable Model Regression: Fanzi Wu,

Linchao Bao,

Yajing Chen,

Yonggen Ling,

Yibing Song,

Songnan Li,

King Ngi Ngan,

Wei Liu; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Fanzi and Bao, Linchao and Chen, Yajing and Ling, Yonggen and Song, Yibing and Li, Songnan and Ngan, King Ngi and Liu, Wei},
title = {MVF-Net: Multi-View 3D Face Morphable Model Regression},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction: Chen-Hsuan Lin,

Oliver Wang,

Bryan C. Russell,

Eli Shechtman,

Vladimir G. Kim,

Matthew Fisher,

Simon Lucey; [pdf]
[bibtex]
@InProceedings{Lin_2019_CVPR,
author = {Lin, Chen-Hsuan and Wang, Oliver and Russell, Bryan C. and Shechtman, Eli and Kim, Vladimir G. and Fisher, Matthew and Lucey, Simon},
title = {Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Guided Stereo Matching: Matteo Poggi,

Davide Pallotti,

Fabio Tosi,

Stefano Mattoccia; [pdf]
[bibtex]
@InProceedings{Poggi_2019_CVPR,
author = {Poggi, Matteo and Pallotti, Davide and Tosi, Fabio and Mattoccia, Stefano},
title = {Guided Stereo Matching},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion: Alex Zihao Zhu,

Liangzhe Yuan,

Kenneth Chaney,

Kostas Daniilidis; [pdf]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Alex Zihao and Yuan, Liangzhe and Chaney, Kenneth and Daniilidis, Kostas},
title = {Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN: Shiyi Lan,

Ruichi Yu,

Gang Yu,

Larry S. Davis; [pdf]
[bibtex]
@InProceedings{Lan_2019_CVPR,
author = {Lan, Shiyi and Yu, Ruichi and Yu, Gang and Davis, Larry S.},
title = {Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D Point Capsule Networks: Yongheng Zhao,

Tolga Birdal,

Haowen Deng,

Federico Tombari; [pdf] [supp]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Yongheng and Birdal, Tolga and Deng, Haowen and Tombari, Federico},
title = {3D Point Capsule Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving: Buyu Li,

Wanli Ouyang,

Lu Sheng,

Xingyu Zeng,

Xiaogang Wang; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Buyu and Ouyang, Wanli and Sheng, Lu and Zeng, Xingyu and Wang, Xiaogang},
title = {GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding: Zehao Yu,

Jia Zheng,

Dongze Lian,

Zihan Zhou,

Shenghua Gao; [pdf] [supp]
[bibtex]
@InProceedings{Yu_2019_CVPR,
author = {Yu, Zehao and Zheng, Jia and Lian, Dongze and Zhou, Zihan and Gao, Shenghua},
title = {Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3DN: 3D Deformation Network: Weiyue Wang,

Duygu Ceylan,

Radomir Mech,

Ulrich Neumann; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Weiyue and Ceylan, Duygu and Mech, Radomir and Neumann, Ulrich},
title = {3DN: 3D Deformation Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation: Cheng Sun,

Chi-Wei Hsiao,

Min Sun,

Hwann-Tzong Chen; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2019_CVPR,
author = {Sun, Cheng and Hsiao, Chi-Wei and Sun, Min and Chen, Hwann-Tzong},
title = {HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection: Lijie Liu,

Jiwen Lu,

Chunjing Xu,

Qi Tian,

Jie Zhou; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Lijie and Lu, Jiwen and Xu, Chunjing and Tian, Qi and Zhou, Jie},
title = {Deep Fitting Degree Scoring Network for Monocular 3D Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering: Seungryul Baek,

Kwang In Kim,

Tae-Kyun Kim; [pdf] [supp]
[bibtex]
@InProceedings{Baek_2019_CVPR,
author = {Baek, Seungryul and Kim, Kwang In and Kim, Tae-Kyun},
title = {Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry: Muhammed Kocabas,

Salih Karagoz,

Emre Akbas; [pdf]
[bibtex]
@InProceedings{Kocabas_2019_CVPR,
author = {Kocabas, Muhammed and Karagoz, Salih and Akbas, Emre},
title = {Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image: Tsun-Yi Yang,

Yi-Ting Chen,

Yen-Yu Lin,

Yung-Yu Chuang; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Tsun-Yi and Chen, Yi-Ting and Lin, Yen-Yu and Chuang, Yung-Yu},
title = {FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders: Yuxiang Zhou,

Jiankang Deng,

Irene Kotsia,

Stefanos Zafeiriou; [pdf]
[bibtex]
@InProceedings{Zhou_2019_CVPR,
author = {Zhou, Yuxiang and Deng, Jiankang and Kotsia, Irene and Zafeiriou, Stefanos},
title = {Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Does Learning Specific Features for Related Parts Help Human Pose Estimation?: Wei Tang,

Ying Wu; [pdf] [supp]
[bibtex]
@InProceedings{Tang_2019_CVPR,
author = {Tang, Wei and Wu, Ying},
title = {Does Learning Specific Features for Related Parts Help Human Pose Estimation?},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Linkage Based Face Clustering via Graph Convolution Network: Zhongdao Wang,

Liang Zheng,

Yali Li,

Shengjin Wang; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Zhongdao and Zheng, Liang and Li, Yali and Wang, Shengjin},
title = {Linkage Based Face Clustering via Graph Convolution Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards High-Fidelity Nonlinear 3D Face Morphable Model: Luan Tran,

Feng Liu,

Xiaoming Liu; [pdf]
[bibtex]
@InProceedings{Tran_2019_CVPR,
author = {Tran, Luan and Liu, Feng and Liu, Xiaoming},
title = {Towards High-Fidelity Nonlinear 3D Face Morphable Model},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RegularFace: Deep Face Recognition via Exclusive Regularization: Kai Zhao,

Jingyi Xu,

Ming-Ming Cheng; [pdf]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Kai and Xu, Jingyi and Cheng, Ming-Ming},
title = {RegularFace: Deep Face Recognition via Exclusive Regularization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation: Wanhua Li,

Jiwen Lu,

Jianjiang Feng,

Chunjing Xu,

Jie Zhou,

Qi Tian; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Wanhua and Lu, Jiwen and Feng, Jianjiang and Xu, Chunjing and Zhou, Jie and Tian, Qi},
title = {BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction: Baris Gecer,

Stylianos Ploumpis,

Irene Kotsia,

Stefanos Zafeiriou; [pdf] [supp]
[bibtex]
@InProceedings{Gecer_2019_CVPR,
author = {Gecer, Baris and Ploumpis, Stylianos and Kotsia, Irene and Zafeiriou, Stefanos},
title = {GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training: Mahdi Abavisani,

Hamid Reza Vaezi Joze,

Vishal M. Patel; [pdf]
[bibtex]
@InProceedings{Abavisani_2019_CVPR,
author = {Abavisani, Mahdi and Joze, Hamid Reza Vaezi and Patel, Vishal M.},
title = {Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Reconstruct People in Clothing From a Single RGB Camera: Thiemo Alldieck,

Marcus Magnor,

Bharat Lal Bhatnagar,

Christian Theobalt,

Gerard Pons-Moll; [pdf]
[bibtex]
@InProceedings{Alldieck_2019_CVPR,
author = {Alldieck, Thiemo and Magnor, Marcus and Bhatnagar, Bharat Lal and Theobalt, Christian and Pons-Moll, Gerard},
title = {Learning to Reconstruct People in Clothing From a Single RGB Camera},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Distilled Person Re-Identification: Towards a More Scalable System: Ancong Wu,

Wei-Shi Zheng,

Xiaowei Guo,

Jian-Huang Lai; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Ancong and Zheng, Wei-Shi and Guo, Xiaowei and Lai, Jian-Huang},
title = {Distilled Person Re-Identification: Towards a More Scalable System},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Perceptual Prediction Framework for Self Supervised Event Segmentation: Sathyanarayanan N. Aakur,

Sudeep Sarkar; [pdf]
[bibtex]
@InProceedings{Aakur_2019_CVPR,
author = {Aakur, Sathyanarayanan N. and Sarkar, Sudeep},
title = {A Perceptual Prediction Framework for Self Supervised Event Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis: Yansong Tang,

Dajun Ding,

Yongming Rao,

Yu Zheng,

Danyang Zhang,

Lili Zhao,

Jiwen Lu,

Jie Zhou; [pdf] [supp]
[bibtex]
@InProceedings{Tang_2019_CVPR,
author = {Tang, Yansong and Ding, Dajun and Rao, Yongming and Zheng, Yu and Zhang, Danyang and Zhao, Lili and Lu, Jiwen and Zhou, Jie},
title = {COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization: Chenchen Liu,

Xinyu Weng,

Yadong Mu; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Chenchen and Weng, Xinyu and Mu, Yadong},
title = {Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition: Chenyang Si,

Wentao Chen,

Wei Wang,

Liang Wang,

Tieniu Tan; [pdf]
[bibtex]
@InProceedings{Si_2019_CVPR,
author = {Si, Chenyang and Chen, Wentao and Wang, Wei and Wang, Liang and Tan, Tieniu},
title = {An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection: Jia-Xing Zhong,

Nannan Li,

Weijie Kong,

Shan Liu,

Thomas H. Li,

Ge Li; [pdf] [supp]
[bibtex]
@InProceedings{Zhong_2019_CVPR,
author = {Zhong, Jia-Xing and Li, Nannan and Kong, Weijie and Liu, Shan and Li, Thomas H. and Li, Ge},
title = {Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment: Da Zhang,

Xiyang Dai,

Xin Wang,

Yuan-Fang Wang,

Larry S. Davis; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Da and Dai, Xiyang and Wang, Xin and Wang, Yuan-Fang and Davis, Larry S.},
title = {MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Less Is More: Learning Highlight Detection From Video Duration: Bo Xiong,

Yannis Kalantidis,

Deepti Ghadiyaram,

Kristen Grauman; [pdf]
[bibtex]
@InProceedings{Xiong_2019_CVPR,
author = {Xiong, Bo and Kalantidis, Yannis and Ghadiyaram, Deepti and Grauman, Kristen},
title = {Less Is More: Learning Highlight Detection From Video Duration},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition: Zheng Shou,

Xudong Lin,

Yannis Kalantidis,

Laura Sevilla-Lara,

Marcus Rohrbach,

Shih-Fu Chang,

Zhicheng Yan; [pdf]
[bibtex]
@InProceedings{Shou_2019_CVPR,
author = {Shou, Zheng and Lin, Xudong and Kalantidis, Yannis and Sevilla-Lara, Laura and Rohrbach, Marcus and Chang, Shih-Fu and Yan, Zhicheng},
title = {DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AdaFrame: Adaptive Frame Selection for Fast Video Recognition: Zuxuan Wu,

Caiming Xiong,

Chih-Yao Ma,

Richard Socher,

Larry S. Davis; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Zuxuan and Xiong, Caiming and Ma, Chih-Yao and Socher, Richard and Davis, Larry S.},
title = {AdaFrame: Adaptive Frame Selection for Fast Video Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spatio-Temporal Video Re-Localization by Warp LSTM: Yang Feng,

Lin Ma,

Wei Liu,

Jiebo Luo; [pdf] [supp]
[bibtex]
@InProceedings{Feng_2019_CVPR,
author = {Feng, Yang and Ma, Lin and Liu, Wei and Luo, Jiebo},
title = {Spatio-Temporal Video Re-Localization by Warp LSTM},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization: Daochang Liu,

Tingting Jiang,

Yizhou Wang; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Daochang and Jiang, Tingting and Wang, Yizhou},
title = {Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Deep Tracking: Ning Wang,

Yibing Song,

Chao Ma,

Wengang Zhou,

Wei Liu,

Houqiang Li; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Ning and Song, Yibing and Ma, Chao and Zhou, Wengang and Liu, Wei and Li, Houqiang},
title = {Unsupervised Deep Tracking},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers: Zhen He,

Jian Li,

Daxue Liu,

Hangen He,

David Barber; [pdf] [supp]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Zhen and Li, Jian and Liu, Daxue and He, Hangen and Barber, David},
title = {Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast Online Object Tracking and Segmentation: A Unifying Approach: Qiang Wang,

Li Zhang,

Luca Bertinetto,

Weiming Hu,

Philip H.S. Torr; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Qiang and Zhang, Li and Bertinetto, Luca and Hu, Weiming and Torr, Philip H.S.},
title = {Fast Online Object Tracking and Segmentation: A Unifying Approach},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters: Ugur Kart,

Alan Lukezic,

Matej Kristan,

Joni-Kristian Kamarainen,

Jiri Matas; [pdf]
[bibtex]
@InProceedings{Kart_2019_CVPR,
author = {Kart, Ugur and Lukezic, Alan and Kristan, Matej and Kamarainen, Joni-Kristian and Matas, Jiri},
title = {Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints: Amir Sadeghian,

Vineet Kosaraju,

Ali Sadeghian,

Noriaki Hirose,

Hamid Rezatofighi,

Silvio Savarese; [pdf]
[bibtex]
@InProceedings{Sadeghian_2019_CVPR,
author = {Sadeghian, Amir and Kosaraju, Vineet and Sadeghian, Ali and Hirose, Noriaki and Rezatofighi, Hamid and Savarese, Silvio},
title = {SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Leveraging Shape Completion for 3D Siamese Tracking: Silvio Giancola,

Jesus Zarzar,

Bernard Ghanem; [pdf]
[bibtex]
@InProceedings{Giancola_2019_CVPR,
author = {Giancola, Silvio and Zarzar, Jesus and Ghanem, Bernard},
title = {Leveraging Shape Completion for 3D Siamese Tracking},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Target-Aware Deep Tracking: Xin Li,

Chao Ma,

Baoyuan Wu,

Zhenyu He,

Ming-Hsuan Yang; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Xin and Ma, Chao and Wu, Baoyuan and He, Zhenyu and Yang, Ming-Hsuan},
title = {Target-Aware Deep Tracking},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spatiotemporal CNN for Video Object Segmentation: Kai Xu,

Longyin Wen,

Guorong Li,

Liefeng Bo,

Qingming Huang; [pdf]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Kai and Wen, Longyin and Li, Guorong and Bo, Liefeng and Huang, Qingming},
title = {Spatiotemporal CNN for Video Object Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification: Wenjie Yang,

Houjing Huang,

Zhang Zhang,

Xiaotang Chen,

Kaiqi Huang,

Shu Zhang; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Wenjie and Huang, Houjing and Zhang, Zhang and Chen, Xiaotang and Huang, Kaiqi and Zhang, Shu},
title = {Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Wide-Context Semantic Image Extrapolation: Yi Wang,

Xin Tao,

Xiaoyong Shen,

Jiaya Jia; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Yi and Tao, Xin and Shen, Xiaoyong and Jia, Jiaya},
title = {Wide-Context Semantic Image Extrapolation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image: Seonghyeon Nam,

Chongyang Ma,

Menglei Chai,

William Brendel,

Ning Xu,

Seon Joo Kim; [pdf] [supp]
[bibtex]
@InProceedings{Nam_2019_CVPR,
author = {Nam, Seonghyeon and Ma, Chongyang and Chai, Menglei and Brendel, William and Xu, Ning and Kim, Seon Joo},
title = {End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images: Yang Wang,

Haibin Huang,

Chuan Wang,

Tong He,

Jue Wang,

Minh Hoai; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Yang and Huang, Haibin and Wang, Chuan and He, Tong and Wang, Jue and Hoai, Minh},
title = {GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis: Qi Mao,

Hsin-Ying Lee,

Hung-Yu Tseng,

Siwei Ma,

Ming-Hsuan Yang; [pdf] [supp]
[bibtex]
@InProceedings{Mao_2019_CVPR,
author = {Mao, Qi and Lee, Hsin-Ying and Tseng, Hung-Yu and Ma, Siwei and Yang, Ming-Hsuan},
title = {Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pluralistic Image Completion: Chuanxia Zheng,

Tat-Jen Cham,

Jianfei Cai; [pdf] [supp]
[bibtex]
@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Chuanxia and Cham, Tat-Jen and Cai, Jianfei},
title = {Pluralistic Image Completion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Salient Object Detection With Pyramid Attention and Salient Edges: Wenguan Wang,

Shuyang Zhao,

Jianbing Shen,

Steven C. H. Hoi,

Ali Borji; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Wenguan and Zhao, Shuyang and Shen, Jianbing and Hoi, Steven C. H. and Borji, Ali},
title = {Salient Object Detection With Pyramid Attention and Salient Edges},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation: Yazeed Alharbi,

Neil Smith,

Peter Wonka; [pdf]
[bibtex]
@InProceedings{Alharbi_2019_CVPR,
author = {Alharbi, Yazeed and Smith, Neil and Wonka, Peter},
title = {Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attention-Aware Multi-Stroke Style Transfer: Yuan Yao,

Jianqiang Ren,

Xuansong Xie,

Weidong Liu,

Yong-Jin Liu,

Jun Wang; [pdf] [supp]
[bibtex]
@InProceedings{Yao_2019_CVPR,
author = {Yao, Yuan and Ren, Jianqiang and Xie, Xuansong and Liu, Weidong and Liu, Yong-Jin and Wang, Jun},
title = {Attention-Aware Multi-Stroke Style Transfer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks: Minyoung Huh,

Shao-Hua Sun,

Ning Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Huh_2019_CVPR,
author = {Huh, Minyoung and Sun, Shao-Hua and Zhang, Ning},
title = {Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting: Yanhong Zeng,

Jianlong Fu,

Hongyang Chao,

Baining Guo; [pdf]
[bibtex]
@InProceedings{Zeng_2019_CVPR,
author = {Zeng, Yanhong and Fu, Jianlong and Chao, Hongyang and Guo, Baining},
title = {Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Example-Guided Style-Consistent Image Synthesis From Semantic Labeling: Miao Wang,

Guo-Ye Yang,

Ruilong Li,

Run-Ze Liang,

Song-Hai Zhang,

Peter M. Hall,

Shi-Min Hu; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Miao and Yang, Guo-Ye and Li, Ruilong and Liang, Run-Ze and Zhang, Song-Hai and Hall, Peter M. and Hu, Shi-Min},
title = {Example-Guided Style-Consistent Image Synthesis From Semantic Labeling},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MirrorGAN: Learning Text-To-Image Generation by Redescription: Tingting Qiao,

Jing Zhang,

Duanqing Xu,

Dacheng Tao; [pdf] [supp]
[bibtex]
@InProceedings{Qiao_2019_CVPR,
author = {Qiao, Tingting and Zhang, Jing and Xu, Duanqing and Tao, Dacheng},
title = {MirrorGAN: Learning Text-To-Image Generation by Redescription},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Light Field Messaging With Deep Photographic Steganography: Eric Wengrowski,

Kristin Dana; [pdf] [supp]
[bibtex]
@InProceedings{Wengrowski_2019_CVPR,
author = {Wengrowski, Eric and Dana, Kristin},
title = {Light Field Messaging With Deep Photographic Steganography},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Im2Pencil: Controllable Pencil Illustration From Photographs: Yijun Li,

Chen Fang,

Aaron Hertzmann,

Eli Shechtman,

Ming-Hsuan Yang; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yijun and Fang, Chen and Hertzmann, Aaron and Shechtman, Eli and Yang, Ming-Hsuan},
title = {Im2Pencil: Controllable Pencil Illustration From Photographs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images: Mahmoud Afifi,

Brian Price,

Scott Cohen,

Michael S. Brown; [pdf] [supp]
[bibtex]
@InProceedings{Afifi_2019_CVPR,
author = {Afifi, Mahmoud and Price, Brian and Cohen, Scott and Brown, Michael S.},
title = {When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Beyond Volumetric Albedo -- A Surface Optimization Framework for Non-Line-Of-Sight Imaging: Chia-Yin Tsai,

Aswin C. Sankaranarayanan,

Ioannis Gkioulekas; [pdf] [supp]
[bibtex]
@InProceedings{Tsai_2019_CVPR,
author = {Tsai, Chia-Yin and Sankaranarayanan, Aswin C. and Gkioulekas, Ioannis},
title = {Beyond Volumetric Albedo -- A Surface Optimization Framework for Non-Line-Of-Sight Imaging},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reflection Removal Using a Dual-Pixel Sensor: Abhijith Punnappurath,

Michael S. Brown; [pdf]
[bibtex]
@InProceedings{Punnappurath_2019_CVPR,
author = {Punnappurath, Abhijith and Brown, Michael S.},
title = {Reflection Removal Using a Dual-Pixel Sensor},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Practical Coding Function Design for Time-Of-Flight Imaging: Felipe Gutierrez-Barragan,

Syed Azer Reza,

Andreas Velten,

Mohit Gupta; [pdf] [supp]
[bibtex]
@InProceedings{Gutierrez-Barragan_2019_CVPR,
author = {Gutierrez-Barragan, Felipe and Reza, Syed Azer and Velten, Andreas and Gupta, Mohit},
title = {Practical Coding Function Design for Time-Of-Flight Imaging},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution: Xuecai Hu,

Haoyuan Mu,

Xiangyu Zhang,

Zilei Wang,

Tieniu Tan,

Jian Sun; [pdf]
[bibtex]
@InProceedings{Hu_2019_CVPR,
author = {Hu, Xuecai and Mu, Haoyuan and Zhang, Xiangyu and Wang, Zilei and Tan, Tieniu and Sun, Jian},
title = {Meta-SR: A Magnification-Arbitrary Network for Super-Resolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net: Qi Xie,

Minghao Zhou,

Qian Zhao,

Deyu Meng,

Wangmeng Zuo,

Zongben Xu; [pdf] [supp]
[bibtex]
@InProceedings{Xie_2019_CVPR,
author = {Xie, Qi and Zhou, Minghao and Zhao, Qian and Meng, Deyu and Zuo, Wangmeng and Xu, Zongben},
title = {Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Attraction Field Representation for Robust Line Segment Detection: Nan Xue,

Song Bai,

Fudong Wang,

Gui-Song Xia,

Tianfu Wu,

Liangpei Zhang; [pdf]
[bibtex]
@InProceedings{Xue_2019_CVPR,
author = {Xue, Nan and Bai, Song and Wang, Fudong and Xia, Gui-Song and Wu, Tianfu and Zhang, Liangpei},
title = {Learning Attraction Field Representation for Robust Line Segment Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Blind Super-Resolution With Iterative Kernel Correction: Jinjin Gu,

Hannan Lu,

Wangmeng Zuo,

Chao Dong; [pdf]
[bibtex]
@InProceedings{Gu_2019_CVPR,
author = {Gu, Jinjin and Lu, Hannan and Zuo, Wangmeng and Dong, Chao},
title = {Blind Super-Resolution With Iterative Kernel Correction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution: Shoichiro Takeda,

Yasunori Akagi,

Kazuki Okami,

Megumi Isogai,

Hideaki Kimata; [pdf] [supp]
[bibtex]
@InProceedings{Takeda_2019_CVPR,
author = {Takeda, Shoichiro and Akagi, Yasunori and Okami, Kazuki and Isogai, Megumi and Kimata, Hideaki},
title = {Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attentive Feedback Network for Boundary-Aware Salient Object Detection: Mengyang Feng,

Huchuan Lu,

Errui Ding; [pdf]
[bibtex]
@InProceedings{Feng_2019_CVPR,
author = {Feng, Mengyang and Lu, Huchuan and Ding, Errui},
title = {Attentive Feedback Network for Boundary-Aware Salient Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning: Ruoteng Li,

Loong-Fah Cheong,

Robby T. Tan; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Ruoteng and Cheong, Loong-Fah and Tan, Robby T.},
title = {Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Calibrate Straight Lines for Fisheye Image Rectification: Zhucun Xue,

Nan Xue,

Gui-Song Xia,

Weiming Shen; [pdf]
[bibtex]
@InProceedings{Xue_2019_CVPR,
author = {Xue, Zhucun and Xue, Nan and Xia, Gui-Song and Shen, Weiming},
title = {Learning to Calibrate Straight Lines for Fisheye Image Rectification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Camera Lens Super-Resolution: Chang Chen,

Zhiwei Xiong,

Xinmei Tian,

Zheng-Jun Zha,

Feng Wu; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Chang and Xiong, Zhiwei and Tian, Xinmei and Zha, Zheng-Jun and Wu, Feng},
title = {Camera Lens Super-Resolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow: Wenhan Yang,

Jiaying Liu,

Jiashi Feng; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Wenhan and Liu, Jiaying and Feng, Jiashi},
title = {Frame-Consistent Recurrent Video Deraining With Dual-Level Flow},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels: Kai Zhang,

Wangmeng Zuo,

Lei Zhang; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Kai and Zuo, Wangmeng and Zhang, Lei},
title = {Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Sea-Thru: A Method for Removing Water From Underwater Images: Derya Akkaynak,

Tali Treibitz; [pdf]
[bibtex]
@InProceedings{Akkaynak_2019_CVPR,
author = {Akkaynak, Derya and Treibitz, Tali},
title = {Sea-Thru: A Method for Removing Water From Underwater Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Network Interpolation for Continuous Imagery Effect Transition: Xintao Wang,

Ke Yu,

Chao Dong,

Xiaoou Tang,

Chen Change Loy; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Xintao and Yu, Ke and Dong, Chao and Tang, Xiaoou and Loy, Chen Change},
title = {Deep Network Interpolation for Continuous Imagery Effect Transition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spatially Variant Linear Representation Models for Joint Filtering: Jinshan Pan,

Jiangxin Dong,

Jimmy S. Ren,

Liang Lin,

Jinhui Tang,

Ming-Hsuan Yang; [pdf] [supp]
[bibtex]
@InProceedings{Pan_2019_CVPR,
author = {Pan, Jinshan and Dong, Jiangxin and Ren, Jimmy S. and Lin, Liang and Tang, Jinhui and Yang, Ming-Hsuan},
title = {Spatially Variant Linear Representation Models for Joint Filtering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Toward Convolutional Blind Denoising of Real Photographs: Shi Guo,

Zifei Yan,

Kai Zhang,

Wangmeng Zuo,

Lei Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Guo_2019_CVPR,
author = {Guo, Shi and Yan, Zifei and Zhang, Kai and Zuo, Wangmeng and Zhang, Lei},
title = {Toward Convolutional Blind Denoising of Real Photographs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Real Scene Super-Resolution With Raw Images: Xiangyu Xu,

Yongrui Ma,

Wenxiu Sun; [pdf]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Xiangyu and Ma, Yongrui and Sun, Wenxiu},
title = {Towards Real Scene Super-Resolution With Raw Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ODE-Inspired Network Design for Single Image Super-Resolution: Xiangyu He,

Zitao Mo,

Peisong Wang,

Yang Liu,

Mingyuan Yang,

Jian Cheng; [pdf] [supp]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Xiangyu and Mo, Zitao and Wang, Peisong and Liu, Yang and Yang, Mingyuan and Cheng, Jian},
title = {ODE-Inspired Network Design for Single Image Super-Resolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Blind Image Deblurring With Local Maximum Gradient Prior: Liang Chen,

Faming Fang,

Tingting Wang,

Guixu Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Liang and Fang, Faming and Wang, Tingting and Zhang, Guixu},
title = {Blind Image Deblurring With Local Maximum Gradient Prior},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging: Qingsen Yan,

Dong Gong,

Qinfeng Shi,

Anton van den Hengel,

Chunhua Shen,

Ian Reid,

Yanning Zhang; [pdf]
[bibtex]
@InProceedings{Yan_2019_CVPR,
author = {Yan, Qingsen and Gong, Dong and Shi, Qinfeng and Hengel, Anton van den and Shen, Chunhua and Reid, Ian and Zhang, Yanning},
title = {Attention-Guided Network for Ghost-Free High Dynamic Range Imaging},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Searching for a Robust Neural Architecture in Four GPU Hours: Xuanyi Dong,

Yi Yang; [pdf]
[bibtex]
@InProceedings{Dong_2019_CVPR,
author = {Dong, Xuanyi and Yang, Yi},
title = {Searching for a Robust Neural Architecture in Four GPU Hours},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction: Yifei Shi,

Angel X. Chang,

Zhelun Wu,

Manolis Savva,

Kai Xu; [pdf] [supp]
[bibtex]
@InProceedings{Shi_2019_CVPR,
author = {Shi, Yifei and Chang, Angel X. and Wu, Zhelun and Savva, Manolis and Xu, Kai},
title = {Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adaptively Connected Neural Networks: Guangrun Wang,

Keze Wang,

Liang Lin; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Guangrun and Wang, Keze and Lin, Liang},
title = {Adaptively Connected Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency: Yun-Chun Chen,

Yen-Yu Lin,

Ming-Hsuan Yang,

Jia-Bin Huang; [pdf]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Yun-Chun and Lin, Yen-Yu and Yang, Ming-Hsuan and Huang, Jia-Bin},
title = {CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Temporal Cycle-Consistency Learning: Debidatta Dwibedi,

Yusuf Aytar,

Jonathan Tompson,

Pierre Sermanet,

Andrew Zisserman; [pdf] [supp]
[bibtex]
@InProceedings{Dwibedi_2019_CVPR,
author = {Dwibedi, Debidatta and Aytar, Yusuf and Tompson, Jonathan and Sermanet, Pierre and Zisserman, Andrew},
title = {Temporal Cycle-Consistency Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Predicting Future Frames Using Retrospective Cycle GAN: Yong-Hoon Kwon,

Min-Gyu Park; [pdf]
[bibtex]
@InProceedings{Kwon_2019_CVPR,
author = {Kwon, Yong-Hoon and Park, Min-Gyu},
title = {Predicting Future Frames Using Retrospective Cycle GAN},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization: Dongze Lian,

Jing Li,

Jia Zheng,

Weixin Luo,

Shenghua Gao; [pdf] [supp]
[bibtex]
@InProceedings{Lian_2019_CVPR,
author = {Lian, Dongze and Li, Jing and Zheng, Jia and Luo, Weixin and Gao, Shenghua},
title = {Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning: Xin Wang,

Fisher Yu,

Ruth Wang,

Trevor Darrell,

Joseph E. Gonzalez; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Xin and Yu, Fisher and Wang, Ruth and Darrell, Trevor and Gonzalez, Joseph E.},
title = {TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach: Yuhua Chen,

Wen Li,

Xiaoran Chen,

Luc Van Gool; [pdf]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Yuhua and Li, Wen and Chen, Xiaoran and Gool, Luc Van},
title = {Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attentive Single-Tasking of Multiple Tasks: Kevis-Kokitsi Maninis,

Ilija Radosavovic,

Iasonas Kokkinos; [pdf] [supp]
[bibtex]
@InProceedings{Maninis_2019_CVPR,
author = {Maninis, Kevis-Kokitsi and Radosavovic, Ilija and Kokkinos, Iasonas},
title = {Attentive Single-Tasking of Multiple Tasks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Metric Learning to Rank: Fatih Cakir,

Kun He,

Xide Xia,

Brian Kulis,

Stan Sclaroff; [pdf] [supp]
[bibtex]
@InProceedings{Cakir_2019_CVPR,
author = {Cakir, Fatih and He, Kun and Xia, Xide and Kulis, Brian and Sclaroff, Stan},
title = {Deep Metric Learning to Rank},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
End-To-End Multi-Task Learning With Attention: Shikun Liu,

Edward Johns,

Andrew J. Davison; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Shikun and Johns, Edward and Davison, Andrew J.},
title = {End-To-End Multi-Task Learning With Attention},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Supervised Learning via Conditional Motion Propagation: Xiaohang Zhan,

Xingang Pan,

Ziwei Liu,

Dahua Lin,

Chen Change Loy; [pdf] [supp]
[bibtex]
@InProceedings{Zhan_2019_CVPR,
author = {Zhan, Xiaohang and Pan, Xingang and Liu, Ziwei and Lin, Dahua and Loy, Chen Change},
title = {Self-Supervised Learning via Conditional Motion Propagation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence: Hsueh-Ying Lai,

Yi-Hsuan Tsai,

Wei-Chen Chiu; [pdf]
[bibtex]
@InProceedings{Lai_2019_CVPR,
author = {Lai, Hsueh-Ying and Tsai, Yi-Hsuan and Chiu, Wei-Chen},
title = {Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation: Wei-Lun Chang,

Hui-Po Wang,

Wen-Hsiao Peng,

Wei-Chen Chiu; [pdf]
[bibtex]
@InProceedings{Chang_2019_CVPR,
author = {Chang, Wei-Lun and Wang, Hui-Po and Peng, Wen-Hsiao and Chiu, Wei-Chen},
title = {All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning: Chen Wei,

Lingxi Xie,

Xutong Ren,

Yingda Xia,

Chi Su,

Jiaying Liu,

Qi Tian,

Alan L. Yuille; [pdf]
[bibtex]
@InProceedings{Wei_2019_CVPR,
author = {Wei, Chen and Xie, Lingxi and Ren, Xutong and Xia, Yingda and Su, Chi and Liu, Jiaying and Tian, Qi and Yuille, Alan L.},
title = {Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Revisiting Self-Supervised Visual Representation Learning: Alexander Kolesnikov,

Xiaohua Zhai,

Lucas Beyer; [pdf] [supp]
[bibtex]
@InProceedings{Kolesnikov_2019_CVPR,
author = {Kolesnikov, Alexander and Zhai, Xiaohua and Beyer, Lucas},
title = {Revisiting Self-Supervised Visual Representation Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning: Monica Haurilet,

Alina Roitberg,

Rainer Stiefelhagen; [pdf] [supp]
[bibtex]
@InProceedings{Haurilet_2019_CVPR,
author = {Haurilet, Monica and Roitberg, Alina and Stiefelhagen, Rainer},
title = {It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Actively Seeking and Learning From Live Data: Damien Teney,

Anton van den Hengel; [pdf] [supp]
[bibtex]
@InProceedings{Teney_2019_CVPR,
author = {Teney, Damien and Hengel, Anton van den},
title = {Actively Seeking and Learning From Live Data},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing: Xihui Liu,

Zihao Wang,

Jing Shao,

Xiaogang Wang,

Hongsheng Li; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Xihui and Wang, Zihao and Shao, Jing and Wang, Xiaogang and Li, Hongsheng},
title = {Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks: Peng Wang,

Qi Wu,

Jiewei Cao,

Chunhua Shen,

Lianli Gao,

Anton van den Hengel; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Peng and Wu, Qi and Cao, Jiewei and Shen, Chunhua and Gao, Lianli and Hengel, Anton van den},
title = {Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Scene Graph Generation With External Knowledge and Image Reconstruction: Jiuxiang Gu,

Handong Zhao,

Zhe Lin,

Sheng Li,

Jianfei Cai,

Mingyang Ling; [pdf]
[bibtex]
@InProceedings{Gu_2019_CVPR,
author = {Gu, Jiuxiang and Zhao, Handong and Lin, Zhe and Li, Sheng and Cai, Jianfei and Ling, Mingyang},
title = {Scene Graph Generation With External Knowledge and Image Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval: Yale Song,

Mohammad Soleymani; [pdf] [supp]
[bibtex]
@InProceedings{Song_2019_CVPR,
author = {Song, Yale and Soleymani, Mohammad},
title = {Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MUREL: Multimodal Relational Reasoning for Visual Question Answering: Remi Cadene,

Hedi Ben-younes,

Matthieu Cord,

Nicolas Thome; [pdf] [supp]
[bibtex]
@InProceedings{Cadene_2019_CVPR,
author = {Cadene, Remi and Ben-younes, Hedi and Cord, Matthieu and Thome, Nicolas},
title = {MUREL: Multimodal Relational Reasoning for Visual Question Answering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering: Chenyou Fan,

Xiaofan Zhang,

Shu Zhang,

Wensheng Wang,

Chi Zhang,

Heng Huang; [pdf]
[bibtex]
@InProceedings{Fan_2019_CVPR,
author = {Fan, Chenyou and Zhang, Xiaofan and Zhang, Shu and Wang, Wensheng and Zhang, Chi and Huang, Heng},
title = {Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Information Maximizing Visual Question Generation: Ranjay Krishna,

Michael Bernstein,

Li Fei-Fei; [pdf]
[bibtex]
@InProceedings{Krishna_2019_CVPR,
author = {Krishna, Ranjay and Bernstein, Michael and Fei-Fei, Li},
title = {Information Maximizing Visual Question Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Detect Human-Object Interactions With Knowledge: Bingjie Xu,

Yongkang Wong,

Junnan Li,

Qi Zhao,

Mohan S. Kankanhalli; [pdf]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Bingjie and Wong, Yongkang and Li, Junnan and Zhao, Qi and Kankanhalli, Mohan S.},
title = {Learning to Detect Human-Object Interactions With Knowledge},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Words by Drawing Images: Didac Suris,

Adria Recasens,

David Bau,

David Harwath,

James Glass,

Antonio Torralba; [pdf]
[bibtex]
@InProceedings{Suris_2019_CVPR,
author = {Suris, Didac and Recasens, Adria and Bau, David and Harwath, David and Glass, James and Torralba, Antonio},
title = {Learning Words by Drawing Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Factor Graph Attention: Idan Schwartz,

Seunghak Yu,

Tamir Hazan,

Alexander G. Schwing; [pdf] [supp]
[bibtex]
@InProceedings{Schwartz_2019_CVPR,
author = {Schwartz, Idan and Yu, Seunghak and Hazan, Tamir and Schwing, Alexander G.},
title = {Factor Graph Attention},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition: Zizhao Zhang,

Adriana Romero,

Matthew J. Muckley,

Pascal Vincent,

Lin Yang,

Michal Drozdzal; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Zizhao and Romero, Adriana and Muckley, Matthew J. and Vincent, Pascal and Yang, Lin and Drozdzal, Michal},
title = {Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification: Fangneng Zhan,

Shijian Lu; [pdf]
[bibtex]
@InProceedings{Zhan_2019_CVPR,
author = {Zhan, Fangneng and Lu, Shijian},
title = {ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape: Fabian Manhardt,

Wadim Kehl,

Adrien Gaidon; [pdf] [supp]
[bibtex]
@InProceedings{Manhardt_2019_CVPR,
author = {Manhardt, Fabian and Kehl, Wadim and Gaidon, Adrien},
title = {ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images: Yi Zhou,

Xiaodong He,

Lei Huang,

Li Liu,

Fan Zhu,

Shanshan Cui,

Ling Shao; [pdf] [supp]
[bibtex]
@InProceedings{Zhou_2019_CVPR,
author = {Zhou, Yi and He, Xiaodong and Huang, Lei and Liu, Li and Zhu, Fan and Cui, Shanshan and Shao, Ling},
title = {Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Biologically-Constrained Graphs for Global Connectomics Reconstruction: Brian Matejek,

Daniel Haehn,

Haidong Zhu,

Donglai Wei,

Toufiq Parag,

Hanspeter Pfister; [pdf] [supp]
[bibtex]
@InProceedings{Matejek_2019_CVPR,
author = {Matejek, Brian and Haehn, Daniel and Zhu, Haidong and Wei, Donglai and Parag, Toufiq and Pfister, Hanspeter},
title = {Biologically-Constrained Graphs for Global Connectomics Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification: Bingzhe Wu,

Shiwan Zhao,

Guangyu Sun,

Xiaolu Zhang,

Zhong Su,

Caihong Zeng,

Zhihong Liu; [pdf]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Bingzhe and Zhao, Shiwan and Sun, Guangyu and Zhang, Xiaolu and Su, Zhong and Zeng, Caihong and Liu, Zhihong},
title = {P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Elastic Boundary Projection for 3D Medical Image Segmentation: Tianwei Ni,

Lingxi Xie,

Huangjie Zheng,

Elliot K. Fishman,

Alan L. Yuille; [pdf] [supp]
[bibtex]
@InProceedings{Ni_2019_CVPR,
author = {Ni, Tianwei and Xie, Lingxi and Zheng, Huangjie and Fishman, Elliot K. and Yuille, Alan L.},
title = {Elastic Boundary Projection for 3D Medical Image Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images: Caijing Miao,

Lingxi Xie,

Fang Wan,

Chi Su,

Hongye Liu,

Jianbin Jiao,

Qixiang Ye; [pdf]
[bibtex]
@InProceedings{Miao_2019_CVPR,
author = {Miao, Caijing and Xie, Lingxi and Wan, Fang and Su, Chi and Liu, Hongye and Jiao, Jianbin and Ye, Qixiang},
title = {SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Noise2Void - Learning Denoising From Single Noisy Images: Alexander Krull,

Tim-Oliver Buchholz,

Florian Jug; [pdf] [supp]
[bibtex]
@InProceedings{Krull_2019_CVPR,
author = {Krull, Alexander and Buchholz, Tim-Oliver and Jug, Florian},
title = {Noise2Void - Learning Denoising From Single Noisy Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Joint Discriminative and Generative Learning for Person Re-Identification: Zhedong Zheng,

Xiaodong Yang,

Zhiding Yu,

Liang Zheng,

Yi Yang,

Jan Kautz; [pdf] [supp] [video]
[bibtex]
@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Zhedong and Yang, Xiaodong and Yu, Zhiding and Zheng, Liang and Yang, Yi and Kautz, Jan},
title = {Joint Discriminative and Generative Learning for Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Person Re-Identification by Soft Multilabel Learning: Hong-Xing Yu,

Wei-Shi Zheng,

Ancong Wu,

Xiaowei Guo,

Shaogang Gong,

Jian-Huang Lai; [pdf] [supp] [video]
[bibtex]
@InProceedings{Yu_2019_CVPR,
author = {Yu, Hong-Xing and Zheng, Wei-Shi and Wu, Ancong and Guo, Xiaowei and Gong, Shaogang and Lai, Jian-Huang},
title = {Unsupervised Person Re-Identification by Soft Multilabel Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Context Graph for Person Search: Yichao Yan,

Qiang Zhang,

Bingbing Ni,

Wendong Zhang,

Minghao Xu,

Xiaokang Yang; [pdf] [video]
[bibtex]
@InProceedings{Yan_2019_CVPR,
author = {Yan, Yichao and Zhang, Qiang and Ni, Bingbing and Zhang, Wendong and Xu, Minghao and Yang, Xiaokang},
title = {Learning Context Graph for Person Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Gradient Matching Generative Networks for Zero-Shot Learning: Mert Bulent Sariyildiz,

Ramazan Gokberk Cinbis; [pdf] [video]
[bibtex]
@InProceedings{Sariyildiz_2019_CVPR,
author = {Sariyildiz, Mert Bulent and Cinbis, Ramazan Gokberk},
title = {Gradient Matching Generative Networks for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval: Sounak Dey,

Pau Riba,

Anjan Dutta,

Josep Llados,

Yi-Zhe Song; [pdf] [video]
[bibtex]
@InProceedings{Dey_2019_CVPR,
author = {Dey, Sounak and Riba, Pau and Dutta, Anjan and Llados, Josep and Song, Yi-Zhe},
title = {Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Zero-Shot Task Transfer: Arghya Pal,

Vineeth N Balasubramanian; [pdf] [supp] [video]
[bibtex]
@InProceedings{Pal_2019_CVPR,
author = {Pal, Arghya and Balasubramanian, Vineeth N},
title = {Zero-Shot Task Transfer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection: Fang Wan,

Chang Liu,

Wei Ke,

Xiangyang Ji,

Jianbin Jiao,

Qixiang Ye; [pdf] [video]
[bibtex]
@InProceedings{Wan_2019_CVPR,
author = {Wan, Fang and Liu, Chang and Ke, Wei and Ji, Xiangyang and Jiao, Jianbin and Ye, Qixiang},
title = {C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations: Jiwoon Ahn,

Sunghyun Cho,

Suha Kwak; [pdf] [supp] [video]
[bibtex]
@InProceedings{Ahn_2019_CVPR,
author = {Ahn, Jiwoon and Cho, Sunghyun and Kwak, Suha},
title = {Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attention-Based Dropout Layer for Weakly Supervised Object Localization: Junsuk Choe,

Hyunjung Shim; [pdf] [video]
[bibtex]
@InProceedings{Choe_2019_CVPR,
author = {Choe, Junsuk and Shim, Hyunjung},
title = {Attention-Based Dropout Layer for Weakly Supervised Object Localization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Domain Generalization by Solving Jigsaw Puzzles: Fabio M. Carlucci,

Antonio D'Innocente,

Silvia Bucci,

Barbara Caputo,

Tatiana Tommasi; [pdf] [supp] [video]
[bibtex]
@InProceedings{Carlucci_2019_CVPR,
author = {Carlucci, Fabio M. and D'Innocente, Antonio and Bucci, Silvia and Caputo, Barbara and Tommasi, Tatiana},
title = {Domain Generalization by Solving Jigsaw Puzzles},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Transferrable Prototypical Networks for Unsupervised Domain Adaptation: Yingwei Pan,

Ting Yao,

Yehao Li,

Yu Wang,

Chong-Wah Ngo,

Tao Mei; [pdf] [video]
[bibtex]
@InProceedings{Pan_2019_CVPR,
author = {Pan, Yingwei and Yao, Ting and Li, Yehao and Wang, Yu and Ngo, Chong-Wah and Mei, Tao},
title = {Transferrable Prototypical Networks for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks: Ziliang Chen,

Jingyu Zhuang,

Xiaodan Liang,

Liang Lin; [pdf] [supp] [video]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Ziliang and Zhuang, Jingyu and Liang, Xiaodan and Lin, Liang},
title = {Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ELASTIC: Improving CNNs With Dynamic Scaling Policies: Huiyu Wang,

Aniruddha Kembhavi,

Ali Farhadi,

Alan L. Yuille,

Mohammad Rastegari; [pdf] [supp] [video]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Huiyu and Kembhavi, Aniruddha and Farhadi, Ali and Yuille, Alan L. and Rastegari, Mohammad},
title = {ELASTIC: Improving CNNs With Dynamic Scaling Policies},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ScratchDet: Training Single-Shot Object Detectors From Scratch: Rui Zhu,

Shifeng Zhang,

Xiaobo Wang,

Longyin Wen,

Hailin Shi,

Liefeng Bo,

Tao Mei; [pdf] [supp] [video]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Rui and Zhang, Shifeng and Wang, Xiaobo and Wen, Longyin and Shi, Hailin and Bo, Liefeng and Mei, Tao},
title = {ScratchDet: Training Single-Shot Object Detectors From Scratch},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SFNet: Learning Object-Aware Semantic Correspondence: Junghyup Lee,

Dohyung Kim,

Jean Ponce,

Bumsub Ham; [pdf] [supp] [video]
[bibtex]
@InProceedings{Lee_2019_CVPR,
author = {Lee, Junghyup and Kim, Dohyung and Ponce, Jean and Ham, Bumsub},
title = {SFNet: Learning Object-Aware Semantic Correspondence},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Metric Learning Beyond Binary Supervision: Sungyeon Kim,

Minkyo Seo,

Ivan Laptev,

Minsu Cho,

Suha Kwak; [pdf] [video]
[bibtex]
@InProceedings{Kim_2019_CVPR,
author = {Kim, Sungyeon and Seo, Minkyo and Laptev, Ivan and Cho, Minsu and Kwak, Suha},
title = {Deep Metric Learning Beyond Binary Supervision},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Cluster Faces on an Affinity Graph: Lei Yang,

Xiaohang Zhan,

Dapeng Chen,

Junjie Yan,

Chen Change Loy,

Dahua Lin; [pdf] [video]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Lei and Zhan, Xiaohang and Chen, Dapeng and Yan, Junjie and Loy, Chen Change and Lin, Dahua},
title = {Learning to Cluster Faces on an Affinity Graph},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition: Poojan Oza,

Vishal M. Patel; [pdf] [video]
[bibtex]
@InProceedings{Oza_2019_CVPR,
author = {Oza, Poojan and Patel, Vishal M.},
title = {C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Shapes and Context: In-The-Wild Image Synthesis & Manipulation: Aayush Bansal,

Yaser Sheikh,

Deva Ramanan; [pdf] [video]
[bibtex]
@InProceedings{Bansal_2019_CVPR,
author = {Bansal, Aayush and Sheikh, Yaser and Ramanan, Deva},
title = {Shapes and Context: In-The-Wild Image Synthesis & Manipulation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantics Disentangling for Text-To-Image Generation: Guojun Yin,

Bin Liu,

Lu Sheng,

Nenghai Yu,

Xiaogang Wang,

Jing Shao; [pdf] [video]
[bibtex]
@InProceedings{Yin_2019_CVPR,
author = {Yin, Guojun and Liu, Bin and Sheng, Lu and Yu, Nenghai and Wang, Xiaogang and Shao, Jing},
title = {Semantics Disentangling for Text-To-Image Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantic Image Synthesis With Spatially-Adaptive Normalization: Taesung Park,

Ming-Yu Liu,

Ting-Chun Wang,

Jun-Yan Zhu; [pdf] [video]
[bibtex]
@InProceedings{Park_2019_CVPR,
author = {Park, Taesung and Liu, Ming-Yu and Wang, Ting-Chun and Zhu, Jun-Yan},
title = {Semantic Image Synthesis With Spatially-Adaptive Normalization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Progressive Pose Attention Transfer for Person Image Generation: Zhen Zhu,

Tengteng Huang,

Baoguang Shi,

Miao Yu,

Bofei Wang,

Xiang Bai; [pdf] [video]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Zhen and Huang, Tengteng and Shi, Baoguang and Yu, Miao and Wang, Bofei and Bai, Xiang},
title = {Progressive Pose Attention Transfer for Person Image Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Person Image Generation With Semantic Parsing Transformation: Sijie Song,

Wei Zhang,

Jiaying Liu,

Tao Mei; [pdf] [supp] [video]
[bibtex]
@InProceedings{Song_2019_CVPR,
author = {Song, Sijie and Zhang, Wei and Liu, Jiaying and Mei, Tao},
title = {Unsupervised Person Image Generation With Semantic Parsing Transformation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepView: View Synthesis With Learned Gradient Descent: John Flynn,

Michael Broxton,

Paul Debevec,

Matthew DuVall,

Graham Fyffe,

Ryan Overbeck,

Noah Snavely,

Richard Tucker; [pdf] [supp] [video]
[bibtex]
@InProceedings{Flynn_2019_CVPR,
author = {Flynn, John and Broxton, Michael and Debevec, Paul and DuVall, Matthew and Fyffe, Graham and Overbeck, Ryan and Snavely, Noah and Tucker, Richard},
title = {DeepView: View Synthesis With Learned Gradient Descent},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Animating Arbitrary Objects via Deep Motion Transfer: Aliaksandr Siarohin,

Stephane Lathuiliere,

Sergey Tulyakov,

Elisa Ricci,

Nicu Sebe; [pdf] [supp] [video]
[bibtex]
@InProceedings{Siarohin_2019_CVPR,
author = {Siarohin, Aliaksandr and Lathuiliere, Stephane and Tulyakov, Sergey and Ricci, Elisa and Sebe, Nicu},
title = {Animating Arbitrary Objects via Deep Motion Transfer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Textured Neural Avatars: Aliaksandra Shysheya,

Egor Zakharov,

Kara-Ali Aliev,

Renat Bashirov,

Egor Burkov,

Karim Iskakov,

Aleksei Ivakhnenko,

Yury Malkov,

Igor Pasechnik,

Dmitry Ulyanov,

Alexander Vakhitov,

Victor Lempitsky; [pdf] [video]
[bibtex]
@InProceedings{Shysheya_2019_CVPR,
author = {Shysheya, Aliaksandra and Zakharov, Egor and Aliev, Kara-Ali and Bashirov, Renat and Burkov, Egor and Iskakov, Karim and Ivakhnenko, Aleksei and Malkov, Yury and Pasechnik, Igor and Ulyanov, Dmitry and Vakhitov, Alexander and Lempitsky, Victor},
title = {Textured Neural Avatars},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
IM-Net for High Resolution Video Frame Interpolation: Tomer Peleg,

Pablo Szekely,

Doron Sabo,

Omry Sendik; [pdf] [supp] [video]
[bibtex]
@InProceedings{Peleg_2019_CVPR,
author = {Peleg, Tomer and Szekely, Pablo and Sabo, Doron and Sendik, Omry},
title = {IM-Net for High Resolution Video Frame Interpolation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation: Ying-Cong Chen,

Xiaogang Xu,

Zhuotao Tian,

Jiaya Jia; [pdf] [video]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Ying-Cong and Xu, Xiaogang and Tian, Zhuotao and Jia, Jiaya},
title = {Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation: Hao Tang,

Dan Xu,

Nicu Sebe,

Yanzhi Wang,

Jason J. Corso,

Yan Yan; [pdf] [supp] [video]
[bibtex]
@InProceedings{Tang_2019_CVPR,
author = {Tang, Hao and Xu, Dan and Sebe, Nicu and Wang, Yanzhi and Corso, Jason J. and Yan, Yan},
title = {Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping: Huan Fu,

Mingming Gong,

Chaohui Wang,

Kayhan Batmanghelich,

Kun Zhang,

Dacheng Tao; [pdf] [video]
[bibtex]
@InProceedings{Fu_2019_CVPR,
author = {Fu, Huan and Gong, Mingming and Wang, Chaohui and Batmanghelich, Kayhan and Zhang, Kun and Tao, Dacheng},
title = {Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepVoxels: Learning Persistent 3D Feature Embeddings: Vincent Sitzmann,

Justus Thies,

Felix Heide,

Matthias Niessner,

Gordon Wetzstein,

Michael Zollhofer; [pdf] [supp] [video]
[bibtex]
@InProceedings{Sitzmann_2019_CVPR,
author = {Sitzmann, Vincent and Thies, Justus and Heide, Felix and Niessner, Matthias and Wetzstein, Gordon and Zollhofer, Michael},
title = {DeepVoxels: Learning Persistent 3D Feature Embeddings},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Inverse Path Tracing for Joint Material and Lighting Estimation: Dejan Azinovic,

Tzu-Mao Li,

Anton Kaplanyan,

Matthias Niessner; [pdf] [supp] [video]
[bibtex]
@InProceedings{Azinovic_2019_CVPR,
author = {Azinovic, Dejan and Li, Tzu-Mao and Kaplanyan, Anton and Niessner, Matthias},
title = {Inverse Path Tracing for Joint Material and Lighting Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
The Visual Centrifuge: Model-Free Layered Video Representations: Jean-Baptiste Alayrac,

Joao Carreira,

Andrew Zisserman; [pdf] [video]
[bibtex]
@InProceedings{Alayrac_2019_CVPR,
author = {Alayrac, Jean-Baptiste and Carreira, Joao and Zisserman, Andrew},
title = {The Visual Centrifuge: Model-Free Layered Video Representations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Label-Noise Robust Generative Adversarial Networks: Takuhiro Kaneko,

Yoshitaka Ushiku,

Tatsuya Harada; [pdf] [video]
[bibtex]
@InProceedings{Kaneko_2019_CVPR,
author = {Kaneko, Takuhiro and Ushiku, Yoshitaka and Harada, Tatsuya},
title = {Label-Noise Robust Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DLOW: Domain Flow for Adaptation and Generalization: Rui Gong,

Wen Li,

Yuhua Chen,

Luc Van Gool; [pdf] [supp] [video]
[bibtex]
@InProceedings{Gong_2019_CVPR,
author = {Gong, Rui and Li, Wen and Chen, Yuhua and Gool, Luc Van},
title = {DLOW: Domain Flow for Adaptation and Generalization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
CollaGAN: Collaborative GAN for Missing Image Data Imputation: Dongwook Lee,

Junyoung Kim,

Won-Jin Moon,

Jong Chul Ye; [pdf] [supp] [video]
[bibtex]
@InProceedings{Lee_2019_CVPR,
author = {Lee, Dongwook and Kim, Junyoung and Moon, Won-Jin and Ye, Jong Chul},
title = {CollaGAN: Collaborative GAN for Missing Image Data Imputation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding: Xiang Xu,

Xiong Zhou,

Ragav Venkatesan,

Gurumurthy Swaminathan,

Orchid Majumder; [pdf] [video]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Xiang and Zhou, Xiong and Venkatesan, Ragav and Swaminathan, Gurumurthy and Majumder, Orchid},
title = {d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation: Yawei Luo,

Liang Zheng,

Tao Guan,

Junqing Yu,

Yi Yang; [pdf] [video]
[bibtex]
@InProceedings{Luo_2019_CVPR,
author = {Luo, Yawei and Zheng, Liang and Guan, Tao and Yu, Junqing and Yang, Yi},
title = {Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation: Tuan-Hung Vu,

Himalaya Jain,

Maxime Bucher,

Matthieu Cord,

Patrick Perez; [pdf] [supp] [video]
[bibtex]
@InProceedings{Vu_2019_CVPR,
author = {Vu, Tuan-Hung and Jain, Himalaya and Bucher, Maxime and Cord, Matthieu and Perez, Patrick},
title = {ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ContextDesc: Local Descriptor Augmentation With Cross-Modality Context: Zixin Luo,

Tianwei Shen,

Lei Zhou,

Jiahui Zhang,

Yao Yao,

Shiwei Li,

Tian Fang,

Long Quan; [pdf] [supp] [video]
[bibtex]
@InProceedings{Luo_2019_CVPR,
author = {Luo, Zixin and Shen, Tianwei and Zhou, Lei and Zhang, Jiahui and Yao, Yao and Li, Shiwei and Fang, Tian and Quan, Long},
title = {ContextDesc: Local Descriptor Augmentation With Cross-Modality Context},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Large-Scale Long-Tailed Recognition in an Open World: Ziwei Liu,

Zhongqi Miao,

Xiaohang Zhan,

Jiayun Wang,

Boqing Gong,

Stella X. Yu; [pdf] [video]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Ziwei and Miao, Zhongqi and Zhan, Xiaohang and Wang, Jiayun and Gong, Boqing and Yu, Stella X.},
title = {Large-Scale Long-Tailed Recognition in an Open World},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data: Liheng Zhang,

Guo-Jun Qi,

Liqiang Wang,

Jiebo Luo; [pdf] [video]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Liheng and Qi, Guo-Jun and Wang, Liqiang and Luo, Jiebo},
title = {AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks: Rene Schuster,

Oliver Wasenmuller,

Christian Unger,

Didier Stricker; [pdf] [supp] [video]
[bibtex]
@InProceedings{Schuster_2019_CVPR,
author = {Schuster, Rene and Wasenmuller, Oliver and Unger, Christian and Stricker, Didier},
title = {SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Correspondence From the Cycle-Consistency of Time: Xiaolong Wang,

Allan Jabri,

Alexei A. Efros; [pdf] [supp] [video]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Xiaolong and Jabri, Allan and Efros, Alexei A.},
title = {Learning Correspondence From the Cycle-Consistency of Time},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AE2-Nets: Autoencoder in Autoencoder Networks: Changqing Zhang,

Yeqing Liu,

Huazhu Fu; [pdf] [video]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Changqing and Liu, Yeqing and Fu, Huazhu},
title = {AE2-Nets: Autoencoder in Autoencoder Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach: Proteek Chandan Roy,

Vishnu Naresh Boddeti; [pdf] [supp] [video]
[bibtex]
@InProceedings{Roy_2019_CVPR,
author = {Roy, Proteek Chandan and Boddeti, Vishnu Naresh},
title = {Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Spatial Common Sense With Geometry-Aware Recurrent Networks: Hsiao-Yu Fish Tung,

Ricson Cheng,

Katerina Fragkiadaki; [pdf] [supp] [video]
[bibtex]
@InProceedings{Tung_2019_CVPR,
author = {Tung, Hsiao-Yu Fish and Cheng, Ricson and Fragkiadaki, Katerina},
title = {Learning Spatial Common Sense With Geometry-Aware Recurrent Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Structured Knowledge Distillation for Semantic Segmentation: Yifan Liu,

Ke Chen,

Chris Liu,

Zengchang Qin,

Zhenbo Luo,

Jingdong Wang; [pdf] [video]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Yifan and Chen, Ke and Liu, Chris and Qin, Zengchang and Luo, Zhenbo and Wang, Jingdong},
title = {Structured Knowledge Distillation for Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans: Armen Avetisyan,

Manuel Dahnert,

Angela Dai,

Manolis Savva,

Angel X. Chang,

Matthias Niessner; [pdf] [supp] [video]
[bibtex]
@InProceedings{Avetisyan_2019_CVPR,
author = {Avetisyan, Armen and Dahnert, Manuel and Dai, Angela and Savva, Manolis and Chang, Angel X. and Niessner, Matthias},
title = {Scan2CAD: Learning CAD Model Alignment in RGB-D Scans},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation: Po-Yi Chen,

Alexander H. Liu,

Yen-Cheng Liu,

Yu-Chiang Frank Wang; [pdf] [supp] [video]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Po-Yi and Liu, Alexander H. and Liu, Yen-Cheng and Wang, Yu-Chiang Frank},
title = {Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Tell Me Where I Am: Object-Level Scene Context Prediction: Xiaotian Qiao,

Quanlong Zheng,

Ying Cao,

Rynson W.H. Lau; [pdf] [supp] [video]
[bibtex]
@InProceedings{Qiao_2019_CVPR,
author = {Qiao, Xiaotian and Zheng, Quanlong and Cao, Ying and Lau, Rynson W.H.},
title = {Tell Me Where I Am: Object-Level Scene Context Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation: He Wang,

Srinath Sridhar,

Jingwei Huang,

Julien Valentin,

Shuran Song,

Leonidas J. Guibas; [pdf] [supp] [video]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, He and Sridhar, Srinath and Huang, Jingwei and Valentin, Julien and Song, Shuran and Guibas, Leonidas J.},
title = {Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Supervised Fitting of Geometric Primitives to 3D Point Clouds: Lingxiao Li,

Minhyuk Sung,

Anastasia Dubrovina,

Li Yi,

Leonidas J. Guibas; [pdf] [supp] [video]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Lingxiao and Sung, Minhyuk and Dubrovina, Anastasia and Yi, Li and Guibas, Leonidas J.},
title = {Supervised Fitting of Geometric Primitives to 3D Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Do Better ImageNet Models Transfer Better?: Simon Kornblith,

Jonathon Shlens,

Quoc V. Le; [pdf] [supp] [video]
[bibtex]
@InProceedings{Kornblith_2019_CVPR,
author = {Kornblith, Simon and Shlens, Jonathon and Le, Quoc V.},
title = {Do Better ImageNet Models Transfer Better?},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild: Luan Tran,

Kihyuk Sohn,

Xiang Yu,

Xiaoming Liu,

Manmohan Chandraker; [pdf] [supp]
[bibtex]
@InProceedings{Tran_2019_CVPR,
author = {Tran, Luan and Sohn, Kihyuk and Yu, Xiang and Liu, Xiaoming and Chandraker, Manmohan},
title = {Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift: Xiang Li,

Shuo Chen,

Xiaolin Hu,

Jian Yang; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Xiang and Chen, Shuo and Hu, Xiaolin and Yang, Jian},
title = {Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation: Chunlei Liu,

Wenrui Ding,

Xin Xia,

Baochang Zhang,

Jiaxin Gu,

Jianzhuang Liu,

Rongrong Ji,

David Doermann; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Chunlei and Ding, Wenrui and Xia, Xin and Zhang, Baochang and Gu, Jiaxin and Liu, Jianzhuang and Ji, Rongrong and Doermann, David},
title = {Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features: Chang Tang,

Xinzhong Zhu,

Xinwang Liu,

Lizhe Wang,

Albert Zomaya; [pdf] [supp]
[bibtex]
@InProceedings{Tang_2019_CVPR,
author = {Tang, Chang and Zhu, Xinzhong and Liu, Xinwang and Wang, Lizhe and Zomaya, Albert},
title = {DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks: Eunwoo Kim,

Chanho Ahn,

Philip H.S. Torr,

Songhwai Oh; [pdf]
[bibtex]
@InProceedings{Kim_2019_CVPR,
author = {Kim, Eunwoo and Ahn, Chanho and Torr, Philip H.S. and Oh, Songhwai},
title = {Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Universal Domain Adaptation: Kaichao You,

Mingsheng Long,

Zhangjie Cao,

Jianmin Wang,

Michael I. Jordan; [pdf]
[bibtex]
@InProceedings{You_2019_CVPR,
author = {You, Kaichao and Long, Mingsheng and Cao, Zhangjie and Wang, Jianmin and Jordan, Michael I.},
title = {Universal Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Improving Transferability of Adversarial Examples With Input Diversity: Cihang Xie,

Zhishuai Zhang,

Yuyin Zhou,

Song Bai,

Jianyu Wang,

Zhou Ren,

Alan L. Yuille; [pdf]
[bibtex]
@InProceedings{Xie_2019_CVPR,
author = {Xie, Cihang and Zhang, Zhishuai and Zhou, Yuyin and Bai, Song and Wang, Jianyu and Ren, Zhou and Yuille, Alan L.},
title = {Improving Transferability of Adversarial Examples With Input Diversity},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition: Yaping Zhang,

Shuai Nie,

Wenju Liu,

Xing Xu,

Dongxiang Zhang,

Heng Tao Shen; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yaping and Nie, Shuai and Liu, Wenju and Xu, Xing and Zhang, Dongxiang and Shen, Heng Tao},
title = {Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval: Binghui Chen,

Weihong Deng; [pdf]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Binghui and Deng, Weihong},
title = {Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Sample: Oren Dovrat,

Itai Lang,

Shai Avidan; [pdf] [supp]
[bibtex]
@InProceedings{Dovrat_2019_CVPR,
author = {Dovrat, Oren and Lang, Itai and Avidan, Shai},
title = {Learning to Sample},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Few-Shot Learning via Saliency-Guided Hallucination of Samples: Hongguang Zhang,

Jing Zhang,

Piotr Koniusz; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Hongguang and Zhang, Jing and Koniusz, Piotr},
title = {Few-Shot Learning via Saliency-Guided Hallucination of Samples},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Variational Convolutional Neural Network Pruning: Chenglong Zhao,

Bingbing Ni,

Jian Zhang,

Qiwei Zhao,

Wenjun Zhang,

Qi Tian; [pdf]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Chenglong and Ni, Bingbing and Zhang, Jian and Zhao, Qiwei and Zhang, Wenjun and Tian, Qi},
title = {Variational Convolutional Neural Network Pruning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning: Shaohui Lin,

Rongrong Ji,

Chenqian Yan,

Baochang Zhang,

Liujuan Cao,

Qixiang Ye,

Feiyue Huang,

David Doermann; [pdf]
[bibtex]
@InProceedings{Lin_2019_CVPR,
author = {Lin, Shaohui and Ji, Rongrong and Yan, Chenqian and Zhang, Baochang and Cao, Liujuan and Ye, Qixiang and Huang, Feiyue and Doermann, David},
title = {Towards Optimal Structured CNN Pruning via Generative Adversarial Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression: Yuchao Li,

Shaohui Lin,

Baochang Zhang,

Jianzhuang Liu,

David Doermann,

Yongjian Wu,

Feiyue Huang,

Rongrong Ji; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yuchao and Lin, Shaohui and Zhang, Baochang and Liu, Jianzhuang and Doermann, David and Wu, Yongjian and Huang, Feiyue and Ji, Rongrong},
title = {Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fully Quantized Network for Object Detection: Rundong Li,

Yan Wang,

Feng Liang,

Hongwei Qin,

Junjie Yan,

Rui Fan; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Rundong and Wang, Yan and Liang, Feng and Qin, Hongwei and Yan, Junjie and Fan, Rui},
title = {Fully Quantized Network for Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MnasNet: Platform-Aware Neural Architecture Search for Mobile: Mingxing Tan,

Bo Chen,

Ruoming Pang,

Vijay Vasudevan,

Mark Sandler,

Andrew Howard,

Quoc V. Le; [pdf]
[bibtex]
@InProceedings{Tan_2019_CVPR,
author = {Tan, Mingxing and Chen, Bo and Pang, Ruoming and Vasudevan, Vijay and Sandler, Mark and Howard, Andrew and Le, Quoc V.},
title = {MnasNet: Platform-Aware Neural Architecture Search for Mobile},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More: Jingwen Ye,

Yixin Ji,

Xinchao Wang,

Kairi Ou,

Dapeng Tao,

Mingli Song; [pdf] [supp]
[bibtex]
@InProceedings{Ye_2019_CVPR,
author = {Ye, Jingwen and Ji, Yixin and Wang, Xinchao and Ou, Kairi and Tao, Dapeng and Song, Mingli},
title = {Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
K-Nearest Neighbors Hashing: Xiangyu He,

Peisong Wang,

Jian Cheng; [pdf]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Xiangyu and Wang, Peisong and Cheng, Jian},
title = {K-Nearest Neighbors Hashing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning RoI Transformer for Oriented Object Detection in Aerial Images: Jian Ding,

Nan Xue,

Yang Long,

Gui-Song Xia,

Qikai Lu; [pdf]
[bibtex]
@InProceedings{Ding_2019_CVPR,
author = {Ding, Jian and Xue, Nan and Long, Yang and Xia, Gui-Song and Lu, Qikai},
title = {Learning RoI Transformer for Oriented Object Detection in Aerial Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Snapshot Distillation: Teacher-Student Optimization in One Generation: Chenglin Yang,

Lingxi Xie,

Chi Su,

Alan L. Yuille; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Chenglin and Xie, Lingxi and Su, Chi and Yuille, Alan L.},
title = {Snapshot Distillation: Teacher-Student Optimization in One Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Geometry-Aware Distillation for Indoor Semantic Segmentation: Jianbo Jiao,

Yunchao Wei,

Zequn Jie,

Honghui Shi,

Rynson W.H. Lau,

Thomas S. Huang; [pdf]
[bibtex]
@InProceedings{Jiao_2019_CVPR,
author = {Jiao, Jianbo and Wei, Yunchao and Jie, Zequn and Shi, Honghui and Lau, Rynson W.H. and Huang, Thomas S.},
title = {Geometry-Aware Distillation for Indoor Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search: John Collomosse,

Tu Bui,

Hailin Jin; [pdf] [supp]
[bibtex]
@InProceedings{Collomosse_2019_CVPR,
author = {Collomosse, John and Bui, Tu and Jin, Hailin},
title = {LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bounding Box Regression With Uncertainty for Accurate Object Detection: Yihui He,

Chenchen Zhu,

Jianren Wang,

Marios Savvides,

Xiangyu Zhang; [pdf]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Yihui and Zhu, Chenchen and Wang, Jianren and Savvides, Marios and Zhang, Xiangyu},
title = {Bounding Box Regression With Uncertainty for Accurate Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations: Pramuditha Perera,

Ramesh Nallapati,

Bing Xiang; [pdf]
[bibtex]
@InProceedings{Perera_2019_CVPR,
author = {Perera, Pramuditha and Nallapati, Ramesh and Xiang, Bing},
title = {OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Metrics From Teachers: Compact Networks for Image Embedding: Lu Yu,

Vacit Oguz Yazici,

Xialei Liu,

Joost van de Weijer,

Yongmei Cheng,

Arnau Ramisa; [pdf]
[bibtex]
@InProceedings{Yu_2019_CVPR,
author = {Yu, Lu and Yazici, Vacit Oguz and Liu, Xialei and Weijer, Joost van de and Cheng, Yongmei and Ramisa, Arnau},
title = {Learning Metrics From Teachers: Compact Networks for Image Embedding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Activity Driven Weakly Supervised Object Detection: Zhenheng Yang,

Dhruv Mahajan,

Deepti Ghadiyaram,

Ram Nevatia,

Vignesh Ramanathan; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Zhenheng and Mahajan, Dhruv and Ghadiyaram, Deepti and Nevatia, Ram and Ramanathan, Vignesh},
title = {Activity Driven Weakly Supervised Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation: Hong Liu,

Zhangjie Cao,

Mingsheng Long,

Jianmin Wang,

Qiang Yang; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Hong and Cao, Zhangjie and Long, Mingsheng and Wang, Jianmin and Yang, Qiang},
title = {Separate to Adapt: Open Set Domain Adaptation via Progressive Separation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Layout-Graph Reasoning for Fashion Landmark Detection: Weijiang Yu,

Xiaodan Liang,

Ke Gong,

Chenhan Jiang,

Nong Xiao,

Liang Lin; [pdf] [supp]
[bibtex]
@InProceedings{Yu_2019_CVPR,
author = {Yu, Weijiang and Liang, Xiaodan and Gong, Ke and Jiang, Chenhan and Xiao, Nong and Lin, Liang},
title = {Layout-Graph Reasoning for Fashion Landmark Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs: Erkun Yang,

Tongliang Liu,

Cheng Deng,

Wei Liu,

Dacheng Tao; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Erkun and Liu, Tongliang and Deng, Cheng and Liu, Wei and Tao, Dacheng},
title = {DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks: Junjie Zhang,

Qi Wu,

Jian Zhang,

Chunhua Shen,

Jianfeng Lu; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Junjie and Wu, Qi and Zhang, Jian and Shen, Chunhua and Lu, Jianfeng},
title = {Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Region Proposal by Guided Anchoring: Jiaqi Wang,

Kai Chen,

Shuo Yang,

Chen Change Loy,

Dahua Lin; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Jiaqi and Chen, Kai and Yang, Shuo and Loy, Chen Change and Lin, Dahua},
title = {Region Proposal by Guided Anchoring},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation: Jian Liang,

Ran He,

Zhenan Sun,

Tieniu Tan; [pdf] [supp]
[bibtex]
@InProceedings{Liang_2019_CVPR,
author = {Liang, Jian and He, Ran and Sun, Zhenan and Tan, Tieniu},
title = {Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Transfer Examples for Partial Domain Adaptation: Zhangjie Cao,

Kaichao You,

Mingsheng Long,

Jianmin Wang,

Qiang Yang; [pdf]
[bibtex]
@InProceedings{Cao_2019_CVPR,
author = {Cao, Zhangjie and You, Kaichao and Long, Mingsheng and Wang, Jianmin and Yang, Qiang},
title = {Learning to Transfer Examples for Partial Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generalized Zero-Shot Recognition Based on Visually Semantic Embedding: Pengkai Zhu,

Hanxiao Wang,

Venkatesh Saligrama; [pdf]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Pengkai and Wang, Hanxiao and Saligrama, Venkatesh},
title = {Generalized Zero-Shot Recognition Based on Visually Semantic Embedding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Visual Feature Translation: Jie Hu,

Rongrong Ji,

Hong Liu,

Shengchuan Zhang,

Cheng Deng,

Qi Tian; [pdf]
[bibtex]
@InProceedings{Hu_2019_CVPR,
author = {Hu, Jie and Ji, Rongrong and Liu, Hong and Zhang, Shengchuan and Deng, Cheng and Tian, Qi},
title = {Towards Visual Feature Translation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Amodal Instance Segmentation With KINS Dataset: Lu Qi,

Li Jiang,

Shu Liu,

Xiaoyong Shen,

Jiaya Jia; [pdf] [supp]
[bibtex]
@InProceedings{Qi_2019_CVPR,
author = {Qi, Lu and Jiang, Li and Liu, Shu and Shen, Xiaoyong and Jia, Jiaya},
title = {Amodal Instance Segmentation With KINS Dataset},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Global Second-Order Pooling Convolutional Networks: Zilin Gao,

Jiangtao Xie,

Qilong Wang,

Peihua Li; [pdf]
[bibtex]
@InProceedings{Gao_2019_CVPR,
author = {Gao, Zilin and Xie, Jiangtao and Wang, Qilong and Li, Peihua},
title = {Global Second-Order Pooling Convolutional Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up: Weifeng Ge,

Xiangru Lin,

Yizhou Yu; [pdf] [supp]
[bibtex]
@InProceedings{Ge_2019_CVPR,
author = {Ge, Weifeng and Lin, Xiangru and Yu, Yizhou},
title = {Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
NetTailor: Tuning the Architecture, Not Just the Weights: Pedro Morgado,

Nuno Vasconcelos; [pdf]
[bibtex]
@InProceedings{Morgado_2019_CVPR,
author = {Morgado, Pedro and Vasconcelos, Nuno},
title = {NetTailor: Tuning the Architecture, Not Just the Weights},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning-Based Sampling for Natural Image Matting: Jingwei Tang,

Yagiz Aksoy,

Cengiz Oztireli,

Markus Gross,

Tunc Ozan Aydin; [pdf]
[bibtex]
@InProceedings{Tang_2019_CVPR,
author = {Tang, Jingwei and Aksoy, Yagiz and Oztireli, Cengiz and Gross, Markus and Aydin, Tunc Ozan},
title = {Learning-Based Sampling for Natural Image Matting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Unsupervised Video Object Segmentation Through Visual Attention: Wenguan Wang,

Hongmei Song,

Shuyang Zhao,

Jianbing Shen,

Sanyuan Zhao,

Steven C. H. Hoi,

Haibin Ling; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Wenguan and Song, Hongmei and Zhao, Shuyang and Shen, Jianbing and Zhao, Sanyuan and Hoi, Steven C. H. and Ling, Haibin},
title = {Learning Unsupervised Video Object Segmentation Through Visual Attention},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks: Christopher Choy,

JunYoung Gwak,

Silvio Savarese; [pdf] [supp]
[bibtex]
@InProceedings{Choy_2019_CVPR,
author = {Choy, Christopher and Gwak, JunYoung and Savarese, Silvio},
title = {4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pyramid Feature Attention Network for Saliency Detection: Ting Zhao,

Xiangqian Wu; [pdf]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Ting and Wu, Xiangqian},
title = {Pyramid Feature Attention Network for Saliency Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing: Kaihua Zhang,

Tengpeng Li,

Bo Liu,

Qingshan Liu; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Kaihua and Li, Tengpeng and Liu, Bo and Liu, Qingshan},
title = {Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines: Yuan-Ting Hu,

Hong-Shuo Chen,

Kexin Hui,

Jia-Bin Huang,

Alexander G. Schwing; [pdf]
[bibtex]
@InProceedings{Hu_2019_CVPR,
author = {Hu, Yuan-Ting and Chen, Hong-Shuo and Hui, Kexin and Huang, Jia-Bin and Schwing, Alexander G.},
title = {SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation: Yi Zhu,

Yanzhao Zhou,

Huijuan Xu,

Qixiang Ye,

David Doermann,

Jianbin Jiao; [pdf]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Yi and Zhou, Yanzhao and Xu, Huijuan and Ye, Qixiang and Doermann, David and Jiao, Jianbin},
title = {Learning Instance Activation Maps for Weakly Supervised Instance Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation: Zhi Tian,

Tong He,

Chunhua Shen,

Youliang Yan; [pdf]
[bibtex]
@InProceedings{Tian_2019_CVPR,
author = {Tian, Zhi and He, Tong and Shen, Chunhua and Yan, Youliang},
title = {Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation: Chunfeng Song,

Yan Huang,

Wanli Ouyang,

Liang Wang; [pdf]
[bibtex]
@InProceedings{Song_2019_CVPR,
author = {Song, Chunfeng and Huang, Yan and Ouyang, Wanli and Wang, Liang},
title = {Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dual Attention Network for Scene Segmentation: Jun Fu,

Jing Liu,

Haijie Tian,

Yong Li,

Yongjun Bao,

Zhiwei Fang,

Hanqing Lu; [pdf]
[bibtex]
@InProceedings{Fu_2019_CVPR,
author = {Fu, Jun and Liu, Jing and Tian, Haijie and Li, Yong and Bao, Yongjun and Fang, Zhiwei and Lu, Hanqing},
title = {Dual Attention Network for Scene Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
InverseRenderNet: Learning Single Image Inverse Rendering: Ye Yu,

William A. P. Smith; [pdf]
[bibtex]
@InProceedings{Yu_2019_CVPR,
author = {Yu, Ye and Smith, William A. P.},
title = {InverseRenderNet: Learning Single Image Inverse Rendering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Variational Auto-Encoder Model for Stochastic Point Processes: Nazanin Mehrasa,

Akash Abdu Jyothi,

Thibaut Durand,

Jiawei He,

Leonid Sigal,

Greg Mori; [pdf]
[bibtex]
@InProceedings{Mehrasa_2019_CVPR,
author = {Mehrasa, Nazanin and Jyothi, Akash Abdu and Durand, Thibaut and He, Jiawei and Sigal, Leonid and Mori, Greg},
title = {A Variational Auto-Encoder Model for Stochastic Point Processes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unifying Heterogeneous Classifiers With Distillation: Jayakorn Vongkulbhisal,

Phongtharin Vinayavekhin,

Marco Visentini-Scarzanella; [pdf] [supp]
[bibtex]
@InProceedings{Vongkulbhisal_2019_CVPR,
author = {Vongkulbhisal, Jayakorn and Vinayavekhin, Phongtharin and Visentini-Scarzanella, Marco},
title = {Unifying Heterogeneous Classifiers With Distillation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Assessment of Faster R-CNN in Man-Machine Collaborative Search: Arturo Deza,

Amit Surana,

Miguel P. Eckstein; [pdf]
[bibtex]
@InProceedings{Deza_2019_CVPR,
author = {Deza, Arturo and Surana, Amit and Eckstein, Miguel P.},
title = {Assessment of Faster R-CNN in Man-Machine Collaborative Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge: Kenneth Marino,

Mohammad Rastegari,

Ali Farhadi,

Roozbeh Mottaghi; [pdf] [supp]
[bibtex]
@InProceedings{Marino_2019_CVPR,
author = {Marino, Kenneth and Rastegari, Mohammad and Farhadi, Ali and Mottaghi, Roozbeh},
title = {OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction: Yuan Gao,

Jiayi Ma,

Mingbo Zhao,

Wei Liu,

Alan L. Yuille; [pdf] [supp]
[bibtex]
@InProceedings{Gao_2019_CVPR,
author = {Gao, Yuan and Ma, Jiayi and Zhao, Mingbo and Liu, Wei and Yuille, Alan L.},
title = {NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spectral Metric for Dataset Complexity Assessment: Frederic Branchaud-Charron,

Andrew Achkar,

Pierre-Marc Jodoin; [pdf] [supp]
[bibtex]
@InProceedings{Branchaud-Charron_2019_CVPR,
author = {Branchaud-Charron, Frederic and Achkar, Andrew and Jodoin, Pierre-Marc},
title = {Spectral Metric for Dataset Complexity Assessment},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding: Ning Liu,

Yongchao Long,

Changqing Zou,

Qun Niu,

Li Pan,

Hefeng Wu; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Ning and Long, Yongchao and Zou, Changqing and Niu, Qun and Pan, Li and Wu, Hefeng},
title = {ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild: Yihang Lou,

Yan Bai,

Jun Liu,

Shiqi Wang,

Lingyu Duan; [pdf]
[bibtex]
@InProceedings{Lou_2019_CVPR,
author = {Lou, Yihang and Bai, Yan and Liu, Jun and Wang, Shiqi and Duan, Lingyu},
title = {VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D Local Features for Direct Pairwise Registration: Haowen Deng,

Tolga Birdal,

Slobodan Ilic; [pdf] [supp]
[bibtex]
@InProceedings{Deng_2019_CVPR,
author = {Deng, Haowen and Birdal, Tolga and Ilic, Slobodan},
title = {3D Local Features for Direct Pairwise Registration},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds: Xiuye Gu,

Yijie Wang,

Chongruo Wu,

Yong Jae Lee,

Panqu Wang; [pdf] [supp]
[bibtex]
@InProceedings{Gu_2019_CVPR,
author = {Gu, Xiuye and Wang, Yijie and Wu, Chongruo and Lee, Yong Jae and Wang, Panqu},
title = {HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices: Yoni Kasten,

Amnon Geifman,

Meirav Galun,

Ronen Basri; [pdf] [supp]
[bibtex]
@InProceedings{Kasten_2019_CVPR,
author = {Kasten, Yoni and Geifman, Amnon and Galun, Meirav and Basri, Ronen},
title = {GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Group-Wise Correlation Stereo Network: Xiaoyang Guo,

Kai Yang,

Wukui Yang,

Xiaogang Wang,

Hongsheng Li; [pdf]
[bibtex]
@InProceedings{Guo_2019_CVPR,
author = {Guo, Xiaoyang and Yang, Kai and Yang, Wukui and Wang, Xiaogang and Li, Hongsheng},
title = {Group-Wise Correlation Stereo Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Level Context Ultra-Aggregation for Stereo Matching: Guang-Yu Nie,

Ming-Ming Cheng,

Yun Liu,

Zhengfa Liang,

Deng-Ping Fan,

Yue Liu,

Yongtian Wang; [pdf] [supp]
[bibtex]
@InProceedings{Nie_2019_CVPR,
author = {Nie, Guang-Yu and Cheng, Ming-Ming and Liu, Yun and Liang, Zhengfa and Fan, Deng-Ping and Liu, Yue and Wang, Yongtian},
title = {Multi-Level Context Ultra-Aggregation for Stereo Matching},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Large-Scale, Metric Structure From Motion for Unordered Light Fields: Sotiris Nousias,

Manolis Lourakis,

Christos Bergeles; [pdf]
[bibtex]
@InProceedings{Nousias_2019_CVPR,
author = {Nousias, Sotiris and Lourakis, Manolis and Bergeles, Christos},
title = {Large-Scale, Metric Structure From Motion for Unordered Light Fields},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression: Torsten Sattler,

Qunjie Zhou,

Marc Pollefeys,

Laura Leal-Taixe; [pdf] [supp]
[bibtex]
@InProceedings{Sattler_2019_CVPR,
author = {Sattler, Torsten and Zhou, Qunjie and Pollefeys, Marc and Leal-Taixe, Laura},
title = {Understanding the Limitations of CNN-Based Absolute Camera Pose Regression},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image: Jiaxiong Qiu,

Zhaopeng Cui,

Yinda Zhang,

Xingdi Zhang,

Shuaicheng Liu,

Bing Zeng,

Marc Pollefeys; [pdf] [supp]
[bibtex]
@InProceedings{Qiu_2019_CVPR,
author = {Qiu, Jiaxiong and Cui, Zhaopeng and Zhang, Yinda and Zhang, Xingdi and Liu, Shuaicheng and Zeng, Bing and Pollefeys, Marc},
title = {DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling: Jiancheng Yang,

Qiang Zhang,

Bingbing Ni,

Linguo Li,

Jinxian Liu,

Mengdie Zhou,

Qi Tian; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Jiancheng and Zhang, Qiang and Ni, Bingbing and Li, Linguo and Liu, Jinxian and Zhou, Mengdie and Tian, Qi},
title = {Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition: Lin Xu,

Han Sun,

Yuai Liu; [pdf]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Lin and Sun, Han and Liu, Yuai},
title = {Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion: Chen Wang,

Danfei Xu,

Yuke Zhu,

Roberto Martin-Martin,

Cewu Lu,

Li Fei-Fei,

Silvio Savarese; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Chen and Xu, Danfei and Zhu, Yuke and Martin-Martin, Roberto and Lu, Cewu and Fei-Fei, Li and Savarese, Silvio},
title = {DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dense Depth Posterior (DDP) From Single Image and Sparse Range: Yanchao Yang,

Alex Wong,

Stefano Soatto; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Yanchao and Wong, Alex and Soatto, Stefano},
title = {Dense Depth Posterior (DDP) From Single Image and Sparse Range},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama: Shang-Ta Yang,

Fu-En Wang,

Chi-Han Peng,

Peter Wonka,

Min Sun,

Hung-Kuo Chu; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Shang-Ta and Wang, Fu-En and Peng, Chi-Han and Wonka, Peter and Sun, Min and Chu, Hung-Kuo},
title = {DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach: Amir Atapour-Abarghouei,

Toby P. Breckon; [pdf] [supp]
[bibtex]
@InProceedings{Atapour-Abarghouei_2019_CVPR,
author = {Atapour-Abarghouei, Amir and Breckon, Toby P.},
title = {Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Segmentation-Driven 6D Object Pose Estimation: Yinlin Hu,

Joachim Hugonot,

Pascal Fua,

Mathieu Salzmann; [pdf]
[bibtex]
@InProceedings{Hu_2019_CVPR,
author = {Hu, Yinlin and Hugonot, Joachim and Fua, Pascal and Salzmann, Mathieu},
title = {Segmentation-Driven 6D Object Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild: Anurag Arnab,

Carl Doersch,

Andrew Zisserman; [pdf] [supp]
[bibtex]
@InProceedings{Arnab_2019_CVPR,
author = {Arnab, Anurag and Doersch, Carl and Zisserman, Andrew},
title = {Exploiting Temporal Context for 3D Human Pose Estimation in the Wild},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
What Do Single-View 3D Reconstruction Networks Learn?: Maxim Tatarchenko,

Stephan R. Richter,

Rene Ranftl,

Zhuwen Li,

Vladlen Koltun,

Thomas Brox; [pdf]
[bibtex]
@InProceedings{Tatarchenko_2019_CVPR,
author = {Tatarchenko, Maxim and Richter, Stephan R. and Ranftl, Rene and Li, Zhuwen and Koltun, Vladlen and Brox, Thomas},
title = {What Do Single-View 3D Reconstruction Networks Learn?},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
UniformFace: Learning Deep Equidistributed Representation for Face Recognition: Yueqi Duan,

Jiwen Lu,

Jie Zhou; [pdf]
[bibtex]
@InProceedings{Duan_2019_CVPR,
author = {Duan, Yueqi and Lu, Jiwen and Zhou, Jie},
title = {UniformFace: Learning Deep Equidistributed Representation for Face Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantic Graph Convolutional Networks for 3D Human Pose Regression: Long Zhao,

Xi Peng,

Yu Tian,

Mubbasir Kapadia,

Dimitris N. Metaxas; [pdf]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Long and Peng, Xi and Tian, Yu and Kapadia, Mubbasir and Metaxas, Dimitris N.},
title = {Semantic Graph Convolutional Networks for 3D Human Pose Regression},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mask-Guided Portrait Editing With Conditional GANs: Shuyang Gu,

Jianmin Bao,

Hao Yang,

Dong Chen,

Fang Wen,

Lu Yuan; [pdf]
[bibtex]
@InProceedings{Gu_2019_CVPR,
author = {Gu, Shuyang and Bao, Jianmin and Yang, Hao and Chen, Dong and Wen, Fang and Yuan, Lu},
title = {Mask-Guided Portrait Editing With Conditional GANs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Group Sampling for Scale Invariant Face Detection: Xiang Ming,

Fangyun Wei,

Ting Zhang,

Dong Chen,

Fang Wen; [pdf] [supp]
[bibtex]
@InProceedings{Ming_2019_CVPR,
author = {Ming, Xiang and Wei, Fangyun and Zhang, Ting and Chen, Dong and Wen, Fang},
title = {Group Sampling for Scale Invariant Face Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation: Yong Zhang,

Baoyuan Wu,

Weiming Dong,

Zhifeng Li,

Wei Liu,

Bao-Gang Hu,

Qiang Ji; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yong and Wu, Baoyuan and Dong, Weiming and Li, Zhifeng and Liu, Wei and Hu, Bao-Gang and Ji, Qiang},
title = {Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection: Zhiwei Liu,

Xiangyu Zhu,

Guosheng Hu,

Haiyun Guo,

Ming Tang,

Zhen Lei,

Neil M. Robertson,

Jinqiao Wang; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Zhiwei and Zhu, Xiangyu and Hu, Guosheng and Guo, Haiyun and Tang, Ming and Lei, Zhen and Robertson, Neil M. and Wang, Jinqiao},
title = {Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LAEO-Net: Revisiting People Looking at Each Other in Videos: Manuel J. Marin-Jimenez,

Vicky Kalogeiton,

Pablo Medina-Suarez,

Andrew Zisserman; [pdf]
[bibtex]
@InProceedings{Marin-Jimenez_2019_CVPR,
author = {Marin-Jimenez, Manuel J. and Kalogeiton, Vicky and Medina-Suarez, Pablo and Zisserman, Andrew},
title = {LAEO-Net: Revisiting People Looking at Each Other in Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks: Meilu Zhu,

Daming Shi,

Mingjie Zheng,

Muhammad Sadiq; [pdf]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Meilu and Shi, Daming and Zheng, Mingjie and Sadiq, Muhammad},
title = {Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Individual Styles of Conversational Gesture: Shiry Ginosar,

Amir Bar,

Gefen Kohavi,

Caroline Chan,

Andrew Owens,

Jitendra Malik; [pdf]
[bibtex]
@InProceedings{Ginosar_2019_CVPR,
author = {Ginosar, Shiry and Bar, Amir and Kohavi, Gefen and Chan, Caroline and Owens, Andrew and Malik, Jitendra},
title = {Learning Individual Styles of Conversational Gesture},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Face Anti-Spoofing: Model Matters, so Does Data: Xiao Yang,

Wenhan Luo,

Linchao Bao,

Yuan Gao,

Dihong Gong,

Shibao Zheng,

Zhifeng Li,

Wei Liu; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Xiao and Luo, Wenhan and Bao, Linchao and Gao, Yuan and Gong, Dihong and Zheng, Shibao and Li, Zhifeng and Liu, Wei},
title = {Face Anti-Spoofing: Model Matters, so Does Data},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast Human Pose Estimation: Feng Zhang,

Xiatian Zhu,

Mao Ye; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Feng and Zhu, Xiatian and Ye, Mao},
title = {Fast Human Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Decorrelated Adversarial Learning for Age-Invariant Face Recognition: Hao Wang,

Dihong Gong,

Zhifeng Li,

Wei Liu; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Hao and Gong, Dihong and Li, Zhifeng and Liu, Wei},
title = {Decorrelated Adversarial Learning for Age-Invariant Face Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cross-Task Weakly Supervised Learning From Instructional Videos: Dimitri Zhukov,

Jean-Baptiste Alayrac,

Ramazan Gokberk Cinbis,

David Fouhey,

Ivan Laptev,

Josef Sivic; [pdf]
[bibtex]
@InProceedings{Zhukov_2019_CVPR,
author = {Zhukov, Dimitri and Alayrac, Jean-Baptiste and Cinbis, Ramazan Gokberk and Fouhey, David and Laptev, Ivan and Sivic, Josef},
title = {Cross-Task Weakly Supervised Learning From Instructional Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation: Chien-Yi Chang,

De-An Huang,

Yanan Sui,

Li Fei-Fei,

Juan Carlos Niebles; [pdf]
[bibtex]
@InProceedings{Chang_2019_CVPR,
author = {Chang, Chien-Yi and Huang, De-An and Sui, Yanan and Fei-Fei, Li and Niebles, Juan Carlos},
title = {D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Progressive Teacher-Student Learning for Early Action Prediction: Xionghui Wang,

Jian-Fang Hu,

Jian-Huang Lai,

Jianguo Zhang,

Wei-Shi Zheng; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Xionghui and Hu, Jian-Fang and Lai, Jian-Huang and Zhang, Jianguo and Zheng, Wei-Shi},
title = {Progressive Teacher-Student Learning for Early Action Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Social Relation Recognition From Videos via Multi-Scale Spatial-Temporal Reasoning: Xinchen Liu,

Wu Liu,

Meng Zhang,

Jingwen Chen,

Lianli Gao,

Chenggang Yan,

Tao Mei; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Xinchen and Liu, Wu and Zhang, Meng and Chen, Jingwen and Gao, Lianli and Yan, Chenggang and Mei, Tao},
title = {Social Relation Recognition From Videos via Multi-Scale Spatial-Temporal Reasoning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation: Yazan Abu Farha,

Jurgen Gall; [pdf]
[bibtex]
@InProceedings{Farha_2019_CVPR,
author = {Farha, Yazan Abu and Gall, Jurgen},
title = {MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Transferable Interactiveness Knowledge for Human-Object Interaction Detection: Yong-Lu Li,

Siyuan Zhou,

Xijie Huang,

Liang Xu,

Ze Ma,

Hao-Shu Fang,

Yanfeng Wang,

Cewu Lu; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yong-Lu and Zhou, Siyuan and Huang, Xijie and Xu, Liang and Ma, Ze and Fang, Hao-Shu and Wang, Yanfeng and Lu, Cewu},
title = {Transferable Interactiveness Knowledge for Human-Object Interaction Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition: Maosen Li,

Siheng Chen,

Xu Chen,

Ya Zhang,

Yanfeng Wang,

Qi Tian; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Maosen and Chen, Siheng and Chen, Xu and Zhang, Ya and Wang, Yanfeng and Tian, Qi},
title = {Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Granularity Generator for Temporal Action Proposal: Yuan Liu,

Lin Ma,

Yifeng Zhang,

Wei Liu,

Shih-Fu Chang; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Yuan and Ma, Lin and Zhang, Yifeng and Liu, Wei and Chang, Shih-Fu},
title = {Multi-Granularity Generator for Temporal Action Proposal},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Rigid Instance Scene Flow: Wei-Chiu Ma,

Shenlong Wang,

Rui Hu,

Yuwen Xiong,

Raquel Urtasun; [pdf]
[bibtex]
@InProceedings{Ma_2019_CVPR,
author = {Ma, Wei-Chiu and Wang, Shenlong and Hu, Rui and Xiong, Yuwen and Urtasun, Raquel},
title = {Deep Rigid Instance Scene Flow},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks: Xiankai Lu,

Wenguan Wang,

Chao Ma,

Jianbing Shen,

Ling Shao,

Fatih Porikli; [pdf]
[bibtex]
@InProceedings{Lu_2019_CVPR,
author = {Lu, Xiankai and Wang, Wenguan and Ma, Chao and Shen, Jianbing and Shao, Ling and Porikli, Fatih},
title = {See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification: Qize Yang,

Hong-Xing Yu,

Ancong Wu,

Wei-Shi Zheng; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Qize and Yu, Hong-Xing and Wu, Ancong and Zheng, Wei-Shi},
title = {Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking: Guangting Wang,

Chong Luo,

Zhiwei Xiong,

Wenjun Zeng; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Guangting and Luo, Chong and Xiong, Zhiwei and Zeng, Wenjun},
title = {SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spatial Fusion GAN for Image Synthesis: Fangneng Zhan,

Hongyuan Zhu,

Shijian Lu; [pdf]
[bibtex]
@InProceedings{Zhan_2019_CVPR,
author = {Zhan, Fangneng and Zhu, Hongyuan and Lu, Shijian},
title = {Spatial Fusion GAN for Image Synthesis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Text Guided Person Image Synthesis: Xingran Zhou,

Siyu Huang,

Bin Li,

Yingming Li,

Jiachen Li,

Zhongfei Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Zhou_2019_CVPR,
author = {Zhou, Xingran and Huang, Siyu and Li, Bin and Li, Yingming and Li, Jiachen and Zhang, Zhongfei},
title = {Text Guided Person Image Synthesis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing: Ming Liu,

Yukang Ding,

Min Xia,

Xiao Liu,

Errui Ding,

Wangmeng Zuo,

Shilei Wen; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Ming and Ding, Yukang and Xia, Min and Liu, Xiao and Ding, Errui and Zuo, Wangmeng and Wen, Shilei},
title = {STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Instance-Level Image-To-Image Translation: Zhiqiang Shen,

Mingyang Huang,

Jianping Shi,

Xiangyang Xue,

Thomas S. Huang; [pdf]
[bibtex]
@InProceedings{Shen_2019_CVPR,
author = {Shen, Zhiqiang and Huang, Mingyang and Shi, Jianping and Xue, Xiangyang and Huang, Thomas S.},
title = {Towards Instance-Level Image-To-Image Translation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dense Intrinsic Appearance Flow for Human Pose Transfer: Yining Li,

Chen Huang,

Chen Change Loy; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yining and Huang, Chen and Loy, Chen Change},
title = {Dense Intrinsic Appearance Flow for Human Pose Transfer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Depth-Aware Video Frame Interpolation: Wenbo Bao,

Wei-Sheng Lai,

Chao Ma,

Xiaoyun Zhang,

Zhiyong Gao,

Ming-Hsuan Yang; [pdf] [supp]
[bibtex]
@InProceedings{Bao_2019_CVPR,
author = {Bao, Wenbo and Lai, Wei-Sheng and Ma, Chao and Zhang, Xiaoyun and Gao, Zhiyong and Yang, Ming-Hsuan},
title = {Depth-Aware Video Frame Interpolation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Sliced Wasserstein Generative Models: Jiqing Wu,

Zhiwu Huang,

Dinesh Acharya,

Wen Li,

Janine Thoma,

Danda Pani Paudel,

Luc Van Gool; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Jiqing and Huang, Zhiwu and Acharya, Dinesh and Li, Wen and Thoma, Janine and Paudel, Danda Pani and Gool, Luc Van},
title = {Sliced Wasserstein Generative Models},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Flow-Guided Video Inpainting: Rui Xu,

Xiaoxiao Li,

Bolei Zhou,

Chen Change Loy; [pdf]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Rui and Li, Xiaoxiao and Zhou, Bolei and Loy, Chen Change},
title = {Deep Flow-Guided Video Inpainting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Video Generation From Single Semantic Label Map: Junting Pan,

Chengyu Wang,

Xu Jia,

Jing Shao,

Lu Sheng,

Junjie Yan,

Xiaogang Wang; [pdf]
[bibtex]
@InProceedings{Pan_2019_CVPR,
author = {Pan, Junting and Wang, Chengyu and Jia, Xu and Shao, Jing and Sheng, Lu and Yan, Junjie and Wang, Xiaogang},
title = {Video Generation From Single Semantic Label Map},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Polarimetric Camera Calibration Using an LCD Monitor: Zhixiang Wang,

Yinqiang Zheng,

Yung-Yu Chuang; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Zhixiang and Zheng, Yinqiang and Chuang, Yung-Yu},
title = {Polarimetric Camera Calibration Using an LCD Monitor},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fully Automatic Video Colorization With Self-Regularization and Diversity: Chenyang Lei,

Qifeng Chen; [pdf]
[bibtex]
@InProceedings{Lei_2019_CVPR,
author = {Lei, Chenyang and Chen, Qifeng},
title = {Fully Automatic Video Colorization With Self-Regularization and Diversity},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Zoom to Learn, Learn to Zoom: Xuaner Zhang,

Qifeng Chen,

Ren Ng,

Vladlen Koltun; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Xuaner and Chen, Qifeng and Ng, Ren and Koltun, Vladlen},
title = {Zoom to Learn, Learn to Zoom},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Single Image Reflection Removal Beyond Linearity: Qiang Wen,

Yinjie Tan,

Jing Qin,

Wenxi Liu,

Guoqiang Han,

Shengfeng He; [pdf] [supp]
[bibtex]
@InProceedings{Wen_2019_CVPR,
author = {Wen, Qiang and Tan, Yinjie and Qin, Jing and Liu, Wenxi and Han, Guoqiang and He, Shengfeng},
title = {Single Image Reflection Removal Beyond Linearity},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Separate Multiple Illuminants in a Single Image: Zhuo Hui,

Ayan Chakrabarti,

Kalyan Sunkavalli,

Aswin C. Sankaranarayanan; [pdf] [supp]
[bibtex]
@InProceedings{Hui_2019_CVPR,
author = {Hui, Zhuo and Chakrabarti, Ayan and Sunkavalli, Kalyan and Sankaranarayanan, Aswin C.},
title = {Learning to Separate Multiple Illuminants in a Single Image},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Shape Unicode: A Unified Shape Representation: Sanjeev Muralikrishnan,

Vladimir G. Kim,

Matthew Fisher,

Siddhartha Chaudhuri; [pdf] [supp]
[bibtex]
@InProceedings{Muralikrishnan_2019_CVPR,
author = {Muralikrishnan, Sanjeev and Kim, Vladimir G. and Fisher, Matthew and Chaudhuri, Siddhartha},
title = {Shape Unicode: A Unified Shape Representation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Robust Video Stabilization by Optimization in CNN Weight Space: Jiyang Yu,

Ravi Ramamoorthi; [pdf] [supp]
[bibtex]
@InProceedings{Yu_2019_CVPR,
author = {Yu, Jiyang and Ramamoorthi, Ravi},
title = {Robust Video Stabilization by Optimization in CNN Weight Space},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Linear Transformations for Fast Image and Video Style Transfer: Xueting Li,

Sifei Liu,

Jan Kautz,

Ming-Hsuan Yang; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Xueting and Liu, Sifei and Kautz, Jan and Yang, Ming-Hsuan},
title = {Learning Linear Transformations for Fast Image and Video Style Transfer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Local Detection of Stereo Occlusion Boundaries: Jialiang Wang,

Todd Zickler; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Jialiang and Zickler, Todd},
title = {Local Detection of Stereo Occlusion Boundaries},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bi-Directional Cascade Network for Perceptual Edge Detection: Jianzhong He,

Shiliang Zhang,

Ming Yang,

Yanhu Shan,

Tiejun Huang; [pdf]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Jianzhong and Zhang, Shiliang and Yang, Ming and Shan, Yanhu and Huang, Tiejun},
title = {Bi-Directional Cascade Network for Perceptual Edge Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Single Image Deraining: A Comprehensive Benchmark Analysis: Siyuan Li,

Iago Breno Araujo,

Wenqi Ren,

Zhangyang Wang,

Eric K. Tokuda,

Roberto Hirata Junior,

Roberto Cesar-Junior,

Jiawan Zhang,

Xiaojie Guo,

Xiaochun Cao; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Siyuan and Araujo, Iago Breno and Ren, Wenqi and Wang, Zhangyang and Tokuda, Eric K. and Junior, Roberto Hirata and Cesar-Junior, Roberto and Zhang, Jiawan and Guo, Xiaojie and Cao, Xiaochun},
title = {Single Image Deraining: A Comprehensive Benchmark Analysis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections: Hongyun Gao,

Xin Tao,

Xiaoyong Shen,

Jiaya Jia; [pdf]
[bibtex]
@InProceedings{Gao_2019_CVPR,
author = {Gao, Hongyun and Tao, Xin and Shen, Xiaoyong and Jia, Jiaya},
title = {Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Events-To-Video: Bringing Modern Computer Vision to Event Cameras: Henri Rebecq,

Rene Ranftl,

Vladlen Koltun,

Davide Scaramuzza; [pdf] [supp]
[bibtex]
@InProceedings{Rebecq_2019_CVPR,
author = {Rebecq, Henri and Ranftl, Rene and Koltun, Vladlen and Scaramuzza, Davide},
title = {Events-To-Video: Bringing Modern Computer Vision to Event Cameras},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Feedback Network for Image Super-Resolution: Zhen Li,

Jinglei Yang,

Zheng Liu,

Xiaomin Yang,

Gwanggil Jeon,

Wei Wu; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Zhen and Yang, Jinglei and Liu, Zheng and Yang, Xiaomin and Jeon, Gwanggil and Wu, Wei},
title = {Feedback Network for Image Super-Resolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semi-Supervised Transfer Learning for Image Rain Removal: Wei Wei,

Deyu Meng,

Qian Zhao,

Zongben Xu,

Ying Wu; [pdf]
[bibtex]
@InProceedings{Wei_2019_CVPR,
author = {Wei, Wei and Meng, Deyu and Zhao, Qian and Xu, Zongben and Wu, Ying},
title = {Semi-Supervised Transfer Learning for Image Rain Removal},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
EventNet: Asynchronous Recursive Event Processing: Yusuke Sekikawa,

Kosuke Hara,

Hideo Saito; [pdf] [supp]
[bibtex]
@InProceedings{Sekikawa_2019_CVPR,
author = {Sekikawa, Yusuke and Hara, Kosuke and Saito, Hideo},
title = {EventNet: Asynchronous Recursive Event Processing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Recurrent Back-Projection Network for Video Super-Resolution: Muhammad Haris,

Gregory Shakhnarovich,

Norimichi Ukita; [pdf] [supp]
[bibtex]
@InProceedings{Haris_2019_CVPR,
author = {Haris, Muhammad and Shakhnarovich, Gregory and Ukita, Norimichi},
title = {Recurrent Back-Projection Network for Video Super-Resolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection: Zhe Wu,

Li Su,

Qingming Huang; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Zhe and Su, Li and Huang, Qingming},
title = {Cascaded Partial Decoder for Fast and Accurate Salient Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Simple Pooling-Based Design for Real-Time Salient Object Detection: Jiang-Jiang Liu,

Qibin Hou,

Ming-Ming Cheng,

Jiashi Feng,

Jianmin Jiang; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Jiang-Jiang and Hou, Qibin and Cheng, Ming-Ming and Feng, Jiashi and Jiang, Jianmin},
title = {A Simple Pooling-Based Design for Real-Time Salient Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection: Jia-Xing Zhao,

Yang Cao,

Deng-Ping Fan,

Ming-Ming Cheng,

Xuan-Yi Li,

Le Zhang; [pdf]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Jia-Xing and Cao, Yang and Fan, Deng-Ping and Cheng, Ming-Ming and Li, Xuan-Yi and Zhang, Le},
title = {Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Progressive Image Deraining Networks: A Better and Simpler Baseline: Dongwei Ren,

Wangmeng Zuo,

Qinghua Hu,

Pengfei Zhu,

Deyu Meng; [pdf] [supp]
[bibtex]
@InProceedings{Ren_2019_CVPR,
author = {Ren, Dongwei and Zuo, Wangmeng and Hu, Qinghua and Zhu, Pengfei and Meng, Deyu},
title = {Progressive Image Deraining Networks: A Better and Simpler Baseline},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud: Li Yi,

Wang Zhao,

He Wang,

Minhyuk Sung,

Leonidas J. Guibas; [pdf] [supp]
[bibtex]
@InProceedings{Yi_2019_CVPR,
author = {Yi, Li and Zhao, Wang and Wang, He and Sung, Minhyuk and Guibas, Leonidas J.},
title = {GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attentive Relational Networks for Mapping Images to Scene Graphs: Mengshi Qi,

Weijian Li,

Zhengyuan Yang,

Yunhong Wang,

Jiebo Luo; [pdf]
[bibtex]
@InProceedings{Qi_2019_CVPR,
author = {Qi, Mengshi and Li, Weijian and Yang, Zhengyuan and Wang, Yunhong and Luo, Jiebo},
title = {Attentive Relational Networks for Mapping Images to Scene Graphs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Relational Knowledge Distillation: Wonpyo Park,

Dongju Kim,

Yan Lu,

Minsu Cho; [pdf]
[bibtex]
@InProceedings{Park_2019_CVPR,
author = {Park, Wonpyo and Kim, Dongju and Lu, Yan and Cho, Minsu},
title = {Relational Knowledge Distillation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Compressing Convolutional Neural Networks via Factorized Convolutional Filters: Tuanhui Li,

Baoyuan Wu,

Yujiu Yang,

Yanbo Fan,

Yong Zhang,

Wei Liu; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Tuanhui and Wu, Baoyuan and Yang, Yujiu and Fan, Yanbo and Zhang, Yong and Liu, Wei},
title = {Compressing Convolutional Neural Networks via Factorized Convolutional Filters},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
On the Intrinsic Dimensionality of Image Representations: Sixue Gong,

Vishnu Naresh Boddeti,

Anil K. Jain; [pdf] [supp]
[bibtex]
@InProceedings{Gong_2019_CVPR,
author = {Gong, Sixue and Boddeti, Vishnu Naresh and Jain, Anil K.},
title = {On the Intrinsic Dimensionality of Image Representations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Part-Regularized Near-Duplicate Vehicle Re-Identification: Bing He,

Jia Li,

Yifan Zhao,

Yonghong Tian; [pdf]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Bing and Li, Jia and Zhao, Yifan and Tian, Yonghong},
title = {Part-Regularized Near-Duplicate Vehicle Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics: Jiangliu Wang,

Jianbo Jiao,

Linchao Bao,

Shengfeng He,

Yunhui Liu,

Wei Liu; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Jiangliu and Jiao, Jianbo and Bao, Linchao and He, Shengfeng and Liu, Yunhui and Liu, Wei},
title = {Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Classification-Reconstruction Learning for Open-Set Recognition: Ryota Yoshihashi,

Wen Shao,

Rei Kawakami,

Shaodi You,

Makoto Iida,

Takeshi Naemura; [pdf]
[bibtex]
@InProceedings{Yoshihashi_2019_CVPR,
author = {Yoshihashi, Ryota and Shao, Wen and Kawakami, Rei and You, Shaodi and Iida, Makoto and Naemura, Takeshi},
title = {Classification-Reconstruction Learning for Open-Set Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Emotion-Aware Human Attention Prediction: Macario O. Cordel II,

Shaojing Fan,

Zhiqi Shen,

Mohan S. Kankanhalli; [pdf] [supp]
[bibtex]
@InProceedings{II_2019_CVPR,
author = {, II, Macario O. Cordel and Fan, Shaojing and Shen, Zhiqi and Kankanhalli, Mohan S.},
title = {Emotion-Aware Human Attention Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Residual Regression With Semantic Prior for Crowd Counting: Jia Wan,

Wenhan Luo,

Baoyuan Wu,

Antoni B. Chan,

Wei Liu; [pdf]
[bibtex]
@InProceedings{Wan_2019_CVPR,
author = {Wan, Jia and Luo, Wenhan and Wu, Baoyuan and Chan, Antoni B. and Liu, Wei},
title = {Residual Regression With Semantic Prior for Crowd Counting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Context-Reinforced Semantic Segmentation: Yizhou Zhou,

Xiaoyan Sun,

Zheng-Jun Zha,

Wenjun Zeng; [pdf]
[bibtex]
@InProceedings{Zhou_2019_CVPR,
author = {Zhou, Yizhou and Sun, Xiaoyan and Zha, Zheng-Jun and Zeng, Wenjun},
title = {Context-Reinforced Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adversarial Structure Matching for Structured Prediction Tasks: Jyh-Jing Hwang,

Tsung-Wei Ke,

Jianbo Shi,

Stella X. Yu; [pdf]
[bibtex]
@InProceedings{Hwang_2019_CVPR,
author = {Hwang, Jyh-Jing and Ke, Tsung-Wei and Shi, Jianbo and Yu, Stella X.},
title = {Adversarial Structure Matching for Structured Prediction Tasks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Spectral Clustering Using Dual Autoencoder Network: Xu Yang,

Cheng Deng,

Feng Zheng,

Junchi Yan,

Wei Liu; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Xu and Deng, Cheng and Zheng, Feng and Yan, Junchi and Liu, Wei},
title = {Deep Spectral Clustering Using Dual Autoencoder Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Asymmetric Metric Learning via Rich Relationship Mining: Xinyi Xu,

Yanhua Yang,

Cheng Deng,

Feng Zheng; [pdf]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Xinyi and Yang, Yanhua and Deng, Cheng and Zheng, Feng},
title = {Deep Asymmetric Metric Learning via Rich Relationship Mining},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates: Jerome Revaud,

Minhyeok Heo,

Rafael S. Rezende,

Chanmi You,

Seong-Gyun Jeong; [pdf]
[bibtex]
@InProceedings{Revaud_2019_CVPR,
author = {Revaud, Jerome and Heo, Minhyeok and Rezende, Rafael S. and You, Chanmi and Jeong, Seong-Gyun},
title = {Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Associatively Segmenting Instances and Semantics in Point Clouds: Xinlong Wang,

Shu Liu,

Xiaoyong Shen,

Chunhua Shen,

Jiaya Jia; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Xinlong and Liu, Shu and Shen, Xiaoyong and Shen, Chunhua and Jia, Jiaya},
title = {Associatively Segmenting Instances and Semantics in Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation: Zhenyu Zhang,

Zhen Cui,

Chunyan Xu,

Yan Yan,

Nicu Sebe,

Jian Yang; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Zhenyu and Cui, Zhen and Xu, Chunyan and Yan, Yan and Sebe, Nicu and Yang, Jian},
title = {Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Scene Categorization From Contours: Medial Axis Based Salience Measures: Morteza Rezanejad,

Gabriel Downs,

John Wilder,

Dirk B. Walther,

Allan Jepson,

Sven Dickinson,

Kaleem Siddiqi; [pdf]
[bibtex]
@InProceedings{Rezanejad_2019_CVPR,
author = {Rezanejad, Morteza and Downs, Gabriel and Wilder, John and Walther, Dirk B. and Jepson, Allan and Dickinson, Sven and Siddiqi, Kaleem},
title = {Scene Categorization From Contours: Medial Axis Based Salience Measures},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Image Captioning: Yang Feng,

Lin Ma,

Wei Liu,

Jiebo Luo; [pdf] [supp]
[bibtex]
@InProceedings{Feng_2019_CVPR,
author = {Feng, Yang and Ma, Lin and Liu, Wei and Luo, Jiebo},
title = {Unsupervised Image Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables: Yan Xu,

Baoyuan Wu,

Fumin Shen,

Yanbo Fan,

Yong Zhang,

Heng Tao Shen,

Wei Liu; [pdf] [supp]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Yan and Wu, Baoyuan and Shen, Fumin and Fan, Yanbo and Zhang, Yong and Shen, Heng Tao and Liu, Wei},
title = {Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cross-Modal Relationship Inference for Grounding Referring Expressions: Sibei Yang,

Guanbin Li,

Yizhou Yu; [pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Sibei and Li, Guanbin and Yu, Yizhou},
title = {Cross-Modal Relationship Inference for Grounding Referring Expressions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions: Ehsan Abbasnejad,

Qi Wu,

Qinfeng Shi,

Anton van den Hengel; [pdf]
[bibtex]
@InProceedings{Abbasnejad_2019_CVPR,
author = {Abbasnejad, Ehsan and Wu, Qi and Shi, Qinfeng and Hengel, Anton van den},
title = {What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Iterative Alignment Network for Continuous Sign Language Recognition: Junfu Pu,

Wengang Zhou,

Houqiang Li; [pdf]
[bibtex]
@InProceedings{Pu_2019_CVPR,
author = {Pu, Junfu and Zhou, Wengang and Li, Houqiang},
title = {Iterative Alignment Network for Continuous Sign Language Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neural Sequential Phrase Grounding (SeqGROUND): Pelin Dogan,

Leonid Sigal,

Markus Gross; [pdf] [supp]
[bibtex]
@InProceedings{Dogan_2019_CVPR,
author = {Dogan, Pelin and Sigal, Leonid and Gross, Markus},
title = {Neural Sequential Phrase Grounding (SeqGROUND)},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions: Runtao Liu,

Chenxi Liu,

Yutong Bai,

Alan L. Yuille; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Runtao and Liu, Chenxi and Bai, Yutong and Yuille, Alan L.},
title = {CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Describing Like Humans: On Diversity in Image Captioning: Qingzhong Wang,

Antoni B. Chan; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Qingzhong and Chan, Antoni B.},
title = {Describing Like Humans: On Diversity in Image Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MSCap: Multi-Style Image Captioning With Unpaired Stylized Text: Longteng Guo,

Jing Liu,

Peng Yao,

Jiangwei Li,

Hanqing Lu; [pdf]
[bibtex]
@InProceedings{Guo_2019_CVPR,
author = {Guo, Longteng and Liu, Jing and Yao, Peng and Li, Jiangwei and Lu, Hanqing},
title = {MSCap: Multi-Style Image Captioning With Unpaired Stylized Text},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
CRAVES: Controlling Robotic Arm With a Vision-Based Economic System: Yiming Zuo,

Weichao Qiu,

Lingxi Xie,

Fangwei Zhong,

Yizhou Wang,

Alan L. Yuille; [pdf] [supp]
[bibtex]
@InProceedings{Zuo_2019_CVPR,
author = {Zuo, Yiming and Qiu, Weichao and Xie, Lingxi and Zhong, Fangwei and Wang, Yizhou and Yuille, Alan L.},
title = {CRAVES: Controlling Robotic Arm With a Vision-Based Economic System},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Networks for Joint Affine and Non-Parametric Image Registration: Zhengyang Shen,

Xu Han,

Zhenlin Xu,

Marc Niethammer; [pdf] [supp]
[bibtex]
@InProceedings{Shen_2019_CVPR,
author = {Shen, Zhengyang and Han, Xu and Xu, Zhenlin and Niethammer, Marc},
title = {Networks for Joint Affine and Non-Parametric Image Registration},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Shape-Aware Embedding for Scene Text Detection: Zhuotao Tian,

Michelle Shu,

Pengyuan Lyu,

Ruiyu Li,

Chao Zhou,

Xiaoyong Shen,

Jiaya Jia; [pdf]
[bibtex]
@InProceedings{Tian_2019_CVPR,
author = {Tian, Zhuotao and Shu, Michelle and Lyu, Pengyuan and Li, Ruiyu and Zhou, Chao and Shen, Xiaoyong and Jia, Jiaya},
title = {Learning Shape-Aware Embedding for Scene Text Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Film From Professional Human Motion Videos: Chong Huang,

Chuan-En Lin,

Zhenyu Yang,

Yan Kong,

Peng Chen,

Xin Yang,

Kwang-Ting Cheng; [pdf] [supp]
[bibtex]
@InProceedings{Huang_2019_CVPR,
author = {Huang, Chong and Lin, Chuan-En and Yang, Zhenyu and Kong, Yan and Chen, Peng and Yang, Xin and Cheng, Kwang-Ting},
title = {Learning to Film From Professional Human Motion Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention: Pooya Abolghasemi,

Amir Mazaheri,

Mubarak Shah,

Ladislau Boloni; [pdf] [supp]
[bibtex]
@InProceedings{Abolghasemi_2019_CVPR,
author = {Abolghasemi, Pooya and Mazaheri, Amir and Shah, Mubarak and Boloni, Ladislau},
title = {Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence: Dahun Kim,

Sanghyun Woo,

Joon-Young Lee,

In So Kweon; [pdf]
[bibtex]
@InProceedings{Kim_2019_CVPR,
author = {Kim, Dahun and Woo, Sanghyun and Lee, Joon-Young and Kweon, In So},
title = {Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}