CVPR 2019 Open Access Repository

Papers

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Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology: Ke Yan,

Yifan Peng,

Veit Sandfort,

Mohammadhadi Bagheri,

Zhiyong Lu,

Ronald M. Summers; [pdf] [supp] [video]
[bibtex]
@InProceedings{Yan_2019_CVPR,
author = {Yan, Ke and Peng, Yifan and Sandfort, Veit and Bagheri, Mohammadhadi and Lu, Zhiyong and Summers, Ronald M.},
title = {Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Robust Histopathology Image Analysis: To Label or to Synthesize?: Le Hou,

Ayush Agarwal,

Dimitris Samaras,

Tahsin M. Kurc,

Rajarsi R. Gupta,

Joel H. Saltz; [pdf] [video]
[bibtex]
@InProceedings{Hou_2019_CVPR,
author = {Hou, Le and Agarwal, Ayush and Samaras, Dimitris and Kurc, Tahsin M. and Gupta, Rajarsi R. and Saltz, Joel H.},
title = {Robust Histopathology Image Analysis: To Label or to Synthesize?},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation: Amy Zhao,

Guha Balakrishnan,

Fredo Durand,

John V. Guttag,

Adrian V. Dalca; [pdf] [video]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Amy and Balakrishnan, Guha and Durand, Fredo and Guttag, John V. and Dalca, Adrian V.},
title = {Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Shifting More Attention to Video Salient Object Detection: Deng-Ping Fan,

Wenguan Wang,

Ming-Ming Cheng,

Jianbing Shen; [pdf] [supp] [video]
[bibtex]
@InProceedings{Fan_2019_CVPR,
author = {Fan, Deng-Ping and Wang, Wenguan and Cheng, Ming-Ming and Shen, Jianbing},
title = {Shifting More Attention to Video Salient Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration: De-An Huang,

Suraj Nair,

Danfei Xu,

Yuke Zhu,

Animesh Garg,

Li Fei-Fei,

Silvio Savarese,

Juan Carlos Niebles; [pdf] [supp] [video]
[bibtex]
@InProceedings{Huang_2019_CVPR,
author = {Huang, De-An and Nair, Suraj and Xu, Danfei and Zhu, Yuke and Garg, Animesh and Fei-Fei, Li and Savarese, Silvio and Niebles, Juan Carlos},
title = {Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry: Fei Xue,

Xin Wang,

Shunkai Li,

Qiuyuan Wang,

Junqiu Wang,

Hongbin Zha; [pdf] [video]
[bibtex]
@InProceedings{Xue_2019_CVPR,
author = {Xue, Fei and Wang, Xin and Li, Shunkai and Wang, Qiuyuan and Wang, Junqiu and Zha, Hongbin},
title = {Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Image Generation From Layout: Bo Zhao,

Lili Meng,

Weidong Yin,

Leonid Sigal; [pdf] [video]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Bo and Meng, Lili and Yin, Weidong and Sigal, Leonid},
title = {Image Generation From Layout},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multimodal Explanations by Predicting Counterfactuality in Videos: Atsushi Kanehira,

Kentaro Takemoto,

Sho Inayoshi,

Tatsuya Harada; [pdf] [supp] [video]
[bibtex]
@InProceedings{Kanehira_2019_CVPR,
author = {Kanehira, Atsushi and Takemoto, Kentaro and Inayoshi, Sho and Harada, Tatsuya},
title = {Multimodal Explanations by Predicting Counterfactuality in Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Explain With Complemental Examples: Atsushi Kanehira,

Tatsuya Harada; [pdf] [supp] [video]
[bibtex]
@InProceedings{Kanehira_2019_CVPR,
author = {Kanehira, Atsushi and Harada, Tatsuya},
title = {Learning to Explain With Complemental Examples},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
HAQ: Hardware-Aware Automated Quantization With Mixed Precision: Kuan Wang,

Zhijian Liu,

Yujun Lin,

Ji Lin,

Song Han; [pdf] [video]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Kuan and Liu, Zhijian and Lin, Yujun and Lin, Ji and Han, Song},
title = {HAQ: Hardware-Aware Automated Quantization With Mixed Precision},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels: Pawel Korus,

Nasir Memon; [pdf] [supp] [video]
[bibtex]
@InProceedings{Korus_2019_CVPR,
author = {Korus, Pawel and Memon, Nasir},
title = {Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Inverse Procedural Modeling of Knitwear: Elena Trunz,

Sebastian Merzbach,

Jonathan Klein,

Thomas Schulze,

Michael Weinmann,

Reinhard Klein; [pdf] [supp] [video]
[bibtex]
@InProceedings{Trunz_2019_CVPR,
author = {Trunz, Elena and Merzbach, Sebastian and Klein, Jonathan and Schulze, Thomas and Weinmann, Michael and Klein, Reinhard},
title = {Inverse Procedural Modeling of Knitwear},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video: Zongmian Li,

Jiri Sedlar,

Justin Carpentier,

Ivan Laptev,

Nicolas Mansard,

Josef Sivic; [pdf] [video]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Zongmian and Sedlar, Jiri and Carpentier, Justin and Laptev, Ivan and Mansard, Nicolas and Sivic, Josef},
title = {Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds: Li Ding,

Chen Feng; [pdf] [supp] [video]
[bibtex]
@InProceedings{Ding_2019_CVPR,
author = {Ding, Li and Feng, Chen},
title = {DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
End-To-End Interpretable Neural Motion Planner: Wenyuan Zeng,

Wenjie Luo,

Simon Suo,

Abbas Sadat,

Bin Yang,

Sergio Casas,

Raquel Urtasun; [pdf] [video]
[bibtex]
@InProceedings{Zeng_2019_CVPR,
author = {Zeng, Wenyuan and Luo, Wenjie and Suo, Simon and Sadat, Abbas and Yang, Bin and Casas, Sergio and Urtasun, Raquel},
title = {End-To-End Interpretable Neural Motion Planner},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model: Tian Han,

Erik Nijkamp,

Xiaolin Fang,

Mitch Hill,

Song-Chun Zhu,

Ying Nian Wu; [pdf] [video]
[bibtex]
@InProceedings{Han_2019_CVPR,
author = {Han, Tian and Nijkamp, Erik and Fang, Xiaolin and Hill, Mitch and Zhu, Song-Chun and Wu, Ying Nian},
title = {Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Image Deformation Meta-Networks for One-Shot Learning: Zitian Chen,

Yanwei Fu,

Yu-Xiong Wang,

Lin Ma,

Wei Liu,

Martial Hebert; [pdf] [video]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Zitian and Fu, Yanwei and Wang, Yu-Xiong and Ma, Lin and Liu, Wei and Hebert, Martial},
title = {Image Deformation Meta-Networks for One-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Online High Rank Matrix Completion: Jicong Fan,

Madeleine Udell; [pdf] [supp] [video]
[bibtex]
@InProceedings{Fan_2019_CVPR,
author = {Fan, Jicong and Udell, Madeleine},
title = {Online High Rank Matrix Completion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds: Tiancheng Zhi,

Bernardo R. Pires,

Martial Hebert,

Srinivasa G. Narasimhan; [pdf] [supp] [video]
[bibtex]
@InProceedings{Zhi_2019_CVPR,
author = {Zhi, Tiancheng and Pires, Bernardo R. and Hebert, Martial and Narasimhan, Srinivasa G.},
title = {Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging: Samarth Brahmbhatt,

Cusuh Ham,

Charles C. Kemp,

James Hays; [pdf] [supp] [video]
[bibtex]
@InProceedings{Brahmbhatt_2019_CVPR,
author = {Brahmbhatt, Samarth and Ham, Cusuh and Kemp, Charles C. and Hays, James},
title = {ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling: Yuanman Li,

Jiantao Zhou,

Xianwei Zheng,

Jinyu Tian,

Yuan Yan Tang; [pdf] [supp] [video]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yuanman and Zhou, Jiantao and Zheng, Xianwei and Tian, Jinyu and Tang, Yuan Yan},
title = {Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
What Correspondences Reveal About Unknown Camera and Motion Models?: Thomas Probst,

Ajad Chhatkuli,

Danda Pani Paudel,

Luc Van Gool; [pdf] [supp] [video]
[bibtex]
@InProceedings{Probst_2019_CVPR,
author = {Probst, Thomas and Chhatkuli, Ajad and Paudel, Danda Pani and Gool, Luc Van},
title = {What Correspondences Reveal About Unknown Camera and Motion Models?},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Calibrating Deep Photometric Stereo Networks: Guanying Chen,

Kai Han,

Boxin Shi,

Yasuyuki Matsushita,

Kwan-Yee K. Wong; [pdf] [video]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Guanying and Han, Kai and Shi, Boxin and Matsushita, Yasuyuki and Wong, Kwan-Yee K.},
title = {Self-Calibrating Deep Photometric Stereo Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Argoverse: 3D Tracking and Forecasting With Rich Maps: Ming-Fang Chang,

John Lambert,

Patsorn Sangkloy,

Jagjeet Singh,

Slawomir Bak,

Andrew Hartnett,

De Wang,

Peter Carr,

Simon Lucey,

Deva Ramanan,

James Hays; [pdf] [supp] [video]
[bibtex]
@InProceedings{Chang_2019_CVPR,
author = {Chang, Ming-Fang and Lambert, John and Sangkloy, Patsorn and Singh, Jagjeet and Bak, Slawomir and Hartnett, Andrew and Wang, De and Carr, Peter and Lucey, Simon and Ramanan, Deva and Hays, James},
title = {Argoverse: 3D Tracking and Forecasting With Rich Maps},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Side Window Filtering: Hui Yin,

Yuanhao Gong,

Guoping Qiu; [pdf] [video]
[bibtex]
@InProceedings{Yin_2019_CVPR,
author = {Yin, Hui and Gong, Yuanhao and Qiu, Guoping},
title = {Side Window Filtering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search: Abhimanyu Dubey,

Laurens van der Maaten,

Zeki Yalniz,

Yixuan Li,

Dhruv Mahajan; [pdf] [supp] [video]
[bibtex]
@InProceedings{Dubey_2019_CVPR,
author = {Dubey, Abhimanyu and Maaten, Laurens van der and Yalniz, Zeki and Li, Yixuan and Mahajan, Dhruv},
title = {Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Incremental Object Learning From Contiguous Views: Stefan Stojanov,

Samarth Mishra,

Ngoc Anh Thai,

Nikhil Dhanda,

Ahmad Humayun,

Chen Yu,

Linda B. Smith,

James M. Rehg; [pdf] [supp] [video]
[bibtex]
@InProceedings{Stojanov_2019_CVPR,
author = {Stojanov, Stefan and Mishra, Samarth and Thai, Ngoc Anh and Dhanda, Nikhil and Humayun, Ahmad and Yu, Chen and Smith, Linda B. and Rehg, James M.},
title = {Incremental Object Learning From Contiguous Views},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition: Xiaoping Wu,

Chi Zhan,

Yu-Kun Lai,

Ming-Ming Cheng,

Jufeng Yang; [pdf] [video]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Xiaoping and Zhan, Chi and Lai, Yu-Kun and Cheng, Ming-Ming and Yang, Jufeng},
title = {IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification: Zheng Tang,

Milind Naphade,

Ming-Yu Liu,

Xiaodong Yang,

Stan Birchfield,

Shuo Wang,

Ratnesh Kumar,

David Anastasiu,

Jenq-Neng Hwang; [pdf] [supp] [video]
[bibtex]
@InProceedings{Tang_2019_CVPR,
author = {Tang, Zheng and Naphade, Milind and Liu, Ming-Yu and Yang, Xiaodong and Birchfield, Stan and Wang, Shuo and Kumar, Ratnesh and Anastasiu, David and Hwang, Jenq-Neng},
title = {CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence: Amir Zadeh,

Michael Chan,

Paul Pu Liang,

Edmund Tong,

Louis-Philippe Morency; [pdf] [video]
[bibtex]
@InProceedings{Zadeh_2019_CVPR,
author = {Zadeh, Amir and Chan, Michael and Liang, Paul Pu and Tong, Edmund and Morency, Louis-Philippe},
title = {Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
UPSNet: A Unified Panoptic Segmentation Network: Yuwen Xiong,

Renjie Liao,

Hengshuang Zhao,

Rui Hu,

Min Bai,

Ersin Yumer,

Raquel Urtasun; [pdf] [video]
[bibtex]
@InProceedings{Xiong_2019_CVPR,
author = {Xiong, Yuwen and Liao, Renjie and Zhao, Hengshuang and Hu, Rui and Bai, Min and Yumer, Ersin and Urtasun, Raquel},
title = {UPSNet: A Unified Panoptic Segmentation Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields: Quang-Hieu Pham,

Thanh Nguyen,

Binh-Son Hua,

Gemma Roig,

Sai-Kit Yeung; [pdf] [video]
[bibtex]
@InProceedings{Pham_2019_CVPR,
author = {Pham, Quang-Hieu and Nguyen, Thanh and Hua, Binh-Son and Roig, Gemma and Yeung, Sai-Kit},
title = {JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth: Davy Neven,

Bert De Brabandere,

Marc Proesmans,

Luc Van Gool; [pdf] [video]
[bibtex]
@InProceedings{Neven_2019_CVPR,
author = {Neven, Davy and Brabandere, Bert De and Proesmans, Marc and Gool, Luc Van},
title = {Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection: Kuang-Jui Hsu,

Yen-Yu Lin,

Yung-Yu Chuang; [pdf] [supp] [video]
[bibtex]
@InProceedings{Hsu_2019_CVPR,
author = {Hsu, Kuang-Jui and Lin, Yen-Yu and Chuang, Yung-Yu},
title = {DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Improving Semantic Segmentation via Video Propagation and Label Relaxation: Yi Zhu,

Karan Sapra,

Fitsum A. Reda,

Kevin J. Shih,

Shawn Newsam,

Andrew Tao,

Bryan Catanzaro; [pdf] [supp] [video]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Yi and Sapra, Karan and Reda, Fitsum A. and Shih, Kevin J. and Newsam, Shawn and Tao, Andrew and Catanzaro, Bryan},
title = {Improving Semantic Segmentation via Video Propagation and Label Relaxation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video: Samvit Jain,

Xin Wang,

Joseph E. Gonzalez; [pdf] [video]
[bibtex]
@InProceedings{Jain_2019_CVPR,
author = {Jain, Samvit and Wang, Xin and Gonzalez, Joseph E.},
title = {Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes: Xiaogang Wang,

Bin Zhou,

Yahao Shi,

Xiaowu Chen,

Qinping Zhao,

Kai Xu; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Xiaogang and Zhou, Bin and Shi, Yahao and Chen, Xiaowu and Zhao, Qinping and Xu, Kai},
title = {Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantic Correlation Promoted Shape-Variant Context for Segmentation: Henghui Ding,

Xudong Jiang,

Bing Shuai,

Ai Qun Liu,

Gang Wang; [pdf] [video]
[bibtex]
@InProceedings{Ding_2019_CVPR,
author = {Ding, Henghui and Jiang, Xudong and Shuai, Bing and Liu, Ai Qun and Wang, Gang},
title = {Semantic Correlation Promoted Shape-Variant Context for Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Relation-Shape Convolutional Neural Network for Point Cloud Analysis: Yongcheng Liu,

Bin Fan,

Shiming Xiang,

Chunhong Pan; [pdf] [supp] [video]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Yongcheng and Fan, Bin and Xiang, Shiming and Pan, Chunhong},
title = {Relation-Shape Convolutional Neural Network for Point Cloud Analysis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network: Wenda Zhao,

Bowen Zheng,

Qiuhua Lin,

Huchuan Lu; [pdf] [video]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Wenda and Zheng, Bowen and Lin, Qiuhua and Lu, Huchuan},
title = {Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames: Brent A. Griffin,

Jason J. Corso; [pdf] [supp] [video]
[bibtex]
@InProceedings{Griffin_2019_CVPR,
author = {Griffin, Brent A. and Corso, Jason J.},
title = {BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images: Wuyang Chen,

Ziyu Jiang,

Zhangyang Wang,

Kexin Cui,

Xiaoning Qian; [pdf] [supp] [video]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Wuyang and Jiang, Ziyu and Wang, Zhangyang and Cui, Kexin and Qian, Xiaoning},
title = {Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Efficient Parameter-Free Clustering Using First Neighbor Relations: Saquib Sarfraz,

Vivek Sharma,

Rainer Stiefelhagen; [pdf] [supp] [video]
[bibtex]
@InProceedings{Sarfraz_2019_CVPR,
author = {Sarfraz, Saquib and Sharma, Vivek and Stiefelhagen, Rainer},
title = {Efficient Parameter-Free Clustering Using First Neighbor Relations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Personalized Modular Network Guided by Structured Knowledge: Xiaodan Liang; [pdf] [video]
[bibtex]
@InProceedings{Liang_2019_CVPR,
author = {Liang, Xiaodan},
title = {Learning Personalized Modular Network Guided by Structured Knowledge},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Generative Appearance Model for End-To-End Video Object Segmentation: Joakim Johnander,

Martin Danelljan,

Emil Brissman,

Fahad Shahbaz Khan,

Michael Felsberg; [pdf] [supp] [video]
[bibtex]
@InProceedings{Johnander_2019_CVPR,
author = {Johnander, Joakim and Danelljan, Martin and Brissman, Emil and Khan, Fahad Shahbaz and Felsberg, Michael},
title = {A Generative Appearance Model for End-To-End Video Object Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Flexible Convolutional Solver for Fast Style Transfers: Gilles Puy,

Patrick Perez; [pdf] [supp]
[bibtex]
@InProceedings{Puy_2019_CVPR,
author = {Puy, Gilles and Perez, Patrick},
title = {A Flexible Convolutional Solver for Fast Style Transfers},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cross Domain Model Compression by Structurally Weight Sharing: Shangqian Gao,

Cheng Deng,

Heng Huang; [pdf] [supp]
[bibtex]
@InProceedings{Gao_2019_CVPR,
author = {Gao, Shangqian and Deng, Cheng and Huang, Heng},
title = {Cross Domain Model Compression by Structurally Weight Sharing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning: Matthew Amodio,

Smita Krishnaswamy; [pdf] [supp]
[bibtex]
@InProceedings{Amodio_2019_CVPR,
author = {Amodio, Matthew and Krishnaswamy, Smita},
title = {TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Robust Subjective Visual Property Prediction in Crowdsourcing: Qianqian Xu,

Zhiyong Yang,

Yangbangyan Jiang,

Xiaochun Cao,

Qingming Huang,

Yuan Yao; [pdf] [supp]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Qianqian and Yang, Zhiyong and Jiang, Yangbangyan and Cao, Xiaochun and Huang, Qingming and Yao, Yuan},
title = {Deep Robust Subjective Visual Property Prediction in Crowdsourcing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Transferable AutoML by Model Sharing Over Grouped Datasets: Chao Xue,

Junchi Yan,

Rong Yan,

Stephen M. Chu,

Yonggang Hu,

Yonghua Lin; [pdf]
[bibtex]
@InProceedings{Xue_2019_CVPR,
author = {Xue, Chao and Yan, Junchi and Yan, Rong and Chu, Stephen M. and Hu, Yonggang and Lin, Yonghua},
title = {Transferable AutoML by Model Sharing Over Grouped Datasets},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Not to Learn: Training Deep Neural Networks With Biased Data: Byungju Kim,

Hyunwoo Kim,

Kyungsu Kim,

Sungjin Kim,

Junmo Kim; [pdf] [supp]
[bibtex]
@InProceedings{Kim_2019_CVPR,
author = {Kim, Byungju and Kim, Hyunwoo and Kim, Kyungsu and Kim, Sungjin and Kim, Junmo},
title = {Learning Not to Learn: Training Deep Neural Networks With Biased Data},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
IRLAS: Inverse Reinforcement Learning for Architecture Search: Minghao Guo,

Zhao Zhong,

Wei Wu,

Dahua Lin,

Junjie Yan; [pdf]
[bibtex]
@InProceedings{Guo_2019_CVPR,
author = {Guo, Minghao and Zhong, Zhao and Wu, Wei and Lin, Dahua and Yan, Junjie},
title = {IRLAS: Inverse Reinforcement Learning for Architecture Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences: Seonguk Seo,

Paul Hongsuck Seo,

Bohyung Han; [pdf] [supp]
[bibtex]
@InProceedings{Seo_2019_CVPR,
author = {Seo, Seonguk and Seo, Paul Hongsuck and Han, Bohyung},
title = {Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions: Masanori Suganuma,

Xing Liu,

Takayuki Okatani; [pdf] [supp]
[bibtex]
@InProceedings{Suganuma_2019_CVPR,
author = {Suganuma, Masanori and Liu, Xing and Okatani, Takayuki},
title = {Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks: Xijun Wang,

Meina Kan,

Shiguang Shan,

Xilin Chen; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Xijun and Kan, Meina and Shan, Shiguang and Chen, Xilin},
title = {Fully Learnable Group Convolution for Acceleration of Deep Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch: Jian Ren,

Zhe Li,

Jianchao Yang,

Ning Xu,

Tianbao Yang,

David J. Foran; [pdf]
[bibtex]
@InProceedings{Ren_2019_CVPR,
author = {Ren, Jian and Li, Zhe and Yang, Jianchao and Xu, Ning and Yang, Tianbao and Foran, David J.},
title = {EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Incremental Hashing Network for Efficient Image Retrieval: Dayan Wu,

Qi Dai,

Jing Liu,

Bo Li,

Weiping Wang; [pdf]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Dayan and Dai, Qi and Liu, Jing and Li, Bo and Wang, Weiping},
title = {Deep Incremental Hashing Network for Efficient Image Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Robustness via Curvature Regularization, and Vice Versa: Seyed-Mohsen Moosavi-Dezfooli,

Alhussein Fawzi,

Jonathan Uesato,

Pascal Frossard; [pdf] [supp]
[bibtex]
@InProceedings{Moosavi-Dezfooli_2019_CVPR,
author = {Moosavi-Dezfooli, Seyed-Mohsen and Fawzi, Alhussein and Uesato, Jonathan and Frossard, Pascal},
title = {Robustness via Curvature Regularization, and Vice Versa},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SparseFool: A Few Pixels Make a Big Difference: Apostolos Modas,

Seyed-Mohsen Moosavi-Dezfooli,

Pascal Frossard; [pdf]
[bibtex]
@InProceedings{Modas_2019_CVPR,
author = {Modas, Apostolos and Moosavi-Dezfooli, Seyed-Mohsen and Frossard, Pascal},
title = {SparseFool: A Few Pixels Make a Big Difference},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks: Jorg Wagner,

Jan Mathias Kohler,

Tobias Gindele,

Leon Hetzel,

Jakob Thaddaus Wiedemer,

Sven Behnke; [pdf] [supp]
[bibtex]
@InProceedings{Wagner_2019_CVPR,
author = {Wagner, Jorg and Kohler, Jan Mathias and Gindele, Tobias and Hetzel, Leon and Wiedemer, Jakob Thaddaus and Behnke, Sven},
title = {Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Structured Pruning of Neural Networks With Budget-Aware Regularization: Carl Lemaire,

Andrew Achkar,

Pierre-Marc Jodoin; [pdf] [supp]
[bibtex]
@InProceedings{Lemaire_2019_CVPR,
author = {Lemaire, Carl and Achkar, Andrew and Jodoin, Pierre-Marc},
title = {Structured Pruning of Neural Networks With Budget-Aware Regularization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MBS: Macroblock Scaling for CNN Model Reduction: Yu-Hsun Lin,

Chun-Nan Chou,

Edward Y. Chang; [pdf]
[bibtex]
@InProceedings{Lin_2019_CVPR,
author = {Lin, Yu-Hsun and Chou, Chun-Nan and Chang, Edward Y.},
title = {MBS: Macroblock Scaling for CNN Model Reduction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells: Vladimir Nekrasov,

Hao Chen,

Chunhua Shen,

Ian Reid; [pdf] [supp]
[bibtex]
@InProceedings{Nekrasov_2019_CVPR,
author = {Nekrasov, Vladimir and Chen, Hao and Shen, Chunhua and Reid, Ian},
title = {Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generating 3D Adversarial Point Clouds: Chong Xiang,

Charles R. Qi,

Bo Li; [pdf] [supp]
[bibtex]
@InProceedings{Xiang_2019_CVPR,
author = {Xiang, Chong and Qi, Charles R. and Li, Bo},
title = {Generating 3D Adversarial Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search: Xin Li,

Yiming Zhou,

Zheng Pan,

Jiashi Feng; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Xin and Zhou, Yiming and Pan, Zheng and Feng, Jiashi},
title = {Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics: Yunbo Wang,

Jianjin Zhang,

Hongyu Zhu,

Mingsheng Long,

Jianmin Wang,

Philip S. Yu; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Yunbo and Zhang, Jianjin and Zhu, Hongyu and Long, Mingsheng and Wang, Jianmin and Yu, Philip S.},
title = {Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Variational Information Distillation for Knowledge Transfer: Sungsoo Ahn,

Shell Xu Hu,

Andreas Damianou,

Neil D. Lawrence,

Zhenwen Dai; [pdf] [supp]
[bibtex]
@InProceedings{Ahn_2019_CVPR,
author = {Ahn, Sungsoo and Hu, Shell Xu and Damianou, Andreas and Lawrence, Neil D. and Dai, Zhenwen},
title = {Variational Information Distillation for Knowledge Transfer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs: Zhourong Chen,

Yang Li,

Samy Bengio,

Si Si; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Zhourong and Li, Yang and Bengio, Samy and Si, Si},
title = {You Look Twice: GaterNet for Dynamic Filter Selection in CNNs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images: Yeonkun Lee,

Jaeseok Jeong,

Jongseob Yun,

Wonjune Cho,

Kuk-Jin Yoon; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2019_CVPR,
author = {Lee, Yeonkun and Jeong, Jaeseok and Yun, Jongseob and Cho, Wonjune and Yoon, Kuk-Jin},
title = {SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network: Sachin Mehta,

Mohammad Rastegari,

Linda Shapiro,

Hannaneh Hajishirzi; [pdf]
[bibtex]
@InProceedings{Mehta_2019_CVPR,
author = {Mehta, Sachin and Rastegari, Mohammad and Shapiro, Linda and Hajishirzi, Hannaneh},
title = {ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors: Mohammad Mahdi Derakhshani,

Saeed Masoudnia,

Amir Hossein Shaker,

Omid Mersa,

Mohammad Amin Sadeghi,

Mohammad Rastegari,

Babak N. Araabi; [pdf]
[bibtex]
@InProceedings{Derakhshani_2019_CVPR,
author = {Derakhshani, Mohammad Mahdi and Masoudnia, Saeed and Shaker, Amir Hossein and Mersa, Omid and Sadeghi, Mohammad Amin and Rastegari, Mohammad and Araabi, Babak N.},
title = {Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Exploiting Edge Features for Graph Neural Networks: Liyu Gong,

Qiang Cheng; [pdf]
[bibtex]
@InProceedings{Gong_2019_CVPR,
author = {Gong, Liyu and Cheng, Qiang},
title = {Exploiting Edge Features for Graph Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Propagation Mechanism for Deep and Wide Neural Networks: Dejiang Xu,

Mong Li Lee,

Wynne Hsu; [pdf]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Dejiang and Lee, Mong Li and Hsu, Wynne},
title = {Propagation Mechanism for Deep and Wide Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks: Chih-Hui Ho,

Brandon Leung,

Erik Sandstrom,

Yen Chang,

Nuno Vasconcelos; [pdf] [supp]
[bibtex]
@InProceedings{Ho_2019_CVPR,
author = {Ho, Chih-Hui and Leung, Brandon and Sandstrom, Erik and Chang, Yen and Vasconcelos, Nuno},
title = {Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Embedding Complementary Deep Networks for Image Classification: Qiuyu Chen,

Wei Zhang,

Jun Yu,

Jianping Fan; [pdf]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Qiuyu and Zhang, Wei and Yu, Jun and Fan, Jianping},
title = {Embedding Complementary Deep Networks for Image Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Multimodal Clustering for Unsupervised Audiovisual Learning: Di Hu,

Feiping Nie,

Xuelong Li; [pdf] [supp]
[bibtex]
@InProceedings{Hu_2019_CVPR,
author = {Hu, Di and Nie, Feiping and Li, Xuelong},
title = {Deep Multimodal Clustering for Unsupervised Audiovisual Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dense Classification and Implanting for Few-Shot Learning: Yann Lifchitz,

Yannis Avrithis,

Sylvaine Picard,

Andrei Bursuc; [pdf]
[bibtex]
@InProceedings{Lifchitz_2019_CVPR,
author = {Lifchitz, Yann and Avrithis, Yannis and Picard, Sylvaine and Bursuc, Andrei},
title = {Dense Classification and Implanting for Few-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Class-Balanced Loss Based on Effective Number of Samples: Yin Cui,

Menglin Jia,

Tsung-Yi Lin,

Yang Song,

Serge Belongie; [pdf]
[bibtex]
@InProceedings{Cui_2019_CVPR,
author = {Cui, Yin and Jia, Menglin and Lin, Tsung-Yi and Song, Yang and Belongie, Serge},
title = {Class-Balanced Loss Based on Effective Number of Samples},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning: Xi Shen,

Alexei A. Efros,

Mathieu Aubry; [pdf]
[bibtex]
@InProceedings{Shen_2019_CVPR,
author = {Shen, Xi and Efros, Alexei A. and Aubry, Mathieu},
title = {Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Min-Max Statistical Alignment for Transfer Learning: Samitha Herath,

Mehrtash Harandi,

Basura Fernando,

Richard Nock; [pdf] [supp]
[bibtex]
@InProceedings{Herath_2019_CVPR,
author = {Herath, Samitha and Harandi, Mehrtash and Fernando, Basura and Nock, Richard},
title = {Min-Max Statistical Alignment for Transfer Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spatial-Aware Graph Relation Network for Large-Scale Object Detection: Hang Xu,

Chenhan Jiang,

Xiaodan Liang,

Zhenguo Li; [pdf] [supp]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Hang and Jiang, Chenhan and Liang, Xiaodan and Li, Zhenguo},
title = {Spatial-Aware Graph Relation Network for Large-Scale Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deformable ConvNets V2: More Deformable, Better Results: Xizhou Zhu,

Han Hu,

Stephen Lin,

Jifeng Dai; [pdf]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Xizhou and Hu, Han and Lin, Stephen and Dai, Jifeng},
title = {Deformable ConvNets V2: More Deformable, Better Results},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Interaction-And-Aggregation Network for Person Re-Identification: Ruibing Hou,

Bingpeng Ma,

Hong Chang,

Xinqian Gu,

Shiguang Shan,

Xilin Chen; [pdf]
[bibtex]
@InProceedings{Hou_2019_CVPR,
author = {Hou, Ruibing and Ma, Bingpeng and Chang, Hong and Gu, Xinqian and Shan, Shiguang and Chen, Xilin},
title = {Interaction-And-Aggregation Network for Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Rare Event Detection Using Disentangled Representation Learning: Ryuhei Hamaguchi,

Ken Sakurada,

Ryosuke Nakamura; [pdf] [supp]
[bibtex]
@InProceedings{Hamaguchi_2019_CVPR,
author = {Hamaguchi, Ryuhei and Sakurada, Ken and Nakamura, Ryosuke},
title = {Rare Event Detection Using Disentangled Representation Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Shape Robust Text Detection With Progressive Scale Expansion Network: Wenhai Wang,

Enze Xie,

Xiang Li,

Wenbo Hou,

Tong Lu,

Gang Yu,

Shuai Shao; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Wenhai and Xie, Enze and Li, Xiang and Hou, Wenbo and Lu, Tong and Yu, Gang and Shao, Shuai},
title = {Shape Robust Text Detection With Progressive Scale Expansion Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dual Encoding for Zero-Example Video Retrieval: Jianfeng Dong,

Xirong Li,

Chaoxi Xu,

Shouling Ji,

Yuan He,

Gang Yang,

Xun Wang; [pdf]
[bibtex]
@InProceedings{Dong_2019_CVPR,
author = {Dong, Jianfeng and Li, Xirong and Xu, Chaoxi and Ji, Shouling and He, Yuan and Yang, Gang and Wang, Xun},
title = {Dual Encoding for Zero-Example Video Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors: Lile Cai,

Bin Zhao,

Zhe Wang,

Jie Lin,

Chuan Sheng Foo,

Mohamed Sabry Aly,

Vijay Chandrasekhar; [pdf]
[bibtex]
@InProceedings{Cai_2019_CVPR,
author = {Cai, Lile and Zhao, Bin and Wang, Zhe and Lin, Jie and Foo, Chuan Sheng and Aly, Mohamed Sabry and Chandrasekhar, Vijay},
title = {MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Character Region Awareness for Text Detection: Youngmin Baek,

Bado Lee,

Dongyoon Han,

Sangdoo Yun,

Hwalsuk Lee; [pdf] [supp]
[bibtex]
@InProceedings{Baek_2019_CVPR,
author = {Baek, Youngmin and Lee, Bado and Han, Dongyoon and Yun, Sangdoo and Lee, Hwalsuk},
title = {Character Region Awareness for Text Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features: Vlad Hosu,

Bastian Goldlucke,

Dietmar Saupe; [pdf] [supp]
[bibtex]
@InProceedings{Hosu_2019_CVPR,
author = {Hosu, Vlad and Goldlucke, Bastian and Saupe, Dietmar},
title = {Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attentive Region Embedding Network for Zero-Shot Learning: Guo-Sen Xie,

Li Liu,

Xiaobo Jin,

Fan Zhu,

Zheng Zhang,

Jie Qin,

Yazhou Yao,

Ling Shao; [pdf]
[bibtex]
@InProceedings{Xie_2019_CVPR,
author = {Xie, Guo-Sen and Liu, Li and Jin, Xiaobo and Zhu, Fan and Zhang, Zheng and Qin, Jie and Yao, Yazhou and Shao, Ling},
title = {Attentive Region Embedding Network for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Explicit Spatial Encoding for Deep Local Descriptors: Arun Mukundan,

Giorgos Tolias,

Ondrej Chum; [pdf]
[bibtex]
@InProceedings{Mukundan_2019_CVPR,
author = {Mukundan, Arun and Tolias, Giorgos and Chum, Ondrej},
title = {Explicit Spatial Encoding for Deep Local Descriptors},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Panoptic Segmentation: Alexander Kirillov,

Kaiming He,

Ross Girshick,

Carsten Rother,

Piotr Dollar; [pdf]
[bibtex]
@InProceedings{Kirillov_2019_CVPR,
author = {Kirillov, Alexander and He, Kaiming and Girshick, Ross and Rother, Carsten and Dollar, Piotr},
title = {Panoptic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection: Krishna Kumar Singh,

Yong Jae Lee; [pdf]
[bibtex]
@InProceedings{Singh_2019_CVPR,
author = {Singh, Krishna Kumar and Lee, Yong Jae},
title = {You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Explore-Exploit Graph Traversal for Image Retrieval: Cheng Chang,

Guangwei Yu,

Chundi Liu,

Maksims Volkovs; [pdf]
[bibtex]
@InProceedings{Chang_2019_CVPR,
author = {Chang, Cheng and Yu, Guangwei and Liu, Chundi and Volkovs, Maksims},
title = {Explore-Exploit Graph Traversal for Image Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dissimilarity Coefficient Based Weakly Supervised Object Detection: Aditya Arun,

C.V. Jawahar,

M. Pawan Kumar; [pdf] [supp]
[bibtex]
@InProceedings{Arun_2019_CVPR,
author = {Arun, Aditya and Jawahar, C.V. and Kumar, M. Pawan},
title = {Dissimilarity Coefficient Based Weakly Supervised Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Kernel Transformer Networks for Compact Spherical Convolution: Yu-Chuan Su,

Kristen Grauman; [pdf] [supp]
[bibtex]
@InProceedings{Su_2019_CVPR,
author = {Su, Yu-Chuan and Grauman, Kristen},
title = {Kernel Transformer Networks for Compact Spherical Convolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering: Chen Zhang,

Joohee Kim; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Chen and Kim, Joohee},
title = {Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images: Junsik Kim,

Tae-Hyun Oh,

Seokju Lee,

Fei Pan,

In So Kweon; [pdf] [supp]
[bibtex]
@InProceedings{Kim_2019_CVPR,
author = {Kim, Junsik and Oh, Tae-Hyun and Lee, Seokju and Pan, Fei and Kweon, In So},
title = {Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss: Subhankar Roy,

Aliaksandr Siarohin,

Enver Sangineto,

Samuel Rota Bulo,

Nicu Sebe,

Elisa Ricci; [pdf] [supp]
[bibtex]
@InProceedings{Roy_2019_CVPR,
author = {Roy, Subhankar and Siarohin, Aliaksandr and Sangineto, Enver and Bulo, Samuel Rota and Sebe, Nicu and Ricci, Elisa},
title = {Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation: Paul Voigtlaender,

Yuning Chai,

Florian Schroff,

Hartwig Adam,

Bastian Leibe,

Liang-Chieh Chen; [pdf] [supp]
[bibtex]
@InProceedings{Voigtlaender_2019_CVPR,
author = {Voigtlaender, Paul and Chai, Yuning and Schroff, Florian and Adam, Hartwig and Leibe, Bastian and Chen, Liang-Chieh},
title = {FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation: Fenggen Yu,

Kun Liu,

Yan Zhang,

Chenyang Zhu,

Kai Xu; [pdf]
[bibtex]
@InProceedings{Yu_2019_CVPR,
author = {Yu, Fenggen and Liu, Kun and Zhang, Yan and Zhu, Chenyang and Xu, Kai},
title = {PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Multi-Class Segmentations From Single-Class Datasets: Konstantin Dmitriev,

Arie E. Kaufman; [pdf] [supp]
[bibtex]
@InProceedings{Dmitriev_2019_CVPR,
author = {Dmitriev, Konstantin and Kaufman, Arie E.},
title = {Learning Multi-Class Segmentations From Single-Class Datasets},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Convolutional Recurrent Network for Road Boundary Extraction: Justin Liang,

Namdar Homayounfar,

Wei-Chiu Ma,

Shenlong Wang,

Raquel Urtasun; [pdf]
[bibtex]
@InProceedings{Liang_2019_CVPR,
author = {Liang, Justin and Homayounfar, Namdar and Ma, Wei-Chiu and Wang, Shenlong and Urtasun, Raquel},
title = {Convolutional Recurrent Network for Road Boundary Extraction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation: Hanchao Li,

Pengfei Xiong,

Haoqiang Fan,

Jian Sun; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Hanchao and Xiong, Pengfei and Fan, Haoqiang and Sun, Jian},
title = {DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation: Mans Larsson,

Erik Stenborg,

Lars Hammarstrand,

Marc Pollefeys,

Torsten Sattler,

Fredrik Kahl; [pdf] [supp]
[bibtex]
@InProceedings{Larsson_2019_CVPR,
author = {Larsson, Mans and Stenborg, Erik and Hammarstrand, Lars and Pollefeys, Marc and Sattler, Torsten and Kahl, Fredrik},
title = {A Cross-Season Correspondence Dataset for Robust Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features: Yue Wu,

Wael AbdAlmageed,

Premkumar Natarajan; [pdf]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Yue and AbdAlmageed, Wael and Natarajan, Premkumar},
title = {ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
On Zero-Shot Recognition of Generic Objects: Tristan Hascoet,

Yasuo Ariki,

Tetsuya Takiguchi; [pdf] [supp]
[bibtex]
@InProceedings{Hascoet_2019_CVPR,
author = {Hascoet, Tristan and Ariki, Yasuo and Takiguchi, Tetsuya},
title = {On Zero-Shot Recognition of Generic Objects},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Explicit Bias Discovery in Visual Question Answering Models: Varun Manjunatha,

Nirat Saini,

Larry S. Davis; [pdf]
[bibtex]
@InProceedings{Manjunatha_2019_CVPR,
author = {Manjunatha, Varun and Saini, Nirat and Davis, Larry S.},
title = {Explicit Bias Discovery in Visual Question Answering Models},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
REPAIR: Removing Representation Bias by Dataset Resampling: Yi Li,

Nuno Vasconcelos; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yi and Vasconcelos, Nuno},
title = {REPAIR: Removing Representation Bias by Dataset Resampling},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Label Efficient Semi-Supervised Learning via Graph Filtering: Qimai Li,

Xiao-Ming Wu,

Han Liu,

Xiaotong Zhang,

Zhichao Guan; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Qimai and Wu, Xiao-Ming and Liu, Han and Zhang, Xiaotong and Guan, Zhichao},
title = {Label Efficient Semi-Supervised Learning via Graph Filtering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection: Paul Bergmann,

Michael Fauser,

David Sattlegger,

Carsten Steger; [pdf] [supp]
[bibtex]
@InProceedings{Bergmann_2019_CVPR,
author = {Bergmann, Paul and Fauser, Michael and Sattlegger, David and Steger, Carsten},
title = {MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ABC: A Big CAD Model Dataset for Geometric Deep Learning: Sebastian Koch,

Albert Matveev,

Zhongshi Jiang,

Francis Williams,

Alexey Artemov,

Evgeny Burnaev,

Marc Alexa,

Denis Zorin,

Daniele Panozzo; [pdf] [supp]
[bibtex]
@InProceedings{Koch_2019_CVPR,
author = {Koch, Sebastian and Matveev, Albert and Jiang, Zhongshi and Williams, Francis and Artemov, Alexey and Burnaev, Evgeny and Alexa, Marc and Zorin, Denis and Panozzo, Daniele},
title = {ABC: A Big CAD Model Dataset for Geometric Deep Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Tightness-Aware Evaluation Protocol for Scene Text Detection: Yuliang Liu,

Lianwen Jin,

Zecheng Xie,

Canjie Luo,

Shuaitao Zhang,

Lele Xie; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Yuliang and Jin, Lianwen and Xie, Zecheng and Luo, Canjie and Zhang, Shuaitao and Xie, Lele},
title = {Tightness-Aware Evaluation Protocol for Scene Text Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PointConv: Deep Convolutional Networks on 3D Point Clouds: Wenxuan Wu,

Zhongang Qi,

Li Fuxin; [pdf]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Wenxuan and Qi, Zhongang and Fuxin, Li},
title = {PointConv: Deep Convolutional Networks on 3D Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Octree Guided CNN With Spherical Kernels for 3D Point Clouds: Huan Lei,

Naveed Akhtar,

Ajmal Mian; [pdf] [supp]
[bibtex]
@InProceedings{Lei_2019_CVPR,
author = {Lei, Huan and Akhtar, Naveed and Mian, Ajmal},
title = {Octree Guided CNN With Spherical Kernels for 3D Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points: Masashi Yokozuka,

Shuji Oishi,

Simon Thompson,

Atsuhiko Banno; [pdf] [supp]
[bibtex]
@InProceedings{Yokozuka_2019_CVPR,
author = {Yokozuka, Masashi and Oishi, Shuji and Thompson, Simon and Banno, Atsuhiko},
title = {VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction: Yi Wei,

Shaohui Liu,

Wang Zhao,

Jiwen Lu; [pdf] [supp]
[bibtex]
@InProceedings{Wei_2019_CVPR,
author = {Wei, Yi and Liu, Shaohui and Zhao, Wang and Lu, Jiwen},
title = {Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Adapt for Stereo: Alessio Tonioni,

Oscar Rahnama,

Thomas Joy,

Luigi Di Stefano,

Thalaiyasingam Ajanthan,

Philip H.S. Torr; [pdf] [supp]
[bibtex]
@InProceedings{Tonioni_2019_CVPR,
author = {Tonioni, Alessio and Rahnama, Oscar and Joy, Thomas and Stefano, Luigi Di and Ajanthan, Thalaiyasingam and Torr, Philip H.S.},
title = {Learning to Adapt for Stereo},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D Appearance Super-Resolution With Deep Learning: Yawei Li,

Vagia Tsiminaki,

Radu Timofte,

Marc Pollefeys,

Luc Van Gool; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yawei and Tsiminaki, Vagia and Timofte, Radu and Pollefeys, Marc and Gool, Luc Van},
title = {3D Appearance Super-Resolution With Deep Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Radial Distortion Triangulation: Zuzana Kukelova,

Viktor Larsson; [pdf] [supp]
[bibtex]
@InProceedings{Kukelova_2019_CVPR,
author = {Kukelova, Zuzana and Larsson, Viktor},
title = {Radial Distortion Triangulation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes: Ziquan Lan,

Zi Jian Yew,

Gim Hee Lee; [pdf]
[bibtex]
@InProceedings{Lan_2019_CVPR,
author = {Lan, Ziquan and Yew, Zi Jian and Lee, Gim Hee},
title = {Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment: Pedro Miraldo,

Surojit Saha,

Srikumar Ramalingam; [pdf]
[bibtex]
@InProceedings{Miraldo_2019_CVPR,
author = {Miraldo, Pedro and Saha, Surojit and Ramalingam, Srikumar},
title = {Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning: Rohit Pandey,

Anastasia Tkach,

Shuoran Yang,

Pavel Pidlypenskyi,

Jonathan Taylor,

Ricardo Martin-Brualla,

Andrea Tagliasacchi,

George Papandreou,

Philip Davidson,

Cem Keskin,

Shahram Izadi,

Sean Fanello; [pdf] [supp]
[bibtex]
@InProceedings{Pandey_2019_CVPR,
author = {Pandey, Rohit and Tkach, Anastasia and Yang, Shuoran and Pidlypenskyi, Pavel and Taylor, Jonathan and Martin-Brualla, Ricardo and Tagliasacchi, Andrea and Papandreou, George and Davidson, Philip and Keskin, Cem and Izadi, Shahram and Fanello, Sean},
title = {Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Joint Face Detection and Facial Motion Retargeting for Multiple Faces: Bindita Chaudhuri,

Noranart Vesdapunt,

Baoyuan Wang; [pdf] [supp]
[bibtex]
@InProceedings{Chaudhuri_2019_CVPR,
author = {Chaudhuri, Bindita and Vesdapunt, Noranart and Wang, Baoyuan},
title = {Joint Face Detection and Facial Motion Retargeting for Multiple Faces},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Monocular Depth Estimation Using Relative Depth Maps: Jae-Han Lee,

Chang-Su Kim; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2019_CVPR,
author = {Lee, Jae-Han and Kim, Chang-Su},
title = {Monocular Depth Estimation Using Relative Depth Maps},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Primitive Discovery for Improved 3D Generative Modeling: Salman H. Khan,

Yulan Guo,

Munawar Hayat,

Nick Barnes; [pdf]
[bibtex]
@InProceedings{Khan_2019_CVPR,
author = {Khan, Salman H. and Guo, Yulan and Hayat, Munawar and Barnes, Nick},
title = {Unsupervised Primitive Discovery for Improved 3D Generative Modeling},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Explore Intrinsic Saliency for Stereoscopic Video: Qiudan Zhang,

Xu Wang,

Shiqi Wang,

Shikai Li,

Sam Kwong,

Jianmin Jiang; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Qiudan and Wang, Xu and Wang, Shiqi and Li, Shikai and Kwong, Sam and Jiang, Jianmin},
title = {Learning to Explore Intrinsic Saliency for Stereoscopic Video},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres: Shuai Liao,

Efstratios Gavves,

Cees G. M. Snoek; [pdf] [supp]
[bibtex]
@InProceedings{Liao_2019_CVPR,
author = {Liao, Shuai and Gavves, Efstratios and Snoek, Cees G. M.},
title = {Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation: Andrea Pilzer,

Stephane Lathuiliere,

Nicu Sebe,

Elisa Ricci; [pdf]
[bibtex]
@InProceedings{Pilzer_2019_CVPR,
author = {Pilzer, Andrea and Lathuiliere, Stephane and Sebe, Nicu and Ricci, Elisa},
title = {Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning View Priors for Single-View 3D Reconstruction: Hiroharu Kato,

Tatsuya Harada; [pdf] [supp]
[bibtex]
@InProceedings{Kato_2019_CVPR,
author = {Kato, Hiroharu and Harada, Tatsuya},
title = {Learning View Priors for Single-View 3D Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation: Shanshan Zhao,

Huan Fu,

Mingming Gong,

Dacheng Tao; [pdf]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Shanshan and Fu, Huan and Gong, Mingming and Tao, Dacheng},
title = {Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge: Fabio Tosi,

Filippo Aleotti,

Matteo Poggi,

Stefano Mattoccia; [pdf] [supp]
[bibtex]
@InProceedings{Tosi_2019_CVPR,
author = {Tosi, Fabio and Aleotti, Filippo and Poggi, Matteo and Mattoccia, Stefano},
title = {Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception: Yue Meng,

Yongxi Lu,

Aman Raj,

Samuel Sunarjo,

Rui Guo,

Tara Javidi,

Gaurav Bansal,

Dinesh Bharadia; [pdf] [supp]
[bibtex]
@InProceedings{Meng_2019_CVPR,
author = {Meng, Yue and Lu, Yongxi and Raj, Aman and Sunarjo, Samuel and Guo, Rui and Javidi, Tara and Bansal, Gaurav and Bharadia, Dinesh},
title = {SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D Guided Fine-Grained Face Manipulation: Zhenglin Geng,

Chen Cao,

Sergey Tulyakov; [pdf] [supp]
[bibtex]
@InProceedings{Geng_2019_CVPR,
author = {Geng, Zhenglin and Cao, Chen and Tulyakov, Sergey},
title = {3D Guided Fine-Grained Face Manipulation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neuro-Inspired Eye Tracking With Eye Movement Dynamics: Kang Wang,

Hui Su,

Qiang Ji; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Kang and Su, Hui and Ji, Qiang},
title = {Neuro-Inspired Eye Tracking With Eye Movement Dynamics},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally: Xiuyi Jia,

Xiang Zheng,

Weiwei Li,

Changqing Zhang,

Zechao Li; [pdf]
[bibtex]
@InProceedings{Jia_2019_CVPR,
author = {Jia, Xiuyi and Zheng, Xiang and Li, Weiwei and Zhang, Changqing and Li, Zechao},
title = {Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Face Normalization With Extreme Pose and Expression in the Wild: Yichen Qian,

Weihong Deng,

Jiani Hu; [pdf] [supp]
[bibtex]
@InProceedings{Qian_2019_CVPR,
author = {Qian, Yichen and Deng, Weihong and Hu, Jiani},
title = {Unsupervised Face Normalization With Extreme Pose and Expression in the Wild},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantic Component Decomposition for Face Attribute Manipulation: Ying-Cong Chen,

Xiaohui Shen,

Zhe Lin,

Xin Lu,

I-Ming Pao,

Jiaya Jia; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Ying-Cong and Shen, Xiaohui and Lin, Zhe and Lu, Xin and Pao, I-Ming and Jia, Jiaya},
title = {Semantic Component Decomposition for Face Attribute Manipulation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
R3 Adversarial Network for Cross Model Face Recognition: Ken Chen,

Yichao Wu,

Haoyu Qin,

Ding Liang,

Xuebo Liu,

Junjie Yan; [pdf]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Ken and Wu, Yichao and Qin, Haoyu and Liang, Ding and Liu, Xuebo and Yan, Junjie},
title = {R3 Adversarial Network for Cross Model Face Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Disentangling Latent Hands for Image Synthesis and Pose Estimation: Linlin Yang,

Angela Yao; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Linlin and Yao, Angela},
title = {Disentangling Latent Hands for Image Synthesis and Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network: Chen Li,

Gim Hee Lee; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Chen and Lee, Gim Hee},
title = {Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation: Kuo Du,

Xiangbo Lin,

Yi Sun,

Xiaohong Ma; [pdf]
[bibtex]
@InProceedings{Du_2019_CVPR,
author = {Du, Kuo and Lin, Xiangbo and Sun, Yi and Ma, Xiaohong},
title = {CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
P2SGrad: Refined Gradients for Optimizing Deep Face Models: Xiao Zhang,

Rui Zhao,

Junjie Yan,

Mengya Gao,

Yu Qiao,

Xiaogang Wang,

Hongsheng Li; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Xiao and Zhao, Rui and Yan, Junjie and Gao, Mengya and Qiao, Yu and Wang, Xiaogang and Li, Hongsheng},
title = {P2SGrad: Refined Gradients for Optimizing Deep Face Models},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Action Recognition From Single Timestamp Supervision in Untrimmed Videos: Davide Moltisanti,

Sanja Fidler,

Dima Damen; [pdf] [supp]
[bibtex]
@InProceedings{Moltisanti_2019_CVPR,
author = {Moltisanti, Davide and Fidler, Sanja and Damen, Dima},
title = {Action Recognition From Single Timestamp Supervision in Untrimmed Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Time-Conditioned Action Anticipation in One Shot: Qiuhong Ke,

Mario Fritz,

Bernt Schiele; [pdf]
[bibtex]
@InProceedings{Ke_2019_CVPR,
author = {Ke, Qiuhong and Fritz, Mario and Schiele, Bernt},
title = {Time-Conditioned Action Anticipation in One Shot},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dance With Flow: Two-In-One Stream Action Detection: Jiaojiao Zhao,

Cees G. M. Snoek; [pdf] [supp]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Jiaojiao and Snoek, Cees G. M.},
title = {Dance With Flow: Two-In-One Stream Action Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Representation Flow for Action Recognition: AJ Piergiovanni,

Michael S. Ryoo; [pdf] [supp]
[bibtex]
@InProceedings{Piergiovanni_2019_CVPR,
author = {Piergiovanni, AJ and Ryoo, Michael S.},
title = {Representation Flow for Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LSTA: Long Short-Term Attention for Egocentric Action Recognition: Swathikiran Sudhakaran,

Sergio Escalera,

Oswald Lanz; [pdf] [supp]
[bibtex]
@InProceedings{Sudhakaran_2019_CVPR,
author = {Sudhakaran, Swathikiran and Escalera, Sergio and Lanz, Oswald},
title = {LSTA: Long Short-Term Attention for Egocentric Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Actor Relation Graphs for Group Activity Recognition: Jianchao Wu,

Limin Wang,

Li Wang,

Jie Guo,

Gangshan Wu; [pdf]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Jianchao and Wang, Limin and Wang, Li and Guo, Jie and Wu, Gangshan},
title = {Learning Actor Relation Graphs for Group Activity Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Structured Model for Action Detection: Yubo Zhang,

Pavel Tokmakov,

Martial Hebert,

Cordelia Schmid; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yubo and Tokmakov, Pavel and Hebert, Martial and Schmid, Cordelia},
title = {A Structured Model for Action Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition: Devraj Mandal,

Sanath Narayan,

Sai Kumar Dwivedi,

Vikram Gupta,

Shuaib Ahmed,

Fahad Shahbaz Khan,

Ling Shao; [pdf]
[bibtex]
@InProceedings{Mandal_2019_CVPR,
author = {Mandal, Devraj and Narayan, Sanath and Dwivedi, Sai Kumar and Gupta, Vikram and Ahmed, Shuaib and Khan, Fahad Shahbaz and Shao, Ling},
title = {Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object Discovery in Videos as Foreground Motion Clustering: Christopher Xie,

Yu Xiang,

Zaid Harchaoui,

Dieter Fox; [pdf] [supp]
[bibtex]
@InProceedings{Xie_2019_CVPR,
author = {Xie, Christopher and Xiang, Yu and Harchaoui, Zaid and Fox, Dieter},
title = {Object Discovery in Videos as Foreground Motion Clustering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Natural and Accurate Future Motion Prediction of Humans and Animals: Zhenguang Liu,

Shuang Wu,

Shuyuan Jin,

Qi Liu,

Shijian Lu,

Roger Zimmermann,

Li Cheng; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Zhenguang and Wu, Shuang and Jin, Shuyuan and Liu, Qi and Lu, Shijian and Zimmermann, Roger and Cheng, Li},
title = {Towards Natural and Accurate Future Motion Prediction of Humans and Animals},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Automatic Face Aging in Videos via Deep Reinforcement Learning: Chi Nhan Duong,

Khoa Luu,

Kha Gia Quach,

Nghia Nguyen,

Eric Patterson,

Tien D. Bui,

Ngan Le; [pdf]
[bibtex]
@InProceedings{Duong_2019_CVPR,
author = {Duong, Chi Nhan and Luu, Khoa and Quach, Kha Gia and Nguyen, Nghia and Patterson, Eric and Bui, Tien D. and Le, Ngan},
title = {Automatic Face Aging in Videos via Deep Reinforcement Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection: Rui Shao,

Xiangyuan Lan,

Jiawei Li,

Pong C. Yuen; [pdf]
[bibtex]
@InProceedings{Shao_2019_CVPR,
author = {Shao, Rui and Lan, Xiangyuan and Li, Jiawei and Yuen, Pong C.},
title = {Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Content Transformation Block for Image Style Transfer: Dmytro Kotovenko,

Artsiom Sanakoyeu,

Pingchuan Ma,

Sabine Lang,

Bjorn Ommer; [pdf] [supp]
[bibtex]
@InProceedings{Kotovenko_2019_CVPR,
author = {Kotovenko, Dmytro and Sanakoyeu, Artsiom and Ma, Pingchuan and Lang, Sabine and Ommer, Bjorn},
title = {A Content Transformation Block for Image Style Transfer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network: Hung-Jen Chen,

Ka-Ming Hui,

Szu-Yu Wang,

Li-Wu Tsao,

Hong-Han Shuai,

Wen-Huang Cheng; [pdf]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Hung-Jen and Hui, Ka-Ming and Wang, Szu-Yu and Tsao, Li-Wu and Shuai, Hong-Han and Cheng, Wen-Huang},
title = {BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Style Transfer by Relaxed Optimal Transport and Self-Similarity: Nicholas Kolkin,

Jason Salavon,

Gregory Shakhnarovich; [pdf] [supp]
[bibtex]
@InProceedings{Kolkin_2019_CVPR,
author = {Kolkin, Nicholas and Salavon, Jason and Shakhnarovich, Gregory},
title = {Style Transfer by Relaxed Optimal Transport and Self-Similarity},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Inserting Videos Into Videos: Donghoon Lee,

Tomas Pfister,

Ming-Hsuan Yang; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2019_CVPR,
author = {Lee, Donghoon and Pfister, Tomas and Yang, Ming-Hsuan},
title = {Inserting Videos Into Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Image and Video Compression Through Spatial-Temporal Energy Compaction: Zhengxue Cheng,

Heming Sun,

Masaru Takeuchi,

Jiro Katto; [pdf]
[bibtex]
@InProceedings{Cheng_2019_CVPR,
author = {Cheng, Zhengxue and Sun, Heming and Takeuchi, Masaru and Katto, Jiro},
title = {Learning Image and Video Compression Through Spatial-Temporal Energy Compaction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks: Lin Wang,

S. Mohammad Mostafavi I.,

Yo-Sung Ho,

Kuk-Jin Yoon; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Lin and , S. Mohammad Mostafavi I. and Ho, Yo-Sung and Yoon, Kuk-Jin},
title = {Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification: Si Wu,

Guangchang Deng,

Jichang Li,

Rui Li,

Zhiwen Yu,

Hau-San Wong; [pdf]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Si and Deng, Guangchang and Li, Jichang and Li, Rui and Yu, Zhiwen and Wong, Hau-San},
title = {Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Capture, Learning, and Synthesis of 3D Speaking Styles: Daniel Cudeiro,

Timo Bolkart,

Cassidy Laidlaw,

Anurag Ranjan,

Michael J. Black; [pdf] [supp]
[bibtex]
@InProceedings{Cudeiro_2019_CVPR,
author = {Cudeiro, Daniel and Bolkart, Timo and Laidlaw, Cassidy and Ranjan, Anurag and Black, Michael J.},
title = {Capture, Learning, and Synthesis of 3D Speaking Styles},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks: Yizhak Ben-Shabat,

Michael Lindenbaum,

Anath Fischer; [pdf] [supp]
[bibtex]
@InProceedings{Ben-Shabat_2019_CVPR,
author = {Ben-Shabat, Yizhak and Lindenbaum, Michael and Fischer, Anath},
title = {Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Ray-Space Projection Model for Light Field Camera: Qi Zhang,

Jinbo Ling,

Qing Wang,

Jingyi Yu; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Qi and Ling, Jinbo and Wang, Qing and Yu, Jingyi},
title = {Ray-Space Projection Model for Light Field Camera},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Geometric Prior for Surface Reconstruction: Francis Williams,

Teseo Schneider,

Claudio Silva,

Denis Zorin,

Joan Bruna,

Daniele Panozzo; [pdf] [supp]
[bibtex]
@InProceedings{Williams_2019_CVPR,
author = {Williams, Francis and Schneider, Teseo and Silva, Claudio and Zorin, Denis and Bruna, Joan and Panozzo, Daniele},
title = {Deep Geometric Prior for Surface Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Analysis of Feature Visibility in Non-Line-Of-Sight Measurements: Xiaochun Liu,

Sebastian Bauer,

Andreas Velten; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Xiaochun and Bauer, Sebastian and Velten, Andreas},
title = {Analysis of Feature Visibility in Non-Line-Of-Sight Measurements},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hyperspectral Imaging With Random Printed Mask: Yuanyuan Zhao,

Hui Guo,

Zhan Ma,

Xun Cao,

Tao Yue,

Xuemei Hu; [pdf]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Yuanyuan and Guo, Hui and Ma, Zhan and Cao, Xun and Yue, Tao and Hu, Xuemei},
title = {Hyperspectral Imaging With Random Printed Mask},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
All-Weather Deep Outdoor Lighting Estimation: Jinsong Zhang,

Kalyan Sunkavalli,

Yannick Hold-Geoffroy,

Sunil Hadap,

Jonathan Eisenman,

Jean-Francois Lalonde; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Jinsong and Sunkavalli, Kalyan and Hold-Geoffroy, Yannick and Hadap, Sunil and Eisenman, Jonathan and Lalonde, Jean-Francois},
title = {All-Weather Deep Outdoor Lighting Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring: Liuge Yang,

Hui Ji; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Liuge and Ji, Hui},
title = {A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Viewport Proposal CNN for 360deg Video Quality Assessment: Chen Li,

Mai Xu,

Lai Jiang,

Shanyi Zhang,

Xiaoming Tao; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Chen and Xu, Mai and Jiang, Lai and Zhang, Shanyi and Tao, Xiaoming},
title = {Viewport Proposal CNN for 360deg Video Quality Assessment},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Beyond Gradient Descent for Regularized Segmentation Losses: Dmitrii Marin,

Meng Tang,

Ismail Ben Ayed,

Yuri Boykov; [pdf]
[bibtex]
@InProceedings{Marin_2019_CVPR,
author = {Marin, Dmitrii and Tang, Meng and Ayed, Ismail Ben and Boykov, Yuri},
title = {Beyond Gradient Descent for Regularized Segmentation Losses},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MAGSAC: Marginalizing Sample Consensus: Daniel Barath,

Jiri Matas,

Jana Noskova; [pdf] [supp]
[bibtex]
@InProceedings{Barath_2019_CVPR,
author = {Barath, Daniel and Matas, Jiri and Noskova, Jana},
title = {MAGSAC: Marginalizing Sample Consensus},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Understanding and Visualizing Deep Visual Saliency Models: Sen He,

Hamed R. Tavakoli,

Ali Borji,

Yang Mi,

Nicolas Pugeault; [pdf]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Sen and Tavakoli, Hamed R. and Borji, Ali and Mi, Yang and Pugeault, Nicolas},
title = {Understanding and Visualizing Deep Visual Saliency Models},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Divergence Prior and Vessel-Tree Reconstruction: Zhongwen Zhang,

Dmitrii Marin,

Egor Chesakov,

Marc Moreno Maza,

Maria Drangova,

Yuri Boykov; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Zhongwen and Marin, Dmitrii and Chesakov, Egor and Maza, Marc Moreno and Drangova, Maria and Boykov, Yuri},
title = {Divergence Prior and Vessel-Tree Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Domain-Specific Deblurring via Disentangled Representations: Boyu Lu,

Jun-Cheng Chen,

Rama Chellappa; [pdf] [supp]
[bibtex]
@InProceedings{Lu_2019_CVPR,
author = {Lu, Boyu and Chen, Jun-Cheng and Chellappa, Rama},
title = {Unsupervised Domain-Specific Deblurring via Disentangled Representations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution: Raied Aljadaany,

Dipan K. Pal,

Marios Savvides; [pdf]
[bibtex]
@InProceedings{Aljadaany_2019_CVPR,
author = {Aljadaany, Raied and Pal, Dipan K. and Savvides, Marios},
title = {Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras: Jacques Manderscheid,

Amos Sironi,

Nicolas Bourdis,

Davide Migliore,

Vincent Lepetit; [pdf] [supp]
[bibtex]
@InProceedings{Manderscheid_2019_CVPR,
author = {Manderscheid, Jacques and Sironi, Amos and Bourdis, Nicolas and Migliore, Davide and Lepetit, Vincent},
title = {Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior: Magauiya Zhussip,

Shakarim Soltanayev,

Se Young Chun; [pdf] [supp]
[bibtex]
@InProceedings{Zhussip_2019_CVPR,
author = {Zhussip, Magauiya and Soltanayev, Shakarim and Chun, Se Young},
title = {Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Variational Pan-Sharpening With Local Gradient Constraints: Xueyang Fu,

Zihuang Lin,

Yue Huang,

Xinghao Ding; [pdf]
[bibtex]
@InProceedings{Fu_2019_CVPR,
author = {Fu, Xueyang and Lin, Zihuang and Huang, Yue and Ding, Xinghao},
title = {A Variational Pan-Sharpening With Local Gradient Constraints},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning: Yongqin Xian,

Saurabh Sharma,

Bernt Schiele,

Zeynep Akata; [pdf]
[bibtex]
@InProceedings{Xian_2019_CVPR,
author = {Xian, Yongqin and Sharma, Saurabh and Schiele, Bernt and Akata, Zeynep},
title = {F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation: Chen-Yu Lee,

Tanmay Batra,

Mohammad Haris Baig,

Daniel Ulbricht; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2019_CVPR,
author = {Lee, Chen-Yu and Batra, Tanmay and Baig, Mohammad Haris and Ulbricht, Daniel},
title = {Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Graph Attention Convolution for Point Cloud Semantic Segmentation: Lei Wang,

Yuchun Huang,

Yaolin Hou,

Shenman Zhang,

Jie Shan; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Lei and Huang, Yuchun and Hou, Yaolin and Zhang, Shenman and Shan, Jie},
title = {Graph Attention Convolution for Point Cloud Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Normalized Diversification: Shaohui Liu,

Xiao Zhang,

Jianqiao Wangni,

Jianbo Shi; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Shaohui and Zhang, Xiao and Wangni, Jianqiao and Shi, Jianbo},
title = {Normalized Diversification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Localize Through Compressed Binary Maps: Xinkai Wei,

Ioan Andrei Barsan,

Shenlong Wang,

Julieta Martinez,

Raquel Urtasun; [pdf] [supp]
[bibtex]
@InProceedings{Wei_2019_CVPR,
author = {Wei, Xinkai and Barsan, Ioan Andrei and Wang, Shenlong and Martinez, Julieta and Urtasun, Raquel},
title = {Learning to Localize Through Compressed Binary Maps},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Parametric Top-View Representation of Complex Road Scenes: Ziyan Wang,

Buyu Liu,

Samuel Schulter,

Manmohan Chandraker; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Ziyan and Liu, Buyu and Schulter, Samuel and Chandraker, Manmohan},
title = {A Parametric Top-View Representation of Complex Road Scenes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction: Dejing Xu,

Jun Xiao,

Zhou Zhao,

Jian Shao,

Di Xie,

Yueting Zhuang; [pdf]
[bibtex]
@InProceedings{Xu_2019_CVPR,
author = {Xu, Dejing and Xiao, Jun and Zhao, Zhou and Shao, Jian and Xie, Di and Zhuang, Yueting},
title = {Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids: Despoina Paschalidou,

Ali Osman Ulusoy,

Andreas Geiger; [pdf] [supp]
[bibtex]
@InProceedings{Paschalidou_2019_CVPR,
author = {Paschalidou, Despoina and Ulusoy, Ali Osman and Geiger, Andreas},
title = {Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network: Xianglei Xing,

Tian Han,

Ruiqi Gao,

Song-Chun Zhu,

Ying Nian Wu; [pdf]
[bibtex]
@InProceedings{Xing_2019_CVPR,
author = {Xing, Xianglei and Han, Tian and Gao, Ruiqi and Zhu, Song-Chun and Wu, Ying Nian},
title = {Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Supervised Representation Learning by Rotation Feature Decoupling: Zeyu Feng,

Chang Xu,

Dacheng Tao; [pdf] [supp]
[bibtex]
@InProceedings{Feng_2019_CVPR,
author = {Feng, Zeyu and Xu, Chang and Tao, Dacheng},
title = {Self-Supervised Representation Learning by Rotation Feature Decoupling},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Weakly Supervised Deep Image Hashing Through Tag Embeddings: Vijetha Gattupalli,

Yaoxin Zhuo,

Baoxin Li; [pdf]
[bibtex]
@InProceedings{Gattupalli_2019_CVPR,
author = {Gattupalli, Vijetha and Zhuo, Yaoxin and Li, Baoxin},
title = {Weakly Supervised Deep Image Hashing Through Tag Embeddings},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Improved Road Connectivity by Joint Learning of Orientation and Segmentation: Anil Batra,

Suriya Singh,

Guan Pang,

Saikat Basu,

C.V. Jawahar,

Manohar Paluri; [pdf]
[bibtex]
@InProceedings{Batra_2019_CVPR,
author = {Batra, Anil and Singh, Suriya and Pang, Guan and Basu, Saikat and Jawahar, C.V. and Paluri, Manohar},
title = {Improved Road Connectivity by Joint Learning of Orientation and Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Supervised Cross-Modal Retrieval: Liangli Zhen,

Peng Hu,

Xu Wang,

Dezhong Peng; [pdf]
[bibtex]
@InProceedings{Zhen_2019_CVPR,
author = {Zhen, Liangli and Hu, Peng and Wang, Xu and Peng, Dezhong},
title = {Deep Supervised Cross-Modal Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning: Thanh-Toan Do,

Toan Tran,

Ian Reid,

Vijay Kumar,

Tuan Hoang,

Gustavo Carneiro; [pdf]
[bibtex]
@InProceedings{Do_2019_CVPR,
author = {Do, Thanh-Toan and Tran, Toan and Reid, Ian and Kumar, Vijay and Hoang, Tuan and Carneiro, Gustavo},
title = {A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Data Representation and Learning With Graph Diffusion-Embedding Networks: Bo Jiang,

Doudou Lin,

Jin Tang,

Bin Luo; [pdf]
[bibtex]
@InProceedings{Jiang_2019_CVPR,
author = {Jiang, Bo and Lin, Doudou and Tang, Jin and Luo, Bin},
title = {Data Representation and Learning With Graph Diffusion-Embedding Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph: Yao-Hung Hubert Tsai,

Santosh Divvala,

Louis-Philippe Morency,

Ruslan Salakhutdinov,

Ali Farhadi; [pdf] [supp]
[bibtex]
@InProceedings{Tsai_2019_CVPR,
author = {Tsai, Yao-Hung Hubert and Divvala, Santosh and Morency, Louis-Philippe and Salakhutdinov, Ruslan and Farhadi, Ali},
title = {Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Image-Question-Answer Synergistic Network for Visual Dialog: Dalu Guo,

Chang Xu,

Dacheng Tao; [pdf] [supp]
[bibtex]
@InProceedings{Guo_2019_CVPR,
author = {Guo, Dalu and Xu, Chang and Tao, Dacheng},
title = {Image-Question-Answer Synergistic Network for Visual Dialog},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses: Jing Shi,

Jia Xu,

Boqing Gong,

Chenliang Xu; [pdf]
[bibtex]
@InProceedings{Shi_2019_CVPR,
author = {Shi, Jing and Xu, Jia and Gong, Boqing and Xu, Chenliang},
title = {Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Inverse Cooking: Recipe Generation From Food Images: Amaia Salvador,

Michal Drozdzal,

Xavier Giro-i-Nieto,

Adriana Romero; [pdf] [supp]
[bibtex]
@InProceedings{Salvador_2019_CVPR,
author = {Salvador, Amaia and Drozdzal, Michal and Giro-i-Nieto, Xavier and Romero, Adriana},
title = {Inverse Cooking: Recipe Generation From Food Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adversarial Semantic Alignment for Improved Image Captions: Pierre Dognin,

Igor Melnyk,

Youssef Mroueh,

Jerret Ross,

Tom Sercu; [pdf] [supp]
[bibtex]
@InProceedings{Dognin_2019_CVPR,
author = {Dognin, Pierre and Melnyk, Igor and Mroueh, Youssef and Ross, Jerret and Sercu, Tom},
title = {Adversarial Semantic Alignment for Improved Image Captions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Answer Them All! Toward Universal Visual Question Answering Models: Robik Shrestha,

Kushal Kafle,

Christopher Kanan; [pdf]
[bibtex]
@InProceedings{Shrestha_2019_CVPR,
author = {Shrestha, Robik and Kafle, Kushal and Kanan, Christopher},
title = {Answer Them All! Toward Universal Visual Question Answering Models},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Multi-Modal Neural Machine Translation: Yuanhang Su,

Kai Fan,

Nguyen Bach,

C.-C. Jay Kuo,

Fei Huang; [pdf]
[bibtex]
@InProceedings{Su_2019_CVPR,
author = {Su, Yuanhang and Fan, Kai and Bach, Nguyen and Kuo, C.-C. Jay and Huang, Fei},
title = {Unsupervised Multi-Modal Neural Machine Translation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Task Learning of Hierarchical Vision-Language Representation: Duy-Kien Nguyen,

Takayuki Okatani; [pdf] [supp]
[bibtex]
@InProceedings{Nguyen_2019_CVPR,
author = {Nguyen, Duy-Kien and Okatani, Takayuki},
title = {Multi-Task Learning of Hierarchical Vision-Language Representation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cross-Modal Self-Attention Network for Referring Image Segmentation: Linwei Ye,

Mrigank Rochan,

Zhi Liu,

Yang Wang; [pdf]
[bibtex]
@InProceedings{Ye_2019_CVPR,
author = {Ye, Linwei and Rochan, Mrigank and Liu, Zhi and Wang, Yang},
title = {Cross-Modal Self-Attention Network for Referring Image Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction: Wei-An Lin,

Haofu Liao,

Cheng Peng,

Xiaohang Sun,

Jingdan Zhang,

Jiebo Luo,

Rama Chellappa,

Shaohua Kevin Zhou; [pdf] [supp]
[bibtex]
@InProceedings{Lin_2019_CVPR,
author = {Lin, Wei-An and Liao, Haofu and Peng, Cheng and Sun, Xiaohang and Zhang, Jingdan and Luo, Jiebo and Chellappa, Rama and Zhou, Shaohua Kevin},
title = {DuDoNet: Dual Domain Network for CT Metal Artifact Reduction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast Spatio-Temporal Residual Network for Video Super-Resolution: Sheng Li,

Fengxiang He,

Bo Du,

Lefei Zhang,

Yonghao Xu,

Dacheng Tao; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Sheng and He, Fengxiang and Du, Bo and Zhang, Lefei and Xu, Yonghao and Tao, Dacheng},
title = {Fast Spatio-Temporal Residual Network for Video Super-Resolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Complete the Look: Scene-Based Complementary Product Recommendation: Wang-Cheng Kang,

Eric Kim,

Jure Leskovec,

Charles Rosenberg,

Julian McAuley; [pdf] [supp]
[bibtex]
@InProceedings{Kang_2019_CVPR,
author = {Kang, Wang-Cheng and Kim, Eric and Leskovec, Jure and Rosenberg, Charles and McAuley, Julian},
title = {Complete the Look: Scene-Based Complementary Product Recommendation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Selective Sensor Fusion for Neural Visual-Inertial Odometry: Changhao Chen,

Stefano Rosa,

Yishu Miao,

Chris Xiaoxuan Lu,

Wei Wu,

Andrew Markham,

Niki Trigoni; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Changhao and Rosa, Stefano and Miao, Yishu and Lu, Chris Xiaoxuan and Wu, Wei and Markham, Andrew and Trigoni, Niki},
title = {Selective Sensor Fusion for Neural Visual-Inertial Odometry},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes: Chengquan Zhang,

Borong Liang,

Zuming Huang,

Mengyi En,

Junyu Han,

Errui Ding,

Xinghao Ding; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Chengquan and Liang, Borong and Huang, Zuming and En, Mengyi and Han, Junyu and Ding, Errui and Ding, Xinghao},
title = {Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Binary Code for Personalized Fashion Recommendation: Zhi Lu,

Yang Hu,

Yunchao Jiang,

Yan Chen,

Bing Zeng; [pdf]
[bibtex]
@InProceedings{Lu_2019_CVPR,
author = {Lu, Zhi and Hu, Yang and Jiang, Yunchao and Chen, Yan and Zeng, Bing},
title = {Learning Binary Code for Personalized Fashion Recommendation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model: Liu Li,

Mai Xu,

Xiaofei Wang,

Lai Jiang,

Hanruo Liu; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Liu and Xu, Mai and Wang, Xiaofei and Jiang, Lai and Liu, Hanruo},
title = {Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery: Ries Uittenbogaard,

Clint Sebastian,

Julien Vijverberg,

Bas Boom,

Dariu M. Gavrila,

Peter H.N. de With; [pdf]
[bibtex]
@InProceedings{Uittenbogaard_2019_CVPR,
author = {Uittenbogaard, Ries and Sebastian, Clint and Vijverberg, Julien and Boom, Bas and Gavrila, Dariu M. and With, Peter H.N. de},
title = {Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Grounding Human-To-Vehicle Advice for Self-Driving Vehicles: Jinkyu Kim,

Teruhisa Misu,

Yi-Ting Chen,

Ashish Tawari,

John Canny; [pdf]
[bibtex]
@InProceedings{Kim_2019_CVPR,
author = {Kim, Jinkyu and Misu, Teruhisa and Chen, Yi-Ting and Tawari, Ashish and Canny, John},
title = {Grounding Human-To-Vehicle Advice for Self-Driving Vehicles},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks: Nima Mohajerin,

Mohsen Rohani; [pdf]
[bibtex]
@InProceedings{Mohajerin_2019_CVPR,
author = {Mohajerin, Nima and Rohani, Mohsen},
title = {Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Connecting Touch and Vision via Cross-Modal Prediction: Yunzhu Li,

Jun-Yan Zhu,

Russ Tedrake,

Antonio Torralba; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yunzhu and Zhu, Jun-Yan and Tedrake, Russ and Torralba, Antonio},
title = {Connecting Touch and Vision via Cross-Modal Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks: Xingde Ying,

Heng Guo,

Kai Ma,

Jian Wu,

Zhengxin Weng,

Yefeng Zheng; [pdf]
[bibtex]
@InProceedings{Ying_2019_CVPR,
author = {Ying, Xingde and Guo, Heng and Ma, Kai and Wu, Jian and Weng, Zhengxin and Zheng, Yefeng},
title = {X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Practical Full Resolution Learned Lossless Image Compression: Fabian Mentzer,

Eirikur Agustsson,

Michael Tschannen,

Radu Timofte,

Luc Van Gool; [pdf] [supp] [video]
[bibtex]
@InProceedings{Mentzer_2019_CVPR,
author = {Mentzer, Fabian and Agustsson, Eirikur and Tschannen, Michael and Timofte, Radu and Gool, Luc Van},
title = {Practical Full Resolution Learned Lossless Image Compression},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation: Wonwoong Cho,

Sungha Choi,

David Keetae Park,

Inkyu Shin,

Jaegul Choo; [pdf] [supp] [video]
[bibtex]
@InProceedings{Cho_2019_CVPR,
author = {Cho, Wonwoong and Choi, Sungha and Park, David Keetae and Shin, Inkyu and Choo, Jaegul},
title = {Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Max-Sliced Wasserstein Distance and Its Use for GANs: Ishan Deshpande,

Yuan-Ting Hu,

Ruoyu Sun,

Ayis Pyrros,

Nasir Siddiqui,

Sanmi Koyejo,

Zhizhen Zhao,

David Forsyth,

Alexander G. Schwing; [pdf] [video]
[bibtex]
@InProceedings{Deshpande_2019_CVPR,
author = {Deshpande, Ishan and Hu, Yuan-Ting and Sun, Ruoyu and Pyrros, Ayis and Siddiqui, Nasir and Koyejo, Sanmi and Zhao, Zhizhen and Forsyth, David and Schwing, Alexander G.},
title = {Max-Sliced Wasserstein Distance and Its Use for GANs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Meta-Learning With Differentiable Convex Optimization: Kwonjoon Lee,

Subhransu Maji,

Avinash Ravichandran,

Stefano Soatto; [pdf] [video]
[bibtex]
@InProceedings{Lee_2019_CVPR,
author = {Lee, Kwonjoon and Maji, Subhransu and Ravichandran, Avinash and Soatto, Stefano},
title = {Meta-Learning With Differentiable Convex Optimization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RePr: Improved Training of Convolutional Filters: Aaditya Prakash,

James Storer,

Dinei Florencio,

Cha Zhang; [pdf] [video]
[bibtex]
@InProceedings{Prakash_2019_CVPR,
author = {Prakash, Aaditya and Storer, James and Florencio, Dinei and Zhang, Cha},
title = {RePr: Improved Training of Convolutional Filters},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Tangent-Normal Adversarial Regularization for Semi-Supervised Learning: Bing Yu,

Jingfeng Wu,

Jinwen Ma,

Zhanxing Zhu; [pdf] [supp] [video]
[bibtex]
@InProceedings{Yu_2019_CVPR,
author = {Yu, Bing and Wu, Jingfeng and Ma, Jinwen and Zhu, Zhanxing},
title = {Tangent-Normal Adversarial Regularization for Semi-Supervised Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Auto-Encoding Scene Graphs for Image Captioning: Xu Yang,

Kaihua Tang,

Hanwang Zhang,

Jianfei Cai; [pdf] [supp] [video]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Xu and Tang, Kaihua and Zhang, Hanwang and Cai, Jianfei},
title = {Auto-Encoding Scene Graphs for Image Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech: Aditya Deshpande,

Jyoti Aneja,

Liwei Wang,

Alexander G. Schwing,

David Forsyth; [pdf] [video]
[bibtex]
@InProceedings{Deshpande_2019_CVPR,
author = {Deshpande, Aditya and Aneja, Jyoti and Wang, Liwei and Schwing, Alexander G. and Forsyth, David},
title = {Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation: Hiroshi Fukui,

Tsubasa Hirakawa,

Takayoshi Yamashita,

Hironobu Fujiyoshi; [pdf] [video]
[bibtex]
@InProceedings{Fukui_2019_CVPR,
author = {Fukui, Hiroshi and Hirakawa, Tsubasa and Yamashita, Takayoshi and Fujiyoshi, Hironobu},
title = {Attention Branch Network: Learning of Attention Mechanism for Visual Explanation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cascaded Projection: End-To-End Network Compression and Acceleration: Breton Minnehan,

Andreas Savakis; [pdf] [video]
[bibtex]
@InProceedings{Minnehan_2019_CVPR,
author = {Minnehan, Breton and Savakis, Andreas},
title = {Cascaded Projection: End-To-End Network Compression and Acceleration},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepCaps: Going Deeper With Capsule Networks: Jathushan Rajasegaran,

Vinoj Jayasundara,

Sandaru Jayasekara,

Hirunima Jayasekara,

Suranga Seneviratne,

Ranga Rodrigo; [pdf] [video]
[bibtex]
@InProceedings{Rajasegaran_2019_CVPR,
author = {Rajasegaran, Jathushan and Jayasundara, Vinoj and Jayasekara, Sandaru and Jayasekara, Hirunima and Seneviratne, Suranga and Rodrigo, Ranga},
title = {DeepCaps: Going Deeper With Capsule Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search: Bichen Wu,

Xiaoliang Dai,

Peizhao Zhang,

Yanghan Wang,

Fei Sun,

Yiming Wu,

Yuandong Tian,

Peter Vajda,

Yangqing Jia,

Kurt Keutzer; [pdf] [supp] [video]
[bibtex]
@InProceedings{Wu_2019_CVPR,
author = {Wu, Bichen and Dai, Xiaoliang and Zhang, Peizhao and Wang, Yanghan and Sun, Fei and Wu, Yiming and Tian, Yuandong and Vajda, Peter and Jia, Yangqing and Keutzer, Kurt},
title = {FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs: Ran Yi,

Yong-Jin Liu,

Yu-Kun Lai,

Paul L. Rosin; [pdf] [supp] [video]
[bibtex]
@InProceedings{Yi_2019_CVPR,
author = {Yi, Ran and Liu, Yong-Jin and Lai, Yu-Kun and Rosin, Paul L.},
title = {APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Constrained Generative Adversarial Networks for Interactive Image Generation: Eric Heim; [pdf] [supp] [video]
[bibtex]
@InProceedings{Heim_2019_CVPR,
author = {Heim, Eric},
title = {Constrained Generative Adversarial Networks for Interactive Image Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
WarpGAN: Automatic Caricature Generation: Yichun Shi,

Debayan Deb,

Anil K. Jain; [pdf] [supp] [video]
[bibtex]
@InProceedings{Shi_2019_CVPR,
author = {Shi, Yichun and Deb, Debayan and Jain, Anil K.},
title = {WarpGAN: Automatic Caricature Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Explainability Methods for Graph Convolutional Neural Networks: Phillip E. Pope,

Soheil Kolouri,

Mohammad Rostami,

Charles E. Martin,

Heiko Hoffmann; [pdf] [supp] [video]
[bibtex]
@InProceedings{Pope_2019_CVPR,
author = {Pope, Phillip E. and Kolouri, Soheil and Rostami, Mohammad and Martin, Charles E. and Hoffmann, Heiko},
title = {Explainability Methods for Graph Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Generative Adversarial Density Estimator: M. Ehsan Abbasnejad,

Qinfeng Shi,

Anton van den Hengel,

Lingqiao Liu; [pdf] [video]
[bibtex]
@InProceedings{Abbasnejad_2019_CVPR,
author = {Abbasnejad, M. Ehsan and Shi, Qinfeng and Hengel, Anton van den and Liu, Lingqiao},
title = {A Generative Adversarial Density Estimator},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates: Martin Engilberge,

Louis Chevallier,

Patrick Perez,

Matthieu Cord; [pdf] [video]
[bibtex]
@InProceedings{Engilberge_2019_CVPR,
author = {Engilberge, Martin and Chevallier, Louis and Perez, Patrick and Cord, Matthieu},
title = {SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
High-Quality Face Capture Using Anatomical Muscles: Michael Bao,

Matthew Cong,

Stephane Grabli,

Ronald Fedkiw; [pdf] [supp] [video]
[bibtex]
@InProceedings{Bao_2019_CVPR,
author = {Bao, Michael and Cong, Matthew and Grabli, Stephane and Fedkiw, Ronald},
title = {High-Quality Face Capture Using Anatomical Muscles},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FML: Face Model Learning From Videos: Ayush Tewari,

Florian Bernard,

Pablo Garrido,

Gaurav Bharaj,

Mohamed Elgharib,

Hans-Peter Seidel,

Patrick Perez,

Michael Zollhofer,

Christian Theobalt; [pdf] [supp] [video]
[bibtex]
@InProceedings{Tewari_2019_CVPR,
author = {Tewari, Ayush and Bernard, Florian and Garrido, Pablo and Bharaj, Gaurav and Elgharib, Mohamed and Seidel, Hans-Peter and Perez, Patrick and Zollhofer, Michael and Theobalt, Christian},
title = {FML: Face Model Learning From Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations: Xiao Zhang,

Rui Zhao,

Yu Qiao,

Xiaogang Wang,

Hongsheng Li; [pdf] [video]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Xiao and Zhao, Rui and Qiao, Yu and Wang, Xiaogang and Li, Hongsheng},
title = {AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D Hand Shape and Pose Estimation From a Single RGB Image: Liuhao Ge,

Zhou Ren,

Yuncheng Li,

Zehao Xue,

Yingying Wang,

Jianfei Cai,

Junsong Yuan; [pdf] [supp] [video]
[bibtex]
@InProceedings{Ge_2019_CVPR,
author = {Ge, Liuhao and Ren, Zhou and Li, Yuncheng and Xue, Zehao and Wang, Yingying and Cai, Jianfei and Yuan, Junsong},
title = {3D Hand Shape and Pose Estimation From a Single RGB Image},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D Hand Shape and Pose From Images in the Wild: Adnane Boukhayma,

Rodrigo de Bem,

Philip H.S. Torr; [pdf] [video]
[bibtex]
@InProceedings{Boukhayma_2019_CVPR,
author = {Boukhayma, Adnane and Bem, Rodrigo de and Torr, Philip H.S.},
title = {3D Hand Shape and Pose From Images in the Wild},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Supervised 3D Hand Pose Estimation Through Training by Fitting: Chengde Wan,

Thomas Probst,

Luc Van Gool,

Angela Yao; [pdf]
[bibtex]
@InProceedings{Wan_2019_CVPR,
author = {Wan, Chengde and Probst, Thomas and Gool, Luc Van and Yao, Angela},
title = {Self-Supervised 3D Hand Pose Estimation Through Training by Fitting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark: Jiefeng Li,

Can Wang,

Hao Zhu,

Yihuan Mao,

Hao-Shu Fang,

Cewu Lu; [pdf] [video]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Jiefeng and Wang, Can and Zhu, Hao and Mao, Yihuan and Fang, Hao-Shu and Lu, Cewu},
title = {CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction: Hanbyul Joo,

Tomas Simon,

Mina Cikara,

Yaser Sheikh; [pdf] [supp] [video]
[bibtex]
@InProceedings{Joo_2019_CVPR,
author = {Joo, Hanbyul and Simon, Tomas and Cikara, Mina and Sheikh, Yaser},
title = {Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
HoloPose: Holistic 3D Human Reconstruction In-The-Wild: Riza Alp Guler,

Iasonas Kokkinos; [pdf] [video]
[bibtex]
@InProceedings{Guler_2019_CVPR,
author = {Guler, Riza Alp and Kokkinos, Iasonas},
title = {HoloPose: Holistic 3D Human Reconstruction In-The-Wild},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation: Xipeng Chen,

Kwan-Yee Lin,

Wentao Liu,

Chen Qian,

Liang Lin; [pdf] [supp] [video]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Xipeng and Lin, Kwan-Yee and Liu, Wentao and Qian, Chen and Lin, Liang},
title = {Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations: Ikhsanul Habibie,

Weipeng Xu,

Dushyant Mehta,

Gerard Pons-Moll,

Christian Theobalt; [pdf] [supp] [video]
[bibtex]
@InProceedings{Habibie_2019_CVPR,
author = {Habibie, Ikhsanul and Xu, Weipeng and Mehta, Dushyant and Pons-Moll, Gerard and Theobalt, Christian},
title = {In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues: Natalia Neverova,

James Thewlis,

Riza Alp Guler,

Iasonas Kokkinos,

Andrea Vedaldi; [pdf] [video]
[bibtex]
@InProceedings{Neverova_2019_CVPR,
author = {Neverova, Natalia and Thewlis, James and Guler, Riza Alp and Kokkinos, Iasonas and Vedaldi, Andrea},
title = {Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Supervised Representation Learning From Videos for Facial Action Unit Detection: Yong Li,

Jiabei Zeng,

Shiguang Shan,

Xilin Chen; [pdf] [supp] [video]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yong and Zeng, Jiabei and Shan, Shiguang and Chen, Xilin},
title = {Self-Supervised Representation Learning From Videos for Facial Action Unit Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Combining 3D Morphable Models: A Large Scale Face-And-Head Model: Stylianos Ploumpis,

Haoyang Wang,

Nick Pears,

William A. P. Smith,

Stefanos Zafeiriou; [pdf] [video]
[bibtex]
@InProceedings{Ploumpis_2019_CVPR,
author = {Ploumpis, Stylianos and Wang, Haoyang and Pears, Nick and Smith, William A. P. and Zafeiriou, Stefanos},
title = {Combining 3D Morphable Models: A Large Scale Face-And-Head Model},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Boosting Local Shape Matching for Dense 3D Face Correspondence: Zhenfeng Fan,

Xiyuan Hu,

Chen Chen,

Silong Peng; [pdf] [video]
[bibtex]
@InProceedings{Fan_2019_CVPR,
author = {Fan, Zhenfeng and Hu, Xiyuan and Chen, Chen and Peng, Silong},
title = {Boosting Local Shape Matching for Dense 3D Face Correspondence},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Part-Based Disentangling of Object Shape and Appearance: Dominik Lorenz,

Leonard Bereska,

Timo Milbich,

Bjorn Ommer; [pdf] [supp] [video]
[bibtex]
@InProceedings{Lorenz_2019_CVPR,
author = {Lorenz, Dominik and Bereska, Leonard and Milbich, Timo and Ommer, Bjorn},
title = {Unsupervised Part-Based Disentangling of Object Shape and Appearance},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Monocular Total Capture: Posing Face, Body, and Hands in the Wild: Donglai Xiang,

Hanbyul Joo,

Yaser Sheikh; [pdf] [supp] [video]
[bibtex]
@InProceedings{Xiang_2019_CVPR,
author = {Xiang, Donglai and Joo, Hanbyul and Sheikh, Yaser},
title = {Monocular Total Capture: Posing Face, Body, and Hands in the Wild},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Expressive Body Capture: 3D Hands, Face, and Body From a Single Image: Georgios Pavlakos,

Vasileios Choutas,

Nima Ghorbani,

Timo Bolkart,

Ahmed A. A. Osman,

Dimitrios Tzionas,

Michael J. Black; [pdf] [supp] [video]
[bibtex]
@InProceedings{Pavlakos_2019_CVPR,
author = {Pavlakos, Georgios and Choutas, Vasileios and Ghorbani, Nima and Bolkart, Timo and Osman, Ahmed A. A. and Tzionas, Dimitrios and Black, Michael J.},
title = {Expressive Body Capture: 3D Hands, Face, and Body From a Single Image},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera: Chao Liu,

Jinwei Gu,

Kihwan Kim,

Srinivasa G. Narasimhan,

Jan Kautz; [pdf] [supp] [video]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Chao and Gu, Jinwei and Kim, Kihwan and Narasimhan, Srinivasa G. and Kautz, Jan},
title = {Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DAVANet: Stereo Deblurring With View Aggregation: Shangchen Zhou,

Jiawei Zhang,

Wangmeng Zuo,

Haozhe Xie,

Jinshan Pan,

Jimmy S. Ren; [pdf] [video]
[bibtex]
@InProceedings{Zhou_2019_CVPR,
author = {Zhou, Shangchen and Zhang, Jiawei and Zuo, Wangmeng and Xie, Haozhe and Pan, Jinshan and Ren, Jimmy S.},
title = {DAVANet: Stereo Deblurring With View Aggregation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DVC: An End-To-End Deep Video Compression Framework: Guo Lu,

Wanli Ouyang,

Dong Xu,

Xiaoyun Zhang,

Chunlei Cai,

Zhiyong Gao; [pdf] [supp] [video]
[bibtex]
@InProceedings{Lu_2019_CVPR,
author = {Lu, Guo and Ouyang, Wanli and Xu, Dong and Zhang, Xiaoyun and Cai, Chunlei and Gao, Zhiyong},
title = {DVC: An End-To-End Deep Video Compression Framework},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SOSNet: Second Order Similarity Regularization for Local Descriptor Learning: Yurun Tian,

Xin Yu,

Bin Fan,

Fuchao Wu,

Huub Heijnen,

Vassileios Balntas; [pdf] [video]
[bibtex]
@InProceedings{Tian_2019_CVPR,
author = {Tian, Yurun and Yu, Xin and Fan, Bin and Wu, Fuchao and Heijnen, Huub and Balntas, Vassileios},
title = {SOSNet: Second Order Similarity Regularization for Local Descriptor Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors: Yosef Gandelsman,

Assaf Shocher,

Michal Irani; [pdf] [video]
[bibtex]
@InProceedings{Gandelsman_2019_CVPR,
author = {Gandelsman, Yosef and Shocher, Assaf and Irani, Michal},
title = {"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unprocessing Images for Learned Raw Denoising: Tim Brooks,

Ben Mildenhall,

Tianfan Xue,

Jiawen Chen,

Dillon Sharlet,

Jonathan T. Barron; [pdf] [video]
[bibtex]
@InProceedings{Brooks_2019_CVPR,
author = {Brooks, Tim and Mildenhall, Ben and Xue, Tianfan and Chen, Jiawen and Sharlet, Dillon and Barron, Jonathan T.},
title = {Unprocessing Images for Learned Raw Denoising},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Residual Networks for Light Field Image Super-Resolution: Shuo Zhang,

Youfang Lin,

Hao Sheng; [pdf] [video]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Shuo and Lin, Youfang and Sheng, Hao},
title = {Residual Networks for Light Field Image Super-Resolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers: Jingwen He,

Chao Dong,

Yu Qiao; [pdf] [supp] [video]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Jingwen and Dong, Chao and Qiao, Yu},
title = {Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Second-Order Attention Network for Single Image Super-Resolution: Tao Dai,

Jianrui Cai,

Yongbing Zhang,

Shu-Tao Xia,

Lei Zhang; [pdf] [supp] [video]
[bibtex]
@InProceedings{Dai_2019_CVPR,
author = {Dai, Tao and Cai, Jianrui and Zhang, Yongbing and Xia, Shu-Tao and Zhang, Lei},
title = {Second-Order Attention Network for Single Image Super-Resolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations: David Acuna,

Amlan Kar,

Sanja Fidler; [pdf] [supp] [video]
[bibtex]
@InProceedings{Acuna_2019_CVPR,
author = {Acuna, David and Kar, Amlan and Fidler, Sanja},
title = {Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Path-Invariant Map Networks: Zaiwei Zhang,

Zhenxiao Liang,

Lemeng Wu,

Xiaowei Zhou,

Qixing Huang; [pdf] [supp] [video]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Zaiwei and Liang, Zhenxiao and Wu, Lemeng and Zhou, Xiaowei and Huang, Qixing},
title = {Path-Invariant Map Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization: Wei Gao,

Russ Tedrake; [pdf] [supp] [video]
[bibtex]
@InProceedings{Gao_2019_CVPR,
author = {Gao, Wei and Tedrake, Russ},
title = {FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope: Tolga Birdal,

Umut Simsekli; [pdf] [supp] [video]
[bibtex]
@InProceedings{Birdal_2019_CVPR,
author = {Birdal, Tolga and Simsekli, Umut},
title = {Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus: Thomas Mollenhoff,

Daniel Cremers; [pdf] [video]
[bibtex]
@InProceedings{Mollenhoff_2019_CVPR,
author = {Mollenhoff, Thomas and Cremers, Daniel},
title = {Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Sufficient Condition for Convergences of Adam and RMSProp: Fangyu Zou,

Li Shen,

Zequn Jie,

Weizhong Zhang,

Wei Liu; [pdf] [supp] [video]
[bibtex]
@InProceedings{Zou_2019_CVPR,
author = {Zou, Fangyu and Shen, Li and Jie, Zequn and Zhang, Weizhong and Liu, Wei},
title = {A Sufficient Condition for Convergences of Adam and RMSProp},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Guaranteed Matrix Completion Under Multiple Linear Transformations: Chao Li,

Wei He,

Longhao Yuan,

Zhun Sun,

Qibin Zhao; [pdf] [supp] [video]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Chao and He, Wei and Yuan, Longhao and Sun, Zhun and Zhao, Qibin},
title = {Guaranteed Matrix Completion Under Multiple Linear Transformations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm: Paul Swoboda,

Vladimir Kolmogorov; [pdf] [supp] [video]
[bibtex]
@InProceedings{Swoboda_2019_CVPR,
author = {Swoboda, Paul and Kolmogorov, Vladimir},
title = {MAP Inference via Block-Coordinate Frank-Wolfe Algorithm},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Convex Relaxation for Multi-Graph Matching: Paul Swoboda,

Dagmar Kainm"uller,

Ashkan Mokarian,

Christian Theobalt,

Florian Bernard; [pdf] [supp] [video]
[bibtex]
@InProceedings{Swoboda_2019_CVPR,
author = {Swoboda, Paul and Kainm"uller, Dagmar and Mokarian, Ashkan and Theobalt, Christian and Bernard, Florian},
title = {A Convex Relaxation for Multi-Graph Matching},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pixel-Adaptive Convolutional Neural Networks: Hang Su,

Varun Jampani,

Deqing Sun,

Orazio Gallo,

Erik Learned-Miller,

Jan Kautz; [pdf] [supp]
[bibtex]
@InProceedings{Su_2019_CVPR,
author = {Su, Hang and Jampani, Varun and Sun, Deqing and Gallo, Orazio and Learned-Miller, Erik and Kautz, Jan},
title = {Pixel-Adaptive Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Single-Frame Regularization for Temporally Stable CNNs: Gabriel Eilertsen,

Rafal K. Mantiuk,

Jonas Unger; [pdf] [supp]
[bibtex]
@InProceedings{Eilertsen_2019_CVPR,
author = {Eilertsen, Gabriel and Mantiuk, Rafal K. and Unger, Jonas},
title = {Single-Frame Regularization for Temporally Stable CNNs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
An End-To-End Network for Generating Social Relationship Graphs: Arushi Goel,

Keng Teck Ma,

Cheston Tan; [pdf]
[bibtex]
@InProceedings{Goel_2019_CVPR,
author = {Goel, Arushi and Ma, Keng Teck and Tan, Cheston},
title = {An End-To-End Network for Generating Social Relationship Graphs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset: Martin Mundt,

Sagnik Majumder,

Sreenivas Murali,

Panagiotis Panetsos,

Visvanathan Ramesh; [pdf] [supp]
[bibtex]
@InProceedings{Mundt_2019_CVPR,
author = {Mundt, Martin and Majumder, Sagnik and Murali, Sreenivas and Panetsos, Panagiotis and Ramesh, Visvanathan},
title = {Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model: Haichuan Yang,

Yuhao Zhu,

Ji Liu; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2019_CVPR,
author = {Yang, Haichuan and Zhu, Yuhao and Liu, Ji},
title = {ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization: Shijie Cao,

Lingxiao Ma,

Wencong Xiao,

Chen Zhang,

Yunxin Liu,

Lintao Zhang,

Lanshun Nie,

Zhi Yang; [pdf]
[bibtex]
@InProceedings{Cao_2019_CVPR,
author = {Cao, Shijie and Ma, Lingxiao and Xiao, Wencong and Zhang, Chen and Liu, Yunxin and Zhang, Lintao and Nie, Lanshun and Yang, Zhi},
title = {SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Defending Against Adversarial Attacks by Randomized Diversification: Olga Taran,

Shideh Rezaeifar,

Taras Holotyak,

Slava Voloshynovskiy; [pdf]
[bibtex]
@InProceedings{Taran_2019_CVPR,
author = {Taran, Olga and Rezaeifar, Shideh and Holotyak, Taras and Voloshynovskiy, Slava},
title = {Defending Against Adversarial Attacks by Randomized Diversification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Rob-GAN: Generator, Discriminator, and Adversarial Attacker: Xuanqing Liu,

Cho-Jui Hsieh; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Xuanqing and Hsieh, Cho-Jui},
title = {Rob-GAN: Generator, Discriminator, and Adversarial Attacker},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion: Ryutaro Tanno,

Ardavan Saeedi,

Swami Sankaranarayanan,

Daniel C. Alexander,

Nathan Silberman; [pdf] [supp]
[bibtex]
@InProceedings{Tanno_2019_CVPR,
author = {Tanno, Ryutaro and Saeedi, Ardavan and Sankaranarayanan, Swami and Alexander, Daniel C. and Silberman, Nathan},
title = {Learning From Noisy Labels by Regularized Estimation of Annotator Confusion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Task-Free Continual Learning: Rahaf Aljundi,

Klaas Kelchtermans,

Tinne Tuytelaars; [pdf] [supp]
[bibtex]
@InProceedings{Aljundi_2019_CVPR,
author = {Aljundi, Rahaf and Kelchtermans, Klaas and Tuytelaars, Tinne},
title = {Task-Free Continual Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Importance Estimation for Neural Network Pruning: Pavlo Molchanov,

Arun Mallya,

Stephen Tyree,

Iuri Frosio,

Jan Kautz; [pdf] [supp]
[bibtex]
@InProceedings{Molchanov_2019_CVPR,
author = {Molchanov, Pavlo and Mallya, Arun and Tyree, Stephen and Frosio, Iuri and Kautz, Jan},
title = {Importance Estimation for Neural Network Pruning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Detecting Overfitting of Deep Generative Networks via Latent Recovery: Ryan Webster,

Julien Rabin,

Loic Simon,

Frederic Jurie; [pdf] [supp]
[bibtex]
@InProceedings{Webster_2019_CVPR,
author = {Webster, Ryan and Rabin, Julien and Simon, Loic and Jurie, Frederic},
title = {Detecting Overfitting of Deep Generative Networks via Latent Recovery},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks: Seungjoo Yoo,

Hyojin Bahng,

Sunghyo Chung,

Junsoo Lee,

Jaehyuk Chang,

Jaegul Choo; [pdf] [supp]
[bibtex]
@InProceedings{Yoo_2019_CVPR,
author = {Yoo, Seungjoo and Bahng, Hyojin and Chung, Sunghyo and Lee, Junsoo and Chang, Jaehyuk and Choo, Jaegul},
title = {Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Characterizing and Avoiding Negative Transfer: Zirui Wang,

Zihang Dai,

Barnabas Poczos,

Jaime Carbonell; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Zirui and Dai, Zihang and Poczos, Barnabas and Carbonell, Jaime},
title = {Characterizing and Avoiding Negative Transfer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Building Efficient Deep Neural Networks With Unitary Group Convolutions: Ritchie Zhao,

Yuwei Hu,

Jordan Dotzel,

Christopher De Sa,

Zhiru Zhang; [pdf]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Ritchie and Hu, Yuwei and Dotzel, Jordan and Sa, Christopher De and Zhang, Zhiru},
title = {Building Efficient Deep Neural Networks With Unitary Group Convolutions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semi-Supervised Learning With Graph Learning-Convolutional Networks: Bo Jiang,

Ziyan Zhang,

Doudou Lin,

Jin Tang,

Bin Luo; [pdf]
[bibtex]
@InProceedings{Jiang_2019_CVPR,
author = {Jiang, Bo and Zhang, Ziyan and Lin, Doudou and Tang, Jin and Luo, Bin},
title = {Semi-Supervised Learning With Graph Learning-Convolutional Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning: Oleksiy Ostapenko,

Mihai Puscas,

Tassilo Klein,

Patrick Jahnichen,

Moin Nabi; [pdf]
[bibtex]
@InProceedings{Ostapenko_2019_CVPR,
author = {Ostapenko, Oleksiy and Puscas, Mihai and Klein, Tassilo and Jahnichen, Patrick and Nabi, Moin},
title = {Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AIRD: Adversarial Learning Framework for Image Repurposing Detection: Ayush Jaiswal,

Yue Wu,

Wael AbdAlmageed,

Iacopo Masi,

Premkumar Natarajan; [pdf]
[bibtex]
@InProceedings{Jaiswal_2019_CVPR,
author = {Jaiswal, Ayush and Wu, Yue and AbdAlmageed, Wael and Masi, Iacopo and Natarajan, Premkumar},
title = {AIRD: Adversarial Learning Framework for Image Repurposing Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations: Saeid Asgari Taghanaki,

Kumar Abhishek,

Shekoofeh Azizi,

Ghassan Hamarneh; [pdf]
[bibtex]
@InProceedings{Taghanaki_2019_CVPR,
author = {Taghanaki, Saeid Asgari and Abhishek, Kumar and Azizi, Shekoofeh and Hamarneh, Ghassan},
title = {A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Trust Region Based Adversarial Attack on Neural Networks: Zhewei Yao,

Amir Gholami,

Peng Xu,

Kurt Keutzer,

Michael W. Mahoney; [pdf]
[bibtex]
@InProceedings{Yao_2019_CVPR,
author = {Yao, Zhewei and Gholami, Amir and Xu, Peng and Keutzer, Kurt and Mahoney, Michael W.},
title = {Trust Region Based Adversarial Attack on Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PEPSI : Fast Image Inpainting With Parallel Decoding Network: Min-cheol Sagong,

Yong-goo Shin,

Seung-wook Kim,

Seung Park,

Sung-jea Ko; [pdf]
[bibtex]
@InProceedings{Sagong_2019_CVPR,
author = {Sagong, Min-cheol and Shin, Yong-goo and Kim, Seung-wook and Park, Seung and Ko, Sung-jea},
title = {PEPSI : Fast Image Inpainting With Parallel Decoding Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Model-Blind Video Denoising via Frame-To-Frame Training: Thibaud Ehret,

Axel Davy,

Jean-Michel Morel,

Gabriele Facciolo,

Pablo Arias; [pdf] [supp]
[bibtex]
@InProceedings{Ehret_2019_CVPR,
author = {Ehret, Thibaud and Davy, Axel and Morel, Jean-Michel and Facciolo, Gabriele and Arias, Pablo},
title = {Model-Blind Video Denoising via Frame-To-Frame Training},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization: Yeonwoo Jeong,

Yoonsung Kim,

Hyun Oh Song; [pdf] [supp]
[bibtex]
@InProceedings{Jeong_2019_CVPR,
author = {Jeong, Yeonwoo and Kim, Yoonsung and Song, Hyun Oh},
title = {End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation: Fengda Zhu,

Linchao Zhu,

Yi Yang; [pdf]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Fengda and Zhu, Linchao and Yang, Yi},
title = {Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation: Xiaoliang Dai,

Peizhao Zhang,

Bichen Wu,

Hongxu Yin,

Fei Sun,

Yanghan Wang,

Marat Dukhan,

Yunqing Hu,

Yiming Wu,

Yangqing Jia,

Peter Vajda,

Matt Uyttendaele,

Niraj K. Jha; [pdf]
[bibtex]
@InProceedings{Dai_2019_CVPR,
author = {Dai, Xiaoliang and Zhang, Peizhao and Wu, Bichen and Yin, Hongxu and Sun, Fei and Wang, Yanghan and Dukhan, Marat and Hu, Yunqing and Wu, Yiming and Jia, Yangqing and Vajda, Peter and Uyttendaele, Matt and Jha, Niraj K.},
title = {ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Regularizing Activation Distribution for Training Binarized Deep Networks: Ruizhou Ding,

Ting-Wu Chin,

Zeye Liu,

Diana Marculescu; [pdf] [supp]
[bibtex]
@InProceedings{Ding_2019_CVPR,
author = {Ding, Ruizhou and Chin, Ting-Wu and Liu, Zeye and Marculescu, Diana},
title = {Regularizing Activation Distribution for Training Binarized Deep Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Robustness Verification of Classification Deep Neural Networks via Linear Programming: Wang Lin,

Zhengfeng Yang,

Xin Chen,

Qingye Zhao,

Xiangkun Li,

Zhiming Liu,

Jifeng He; [pdf]
[bibtex]
@InProceedings{Lin_2019_CVPR,
author = {Lin, Wang and Yang, Zhengfeng and Chen, Xin and Zhao, Qingye and Li, Xiangkun and Liu, Zhiming and He, Jifeng},
title = {Robustness Verification of Classification Deep Neural Networks via Linear Programming},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Additive Adversarial Learning for Unbiased Authentication: Jian Liang,

Yuren Cao,

Chenbin Zhang,

Shiyu Chang,

Kun Bai,

Zenglin Xu; [pdf] [supp]
[bibtex]
@InProceedings{Liang_2019_CVPR,
author = {Liang, Jian and Cao, Yuren and Zhang, Chenbin and Chang, Shiyu and Bai, Kun and Xu, Zenglin},
title = {Additive Adversarial Learning for Unbiased Authentication},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation: Zhezhi He,

Deliang Fan; [pdf]
[bibtex]
@InProceedings{He_2019_CVPR,
author = {He, Zhezhi and Fan, Deliang},
title = {Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adversarial Defense by Stratified Convolutional Sparse Coding: Bo Sun,

Nian-Hsuan Tsai,

Fangchen Liu,

Ronald Yu,

Hao Su; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2019_CVPR,
author = {Sun, Bo and Tsai, Nian-Hsuan and Liu, Fangchen and Yu, Ronald and Su, Hao},
title = {Adversarial Defense by Stratified Convolutional Sparse Coding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Exploring Object Relation in Mean Teacher for Cross-Domain Detection: Qi Cai,

Yingwei Pan,

Chong-Wah Ngo,

Xinmei Tian,

Lingyu Duan,

Ting Yao; [pdf]
[bibtex]
@InProceedings{Cai_2019_CVPR,
author = {Cai, Qi and Pan, Yingwei and Ngo, Chong-Wah and Tian, Xinmei and Duan, Lingyu and Yao, Ting},
title = {Exploring Object Relation in Mean Teacher for Cross-Domain Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning: Bin Tong,

Chao Wang,

Martin Klinkigt,

Yoshiyuki Kobayashi,

Yuuichi Nonaka; [pdf]
[bibtex]
@InProceedings{Tong_2019_CVPR,
author = {Tong, Bin and Wang, Chao and Klinkigt, Martin and Kobayashi, Yoshiyuki and Nonaka, Yuuichi},
title = {Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network: Bin Zhu,

Chong-Wah Ngo,

Jingjing Chen,

Yanbin Hao; [pdf]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Bin and Ngo, Chong-Wah and Chen, Jingjing and Hao, Yanbin},
title = {R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Rethinking Knowledge Graph Propagation for Zero-Shot Learning: Michael Kampffmeyer,

Yinbo Chen,

Xiaodan Liang,

Hao Wang,

Yujia Zhang,

Eric P. Xing; [pdf] [supp]
[bibtex]
@InProceedings{Kampffmeyer_2019_CVPR,
author = {Kampffmeyer, Michael and Chen, Yinbo and Liang, Xiaodan and Wang, Hao and Zhang, Yujia and Xing, Eric P.},
title = {Rethinking Knowledge Graph Propagation for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Learn Image Classifiers With Visual Analogy: Linjun Zhou,

Peng Cui,

Shiqiang Yang,

Wenwu Zhu,

Qi Tian; [pdf]
[bibtex]
@InProceedings{Zhou_2019_CVPR,
author = {Zhou, Linjun and Cui, Peng and Yang, Shiqiang and Zhu, Wenwu and Tian, Qi},
title = {Learning to Learn Image Classifiers With Visual Analogy},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection: Philippe Burlina,

Neil Joshi,

I-Jeng Wang; [pdf]
[bibtex]
@InProceedings{Burlina_2019_CVPR,
author = {Burlina, Philippe and Joshi, Neil and Wang, I-Jeng},
title = {Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Weakly Supervised Image Classification Through Noise Regularization: Mengying Hu,

Hu Han,

Shiguang Shan,

Xilin Chen; [pdf]
[bibtex]
@InProceedings{Hu_2019_CVPR,
author = {Hu, Mengying and Han, Hu and Shan, Shiguang and Chen, Xilin},
title = {Weakly Supervised Image Classification Through Noise Regularization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Data-Driven Neuron Allocation for Scale Aggregation Networks: Yi Li,

Zhanghui Kuang,

Yimin Chen,

Wayne Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yi and Kuang, Zhanghui and Chen, Yimin and Zhang, Wayne},
title = {Data-Driven Neuron Allocation for Scale Aggregation Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Graphical Contrastive Losses for Scene Graph Parsing: Ji Zhang,

Kevin J. Shih,

Ahmed Elgammal,

Andrew Tao,

Bryan Catanzaro; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Ji and Shih, Kevin J. and Elgammal, Ahmed and Tao, Andrew and Catanzaro, Bryan},
title = {Graphical Contrastive Losses for Scene Graph Parsing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Transfer Learning for Multiple Class Novelty Detection: Pramuditha Perera,

Vishal M. Patel; [pdf]
[bibtex]
@InProceedings{Perera_2019_CVPR,
author = {Perera, Pramuditha and Patel, Vishal M.},
title = {Deep Transfer Learning for Multiple Class Novelty Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
QATM: Quality-Aware Template Matching for Deep Learning: Jiaxin Cheng,

Yue Wu,

Wael AbdAlmageed,

Premkumar Natarajan; [pdf]
[bibtex]
@InProceedings{Cheng_2019_CVPR,
author = {Cheng, Jiaxin and Wu, Yue and AbdAlmageed, Wael and Natarajan, Premkumar},
title = {QATM: Quality-Aware Template Matching for Deep Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples: Jake Zhao (Junbo),

Kyunghyun Cho; [pdf]
[bibtex]
@InProceedings{(Junbo)_2019_CVPR,
author = {(Junbo), Jake Zhao and Cho, Kyunghyun},
title = {Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images: Hao Wang,

Doyen Sahoo,

Chenghao Liu,

Ee-peng Lim,

Steven C. H. Hoi; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Hao and Sahoo, Doyen and Liu, Chenghao and Lim, Ee-peng and Hoi, Steven C. H.},
title = {Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network: Jonah Philion; [pdf]
[bibtex]
@InProceedings{Philion_2019_CVPR,
author = {Philion, Jonah},
title = {FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Weakly Supervised Video Moment Retrieval From Text Queries: Niluthpol Chowdhury Mithun,

Sujoy Paul,

Amit K. Roy-Chowdhury; [pdf]
[bibtex]
@InProceedings{Mithun_2019_CVPR,
author = {Mithun, Niluthpol Chowdhury and Paul, Sujoy and Roy-Chowdhury, Amit K.},
title = {Weakly Supervised Video Moment Retrieval From Text Queries},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Content-Aware Multi-Level Guidance for Interactive Instance Segmentation: Soumajit Majumder,

Angela Yao; [pdf] [supp]
[bibtex]
@InProceedings{Majumder_2019_CVPR,
author = {Majumder, Soumajit and Yao, Angela},
title = {Content-Aware Multi-Level Guidance for Interactive Instance Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Greedy Structure Learning of Hierarchical Compositional Models: Adam Kortylewski,

Aleksander Wieczorek,

Mario Wieser,

Clemens Blumer,

Sonali Parbhoo,

Andreas Morel-Forster,

Volker Roth,

Thomas Vetter; [pdf]
[bibtex]
@InProceedings{Kortylewski_2019_CVPR,
author = {Kortylewski, Adam and Wieczorek, Aleksander and Wieser, Mario and Blumer, Clemens and Parbhoo, Sonali and Morel-Forster, Andreas and Roth, Volker and Vetter, Thomas},
title = {Greedy Structure Learning of Hierarchical Compositional Models},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Interactive Full Image Segmentation by Considering All Regions Jointly: Eirikur Agustsson,

Jasper R. R. Uijlings,

Vittorio Ferrari; [pdf]
[bibtex]
@InProceedings{Agustsson_2019_CVPR,
author = {Agustsson, Eirikur and Uijlings, Jasper R. R. and Ferrari, Vittorio},
title = {Interactive Full Image Segmentation by Considering All Regions Jointly},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Active Contour Models for Medical Image Segmentation: Xu Chen,

Bryan M. Williams,

Srinivasa R. Vallabhaneni,

Gabriela Czanner,

Rachel Williams,

Yalin Zheng; [pdf]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Xu and Williams, Bryan M. and Vallabhaneni, Srinivasa R. and Czanner, Gabriela and Williams, Rachel and Zheng, Yalin},
title = {Learning Active Contour Models for Medical Image Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Customizable Architecture Search for Semantic Segmentation: Yiheng Zhang,

Zhaofan Qiu,

Jingen Liu,

Ting Yao,

Dong Liu,

Tao Mei; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yiheng and Qiu, Zhaofan and Liu, Jingen and Yao, Ting and Liu, Dong and Mei, Tao},
title = {Customizable Architecture Search for Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Local Features and Visual Words Emerge in Activations: Oriane Simeoni,

Yannis Avrithis,

Ondrej Chum; [pdf]
[bibtex]
@InProceedings{Simeoni_2019_CVPR,
author = {Simeoni, Oriane and Avrithis, Yannis and Chum, Ondrej},
title = {Local Features and Visual Words Emerge in Activations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hyperspectral Image Super-Resolution With Optimized RGB Guidance: Ying Fu,

Tao Zhang,

Yinqiang Zheng,

Debing Zhang,

Hua Huang; [pdf]
[bibtex]
@InProceedings{Fu_2019_CVPR,
author = {Fu, Ying and Zhang, Tao and Zheng, Yinqiang and Zhang, Debing and Huang, Hua},
title = {Hyperspectral Image Super-Resolution With Optimized RGB Guidance},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning: Yuval Atzmon,

Gal Chechik; [pdf] [supp]
[bibtex]
@InProceedings{Atzmon_2019_CVPR,
author = {Atzmon, Yuval and Chechik, Gal},
title = {Adaptive Confidence Smoothing for Generalized Zero-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PMS-Net: Robust Haze Removal Based on Patch Map for Single Images: Wei-Ting Chen,

Jian-Jiun Ding,

Sy-Yen Kuo; [pdf]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Wei-Ting and Ding, Jian-Jiun and Kuo, Sy-Yen},
title = {PMS-Net: Robust Haze Removal Based on Patch Map for Single Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Spherical Quantization for Image Search: Sepehr Eghbali,

Ladan Tahvildari; [pdf]
[bibtex]
@InProceedings{Eghbali_2019_CVPR,
author = {Eghbali, Sepehr and Tahvildari, Ladan},
title = {Deep Spherical Quantization for Image Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Large-Scale Interactive Object Segmentation With Human Annotators: Rodrigo Benenson,

Stefan Popov,

Vittorio Ferrari; [pdf] [supp]
[bibtex]
@InProceedings{Benenson_2019_CVPR,
author = {Benenson, Rodrigo and Popov, Stefan and Ferrari, Vittorio},
title = {Large-Scale Interactive Object Segmentation With Human Annotators},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images: Yide Zhang,

Yinhao Zhu,

Evan Nichols,

Qingfei Wang,

Siyuan Zhang,

Cody Smith,

Scott Howard; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yide and Zhu, Yinhao and Nichols, Evan and Wang, Qingfei and Zhang, Siyuan and Smith, Cody and Howard, Scott},
title = {A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Task Agnostic Meta-Learning for Few-Shot Learning: Muhammad Abdullah Jamal,

Guo-Jun Qi; [pdf]
[bibtex]
@InProceedings{Jamal_2019_CVPR,
author = {Jamal, Muhammad Abdullah and Qi, Guo-Jun},
title = {Task Agnostic Meta-Learning for Few-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Progressive Ensemble Networks for Zero-Shot Recognition: Meng Ye,

Yuhong Guo; [pdf]
[bibtex]
@InProceedings{Ye_2019_CVPR,
author = {Ye, Meng and Guo, Yuhong},
title = {Progressive Ensemble Networks for Zero-Shot Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Direct Object Recognition Without Line-Of-Sight Using Optical Coherence: Xin Lei,

Liangyu He,

Yixuan Tan,

Ken Xingze Wang,

Xinggang Wang,

Yihan Du,

Shanhui Fan,

Zongfu Yu; [pdf]
[bibtex]
@InProceedings{Lei_2019_CVPR,
author = {Lei, Xin and He, Liangyu and Tan, Yixuan and Wang, Ken Xingze and Wang, Xinggang and Du, Yihan and Fan, Shanhui and Yu, Zongfu},
title = {Direct Object Recognition Without Line-Of-Sight Using Optical Coherence},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning: Mahdi S. Hosseini,

Lyndon Chan,

Gabriel Tse,

Michael Tang,

Jun Deng,

Sajad Norouzi,

Corwyn Rowsell,

Konstantinos N. Plataniotis,

Savvas Damaskinos; [pdf] [supp]
[bibtex]
@InProceedings{Hosseini_2019_CVPR,
author = {Hosseini, Mahdi S. and Chan, Lyndon and Tse, Gabriel and Tang, Michael and Deng, Jun and Norouzi, Sajad and Rowsell, Corwyn and Plataniotis, Konstantinos N. and Damaskinos, Savvas},
title = {Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras: Thiago L. T. da Silveira,

Claudio R. Jung; [pdf]
[bibtex]
@InProceedings{Silveira_2019_CVPR,
author = {Silveira, Thiago L. T. da and Jung, Claudio R.},
title = {Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Robustness of 3D Deep Learning in an Adversarial Setting: Matthew Wicker,

Marta Kwiatkowska; [pdf]
[bibtex]
@InProceedings{Wicker_2019_CVPR,
author = {Wicker, Matthew and Kwiatkowska, Marta},
title = {Robustness of 3D Deep Learning in an Adversarial Setting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations: Shuaifeng Zhi,

Michael Bloesch,

Stefan Leutenegger,

Andrew J. Davison; [pdf]
[bibtex]
@InProceedings{Zhi_2019_CVPR,
author = {Zhi, Shuaifeng and Bloesch, Michael and Leutenegger, Stefan and Davison, Andrew J.},
title = {SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
StereoDRNet: Dilated Residual StereoNet: Rohan Chabra,

Julian Straub,

Christopher Sweeney,

Richard Newcombe,

Henry Fuchs; [pdf] [supp]
[bibtex]
@InProceedings{Chabra_2019_CVPR,
author = {Chabra, Rohan and Straub, Julian and Sweeney, Christopher and Newcombe, Richard and Fuchs, Henry},
title = {StereoDRNet: Dilated Residual StereoNet},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation: Dylan Campbell,

Lars Petersson,

Laurent Kneip,

Hongdong Li,

Stephen Gould; [pdf] [supp]
[bibtex]
@InProceedings{Campbell_2019_CVPR,
author = {Campbell, Dylan and Petersson, Lars and Kneip, Laurent and Li, Hongdong and Gould, Stephen},
title = {The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Joint Reconstruction of Hands and Manipulated Objects: Yana Hasson,

Gul Varol,

Dimitrios Tzionas,

Igor Kalevatykh,

Michael J. Black,

Ivan Laptev,

Cordelia Schmid; [pdf] [supp]
[bibtex]
@InProceedings{Hasson_2019_CVPR,
author = {Hasson, Yana and Varol, Gul and Tzionas, Dimitrios and Kalevatykh, Igor and Black, Michael J. and Laptev, Ivan and Schmid, Cordelia},
title = {Learning Joint Reconstruction of Hands and Manipulated Objects},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Single Image Camera Calibration With Radial Distortion: Manuel Lopez,

Roger Mari,

Pau Gargallo,

Yubin Kuang,

Javier Gonzalez-Jimenez,

Gloria Haro; [pdf] [supp]
[bibtex]
@InProceedings{Lopez_2019_CVPR,
author = {Lopez, Manuel and Mari, Roger and Gargallo, Pau and Kuang, Yubin and Gonzalez-Jimenez, Javier and Haro, Gloria},
title = {Deep Single Image Camera Calibration With Radial Distortion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth: Jose M. Facil,

Benjamin Ummenhofer,

Huizhong Zhou,

Luis Montesano,

Thomas Brox,

Javier Civera; [pdf] [supp]
[bibtex]
@InProceedings{Facil_2019_CVPR,
author = {Facil, Jose M. and Ummenhofer, Benjamin and Zhou, Huizhong and Montesano, Luis and Brox, Thomas and Civera, Javier},
title = {CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Translate-to-Recognize Networks for RGB-D Scene Recognition: Dapeng Du,

Limin Wang,

Huiling Wang,

Kai Zhao,

Gangshan Wu; [pdf]
[bibtex]
@InProceedings{Du_2019_CVPR,
author = {Du, Dapeng and Wang, Limin and Wang, Huiling and Zhao, Kai and Wu, Gangshan},
title = {Translate-to-Recognize Networks for RGB-D Scene Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Re-Identification Supervised Texture Generation: Jian Wang,

Yunshan Zhong,

Yachun Li,

Chi Zhang,

Yichen Wei; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Jian and Zhong, Yunshan and Li, Yachun and Zhang, Chi and Wei, Yichen},
title = {Re-Identification Supervised Texture Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Action4D: Online Action Recognition in the Crowd and Clutter: Quanzeng You,

Hao Jiang; [pdf]
[bibtex]
@InProceedings{You_2019_CVPR,
author = {You, Quanzeng and Jiang, Hao},
title = {Action4D: Online Action Recognition in the Crowd and Clutter},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction: Jason Ku,

Alex D. Pon,

Steven L. Waslander; [pdf] [supp]
[bibtex]
@InProceedings{Ku_2019_CVPR,
author = {Ku, Jason and Pon, Alex D. and Waslander, Steven L.},
title = {Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks: Yunfan Liu,

Qi Li,

Zhenan Sun; [pdf]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Yunfan and Li, Qi and Sun, Zhenan},
title = {Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Noise-Tolerant Paradigm for Training Face Recognition CNNs: Wei Hu,

Yangyu Huang,

Fan Zhang,

Ruirui Li; [pdf]
[bibtex]
@InProceedings{Hu_2019_CVPR,
author = {Hu, Wei and Huang, Yangyu and Zhang, Fan and Li, Ruirui},
title = {Noise-Tolerant Paradigm for Training Face Recognition CNNs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition: Jiayu Dong,

Huicheng Zheng,

Lina Lian; [pdf]
[bibtex]
@InProceedings{Dong_2019_CVPR,
author = {Dong, Jiayu and Zheng, Huicheng and Lian, Lina},
title = {Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generalizing Eye Tracking With Bayesian Adversarial Learning: Kang Wang,

Rui Zhao,

Hui Su,

Qiang Ji; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Kang and Zhao, Rui and Su, Hui and Ji, Qiang},
title = {Generalizing Eye Tracking With Bayesian Adversarial Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection: Xuesong Niu,

Hu Han,

Songfan Yang,

Yan Huang,

Shiguang Shan; [pdf]
[bibtex]
@InProceedings{Niu_2019_CVPR,
author = {Niu, Xuesong and Han, Hu and Yang, Songfan and Huang, Yan and Shan, Shiguang},
title = {Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer: Shile Li,

Dongheui Lee; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Shile and Lee, Dongheui},
title = {Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis: Yu Yu,

Gang Liu,

Jean-Marc Odobez; [pdf] [supp]
[bibtex]
@InProceedings{Yu_2019_CVPR,
author = {Yu, Yu and Liu, Gang and Odobez, Jean-Marc},
title = {Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AdaptiveFace: Adaptive Margin and Sampling for Face Recognition: Hao Liu,

Xiangyu Zhu,

Zhen Lei,

Stan Z. Li; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Hao and Zhu, Xiangyu and Lei, Zhen and Li, Stan Z.},
title = {AdaptiveFace: Adaptive Margin and Sampling for Face Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Disentangled Representation Learning for 3D Face Shape: Zi-Hang Jiang,

Qianyi Wu,

Keyu Chen,

Juyong Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Jiang_2019_CVPR,
author = {Jiang, Zi-Hang and Wu, Qianyi and Chen, Keyu and Zhang, Juyong},
title = {Disentangled Representation Learning for 3D Face Shape},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds: Chun-Liang Li,

Tomas Simon,

Jason Saragih,

Barnabas Poczos,

Yaser Sheikh; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Chun-Liang and Simon, Tomas and Saragih, Jason and Poczos, Barnabas and Sheikh, Yaser},
title = {LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PifPaf: Composite Fields for Human Pose Estimation: Sven Kreiss,

Lorenzo Bertoni,

Alexandre Alahi; [pdf]
[bibtex]
@InProceedings{Kreiss_2019_CVPR,
author = {Kreiss, Sven and Bertoni, Lorenzo and Alahi, Alexandre},
title = {PifPaf: Composite Fields for Human Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection: Lin Song,

Shiwei Zhang,

Gang Yu,

Hongbin Sun; [pdf]
[bibtex]
@InProceedings{Song_2019_CVPR,
author = {Song, Lin and Zhang, Shiwei and Yu, Gang and Sun, Hongbin},
title = {TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos: Romero Morais,

Vuong Le,

Truyen Tran,

Budhaditya Saha,

Moussa Mansour,

Svetha Venkatesh; [pdf] [supp]
[bibtex]
@InProceedings{Morais_2019_CVPR,
author = {Morais, Romero and Le, Vuong and Tran, Truyen and Saha, Budhaditya and Mansour, Moussa and Venkatesh, Svetha},
title = {Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Local Temporal Bilinear Pooling for Fine-Grained Action Parsing: Yan Zhang,

Siyu Tang,

Krikamol Muandet,

Christian Jarvers,

Heiko Neumann; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yan and Tang, Siyu and Muandet, Krikamol and Jarvers, Christian and Neumann, Heiko},
title = {Local Temporal Bilinear Pooling for Fine-Grained Action Parsing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Improving Action Localization by Progressive Cross-Stream Cooperation: Rui Su,

Wanli Ouyang,

Luping Zhou,

Dong Xu; [pdf]
[bibtex]
@InProceedings{Su_2019_CVPR,
author = {Su, Rui and Ouyang, Wanli and Zhou, Luping and Xu, Dong},
title = {Improving Action Localization by Progressive Cross-Stream Cooperation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition: Lei Shi,

Yifan Zhang,

Jian Cheng,

Hanqing Lu; [pdf] [supp]
[bibtex]
@InProceedings{Shi_2019_CVPR,
author = {Shi, Lei and Zhang, Yifan and Cheng, Jian and Lu, Hanqing},
title = {Two-Stream Adaptive 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}
}
A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition: Xuan Son Nguyen,

Luc Brun,

Olivier Lezoray,

Sebastien Bougleux; [pdf]
[bibtex]
@InProceedings{Nguyen_2019_CVPR,
author = {Nguyen, Xuan Son and Brun, Luc and Lezoray, Olivier and Bougleux, Sebastien},
title = {A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition: Deepti Ghadiyaram,

Du Tran,

Dhruv Mahajan; [pdf]
[bibtex]
@InProceedings{Ghadiyaram_2019_CVPR,
author = {Ghadiyaram, Deepti and Tran, Du and Mahajan, Dhruv},
title = {Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Spatio-Temporal Representation With Local and Global Diffusion: Zhaofan Qiu,

Ting Yao,

Chong-Wah Ngo,

Xinmei Tian,

Tao Mei; [pdf]
[bibtex]
@InProceedings{Qiu_2019_CVPR,
author = {Qiu, Zhaofan and Yao, Ting and Ngo, Chong-Wah and Tian, Xinmei and Mei, Tao},
title = {Learning Spatio-Temporal Representation With Local and Global Diffusion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Learning of Action Classes With Continuous Temporal Embedding: Anna Kukleva,

Hilde Kuehne,

Fadime Sener,

Jurgen Gall; [pdf] [supp]
[bibtex]
@InProceedings{Kukleva_2019_CVPR,
author = {Kukleva, Anna and Kuehne, Hilde and Sener, Fadime and Gall, Jurgen},
title = {Unsupervised Learning of Action Classes With Continuous Temporal Embedding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering: Xinglin Piao,

Yongli Hu,

Junbin Gao,

Yanfeng Sun,

Baocai Yin; [pdf]
[bibtex]
@InProceedings{Piao_2019_CVPR,
author = {Piao, Xinglin and Hu, Yongli and Gao, Junbin and Sun, Yanfeng and Yin, Baocai},
title = {Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction: Pu Zhang,

Wanli Ouyang,

Pengfei Zhang,

Jianru Xue,

Nanning Zheng; [pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Pu and Ouyang, Wanli and Zhang, Pengfei and Xue, Jianru and Zheng, Nanning},
title = {SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes: Yiran Zhong,

Pan Ji,

Jianyuan Wang,

Yuchao Dai,

Hongdong Li; [pdf] [supp]
[bibtex]
@InProceedings{Zhong_2019_CVPR,
author = {Zhong, Yiran and Ji, Pan and Wang, Jianyuan and Dai, Yuchao and Li, Hongdong},
title = {Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM: Patrick Geneva,

James Maley,

Guoquan Huang; [pdf] [supp]
[bibtex]
@InProceedings{Geneva_2019_CVPR,
author = {Geneva, Patrick and Maley, James and Huang, Guoquan},
title = {An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Neural Temporal Model for Human Motion Prediction: Anand Gopalakrishnan,

Ankur Mali,

Dan Kifer,

Lee Giles,

Alexander G. Ororbia; [pdf] [supp]
[bibtex]
@InProceedings{Gopalakrishnan_2019_CVPR,
author = {Gopalakrishnan, Anand and Mali, Ankur and Kifer, Dan and Giles, Lee and Ororbia, Alexander G.},
title = {A Neural Temporal Model for Human Motion Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction: Tianyang Zhao,

Yifei Xu,

Mathew Monfort,

Wongun Choi,

Chris Baker,

Yibiao Zhao,

Yizhou Wang,

Ying Nian Wu; [pdf] [supp]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Tianyang and Xu, Yifei and Monfort, Mathew and Choi, Wongun and Baker, Chris and Zhao, Yibiao and Wang, Yizhou and Wu, Ying Nian},
title = {Multi-Agent Tensor Fusion for Contextual Trajectory Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation: Artur Grigorev,

Artem Sevastopolsky,

Alexander Vakhitov,

Victor Lempitsky; [pdf] [supp]
[bibtex]
@InProceedings{Grigorev_2019_CVPR,
author = {Grigorev, Artur and Sevastopolsky, Artem and Vakhitov, Alexander and Lempitsky, Victor},
title = {Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
On Stabilizing Generative Adversarial Training With Noise: Simon Jenni,

Paolo Favaro; [pdf] [supp]
[bibtex]
@InProceedings{Jenni_2019_CVPR,
author = {Jenni, Simon and Favaro, Paolo},
title = {On Stabilizing Generative Adversarial Training With Noise},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Supervised GANs via Auxiliary Rotation Loss: Ting Chen,

Xiaohua Zhai,

Marvin Ritter,

Mario Lucic,

Neil Houlsby; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Ting and Zhai, Xiaohua and Ritter, Marvin and Lucic, Mario and Houlsby, Neil},
title = {Self-Supervised GANs via Auxiliary Rotation Loss},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture: Ning Yu,

Connelly Barnes,

Eli Shechtman,

Sohrab Amirghodsi,

Michal Lukac; [pdf] [supp]
[bibtex]
@InProceedings{Yu_2019_CVPR,
author = {Yu, Ning and Barnes, Connelly and Shechtman, Eli and Amirghodsi, Sohrab and Lukac, Michal},
title = {Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object-Driven Text-To-Image Synthesis via Adversarial Training: Wenbo Li,

Pengchuan Zhang,

Lei Zhang,

Qiuyuan Huang,

Xiaodong He,

Siwei Lyu,

Jianfeng Gao; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Wenbo and Zhang, Pengchuan and Zhang, Lei and Huang, Qiuyuan and He, Xiaodong and Lyu, Siwei and Gao, Jianfeng},
title = {Object-Driven Text-To-Image Synthesis via Adversarial Training},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination: Liangzhe Yuan,

Yibo Chen,

Hantian Liu,

Tao Kong,

Jianbo Shi; [pdf]
[bibtex]
@InProceedings{Yuan_2019_CVPR,
author = {Yuan, Liangzhe and Chen, Yibo and Liu, Hantian and Kong, Tao and Shi, Jianbo},
title = {Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions: Zhilin Zheng,

Li Sun; [pdf]
[bibtex]
@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Zhilin and Sun, Li},
title = {Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager: Yuanyuan Zhao,

Xuemei Hu,

Hui Guo,

Zhan Ma,

Tao Yue,

Xun Cao; [pdf]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Yuanyuan and Hu, Xuemei and Guo, Hui and Ma, Zhan and Yue, Tao and Cao, Xun},
title = {Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Quasi-Unsupervised Color Constancy: Simone Bianco,

Claudio Cusano; [pdf]
[bibtex]
@InProceedings{Bianco_2019_CVPR,
author = {Bianco, Simone and Cusano, Claudio},
title = {Quasi-Unsupervised Color Constancy},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Defocus Map Estimation Using Domain Adaptation: Junyong Lee,

Sungkil Lee,

Sunghyun Cho,

Seungyong Lee; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2019_CVPR,
author = {Lee, Junyong and Lee, Sungkil and Cho, Sunghyun and Lee, Seungyong},
title = {Deep Defocus Map Estimation Using Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Using Unknown Occluders to Recover Hidden Scenes: Adam B. Yedidia,

Manel Baradad,

Christos Thrampoulidis,

William T. Freeman,

Gregory W. Wornell; [pdf]
[bibtex]
@InProceedings{Yedidia_2019_CVPR,
author = {Yedidia, Adam B. and Baradad, Manel and Thrampoulidis, Christos and Freeman, William T. and Wornell, Gregory W.},
title = {Using Unknown Occluders to Recover Hidden Scenes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation: Anurag Ranjan,

Varun Jampani,

Lukas Balles,

Kihwan Kim,

Deqing Sun,

Jonas Wulff,

Michael J. Black; [pdf] [supp]
[bibtex]
@InProceedings{Ranjan_2019_CVPR,
author = {Ranjan, Anurag and Jampani, Varun and Balles, Lukas and Kim, Kihwan and Sun, Deqing and Wulff, Jonas and Black, Michael J.},
title = {Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Parallax Attention for Stereo Image Super-Resolution: Longguang Wang,

Yingqian Wang,

Zhengfa Liang,

Zaiping Lin,

Jungang Yang,

Wei An,

Yulan Guo; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Longguang and Wang, Yingqian and Liang, Zhengfa and Lin, Zaiping and Yang, Jungang and An, Wei and Guo, Yulan},
title = {Learning Parallax Attention for Stereo Image Super-Resolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications: Chenglong Wang,

Rudy Bunel,

Krishnamurthy Dvijotham,

Po-Sen Huang,

Edward Grefenstette,

Pushmeet Kohli; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Chenglong and Bunel, Rudy and Dvijotham, Krishnamurthy and Huang, Po-Sen and Grefenstette, Edward and Kohli, Pushmeet},
title = {Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset: Tianyu Wang,

Xin Yang,

Ke Xu,

Shaozhe Chen,

Qiang Zhang,

Rynson W.H. Lau; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Tianyu and Yang, Xin and Xu, Ke and Chen, Shaozhe and Zhang, Qiang and Lau, Rynson W.H.},
title = {Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Focus Is All You Need: Loss Functions for Event-Based Vision: Guillermo Gallego,

Mathias Gehrig,

Davide Scaramuzza; [pdf] [supp]
[bibtex]
@InProceedings{Gallego_2019_CVPR,
author = {Gallego, Guillermo and Gehrig, Mathias and Scaramuzza, Davide},
title = {Focus Is All You Need: Loss Functions for Event-Based Vision},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Scalable Convolutional Neural Network for Image Compressed Sensing: Wuzhen Shi,

Feng Jiang,

Shaohui Liu,

Debin Zhao; [pdf]
[bibtex]
@InProceedings{Shi_2019_CVPR,
author = {Shi, Wuzhen and Jiang, Feng and Liu, Shaohui and Zhao, Debin},
title = {Scalable Convolutional Neural Network for Image Compressed Sensing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Event Cameras, Contrast Maximization and Reward Functions: An Analysis: Timo Stoffregen,

Lindsay Kleeman; [pdf] [supp]
[bibtex]
@InProceedings{Stoffregen_2019_CVPR,
author = {Stoffregen, Timo and Kleeman, Lindsay},
title = {Event Cameras, Contrast Maximization and Reward Functions: An Analysis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Convolutional Neural Networks Can Be Deceived by Visual Illusions: Alexander Gomez-Villa,

Adrian Martin,

Javier Vazquez-Corral,

Marcelo Bertalmio; [pdf] [supp]
[bibtex]
@InProceedings{Gomez-Villa_2019_CVPR,
author = {Gomez-Villa, Alexander and Martin, Adrian and Vazquez-Corral, Javier and Bertalmio, Marcelo},
title = {Convolutional Neural Networks Can Be Deceived by Visual Illusions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PDE Acceleration for Active Contours: Anthony Yezzi,

Ganesh Sundaramoorthi,

Minas Benyamin; [pdf]
[bibtex]
@InProceedings{Yezzi_2019_CVPR,
author = {Yezzi, Anthony and Sundaramoorthi, Ganesh and Benyamin, Minas},
title = {PDE Acceleration for Active Contours},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dichromatic Model Based Temporal Color Constancy for AC Light Sources: Jun-Sang Yoo,

Jong-Ok Kim; [pdf]
[bibtex]
@InProceedings{Yoo_2019_CVPR,
author = {Yoo, Jun-Sang and Kim, Jong-Ok},
title = {Dichromatic Model Based Temporal Color Constancy for AC Light Sources},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantic Attribute Matching Networks: Seungryong Kim,

Dongbo Min,

Somi Jeong,

Sunok Kim,

Sangryul Jeon,

Kwanghoon Sohn; [pdf]
[bibtex]
@InProceedings{Kim_2019_CVPR,
author = {Kim, Seungryong and Min, Dongbo and Jeong, Somi and Kim, Sunok and Jeon, Sangryul and Sohn, Kwanghoon},
title = {Semantic Attribute Matching Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Skin-Based Identification From Multispectral Image Data Using CNNs: Takeshi Uemori,

Atsushi Ito,

Yusuke Moriuchi,

Alexander Gatto,

Jun Murayama; [pdf] [supp]
[bibtex]
@InProceedings{Uemori_2019_CVPR,
author = {Uemori, Takeshi and Ito, Atsushi and Moriuchi, Yusuke and Gatto, Alexander and Murayama, Jun},
title = {Skin-Based Identification From Multispectral Image Data Using CNNs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks: Kazuki Osawa,

Yohei Tsuji,

Yuichiro Ueno,

Akira Naruse,

Rio Yokota,

Satoshi Matsuoka; [pdf]
[bibtex]
@InProceedings{Osawa_2019_CVPR,
author = {Osawa, Kazuki and Tsuji, Yohei and Ueno, Yuichiro and Naruse, Akira and Yokota, Rio and Matsuoka, Satoshi},
title = {Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments: Xueting Li,

Sifei Liu,

Kihwan Kim,

Xiaolong Wang,

Ming-Hsuan Yang,

Jan Kautz; [pdf] [supp]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Xueting and Liu, Sifei and Kim, Kihwan and Wang, Xiaolong and Yang, Ming-Hsuan and Kautz, Jan},
title = {Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PIEs: Pose Invariant Embeddings: Chih-Hui Ho,

Pedro Morgado,

Amir Persekian,

Nuno Vasconcelos; [pdf] [supp]
[bibtex]
@InProceedings{Ho_2019_CVPR,
author = {Ho, Chih-Hui and Morgado, Pedro and Persekian, Amir and Vasconcelos, Nuno},
title = {PIEs: Pose Invariant Embeddings},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning: Kshitij Dwivedi,

Gemma Roig; [pdf] [supp]
[bibtex]
@InProceedings{Dwivedi_2019_CVPR,
author = {Dwivedi, Kshitij and Roig, Gemma},
title = {Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object Counting and Instance Segmentation With Image-Level Supervision: Hisham Cholakkal,

Guolei Sun,

Fahad Shahbaz Khan,

Ling Shao; [pdf] [supp]
[bibtex]
@InProceedings{Cholakkal_2019_CVPR,
author = {Cholakkal, Hisham and Sun, Guolei and Khan, Fahad Shahbaz and Shao, Ling},
title = {Object Counting and Instance Segmentation With Image-Level Supervision},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Variational Autoencoders Pursue PCA Directions (by Accident): Michal Rolinek,

Dominik Zietlow,

Georg Martius; [pdf] [supp]
[bibtex]
@InProceedings{Rolinek_2019_CVPR,
author = {Rolinek, Michal and Zietlow, Dominik and Martius, Georg},
title = {Variational Autoencoders Pursue PCA Directions (by Accident)},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes: Lichao Mou,

Yuansheng Hua,

Xiao Xiang Zhu; [pdf]
[bibtex]
@InProceedings{Mou_2019_CVPR,
author = {Mou, Lichao and Hua, Yuansheng and Zhu, Xiao Xiang},
title = {A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping: Suhas Lohit,

Qiao Wang,

Pavan Turaga; [pdf] [supp]
[bibtex]
@InProceedings{Lohit_2019_CVPR,
author = {Lohit, Suhas and Wang, Qiao and Turaga, Pavan},
title = {Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval: Wenxiao Zhang,

Chunxia Xiao; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Wenxiao and Xiao, Chunxia},
title = {PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Depth Coefficients for Depth Completion: Saif Imran,

Yunfei Long,

Xiaoming Liu,

Daniel Morris; [pdf]
[bibtex]
@InProceedings{Imran_2019_CVPR,
author = {Imran, Saif and Long, Yunfei and Liu, Xiaoming and Morris, Daniel},
title = {Depth Coefficients for Depth Completion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection: Taekyung Kim,

Minki Jeong,

Seunghyeon Kim,

Seokeon Choi,

Changick Kim; [pdf] [supp]
[bibtex]
@InProceedings{Kim_2019_CVPR,
author = {Kim, Taekyung and Jeong, Minki and Kim, Seunghyeon and Choi, Seokeon and Kim, Changick},
title = {Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Good News, Everyone! Context Driven Entity-Aware Captioning for News Images: Ali Furkan Biten,

Lluis Gomez,

Marcal Rusinol,

Dimosthenis Karatzas; [pdf]
[bibtex]
@InProceedings{Biten_2019_CVPR,
author = {Biten, Ali Furkan and Gomez, Lluis and Rusinol, Marcal and Karatzas, Dimosthenis},
title = {Good News, Everyone! Context Driven Entity-Aware Captioning for News Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding: Hassan Akbari,

Svebor Karaman,

Surabhi Bhargava,

Brian Chen,

Carl Vondrick,

Shih-Fu Chang; [pdf] [supp]
[bibtex]
@InProceedings{Akbari_2019_CVPR,
author = {Akbari, Hassan and Karaman, Svebor and Bhargava, Surabhi and Chen, Brian and Vondrick, Carl and Chang, Shih-Fu},
title = {Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning: Nayyer Aafaq,

Naveed Akhtar,

Wei Liu,

Syed Zulqarnain Gilani,

Ajmal Mian; [pdf] [supp]
[bibtex]
@InProceedings{Aafaq_2019_CVPR,
author = {Aafaq, Nayyer and Akhtar, Naveed and Liu, Wei and Gilani, Syed Zulqarnain and Mian, Ajmal},
title = {Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pointing Novel Objects in Image Captioning: Yehao Li,

Ting Yao,

Yingwei Pan,

Hongyang Chao,

Tao Mei; [pdf]
[bibtex]
@InProceedings{Li_2019_CVPR,
author = {Li, Yehao and Yao, Ting and Pan, Yingwei and Chao, Hongyang and Mei, Tao},
title = {Pointing Novel Objects in Image Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Informative Object Annotations: Tell Me Something I Don't Know: Lior Bracha,

Gal Chechik; [pdf] [supp]
[bibtex]
@InProceedings{Bracha_2019_CVPR,
author = {Bracha, Lior and Chechik, Gal},
title = {Informative Object Annotations: Tell Me Something I Don't Know},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Engaging Image Captioning via Personality: Kurt Shuster,

Samuel Humeau,

Hexiang Hu,

Antoine Bordes,

Jason Weston; [pdf] [supp]
[bibtex]
@InProceedings{Shuster_2019_CVPR,
author = {Shuster, Kurt and Humeau, Samuel and Hu, Hexiang and Bordes, Antoine and Weston, Jason},
title = {Engaging Image Captioning via Personality},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention: Khanh Nguyen,

Debadeepta Dey,

Chris Brockett,

Bill Dolan; [pdf] [supp]
[bibtex]
@InProceedings{Nguyen_2019_CVPR,
author = {Nguyen, Khanh and Dey, Debadeepta and Brockett, Chris and Dolan, Bill},
title = {Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments: Howard Chen,

Alane Suhr,

Dipendra Misra,

Noah Snavely,

Yoav Artzi; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2019_CVPR,
author = {Chen, Howard and Suhr, Alane and Misra, Dipendra and Snavely, Noah and Artzi, Yoav},
title = {TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Simple Baseline for Audio-Visual Scene-Aware Dialog: Idan Schwartz,

Alexander G. Schwing,

Tamir Hazan; [pdf] [supp]
[bibtex]
@InProceedings{Schwartz_2019_CVPR,
author = {Schwartz, Idan and Schwing, Alexander G. and Hazan, Tamir},
title = {A Simple Baseline for Audio-Visual Scene-Aware Dialog},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
End-To-End Learned Random Walker for Seeded Image Segmentation: Lorenzo Cerrone,

Alexander Zeilmann,

Fred A. Hamprecht; [pdf] [supp]
[bibtex]
@InProceedings{Cerrone_2019_CVPR,
author = {Cerrone, Lorenzo and Zeilmann, Alexander and Hamprecht, Fred A.},
title = {End-To-End Learned Random Walker for Seeded Image Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Efficient Neural Network Compression: Hyeji Kim,

Muhammad Umar Karim Khan,

Chong-Min Kyung; [pdf]
[bibtex]
@InProceedings{Kim_2019_CVPR,
author = {Kim, Hyeji and Khan, Muhammad Umar Karim and Kyung, Chong-Min},
title = {Efficient Neural Network Compression},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms: Fandong Zhang,

Ling Luo,

Xinwei Sun,

Zhen Zhou,

Xiuli Li,

Yizhou Yu,

Yizhou Wang; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Fandong and Luo, Ling and Sun, Xinwei and Zhou, Zhen and Li, Xiuli and Yu, Yizhou and Wang, Yizhou},
title = {Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
C3AE: Exploring the Limits of Compact Model for Age Estimation: Chao Zhang,

Shuaicheng Liu,

Xun Xu,

Ce Zhu; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Chao and Liu, Shuaicheng and Xu, Xun and Zhu, Ce},
title = {C3AE: Exploring the Limits of Compact Model for Age Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology: Hiroki Tokunaga,

Yuki Teramoto,

Akihiko Yoshizawa,

Ryoma Bise; [pdf]
[bibtex]
@InProceedings{Tokunaga_2019_CVPR,
author = {Tokunaga, Hiroki and Teramoto, Yuki and Yoshizawa, Akihiko and Bise, Ryoma},
title = {Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images: Marin Orsic,

Ivan Kreso,

Petra Bevandic,

Sinisa Segvic; [pdf] [supp]
[bibtex]
@InProceedings{Orsic_2019_CVPR,
author = {Orsic, Marin and Kreso, Ivan and Bevandic, Petra and Segvic, Sinisa},
title = {In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Context-Aware Visual Compatibility Prediction: Guillem Cucurull,

Perouz Taslakian,

David Vazquez; [pdf]
[bibtex]
@InProceedings{Cucurull_2019_CVPR,
author = {Cucurull, Guillem and Taslakian, Perouz and Vazquez, David},
title = {Context-Aware Visual Compatibility Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks: Stephen James,

Paul Wohlhart,

Mrinal Kalakrishnan,

Dmitry Kalashnikov,

Alex Irpan,

Julian Ibarz,

Sergey Levine,

Raia Hadsell,

Konstantinos Bousmalis; [pdf] [supp]
[bibtex]
@InProceedings{James_2019_CVPR,
author = {James, Stephen and Wohlhart, Paul and Kalakrishnan, Mrinal and Kalashnikov, Dmitry and Irpan, Alex and Ibarz, Julian and Levine, Sergey and Hadsell, Raia and Bousmalis, Konstantinos},
title = {Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation: Haofu Liao,

Wei-An Lin,

Jiarui Zhang,

Jingdan Zhang,

Jiebo Luo,

S. Kevin Zhou; [pdf] [supp]
[bibtex]
@InProceedings{Liao_2019_CVPR,
author = {Liao, Haofu and Lin, Wei-An and Zhang, Jiarui and Zhang, Jingdan and Luo, Jiebo and Zhou, S. Kevin},
title = {Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation: Feigege Wang,

Yue Gu,

Wenxi Liu,

Yuanlong Yu,

Shengfeng He,

Jia Pan; [pdf]
[bibtex]
@InProceedings{Wang_2019_CVPR,
author = {Wang, Feigege and Gu, Yue and Liu, Wenxi and Yu, Yuanlong and He, Shengfeng and Pan, Jia},
title = {Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
An Alternative Deep Feature Approach to Line Level Keyword Spotting: George Retsinas,

Georgios Louloudis,

Nikolaos Stamatopoulos,

Giorgos Sfikas,

Basilis Gatos; [pdf]
[bibtex]
@InProceedings{Retsinas_2019_CVPR,
author = {Retsinas, George and Louloudis, Georgios and Stamatopoulos, Nikolaos and Sfikas, Giorgos and Gatos, Basilis},
title = {An Alternative Deep Feature Approach to Line Level Keyword Spotting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dynamics Are Important for the Recognition of Equine Pain in Video: Sofia Broome,

Karina Bech Gleerup,

Pia Haubro Andersen,

Hedvig Kjellstrom; [pdf]
[bibtex]
@InProceedings{Broome_2019_CVPR,
author = {Broome, Sofia and Gleerup, Karina Bech and Andersen, Pia Haubro and Kjellstrom, Hedvig},
title = {Dynamics Are Important for the Recognition of Equine Pain in Video},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving: Gregory P. Meyer,

Ankit Laddha,

Eric Kee,

Carlos Vallespi-Gonzalez,

Carl K. Wellington; [pdf]
[bibtex]
@InProceedings{Meyer_2019_CVPR,
author = {Meyer, Gregory P. and Laddha, Ankit and Kee, Eric and Vallespi-Gonzalez, Carlos and Wellington, Carl K.},
title = {LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds: Zihao Liu,

Xiaowei Xu,

Tao Liu,

Qi Liu,

Yanzhi Wang,

Yiyu Shi,

Wujie Wen,

Meiping Huang,

Haiyun Yuan,

Jian Zhuang; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2019_CVPR,
author = {Liu, Zihao and Xu, Xiaowei and Liu, Tao and Liu, Qi and Wang, Yanzhi and Shi, Yiyu and Wen, Wujie and Huang, Meiping and Yuan, Haiyun and Zhuang, Jian},
title = {Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PointPillars: Fast Encoders for Object Detection From Point Clouds: Alex H. Lang,

Sourabh Vora,

Holger Caesar,

Lubing Zhou,

Jiong Yang,

Oscar Beijbom; [pdf]
[bibtex]
@InProceedings{Lang_2019_CVPR,
author = {Lang, Alex H. and Vora, Sourabh and Caesar, Holger and Zhou, Lubing and Yang, Jiong and Beijbom, Oscar},
title = {PointPillars: Fast Encoders for Object Detection From Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views: Kun Huang,

Yifu Wang,

Laurent Kneip; [pdf] [supp]
[bibtex]
@InProceedings{Huang_2019_CVPR,
author = {Huang, Kun and Wang, Yifu and Kneip, Laurent},
title = {Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
From Coarse to Fine: Robust Hierarchical Localization at Large Scale: Paul-Edouard Sarlin,

Cesar Cadena,

Roland Siegwart,

Marcin Dymczyk; [pdf] [supp]
[bibtex]
@InProceedings{Sarlin_2019_CVPR,
author = {Sarlin, Paul-Edouard and Cadena, Cesar and Siegwart, Roland and Dymczyk, Marcin},
title = {From Coarse to Fine: Robust Hierarchical Localization at Large Scale},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data: Caleb Robinson,

Le Hou,

Kolya Malkin,

Rachel Soobitsky,

Jacob Czawlytko,

Bistra Dilkina,

Nebojsa Jojic; [pdf] [supp]
[bibtex]
@InProceedings{Robinson_2019_CVPR,
author = {Robinson, Caleb and Hou, Le and Malkin, Kolya and Soobitsky, Rachel and Czawlytko, Jacob and Dilkina, Bistra and Jojic, Nebojsa},
title = {Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting: Muming Zhao,

Jian Zhang,

Chongyang Zhang,

Wenjun Zhang; [pdf]
[bibtex]
@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Muming and Zhang, Jian and Zhang, Chongyang and Zhang, Wenjun},
title = {Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}