Papers
-
[Go back]
Learning Video Representations From Correspondence Proposals-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Xingyu and Lee, Joon-Young and Jin, Hailin},
title = {Learning Video Representations From Correspondence Proposals},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks-
[pdf]
[video]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Bo and Wu, Wei and Wang, Qiang and Zhang, Fangyi and Xing, Junliang and Yan, Junjie},
title = {SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Sphere Generative Adversarial Network Based on Geometric Moment Matching-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Park_2019_CVPR,
author = {Park, Sung Woo and Kwon, Junseok},
title = {Sphere Generative Adversarial Network Based on Geometric Moment Matching},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adversarial Attacks Beyond the Image Space-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zeng_2019_CVPR,
author = {Zeng, Xiaohui and Liu, Chenxi and Wang, Yu-Siang and Qiu, Weichao and Xie, Lingxi and Tai, Yu-Wing and Tang, Chi-Keung and Yuille, Alan L.},
title = {Adversarial Attacks Beyond the Image Space},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Dong_2019_CVPR,
author = {Dong, Yinpeng and Pang, Tianyu and Su, Hang and Zhu, Jun},
title = {Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Rony_2019_CVPR,
author = {Rony, Jerome and Hafemann, Luiz G. and Oliveira, Luiz S. and Ayed, Ismail Ben and Sabourin, Robert and Granger, Eric},
title = {Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A General and Adaptive Robust Loss Function-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Barron_2019_CVPR,
author = {Barron, Jonathan T.},
title = {A General and Adaptive Robust Loss Function},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration-
[pdf]
[video]
[bibtex]@InProceedings{He_2019_CVPR,
author = {He, Yang and Liu, Ping and Wang, Ziwei and Hu, Zhilan and Yang, Yi},
title = {Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Jung_2019_CVPR,
author = {Jung, Sangil and Son, Changyong and Lee, Seohyung and Son, Jinwoo and Han, Jae-Joon and Kwak, Youngjun and Hwang, Sung Ju and Choi, Changkyu},
title = {Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Sun_2019_CVPR,
author = {Sun, Ruoqi and Zhu, Xinge and Wu, Chongruo and Huang, Chen and Shi, Jianping and Ma, Lizhuang},
title = {Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Learning of Dense Shape Correspondence-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Halimi_2019_CVPR,
author = {Halimi, Oshri and Litany, Or and Rodola, Emanuele and Bronstein, Alex M. and Kimmel, Ron},
title = {Unsupervised Learning of Dense Shape Correspondence},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Kim_2019_CVPR,
author = {Kim, Minyoung and Sahu, Pritish and Gholami, Behnam and Pavlovic, Vladimir},
title = {Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Balanced Self-Paced Learning for Generative Adversarial Clustering Network-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Ghasedi_2019_CVPR,
author = {Ghasedi, Kamran and Wang, Xiaoqian and Deng, Cheng and Huang, Heng},
title = {Balanced Self-Paced Learning for Generative Adversarial Clustering Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Style-Based Generator Architecture for Generative Adversarial Networks-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Karras_2019_CVPR,
author = {Karras, Tero and Laine, Samuli and Aila, Timo},
title = {A Style-Based Generator Architecture for Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Parallel Optimal Transport GAN-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Avraham_2019_CVPR,
author = {Avraham, Gil and Zuo, Yan and Drummond, Tom},
title = {Parallel Optimal Transport GAN},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Hou_2019_CVPR,
author = {Hou, Ji and Dai, Angela and Niessner, Matthias},
title = {3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light-
[pdf]
[video]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yu and Lau, Daniel L. and Yu, Ying},
title = {Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes-
[pdf]
[video]
[bibtex]@InProceedings{Huang_2019_CVPR,
author = {Huang, Jingwei and Zhang, Haotian and Yi, Li and Funkhouser, Thomas and Niessner, Matthias and Guibas, Leonidas J.},
title = {TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Chen and Kim, Kihwan and Gu, Jinwei and Furukawa, Yasutaka and Kautz, Jan},
title = {PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Occupancy Networks: Learning 3D Reconstruction in Function Space-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Mescheder_2019_CVPR,
author = {Mescheder, Lars and Oechsle, Michael and Niemeyer, Michael and Nowozin, Sebastian and Geiger, Andreas},
title = {Occupancy Networks: Learning 3D Reconstruction in Function Space},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D Shape Reconstruction From Images in the Frequency Domain-
[pdf]
[video]
[bibtex]@InProceedings{Shen_2019_CVPR,
author = {Shen, Weichao and Jia, Yunde and Wu, Yuwei},
title = {3D Shape Reconstruction From Images in the Frequency Domain},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SiCloPe: Silhouette-Based Clothed People-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Natsume_2019_CVPR,
author = {Natsume, Ryota and Saito, Shunsuke and Huang, Zeng and Chen, Weikai and Ma, Chongyang and Li, Hao and Morishima, Shigeo},
title = {SiCloPe: Silhouette-Based Clothed People},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation-
[pdf]
[video]
[bibtex]@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Hao and Zuo, Xinxin and Wang, Sen and Cao, Xun and Yang, Ruigang},
title = {Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Kolotouros_2019_CVPR,
author = {Kolotouros, Nikos and Pavlakos, Georgios and Daniilidis, Kostas},
title = {Convolutional Mesh Regression for Single-Image Human Shape Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Tekin_2019_CVPR,
author = {Tekin, Bugra and Bogo, Federica and Pollefeys, Marc},
title = {H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning the Depths of Moving People by Watching Frozen People-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Zhengqi and Dekel, Tali and Cole, Forrester and Tucker, Richard and Snavely, Noah and Liu, Ce and Freeman, William T.},
title = {Learning the Depths of Moving People by Watching Frozen People},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Yang_2019_CVPR,
author = {Yang, Zhenpei and Pan, Jeffrey Z. and Luo, Linjie and Zhou, Xiaowei and Grauman, Kristen and Huang, Qixing},
title = {Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images-
[pdf]
[video]
[bibtex]@InProceedings{Tang_2019_CVPR,
author = {Tang, Jiapeng and Han, Xiaoguang and Pan, Junyi and Jia, Kui and Tong, Xin},
title = {A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Structure-And-Motion-Aware Rolling Shutter Correction-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zhuang_2019_CVPR,
author = {Zhuang, Bingbing and Tran, Quoc-Huy and Ji, Pan and Cheong, Loong-Fah and Chandraker, Manmohan},
title = {Learning Structure-And-Motion-Aware Rolling Shutter Correction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation-
[pdf]
[video]
[bibtex]@InProceedings{Peng_2019_CVPR,
author = {Peng, Sida and Liu, Yuan and Huang, Qixing and Zhou, Xiaowei and Bao, Hujun},
title = {PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SelFlow: Self-Supervised Learning of Optical Flow-
[pdf]
[video]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Pengpeng and Lyu, Michael and King, Irwin and Xu, Jia},
title = {SelFlow: Self-Supervised Learning of Optical Flow},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Taking a Deeper Look at the Inverse Compositional Algorithm-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Lv_2019_CVPR,
author = {Lv, Zhaoyang and Dellaert, Frank and Rehg, James M. and Geiger, Andreas},
title = {Taking a Deeper Look at the Inverse Compositional Algorithm},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deeper and Wider Siamese Networks for Real-Time Visual Tracking-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Zhipeng and Peng, Houwen},
title = {Deeper and Wider Siamese Networks for Real-Time Visual Tracking},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Yoon_2019_CVPR,
author = {Yoon, Jae Shin and Shiratori, Takaaki and Yu, Shoou-I and Park, Hyun Soo},
title = {Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Diverse Generation for Multi-Agent Sports Games-
[pdf]
[video]
[bibtex]@InProceedings{Yeh_2019_CVPR,
author = {Yeh, Raymond A. and Schwing, Alexander G. and Huang, Jonathan and Murphy, Kevin},
title = {Diverse Generation for Multi-Agent Sports Games},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Raaj_2019_CVPR,
author = {Raaj, Yaadhav and Idrees, Haroon and Hidalgo, Gines and Sheikh, Yaser},
title = {Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Melzi_2019_CVPR,
author = {Melzi, Simone and Spezialetti, Riccardo and Tombari, Federico and Bronstein, Michael M. and Stefano, Luigi Di and Rodola, Emanuele},
title = {GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Maksai_2019_CVPR,
author = {Maksai, Andrii and Fua, Pascal},
title = {Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Graph Convolutional Tracking-
[pdf]
[video]
[bibtex]@InProceedings{Gao_2019_CVPR,
author = {Gao, Junyu and Zhang, Tianzhu and Xu, Changsheng},
title = {Graph Convolutional Tracking},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ATOM: Accurate Tracking by Overlap Maximization-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Danelljan_2019_CVPR,
author = {Danelljan, Martin and Bhat, Goutam and Khan, Fahad Shahbaz and Felsberg, Michael},
title = {ATOM: Accurate Tracking by Overlap Maximization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Visual Tracking via Adaptive Spatially-Regularized Correlation Filters-
[pdf]
[video]
[bibtex]@InProceedings{Dai_2019_CVPR,
author = {Dai, Kenan and Wang, Dong and Lu, Huchuan and Sun, Chong and Li, Jianhua},
title = {Visual Tracking via Adaptive Spatially-Regularized Correlation Filters},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Tree Learning for Zero-Shot Face Anti-Spoofing-
[pdf]
[video]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Yaojie and Stehouwer, Joel and Jourabloo, Amin and Liu, Xiaoming},
title = {Deep Tree Learning for Zero-Shot Face Anti-Spoofing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ArcFace: Additive Angular Margin Loss for Deep Face Recognition-
[pdf]
[video]
[bibtex]@InProceedings{Deng_2019_CVPR,
author = {Deng, Jiankang and Guo, Jia and Xue, Niannan and Zafeiriou, Stefanos},
title = {ArcFace: Additive Angular Margin Loss for Deep Face Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Joint Gait Representation via Quintuplet Loss Minimization-
[pdf]
[video]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Kaihao and Luo, Wenhan and Ma, Lin and Liu, Wei and Li, Hongdong},
title = {Learning Joint Gait Representation via Quintuplet Loss Minimization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Gait Recognition via Disentangled Representation Learning-
[pdf]
[video]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Ziyuan and Tran, Luan and Yin, Xi and Atoum, Yousef and Liu, Xiaoming and Wan, Jian and Wang, Nanxin},
title = {Gait Recognition via Disentangled Representation Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reversible GANs for Memory-Efficient Image-To-Image Translation-
[pdf]
[supp]
[bibtex]@InProceedings{Ouderaa_2019_CVPR,
author = {Ouderaa, Tycho F.A. van der and Worrall, Daniel E.},
title = {Reversible GANs for Memory-Efficient Image-To-Image Translation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Sensitive-Sample Fingerprinting of Deep Neural Networks-
[pdf]
[bibtex]@InProceedings{He_2019_CVPR,
author = {He, Zecheng and Zhang, Tianwei and Lee, Ruby},
title = {Sensitive-Sample Fingerprinting of Deep Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Soft Labels for Ordinal Regression-
[pdf]
[bibtex]@InProceedings{Diaz_2019_CVPR,
author = {Diaz, Raul and Marathe, Amit},
title = {Soft Labels for Ordinal Regression},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Cheng_2019_CVPR,
author = {Cheng, Hao and Lian, Dongze and Deng, Bowen and Gao, Shenghua and Tan, Tao and Geng, Yanlin},
title = {Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?-
[pdf]
[supp]
[bibtex]@InProceedings{Corneanu_2019_CVPR,
author = {Corneanu, Ciprian A. and Madadi, Meysam and Escalera, Sergio and Martinez, Aleix M.},
title = {What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning-
[pdf]
[bibtex]@InProceedings{Bhunia_2019_CVPR,
author = {Bhunia, Ayan Kumar and Das, Abhirup and Bhunia, Ankan Kumar and Kishore, Perla Sai Raj and Roy, Partha Pratim},
title = {Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adversarial Defense Through Network Profiling Based Path Extraction-
[pdf]
[supp]
[bibtex]@InProceedings{Qiu_2019_CVPR,
author = {Qiu, Yuxian and Leng, Jingwen and Guo, Cong and Chen, Quan and Li, Chao and Guo, Minyi and Zhu, Yuhao},
title = {Adversarial Defense Through Network Profiling Based Path Extraction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RENAS: Reinforced Evolutionary Neural Architecture Search-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Yukang and Meng, Gaofeng and Zhang, Qian and Xiang, Shiming and Huang, Chang and Mu, Lisen and Wang, Xinggang},
title = {RENAS: Reinforced Evolutionary Neural Architecture Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Co-Occurrence Neural Network-
[pdf]
[bibtex]@InProceedings{Shevlev_2019_CVPR,
author = {Shevlev, Irina and Avidan, Shai},
title = {Co-Occurrence Neural Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SpotTune: Transfer Learning Through Adaptive Fine-Tuning-
[pdf]
[bibtex]@InProceedings{Guo_2019_CVPR,
author = {Guo, Yunhui and Shi, Honghui and Kumar, Abhishek and Grauman, Kristen and Rosing, Tajana and Feris, Rogerio},
title = {SpotTune: Transfer Learning Through Adaptive Fine-Tuning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning-
[pdf]
[bibtex]@InProceedings{Yuan_2019_CVPR,
author = {Yuan, Tongtong and Deng, Weihong and Tang, Jian and Tang, Yinan and Chen, Binghui},
title = {Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Jiayang and Zhang, Weiming and Zhang, Yiwei and Hou, Dongdong and Liu, Yujia and Zha, Hongyue and Yu, Nenghai},
title = {Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs-
[pdf]
[bibtex]@InProceedings{Singh_2019_CVPR,
author = {Singh, Pravendra and Verma, Vinay Kumar and Rai, Piyush and Namboodiri, Vinay P.},
title = {HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Alcorn_2019_CVPR,
author = {Alcorn, Michael A. and Li, Qi and Gong, Zhitao and Wang, Chengfei and Mai, Long and Ku, Wei-Shinn and Nguyen, Anh},
title = {Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Blind Geometric Distortion Correction on Images Through Deep Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Xiaoyu and Zhang, Bo and Sander, Pedro V. and Liao, Jing},
title = {Blind Geometric Distortion Correction on Images Through Deep Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Instance-Level Meta Normalization-
[pdf]
[bibtex]@InProceedings{Jia_2019_CVPR,
author = {Jia, Songhao and Chen, Ding-Jie and Chen, Hwann-Tzong},
title = {Instance-Level Meta Normalization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Iterative Normalization: Beyond Standardization Towards Efficient Whitening-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2019_CVPR,
author = {Huang, Lei and Zhou, Yi and Zhu, Fan and Liu, Li and Shao, Ling},
title = {Iterative Normalization: Beyond Standardization Towards Efficient Whitening},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
On Learning Density Aware Embeddings-
[pdf]
[bibtex]@InProceedings{Ghosh_2019_CVPR,
author = {Ghosh, Soumyadeep and Singh, Richa and Vatsa, Mayank},
title = {On Learning Density Aware Embeddings},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Contrastive Adaptation Network for Unsupervised Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Kang_2019_CVPR,
author = {Kang, Guoliang and Jiang, Lu and Yang, Yi and Hauptmann, Alexander G.},
title = {Contrastive Adaptation Network for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Kumawat_2019_CVPR,
author = {Kumawat, Sudhakar and Raman, Shanmuganathan},
title = {LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Yiru and Shen, Xu and Jin, Zhongming and Lu, Hongtao and Hua, Xian-sheng},
title = {Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Shilin and Dong, Xin and Su, Hao},
title = {Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Distilling Object Detectors With Fine-Grained Feature Imitation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Tao and Yuan, Li and Zhang, Xiaopeng and Feng, Jiashi},
title = {Distilling Object Detectors With Fine-Grained Feature Imitation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure-
[pdf]
[supp]
[bibtex]@InProceedings{Ding_2019_CVPR,
author = {Ding, Xiaohan and Ding, Guiguang and Guo, Yuchen and Han, Jungong},
title = {Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Knockoff Nets: Stealing Functionality of Black-Box Models-
[pdf]
[supp]
[bibtex]@InProceedings{Orekondy_2019_CVPR,
author = {Orekondy, Tribhuvanesh and Schiele, Bernt and Fritz, Mario},
title = {Knockoff Nets: Stealing Functionality of Black-Box Models},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Embedding Learning With Discriminative Sampling Policy-
[pdf]
[bibtex]@InProceedings{Duan_2019_CVPR,
author = {Duan, Yueqi and Chen, Lei and Lu, Jiwen and Zhou, Jie},
title = {Deep Embedding Learning With Discriminative Sampling Policy},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hybrid Task Cascade for Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Kai and Pang, Jiangmiao and Wang, Jiaqi and Xiong, Yu and Li, Xiaoxiao and Sun, Shuyang and Feng, Wansen and Liu, Ziwei and Shi, Jianping and Ouyang, Wanli and Loy, Chen Change and Lin, Dahua},
title = {Hybrid Task Cascade for Instance Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations-
[pdf]
[bibtex]@InProceedings{Lee_2019_CVPR,
author = {Lee, Wonhee and Na, Joonil and Kim, Gunhee},
title = {Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Chao and Li, Guanbin and Xu, Ruijia and Chen, Tianshui and Wang, Meng and Lin, Liang},
title = {ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Learn Relation for Important People Detection in Still Images-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Wei-Hong and Hong, Fa-Ting and Zheng, Wei-Shi},
title = {Learning to Learn Relation for Important People Detection in Still Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition-
[pdf]
[bibtex]@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Heliang and Fu, Jianlong and Zha, Zheng-Jun and Luo, Jiebo},
title = {Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Xun and Han, Xintong and Huang, Weilin and Dong, Dengke and Scott, Matthew R.},
title = {Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Domain-Symmetric Networks for Adversarial Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yabin and Tang, Hui and Jia, Kui and Tan, Mingkui},
title = {Domain-Symmetric Networks for Adversarial Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
End-To-End Supervised Product Quantization for Image Search and Retrieval-
[pdf]
[supp]
[bibtex]@InProceedings{Klein_2019_CVPR,
author = {Klein, Benjamin and Wolf, Lior},
title = {End-To-End Supervised Product Quantization for Image Search and Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Learn From Noisy Labeled Data-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Junnan and Wong, Yongkang and Zhao, Qi and Kankanhalli, Mohan S.},
title = {Learning to Learn From Noisy Labeled Data},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DSFD: Dual Shot Face Detector-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Jian and Wang, Yabiao and Wang, Changan and Tai, Ying and Qian, Jianjun and Yang, Jian and Wang, Chengjie and Li, Jilin and Huang, Feiyue},
title = {DSFD: Dual Shot Face Detector},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Label Propagation for Deep Semi-Supervised Learning-
[pdf]
[bibtex]@InProceedings{Iscen_2019_CVPR,
author = {Iscen, Ahmet and Tolias, Giorgos and Avrithis, Yannis and Chum, Ondrej},
title = {Label Propagation for Deep Semi-Supervised Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Global Generalized Gaussian Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Qilong and Li, Peihua and Hu, Qinghua and Zhu, Pengfei and Zuo, Wangmeng},
title = {Deep Global Generalized Gaussian Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval-
[pdf]
[supp]
[bibtex]@InProceedings{Dutta_2019_CVPR,
author = {Dutta, Anjan and Akata, Zeynep},
title = {Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Context-Aware Crowd Counting-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Weizhe and Salzmann, Mathieu and Fua, Pascal},
title = {Context-Aware Crowd Counting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Detect-To-Retrieve: Efficient Regional Aggregation for Image Search-
[pdf]
[bibtex]@InProceedings{Teichmann_2019_CVPR,
author = {Teichmann, Marvin and Araujo, Andre and Zhu, Menglong and Sim, Jack},
title = {Detect-To-Retrieve: Efficient Regional Aggregation for Image Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Accurate One-Stage Object Detection With AP-Loss-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Kean and Li, Jianguo and Lin, Weiyao and See, John and Wang, Ji and Duan, Lingyu and Chen, Zhibo and He, Changwei and Zou, Junni},
title = {Towards Accurate One-Stage Object Detection With AP-Loss},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
On Exploring Undetermined Relationships for Visual Relationship Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zhan_2019_CVPR,
author = {Zhan, Yibing and Yu, Jun and Yu, Ting and Tao, Dacheng},
title = {On Exploring Undetermined Relationships for Visual Relationship Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Without Memorizing-
[pdf]
[bibtex]@InProceedings{Dhar_2019_CVPR,
author = {Dhar, Prithviraj and Singh, Rajat Vikram and Peng, Kuan-Chuan and Wu, Ziyan and Chellappa, Rama},
title = {Learning Without Memorizing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dynamic Recursive Neural Network-
[pdf]
[bibtex]@InProceedings{Guo_2019_CVPR,
author = {Guo, Qiushan and Yu, Zhipeng and Wu, Yichao and Liang, Ding and Qin, Haoyu and Yan, Junjie},
title = {Dynamic Recursive Neural Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Destruction and Construction Learning for Fine-Grained Image Recognition-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Yue and Bai, Yalong and Zhang, Wei and Mei, Tao},
title = {Destruction and Construction Learning for Fine-Grained Image Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Distraction-Aware Shadow Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Quanlong and Qiao, Xiaotian and Cao, Ying and Lau, Rynson W.H.},
title = {Distraction-Aware Shadow Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Label Image Recognition With Graph Convolutional Networks-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Zhao-Min and Wei, Xiu-Shen and Wang, Peng and Guo, Yanwen},
title = {Multi-Label Image Recognition With Graph Convolutional Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Wei and Liao, Shengcai and Ren, Weiqiang and Hu, Weidong and Yu, Yinan},
title = {High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection-
[pdf]
[bibtex]@InProceedings{Karlinsky_2019_CVPR,
author = {Karlinsky, Leonid and Shtok, Joseph and Harary, Sivan and Schwartz, Eli and Aides, Amit and Feris, Rogerio and Giryes, Raja and Bronstein, Alex M.},
title = {RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Ranked List Loss for Deep Metric Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Xinshao and Hua, Yang and Kodirov, Elyor and Hu, Guosheng and Garnier, Romain and Robertson, Neil M.},
title = {Ranked List Loss for Deep Metric Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Chi and Lin, Guosheng and Liu, Fayao and Yao, Rui and Shen, Chunhua},
title = {CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Precise Detection in Densely Packed Scenes-
[pdf]
[bibtex]@InProceedings{Goldman_2019_CVPR,
author = {Goldman, Eran and Herzig, Roei and Eisenschtat, Aviv and Goldberger, Jacob and Hassner, Tal},
title = {Precise Detection in Densely Packed Scenes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing-
[pdf]
[bibtex]@InProceedings{Qi_2019_CVPR,
author = {Qi, Mengshi and Wang, Yunhong and Qin, Jie and Li, Annan},
title = {KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks-
[pdf]
[bibtex]@InProceedings{Oh_2019_CVPR,
author = {Oh, Seoung Wug and Lee, Joon-Young and Xu, Ning and Kim, Seon Joo},
title = {Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast Interactive Object Annotation With Curve-GCN-
[pdf]
[bibtex]@InProceedings{Ling_2019_CVPR,
author = {Ling, Huan and Gao, Jun and Kar, Amlan and Chen, Wenzheng and Fidler, Sanja},
title = {Fast Interactive Object Annotation With Curve-GCN},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference-
[pdf]
[bibtex]@InProceedings{Lee_2019_CVPR,
author = {Lee, Jungbeom and Kim, Eunji and Lee, Sungmin and Lee, Jangho and Yoon, Sungroh},
title = {FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RVOS: End-To-End Recurrent Network for Video Object Segmentation-
[pdf]
[bibtex]@InProceedings{Ventura_2019_CVPR,
author = {Ventura, Carles and Bellver, Miriam and Girbau, Andreu and Salvador, Amaia and Marques, Ferran and Giro-i-Nieto, Xavier},
title = {RVOS: End-To-End Recurrent Network for Video Object Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepFlux for Skeletons in the Wild-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Yukang and Xu, Yongchao and Tsogkas, Stavros and Bai, Xiang and Dickinson, Sven and Siddiqi, Kaleem},
title = {DeepFlux for Skeletons in the Wild},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Interactive Image Segmentation via Backpropagating Refinement Scheme-
[pdf]
[bibtex]@InProceedings{Jang_2019_CVPR,
author = {Jang, Won-Dong and Kim, Chang-Su},
title = {Interactive Image Segmentation via Backpropagating Refinement Scheme},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Scene Parsing via Integrated Classification Model and Variance-Based Regularization-
[pdf]
[bibtex]@InProceedings{Shi_2019_CVPR,
author = {Shi, Hengcan and Li, Hongliang and Wu, Qingbo and Song, Zichen},
title = {Scene Parsing via Integrated Classification Model and Variance-Based Regularization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RAVEN: A Dataset for Relational and Analogical Visual REasoNing-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Chi and Gao, Feng and Jia, Baoxiong and Zhu, Yixin and Zhu, Song-Chun},
title = {RAVEN: A Dataset for Relational and Analogical Visual REasoNing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach-
[pdf]
[bibtex]@InProceedings{Xie_2019_CVPR,
author = {Xie, Wuyuan and Wang, Miaohui and Wei, Mingqiang and Jiang, Jianmin and Qin, Jing},
title = {Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images-
[pdf]
[bibtex]@InProceedings{Ge_2019_CVPR,
author = {Ge, Yuying and Zhang, Ruimao and Wang, Xiaogang and Tang, Xiaoou and Luo, Ping},
title = {DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion-
[pdf]
[supp]
[bibtex]@InProceedings{Kumar_2019_CVPR,
author = {Kumar, Suryansh},
title = {Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LVIS: A Dataset for Large Vocabulary Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Gupta_2019_CVPR,
author = {Gupta, Agrim and Dollar, Piotr and Girshick, Ross},
title = {LVIS: A Dataset for Large Vocabulary Instance Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast Object Class Labelling via Speech-
[pdf]
[bibtex]@InProceedings{Gygli_2019_CVPR,
author = {Gygli, Michael and Ferrari, Vittorio},
title = {Fast Object Class Labelling via Speech},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking-
[pdf]
[supp]
[bibtex]@InProceedings{Fan_2019_CVPR,
author = {Fan, Heng and Lin, Liting and Yang, Fan and Chu, Peng and Deng, Ge and Yu, Sijia and Bai, Hexin and Xu, Yong and Liao, Chunyuan and Ling, Haibin},
title = {LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Creative Flow+ Dataset-
[pdf]
[supp]
[bibtex]@InProceedings{Shugrina_2019_CVPR,
author = {Shugrina, Maria and Liang, Ziheng and Kar, Amlan and Li, Jiaman and Singh, Angad and Singh, Karan and Fidler, Sanja},
title = {Creative Flow+ Dataset},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration-
[pdf]
[supp]
[bibtex]@InProceedings{Tan_2019_CVPR,
author = {Tan, Shuhan and Jiao, Jiening and Zheng, Wei-Shi},
title = {Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Neurobiological Evaluation Metric for Neural Network Model Search-
[pdf]
[supp]
[bibtex]@InProceedings{Blanchard_2019_CVPR,
author = {Blanchard, Nathaniel and Kinnison, Jeffery and RichardWebster, Brandon and Bashivan, Pouya and Scheirer, Walter J.},
title = {A Neurobiological Evaluation Metric for Neural Network Model Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision-
[pdf]
[supp]
[bibtex]@InProceedings{Zaeemzadeh_2019_CVPR,
author = {Zaeemzadeh, Alireza and Joneidi, Mohsen and Rahnavard, Nazanin and Shah, Mubarak},
title = {Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Efficient Multi-Domain Learning by Covariance Normalization-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Yunsheng and Vasconcelos, Nuno},
title = {Efficient Multi-Domain Learning by Covariance Normalization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance-
[pdf]
[supp]
[bibtex]@InProceedings{Ye_2019_CVPR,
author = {Ye, Nanyang and Wolski, Krzysztof and Mantiuk, Rafal K.},
title = {Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Bayesian Perspective on the Deep Image Prior-
[pdf]
[supp]
[bibtex]@InProceedings{Cheng_2019_CVPR,
author = {Cheng, Zezhou and Gadelha, Matheus and Maji, Subhransu and Sheldon, Daniel},
title = {A Bayesian Perspective on the Deep Image Prior},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Song_2019_CVPR,
author = {Song, Xibin and Wang, Peng and Zhou, Dingfu and Zhu, Rui and Guan, Chenye and Dai, Yuchao and Su, Hao and Li, Hongdong and Yang, Ruigang},
title = {ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Jin and Lan, Xuguang and Liu, Yang and Wang, Le and Zheng, Nanning},
title = {Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Supervised Convolutional Subspace Clustering Network-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Junjian and Li, Chun-Guang and You, Chong and Qi, Xianbiao and Zhang, Honggang and Guo, Jun and Lin, Zhouchen},
title = {Self-Supervised Convolutional Subspace Clustering Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Scale Geometric Consistency Guided Multi-View Stereo-
[pdf]
[bibtex]@InProceedings{Xu_2019_CVPR,
author = {Xu, Qingshan and Tao, Wenbing},
title = {Multi-Scale Geometric Consistency Guided Multi-View Stereo},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Privacy Preserving Image-Based Localization-
[pdf]
[bibtex]@InProceedings{Speciale_2019_CVPR,
author = {Speciale, Pablo and Schonberger, Johannes L. and Kang, Sing Bing and Sinha, Sudipta N. and Pollefeys, Marc},
title = {Privacy Preserving Image-Based Localization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SimulCap : Single-View Human Performance Capture With Cloth Simulation-
[pdf]
[bibtex]@InProceedings{Yu_2019_CVPR,
author = {Yu, Tao and Zheng, Zerong and Zhong, Yuan and Zhao, Jianhui and Dai, Qionghai and Pons-Moll, Gerard and Liu, Yebin},
title = {SimulCap : Single-View Human Performance Capture With Cloth Simulation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hierarchical Deep Stereo Matching on High-Resolution Images-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2019_CVPR,
author = {Yang, Gengshan and Manela, Joshua and Happold, Michael and Ramanan, Deva},
title = {Hierarchical Deep Stereo Matching on High-Resolution Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference-
[pdf]
[supp]
[bibtex]@InProceedings{Yao_2019_CVPR,
author = {Yao, Yao and Luo, Zixin and Li, Shiwei and Shen, Tianwei and Fang, Tian and Quan, Long},
title = {Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Xiao and Dong, Yue and Peers, Pieter and Tong, Xin},
title = {Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
The Perfect Match: 3D Point Cloud Matching With Smoothed Densities-
[pdf]
[supp]
[bibtex]@InProceedings{Gojcic_2019_CVPR,
author = {Gojcic, Zan and Zhou, Caifa and Wegner, Jan D. and Wieser, Andreas},
title = {The Perfect Match: 3D Point Cloud Matching With Smoothed Densities},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Rui and Pizer, Stephen M. and Frahm, Jan-Michael},
title = {Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing-
[pdf]
[bibtex]@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Hengshuang and Jiang, Li and Fu, Chi-Wing and Jia, Jiaya},
title = {PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Scan2Mesh: From Unstructured Range Scans to 3D Meshes-
[pdf]
[supp]
[bibtex]@InProceedings{Dai_2019_CVPR,
author = {Dai, Angela and Niessner, Matthias},
title = {Scan2Mesh: From Unstructured Range Scans to 3D Meshes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Agresti_2019_CVPR,
author = {Agresti, Gianluca and Schaefer, Henrik and Sartor, Piergiorgio and Zanuttigh, Pietro},
title = {Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Independent Object Motion From Unlabelled Stereoscopic Videos-
[pdf]
[bibtex]@InProceedings{Cao_2019_CVPR,
author = {Cao, Zhe and Kar, Abhishek and Hane, Christian and Malik, Jitendra},
title = {Learning Independent Object Motion From Unlabelled Stereoscopic Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Single-Image Depth From Videos Using Quality Assessment Networks-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Weifeng and Qian, Shengyi and Deng, Jia},
title = {Learning Single-Image Depth From Videos Using Quality Assessment Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning 3D Human Dynamics From Video-
[pdf]
[supp]
[bibtex]@InProceedings{Kanazawa_2019_CVPR,
author = {Kanazawa, Angjoo and Zhang, Jason Y. and Felsen, Panna and Malik, Jitendra},
title = {Learning 3D Human Dynamics From Video},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Lending Orientation to Neural Networks for Cross-View Geo-Localization-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Liu and Li, Hongdong},
title = {Lending Orientation to Neural Networks for Cross-View Geo-Localization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Visual Localization by Learning Objects-Of-Interest Dense Match Regression-
[pdf]
[bibtex]@InProceedings{Weinzaepfel_2019_CVPR,
author = {Weinzaepfel, Philippe and Csurka, Gabriela and Cabon, Yohann and Humenberger, Martin},
title = {Visual Localization by Learning Objects-Of-Interest Dense Match Regression},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Wong_2019_CVPR,
author = {Wong, Alex and Soatto, Stefano},
title = {Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Face Parsing With RoI Tanh-Warping-
[pdf]
[bibtex]@InProceedings{Lin_2019_CVPR,
author = {Lin, Jinpeng and Yang, Hao and Chen, Dong and Zeng, Ming and Wen, Fang and Yuan, Lu},
title = {Face Parsing With RoI Tanh-Warping},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Person Articulated Tracking With Spatial and Temporal Embeddings-
[pdf]
[supp]
[bibtex]@InProceedings{Jin_2019_CVPR,
author = {Jin, Sheng and Liu, Wentao and Ouyang, Wanli and Qian, Chen},
title = {Multi-Person Articulated Tracking With Spatial and Temporal Embeddings},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information-
[pdf]
[bibtex]@InProceedings{Su_2019_CVPR,
author = {Su, Kai and Yu, Dongdong and Xu, Zhenqi and Geng, Xin and Wang, Changhu},
title = {Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Compact Embedding for Facial Expression Similarity-
[pdf]
[supp]
[bibtex]@InProceedings{Vemulapalli_2019_CVPR,
author = {Vemulapalli, Raviteja and Agarwala, Aseem},
title = {A Compact Embedding for Facial Expression Similarity},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep High-Resolution Representation Learning for Human Pose Estimation-
[pdf]
[bibtex]@InProceedings{Sun_2019_CVPR,
author = {Sun, Ke and Xiao, Bin and Liu, Dong and Wang, Jingdong},
title = {Deep High-Resolution Representation Learning for Human Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Feature Transfer Learning for Face Recognition With Under-Represented Data-
[pdf]
[supp]
[bibtex]@InProceedings{Yin_2019_CVPR,
author = {Yin, Xi and Yu, Xiang and Sohn, Kihyuk and Liu, Xiaoming and Chandraker, Manmohan},
title = {Feature Transfer Learning for Face Recognition With Under-Represented Data},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised 3D Pose Estimation With Geometric Self-Supervision-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Ching-Hang and Tyagi, Ambrish and Agrawal, Amit and Drover, Dylan and MV, Rohith and Stojanov, Stefan and Rehg, James M.},
title = {Unsupervised 3D Pose Estimation With Geometric Self-Supervision},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Liang_2019_CVPR,
author = {Liang, Junwei and Jiang, Lu and Niebles, Juan Carlos and Hauptmann, Alexander G. and Fei-Fei, Li},
title = {Peeking Into the Future: Predicting Future Person Activities and Locations in Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Re-Identification With Consistent Attentive Siamese Networks-
[pdf]
[bibtex]@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Meng and Karanam, Srikrishna and Wu, Ziyan and Radke, Richard J.},
title = {Re-Identification With Consistent Attentive Siamese Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
On the Continuity of Rotation Representations in Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2019_CVPR,
author = {Zhou, Yi and Barnes, Connelly and Lu, Jingwan and Yang, Jimei and Li, Hao},
title = {On the Continuity of Rotation Representations in Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Hur_2019_CVPR,
author = {Hur, Junhwa and Roth, Stefan},
title = {Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Inverse Discriminative Networks for Handwritten Signature Verification-
[pdf]
[bibtex]@InProceedings{Wei_2019_CVPR,
author = {Wei, Ping and Li, Huan and Hu, Ping},
title = {Inverse Discriminative Networks for Handwritten Signature Verification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces-
[pdf]
[bibtex]@InProceedings{Mu_2019_CVPR,
author = {Mu, Guodong and Huang, Di and Hu, Guosheng and Sun, Jia and Wang, Yunhong},
title = {Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ROI Pooled Correlation Filters for Visual Tracking-
[pdf]
[bibtex]@InProceedings{Sun_2019_CVPR,
author = {Sun, Yuxuan and Sun, Chong and Wang, Dong and He, You and Lu, Huchuan},
title = {ROI Pooled Correlation Filters for Visual Tracking},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Video Inpainting-
[pdf]
[bibtex]@InProceedings{Kim_2019_CVPR,
author = {Kim, Dahun and Woo, Sanghyun and Lee, Joon-Young and Kweon, In So},
title = {Deep Video Inpainting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis-
[pdf]
[bibtex]@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Minfeng and Pan, Pingbo and Chen, Wei and Yang, Yi},
title = {DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors-
[pdf]
[bibtex]@InProceedings{Hoshen_2019_CVPR,
author = {Hoshen, Yedid and Li, Ke and Malik, Jitendra},
title = {Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mixture Density Generative Adversarial Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Eghbal-zadeh_2019_CVPR,
author = {Eghbal-zadeh, Hamid and Zellinger, Werner and Widmer, Gerhard},
title = {Mixture Density Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Fang and Deng, Xiaoming and Lai, Yu-Kun and Liu, Yong-Jin and Ma, Cuixia and Wang, Hongan},
title = {SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Foreground-Aware Image Inpainting-
[pdf]
[supp]
[bibtex]@InProceedings{Xiong_2019_CVPR,
author = {Xiong, Wei and Yu, Jiahui and Lin, Zhe and Yang, Jimei and Lu, Xin and Barnes, Connelly and Luo, Jiebo},
title = {Foreground-Aware Image Inpainting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation-
[pdf]
[supp]
[bibtex]@InProceedings{Tomei_2019_CVPR,
author = {Tomei, Matteo and Cornia, Marcella and Baraldi, Lorenzo and Cucchiara, Rita},
title = {Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yu and Zou, Dongqing and Ren, Jimmy S. and Jiang, Zhe and Chen, Xiaohao},
title = {Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DynTypo: Example-Based Dynamic Text Effects Transfer-
[pdf]
[bibtex]@InProceedings{Men_2019_CVPR,
author = {Men, Yifang and Lian, Zhouhui and Tang, Yingmin and Xiao, Jianguo},
title = {DynTypo: Example-Based Dynamic Text Effects Transfer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Arbitrary Style Transfer With Style-Attentional Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Park_2019_CVPR,
author = {Park, Dae Young and Lee, Kwang Hee},
title = {Arbitrary Style Transfer With Style-Attentional Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Typography With Decor: Intelligent Text Style Transfer-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Wenjing and Liu, Jiaying and Yang, Shuai and Guo, Zongming},
title = {Typography With Decor: Intelligent Text Style Transfer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion-
[pdf]
[supp]
[bibtex]@InProceedings{Sarmad_2019_CVPR,
author = {Sarmad, Muhammad and Lee, Hyunjoo Jenny and Kim, Young Min},
title = {RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Photo Wake-Up: 3D Character Animation From a Single Photo-
[pdf]
[supp]
[bibtex]@InProceedings{Weng_2019_CVPR,
author = {Weng, Chung-Yi and Curless, Brian and Kemelmacher-Shlizerman, Ira},
title = {Photo Wake-Up: 3D Character Animation From a Single Photo},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality-
[pdf]
[supp]
[bibtex]@InProceedings{LeGendre_2019_CVPR,
author = {LeGendre, Chloe and Ma, Wan-Chun and Fyffe, Graham and Flynn, John and Charbonnel, Laurent and Busch, Jay and Debevec, Paul},
title = {DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Iterative Residual CNNs for Burst Photography Applications-
[pdf]
[supp]
[bibtex]@InProceedings{Kokkinos_2019_CVPR,
author = {Kokkinos, Filippos and Lefkimmiatis, Stamatis},
title = {Iterative Residual CNNs for Burst Photography Applications},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Implicit Fields for Generative Shape Modeling-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Zhiqin and Zhang, Hao},
title = {Learning Implicit Fields for Generative Shape Modeling},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reliable and Efficient Image Cropping: A Grid Anchor Based Approach-
[pdf]
[bibtex]@InProceedings{Zeng_2019_CVPR,
author = {Zeng, Hui and Li, Lida and Cao, Zisheng and Zhang, Lei},
title = {Reliable and Efficient Image Cropping: A Grid Anchor Based Approach},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Patch-Based Progressive 3D Point Set Upsampling-
[pdf]
[supp]
[bibtex]@InProceedings{Yifan_2019_CVPR,
author = {Yifan, Wang and Wu, Shihao and Huang, Hui and Cohen-Or, Daniel and Sorkine-Hornung, Olga},
title = {Patch-Based Progressive 3D Point Set Upsampling},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Wenguan and Shen, Jianbing and Cheng, Ming-Ming and Shao, Ling},
title = {An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Hongguang and Dai, Yuchao and Li, Hongdong and Koniusz, Piotr},
title = {Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Turn a Silicon Camera Into an InGaAs Camera-
[pdf]
[bibtex]@InProceedings{Lv_2019_CVPR,
author = {Lv, Feifan and Zheng, Yinqiang and Zhang, Bohan and Lu, Feng},
title = {Turn a Silicon Camera Into an InGaAs Camera},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms-
[pdf]
[bibtex]@InProceedings{Lu_2019_CVPR,
author = {Lu, Canyi and Peng, Xi and Wei, Yunchao},
title = {Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Joint Representative Selection and Feature Learning: A Semi-Supervised Approach-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Suchen and Meng, Jingjing and Yuan, Junsong and Tan, Yap-Peng},
title = {Joint Representative Selection and Feature Learning: A Semi-Supervised Approach},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
The Domain Transform Solver-
[pdf]
[supp]
[bibtex]@InProceedings{Bapat_2019_CVPR,
author = {Bapat, Akash and Frahm, Jan-Michael},
title = {The Domain Transform Solver},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Lu and Zhang, Jianming and Lin, Zhe and Lu, Huchuan and He, You},
title = {CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring-
[pdf]
[bibtex]@InProceedings{Pan_2019_CVPR,
author = {Pan, Liyuan and Hartley, Richard and Liu, Miaomiao and Dai, Yuchao},
title = {Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hierarchical Discrete Distribution Decomposition for Match Density Estimation-
[pdf]
[bibtex]@InProceedings{Yin_2019_CVPR,
author = {Yin, Zhichao and Darrell, Trevor and Yu, Fisher},
title = {Hierarchical Discrete Distribution Decomposition for Match Density Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FOCNet: A Fractional Optimal Control Network for Image Denoising-
[pdf]
[bibtex]@InProceedings{Jia_2019_CVPR,
author = {Jia, Xixi and Liu, Sanyang and Feng, Xiangchu and Zhang, Lei},
title = {FOCNet: A Fractional Optimal Control Network for Image Denoising},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Orthogonal Decomposition Network for Pixel-Wise Binary Classification-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Chang and Wan, Fang and Ke, Wei and Xiao, Zhuowei and Yao, Yuan and Zhang, Xiaosong and Ye, Qixiang},
title = {Orthogonal Decomposition Network for Pixel-Wise Binary Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Source Weak Supervision for Saliency Detection-
[pdf]
[bibtex]@InProceedings{Zeng_2019_CVPR,
author = {Zeng, Yu and Zhuge, Yunzhi and Lu, Huchuan and Zhang, Lihe and Qian, Mingyang and Yu, Yizhou},
title = {Multi-Source Weak Supervision for Saliency Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples-
[pdf]
[bibtex]@InProceedings{Jia_2019_CVPR,
author = {Jia, Xiaojun and Wei, Xingxing and Cao, Xiaochun and Foroosh, Hassan},
title = {ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Combinatorial Persistency Criteria for Multicut and Max-Cut-
[pdf]
[supp]
[bibtex]@InProceedings{Lange_2019_CVPR,
author = {Lange, Jan-Hendrik and Andres, Bjoern and Swoboda, Paul},
title = {Combinatorial Persistency Criteria for Multicut and Max-Cut},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
S4Net: Single Stage Salient-Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Fan_2019_CVPR,
author = {Fan, Ruochen and Cheng, Ming-Ming and Hou, Qibin and Mu, Tai-Jiang and Wang, Jingdong and Hu, Shi-Min},
title = {S4Net: Single Stage Salient-Instance Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem-
[pdf]
[supp]
[bibtex]@InProceedings{Yuan_2019_CVPR,
author = {Yuan, Ganzhao and Shen, Li and Zheng, Wei-Shi},
title = {A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Polynomial Representation for Persistence Diagram-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Zhichao and Li, Qian and Li, Gang and Xu, Guandong},
title = {Polynomial Representation for Persistence Diagram},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks-
[pdf]
[bibtex]@InProceedings{Jiang_2019_CVPR,
author = {Jiang, Xiaolong and Xiao, Zehao and Zhang, Baochang and Zhen, Xiantong and Cao, Xianbin and Doermann, David and Shao, Ling},
title = {Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Shiwei and Luo, Zixin and Zhen, Mingmin and Yao, Yao and Shen, Tianwei and Fang, Tian and Quan, Long},
title = {Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Surface Normal Estimation With Hierarchical RGB-D Fusion-
[pdf]
[supp]
[bibtex]@InProceedings{Zeng_2019_CVPR,
author = {Zeng, Jin and Tong, Yanfeng and Huang, Yunmu and Yan, Qiong and Sun, Wenxiu and Chen, Jing and Wang, Yongtian},
title = {Deep Surface Normal Estimation With Hierarchical RGB-D Fusion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Knowledge-Embedded Routing Network for Scene Graph Generation-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Tianshui and Yu, Weihao and Chen, Riquan and Lin, Liang},
title = {Knowledge-Embedded Routing Network for Scene Graph Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
An End-To-End Network for Panoptic Segmentation-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Huanyu and Peng, Chao and Yu, Changqian and Wang, Jingbo and Liu, Xu and Yu, Gang and Jiang, Wei},
title = {An End-To-End Network for Panoptic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models-
[pdf]
[supp]
[bibtex]@InProceedings{Ritchie_2019_CVPR,
author = {Ritchie, Daniel and Wang, Kai and Lin, Yu-An},
title = {Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Marginalized Latent Semantic Encoder for Zero-Shot Learning-
[pdf]
[bibtex]@InProceedings{Ding_2019_CVPR,
author = {Ding, Zhengming and Liu, Hongfu},
title = {Marginalized Latent Semantic Encoder for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation-
[pdf]
[bibtex]@InProceedings{Spencer_2019_CVPR,
author = {Spencer, Jaime and Bowden, Richard and Hadfield, Simon},
title = {Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature-
[pdf]
[bibtex]@InProceedings{Ye_2019_CVPR,
author = {Ye, Mang and Zhang, Xu and Yuen, Pong C. and Chang, Shih-Fu},
title = {Unsupervised Embedding Learning via Invariant and Spreading Instance Feature},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AOGNets: Compositional Grammatical Architectures for Deep Learning-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Xilai and Song, Xi and Wu, Tianfu},
title = {AOGNets: Compositional Grammatical Architectures for Deep Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Yiqun and Guo, Jianwei and Yan, Dong-Ming and Wang, Kai and Zhang, Xiaopeng},
title = {A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Context and Attribute Grounded Dense Captioning-
[pdf]
[bibtex]@InProceedings{Yin_2019_CVPR,
author = {Yin, Guojun and Sheng, Lu and Liu, Bin and Yu, Nenghai and Wang, Xiaogang and Shao, Jing},
title = {Context and Attribute Grounded Dense Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Chu_2019_CVPR,
author = {Chu, Wen-Hsuan and Li, Yu-Jhe and Chang, Jing-Cheng and Wang, Yu-Chiang Frank},
title = {Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Interpreting CNNs via Decision Trees-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Quanshi and Yang, Yu and Ma, Haotian and Wu, Ying Nian},
title = {Interpreting CNNs via Decision Trees},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning-
[pdf]
[bibtex]@InProceedings{Kim_2019_CVPR,
author = {Kim, Dong-Jin and Choi, Jinsoo and Oh, Tae-Hyun and Kweon, In So},
title = {Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Modular Co-Attention Networks for Visual Question Answering-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2019_CVPR,
author = {Yu, Zhou and Yu, Jun and Cui, Yuhao and Tao, Dacheng and Tian, Qi},
title = {Deep Modular Co-Attention Networks for Visual Question Answering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Synthesizing Environment-Aware Activities via Activity Sketches-
[pdf]
[bibtex]@InProceedings{Liao_2019_CVPR,
author = {Liao, Yuan-Hong and Puig, Xavier and Boben, Marko and Torralba, Antonio and Fidler, Sanja},
title = {Synthesizing Environment-Aware Activities via Activity Sketches},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Critical N-Step Training for Image Captioning-
[pdf]
[bibtex]@InProceedings{Gao_2019_CVPR,
author = {Gao, Junlong and Wang, Shiqi and Wang, Shanshe and Ma, Siwei and Gao, Wen},
title = {Self-Critical N-Step Training for Image Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Target Embodied Question Answering-
[pdf]
[bibtex]@InProceedings{Yu_2019_CVPR,
author = {Yu, Licheng and Chen, Xinlei and Gkioxari, Georgia and Bansal, Mohit and Berg, Tamara L. and Batra, Dhruv},
title = {Multi-Target Embodied Question Answering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Visual Question Answering as Reading Comprehension-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Hui and Wang, Peng and Shen, Chunhua and Hengel, Anton van den},
title = {Visual Question Answering as Reading Comprehension},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
StoryGAN: A Sequential Conditional GAN for Story Visualization-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Yitong and Gan, Zhe and Shen, Yelong and Liu, Jingjing and Cheng, Yu and Wu, Yuexin and Carin, Lawrence and Carlson, David and Gao, Jianfeng},
title = {StoryGAN: A Sequential Conditional GAN for Story Visualization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion-
[pdf]
[supp]
[bibtex]@InProceedings{Cheng_2019_CVPR,
author = {Cheng, Xuelian and Zhong, Yiran and Dai, Yuchao and Ji, Pan and Li, Hongdong},
title = {Noise-Aware Unsupervised Deep Lidar-Stereo Fusion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Versatile Multiple Choice Learning and Its Application to Vision Computing-
[pdf]
[bibtex]@InProceedings{Tian_2019_CVPR,
author = {Tian, Kai and Xu, Yi and Zhou, Shuigeng and Guan, Jihong},
title = {Versatile Multiple Choice Learning and Its Application to Vision Computing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Yanxiang and Du, Bowen and Shen, Yiran and Wu, Kai and Zhao, Guangrong and Sun, Jianguo and Wen, Hongkai},
title = {EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images-
[pdf]
[bibtex]@InProceedings{Cui_2019_CVPR,
author = {Cui, Zhiming and Li, Changjian and Wang, Wenping},
title = {ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Modularized Textual Grounding for Counterfactual Resilience-
[pdf]
[supp]
[bibtex]@InProceedings{Fang_2019_CVPR,
author = {Fang, Zhiyuan and Kong, Shu and Fowlkes, Charless and Yang, Yezhou},
title = {Modularized Textual Grounding for Counterfactual Resilience},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Lu_2019_CVPR,
author = {Lu, Weixin and Zhou, Yao and Wan, Guowei and Hou, Shenhua and Song, Shiyu},
title = {L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Panoptic Feature Pyramid Networks-
[pdf]
[video]
[bibtex]@InProceedings{Kirillov_2019_CVPR,
author = {Kirillov, Alexander and Girshick, Ross and He, Kaiming and Dollar, Piotr},
title = {Panoptic Feature Pyramid Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mask Scoring R-CNN-
[pdf]
[video]
[bibtex]@InProceedings{Huang_2019_CVPR,
author = {Huang, Zhaojin and Huang, Lichao and Gong, Yongchao and Huang, Chang and Wang, Xinggang},
title = {Mask Scoring R-CNN},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Xu_2019_CVPR,
author = {Xu, Hang and Jiang, Chenhan and Liang, Xiaodan and Lin, Liang and Li, Zhenguo},
title = {Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cross-Modality Personalization for Retrieval-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Murrugarra-Llerena_2019_CVPR,
author = {Murrugarra-Llerena, Nils and Kovashka, Adriana},
title = {Cross-Modality Personalization for Retrieval},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Composing Text and Image for Image Retrieval - an Empirical Odyssey-
[pdf]
[video]
[bibtex]@InProceedings{Vo_2019_CVPR,
author = {Vo, Nam and Jiang, Lu and Sun, Chen and Murphy, Kevin and Li, Li-Jia and Fei-Fei, Li and Hays, James},
title = {Composing Text and Image for Image Retrieval - an Empirical Odyssey},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation-
[pdf]
[video]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Xiaobing and Jiang, Yingying and Luo, Zhenbo and Liu, Cheng-Lin and Choi, Hyunsoo and Kim, Sungjin},
title = {Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adaptive NMS: Refining Pedestrian Detection in a Crowd-
[pdf]
[video]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Songtao and Huang, Di and Wang, Yunhong},
title = {Adaptive NMS: Refining Pedestrian Detection in a Crowd},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Point in, Box Out: Beyond Counting Persons in Crowds-
[pdf]
[video]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Yuting and Shi, Miaojing and Zhao, Qijun and Wang, Xiaofang},
title = {Point in, Box Out: Beyond Counting Persons in Crowds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Locating Objects Without Bounding Boxes-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Ribera_2019_CVPR,
author = {Ribera, Javier and Guera, David and Chen, Yuhao and Delp, Edward J.},
title = {Locating Objects Without Bounding Boxes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery-
[pdf]
[video]
[bibtex]@InProceedings{Singh_2019_CVPR,
author = {Singh, Krishna Kumar and Ojha, Utkarsh and Lee, Yong Jae},
title = {FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification-
[pdf]
[video]
[bibtex]@InProceedings{Wu_2019_CVPR,
author = {Wu, Si and Li, Jichang and Liu, Cheng and Yu, Zhiwen and Wong, Hau-San},
title = {Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Niitani_2019_CVPR,
author = {Niitani, Yusuke and Akiba, Takuya and Kerola, Tommi and Ogawa, Toru and Sano, Shotaro and Suzuki, Shuji},
title = {Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Curls & Whey: Boosting Black-Box Adversarial Attacks-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Shi_2019_CVPR,
author = {Shi, Yucheng and Wang, Siyu and Han, Yahong},
title = {Curls & Whey: Boosting Black-Box Adversarial Attacks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Barrage of Random Transforms for Adversarially Robust Defense-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Raff_2019_CVPR,
author = {Raff, Edward and Sylvester, Jared and Forsyth, Steven and McLean, Mark},
title = {Barrage of Random Transforms for Adversarially Robust Defense},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Aggregation Cross-Entropy for Sequence Recognition-
[pdf]
[video]
[bibtex]@InProceedings{Xie_2019_CVPR,
author = {Xie, Zecheng and Huang, Yaoxiong and Zhu, Yuanzhi and Jin, Lianwen and Liu, Yuliang and Xie, Lele},
title = {Aggregation Cross-Entropy for Sequence Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Alfassy_2019_CVPR,
author = {Alfassy, Amit and Karlinsky, Leonid and Aides, Amit and Shtok, Joseph and Harary, Sivan and Feris, Rogerio and Giryes, Raja and Bronstein, Alex M.},
title = {LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Few-Shot Learning With Localization in Realistic Settings-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Wertheimer_2019_CVPR,
author = {Wertheimer, Davis and Hariharan, Bharath},
title = {Few-Shot Learning With Localization in Realistic Settings},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Mancini_2019_CVPR,
author = {Mancini, Massimiliano and Bulo, Samuel Rota and Caputo, Barbara and Ricci, Elisa},
title = {AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Grounded Video Description-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zhou_2019_CVPR,
author = {Zhou, Luowei and Kalantidis, Yannis and Chen, Xinlei and Corso, Jason J. and Rohrbach, Marcus},
title = {Grounded Video Description},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Streamlined Dense Video Captioning-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Mun_2019_CVPR,
author = {Mun, Jonghwan and Yang, Linjie and Ren, Zhou and Xu, Ning and Han, Bohyung},
title = {Streamlined Dense Video Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adversarial Inference for Multi-Sentence Video Description-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Park_2019_CVPR,
author = {Park, Jae Sung and Rohrbach, Marcus and Darrell, Trevor and Rohrbach, Anna},
title = {Adversarial Inference for Multi-Sentence Video Description},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Wu_2019_CVPR,
author = {Wu, Hao and Mao, Jiayuan and Zhang, Yufeng and Jiang, Yuning and Li, Lei and Sun, Weiwei and Ma, Wei-Ying},
title = {Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Compose Dynamic Tree Structures for Visual Contexts-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Tang_2019_CVPR,
author = {Tang, Kaihua and Zhang, Hanwang and Wu, Baoyuan and Luo, Wenhan and Liu, Wei},
title = {Learning to Compose Dynamic Tree Structures for Visual Contexts},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Xin and Huang, Qiuyuan and Celikyilmaz, Asli and Gao, Jianfeng and Shen, Dinghan and Wang, Yuan-Fang and Wang, William Yang and Zhang, Lei},
title = {Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering-
[pdf]
[video]
[bibtex]@InProceedings{Gao_2019_CVPR,
author = {Gao, Peng and Jiang, Zhengkai and You, Haoxuan and Lu, Pan and Hoi, Steven C. H. and Wang, Xiaogang and Li, Hongsheng},
title = {Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cycle-Consistency for Robust Visual Question Answering-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Shah_2019_CVPR,
author = {Shah, Meet and Chen, Xinlei and Rohrbach, Marcus and Parikh, Devi},
title = {Cycle-Consistency for Robust Visual Question Answering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Embodied Question Answering in Photorealistic Environments With Point Cloud Perception-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Wijmans_2019_CVPR,
author = {Wijmans, Erik and Datta, Samyak and Maksymets, Oleksandr and Das, Abhishek and Gkioxari, Georgia and Lee, Stefan and Essa, Irfan and Parikh, Devi and Batra, Dhruv},
title = {Embodied Question Answering in Photorealistic Environments With Point Cloud Perception},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reasoning Visual Dialogs With Structural and Partial Observations-
[pdf]
[video]
[bibtex]@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Zilong and Wang, Wenguan and Qi, Siyuan and Zhu, Song-Chun},
title = {Reasoning Visual Dialogs With Structural and Partial Observations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Recursive Visual Attention in Visual Dialog-
[pdf]
[video]
[bibtex]@InProceedings{Niu_2019_CVPR,
author = {Niu, Yulei and Zhang, Hanwang and Zhang, Manli and Zhang, Jianhong and Lu, Zhiwu and Wen, Ji-Rong},
title = {Recursive Visual Attention in Visual Dialog},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Two Body Problem: Collaborative Visual Task Completion-
[pdf]
[video]
[bibtex]@InProceedings{Jain_2019_CVPR,
author = {Jain, Unnat and Weihs, Luca and Kolve, Eric and Rastegari, Mohammad and Lazebnik, Svetlana and Farhadi, Ali and Schwing, Alexander G. and Kembhavi, Aniruddha},
title = {Two Body Problem: Collaborative Visual Task Completion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Hudson_2019_CVPR,
author = {Hudson, Drew A. and Manning, Christopher D.},
title = {GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Text2Scene: Generating Compositional Scenes From Textual Descriptions-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Tan_2019_CVPR,
author = {Tan, Fuwen and Feng, Song and Ordonez, Vicente},
title = {Text2Scene: Generating Compositional Scenes From Textual Descriptions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
From Recognition to Cognition: Visual Commonsense Reasoning-
[pdf]
[supp]
[bibtex]@InProceedings{Zellers_2019_CVPR,
author = {Zellers, Rowan and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},
title = {From Recognition to Cognition: Visual Commonsense Reasoning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Ma_2019_CVPR,
author = {Ma, Chih-Yao and Wu, Zuxuan and AlRegib, Ghassan and Xiong, Caiming and Kira, Zsolt},
title = {The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Ke_2019_CVPR,
author = {Ke, Liyiming and Li, Xiujun and Bisk, Yonatan and Holtzman, Ari and Gan, Zhe and Liu, Jingjing and Gao, Jianfeng and Choi, Yejin and Srinivasa, Siddhartha},
title = {Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Wortsman_2019_CVPR,
author = {Wortsman, Mitchell and Ehsani, Kiana and Rastegari, Mohammad and Farhadi, Ali and Mottaghi, Roozbeh},
title = {Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
High Flux Passive Imaging With Single-Photon Sensors-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Ingle_2019_CVPR,
author = {Ingle, Atul and Velten, Andreas and Gupta, Mohit},
title = {High Flux Passive Imaging With Single-Photon Sensors},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Photon-Flooded Single-Photon 3D Cameras-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Gupta_2019_CVPR,
author = {Gupta, Anant and Ingle, Atul and Velten, Andreas and Gupta, Mohit},
title = {Photon-Flooded Single-Photon 3D Cameras},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Acoustic Non-Line-Of-Sight Imaging-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Lindell_2019_CVPR,
author = {Lindell, David B. and Wetzstein, Gordon and Koltun, Vladlen},
title = {Acoustic Non-Line-Of-Sight Imaging},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Steady-State Non-Line-Of-Sight Imaging-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Wenzheng and Daneau, Simon and Mannan, Fahim and Heide, Felix},
title = {Steady-State Non-Line-Of-Sight Imaging},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Xin_2019_CVPR,
author = {Xin, Shumian and Nousias, Sotiris and Kutulakos, Kiriakos N. and Sankaranarayanan, Aswin C. and Narasimhan, Srinivasa G. and Gkioulekas, Ioannis},
title = {A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
End-To-End Projector Photometric Compensation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Huang_2019_CVPR,
author = {Huang, Bingyao and Ling, Haibin},
title = {End-To-End Projector Photometric Compensation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera-
[pdf]
[video]
[bibtex]@InProceedings{Pan_2019_CVPR,
author = {Pan, Liyuan and Scheerlinck, Cedric and Yu, Xin and Hartley, Richard and Liu, Miaomiao and Dai, Yuchao},
title = {Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bringing Alive Blurred Moments-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Purohit_2019_CVPR,
author = {Purohit, Kuldeep and Shah, Anshul and Rajagopalan, A. N.},
title = {Bringing Alive Blurred Moments},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Synthesize Motion Blur-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Brooks_2019_CVPR,
author = {Brooks, Tim and Barron, Jonathan T.},
title = {Learning to Synthesize Motion Blur},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Underexposed Photo Enhancement Using Deep Illumination Estimation-
[pdf]
[video]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Ruixing and Zhang, Qing and Fu, Chi-Wing and Shen, Xiaoyong and Zheng, Wei-Shi and Jia, Jiaya},
title = {Underexposed Photo Enhancement Using Deep Illumination Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Blind Visual Motif Removal From a Single Image-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Hertz_2019_CVPR,
author = {Hertz, Amir and Fogel, Sharon and Hanocka, Rana and Giryes, Raja and Cohen-Or, Daniel},
title = {Blind Visual Motif Removal From a Single Image},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{He_2019_CVPR,
author = {He, Wei and Yao, Quanming and Li, Chao and Yokoya, Naoto and Zhao, Qibin},
title = {Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neural Rerendering in the Wild-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Meshry_2019_CVPR,
author = {Meshry, Moustafa and Goldman, Dan B. and Khamis, Sameh and Hoppe, Hugues and Pandey, Rohit and Snavely, Noah and Martin-Brualla, Ricardo},
title = {Neural Rerendering in the Wild},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GeoNet: Deep Geodesic Networks for Point Cloud Analysis-
[pdf]
[video]
[bibtex]@InProceedings{He_2019_CVPR,
author = {He, Tong and Huang, Haibin and Yi, Li and Zhou, Yuqian and Wu, Chihao and Wang, Jue and Soatto, Stefano},
title = {GeoNet: Deep Geodesic Networks for Point Cloud Analysis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MeshAdv: Adversarial Meshes for Visual Recognition-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Xiao_2019_CVPR,
author = {Xiao, Chaowei and Yang, Dawei and Li, Bo and Deng, Jia and Liu, Mingyan},
title = {MeshAdv: Adversarial Meshes for Visual Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast Spatially-Varying Indoor Lighting Estimation-
[pdf]
[video]
[bibtex]@InProceedings{Garon_2019_CVPR,
author = {Garon, Mathieu and Sunkavalli, Kalyan and Hadap, Sunil and Carr, Nathan and Lalonde, Jean-Francois},
title = {Fast Spatially-Varying Indoor Lighting Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neural Illumination: Lighting Prediction for Indoor Environments-
[pdf]
[video]
[bibtex]@InProceedings{Song_2019_CVPR,
author = {Song, Shuran and Funkhouser, Thomas},
title = {Neural Illumination: Lighting Prediction for Indoor Environments},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Sky Modeling for Single Image Outdoor Lighting Estimation-
[pdf]
[video]
[bibtex]@InProceedings{Hold-Geoffroy_2019_CVPR,
author = {Hold-Geoffroy, Yannick and Athawale, Akshaya and Lalonde, Jean-Francois},
title = {Deep Sky Modeling for Single Image Outdoor Lighting Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bidirectional Learning for Domain Adaptation of Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Yunsheng and Yuan, Lu and Vasconcelos, Nuno},
title = {Bidirectional Learning for Domain Adaptation of Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Enhanced Bayesian Compression via Deep Reinforcement Learning-
[pdf]
[bibtex]@InProceedings{Yuan_2019_CVPR,
author = {Yuan, Xin and Ren, Liangliang and Lu, Jiwen and Zhou, Jie},
title = {Enhanced Bayesian Compression via Deep Reinforcement Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Strong-Weak Distribution Alignment for Adaptive Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Saito_2019_CVPR,
author = {Saito, Kuniaki and Ushiku, Yoshitaka and Harada, Tatsuya and Saenko, Kate},
title = {Strong-Weak Distribution Alignment for Adaptive Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MFAS: Multimodal Fusion Architecture Search-
[pdf]
[bibtex]@InProceedings{Perez-Rua_2019_CVPR,
author = {Perez-Rua, Juan-Manuel and Vielzeuf, Valentin and Pateux, Stephane and Baccouche, Moez and Jurie, Frederic},
title = {MFAS: Multimodal Fusion Architecture Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Disentangling Adversarial Robustness and Generalization-
[pdf]
[supp]
[bibtex]@InProceedings{Stutz_2019_CVPR,
author = {Stutz, David and Hein, Matthias and Schiele, Bernt},
title = {Disentangling Adversarial Robustness and Generalization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness-
[pdf]
[supp]
[bibtex]@InProceedings{Theagarajan_2019_CVPR,
author = {Theagarajan, Rajkumar and Chen, Ming and Bhanu, Bir and Zhang, Jing},
title = {ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deeply-Supervised Knowledge Synergy-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2019_CVPR,
author = {Sun, Dawei and Yao, Anbang and Zhou, Aojun and Zhao, Hao},
title = {Deeply-Supervised Knowledge Synergy},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Xing and Suganuma, Masanori and Sun, Zhun and Okatani, Takayuki},
title = {Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels-
[pdf]
[bibtex]@InProceedings{Yi_2019_CVPR,
author = {Yi, Kun and Wu, Jianxin},
title = {Probabilistic End-To-End Noise Correction for Learning With Noisy Labels},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attention-Guided Unified Network for Panoptic Segmentation-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Yanwei and Chen, Xinze and Zhu, Zheng and Xie, Lingxi and Huang, Guan and Du, Dalong and Wang, Xingang},
title = {Attention-Guided Unified Network for Panoptic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Ghiasi_2019_CVPR,
author = {Ghiasi, Golnaz and Lin, Tsung-Yi and Le, Quoc V.},
title = {NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Jiashi and Qi, Qi and Wang, Jingyu and Ge, Ce and Li, Yujian and Yue, Zhangzhang and Sun, Haifeng},
title = {OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantically Aligned Bias Reducing Zero Shot Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Paul_2019_CVPR,
author = {Paul, Akanksha and Krishnan, Narayanan C. and Munjal, Prateek},
title = {Semantically Aligned Bias Reducing Zero Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Feature Space Perturbations Yield More Transferable Adversarial Examples-
[pdf]
[supp]
[bibtex]@InProceedings{Inkawhich_2019_CVPR,
author = {Inkawhich, Nathan and Wen, Wei and Li, Hai (Helen) and Chen, Yiran},
title = {Feature Space Perturbations Yield More Transferable Adversarial Examples},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Jack_2019_CVPR,
author = {Jack, Dominic and Maire, Frederic and Shirazi, Sareh and Eriksson, Anders},
title = {IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Accelerating Convolutional Neural Networks via Activation Map Compression-
[pdf]
[supp]
[bibtex]@InProceedings{Georgiadis_2019_CVPR,
author = {Georgiadis, Georgios},
title = {Accelerating Convolutional Neural Networks via Activation Map Compression},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Knowledge Distillation via Instance Relationship Graph-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Yufan and Cao, Jiajiong and Li, Bing and Yuan, Chunfeng and Hu, Weiming and Li, Yangxi and Duan, Yunqiang},
title = {Knowledge Distillation via Instance Relationship Graph},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PPGNet: Learning Point-Pair Graph for Line Segment Detection-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Ziheng and Li, Zhengxin and Bi, Ning and Zheng, Jia and Wang, Jinlei and Huang, Kun and Luo, Weixin and Xu, Yanyu and Gao, Shenghua},
title = {PPGNet: Learning Point-Pair Graph for Line Segment Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling-
[pdf]
[supp]
[bibtex]@InProceedings{Wei_2019_CVPR,
author = {Wei, Zhen and Zhang, Jingyi and Liu, Li and Zhu, Fan and Shen, Fumin and Zhou, Yi and Liu, Si and Sun, Yao and Shao, Ling},
title = {Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Variational Bayesian Dropout With a Hierarchical Prior-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Yuhang and Dong, Wenyong and Zhang, Lei and Gong, Dong and Shi, Qinfeng},
title = {Variational Bayesian Dropout With a Hierarchical Prior},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AANet: Attribute Attention Network for Person Re-Identifications-
[pdf]
[bibtex]@InProceedings{Tay_2019_CVPR,
author = {Tay, Chiat-Pin and Roy, Sharmili and Yap, Kim-Hui},
title = {AANet: Attribute Attention Network for Person Re-Identifications},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Makansi_2019_CVPR,
author = {Makansi, Osama and Ilg, Eddy and Cicek, Ozgun and Brox, Thomas},
title = {Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks-
[pdf]
[bibtex]@InProceedings{Xu_2019_CVPR,
author = {Xu, Yinghao and Dong, Xin and Li, Yudian and Su, Hao},
title = {A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet-
[pdf]
[supp]
[bibtex]@InProceedings{Aoki_2019_CVPR,
author = {Aoki, Yasuhiro and Goforth, Hunter and Srivatsan, Rangaprasad Arun and Lucey, Simon},
title = {PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Few-Shot Adaptive Faster R-CNN-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Tao and Zhang, Xiaopeng and Yuan, Li and Feng, Jiashi},
title = {Few-Shot Adaptive Faster R-CNN},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
VRSTC: Occlusion-Free Video Person Re-Identification-
[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 = {VRSTC: Occlusion-Free Video Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Compact Feature Learning for Multi-Domain Image Classification-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Yajing and Tian, Xinmei and Li, Ya and Xiong, Zhiwei and Wu, Feng},
title = {Compact Feature Learning for Multi-Domain Image Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adaptive Transfer Network for Cross-Domain Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Jiawei and Zha, Zheng-Jun and Chen, Di and Hong, Richang and Wang, Meng},
title = {Adaptive Transfer Network for Cross-Domain Person Re-Identification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Aoxue and Luo, Tiange and Lu, Zhiwu and Xiang, Tao and Wang, Liwei},
title = {Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition-
[pdf]
[supp]
[bibtex]@InProceedings{Shakeri_2019_CVPR,
author = {Shakeri, Moein and Zhang, Hong},
title = {Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pedestrian Detection With Autoregressive Network Phases-
[pdf]
[bibtex]@InProceedings{Brazil_2019_CVPR,
author = {Brazil, Garrick and Liu, Xiaoming},
title = {Pedestrian Detection With Autoregressive Network Phases},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Weijie and Xie, Di and Zhang, Yuan and Pu, Shiliang},
title = {All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Stochastic Class-Based Hard Example Mining for Deep Metric Learning-
[pdf]
[bibtex]@InProceedings{Suh_2019_CVPR,
author = {Suh, Yumin and Han, Bohyung and Kim, Wonsik and Lee, Kyoung Mu},
title = {Stochastic Class-Based Hard Example Mining for Deep Metric Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Wenbin and Wang, Lei and Xu, Jinglin and Huo, Jing and Gao, Yang and Luo, Jiebo},
title = {Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Robust Curve Text Detection With Conditional Spatial Expansion-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Zichuan and Lin, Guosheng and Yang, Sheng and Liu, Fayao and Lin, Weisi and Goh, Wang Ling},
title = {Towards Robust Curve Text Detection With Conditional Spatial Expansion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Revisiting Perspective Information for Efficient Crowd Counting-
[pdf]
[bibtex]@InProceedings{Shi_2019_CVPR,
author = {Shi, Miaojing and Yang, Zhaohui and Xu, Chao and Chen, Qijun},
title = {Revisiting Perspective Information for Efficient Crowd Counting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Universal Object Detection by Domain Attention-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Xudong and Cai, Zhaowei and Gao, Dashan and Vasconcelos, Nuno},
title = {Towards Universal Object Detection by Domain Attention},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Ensemble Deep Manifold Similarity Learning Using Hard Proxies-
[pdf]
[bibtex]@InProceedings{Aziere_2019_CVPR,
author = {Aziere, Nicolas and Todorovic, Sinisa},
title = {Ensemble Deep Manifold Similarity Learning Using Hard Proxies},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Quantization Networks-
[pdf]
[bibtex]@InProceedings{Yang_2019_CVPR,
author = {Yang, Jiwei and Shen, Xu and Xing, Jun and Tian, Xinmei and Li, Houqiang and Deng, Bing and Huang, Jianqiang and Hua, Xian-sheng},
title = {Quantization Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices-
[pdf]
[supp]
[bibtex]@InProceedings{Peng_2019_CVPR,
author = {Peng, Chong and Chen, Chenglizhao and Kang, Zhao and Li, Jianbo and Cheng, Qiang},
title = {RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Reddy_2019_CVPR,
author = {Reddy, N. Dinesh and Vo, Minh and Narasimhan, Srinivasa G.},
title = {Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Efficient Featurized Image Pyramid Network for Single Shot Detector-
[pdf]
[bibtex]@InProceedings{Pang_2019_CVPR,
author = {Pang, Yanwei and Wang, Tiancai and Anwer, Rao Muhammad and Khan, Fahad Shahbaz and Shao, Ling},
title = {Efficient Featurized Image Pyramid Network for Single Shot Detector},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Task Multi-Sensor Fusion for 3D Object Detection-
[pdf]
[bibtex]@InProceedings{Liang_2019_CVPR,
author = {Liang, Ming and Yang, Bin and Chen, Yun and Hu, Rui and Urtasun, Raquel},
title = {Multi-Task Multi-Sensor Fusion for 3D Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Chang_2019_CVPR,
author = {Chang, Woong-Gi and You, Tackgeun and Seo, Seonguk and Kwak, Suha and Han, Bohyung},
title = {Domain-Specific Batch Normalization for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Grid R-CNN-
[pdf]
[bibtex]@InProceedings{Lu_2019_CVPR,
author = {Lu, Xin and Li, Buyu and Yue, Yuxin and Li, Quanquan and Yan, Junjie},
title = {Grid R-CNN},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Weihe and Wang, Yali and Qiao, Yu},
title = {MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map-
[pdf]
[supp]
[bibtex]@InProceedings{Thoma_2019_CVPR,
author = {Thoma, Janine and Paudel, Danda Pani and Chhatkuli, Ajad and Probst, Thomas and Gool, Luc Van},
title = {Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Triply Supervised Decoder Networks for Joint Detection and Segmentation-
[pdf]
[bibtex]@InProceedings{Cao_2019_CVPR,
author = {Cao, Jiale and Pang, Yanwei and Li, Xuelong},
title = {Triply Supervised Decoder Networks for Joint Detection and Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Leveraging the Invariant Side of Generative Zero-Shot Learning-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Jingjing and Jing, Mengmeng and Lu, Ke and Ding, Zhengming and Zhu, Lei and Huang, Zi},
title = {Leveraging the Invariant Side of Generative Zero-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Exploring the Bounds of the Utility of Context for Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Barnea_2019_CVPR,
author = {Barnea, Ehud and Ben-Shahar, Ohad},
title = {Exploring the Bounds of the Utility of Context for Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A-CNN: Annularly Convolutional Neural Networks on Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Komarichev_2019_CVPR,
author = {Komarichev, Artem and Zhong, Zichun and Hua, Jing},
title = {A-CNN: Annularly Convolutional Neural Networks on Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DARNet: Deep Active Ray Network for Building Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Cheng_2019_CVPR,
author = {Cheng, Dominic and Liao, Renjie and Fidler, Sanja and Urtasun, Raquel},
title = {DARNet: Deep Active Ray Network for Building Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Landrieu_2019_CVPR,
author = {Landrieu, Loic and Boussaha, Mohamed},
title = {Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Graphonomy: Universal Human Parsing via Graph Transfer Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Gong_2019_CVPR,
author = {Gong, Ke and Gao, Yiming and Liang, Xiaodan and Shen, Xiaohui and Wang, Meng and Lin, Liang},
title = {Graphonomy: Universal Human Parsing via Graph Transfer Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage-
[pdf]
[bibtex]@InProceedings{Magri_2019_CVPR,
author = {Magri, Luca and Fusiello, Andrea},
title = {Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Late Fusion CNN for Digital Matting-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yunke and Gong, Lixue and Fan, Lubin and Ren, Peiran and Huang, Qixing and Bao, Hujun and Xu, Weiwei},
title = {A Late Fusion CNN for Digital Matting},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
BASNet: Boundary-Aware Salient Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Qin_2019_CVPR,
author = {Qin, Xuebin and Zhang, Zichen and Huang, Chenyang and Gao, Chao and Dehghan, Masood and Jagersand, Martin},
title = {BASNet: Boundary-Aware Salient Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation-
[pdf]
[bibtex]@InProceedings{Lin_2019_CVPR,
author = {Lin, Di and Shen, Dingguo and Shen, Siting and Ji, Yuanfeng and Lischinski, Dani and Cohen-Or, Daniel and Huang, Hui},
title = {ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object Instance Annotation With Deep Extreme Level Set Evolution-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Zian and Acuna, David and Ling, Huan and Kar, Amlan and Fidler, Sanja},
title = {Object Instance Annotation With Deep Extreme Level Set Evolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2019_CVPR,
author = {Sun, Tao and Di, Zonglin and Che, Pengyu and Liu, Chun and Wang, Yin},
title = {Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adaptive Pyramid Context Network for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{He_2019_CVPR,
author = {He, Junjun and Deng, Zhongying and Zhou, Lei and Wang, Yali and Qiao, Yu},
title = {Adaptive Pyramid Context Network for Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Isospectralization, or How to Hear Shape, Style, and Correspondence-
[pdf]
[bibtex]@InProceedings{Cosmo_2019_CVPR,
author = {Cosmo, Luca and Panine, Mikhail and Rampini, Arianna and Ovsjanikov, Maks and Bronstein, Michael M. and Rodola, Emanuele},
title = {Isospectralization, or How to Hear Shape, Style, and Correspondence},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Speech2Face: Learning the Face Behind a Voice-
[pdf]
[bibtex]@InProceedings{Oh_2019_CVPR,
author = {Oh, Tae-Hyun and Dekel, Tali and Kim, Changil and Mosseri, Inbar and Freeman, William T. and Rubinstein, Michael and Matusik, Wojciech},
title = {Speech2Face: Learning the Face Behind a Voice},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations-
[pdf]
[bibtex]@InProceedings{Kim_2019_CVPR,
author = {Kim, Kwang In and Chang, Hyung Jin},
title = {Joint Manifold Diffusion for Combining Predictions on Decoupled Observations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Audio Visual Scene-Aware Dialog-
[pdf]
[bibtex]@InProceedings{Alamri_2019_CVPR,
author = {Alamri, Huda and Cartillier, Vincent and Das, Abhishek and Wang, Jue and Cherian, Anoop and Essa, Irfan and Batra, Dhruv and Marks, Tim K. and Hori, Chiori and Anderson, Peter and Lee, Stefan and Parikh, Devi},
title = {Audio Visual Scene-Aware Dialog},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Minify Photometric Stereo-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Junxuan and Robles-Kelly, Antonio and You, Shaodi and Matsushita, Yasuyuki},
title = {Learning to Minify Photometric Stereo},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reflective and Fluorescent Separation Under Narrow-Band Illumination-
[pdf]
[bibtex]@InProceedings{Koyamatsu_2019_CVPR,
author = {Koyamatsu, Koji and Hidaka, Daichi and Okabe, Takahiro and Lensch, Hendrik P. A.},
title = {Reflective and Fluorescent Separation Under Narrow-Band Illumination},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Depth From a Polarisation + RGB Stereo Pair-
[pdf]
[bibtex]@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Dizhong and Smith, William A. P.},
title = {Depth From a Polarisation + RGB Stereo Pair},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Rethinking the Evaluation of Video Summaries-
[pdf]
[supp]
[bibtex]@InProceedings{Otani_2019_CVPR,
author = {Otani, Mayu and Nakashima, Yuta and Rahtu, Esa and Heikkila, Janne},
title = {Rethinking the Evaluation of Video Summaries},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
What Object Should I Use? - Task Driven Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Sawatzky_2019_CVPR,
author = {Sawatzky, Johann and Souri, Yaser and Grund, Christian and Gall, Jurgen},
title = {What Object Should I Use? - Task Driven Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Triangulation Learning Network: From Monocular to Stereo 3D Object Detection-
[pdf]
[bibtex]@InProceedings{Qin_2019_CVPR,
author = {Qin, Zengyi and Wang, Jinglu and Lu, Yan},
title = {Triangulation Learning Network: From Monocular to Stereo 3D Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Riegler_2019_CVPR,
author = {Riegler, Gernot and Liao, Yiyi and Donne, Simon and Koltun, Vladlen and Geiger, Andreas},
title = {Connecting the Dots: Learning Representations for Active Monocular Depth Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Non-Volumetric Depth Fusion Using Successive Reprojections-
[pdf]
[supp]
[bibtex]@InProceedings{Donne_2019_CVPR,
author = {Donne, Simon and Geiger, Andreas},
title = {Learning Non-Volumetric Depth Fusion Using Successive Reprojections},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Stereo R-CNN Based 3D Object Detection for Autonomous Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Peiliang and Chen, Xiaozhi and Shen, Shaojie},
title = {Stereo R-CNN Based 3D Object Detection for Autonomous Driving},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hybrid Scene Compression for Visual Localization-
[pdf]
[bibtex]@InProceedings{Camposeco_2019_CVPR,
author = {Camposeco, Federico and Cohen, Andrea and Pollefeys, Marc and Sattler, Torsten},
title = {Hybrid Scene Compression for Visual Localization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Yi_2019_CVPR,
author = {Yi, Hongwei and Li, Chen and Cao, Qiong and Shen, Xiaoyong and Li, Sheng and Wang, Guoping and Tai, Yu-Wing},
title = {MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis-
[pdf]
[bibtex]@InProceedings{Qi_2019_CVPR,
author = {Qi, Xiaojuan and Liu, Zhengzhe and Chen, Qifeng and Jia, Jiaya},
title = {3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Single Image Depth Estimation Trained via Depth From Defocus Cues-
[pdf]
[supp]
[bibtex]@InProceedings{Gur_2019_CVPR,
author = {Gur, Shir and Wolf, Lior},
title = {Single Image Depth Estimation Trained via Depth From Defocus Cues},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Jie and Liu, Yu and Gong, Dong and Shi, Qinfeng and Yuan, Xia and Zhao, Chunxia and Reid, Ian},
title = {RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neural Scene Decomposition for Multi-Person Motion Capture-
[pdf]
[bibtex]@InProceedings{Rhodin_2019_CVPR,
author = {Rhodin, Helge and Constantin, Victor and Katircioglu, Isinsu and Salzmann, Mathieu and Fua, Pascal},
title = {Neural Scene Decomposition for Multi-Person Motion Capture},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Dong_2019_CVPR,
author = {Dong, Yinpeng and Su, Hang and Wu, Baoyuan and Li, Zhifeng and Liu, Wei and Zhang, Tong and Zhu, Jun},
title = {Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FA-RPN: Floating Region Proposals for Face Detection-
[pdf]
[bibtex]@InProceedings{Najibi_2019_CVPR,
author = {Najibi, Mahyar and Singh, Bharat and Davis, Larry S.},
title = {FA-RPN: Floating Region Proposals for Face Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bayesian Hierarchical Dynamic Model for Human Action Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Rui and Xu, Wanru and Su, Hui and Ji, Qiang},
title = {Bayesian Hierarchical Dynamic Model for Human Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation-
[pdf]
[bibtex]@InProceedings{Xiong_2019_CVPR,
author = {Xiong, Yunyang and Kim, Hyunwoo J. and Singh, Vikas},
title = {Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training-
[pdf]
[supp]
[bibtex]@InProceedings{Pavllo_2019_CVPR,
author = {Pavllo, Dario and Feichtenhofer, Christoph and Grangier, David and Auli, Michael},
title = {3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision-
[pdf]
[supp]
[bibtex]@InProceedings{Sanyal_2019_CVPR,
author = {Sanyal, Soubhik and Bolkart, Timo and Feng, Haiwen and Black, Michael J.},
title = {Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PoseFix: Model-Agnostic General Human Pose Refinement Network-
[pdf]
[supp]
[bibtex]@InProceedings{Moon_2019_CVPR,
author = {Moon, Gyeongsik and Chang, Ju Yong and Lee, Kyoung Mu},
title = {PoseFix: Model-Agnostic General Human Pose Refinement Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation-
[pdf]
[bibtex]@InProceedings{Wandt_2019_CVPR,
author = {Wandt, Bastian and Rosenhahn, Bodo},
title = {RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views-
[pdf]
[bibtex]@InProceedings{Dong_2019_CVPR,
author = {Dong, Junting and Jiang, Wen and Huang, Qixing and Bao, Hujun and Zhou, Xiaowei},
title = {Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Face-Focused Cross-Stream Network for Deception Detection in Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Ding_2019_CVPR,
author = {Ding, Mingyu and Zhao, An and Lu, Zhiwu and Xiang, Tao and Wen, Ji-Rong},
title = {Face-Focused Cross-Stream Network for Deception Detection in Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data-
[pdf]
[bibtex]@InProceedings{Zhong_2019_CVPR,
author = {Zhong, Yaoyao and Deng, Weihong and Wang, Mei and Hu, Jiani and Peng, Jianteng and Tao, Xunqiang and Huang, Yaohai},
title = {Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor-
[pdf]
[bibtex]@InProceedings{Kossaifi_2019_CVPR,
author = {Kossaifi, Jean and Bulat, Adrian and Tzimiropoulos, Georgios and Pantic, Maja},
title = {T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Lele and Maddox, Ross K. and Duan, Zhiyao and Xu, Chenliang},
title = {Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video-
[pdf]
[bibtex]@InProceedings{Ionescu_2019_CVPR,
author = {Ionescu, Radu Tudor and Khan, Fahad Shahbaz and Georgescu, Mariana-Iuliana and Shao, Ling},
title = {Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Perrett_2019_CVPR,
author = {Perrett, Toby and Damen, Dima},
title = {DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Doughty_2019_CVPR,
author = {Doughty, Hazel and Mayol-Cuevas, Walterio and Damen, Dima},
title = {The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Collaborative Spatiotemporal Feature Learning for Video Action Recognition-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Chao and Zhong, Qiaoyong and Xie, Di and Pu, Shiliang},
title = {Collaborative Spatiotemporal Feature Learning for Video Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MARS: Motion-Augmented RGB Stream for Action Recognition-
[pdf]
[bibtex]@InProceedings{Crasto_2019_CVPR,
author = {Crasto, Nieves and Weinzaepfel, Philippe and Alahari, Karteek and Schmid, Cordelia},
title = {MARS: Motion-Augmented RGB Stream for Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Convolutional Relational Machine for Group Activity Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Azar_2019_CVPR,
author = {Azar, Sina Mokhtarzadeh and Atigh, Mina Ghadimi and Nickabadi, Ahmad and Alahi, Alexandre},
title = {Convolutional Relational Machine for Group Activity Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Video Summarization by Learning From Unpaired Data-
[pdf]
[bibtex]@InProceedings{Rochan_2019_CVPR,
author = {Rochan, Mrigank and Wang, Yang},
title = {Video Summarization by Learning From Unpaired Data},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Skeleton-Based Action Recognition With Directed Graph Neural Networks-
[pdf]
[bibtex]@InProceedings{Shi_2019_CVPR,
author = {Shi, Lei and Zhang, Yifan and Cheng, Jian and Lu, Hanqing},
title = {Skeleton-Based Action Recognition With Directed Graph Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PA3D: Pose-Action 3D Machine for Video Recognition-
[pdf]
[bibtex]@InProceedings{Yan_2019_CVPR,
author = {Yan, An and Wang, Yali and Li, Zhifeng and Qiao, Yu},
title = {PA3D: Pose-Action 3D Machine for Video Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Dual Relation Modeling for Egocentric Interaction Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Haoxin and Cai, Yijun and Zheng, Wei-Shi},
title = {Deep Dual Relation Modeling for Egocentric Interaction Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MOTS: Multi-Object Tracking and Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Voigtlaender_2019_CVPR,
author = {Voigtlaender, Paul and Krause, Michael and Osep, Aljosa and Luiten, Jonathon and Sekar, Berin Balachandar Gnana and Geiger, Andreas and Leibe, Bastian},
title = {MOTS: Multi-Object Tracking and Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking-
[pdf]
[supp]
[bibtex]@InProceedings{Fan_2019_CVPR,
author = {Fan, Heng and Ling, Haibin},
title = {Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Behl_2019_CVPR,
author = {Behl, Aseem and Paschalidou, Despoina and Donne, Simon and Geiger, Andreas},
title = {PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Listen to the Image-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2019_CVPR,
author = {Hu, Di and Wang, Dong and Li, Xuelong and Nie, Feiping and Wang, Qi},
title = {Listen to the Image},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Image Super-Resolution by Neural Texture Transfer-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Zhifei and Wang, Zhaowen and Lin, Zhe and Qi, Hairong},
title = {Image Super-Resolution by Neural Texture Transfer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Conditional Adversarial Generative Flow for Controllable Image Synthesis-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Rui and Liu, Yu and Gong, Xinyu and Wang, Xiaogang and Li, Hongsheng},
title = {Conditional Adversarial Generative Flow for Controllable Image Synthesis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
How to Make a Pizza: Learning a Compositional Layer-Based GAN Model-
[pdf]
[bibtex]@InProceedings{Papadopoulos_2019_CVPR,
author = {Papadopoulos, Dim P. and Tamaazousti, Youssef and Ofli, Ferda and Weber, Ingmar and Torralba, Antonio},
title = {How to Make a Pizza: Learning a Compositional Layer-Based GAN Model},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2019_CVPR,
author = {Wu, Wayne and Cao, Kaidi and Li, Cheng and Qian, Chen and Loy, Chen Change},
title = {TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Depth-Attentional Features for Single-Image Rain Removal-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2019_CVPR,
author = {Hu, Xiaowei and Fu, Chi-Wing and Zhu, Lei and Heng, Pheng-Ann},
title = {Depth-Attentional Features for Single-Image Rain Removal},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Lizhi and Sun, Chen and Fu, Ying and Kim, Min H. and Huang, Hua},
title = {Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LiFF: Light Field Features in Scale and Depth-
[pdf]
[supp]
[bibtex]@InProceedings{Dansereau_2019_CVPR,
author = {Dansereau, Donald G. and Girod, Bernd and Wetzstein, Gordon},
title = {LiFF: Light Field Features in Scale and Depth},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Exemplar-Based Video Colorization-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Bo and He, Mingming and Liao, Jing and Sander, Pedro V. and Yuan, Lu and Bermak, Amine and Chen, Dong},
title = {Deep Exemplar-Based Video Colorization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
On Finding Gray Pixels-
[pdf]
[supp]
[bibtex]@InProceedings{Qian_2019_CVPR,
author = {Qian, Yanlin and Kamarainen, Joni-Kristian and Nikkanen, Jarno and Matas, Jiri},
title = {On Finding Gray Pixels},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Yang and Wang, Peng and Yang, Zhenheng and Luo, Chenxu and Yang, Yi and Xu, Wei},
title = {UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Transformation Synchronization-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2019_CVPR,
author = {Huang, Xiangru and Liang, Zhenxiao and Zhou, Xiaowei and Xie, Yao and Guibas, Leonidas J. and Huang, Qixing},
title = {Learning Transformation Synchronization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features-
[pdf]
[supp]
[bibtex]@InProceedings{Dusmanu_2019_CVPR,
author = {Dusmanu, Mihai and Rocco, Ignacio and Pajdla, Tomas and Pollefeys, Marc and Sivic, Josef and Torii, Akihiko and Sattler, Torsten},
title = {D2-Net: A Trainable CNN for Joint Description and Detection of Local Features},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring-
[pdf]
[supp]
[bibtex]@InProceedings{Nah_2019_CVPR,
author = {Nah, Seungjun and Son, Sanghyun and Lee, Kyoung Mu},
title = {Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Extract Flawless Slow Motion From Blurry Videos-
[pdf]
[bibtex]@InProceedings{Jin_2019_CVPR,
author = {Jin, Meiguang and Hu, Zhe and Favaro, Paolo},
title = {Learning to Extract Flawless Slow Motion From Blurry Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination-
[pdf]
[supp]
[bibtex]@InProceedings{Soh_2019_CVPR,
author = {Soh, Jae Woong and Park, Gu Yong and Jo, Junho and Cho, Nam Ik},
title = {Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RF-Net: An End-To-End Image Matching Network Based on Receptive Field-
[pdf]
[bibtex]@InProceedings{Shen_2019_CVPR,
author = {Shen, Xuelun and Wang, Cheng and Li, Xin and Yu, Zenglei and Li, Jonathan and Wen, Chenglu and Cheng, Ming and He, Zijian},
title = {RF-Net: An End-To-End Image Matching Network Based on Receptive Field},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast Single Image Reflection Suppression via Convex Optimization-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2019_CVPR,
author = {Yang, Yang and Ma, Wenye and Zheng, Yin and Cai, Jian-Feng and Xu, Weiyu},
title = {Fast Single Image Reflection Suppression via Convex Optimization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision-
[pdf]
[bibtex]@InProceedings{Wu_2019_CVPR,
author = {Wu, Runmin and Feng, Mengyang and Guan, Wenlong and Wang, Dong and Lu, Huchuan and Ding, Errui},
title = {A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Enhanced Pix2pix Dehazing Network-
[pdf]
[bibtex]@InProceedings{Qu_2019_CVPR,
author = {Qu, Yanyun and Chen, Yizi and Huang, Jingying and Xie, Yuan},
title = {Enhanced Pix2pix Dehazing Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering-
[pdf]
[bibtex]@InProceedings{Korhonen_2019_CVPR,
author = {Korhonen, Jari},
title = {Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements-
[pdf]
[bibtex]@InProceedings{Wei_2019_CVPR,
author = {Wei, Kaixuan and Yang, Jiaolong and Fu, Ying and Wipf, David and Huang, Hua},
title = {Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Exploring Context and Visual Pattern of Relationship for Scene Graph Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Wenbin and Wang, Ruiping and Shan, Shiguang and Chen, Xilin},
title = {Exploring Context and Visual Pattern of Relationship for Scene Graph Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning From Synthetic Data for Crowd Counting in the Wild-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Qi and Gao, Junyu and Lin, Wei and Yuan, Yuan},
title = {Learning From Synthetic Data for Crowd Counting in the Wild},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Local Block Coordinate Descent Algorithm for the CSC Model-
[pdf]
[supp]
[bibtex]@InProceedings{Zisselman_2019_CVPR,
author = {Zisselman, Ev and Sulam, Jeremias and Elad, Michael},
title = {A Local Block Coordinate Descent Algorithm for the CSC Model},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Shetty_2019_CVPR,
author = {Shetty, Rakshith and Schiele, Bernt and Fritz, Mario},
title = {Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Discovering Fair Representations in the Data Domain-
[pdf]
[bibtex]@InProceedings{Quadrianto_2019_CVPR,
author = {Quadrianto, Novi and Sharmanska, Viktoriia and Thomas, Oliver},
title = {Discovering Fair Representations in the Data Domain},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Actor-Critic Instance Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Araslanov_2019_CVPR,
author = {Araslanov, Nikita and Rothkopf, Constantin A. and Roth, Stefan},
title = {Actor-Critic Instance Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders-
[pdf]
[bibtex]@InProceedings{Schonfeld_2019_CVPR,
author = {Schonfeld, Edgar and Ebrahimi, Sayna and Sinha, Samarth and Darrell, Trevor and Akata, Zeynep},
title = {Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Xian_2019_CVPR,
author = {Xian, Yongqin and Choudhury, Subhabrata and He, Yang and Schiele, Bernt and Akata, Zeynep},
title = {Semantic Projection Network for Zero- and Few-Label Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Ma_2019_CVPR,
author = {Ma, Xinhong and Zhang, Tianzhu and Xu, Changsheng},
title = {GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Seamless Scene Segmentation-
[pdf]
[bibtex]@InProceedings{Porzi_2019_CVPR,
author = {Porzi, Lorenzo and Bulo, Samuel Rota and Colovic, Aleksander and Kontschieder, Peter},
title = {Seamless Scene Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Image Matching and Object Discovery as Optimization-
[pdf]
[bibtex]@InProceedings{Vo_2019_CVPR,
author = {Vo, Huy V. and Bach, Francis and Cho, Minsu and Han, Kai and LeCun, Yann and Perez, Patrick and Ponce, Jean},
title = {Unsupervised Image Matching and Object Discovery as Optimization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Qi and Chan, Antoni B.},
title = {Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions-
[pdf]
[supp]
[bibtex]@InProceedings{Cornia_2019_CVPR,
author = {Cornia, Marcella and Baraldi, Lorenzo and Cucchiara, Rita},
title = {Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards VQA Models That Can Read-
[pdf]
[supp]
[bibtex]@InProceedings{Singh_2019_CVPR,
author = {Singh, Amanpreet and Natarajan, Vivek and Shah, Meet and Jiang, Yu and Chen, Xinlei and Batra, Dhruv and Parikh, Devi and Rohrbach, Marcus},
title = {Towards VQA Models That Can Read},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Junchao and Peng, Yuxin},
title = {Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Progressive Attention Memory Network for Movie Story Question Answering-
[pdf]
[bibtex]@InProceedings{Kim_2019_CVPR,
author = {Kim, Junyeong and Ma, Minuk and Kim, Kyungsu and Kim, Sungjin and Yoo, Chang D.},
title = {Progressive Attention Memory Network for Movie Story Question Answering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Memory-Attended Recurrent Network for Video Captioning-
[pdf]
[bibtex]@InProceedings{Pei_2019_CVPR,
author = {Pei, Wenjie and Zhang, Jiyuan and Wang, Xiangrong and Ke, Lei and Shen, Xiaoyong and Tai, Yu-Wing},
title = {Memory-Attended Recurrent Network for Video Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Visual Query Answering by Entity-Attribute Graph Matching and Reasoning-
[pdf]
[bibtex]@InProceedings{Xiong_2019_CVPR,
author = {Xiong, Peixi and Zhan, Huayi and Wang, Xin and Sinha, Baivab and Wu, Ying},
title = {Visual Query Answering by Entity-Attribute Graph Matching and Reasoning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Look Back and Predict Forward in Image Captioning-
[pdf]
[bibtex]@InProceedings{Qin_2019_CVPR,
author = {Qin, Yu and Du, Jiajun and Zhang, Yonghua and Lu, Hongtao},
title = {Look Back and Predict Forward in Image Captioning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Explainable and Explicit Visual Reasoning Over Scene Graphs-
[pdf]
[supp]
[bibtex]@InProceedings{Shi_2019_CVPR,
author = {Shi, Jiaxin and Zhang, Hanwang and Li, Juanzi},
title = {Explainable and Explicit Visual Reasoning Over Scene Graphs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering-
[pdf]
[bibtex]@InProceedings{Noh_2019_CVPR,
author = {Noh, Hyeonwoo and Kim, Taehoon and Mun, Jonghwan and Han, Bohyung},
title = {Transfer Learning via Unsupervised Task Discovery for Visual Question Answering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Intention Oriented Image Captions With Guiding Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Yue and Li, Yali and Wang, Shengjin},
title = {Intention Oriented Image Captions With Guiding Objects},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining-
[pdf]
[supp]
[bibtex]@InProceedings{Yasarla_2019_CVPR,
author = {Yasarla, Rajeev and Patel, Vishal M.},
title = {Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Toward Realistic Image Compositing With Adversarial Learning-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Bor-Chun and Kae, Andrew},
title = {Toward Realistic Image Compositing With Adversarial Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics-
[pdf]
[supp]
[bibtex]@InProceedings{Meirovitch_2019_CVPR,
author = {Meirovitch, Yaron and Mi, Lu and Saribekyan, Hayk and Matveev, Alexander and Rolnick, David and Shavit, Nir},
title = {Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep ChArUco: Dark ChArUco Marker Pose Estimation-
[pdf]
[bibtex]@InProceedings{Hu_2019_CVPR,
author = {Hu, Danying and DeTone, Daniel and Malisiewicz, Tomasz},
title = {Deep ChArUco: Dark ChArUco Marker Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Yan and Chao, Wei-Lun and Garg, Divyansh and Hariharan, Bharath and Campbell, Mark and Weinberger, Kilian Q.},
title = {Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions-
[pdf]
[supp]
[bibtex]@InProceedings{Hong_2019_CVPR,
author = {Hong, Joey and Sapp, Benjamin and Philbin, James},
title = {Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Metric Learning for Image Registration-
[pdf]
[supp]
[bibtex]@InProceedings{Niethammer_2019_CVPR,
author = {Niethammer, Marc and Kwitt, Roland and Vialard, Francois-Xavier},
title = {Metric Learning for Image Registration},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LO-Net: Deep Real-Time Lidar Odometry-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Qing and Chen, Shaoyang and Wang, Cheng and Li, Xin and Wen, Chenglu and Cheng, Ming and Li, Jonathan},
title = {LO-Net: Deep Real-Time Lidar Odometry},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions-
[pdf]
[bibtex]@InProceedings{Chandra_2019_CVPR,
author = {Chandra, Rohan and Bhattacharya, Uttaran and Bera, Aniket and Manocha, Dinesh},
title = {TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
World From Blur-
[pdf]
[bibtex]@InProceedings{Qiu_2019_CVPR,
author = {Qiu, Jiayan and Wang, Xinchao and Maybank, Stephen J. and Tao, Dacheng},
title = {World From Blur},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering-
[pdf]
[bibtex]@InProceedings{Xie_2019_CVPR,
author = {Xie, Jianyang and Zhao, Yitian and Liu, Yonghuai and Su, Pan and Zhao, Yifan and Cheng, Jun and Zheng, Yalin and Liu, Jiang},
title = {Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training-
[pdf]
[bibtex]@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Feng and Deng, Cheng and Sun, Xing and Jiang, Xinyang and Guo, Xiaowei and Yu, Zongqiao and Huang, Feiyue and Ji, Rongrong},
title = {Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}