Papers
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Embodied Question Answering-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Das_2018_CVPR,
author = {Das, Abhishek and Datta, Samyak and Gkioxari, Georgia and Lee, Stefan and Parikh, Devi and Batra, Dhruv},
title = {Embodied Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning by Asking Questions-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Misra_2018_CVPR,
author = {Misra, Ishan and Girshick, Ross and Fergus, Rob and Hebert, Martial and Gupta, Abhinav and van der Maaten, Laurens},
title = {Learning by Asking Questions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Finding Tiny Faces in the Wild With Generative Adversarial Network-
[pdf]
[video]
[bibtex]@InProceedings{Bai_2018_CVPR,
author = {Bai, Yancheng and Zhang, Yongqiang and Ding, Mingli and Ghanem, Bernard},
title = {Finding Tiny Faces in the Wild With Generative Adversarial Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Face Age Progression: A Pyramid Architecture of GANs-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Hongyu and Huang, Di and Wang, Yunhong and Jain, Anil K.},
title = {Learning Face Age Progression: A Pyramid Architecture of GANs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup-
[pdf]
[video]
[bibtex]@InProceedings{Chang_2018_CVPR,
author = {Chang, Huiwen and Lu, Jingwan and Yu, Fisher and Finkelstein, Adam},
title = {PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
GANerated Hands for Real-Time 3D Hand Tracking From Monocular RGB-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Mueller_2018_CVPR,
author = {Mueller, Franziska and Bernard, Florian and Sotnychenko, Oleksandr and Mehta, Dushyant and Sridhar, Srinath and Casas, Dan and Theobalt, Christian},
title = {GANerated Hands for Real-Time 3D Hand Tracking From Monocular RGB},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Pose Specific Representations by Predicting Different Views-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Poier_2018_CVPR,
author = {Poier, Georg and Schinagl, David and Bischof, Horst},
title = {Learning Pose Specific Representations by Predicting Different Views},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Fang_2018_CVPR,
author = {Fang, Hao-Shu and Lu, Guansong and Fang, Xiaolin and Xie, Jianwen and Tai, Yu-Wing and Lu, Cewu},
title = {Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Wei_2018_CVPR,
author = {Wei, Longhui and Zhang, Shiliang and Gao, Wen and Tian, Qi},
title = {Person Transfer GAN to Bridge Domain Gap for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Cross-Modal Deep Variational Hand Pose Estimation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Spurr_2018_CVPR,
author = {Spurr, Adrian and Song, Jie and Park, Seonwook and Hilliges, Otmar},
title = {Cross-Modal Deep Variational Hand Pose Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Disentangled Person Image Generation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Ma_2018_CVPR,
author = {Ma, Liqian and Sun, Qianru and Georgoulis, Stamatios and Van Gool, Luc and Schiele, Bernt and Fritz, Mario},
title = {Disentangled Person Image Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Bulat_2018_CVPR,
author = {Bulat, Adrian and Tzimiropoulos, Georgios},
title = {Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multistage Adversarial Losses for Pose-Based Human Image Synthesis-
[pdf]
[video]
[bibtex]@InProceedings{Si_2018_CVPR,
author = {Si, Chenyang and Wang, Wei and Wang, Liang and Tan, Tieniu},
title = {Multistage Adversarial Losses for Pose-Based Human Image Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Rotation Averaging and Strong Duality-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Eriksson_2018_CVPR,
author = {Eriksson, Anders and Olsson, Carl and Kahl, Fredrik and Chin, Tat-Jun},
title = {Rotation Averaging and Strong Duality},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Hybrid Camera Pose Estimation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Camposeco_2018_CVPR,
author = {Camposeco, Federico and Cohen, Andrea and Pollefeys, Marc and Sattler, Torsten},
title = {Hybrid Camera Pose Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Briales_2018_CVPR,
author = {Briales, Jesus and Kneip, Laurent and Gonzalez-Jimenez, Javier},
title = {A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Single View Stereo Matching-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Luo_2018_CVPR,
author = {Luo, Yue and Ren, Jimmy and Lin, Mude and Pang, Jiahao and Sun, Wenxiu and Li, Hongsheng and Lin, Liang},
title = {Single View Stereo Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Haefner_2018_CVPR,
author = {Haefner, Bjoern and Quéau, Yvain and Möllenhoff, Thomas and Cremers, Daniel},
title = {Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Depth Completion of a Single RGB-D Image-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Yinda and Funkhouser, Thomas},
title = {Deep Depth Completion of a Single RGB-D Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-View Harmonized Bilinear Network for 3D Object Recognition-
[pdf]
[video]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Tan and Meng, Jingjing and Yuan, Junsong},
title = {Multi-View Harmonized Bilinear Network for 3D Object Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Deng_2018_CVPR,
author = {Deng, Haowen and Birdal, Tolga and Ilic, Slobodan},
title = {PPFNet: Global Context Aware Local Features for Robust 3D Point Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Yaoqing and Feng, Chen and Shen, Yiru and Tian, Dong},
title = {FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Papier-Mâché Approach to Learning 3D Surface Generation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Groueix_2018_CVPR,
author = {Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan C. and Aubry, Mathieu},
title = {A Papier-Mâché Approach to Learning 3D Surface Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
LEGO: Learning Edge With Geometry All at Once by Watching Videos-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Zhenheng and Wang, Peng and Wang, Yang and Xu, Wei and Nevatia, Ram},
title = {LEGO: Learning Edge With Geometry All at Once by Watching Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras-
[pdf]
[arXiv]
[bibtex]@InProceedings{Barath_2018_CVPR,
author = {Barath, Daniel},
title = {Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Danfei and Anguelov, Dragomir and Jain, Ashesh},
title = {PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kumar_2018_CVPR,
author = {Kumar, Suryansh and Cherian, Anoop and Dai, Yuchao and Li, Hongdong},
title = {Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition-
[pdf]
[bibtex]@InProceedings{Feng_2018_CVPR,
author = {Feng, Yifan and Zhang, Zizhao and Zhao, Xibin and Ji, Rongrong and Gao, Yue},
title = {GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Depth and Transient Imaging With Compressive SPAD Array Cameras-
[pdf]
[bibtex]@InProceedings{Sun_2018_CVPR,
author = {Sun, Qilin and Dun, Xiong and Peng, Yifan and Heidrich, Wolfgang},
title = {Depth and Transient Imaging With Compressive SPAD Array Cameras},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation-
[pdf]
[bibtex]@InProceedings{Qi_2018_CVPR,
author = {Qi, Xiaojuan and Liao, Renjie and Liu, Zhengzhe and Urtasun, Raquel and Jia, Jiaya},
title = {GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Real-Time Seamless Single Shot 6D Object Pose Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tekin_2018_CVPR,
author = {Tekin, Bugra and Sinha, Sudipta N. and Fua, Pascal},
title = {Real-Time Seamless Single Shot 6D Object Pose Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Factoring Shape, Pose, and Layout From the 2D Image of a 3D Scene-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tulsiani_2018_CVPR,
author = {Tulsiani, Shubham and Gupta, Saurabh and Fouhey, David F. and Efros, Alexei A. and Malik, Jitendra},
title = {Factoring Shape, Pose, and Layout From the 2D Image of a 3D Scene},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Monocular Relative Depth Perception With Web Stereo Data Supervision-
[pdf]
[bibtex]@InProceedings{Xian_2018_CVPR,
author = {Xian, Ke and Shen, Chunhua and Cao, Zhiguo and Lu, Hao and Xiao, Yang and Li, Ruibo and Luo, Zhenbo},
title = {Monocular Relative Depth Perception With Web Stereo Data Supervision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Spline Error Weighting for Robust Visual-Inertial Fusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ovrén_2018_CVPR,
author = {Ovrén, Hannes and Forssén, Per-Erik},
title = {Spline Error Weighting for Robust Visual-Inertial Fusion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Single-Image Depth Estimation Based on Fourier Domain Analysis-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2018_CVPR,
author = {Lee, Jae-Han and Heo, Minhyeok and Kim, Kyung-Rae and Kim, Chang-Su},
title = {Single-Image Depth Estimation Based on Fourier Domain Analysis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhan_2018_CVPR,
author = {Zhan, Huangying and Garg, Ravi and Weerasekera, Chamara Saroj and Li, Kejie and Agarwal, Harsh and Reid, Ian},
title = {Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Detect-and-Track: Efficient Pose Estimation in Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Girdhar_2018_CVPR,
author = {Girdhar, Rohit and Gkioxari, Georgia and Torresani, Lorenzo and Paluri, Manohar and Tran, Du},
title = {Detect-and-Track: Efficient Pose Estimation in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dong_2018_CVPR,
author = {Dong, Xuanyi and Yu, Shoou-I and Weng, Xinshuo and Wei, Shih-En and Yang, Yi and Sheikh, Yaser},
title = {Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Shuang and Bak, Slawomir and Carr, Peter and Wang, Xiaogang},
title = {Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Style Aggregated Network for Facial Landmark Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dong_2018_CVPR,
author = {Dong, Xuanyi and Yan, Yan and Ouyang, Wanli and Yang, Yi},
title = {Style Aggregated Network for Facial Landmark Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Yaojie and Jourabloo, Amin and Liu, Xiaoming},
title = {Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation-
[pdf]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Kai and Xing, Junliang and Su, Chi and Hu, Weiming and Zhang, Yundong and Maybank, Stephen},
title = {Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
First-Person Hand Action Benchmark With RGB-D Videos and 3D Hand Pose Annotations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Garcia-Hernando_2018_CVPR,
author = {Garcia-Hernando, Guillermo and Yuan, Shanxin and Baek, Seungryul and Kim, Tae-Kyun},
title = {First-Person Hand Action Benchmark With RGB-D Videos and 3D Hand Pose Annotations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sarfraz_2018_CVPR,
author = {Sarfraz, M. Saquib and Schumann, Arne and Eberle, Andreas and Stiefelhagen, Rainer},
title = {A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kumar_2018_CVPR,
author = {Kumar, Amit and Chellappa, Rama},
title = {Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation-
[pdf]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Kang and Zhao, Rui and Ji, Qiang},
title = {A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition-
[pdf]
[bibtex]@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Yizhou and Sun, Xiaoyan and Zha, Zheng-Jun and Zeng, Wenjun},
title = {MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Estimate 3D Human Pose and Shape From a Single Color Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pavlakos_2018_CVPR,
author = {Pavlakos, Georgios and Zhu, Luyang and Zhou, Xiaowei and Daniilidis, Kostas},
title = {Learning to Estimate 3D Human Pose and Shape From a Single Color Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points-
[pdf]
[arXiv]
[bibtex]@InProceedings{Baradel_2018_CVPR,
author = {Baradel, Fabien and Wolf, Christian and Mille, Julien and Taylor, Graham W.},
title = {Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Context-Aware Deep Feature Compression for High-Speed Visual Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2018_CVPR,
author = {Choi, Jongwon and Chang, Hyung Jin and Fischer, Tobias and Yun, Sangdoo and Lee, Kyuewang and Jeong, Jiyeoup and Demiris, Yiannis and Choi, Jin Young},
title = {Context-Aware Deep Feature Compression for High-Speed Visual Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Correlation Tracking via Joint Discrimination and Reliability Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sun_2018_CVPR,
author = {Sun, Chong and Wang, Dong and Lu, Huchuan and Yang, Ming-Hsuan},
title = {Correlation Tracking via Joint Discrimination and Reliability Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PhaseNet for Video Frame Interpolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meyer_2018_CVPR,
author = {Meyer, Simone and Djelouah, Abdelaziz and McWilliams, Brian and Sorkine-Hornung, Alexander and Gross, Markus and Schroers, Christopher},
title = {PhaseNet for Video Frame Interpolation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Bideau_2018_CVPR,
author = {Bideau, Pia and RoyChowdhury, Aruni and Menon, Rakesh R. and Learned-Miller, Erik},
title = {The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning-
[pdf]
[bibtex]@InProceedings{Dong_2018_CVPR,
author = {Dong, Xingping and Shen, Jianbing and Wang, Wenguan and Liu, Yu and Shao, Ling and Porikli, Fatih},
title = {Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Scale-Transferrable Object Detection-
[pdf]
[bibtex]@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Peng and Ni, Bingbing and Geng, Cong and Hu, Jianguo and Xu, Yi},
title = {Scale-Transferrable Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2018_CVPR,
author = {Lin, Chung-Ching and Hung, Ying},
title = {A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
End-to-End Flow Correlation Tracking With Spatial-Temporal Attention-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2018_CVPR,
author = {Zhu, Zheng and Wu, Wei and Zou, Wei and Yan, Junjie},
title = {End-to-End Flow Correlation Tracking With Spatial-Temporal Attention},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Texture Manifold for Ground Terrain Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xue_2018_CVPR,
author = {Xue, Jia and Zhang, Hang and Dana, Kristin},
title = {Deep Texture Manifold for Ground Terrain Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Superpixels With Segmentation-Aware Affinity Loss-
[pdf]
[supp]
[bibtex]@InProceedings{Tu_2018_CVPR,
author = {Tu, Wei-Chih and Liu, Ming-Yu and Jampani, Varun and Sun, Deqing and Chien, Shao-Yi and Yang, Ming-Hsuan and Kautz, Jan},
title = {Learning Superpixels With Segmentation-Aware Affinity Loss},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Interactive Image Segmentation With Latent Diversity-
[pdf]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Zhuwen and Chen, Qifeng and Koltun, Vladlen},
title = {Interactive Image Segmentation With Latent Diversity},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Richard and Isola, Phillip and Efros, Alexei A. and Shechtman, Eli and Wang, Oliver},
title = {The Unreasonable Effectiveness of Deep Features as a Perceptual Metric},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Local Descriptors Optimized for Average Precision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2018_CVPR,
author = {He, Kun and Lu, Yan and Sclaroff, Stan},
title = {Local Descriptors Optimized for Average Precision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Xintao and Yu, Ke and Dong, Chao and Loy, Chen Change},
title = {Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Extreme Cut: From Extreme Points to Object Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Maninis_2018_CVPR,
author = {Maninis, Kevis-Kokitsi and Caelles, Sergi and Pont-Tuset, Jordi and Van Gool, Luc},
title = {Deep Extreme Cut: From Extreme Points to Object Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Parse Wireframes in Images of Man-Made Environments-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2018_CVPR,
author = {Huang, Kun and Wang, Yifan and Zhou, Zihan and Ding, Tianjiao and Gao, Shenghua and Ma, Yi},
title = {Learning to Parse Wireframes in Images of Man-Made Environments},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Occlusion-Aware Rolling Shutter Rectification of 3D Scenes-
[pdf]
[supp]
[bibtex]@InProceedings{Vasu_2018_CVPR,
author = {Vasu, Subeesh and R., Mahesh Mohan M. and Rajagopalan, A. N.},
title = {Occlusion-Aware Rolling Shutter Rectification of 3D Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds-
[pdf]
[supp]
[bibtex]@InProceedings{Yi_2018_CVPR,
author = {Yi, Ran and Liu, Yong-Jin and Lai, Yu-Kun},
title = {Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Intrinsic Image Transformation via Scale Space Decomposition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2018_CVPR,
author = {Cheng, Lechao and Zhang, Chengyi and Liao, Zicheng},
title = {Intrinsic Image Transformation via Scale Space Decomposition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learned Shape-Tailored Descriptors for Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Khan_2018_CVPR,
author = {Khan, Naeemullah and Sundaramoorthi, Ganesh},
title = {Learned Shape-Tailored Descriptors for Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Dan and Ouyang, Wanli and Wang, Xiaogang and Sebe, Nicu},
title = {PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Image Semantic Matching by Mining Consistent Features-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Qianqian and Zhou, Xiaowei and Daniilidis, Kostas},
title = {Multi-Image Semantic Matching by Mining Consistent Features},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Density-Aware Single Image De-Raining Using a Multi-Stream Dense Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, He and Patel, Vishal M.},
title = {Density-Aware Single Image De-Raining Using a Multi-Stream Dense Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Joint Cuts and Matching of Partitions in One Graph-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Tianshu and Yan, Junchi and Zhao, Jieyi and Li, Baoxin},
title = {Joint Cuts and Matching of Partitions in One Graph},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Progressive Attention Guided Recurrent Network for Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Xiaoning and Wang, Tiantian and Qi, Jinqing and Lu, Huchuan and Wang, Gang},
title = {Progressive Attention Guided Recurrent Network for Salient Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fast and Accurate Single Image Super-Resolution via Information Distillation Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hui_2018_CVPR,
author = {Hui, Zheng and Wang, Xiumei and Gao, Xinbo},
title = {Fast and Accurate Single Image Super-Resolution via Information Distillation Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2018_CVPR,
author = {Lin, Kwan-Yee and Wang, Guanxiang},
title = {Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
NAG: Network for Adversary Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mopuri_2018_CVPR,
author = {Mopuri, Konda Reddy and Ojha, Utkarsh and Garg, Utsav and Babu, R. Venkatesh},
title = {NAG: Network for Adversary Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dynamic-Structured Semantic Propagation Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liang_2018_CVPR,
author = {Liang, Xiaodan and Zhou, Hongfei and Xing, Eric},
title = {Dynamic-Structured Semantic Propagation Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ren_2018_CVPR,
author = {Ren, Zhongzheng and Lee, Yong Jae},
title = {Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Two-Step Disentanglement Method-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hadad_2018_CVPR,
author = {Hadad, Naama and Wolf, Lior and Shahar, Moni},
title = {A Two-Step Disentanglement Method},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network-
[pdf]
[bibtex]@InProceedings{Merget_2018_CVPR,
author = {Merget, Daniel and Rock, Matthias and Rigoll, Gerhard},
title = {Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Decorrelated Batch Normalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2018_CVPR,
author = {Huang, Lei and Yang, Dawei and Lang, Bo and Deng, Jia},
title = {Decorrelated Batch Normalization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Sketch With Shortcut Cycle Consistency-
[pdf]
[arXiv]
[bibtex]@InProceedings{Song_2018_CVPR,
author = {Song, Jifei and Pang, Kaiyue and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M.},
title = {Learning to Sketch With Shortcut Cycle Consistency},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2018_CVPR,
author = {Shen, Hao},
title = {Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis-
[pdf]
[bibtex]@InProceedings{Shen_2018_CVPR,
author = {Shen, Yujun and Luo, Ping and Yan, Junjie and Wang, Xiaogang and Tang, Xiaoou},
title = {FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Constrained Deep Neural Network for Ordinal Regression-
[pdf]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Yanzhu and Kong, Adams Wai Kin and Goh, Chi Keong},
title = {A Constrained Deep Neural Network for Ordinal Regression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Modulated Convolutional Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Xiaodi and Zhang, Baochang and Li, Ce and Ji, Rongrong and Han, Jungong and Cao, Xianbin and Liu, Jianzhuang},
title = {Modulated Convolutional Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Steerable Filters for Rotation Equivariant CNNs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Weiler_2018_CVPR,
author = {Weiler, Maurice and Hamprecht, Fred A. and Storath, Martin},
title = {Learning Steerable Filters for Rotation Equivariant CNNs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Acuna_2018_CVPR,
author = {Acuna, David and Ling, Huan and Kar, Amlan and Fidler, Sanja},
title = {Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fey_2018_CVPR,
author = {Fey, Matthias and Lenssen, Jan Eric and Weichert, Frank and Müller, Heinrich},
title = {SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
GAGAN: Geometry-Aware Generative Adversarial Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kossaifi_2018_CVPR,
author = {Kossaifi, Jean and Tran, Linh and Panagakis, Yannis and Pantic, Maja},
title = {GAGAN: Geometry-Aware Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
On the Robustness of Semantic Segmentation Models to Adversarial Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Arnab_2018_CVPR,
author = {Arnab, Anurag and Miksik, Ondrej and Torr, Philip H.S.},
title = {On the Robustness of Semantic Segmentation Models to Adversarial Attacks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Tianlu and Yamaguchi, Kota and Ordonez, Vicente},
title = {Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes-
[pdf]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Xin and Fernando, Basura and Hartley, Richard and Porikli, Fatih},
title = {Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Frustum PointNets for 3D Object Detection From RGB-D Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qi_2018_CVPR,
author = {Qi, Charles R. and Liu, Wei and Wu, Chenxia and Su, Hao and Guibas, Leonidas J.},
title = {Frustum PointNets for 3D Object Detection From RGB-D Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Yongqiang and Bai, Yancheng and Ding, Mingli and Li, Yongqiang and Ghanem, Bernard},
title = {W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
3D Object Detection With Latent Support Surfaces-
[pdf]
[bibtex]@InProceedings{Ren_2018_CVPR,
author = {Ren, Zhile and Sudderth, Erik B.},
title = {3D Object Detection With Latent Support Surfaces},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Peihua and Xie, Jiangtao and Wang, Qilong and Gao, Zilin},
title = {Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Recurrent Scene Parsing With Perspective Understanding in the Loop-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kong_2018_CVPR,
author = {Kong, Shu and Fowlkes, Charless C.},
title = {Recurrent Scene Parsing With Perspective Understanding in the Loop},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors-
[pdf]
[supp]
[bibtex]@InProceedings{Noh_2018_CVPR,
author = {Noh, Junhyug and Lee, Soochan and Kim, Beomsu and Kim, Gunhee},
title = {Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Act Properly: Predicting and Explaining Affordances From Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chuang_2018_CVPR,
author = {Chuang, Ching-Yao and Li, Jiaman and Torralba, Antonio and Fidler, Sanja},
title = {Learning to Act Properly: Predicting and Explaining Affordances From Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Pointwise Convolutional Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hua_2018_CVPR,
author = {Hua, Binh-Son and Tran, Minh-Khoi and Yeung, Sai-Kit},
title = {Pointwise Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Deng_2018_CVPR,
author = {Deng, Weijian and Zheng, Liang and Ye, Qixiang and Kang, Guoliang and Yang, Yi and Jiao, Jianbin},
title = {Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2018_CVPR,
author = {Zhu, Yizhe and Elhoseiny, Mohamed and Liu, Bingchen and Peng, Xi and Elgammal, Ahmed},
title = {A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning-
[pdf]
[bibtex]@InProceedings{Hwang_2018_CVPR,
author = {Hwang, Seong Jae and Ravi, Sathya N. and Tao, Zirui and Kim, Hyunwoo J. and Collins, Maxwell D. and Singh, Vikas},
title = {Tensorize, Factorize and Regularize: Robust Visual Relationship Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Transductive Unbiased Embedding for Zero-Shot Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Song_2018_CVPR,
author = {Song, Jie and Shen, Chengchao and Yang, Yezhou and Liu, Yang and Song, Mingli},
title = {Transductive Unbiased Embedding for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Hierarchical Novelty Detection for Visual Object Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2018_CVPR,
author = {Lee, Kibok and Lee, Kimin and Min, Kyle and Zhang, Yuting and Shin, Jinwoo and Lee, Honglak},
title = {Hierarchical Novelty Detection for Visual Object Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Long and Zhang, Hanwang and Xiao, Jun and Liu, Wei and Chang, Shih-Fu},
title = {Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Rich Features for Image Manipulation Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Peng and Han, Xintong and Morariu, Vlad I. and Davis, Larry S.},
title = {Learning Rich Features for Image Manipulation Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Human Semantic Parsing for Person Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kalayeh_2018_CVPR,
author = {Kalayeh, Mahdi M. and Basaran, Emrah and Gökmen, Muhittin and Kamasak, Mustafa E. and Shah, Mubarak},
title = {Human Semantic Parsing for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Stacked Latent Attention for Multimodal Reasoning-
[pdf]
[bibtex]@InProceedings{Fan_2018_CVPR,
author = {Fan, Haoqi and Zhou, Jiatong},
title = {Stacked Latent Attention for Multimodal Reasoning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
R-FCN-3000 at 30fps: Decoupling Detection and Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Singh_2018_CVPR,
author = {Singh, Bharat and Li, Hengduo and Sharma, Abhishek and Davis, Larry S.},
title = {R-FCN-3000 at 30fps: Decoupling Detection and Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Yuhong and Zhang, Xiaofan and Chen, Deming},
title = {CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Revisiting Knowledge Transfer for Training Object Class Detectors-
[pdf]
[arXiv]
[bibtex]@InProceedings{Uijlings_2018_CVPR,
author = {Uijlings, Jasper and Popov, Stefan and Ferrari, Vittorio},
title = {Revisiting Knowledge Transfer for Training Object Class Detectors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kim_2018_CVPR,
author = {Kim, Edward and Hannan, Darryl and Kenyon, Garrett},
title = {Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
On the Convergence of PatchMatch and Its Variants-
[pdf]
[supp]
[bibtex]@InProceedings{Ehret_2018_CVPR,
author = {Ehret, Thibaud and Arias, Pablo},
title = {On the Convergence of PatchMatch and Its Variants},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Rethinking the Faster R-CNN Architecture for Temporal Action Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chao_2018_CVPR,
author = {Chao, Yu-Wei and Vijayanarasimhan, Sudheendra and Seybold, Bryan and Ross, David A. and Deng, Jia and Sukthankar, Rahul},
title = {Rethinking the Faster R-CNN Architecture for Temporal Action Localization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MoNet: Deep Motion Exploitation for Video Object Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Xiao_2018_CVPR,
author = {Xiao, Huaxin and Feng, Jiashi and Lin, Guosheng and Liu, Yu and Zhang, Maojun},
title = {MoNet: Deep Motion Exploitation for Video Object Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Video Representation Learning Using Discriminative Pooling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Jue and Cherian, Anoop and Porikli, Fatih and Gould, Stephen},
title = {Video Representation Learning Using Discriminative Pooling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Recognizing Human Actions as the Evolution of Pose Estimation Maps-
[pdf]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Mengyuan and Yuan, Junsong},
title = {Recognizing Human Actions as the Evolution of Pose Estimation Maps},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding-
[pdf]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Dapeng and Li, Hongsheng and Xiao, Tong and Yi, Shuai and Wang, Xiaogang},
title = {Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Mask-Guided Contrastive Attention Model for Person Re-Identification-
[pdf]
[supp]
[bibtex]@InProceedings{Song_2018_CVPR,
author = {Song, Chunfeng and Huang, Yan and Ouyang, Wanli and Wang, Liang},
title = {Mask-Guided Contrastive Attention Model for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Yuhua and Pont-Tuset, Jordi and Montes, Alberto and Van Gool, Luc},
title = {Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Compare: Relation Network for Few-Shot Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sung_2018_CVPR,
author = {Sung, Flood and Yang, Yongxin and Zhang, Li and Xiang, Tao and Torr, Philip H.S. and Hospedales, Timothy M.},
title = {Learning to Compare: Relation Network for Few-Shot Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
COCO-Stuff: Thing and Stuff Classes in Context-
[pdf]
[arXiv]
[bibtex]@InProceedings{Caesar_2018_CVPR,
author = {Caesar, Holger and Uijlings, Jasper and Ferrari, Vittorio},
title = {COCO-Stuff: Thing and Stuff Classes in Context},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Image Generation From Scene Graphs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Johnson_2018_CVPR,
author = {Johnson, Justin and Gupta, Agrim and Fei-Fei, Li},
title = {Image Generation From Scene Graphs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Cauchy Hashing for Hamming Space Retrieval-
[pdf]
[bibtex]@InProceedings{Cao_2018_CVPR,
author = {Cao, Yue and Long, Mingsheng and Liu, Bin and Wang, Jianmin},
title = {Deep Cauchy Hashing for Hamming Space Retrieval},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jayaraman_2018_CVPR,
author = {Jayaraman, Dinesh and Grauman, Kristen},
title = {Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Scale Location-Aware Kernel Representation for Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Hao and Wang, Qilong and Gao, Mingqi and Li, Peihua and Zuo, Wangmeng},
title = {Multi-Scale Location-Aware Kernel Representation for Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria-
[pdf]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Jufeng and Sun, Xiaoxiao and Liang, Jie and Rosin, Paul L.},
title = {Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Compare and Contrast: Learning Prominent Visual Differences-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Steven and Grauman, Kristen},
title = {Compare and Contrast: Learning Prominent Visual Differences},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ge_2018_CVPR,
author = {Ge, Weifeng and Yang, Sibei and Yu, Yizhou},
title = {Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN-
[pdf]
[bibtex]@InProceedings{Cao_2018_CVPR,
author = {Cao, Yue and Liu, Bin and Long, Mingsheng and Wang, Jianmin},
title = {HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Min-Entropy Latent Model for Weakly Supervised Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wan_2018_CVPR,
author = {Wan, Fang and Wei, Pengxu and Jiao, Jianbin and Han, Zhenjun and Ye, Qixiang},
title = {Min-Entropy Latent Model for Weakly Supervised Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MAttNet: Modular Attention Network for Referring Expression Comprehension-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Licheng and Lin, Zhe and Shen, Xiaohui and Yang, Jimei and Lu, Xin and Bansal, Mohit and Berg, Tamara L.},
title = {MAttNet: Modular Attention Network for Referring Expression Comprehension},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Tao and Zhang, Pengchuan and Huang, Qiuyuan and Zhang, Han and Gan, Zhe and Huang, Xiaolei and He, Xiaodong},
title = {AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Adversarial Complementary Learning for Weakly Supervised Object Localization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Xiaolin and Wei, Yunchao and Feng, Jiashi and Yang, Yi and Huang, Thomas S.},
title = {Adversarial Complementary Learning for Weakly Supervised Object Localization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Conditional Generative Adversarial Network for Structured Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Hong_2018_CVPR,
author = {Hong, Weixiang and Wang, Zhenzhen and Yang, Ming and Yuan, Junsong},
title = {Conditional Generative Adversarial Network for Structured Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
GroupCap: Group-Based Image Captioning With Structured Relevance and Diversity Constraints-
[pdf]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Fuhai and Ji, Rongrong and Sun, Xiaoshuai and Wu, Yongjian and Su, Jinsong},
title = {GroupCap: Group-Based Image Captioning With Structured Relevance and Diversity Constraints},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Xiang and You, Shaodi and Li, Xi and Ma, Huimin},
title = {Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Bootstrapping the Performance of Webly Supervised Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Shen_2018_CVPR,
author = {Shen, Tong and Lin, Guosheng and Shen, Chunhua and Reid, Ian},
title = {Bootstrapping the Performance of Webly Supervised Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Zhishuai and Xie, Cihang and Wang, Jianyu and Xie, Lingxi and Yuille, Alan L.},
title = {DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Geometry-Aware Scene Text Detection With Instance Transformation Network-
[pdf]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Fangfang and Zhao, Liming and Li, Xi and Wang, Xinchao and Tao, Dacheng},
title = {Geometry-Aware Scene Text Detection With Instance Transformation Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sun_2018_CVPR,
author = {Sun, Shuyang and Kuang, Zhanghui and Sheng, Lu and Ouyang, Wanli and Zhang, Wei},
title = {Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Motion-Guided Cascaded Refinement Network for Video Object Segmentation-
[pdf]
[bibtex]@InProceedings{Hu_2018_CVPR,
author = {Hu, Ping and Wang, Gang and Kong, Xiangfei and Kuen, Jason and Tan, Yap-Peng},
title = {Motion-Guided Cascaded Refinement Network for Video Object Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos-
[pdf]
[bibtex]@InProceedings{Lee_2018_CVPR,
author = {Lee, Sangho and Sung, Jinyoung and Yu, Youngjae and Kim, Gunhee},
title = {A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos-
[pdf]
[bibtex]@InProceedings{Cheng_2018_CVPR,
author = {Cheng, Hsien-Tzu and Chao, Chun-Hung and Dong, Jin-Dong and Wen, Hao-Kai and Liu, Tyng-Luh and Sun, Min},
title = {Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Appearance-and-Relation Networks for Video Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Limin and Li, Wei and Li, Wen and Van Gool, Luc},
title = {Appearance-and-Relation Networks for Video Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Excitation Backprop for RNNs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bargal_2018_CVPR,
author = {Bargal, Sarah Adel and Zunino, Andrea and Kim, Donghyun and Zhang, Jianming and Murino, Vittorio and Sclaroff, Stan},
title = {Excitation Backprop for RNNs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
One-Shot Action Localization by Learning Sequence Matching Network-
[pdf]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Hongtao and He, Xuming and Porikli, Fatih},
title = {One-Shot Action Localization by Learning Sequence Matching Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Structure Preserving Video Prediction-
[pdf]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Jingwei and Ni, Bingbing and Li, Zefan and Cheng, Shuo and Yang, Xiaokang},
title = {Structure Preserving Video Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Person Re-Identification With Cascaded Pairwise Convolutions-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Yicheng and Chen, Zhenzhong and Wu, Feng and Wang, Gang},
title = {Person Re-Identification With Cascaded Pairwise Convolutions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
On the Importance of Label Quality for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Zlateski_2018_CVPR,
author = {Zlateski, Aleksandar and Jaroensri, Ronnachai and Sharma, Prafull and Durand, Frédo},
title = {On the Importance of Label Quality for Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Scalable and Effective Deep CCA via Soft Decorrelation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chang_2018_CVPR,
author = {Chang, Xiaobin and Xiang, Tao and Hospedales, Timothy M.},
title = {Scalable and Effective Deep CCA via Soft Decorrelation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Duplex Generative Adversarial Network for Unsupervised Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2018_CVPR,
author = {Hu, Lanqing and Kan, Meina and Shan, Shiguang and Chen, Xilin},
title = {Duplex Generative Adversarial Network for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Edit Probability for Scene Text Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bai_2018_CVPR,
author = {Bai, Fan and Cheng, Zhanzhan and Niu, Yi and Pu, Shiliang and Zhou, Shuigeng},
title = {Edit Probability for Scene Text Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Global Versus Localized Generative Adversarial Nets-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qi_2018_CVPR,
author = {Qi, Guo-Jun and Zhang, Liheng and Hu, Hao and Edraki, Marzieh and Wang, Jingdong and Hua, Xian-Sheng},
title = {Global Versus Localized Generative Adversarial Nets},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MoCoGAN: Decomposing Motion and Content for Video Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tulyakov_2018_CVPR,
author = {Tulyakov, Sergey and Liu, Ming-Yu and Yang, Xiaodong and Kautz, Jan},
title = {MoCoGAN: Decomposing Motion and Content for Video Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Recurrent Residual Module for Fast Inference in Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pan_2018_CVPR,
author = {Pan, Bowen and Lin, Wuwei and Fang, Xiaolin and Huang, Chaoqin and Zhou, Bolei and Lu, Cewu},
title = {Recurrent Residual Module for Fast Inference in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Improving Landmark Localization With Semi-Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Honari_2018_CVPR,
author = {Honari, Sina and Molchanov, Pavlo and Tyree, Stephen and Vincent, Pascal and Pal, Christopher and Kautz, Jan},
title = {Improving Landmark Localization With Semi-Supervised Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pal_2018_CVPR,
author = {Pal, Arghya and Balasubramanian, Vineeth N.},
title = {Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Stochastic Variational Inference With Gradient Linearization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Plötz_2018_CVPR,
author = {Plötz, Tobias and Wannenwetsch, Anne S. and Roth, Stefan},
title = {Stochastic Variational Inference With Gradient Linearization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Label Zero-Shot Learning With Structured Knowledge Graphs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lee_2018_CVPR,
author = {Lee, Chung-Wei and Fang, Wei and Yeh, Chih-Kuan and Wang, Yu-Chiang Frank},
title = {Multi-Label Zero-Shot Learning With Structured Knowledge Graphs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gordon_2018_CVPR,
author = {Gordon, Ariel and Eban, Elad and Nachum, Ofir and Chen, Bo and Wu, Hao and Yang, Tien-Ju and Choi, Edward},
title = {MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Adversarial Subspace Clustering-
[pdf]
[bibtex]@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Pan and Hou, Yunqing and Feng, Jiashi},
title = {Deep Adversarial Subspace Clustering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Keze and Yan, Xiaopeng and Zhang, Dongyu and Zhang, Lei and Lin, Liang},
title = {Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Laude_2018_CVPR,
author = {Laude, Emanuel and Lange, Jan-Hendrik and Schüpfer, Jonas and Domokos, Csaba and Leal-Taixé, Laura and Schmidt, Frank R. and Andres, Bjoern and Cremers, Daniel},
title = {Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Robust Physical-World Attacks on Deep Learning Visual Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Eykholt_2018_CVPR,
author = {Eykholt, Kevin and Evtimov, Ivan and Fernandes, Earlence and Li, Bo and Rahmati, Amir and Xiao, Chaowei and Prakash, Atul and Kohno, Tadayoshi and Song, Dawn},
title = {Robust Physical-World Attacks on Deep Learning Visual Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Generating a Fusion Image: One's Identity and Another's Shape-
[pdf]
[arXiv]
[bibtex]@InProceedings{Joo_2018_CVPR,
author = {Joo, DongGyu and Kim, Doyeon and Kim, Junmo},
title = {Generating a Fusion Image: One's Identity and Another's Shape},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Promote Saliency Detectors-
[pdf]
[supp]
[bibtex]@InProceedings{Zeng_2018_CVPR,
author = {Zeng, Yu and Lu, Huchuan and Zhang, Lihe and Feng, Mengyang and Borji, Ali},
title = {Learning to Promote Saliency Detectors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Image Super-Resolution via Dual-State Recurrent Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Han_2018_CVPR,
author = {Han, Wei and Chang, Shiyu and Liu, Ding and Yu, Mo and Witbrock, Michael and Huang, Thomas S.},
title = {Image Super-Resolution via Dual-State Recurrent Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Back-Projection Networks for Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Haris_2018_CVPR,
author = {Haris, Muhammad and Shakhnarovich, Gregory and Ukita, Norimichi},
title = {Deep Back-Projection Networks for Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Focus Manipulation Detection via Photometric Histogram Analysis-
[pdf]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Can and McCloskey, Scott and Yu, Jingyi},
title = {Focus Manipulation Detection via Photometric Histogram Analysis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Compassionately Conservative Balanced Cuts for Image Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cahill_2018_CVPR,
author = {Cahill, Nathan D. and Hayes, Tyler L. and Meinhold, Renee T. and Hamilton, John F.},
title = {Compassionately Conservative Balanced Cuts for Image Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A High-Quality Denoising Dataset for Smartphone Cameras-
[pdf]
[bibtex]@InProceedings{Abdelhamed_2018_CVPR,
author = {Abdelhamed, Abdelrahman and Lin, Stephen and Brown, Michael S.},
title = {A High-Quality Denoising Dataset for Smartphone Cameras},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Context-Aware Synthesis for Video Frame Interpolation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Niklaus_2018_CVPR,
author = {Niklaus, Simon and Liu, Feng},
title = {Context-Aware Synthesis for Video Frame Interpolation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Salient Object Detection Driven by Fixation Prediction-
[pdf]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Wenguan and Shen, Jianbing and Dong, Xingping and Borji, Ali},
title = {Salient Object Detection Driven by Fixation Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior-
[pdf]
[supp]
[bibtex]@InProceedings{Jeon_2018_CVPR,
author = {Jeon, Daniel S. and Baek, Seung-Hwan and Choi, Inchang and Kim, Min H.},
title = {Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sironi_2018_CVPR,
author = {Sironi, Amos and Brambilla, Manuele and Bourdis, Nicolas and Lagorce, Xavier and Benosman, Ryad},
title = {HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Bi-Directional Message Passing Model for Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Lu and Dai, Ju and Lu, Huchuan and He, You and Wang, Gang},
title = {A Bi-Directional Message Passing Model for Salient Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Matching Pixels Using Co-Occurrence Statistics-
[pdf]
[bibtex]@InProceedings{Kat_2018_CVPR,
author = {Kat, Rotal and Jevnisek, Roy and Avidan, Shai},
title = {Matching Pixels Using Co-Occurrence Statistics},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Song_2018_CVPR,
author = {Song, Gwangmo and Myeong, Heesoo and Lee, Kyoung Mu},
title = {SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Jerk-Aware Video Acceleration Magnification-
[pdf]
[supp]
[bibtex]@InProceedings{Takeda_2018_CVPR,
author = {Takeda, Shoichiro and Okami, Kazuki and Mikami, Dan and Isogai, Megumi and Kimata, Hideaki},
title = {Jerk-Aware Video Acceleration Magnification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liao_2018_CVPR,
author = {Liao, Fangzhou and Liang, Ming and Dong, Yinpeng and Pang, Tianyu and Hu, Xiaolin and Zhu, Jun},
title = {Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Jifeng and Li, Xiang and Yang, Jian},
title = {Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Image Correction via Deep Reciprocating HDR Transformation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Xin and Xu, Ke and Song, Yibing and Zhang, Qiang and Wei, Xiaopeng and Lau, Rynson W.H.},
title = {Image Correction via Deep Reciprocating HDR Transformation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Prashnani_2018_CVPR,
author = {Prashnani, Ekta and Cai, Hong and Mostofi, Yasamin and Sen, Pradeep},
title = {PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Normalized Cut Loss for Weakly-Supervised CNN Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tang_2018_CVPR,
author = {Tang, Meng and Djelouah, Abdelaziz and Perazzi, Federico and Boykov, Yuri and Schroers, Christopher},
title = {Normalized Cut Loss for Weakly-Supervised CNN Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Jian and Ghanem, Bernard},
title = {ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fast End-to-End Trainable Guided Filter-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2018_CVPR,
author = {Wu, Huikai and Zheng, Shuai and Zhang, Junge and Huang, Kaiqi},
title = {Fast End-to-End Trainable Guided Filter},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Disentangling Structure and Aesthetics for Style-Aware Image Completion-
[pdf]
[supp]
[bibtex]@InProceedings{Gilbert_2018_CVPR,
author = {Gilbert, Andrew and Collomosse, John and Jin, Hailin and Price, Brian},
title = {Disentangling Structure and Aesthetics for Style-Aware Image Completion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning a Discriminative Feature Network for Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Changqian and Wang, Jingbo and Peng, Chao and Gao, Changxin and Yu, Gang and Sang, Nong},
title = {Learning a Discriminative Feature Network for Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Kernelized Subspace Pooling for Deep Local Descriptors-
[pdf]
[bibtex]@InProceedings{Wei_2018_CVPR,
author = {Wei, Xing and Zhang, Yue and Gong, Yihong and Zheng, Nanning},
title = {Kernelized Subspace Pooling for Deep Local Descriptors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment-
[pdf]
[bibtex]@InProceedings{Hong_2018_CVPR,
author = {Hong, Je Hyeong and Zach, Christopher},
title = {pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deformable Shape Completion With Graph Convolutional Autoencoders-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Litany_2018_CVPR,
author = {Litany, Or and Bronstein, Alex and Bronstein, Michael and Makadia, Ameesh},
title = {Deformable Shape Completion With Graph Convolutional Autoencoders},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gilani_2018_CVPR,
author = {Gilani, Syed Zulqarnain and Mian, Ajmal},
title = {Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles-
[pdf]
[supp]
[bibtex]@InProceedings{Reddy_2018_CVPR,
author = {Reddy, N. Dinesh and Vo, Minh and Narasimhan, Srinivasa G.},
title = {CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Material-Aware Cross-Spectral Stereo Matching-
[pdf]
[supp]
[bibtex]@InProceedings{Zhi_2018_CVPR,
author = {Zhi, Tiancheng and Pires, Bernardo R. and Hebert, Martial and Narasimhan, Srinivasa G.},
title = {Deep Material-Aware Cross-Spectral Stereo Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections-
[pdf]
[supp]
[bibtex]@InProceedings{Price_2018_CVPR,
author = {Price, True and Schönberger, Johannes L. and Wei, Zhen and Pollefeys, Marc and Frahm, Jan-Michael},
title = {Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Richter_2018_CVPR,
author = {Richter, Stephan R. and Roth, Stefan},
title = {Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Triplet-Center Loss for Multi-View 3D Object Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{He_2018_CVPR,
author = {He, Xinwei and Zhou, Yang and Zhou, Zhichao and Bai, Song and Bai, Xiang},
title = {Triplet-Center Loss for Multi-View 3D Object Retrieval},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning 3D Shape Completion From Laser Scan Data With Weak Supervision-
[pdf]
[supp]
[bibtex]@InProceedings{Stutz_2018_CVPR,
author = {Stutz, David and Geiger, Andreas},
title = {Learning 3D Shape Completion From Laser Scan Data With Weak Supervision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Georgakis_2018_CVPR,
author = {Georgakis, Georgios and Karanam, Srikrishna and Wu, Ziyan and Ernst, Jan and Košecká, Jana},
title = {End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM-
[pdf]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Haomin and Chen, Mingyu and Zhang, Guofeng and Bao, Hujun and Bao, Yingze},
title = {ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yin_2018_CVPR,
author = {Yin, Zhichao and Shi, Jianping},
title = {GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Radially-Distorted Conjugate Translations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pritts_2018_CVPR,
author = {Pritts, James and Kukelova, Zuzana and Larsson, Viktor and Chum, Ondřej},
title = {Radially-Distorted Conjugate Translations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Ordinal Regression Network for Monocular Depth Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fu_2018_CVPR,
author = {Fu, Huan and Gong, Mingming and Wang, Chaohui and Batmanghelich, Kayhan and Tao, Dacheng},
title = {Deep Ordinal Regression Network for Monocular Depth Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Miraldo_2018_CVPR,
author = {Miraldo, Pedro and Eiras, Francisco and Ramalingam, Srikumar},
title = {Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Depth From Monocular Videos Using Direct Methods-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Chaoyang and Buenaposada, José Miguel and Zhu, Rui and Lucey, Simon},
title = {Learning Depth From Monocular Videos Using Direct Methods},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Shizheng and Liao, Wenjuan and Surman, Phil and Tu, Zhigang and Zheng, Yuanjin and Yuan, Junsong},
title = {Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MegaDepth: Learning Single-View Depth Prediction From Internet Photos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Zhengqi and Snavely, Noah},
title = {MegaDepth: Learning Single-View Depth Prediction From Internet Photos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zou_2018_CVPR,
author = {Zou, Chuhang and Colburn, Alex and Shan, Qi and Hoiem, Derek},
title = {LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Batsos_2018_CVPR,
author = {Batsos, Konstantinos and Cai, Changjiang and Mordohai, Philippos},
title = {CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pang_2018_CVPR,
author = {Pang, Jiahao and Sun, Wenxiu and Yang, Chengxi and Ren, Jimmy and Xiao, Ruichao and Zeng, Jin and Lin, Liang},
title = {Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Exploring Disentangled Feature Representation Beyond Face Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Yu and Wei, Fangyin and Shao, Jing and Sheng, Lu and Yan, Junjie and Wang, Xiaogang},
title = {Exploring Disentangled Feature Representation Beyond Face Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Facial Action Units From Web Images With Scalable Weakly Supervised Clustering-
[pdf]
[bibtex]@InProceedings{Zhao_2018_CVPR,
author = {Zhao, Kaili and Chu, Wen-Sheng and Martinez, Aleix M.},
title = {Learning Facial Action Units From Web Images With Scalable Weakly Supervised Clustering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Human Pose Estimation With Parsing Induced Learner-
[pdf]
[bibtex]@InProceedings{Nie_2018_CVPR,
author = {Nie, Xuecheng and Feng, Jiashi and Zuo, Yiming and Yan, Shuicheng},
title = {Human Pose Estimation With Parsing Induced Learner},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Level Factorisation Net for Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chang_2018_CVPR,
author = {Chang, Xiaobin and Hospedales, Timothy M. and Xiang, Tao},
title = {Multi-Level Factorisation Net for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Attention-Aware Compositional Network for Person Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Jing and Zhao, Rui and Zhu, Feng and Wang, Huaming and Ouyang, Wanli},
title = {Attention-Aware Compositional Network for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Look at Boundary: A Boundary-Aware Face Alignment Algorithm-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2018_CVPR,
author = {Wu, Wayne and Qian, Chen and Yang, Shuo and Wang, Quan and Cai, Yici and Zhou, Qiang},
title = {Look at Boundary: A Boundary-Aware Face Alignment Algorithm},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Demo2Vec: Reasoning Object Affordances From Online Videos-
[pdf]
[bibtex]@InProceedings{Fang_2018_CVPR,
author = {Fang, Kuan and Wu, Te-Lin and Yang, Daniel and Savarese, Silvio and Lim, Joseph J.},
title = {Demo2Vec: Reasoning Object Affordances From Online Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes - The Importance of Multiple Scene Constraints-
[pdf]
[bibtex]@InProceedings{Zanfir_2018_CVPR,
author = {Zanfir, Andrei and Marinoiu, Elisabeta and Sminchisescu, Cristian},
title = {Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes - The Importance of Multiple Scene Constraints},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism-
[pdf]
[bibtex]@InProceedings{Marinoiu_2018_CVPR,
author = {Marinoiu, Elisabeta and Zanfir, Mihai and Olaru, Vlad and Sminchisescu, Cristian},
title = {3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Facial Expression Recognition by De-Expression Residue Learning-
[pdf]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Huiyuan and Ciftci, Umur and Yin, Lijun},
title = {Facial Expression Recognition by De-Expression Residue Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Yuanlu and Qin, Lei and Liu, Xiaobai and Xie, Jianwen and Zhu, Song-Chun},
title = {A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Weakly Supervised Facial Action Unit Recognition Through Adversarial Training-
[pdf]
[bibtex]@InProceedings{Peng_2018_CVPR,
author = {Peng, Guozhu and Wang, Shangfei},
title = {Weakly Supervised Facial Action Unit Recognition Through Adversarial Training},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Non-Linear Temporal Subspace Representations for Activity Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cherian_2018_CVPR,
author = {Cherian, Anoop and Sra, Suvrit and Gould, Stephen and Hartley, Richard},
title = {Non-Linear Temporal Subspace Representations for Activity Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Towards Pose Invariant Face Recognition in the Wild-
[pdf]
[bibtex]@InProceedings{Zhao_2018_CVPR,
author = {Zhao, Jian and Cheng, Yu and Xu, Yan and Xiong, Lin and Li, Jianshu and Zhao, Fang and Jayashree, Karlekar and Pranata, Sugiri and Shen, Shengmei and Xing, Junliang and Yan, Shuicheng and Feng, Jiashi},
title = {Towards Pose Invariant Face Recognition in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unifying Identification and Context Learning for Person Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2018_CVPR,
author = {Huang, Qingqiu and Xiong, Yu and Lin, Dahua},
title = {Unifying Identification and Context Learning for Person Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Peng_2018_CVPR,
author = {Peng, Xi and Tang, Zhiqiang and Yang, Fei and Feris, Rogerio S. and Metaxas, Dimitris},
title = {Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Feng_2018_CVPR,
author = {Feng, Zhen-Hua and Kittler, Josef and Awais, Muhammad and Huber, Patrik and Wu, Xiao-Jun},
title = {Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multiple Granularity Group Interaction Prediction-
[pdf]
[bibtex]@InProceedings{Yao_2018_CVPR,
author = {Yao, Taiping and Wang, Minsi and Ni, Bingbing and Wei, Huawei and Yang, Xiaokang},
title = {Multiple Granularity Group Interaction Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gupta_2018_CVPR,
author = {Gupta, Agrim and Johnson, Justin and Fei-Fei, Li and Savarese, Silvio and Alahi, Alexandre},
title = {Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Group-Shuffling Random Walk for Person Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shen_2018_CVPR,
author = {Shen, Yantao and Li, Hongsheng and Xiao, Tong and Yi, Shuai and Chen, Dapeng and Wang, Xiaogang},
title = {Deep Group-Shuffling Random Walk for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Jingya and Zhu, Xiatian and Gong, Shaogang and Li, Wei},
title = {Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Harmonious Attention Network for Person Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Wei and Zhu, Xiatian and Gong, Shaogang},
title = {Harmonious Attention Network for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shi_2018_CVPR,
author = {Shi, Xuepeng and Shan, Shiguang and Kan, Meina and Wu, Shuzhe and Chen, Xilin},
title = {Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Regression Forests for Age Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shen_2018_CVPR,
author = {Shen, Wei and Guo, Yilu and Wang, Yan and Zhao, Kai and Wang, Bo and Yuille, Alan L.},
title = {Deep Regression Forests for Age Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Yong and Dong, Weiming and Hu, Bao-Gang and Ji, Qiang},
title = {Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Memory Based Online Learning of Deep Representations From Video Streams-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pernici_2018_CVPR,
author = {Pernici, Federico and Bartoli, Federico and Bruni, Matteo and Del Bimbo, Alberto},
title = {Memory Based Online Learning of Deep Representations From Video Streams},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Efficient and Deep Person Re-Identification Using Multi-Level Similarity-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2018_CVPR,
author = {Guo, Yiluan and Cheung, Ngai-Man},
title = {Efficient and Deep Person Re-Identification Using Multi-Level Similarity},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Level Fusion Based 3D Object Detection From Monocular Images-
[pdf]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Bin and Chen, Zhenzhong},
title = {Multi-Level Fusion Based 3D Object Detection From Monocular Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Perceptual Measure for Deep Single Image Camera Calibration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hold-Geoffroy_2018_CVPR,
author = {Hold-Geoffroy, Yannick and Sunkavalli, Kalyan and Eisenmann, Jonathan and Fisher, Matthew and Gambaretto, Emiliano and Hadap, Sunil and Lalonde, Jean-François},
title = {A Perceptual Measure for Deep Single Image Camera Calibration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xiong_2018_CVPR,
author = {Xiong, Wei and Luo, Wenhan and Ma, Lin and Liu, Wei and Luo, Jiebo},
title = {Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Document Enhancement Using Visibility Detection-
[pdf]
[bibtex]@InProceedings{Kligler_2018_CVPR,
author = {Kligler, Netanel and Katz, Sagi and Tal, Ayellet},
title = {Document Enhancement Using Visibility Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Silva_2018_CVPR,
author = {Silva, Michel and Ramos, Washington and Ferreira, João and Chamone, Felipe and Campos, Mario and Nascimento, Erickson R.},
title = {A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation-
[pdf]
[video]
[bibtex]@InProceedings{Ding_2018_CVPR,
author = {Ding, Henghui and Jiang, Xudong and Shuai, Bing and Liu, Ai Qun and Wang, Gang},
title = {Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Layer Aggregation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Fisher and Wang, Dequan and Shelhamer, Evan and Darrell, Trevor},
title = {Deep Layer Aggregation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Convolutional Neural Networks With Alternately Updated Clique-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Yibo and Zhong, Zhisheng and Shen, Tiancheng and Lin, Zhouchen},
title = {Convolutional Neural Networks With Alternately Updated Clique},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Practical Block-Wise Neural Network Architecture Generation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhong_2018_CVPR,
author = {Zhong, Zhao and Yan, Junjie and Wu, Wei and Shao, Jing and Liu, Cheng-Lin},
title = {Practical Block-Wise Neural Network Architecture Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Kligvasser_2018_CVPR,
author = {Kligvasser, Idan and Shaham, Tamar Rott and Michaeli, Tomer},
title = {xUnit: Learning a Spatial Activation Function for Efficient Image Restoration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Ke and Dong, Chao and Lin, Liang and Loy, Chen Change},
title = {Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deformation Aware Image Compression-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Shaham_2018_CVPR,
author = {Shaham, Tamar Rott and Michaeli, Tomer},
title = {Deformation Aware Image Compression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Distributable Consistent Multi-Object Matching-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Hu_2018_CVPR,
author = {Hu, Nan and Huang, Qixing and Thibert, Boris and Guibas, Leonidas J.},
title = {Distributable Consistent Multi-Object Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Residual Dense Network for Image Super-Resolution-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Yulun and Tian, Yapeng and Kong, Yu and Zhong, Bineng and Fu, Yun},
title = {Residual Dense Network for Image Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Attentive Generative Adversarial Network for Raindrop Removal From a Single Image-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Qian_2018_CVPR,
author = {Qian, Rui and Tan, Robby T. and Yang, Wenhan and Su, Jiajun and Liu, Jiaying},
title = {Attentive Generative Adversarial Network for Raindrop Removal From a Single Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Yu and Tai, Ying and Liu, Xiaoming and Shen, Chunhua and Yang, Jian},
title = {FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Burst Denoising With Kernel Prediction Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Mildenhall_2018_CVPR,
author = {Mildenhall, Ben and Barron, Jonathan T. and Chen, Jiawen and Sharlet, Dillon and Ng, Ren and Carroll, Robert},
title = {Burst Denoising With Kernel Prediction Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Qu_2018_CVPR,
author = {Qu, Ying and Qi, Hairong and Kwan, Chiman},
title = {Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks-
[pdf]
[video]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Jiawei and Pan, Jinshan and Ren, Jimmy and Song, Yibing and Bao, Linchao and Lau, Rynson W.H. and Yang, Ming-Hsuan},
title = {Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SPLATNet: Sparse Lattice Networks for Point Cloud Processing-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Su_2018_CVPR,
author = {Su, Hang and Jampani, Varun and Sun, Deqing and Maji, Subhransu and Kalogerakis, Evangelos and Yang, Ming-Hsuan and Kautz, Jan},
title = {SPLATNet: Sparse Lattice Networks for Point Cloud Processing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Surface Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Kostrikov_2018_CVPR,
author = {Kostrikov, Ilya and Jiang, Zhongshi and Panozzo, Daniele and Zorin, Denis and Bruna, Joan},
title = {Surface Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Tewari_2018_CVPR,
author = {Tewari, Ayush and Zollhöfer, Michael and Garrido, Pablo and Bernard, Florian and Kim, Hyeongwoo and Pérez, Patrick and Theobalt, Christian},
title = {Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Bloesch_2018_CVPR,
author = {Bloesch, Michael and Czarnowski, Jan and Clark, Ronald and Leutenegger, Stefan and Davison, Andrew J.},
title = {CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Weiyue and Yu, Ronald and Huang, Qiangui and Neumann, Ulrich},
title = {SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PlaneNet: Piece-Wise Planar Reconstruction From a Single RGB Image-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Chen and Yang, Jimei and Ceylan, Duygu and Yumer, Ersin and Furukawa, Yasutaka},
title = {PlaneNet: Piece-Wise Planar Reconstruction From a Single RGB Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Parametric Continuous Convolutional Neural Networks-
[pdf]
[video]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Shenlong and Suo, Simon and Ma, Wei-Chiu and Pokrovsky, Andrei and Urtasun, Raquel},
title = {Deep Parametric Continuous Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Verma_2018_CVPR,
author = {Verma, Nitika and Boyer, Edmond and Verbeek, Jakob},
title = {FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Image Collection Pop-Up: 3D Reconstruction and Clustering of Rigid and Non-Rigid Categories-
[pdf]
[video]
[bibtex]@InProceedings{Agudo_2018_CVPR,
author = {Agudo, Antonio and Pijoan, Melcior and Moreno-Noguer, Francesc},
title = {Image Collection Pop-Up: 3D Reconstruction and Clustering of Rigid and Non-Rigid Categories},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Geometry-Aware Learning of Maps for Camera Localization-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Brahmbhatt_2018_CVPR,
author = {Brahmbhatt, Samarth and Gu, Jinwei and Kim, Kihwan and Hays, James and Kautz, Jan},
title = {Geometry-Aware Learning of Maps for Camera Localization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Recurrent Slice Networks for 3D Segmentation of Point Clouds-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Huang_2018_CVPR,
author = {Huang, Qiangui and Wang, Weiyue and Neumann, Ulrich},
title = {Recurrent Slice Networks for 3D Segmentation of Point Clouds},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yuan_2018_CVPR,
author = {Yuan, Shanxin and Garcia-Hernando, Guillermo and Stenger, Björn and Moon, Gyeongsik and Chang, Ju Yong and Lee, Kyoung Mu and Molchanov, Pavlo and Kautz, Jan and Honari, Sina and Ge, Liuhao and Yuan, Junsong and Chen, Xinghao and Wang, Guijin and Yang, Fan and Akiyama, Kai and Wu, Yang and Wan, Qingfu and Madadi, Meysam and Escalera, Sergio and Li, Shile and Lee, Dongheui and Oikonomidis, Iason and Argyros, Antonis and Kim, Tae-Kyun},
title = {Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-Rigid Motion-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Slavcheva_2018_CVPR,
author = {Slavcheva, Miroslava and Baust, Maximilian and Ilic, Slobodan},
title = {SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-Rigid Motion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Kundu_2018_CVPR,
author = {Kundu, Jogendra Nath and Uppala, Phani Krishna and Pahuja, Anuj and Babu, R. Venkatesh},
title = {AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Find Good Correspondences-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Yi_2018_CVPR,
author = {Yi, Kwang Moo and Trulls, Eduard and Ono, Yuki and Lepetit, Vincent and Salzmann, Mathieu and Fua, Pascal},
title = {Learning to Find Good Correspondences},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
OATM: Occlusion Aware Template Matching by Consensus Set Maximization-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Korman_2018_CVPR,
author = {Korman, Simon and Milam, Mark and Soatto, Stefano},
title = {OATM: Occlusion Aware Template Matching by Consensus Set Maximization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Learning of Graph Matching-
[pdf]
[video]
[bibtex]@InProceedings{Zanfir_2018_CVPR,
author = {Zanfir, Andrei and Sminchisescu, Cristian},
title = {Deep Learning of Graph Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Discovery of Object Landmarks as Structural Representations-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Yuting and Guo, Yijie and Jin, Yixin and Luo, Yijun and He, Zhiyuan and Lee, Honglak},
title = {Unsupervised Discovery of Object Landmarks as Structural Representations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Jacob_2018_CVPR,
author = {Jacob, Benoit and Kligys, Skirmantas and Chen, Bo and Zhu, Menglong and Tang, Matthew and Howard, Andrew and Adam, Hartwig and Kalenichenko, Dmitry},
title = {Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Lean Multiclass Crowdsourcing-
[pdf]
[video]
[bibtex]@InProceedings{Horn_2018_CVPR,
author = {Van Horn, Grant and Branson, Steve and Loarie, Scott and Belongie, Serge and Perona, Pietro},
title = {Lean Multiclass Crowdsourcing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Partial Transfer Learning With Selective Adversarial Networks-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Cao_2018_CVPR,
author = {Cao, Zhangjie and Long, Mingsheng and Wang, Jianmin and Jordan, Michael I.},
title = {Partial Transfer Learning With Selective Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Self-Supervised Feature Learning by Learning to Spot Artifacts-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Jenni_2018_CVPR,
author = {Jenni, Simon and Favaro, Paolo},
title = {Self-Supervised Feature Learning by Learning to Spot Artifacts},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
LDMNet: Low Dimensional Manifold Regularized Neural Networks-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Zhu_2018_CVPR,
author = {Zhu, Wei and Qiu, Qiang and Huang, Jiaji and Calderbank, Robert and Sapiro, Guillermo and Daubechies, Ingrid},
title = {LDMNet: Low Dimensional Manifold Regularized Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Huang_2018_CVPR,
author = {Huang, Gao and Liu, Shichen and van der Maaten, Laurens and Weinberger, Kilian Q.},
title = {CondenseNet: An Efficient DenseNet Using Learned Group Convolutions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Deep Descriptors With Scale-Aware Triplet Networks-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Keller_2018_CVPR,
author = {Keller, Michel and Chen, Zetao and Maffra, Fabiola and Schmuck, Patrik and Chli, Margarita},
title = {Learning Deep Descriptors With Scale-Aware Triplet Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Decoupled Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Weiyang and Liu, Zhen and Yu, Zhiding and Dai, Bo and Lin, Rongmei and Wang, Yisen and Rehg, James M. and Song, Le},
title = {Decoupled Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Adversarial Metric Learning-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Duan_2018_CVPR,
author = {Duan, Yueqi and Zheng, Wenzhao and Lin, Xudong and Lu, Jiwen and Zhou, Jie},
title = {Deep Adversarial Metric Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PU-Net: Point Cloud Upsampling Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Lequan and Li, Xianzhi and Fu, Chi-Wing and Cohen-Or, Daniel and Heng, Pheng-Ann},
title = {PU-Net: Point Cloud Upsampling Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer-
[pdf]
[bibtex]@InProceedings{Atapour-Abarghouei_2018_CVPR,
author = {Atapour-Abarghouei, Amir and Breckon, Toby P.},
title = {Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning for Disparity Estimation Through Feature Constancy-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liang_2018_CVPR,
author = {Liang, Zhengfa and Feng, Yiliu and Guo, Yulan and Liu, Hengzhu and Chen, Wei and Qiao, Linbo and Zhou, Li and Zhang, Jianfeng},
title = {Learning for Disparity Estimation Through Feature Constancy},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DeepMVS: Learning Multi-View Stereopsis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2018_CVPR,
author = {Huang, Po-Han and Matzen, Kevin and Kopf, Johannes and Ahuja, Narendra and Huang, Jia-Bin},
title = {DeepMVS: Learning Multi-View Stereopsis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Self-Calibrating Polarising Radiometric Calibration-
[pdf]
[supp]
[bibtex]@InProceedings{Teo_2018_CVPR,
author = {Teo, Daniel and Shi, Boxin and Zheng, Yinqiang and Yeung, Sai-Kit},
title = {Self-Calibrating Polarising Radiometric Calibration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Coding Kendall's Shape Trajectories for 3D Action Recognition-
[pdf]
[bibtex]@InProceedings{Tanfous_2018_CVPR,
author = {Ben Tanfous, Amor and Drira, Hassen and Ben Amor, Boulbaba},
title = {Coding Kendall's Shape Trajectories for 3D Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Turek_2018_CVPR,
author = {Turek, Javier S. and Huth, Alexander G.},
title = {Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Motion Segmentation by Exploiting Complementary Geometric Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Xun and Cheong, Loong Fah and Li, Zhuwen},
title = {Motion Segmentation by Exploiting Complementary Geometric Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shi_2018_CVPR,
author = {Shi, Yunpeng and Lerman, Gilad},
title = {Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
4D Human Body Correspondences From Panoramic Depth Maps-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Zhong and Wu, Minye and Zhou, Wangyiteng and Yu, Jingyi},
title = {4D Human Body Correspondences From Panoramic Depth Maps},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves-
[pdf]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Shiwei and Yao, Yao and Fang, Tian and Quan, Long},
title = {Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tulsiani_2018_CVPR,
author = {Tulsiani, Shubham and Efros, Alexei A. and Malik, Jitendra},
title = {Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Probabilistic Plant Modeling via Multi-View Image-to-Image Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Isokane_2018_CVPR,
author = {Isokane, Takahiro and Okura, Fumio and Ide, Ayaka and Matsushita, Yasuyuki and Yagi, Yasushi},
title = {Probabilistic Plant Modeling via Multi-View Image-to-Image Translation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Marching Cubes: Learning Explicit Surface Representations-
[pdf]
[bibtex]@InProceedings{Liao_2018_CVPR,
author = {Liao, Yiyi and Donné, Simon and Geiger, Andreas},
title = {Deep Marching Cubes: Learning Explicit Surface Representations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Tags2Parts: Discovering Semantic Regions From Shape Tags-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Muralikrishnan_2018_CVPR,
author = {Muralikrishnan, Sanjeev and Kim, Vladimir G. and Chaudhuri, Siddhartha},
title = {Tags2Parts: Discovering Semantic Regions From Shape Tags},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Uncalibrated Photometric Stereo Under Natural Illumination-
[pdf]
[bibtex]@InProceedings{Mo_2018_CVPR,
author = {Mo, Zhipeng and Shi, Boxin and Lu, Feng and Yeung, Sai-Kit and Matsushita, Yasuyuki},
title = {Uncalibrated Photometric Stereo Under Natural Illumination},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Robust Depth Estimation From Auto Bracketed Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Im_2018_CVPR,
author = {Im, Sunghoon and Jeon, Hae-Gon and Kweon, In So},
title = {Robust Depth Estimation From Auto Bracketed Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Free Supervision From Video Games-
[pdf]
[bibtex]@InProceedings{Krähenbühl_2018_CVPR,
author = {Krähenbühl, Philipp},
title = {Free Supervision From Video Games},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Planar Shape Detection at Structural Scales-
[pdf]
[bibtex]@InProceedings{Fang_2018_CVPR,
author = {Fang, Hao and Lafarge, Florent and Desbrun, Mathieu},
title = {Planar Shape Detection at Structural Scales},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sun_2018_CVPR,
author = {Sun, Xingyuan and Wu, Jiajun and Zhang, Xiuming and Zhang, Zhoutong and Zhang, Chengkai and Xue, Tianfan and Tenenbaum, Joshua B. and Freeman, William T.},
title = {Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Camera Pose Estimation With Unknown Principal Point-
[pdf]
[supp]
[bibtex]@InProceedings{Larsson_2018_CVPR,
author = {Larsson, Viktor and Kukelova, Zuzana and Zheng, Yinqiang},
title = {Camera Pose Estimation With Unknown Principal Point},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Inverse Composition Discriminative Optimization for Point Cloud Registration-
[pdf]
[supp]
[bibtex]@InProceedings{Vongkulbhisal_2018_CVPR,
author = {Vongkulbhisal, Jayakorn and Ugalde, Beñat Irastorza and De la Torre, Fernando and Costeira, João P.},
title = {Inverse Composition Discriminative Optimization for Point Cloud Registration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SurfConv: Bridging 3D and 2D Convolution for RGBD Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chu_2018_CVPR,
author = {Chu, Hang and Ma, Wei-Chiu and Kundu, Kaustav and Urtasun, Raquel and Fidler, Sanja},
title = {SurfConv: Bridging 3D and 2D Convolution for RGBD Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Fast Resection-Intersection Method for the Known Rotation Problem-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Qianggong and Chin, Tat-Jun and Le, Huu Minh},
title = {A Fast Resection-Intersection Method for the Known Rotation Problem},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Grabner_2018_CVPR,
author = {Grabner, Alexander and Roth, Peter M. and Lepetit, Vincent},
title = {3D Pose Estimation and 3D Model Retrieval for Objects in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Structure From Recurrent Motion: From Rigidity to Recurrency-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Xiu and Li, Hongdong and Joo, Hanbyul and Liu, Yebin and Sheikh, Yaser},
title = {Structure From Recurrent Motion: From Rigidity to Recurrency},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Patch Reconstructability for Accelerating Multi-View Stereo-
[pdf]
[bibtex]@InProceedings{Poms_2018_CVPR,
author = {Poms, Alex and Wu, Chenglei and Yu, Shoou-I and Sheikh, Yaser},
title = {Learning Patch Reconstructability for Accelerating Multi-View Stereo},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Hao and Li, Youfu},
title = {Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shin_2018_CVPR,
author = {Shin, Daeyun and Fowlkes, Charless C. and Hoiem, Derek},
title = {Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Dual Convolutional Neural Networks for Low-Level Vision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pan_2018_CVPR,
author = {Pan, Jinshan and Liu, Sifei and Sun, Deqing and Zhang, Jiawei and Liu, Yang and Ren, Jimmy and Li, Zechao and Tang, Jinhui and Lu, Huchuan and Tai, Yu-Wing and Yang, Ming-Hsuan},
title = {Learning Dual Convolutional Neural Networks for Low-Level Vision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network-
[pdf]
[bibtex]@InProceedings{Zhao_2018_CVPR,
author = {Zhao, Wenda and Zhao, Fan and Wang, Dong and Lu, Huchuan},
title = {Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Nian and Han, Junwei and Yang, Ming-Hsuan},
title = {PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Curve Reconstruction via the Global Statistics of Natural Curves-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Barnea_2018_CVPR,
author = {Barnea, Ehud and Ben-Shahar, Ohad},
title = {Curve Reconstruction via the Global Statistics of Natural Curves},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
What Do Deep Networks Like to See?-
[pdf]
[arXiv]
[bibtex]@InProceedings{Palacio_2018_CVPR,
author = {Palacio, Sebastian and Folz, Joachim and Hees, Jörn and Raue, Federico and Borth, Damian and Dengel, Andreas},
title = {What Do Deep Networks Like to See?},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
“Zero-Shot” Super-Resolution Using Deep Internal Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shocher_2018_CVPR,
author = {Shocher, Assaf and Cohen, Nadav and Irani, Michal},
title = {“Zero-Shot” Super-Resolution Using Deep Internal Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection-
[pdf]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Tiantian and Zhang, Lihe and Wang, Shuo and Lu, Huchuan and Yang, Gang and Ruan, Xiang and Borji, Ali},
title = {Detect Globally, Refine Locally: A Novel Approach to Saliency Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Beyond the Pixel-Wise Loss for Topology-Aware Delineation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mosinska_2018_CVPR,
author = {Mosinska, Agata and Márquez-Neila, Pablo and Koziński, Mateusz and Fua, Pascal},
title = {Beyond the Pixel-Wise Loss for Topology-Aware Delineation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
KIPPI: KInetic Polygonal Partitioning of Images-
[pdf]
[bibtex]@InProceedings{Bauchet_2018_CVPR,
author = {Bauchet, Jean-Philippe and Lafarge, Florent},
title = {KIPPI: KInetic Polygonal Partitioning of Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Image Blind Denoising With Generative Adversarial Network Based Noise Modeling-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Jingwen and Chen, Jiawei and Chao, Hongyang and Yang, Ming},
title = {Image Blind Denoising With Generative Adversarial Network Based Noise Modeling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Scale Weighted Nuclear Norm Image Restoration-
[pdf]
[supp]
[bibtex]@InProceedings{Yair_2018_CVPR,
author = {Yair, Noam and Michaeli, Tomer},
title = {Multi-Scale Weighted Nuclear Norm Image Restoration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MoNet: Moments Embedding Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gou_2018_CVPR,
author = {Gou, Mengran and Xiong, Fei and Camps, Octavia and Sznaier, Mario},
title = {MoNet: Moments Embedding Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Active Fixation Control to Predict Saccade Sequences-
[pdf]
[supp]
[bibtex]@InProceedings{Wloka_2018_CVPR,
author = {Wloka, Calden and Kotseruba, Iuliia and Tsotsos, John K.},
title = {Active Fixation Control to Predict Saccade Sequences},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Densely Connected Pyramid Dehazing Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, He and Patel, Vishal M.},
title = {Densely Connected Pyramid Dehazing Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Universal Denoising Networks : A Novel CNN Architecture for Image Denoising-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lefkimmiatis_2018_CVPR,
author = {Lefkimmiatis, Stamatios},
title = {Universal Denoising Networks : A Novel CNN Architecture for Image Denoising},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Convolutional Networks for Content-Weighted Image Compression-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Mu and Zuo, Wangmeng and Gu, Shuhang and Zhao, Debin and Zhang, David},
title = {Learning Convolutional Networks for Content-Weighted Image Compression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation-
[pdf]
[supp]
[bibtex]@InProceedings{Jo_2018_CVPR,
author = {Jo, Younghyun and Oh, Seoung Wug and Kang, Jaeyeon and Kim, Seon Joo},
title = {Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Jiaying and Yang, Wenhan and Yang, Shuai and Guo, Zongming},
title = {Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Guanbin and Xie, Yuan and Wei, Tianhao and Wang, Keze and Lin, Liang},
title = {Flow Guided Recurrent Neural Encoder for Video Salient Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Gated Fusion Network for Single Image Dehazing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ren_2018_CVPR,
author = {Ren, Wenqi and Ma, Lin and Zhang, Jiawei and Pan, Jinshan and Cao, Xiaochun and Liu, Wei and Yang, Ming-Hsuan},
title = {Gated Fusion Network for Single Image Dehazing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Kai and Zuo, Wangmeng and Zhang, Lei},
title = {Learning a Single Convolutional Super-Resolution Network for Multiple Degradations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Non-Blind Deblurring: Handling Kernel Uncertainty With CNNs-
[pdf]
[supp]
[bibtex]@InProceedings{Vasu_2018_CVPR,
author = {Vasu, Subeesh and Maligireddy, Venkatesh Reddy and Rajagopalan, A. N.},
title = {Non-Blind Deblurring: Handling Kernel Uncertainty With CNNs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lei_2018_CVPR,
author = {Lei, Peng and Li, Fuxin and Todorovic, Sinisa},
title = {Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to See in the Dark-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Chen and Chen, Qifeng and Xu, Jia and Koltun, Vladlen},
title = {Learning to See in the Dark},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Ziming and Wu, Yuanwei and Wang, Guanghui},
title = {BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Perturbative Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Juefei-Xu_2018_CVPR,
author = {Juefei-Xu, Felix and Boddeti, Vishnu Naresh and Savvides, Marios},
title = {Perturbative Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Correlation Analysis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hoshen_2018_CVPR,
author = {Hoshen, Yedid and Wolf, Lior},
title = {Unsupervised Correlation Analysis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Biresolution Spectral Framework for Product Quantization-
[pdf]
[bibtex]@InProceedings{Mukherjee_2018_CVPR,
author = {Mukherjee, Lopamudra and Ravi, Sathya N. and Peng, Jiming and Singh, Vikas},
title = {A Biresolution Spectral Framework for Product Quantization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Domain Adaptive Faster R-CNN for Object Detection in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Yuhua and Li, Wen and Sakaridis, Christos and Dai, Dengxin and Van Gool, Luc},
title = {Domain Adaptive Faster R-CNN for Object Detection in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Low-Shot Learning With Large-Scale Diffusion-
[pdf]
[arXiv]
[bibtex]@InProceedings{Douze_2018_CVPR,
author = {Douze, Matthijs and Szlam, Arthur and Hariharan, Bharath and Jégou, Hervé},
title = {Low-Shot Learning With Large-Scale Diffusion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Joint Pose and Expression Modeling for Facial Expression Recognition-
[pdf]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Feifei and Zhang, Tianzhu and Mao, Qirong and Xu, Changsheng},
title = {Joint Pose and Expression Modeling for Facial Expression Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Lightweight Probabilistic Deep Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gast_2018_CVPR,
author = {Gast, Jochen and Roth, Stefan},
title = {Lightweight Probabilistic Deep Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Adversarially Learned One-Class Classifier for Novelty Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sabokrou_2018_CVPR,
author = {Sabokrou, Mohammad and Khalooei, Mohammad and Fathy, Mahmood and Adeli, Ehsan},
title = {Adversarially Learned One-Class Classifier for Novelty Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Defense Against Universal Adversarial Perturbations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Akhtar_2018_CVPR,
author = {Akhtar, Naveed and Liu, Jian and Mian, Ajmal},
title = {Defense Against Universal Adversarial Perturbations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Disentangling Factors of Variation by Mixing Them-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hu_2018_CVPR,
author = {Hu, Qiyang and Szabó, Attila and Portenier, Tiziano and Favaro, Paolo and Zwicker, Matthias},
title = {Disentangling Factors of Variation by Mixing Them},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deformable GANs for Pose-Based Human Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Siarohin_2018_CVPR,
author = {Siarohin, Aliaksandr and Sangineto, Enver and Lathuilière, Stéphane and Sebe, Nicu},
title = {Deformable GANs for Pose-Based Human Image Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Hierarchical Recurrent Attention Networks for Structured Online Maps-
[pdf]
[bibtex]@InProceedings{Homayounfar_2018_CVPR,
author = {Homayounfar, Namdar and Ma, Wei-Chiu and Lakshmikanth, Shrinidhi Kowshika and Urtasun, Raquel},
title = {Hierarchical Recurrent Attention Networks for Structured Online Maps},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Sliced Wasserstein Distance for Learning Gaussian Mixture Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kolouri_2018_CVPR,
author = {Kolouri, Soheil and Rohde, Gustavo K. and Hoffmann, Heiko},
title = {Sliced Wasserstein Distance for Learning Gaussian Mixture Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Zhen and Wang, Mianzhi and Huang, Yan and Nehorai, Arye},
title = {Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition-
[pdf]
[bibtex]@InProceedings{Kozerawski_2018_CVPR,
author = {Kozerawski, Jedrzej and Turk, Matthew},
title = {CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Local and Global Optimization Techniques in Graph-Based Clustering-
[pdf]
[bibtex]@InProceedings{Ikami_2018_CVPR,
author = {Ikami, Daiki and Yamasaki, Toshihiko and Aizawa, Kiyoharu},
title = {Local and Global Optimization Techniques in Graph-Based Clustering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Task Learning by Maximizing Statistical Dependence-
[pdf]
[supp]
[bibtex]@InProceedings{Mejjati_2018_CVPR,
author = {Mejjati, Youssef A. and Cosker, Darren and Kim, Kwang In},
title = {Multi-Task Learning by Maximizing Statistical Dependence},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Robust Classification With Convolutional Prototype Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Hong-Ming and Zhang, Xu-Yao and Yin, Fei and Liu, Cheng-Lin},
title = {Robust Classification With Convolutional Prototype Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Generative Modeling Using the Sliced Wasserstein Distance-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Deshpande_2018_CVPR,
author = {Deshpande, Ishan and Zhang, Ziyu and Schwing, Alexander G.},
title = {Generative Modeling Using the Sliced Wasserstein Distance},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Véniat_2018_CVPR,
author = {Véniat, Tom and Denoyer, Ludovic},
title = {Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Cross-View Image Synthesis Using Conditional GANs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Regmi_2018_CVPR,
author = {Regmi, Krishna and Borji, Ali},
title = {Cross-View Image Synthesis Using Conditional GANs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Sparse, Smart Contours to Represent and Edit Images-
[pdf]
[bibtex]@InProceedings{Dekel_2018_CVPR,
author = {Dekel, Tali and Gan, Chuang and Krishnan, Dilip and Liu, Ce and Freeman, William T.},
title = {Sparse, Smart Contours to Represent and Edit Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB-
[pdf]
[arXiv]
[bibtex]@InProceedings{Suzuki_2018_CVPR,
author = {Suzuki, Tomoyuki and Kataoka, Hirokatsu and Aoki, Yoshimitsu and Satoh, Yutaka},
title = {Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds-
[pdf]
[arXiv]
[bibtex]@InProceedings{Birdal_2018_CVPR,
author = {Birdal, Tolga and Busam, Benjamin and Navab, Nassir and Ilic, Slobodan and Sturm, Peter},
title = {A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Facelet-Bank for Fast Portrait Manipulation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Ying-Cong and Lin, Huaijia and Shu, Michelle and Li, Ruiyu and Tao, Xin and Shen, Xiaoyong and Ye, Yangang and Jia, Jiaya},
title = {Facelet-Bank for Fast Portrait Manipulation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Visual to Sound: Generating Natural Sound for Videos in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Yipin and Wang, Zhaowen and Fang, Chen and Bui, Trung and Berg, Tamara L.},
title = {Visual to Sound: Generating Natural Sound for Videos in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}