Papers
Graph-Structured Representations for Visual Question Answering-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Teney_2017_CVPR,
author = {Teney, Damien and Liu, Lingqiao and van den Hengel, Anton},
title = {Graph-Structured Representations for Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Zhao_2017_CVPR,
author = {Zhao, Hao and Lu, Ming and Yao, Anbang and Guo, Yiwen and Chen, Yurong and Zhang, Li},
title = {Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Local Binary Convolutional Neural Networks-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Juefei-Xu_2017_CVPR,
author = {Juefei-Xu, Felix and Naresh Boddeti, Vishnu and Savvides, Marios},
title = {Local Binary Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Designing Effective Inter-Pixel Information Flow for Natural Image Matting-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Aksoy_2017_CVPR,
author = {Aksoy, Yagiz and Ozan Aydin, Tunc and Pollefeys, Marc},
title = {Designing Effective Inter-Pixel Information Flow for Natural Image Matting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Face Normals "In-The-Wild" Using Fully Convolutional Networks-
[pdf]
[bibtex]@InProceedings{Trigeorgis_2017_CVPR,
author = {Trigeorgis, George and Snape, Patrick and Kokkinos, Iasonas and Zafeiriou, Stefanos},
title = {Face Normals "In-The-Wild" Using Fully Convolutional Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
3D Face Morphable Models "In-The-Wild"-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Booth_2017_CVPR,
author = {Booth, James and Antonakos, Epameinondas and Ploumpis, Stylianos and Trigeorgis, George and Panagakis, Yannis and Zafeiriou, Stefanos},
title = {3D Face Morphable Models "In-The-Wild"},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Towards a Quality Metric for Dense Light Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Adhikarla_2017_CVPR,
author = {Kiran Adhikarla, Vamsi and Vinkler, Marek and Sumin, Denis and Mantiuk, Rafal K. and Myszkowski, Karol and Seidel, Hans-Peter and Didyk, Piotr},
title = {Towards a Quality Metric for Dense Light Fields},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Position Tracking for Virtual Reality Using Commodity WiFi-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Kotaru_2017_CVPR,
author = {Kotaru, Manikanta and Katti, Sachin},
title = {Position Tracking for Virtual Reality Using Commodity WiFi},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Material Classification Using Frequency- and Depth-Dependent Time-Of-Flight Distortion-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Tanaka_2017_CVPR,
author = {Tanaka, Kenichiro and Mukaigawa, Yasuhiro and Funatomi, Takuya and Kubo, Hiroyuki and Matsushita, Yasuyuki and Yagi, Yasushi},
title = {Material Classification Using Frequency- and Depth-Dependent Time-Of-Flight Distortion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks-
[pdf]
[bibtex]@InProceedings{Haeusser_2017_CVPR,
author = {Haeusser, Philip and Mordvintsev, Alexander and Cremers, Daniel},
title = {Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting-
[pdf]
[bibtex]@InProceedings{Queau_2017_CVPR,
author = {Queau, Yvain and Wu, Tao and Lauze, Francois and Durou, Jean-Denis and Cremers, Daniel},
title = {A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning From Synthetic Humans-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Varol_2017_CVPR,
author = {Varol, Gul and Romero, Javier and Martin, Xavier and Mahmood, Naureen and Black, Michael J. and Laptev, Ivan and Schmid, Cordelia},
title = {Learning From Synthetic Humans},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Correlational Gaussian Processes for Cross-Domain Visual Recognition-
[pdf]
[poster]
[bibtex]@InProceedings{Long_2017_CVPR,
author = {Long, Chengjiang and Hua, Gang},
title = {Correlational Gaussian Processes for Cross-Domain Visual Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems-
[pdf]
[bibtex]@InProceedings{Hong_2017_CVPR,
author = {Hyeong Hong, Je and Zach, Christopher and Fitzgibbon, Andrew},
title = {Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning to Detect Salient Objects With Image-Level Supervision-
[pdf]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Lijun and Lu, Huchuan and Wang, Yifan and Feng, Mengyang and Wang, Dong and Yin, Baocai and Ruan, Xiang},
title = {Learning to Detect Salient Objects With Image-Level Supervision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Binary Coding for Partial Action Analysis With Limited Observation Ratios-
[pdf]
[poster]
[bibtex]@InProceedings{Qin_2017_CVPR,
author = {Qin, Jie and Liu, Li and Shao, Ling and Ni, Bingbing and Chen, Chen and Shen, Fumin and Wang, Yunhong},
title = {Binary Coding for Partial Action Analysis With Limited Observation Ratios},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Temporal Convolutional Networks for Action Segmentation and Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lea_2017_CVPR,
author = {Lea, Colin and Flynn, Michael D. and Vidal, Rene and Reiter, Austin and Hager, Gregory D.},
title = {Temporal Convolutional Networks for Action Segmentation and Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data-
[pdf]
[bibtex]@InProceedings{Gurumurthy_2017_CVPR,
author = {Gurumurthy, Swaminathan and Kiran Sarvadevabhatla, Ravi and Venkatesh Babu, R.},
title = {DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Template Matching With Deformable Diversity Similarity-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Talmi_2017_CVPR,
author = {Talmi, Itamar and Mechrez, Roey and Zelnik-Manor, Lihi},
title = {Template Matching With Deformable Diversity Similarity},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Surface Motion Capture Transfer With Gaussian Process Regression-
[pdf]
[bibtex]@InProceedings{Boukhayma_2017_CVPR,
author = {Boukhayma, Adnane and Franco, Jean-Sebastien and Boyer, Edmond},
title = {Surface Motion Capture Transfer With Gaussian Process Regression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Ang and Sun, Jin and Yue-Hei Ng, Joe and Yu, Ruichi and Morariu, Vlad I. and Davis, Larry S.},
title = {Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Unsupervised Video Summarization With Adversarial LSTM Networks-
[pdf]
[bibtex]@InProceedings{Mahasseni_2017_CVPR,
author = {Mahasseni, Behrooz and Lam, Michael and Todorovic, Sinisa},
title = {Unsupervised Video Summarization With Adversarial LSTM Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
SphereFace: Deep Hypersphere Embedding for Face Recognition-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Liu_2017_CVPR,
author = {Liu, Weiyang and Wen, Yandong and Yu, Zhiding and Li, Ming and Raj, Bhiksha and Song, Le},
title = {SphereFace: Deep Hypersphere Embedding for Face Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
One-Shot Video Object Segmentation-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Caelles_2017_CVPR,
author = {Caelles, Sergi and Maninis, Kevis-Kokitsi and Pont-Tuset, Jordi and Leal-Taixe, Laura and Cremers, Daniel and Van Gool, Luc},
title = {One-Shot Video Object Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
SGM-Nets: Semi-Global Matching With Neural Networks-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Seki_2017_CVPR,
author = {Seki, Akihito and Pollefeys, Marc},
title = {SGM-Nets: Semi-Global Matching With Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
What's in a Question: Using Visual Questions as a Form of Supervision-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Ganju_2017_CVPR,
author = {Ganju, Siddha and Russakovsky, Olga and Gupta, Abhinav},
title = {What's in a Question: Using Visual Questions as a Form of Supervision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Context-Aware Captions From Context-Agnostic Supervision-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Vedantam_2017_CVPR,
author = {Vedantam, Ramakrishna and Bengio, Samy and Murphy, Kevin and Parikh, Devi and Chechik, Gal},
title = {Context-Aware Captions From Context-Agnostic Supervision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Polyhedral Conic Classifiers for Visual Object Detection and Classification-
[pdf]
[bibtex]@InProceedings{Cevikalp_2017_CVPR,
author = {Cevikalp, Hakan and Triggs, Bill},
title = {Polyhedral Conic Classifiers for Visual Object Detection and Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Unsupervised Monocular Depth Estimation With Left-Right Consistency-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Godard_2017_CVPR,
author = {Godard, Clement and Mac Aodha, Oisin and Brostow, Gabriel J.},
title = {Unsupervised Monocular Depth Estimation With Left-Right Consistency},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Compact Matrix Factorization With Dependent Subspaces-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Larsson_2017_CVPR,
author = {Larsson, Viktor and Olsson, Carl},
title = {Compact Matrix Factorization With Dependent Subspaces},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Reinforcement Learning-Based Image Captioning With Embedding Reward-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Ren_2017_CVPR,
author = {Ren, Zhou and Wang, Xiaoyu and Zhang, Ning and Lv, Xutao and Li, Li-Jia},
title = {Deep Reinforcement Learning-Based Image Captioning With Embedding Reward},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Dual Attention Networks for Multimodal Reasoning and Matching-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Nam_2017_CVPR,
author = {Nam, Hyeonseob and Ha, Jung-Woo and Kim, Jeonghee},
title = {Dual Attention Networks for Multimodal Reasoning and Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Wijmans_2017_CVPR,
author = {Wijmans, Erik and Furukawa, Yasutaka},
title = {Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Hierarchical Approach for Generating Descriptive Image Paragraphs-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Krause_2017_CVPR,
author = {Krause, Jonathan and Johnson, Justin and Krishna, Ranjay and Fei-Fei, Li},
title = {A Hierarchical Approach for Generating Descriptive Image Paragraphs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Visual Dialog-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Das_2017_CVPR,
author = {Das, Abhishek and Kottur, Satwik and Gupta, Khushi and Singh, Avi and Yadav, Deshraj and Moura, Jose M. F. and Parikh, Devi and Batra, Dhruv},
title = {Visual Dialog},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
DESIRE: Distant Future Prediction in Dynamic Scenes With Interacting Agents-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Lee_2017_CVPR,
author = {Lee, Namhoon and Choi, Wongun and Vernaza, Paul and Choy, Christopher B. and Torr, Philip H. S. and Chandraker, Manmohan},
title = {DESIRE: Distant Future Prediction in Dynamic Scenes With Interacting Agents},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Mining Object Parts From CNNs via Active Question-Answering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Quanshi and Cao, Ruiming and Nian Wu, Ying and Zhu, Song-Chun},
title = {Mining Object Parts From CNNs via Active Question-Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification-
[pdf]
[bibtex]@InProceedings{He_2017_CVPR,
author = {He, Lifang and Lu, Chun-Ta and Ding, Hao and Wang, Shen and Shen, Linlin and Yu, Philip S. and Ragin, Ann B.},
title = {Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Low-Rank Bilinear Pooling for Fine-Grained Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kong_2017_CVPR,
author = {Kong, Shu and Fowlkes, Charless},
title = {Low-Rank Bilinear Pooling for Fine-Grained Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lu_2017_CVPR,
author = {Lu, Jiasen and Xiong, Caiming and Parikh, Devi and Socher, Richard},
title = {Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Dangwei and Chen, Xiaotang and Zhang, Zhang and Huang, Kaiqi},
title = {Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Turning an Urban Scene Video Into a Cinemagraph-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Yan_2017_CVPR,
author = {Yan, Hang and Liu, Yebin and Furukawa, Yasutaka},
title = {Turning an Urban Scene Video Into a Cinemagraph},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Chen_2017_CVPR,
author = {Chen, Weihua and Chen, Xiaotang and Zhang, Jianguo and Huang, Kaiqi},
title = {Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Surveillance Video Parsing With Single Frame Supervision-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Liu_2017_CVPR,
author = {Liu, Si and Wang, Changhu and Qian, Ruihe and Yu, Han and Bao, Renda and Sun, Yao},
title = {Surveillance Video Parsing With Single Frame Supervision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Mustafa_2017_CVPR,
author = {Mustafa, Armin and Hilton, Adrian},
title = {Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Garcia-Hernando_2017_CVPR,
author = {Garcia-Hernando, Guillermo and Kim, Tae-Kyun},
title = {Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Pixelwise Instance Segmentation With a Dynamically Instantiated Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Arnab_2017_CVPR,
author = {Arnab, Anurag and Torr, Philip H. S.},
title = {Pixelwise Instance Segmentation With a Dynamically Instantiated Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Video Propagation Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jampani_2017_CVPR,
author = {Jampani, Varun and Gadde, Raghudeep and Gehler, Peter V.},
title = {Video Propagation Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Global Hypothesis Generation for 6D Object Pose Estimation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Michel_2017_CVPR,
author = {Michel, Frank and Kirillov, Alexander and Brachmann, Eric and Krull, Alexander and Gumhold, Stefan and Savchynskyy, Bogdan and Rother, Carsten},
title = {Global Hypothesis Generation for 6D Object Pose Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Dilated Residual Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2017_CVPR,
author = {Yu, Fisher and Koltun, Vladlen and Funkhouser, Thomas},
title = {Dilated Residual Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Robust Interpolation of Correspondences for Large Displacement Optical Flow-
[pdf]
[poster]
[bibtex]@InProceedings{Hu_2017_CVPR,
author = {Hu, Yinlin and Li, Yunsong and Song, Rui},
title = {Robust Interpolation of Correspondences for Large Displacement Optical Flow},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Supervising Neural Attention Models for Video Captioning by Human Gaze Data-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2017_CVPR,
author = {Yu, Youngjae and Choi, Jongwook and Kim, Yeonhwa and Yoo, Kyung and Lee, Sang-Hun and Kim, Gunhee},
title = {Supervising Neural Attention Models for Video Captioning by Human Gaze Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Hongsong and Wang, Liang},
title = {Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Ye_2017_CVPR,
author = {Ye, Qixiang and Zhang, Tianliang and Ke, Wei and Qiu, Qiang and Chen, Jie and Sapiro, Guillermo and Zhang, Baochang},
title = {Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Oriented Response Networks-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Zhou_2017_CVPR,
author = {Zhou, Yanzhao and Ye, Qixiang and Qiu, Qiang and Jiao, Jianbin},
title = {Oriented Response Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Video Acceleration Magnification-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Yichao and Pintea, Silvia L. and van Gemert, Jan C.},
title = {Video Acceleration Magnification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
IRINA: Iris Recognition (Even) in Inaccurately Segmented Data-
[pdf]
[poster]
[bibtex]@InProceedings{Proenca_2017_CVPR,
author = {Proenca, Hugo and Neves, Joao C.},
title = {IRINA: Iris Recognition (Even) in Inaccurately Segmented Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Forecasting Human Dynamics From Static Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chao_2017_CVPR,
author = {Chao, Yu-Wei and Yang, Jimei and Price, Brian and Cohen, Scott and Deng, Jia},
title = {Forecasting Human Dynamics From Static Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Discriminative Bimodal Networks for Visual Localization and Detection With Natural Language Queries-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Yuting and Yuan, Luyao and Guo, Yijie and He, Zhiyuan and Huang, I-An and Lee, Honglak},
title = {Discriminative Bimodal Networks for Visual Localization and Detection With Natural Language Queries},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Linear Extrinsic Calibration of Kaleidoscopic Imaging System From Single 3D Point-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Takahashi_2017_CVPR,
author = {Takahashi, Kosuke and Miyata, Akihiro and Nobuhara, Shohei and Matsuyama, Takashi},
title = {A Linear Extrinsic Calibration of Kaleidoscopic Imaging System From Single 3D Point},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data-
[pdf]
[supp]
[bibtex]@InProceedings{Law_2017_CVPR,
author = {Law, Marc T. and Yu, Yaoliang and Urtasun, Raquel and Zemel, Richard S. and Xing, Eric P.},
title = {Efficient Multiple Instance Metric Learning Using Weakly Supervised Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Asynchronous Temporal Fields for Action Recognition-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Sigurdsson_2017_CVPR,
author = {Sigurdsson, Gunnar A. and Divvala, Santosh and Farhadi, Ali and Gupta, Abhinav},
title = {Asynchronous Temporal Fields for Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition With Convolutional Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Pichao and Li, Wanqing and Gao, Zhimin and Zhang, Yuyao and Tang, Chang and Ogunbona, Philip},
title = {Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition With Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Point Set Generation Network for 3D Object Reconstruction From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2017_CVPR,
author = {Fan, Haoqiang and Su, Hao and Guibas, Leonidas J.},
title = {A Point Set Generation Network for 3D Object Reconstruction From a Single Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories-
[pdf]
[supp]
[bibtex]@InProceedings{Al-Halah_2017_CVPR,
author = {Al-Halah, Ziad and Stiefelhagen, Rainer},
title = {Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lai_2017_CVPR,
author = {Lai, Wei-Sheng and Huang, Jia-Bin and Ahuja, Narendra and Yang, Ming-Hsuan},
title = {Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Scene Parsing Through ADE20K Dataset-
[pdf]
[bibtex]@InProceedings{Zhou_2017_CVPR,
author = {Zhou, Bolei and Zhao, Hang and Puig, Xavier and Fidler, Sanja and Barriuso, Adela and Torralba, Antonio},
title = {Scene Parsing Through ADE20K Dataset},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Durand_2017_CVPR,
author = {Durand, Thibaut and Mordan, Taylor and Thome, Nicolas and Cord, Matthieu},
title = {WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Qi_2017_CVPR,
author = {Qi, Charles R. and Su, Hao and Mo, Kaichun and Guibas, Leonidas J.},
title = {PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space-
[pdf]
[bibtex]@InProceedings{Tian_2017_CVPR,
author = {Tian, Yurun and Fan, Bin and Wu, Fuchao},
title = {L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Video Frame Interpolation via Adaptive Convolution-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Niklaus_2017_CVPR,
author = {Niklaus, Simon and Mai, Long and Liu, Feng},
title = {Video Frame Interpolation via Adaptive Convolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Crossing Nets: Combining GANs and VAEs With a Shared Latent Space for Hand Pose Estimation-
[pdf]
[poster]
[bibtex]@InProceedings{Wan_2017_CVPR,
author = {Wan, Chengde and Probst, Thomas and Van Gool, Luc and Yao, Angela},
title = {Crossing Nets: Combining GANs and VAEs With a Shared Latent Space for Hand Pose Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Attention-Aware Face Hallucination via Deep Reinforcement Learning-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Cao_2017_CVPR,
author = {Cao, Qingxing and Lin, Liang and Shi, Yukai and Liang, Xiaodan and Li, Guanbin},
title = {Attention-Aware Face Hallucination via Deep Reinforcement Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Neural Scene De-Rendering-
[pdf]
[bibtex]@InProceedings{Wu_2017_CVPR,
author = {Wu, Jiajun and Tenenbaum, Joshua B. and Kohli, Pushmeet},
title = {Neural Scene De-Rendering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep TEN: Texture Encoding Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Hang and Xue, Jia and Dana, Kristin},
title = {Deep TEN: Texture Encoding Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Xingcheng and Li, Zhizhong and Change Loy, Chen and Lin, Dahua},
title = {PolyNet: A Pursuit of Structural Diversity in Very Deep Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Object Detection in Videos With Tubelet Proposal Networks-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Kang_2017_CVPR,
author = {Kang, Kai and Li, Hongsheng and Xiao, Tong and Ouyang, Wanli and Yan, Junjie and Liu, Xihui and Wang, Xiaogang},
title = {Object Detection in Videos With Tubelet Proposal Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
AMVH: Asymmetric Multi-Valued Hashing-
[pdf]
[bibtex]@InProceedings{Da_2017_CVPR,
author = {Da, Cheng and Xu, Shibiao and Ding, Kun and Meng, Gaofeng and Xiang, Shiming and Pan, Chunhong},
title = {AMVH: Asymmetric Multi-Valued Hashing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core-
[pdf]
[poster]
[bibtex]@InProceedings{Kehl_2017_CVPR,
author = {Kehl, Wadim and Tombari, Federico and Ilic, Slobodan and Navab, Nassir},
title = {Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Weakly Supervised Action Learning With RNN Based Fine-To-Coarse Modeling-
[pdf]
[video]
[bibtex]@InProceedings{Richard_2017_CVPR,
author = {Richard, Alexander and Kuehne, Hilde and Gall, Juergen},
title = {Weakly Supervised Action Learning With RNN Based Fine-To-Coarse Modeling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Differential Angular Imaging for Material Recognition-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Xue_2017_CVPR,
author = {Xue, Jia and Zhang, Hang and Dana, Kristin and Nishino, Ko},
title = {Differential Angular Imaging for Material Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Forecasting Interactive Dynamics of Pedestrians With Fictitious Play-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ma_2017_CVPR,
author = {Ma, Wei-Chiu and Huang, De-An and Lee, Namhoon and Kitani, Kris M.},
title = {Forecasting Interactive Dynamics of Pedestrians With Fictitious Play},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Real-Time Neural Style Transfer for Videos-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Huang_2017_CVPR,
author = {Huang, Haozhi and Wang, Hao and Luo, Wenhan and Ma, Lin and Jiang, Wenhao and Zhu, Xiaolong and Li, Zhifeng and Liu, Wei},
title = {Real-Time Neural Style Transfer for Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Incremental Kernel Null Space Discriminant Analysis for Novelty Detection-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Liu_2017_CVPR,
author = {Liu, Juncheng and Lian, Zhouhui and Wang, Yi and Xiao, Jianguo},
title = {Incremental Kernel Null Space Discriminant Analysis for Novelty Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Self-Calibration-Based Approach to Critical Motion Sequences of Rolling-Shutter Structure From Motion-
[pdf]
[bibtex]@InProceedings{Ito_2017_CVPR,
author = {Ito, Eisuke and Okatani, Takayuki},
title = {Self-Calibration-Based Approach to Critical Motion Sequences of Rolling-Shutter Structure From Motion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Recurrent 3D Pose Sequence Machines-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Lin_2017_CVPR,
author = {Lin, Mude and Lin, Liang and Liang, Xiaodan and Wang, Keze and Cheng, Hui},
title = {Recurrent 3D Pose Sequence Machines},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Efficient Solvers for Minimal Problems by Syzygy-Based Reduction-
[pdf]
[poster]
[video]
[bibtex]@InProceedings{Larsson_2017_CVPR,
author = {Larsson, Viktor and Astrom, Kalle and Oskarsson, Magnus},
title = {Efficient Solvers for Minimal Problems by Syzygy-Based Reduction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Conditional Similarity Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Veit_2017_CVPR,
author = {Veit, Andreas and Belongie, Serge and Karaletsos, Theofanis},
title = {Conditional Similarity Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning From Noisy Large-Scale Datasets With Minimal Supervision-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Veit_2017_CVPR,
author = {Veit, Andreas and Alldrin, Neil and Chechik, Gal and Krasin, Ivan and Gupta, Abhinav and Belongie, Serge},
title = {Learning From Noisy Large-Scale Datasets With Minimal Supervision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Liang_2017_CVPR,
author = {Liang, Xiaodan and Lee, Lisa and Xing, Eric P.},
title = {Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Convolutional Random Walk Networks for Semantic Image Segmentation-
[pdf]
[poster]
[bibtex]@InProceedings{Bertasius_2017_CVPR,
author = {Bertasius, Gedas and Torresani, Lorenzo and Yu, Stella X. and Shi, Jianbo},
title = {Convolutional Random Walk Networks for Semantic Image Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Predicting Ground-Level Scene Layout From Aerial Imagery-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Zhai_2017_CVPR,
author = {Zhai, Menghua and Bessinger, Zachary and Workman, Scott and Jacobs, Nathan},
title = {Predicting Ground-Level Scene Layout From Aerial Imagery},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Simple Does It: Weakly Supervised Instance and Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Khoreva_2017_CVPR,
author = {Khoreva, Anna and Benenson, Rodrigo and Hosang, Jan and Hein, Matthias and Schiele, Bernt},
title = {Simple Does It: Weakly Supervised Instance and Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fast Fourier Color Constancy-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Barron_2017_CVPR,
author = {Barron, Jonathan T. and Tsai, Yun-Ta},
title = {Fast Fourier Color Constancy},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Attend to You: Personalized Image Captioning With Context Sequence Memory Networks-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Park_2017_CVPR,
author = {Chunseong Park, Cesc and Kim, Byeongchang and Kim, Gunhee},
title = {Attend to You: Personalized Image Captioning With Context Sequence Memory Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Scalable Surface Reconstruction From Point Clouds With Extreme Scale and Density Diversity-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Mostegel_2017_CVPR,
author = {Mostegel, Christian and Prettenthaler, Rudolf and Fraundorfer, Friedrich and Bischof, Horst},
title = {Scalable Surface Reconstruction From Point Clouds With Extreme Scale and Density Diversity},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Weakly Supervised Cascaded Convolutional Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Diba_2017_CVPR,
author = {Diba, Ali and Sharma, Vivek and Pazandeh, Ali and Pirsiavash, Hamed and Van Gool, Luc},
title = {Weakly Supervised Cascaded Convolutional Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Exclusivity-Consistency Regularized Multi-View Subspace Clustering-
[pdf]
[poster]
[video]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Xiaobo and Guo, Xiaojie and Lei, Zhen and Zhang, Changqing and Li, Stan Z.},
title = {Exclusivity-Consistency Regularized Multi-View Subspace Clustering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Look Into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gong_2017_CVPR,
author = {Gong, Ke and Liang, Xiaodan and Zhang, Dongyu and Shen, Xiaohui and Lin, Liang},
title = {Look Into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Semi-Calibrated Near Field Photometric Stereo-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Logothetis_2017_CVPR,
author = {Logothetis, Fotios and Mecca, Roberto and Cipolla, Roberto},
title = {Semi-Calibrated Near Field Photometric Stereo},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Finding Tiny Faces-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2017_CVPR,
author = {Hu, Peiyun and Ramanan, Deva},
title = {Finding Tiny Faces},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Visual-Inertial-Semantic Scene Representation for 3D Object Detection-
[pdf]
[poster]
[bibtex]@InProceedings{Dong_2017_CVPR,
author = {Dong, Jingming and Fei, Xiaohan and Soatto, Stefano},
title = {Visual-Inertial-Semantic Scene Representation for 3D Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Girdhar_2017_CVPR,
author = {Girdhar, Rohit and Ramanan, Deva and Gupta, Abhinav and Sivic, Josef and Russell, Bryan},
title = {ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Predictive-Corrective Networks for Action Detection-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Dave_2017_CVPR,
author = {Dave, Achal and Russakovsky, Olga and Ramanan, Deva},
title = {Predictive-Corrective Networks for Action Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
FastMask: Segment Multi-Scale Object Candidates in One Shot-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2017_CVPR,
author = {Hu, Hexiang and Lan, Shiyi and Jiang, Yuning and Cao, Zhimin and Sha, Fei},
title = {FastMask: Segment Multi-Scale Object Candidates in One Shot},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Combinatorial Solution to Non-Rigid 3D Shape-To-Image Matching-
[pdf]
[bibtex]@InProceedings{Bernard_2017_CVPR,
author = {Bernard, Florian and Schmidt, Frank R. and Thunberg, Johan and Cremers, Daniel},
title = {A Combinatorial Solution to Non-Rigid 3D Shape-To-Image Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Interpretable Structure-Evolving LSTM-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Liang_2017_CVPR,
author = {Liang, Xiaodan and Lin, Liang and Shen, Xiaohui and Feng, Jiashi and Yan, Shuicheng and Xing, Eric P.},
title = {Interpretable Structure-Evolving LSTM},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Generating the Future With Adversarial Transformers-
[pdf]
[bibtex]@InProceedings{Vondrick_2017_CVPR,
author = {Vondrick, Carl and Torralba, Antonio},
title = {Generating the Future With Adversarial Transformers},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Budget-Aware Deep Semantic Video Segmentation-
[pdf]
[bibtex]@InProceedings{Mahasseni_2017_CVPR,
author = {Mahasseni, Behrooz and Todorovic, Sinisa and Fern, Alan},
title = {Budget-Aware Deep Semantic Video Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Spatially Adaptive Computation Time for Residual Networks-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Figurnov_2017_CVPR,
author = {Figurnov, Michael and Collins, Maxwell D. and Zhu, Yukun and Zhang, Li and Huang, Jonathan and Vetrov, Dmitry and Salakhutdinov, Ruslan},
title = {Spatially Adaptive Computation Time for Residual Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Order-Preserving Wasserstein Distance for Sequence Matching-
[pdf]
[bibtex]@InProceedings{Su_2017_CVPR,
author = {Su, Bing and Hua, Gang},
title = {Order-Preserving Wasserstein Distance for Sequence Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Richard and Isola, Phillip and Efros, Alexei A.},
title = {Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
SRN: Side-output Residual Network for Object Symmetry Detection in the Wild-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Ke_2017_CVPR,
author = {Ke, Wei and Chen, Jie and Jiao, Jianbin and Zhao, Guoying and Ye, Qixiang},
title = {SRN: Side-output Residual Network for Object Symmetry Detection in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Spindle Net: Person Re-Identification With Human Body Region Guided Feature Decomposition and Fusion-
[pdf]
[poster]
[bibtex]@InProceedings{Zhao_2017_CVPR,
author = {Zhao, Haiyu and Tian, Maoqing and Sun, Shuyang and Shao, Jing and Yan, Junjie and Yi, Shuai and Wang, Xiaogang and Tang, Xiaoou},
title = {Spindle Net: Person Re-Identification With Human Body Region Guided Feature Decomposition and Fusion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Borrowing Treasures From the Wealthy: Deep Transfer Learning Through Selective Joint Fine-Tuning-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Ge_2017_CVPR,
author = {Ge, Weifeng and Yu, Yizhou},
title = {Borrowing Treasures From the Wealthy: Deep Transfer Learning Through Selective Joint Fine-Tuning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Unified Embedding and Metric Learning for Zero-Exemplar Event Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hussein_2017_CVPR,
author = {Hussein, Noureldien and Gavves, Efstratios and Smeulders, Arnold W.M.},
title = {Unified Embedding and Metric Learning for Zero-Exemplar Event Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Tehrani_2017_CVPR,
author = {Abbaspour Tehrani, Mahdi and Beeler, Thabo and Grundhofer, Anselm},
title = {A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Modeling Relationships in Referential Expressions With Compositional Modular Networks-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Hu_2017_CVPR,
author = {Hu, Ronghang and Rohrbach, Marcus and Andreas, Jacob and Darrell, Trevor and Saenko, Kate},
title = {Modeling Relationships in Referential Expressions With Compositional Modular Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Image-To-Image Translation With Conditional Adversarial Networks-
[pdf]
[bibtex]@InProceedings{Isola_2017_CVPR,
author = {Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A.},
title = {Image-To-Image Translation With Conditional Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Counting Everyday Objects in Everyday Scenes-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Chattopadhyay_2017_CVPR,
author = {Chattopadhyay, Prithvijit and Vedantam, Ramakrishna and Selvaraju, Ramprasaath R. and Batra, Dhruv and Parikh, Devi},
title = {Counting Everyday Objects in Everyday Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Hand Keypoint Detection in Single Images Using Multiview Bootstrapping-
[pdf]
[bibtex]@InProceedings{Simon_2017_CVPR,
author = {Simon, Tomas and Joo, Hanbyul and Matthews, Iain and Sheikh, Yaser},
title = {Hand Keypoint Detection in Single Images Using Multiview Bootstrapping},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Knowledge Acquisition for Visual Question Answering via Iterative Querying-
[pdf]
[poster]
[bibtex]@InProceedings{Zhu_2017_CVPR,
author = {Zhu, Yuke and Lim, Joseph J. and Fei-Fei, Li},
title = {Knowledge Acquisition for Visual Question Answering via Iterative Querying},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Few-Shot Object Recognition From Machine-Labeled Web Images-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Xu_2017_CVPR,
author = {Xu, Zhongwen and Zhu, Linchao and Yang, Yi},
title = {Few-Shot Object Recognition From Machine-Labeled Web Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions-
[pdf]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Peng and Wu, Qi and Shen, Chunhua and van den Hengel, Anton},
title = {The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Deep Binary Descriptor With Multi-Quantization-
[pdf]
[bibtex]@InProceedings{Duan_2017_CVPR,
author = {Duan, Yueqi and Lu, Jiwen and Wang, Ziwei and Feng, Jianjiang and Zhou, Jie},
title = {Learning Deep Binary Descriptor With Multi-Quantization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Joint Discriminative Bayesian Dictionary and Classifier Learning-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Akhtar_2017_CVPR,
author = {Akhtar, Naveed and Mian, Ajmal and Porikli, Fatih},
title = {Joint Discriminative Bayesian Dictionary and Classifier Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning-
[pdf]
[poster]
[bibtex]@InProceedings{Yang_2017_CVPR,
author = {Yang, Shijie and Li, Liang and Wang, Shuhui and Zhang, Weigang and Huang, Qingming},
title = {A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
HSfM: Hybrid Structure-from-Motion-
[pdf]
[supp]
[bibtex]@InProceedings{Cui_2017_CVPR,
author = {Cui, Hainan and Gao, Xiang and Shen, Shuhan and Hu, Zhanyi},
title = {HSfM: Hybrid Structure-from-Motion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Perceptual Generative Adversarial Networks for Small Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Jianan and Liang, Xiaodan and Wei, Yunchao and Xu, Tingfa and Feng, Jiashi and Yan, Shuicheng},
title = {Perceptual Generative Adversarial Networks for Small Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ioannou_2017_CVPR,
author = {Ioannou, Yani and Robertson, Duncan and Cipolla, Roberto and Criminisi, Antonio},
title = {Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal-
[pdf]
[poster]
[bibtex]@InProceedings{Sandhan_2017_CVPR,
author = {Sandhan, Tushar and Young Choi, Jin},
title = {Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Xception: Deep Learning With Depthwise Separable Convolutions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chollet_2017_CVPR,
author = {Chollet, Francois},
title = {Xception: Deep Learning With Depthwise Separable Convolutions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Detailed Face Reconstruction From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Richardson_2017_CVPR,
author = {Richardson, Elad and Sela, Matan and Or-El, Roy and Kimmel, Ron},
title = {Learning Detailed Face Reconstruction From a Single Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization-
[pdf]
[bibtex]@InProceedings{Qian_2017_CVPR,
author = {Qian, Yiming and Gong, Minglun and Yang, Yee-Hong},
title = {Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Video Deblurring for Hand-Held Cameras-
[pdf]
[supp]
[poster]
[video]
[bibtex]@InProceedings{Su_2017_CVPR,
author = {Su, Shuochen and Delbracio, Mauricio and Wang, Jue and Sapiro, Guillermo and Heidrich, Wolfgang and Wang, Oliver},
title = {Deep Video Deblurring for Hand-Held Cameras},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Accurate Optical Flow via Direct Cost Volume Processing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2017_CVPR,
author = {Xu, Jia and Ranftl, Rene and Koltun, Vladlen},
title = {Accurate Optical Flow via Direct Cost Volume Processing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking-
[pdf]
[bibtex]@InProceedings{Yan_2017_CVPR,
author = {Yan, Yan and Xu, Chenliang and Cai, Dawen and Corso, Jason J.},
title = {Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Feedback Networks-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Zamir_2017_CVPR,
author = {Zamir, Amir R. and Wu, Te-Lin and Sun, Lin and Shen, William B. and Shi, Bertram E. and Malik, Jitendra and Savarese, Silvio},
title = {Feedback Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Re-Ranking Person Re-Identification With k-Reciprocal Encoding-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Zhong_2017_CVPR,
author = {Zhong, Zhun and Zheng, Liang and Cao, Donglin and Li, Shaozi},
title = {Re-Ranking Person Re-Identification With k-Reciprocal Encoding},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Visual-Semantic Quantization for Efficient Image Retrieval-
[pdf]
[bibtex]@InProceedings{Cao_2017_CVPR,
author = {Cao, Yue and Long, Mingsheng and Wang, Jianmin and Liu, Shichen},
title = {Deep Visual-Semantic Quantization for Efficient Image Retrieval},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Sequential Person Recognition in Photo Albums With a Recurrent Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Yao and Lin, Guosheng and Zhuang, Bohan and Liu, Lingqiao and Shen, Chunhua and van den Hengel, Anton},
title = {Sequential Person Recognition in Photo Albums With a Recurrent Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
ViP-CNN: Visual Phrase Guided Convolutional Neural Network-
[pdf]
[poster]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Yikang and Ouyang, Wanli and Wang, Xiaogang and Tang, Xiao'ou},
title = {ViP-CNN: Visual Phrase Guided Convolutional Neural Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Joint Rain Detection and Removal From a Single Image-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Yang_2017_CVPR,
author = {Yang, Wenhan and Tan, Robby T. and Feng, Jiashi and Liu, Jiaying and Guo, Zongming and Yan, Shuicheng},
title = {Deep Joint Rain Detection and Removal From a Single Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Person Re-Identification in the Wild-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Zheng_2017_CVPR,
author = {Zheng, Liang and Zhang, Hengheng and Sun, Shaoyan and Chandraker, Manmohan and Yang, Yi and Tian, Qi},
title = {Person Re-Identification in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Self-Taught Learning for Weakly Supervised Object Localization-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Jie_2017_CVPR,
author = {Jie, Zequn and Wei, Yunchao and Jin, Xiaojie and Feng, Jiashi and Liu, Wei},
title = {Deep Self-Taught Learning for Weakly Supervised Object Localization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Slavcheva_2017_CVPR,
author = {Slavcheva, Miroslava and Baust, Maximilian and Cremers, Daniel and Ilic, Slobodan},
title = {KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Context-Aware Correlation Filter Tracking-
[pdf]
[supp]
[poster]
[video]
[bibtex]@InProceedings{Mueller_2017_CVPR,
author = {Mueller, Matthias and Smith, Neil and Ghanem, Bernard},
title = {Context-Aware Correlation Filter Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Missing Modalities Imputation via Cascaded Residual Autoencoder-
[pdf]
[bibtex]@InProceedings{Tran_2017_CVPR,
author = {Tran, Luan and Liu, Xiaoming and Zhou, Jiayu and Jin, Rong},
title = {Missing Modalities Imputation via Cascaded Residual Autoencoder},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition-
[pdf]
[video]
[bibtex]@InProceedings{Tran_2017_CVPR,
author = {Tran, Luan and Yin, Xi and Liu, Xiaoming},
title = {Disentangled Representation Learning GAN for Pose-Invariant Face Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Discretely Coding Semantic Rank Orders for Supervised Image Hashing-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2017_CVPR,
author = {Liu, Li and Shao, Ling and Shen, Fumin and Yu, Mengyang},
title = {Discretely Coding Semantic Rank Orders for Supervised Image Hashing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance-
[pdf]
[supp]
[bibtex]@InProceedings{Pascoe_2017_CVPR,
author = {Pascoe, Geoffrey and Maddern, Will and Tanner, Michael and Pinies, Pedro and Newman, Paul},
title = {NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Efficient Optimization for Hierarchically-structured Interacting Segments (HINTS)-
[pdf]
[bibtex]@InProceedings{Isack_2017_CVPR,
author = {Isack, Hossam and Veksler, Olga and Oguz, Ipek and Sonka, Milan and Boykov, Yuri},
title = {Efficient Optimization for Hierarchically-structured Interacting Segments (HINTS)},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
SCC: Semantic Context Cascade for Efficient Action Detection-
[pdf]
[bibtex]@InProceedings{Heilbron_2017_CVPR,
author = {Caba Heilbron, Fabian and Barrios, Wayner and Escorcia, Victor and Ghanem, Bernard},
title = {SCC: Semantic Context Cascade for Efficient Action Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Semantic Amodal Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2017_CVPR,
author = {Zhu, Yan and Tian, Yuandong and Metaxas, Dimitris and Dollar, Piotr},
title = {Semantic Amodal Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Sequential Context Networks for Action Prediction-
[pdf]
[bibtex]@InProceedings{Kong_2017_CVPR,
author = {Kong, Yu and Tao, Zhiqiang and Fu, Yun},
title = {Deep Sequential Context Networks for Action Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Comparative Evaluation of Hand-Crafted and Learned Local Features-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Schonberger_2017_CVPR,
author = {Schonberger, Johannes L. and Hardmeier, Hans and Sattler, Torsten and Pollefeys, Marc},
title = {Comparative Evaluation of Hand-Crafted and Learned Local Features},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Aggregated Residual Transformations for Deep Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xie_2017_CVPR,
author = {Xie, Saining and Girshick, Ross and Dollar, Piotr and Tu, Zhuowen and He, Kaiming},
title = {Aggregated Residual Transformations for Deep Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Predicting Behaviors of Basketball Players From First Person Videos-
[pdf]
[supp]
[poster]
[video]
[bibtex]@InProceedings{Su_2017_CVPR,
author = {Su, Shan and Pyo Hong, Jung and Shi, Jianbo and Soo Park, Hyun},
title = {Predicting Behaviors of Basketball Players From First Person Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes With Deep Generative Networks-
[pdf]
[bibtex]@InProceedings{Soltani_2017_CVPR,
author = {Arsalan Soltani, Amir and Huang, Haibin and Wu, Jiajun and Kulkarni, Tejas D. and Tenenbaum, Joshua B.},
title = {Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes With Deep Generative Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search-
[pdf]
[bibtex]@InProceedings{Zhao_2017_CVPR,
author = {Zhao, Bo and Feng, Jiashi and Wu, Xiao and Yan, Shuicheng},
title = {Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Spatiotemporal Pyramid Network for Video Action Recognition-
[pdf]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Yunbo and Long, Mingsheng and Wang, Jianmin and Yu, Philip S.},
title = {Spatiotemporal Pyramid Network for Video Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Reconstructing Transient Images From Single-Photon Sensors-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{O'Toole_2017_CVPR,
author = {O'Toole, Matthew and Heide, Felix and Lindell, David B. and Zang, Kai and Diamond, Steven and Wetzstein, Gordon},
title = {Reconstructing Transient Images From Single-Photon Sensors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network-
[pdf]
[supp]
[bibtex]@InProceedings{Gu_2017_CVPR,
author = {Gu, Jinwei and Yang, Xiaodong and De Mello, Shalini and Kautz, Jan},
title = {Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Polarimetric Multi-View Stereo-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Cui_2017_CVPR,
author = {Cui, Zhaopeng and Gu, Jinwei and Shi, Boxin and Tan, Ping and Kautz, Jan},
title = {Polarimetric Multi-View Stereo},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Object Region Mining With Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Wei_2017_CVPR,
author = {Wei, Yunchao and Feng, Jiashi and Liang, Xiaodan and Cheng, Ming-Ming and Zhao, Yao and Yan, Shuicheng},
title = {Object Region Mining With Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks With Privileged Information-
[pdf]
[bibtex]@InProceedings{Yang_2017_CVPR,
author = {Yang, Hao and Tianyi Zhou, Joey and Cai, Jianfei and Soon Ong, Yew},
title = {MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks With Privileged Information},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Benchmarking Denoising Algorithms With Real Photographs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Plotz_2017_CVPR,
author = {Plotz, Tobias and Roth, Stefan},
title = {Benchmarking Denoising Algorithms With Real Photographs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Swoboda_2017_CVPR,
author = {Swoboda, Paul and Kuske, Jan and Savchynskyy, Bogdan},
title = {A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Swoboda_2017_CVPR,
author = {Swoboda, Paul and Rother, Carsten and Abu Alhaija, Hassan and Kainmuller, Dagmar and Savchynskyy, Bogdan},
title = {A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Message Passing Algorithm for the Minimum Cost Multicut Problem-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Swoboda_2017_CVPR,
author = {Swoboda, Paul and Andres, Bjoern},
title = {A Message Passing Algorithm for the Minimum Cost Multicut Problem},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Long_2017_CVPR,
author = {Long, Yang and Liu, Li and Shao, Ling and Shen, Fumin and Ding, Guiguang and Han, Jungong},
title = {From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?-
[pdf]
[poster]
[bibtex]@InProceedings{Sattler_2017_CVPR,
author = {Sattler, Torsten and Torii, Akihiko and Sivic, Josef and Pollefeys, Marc and Taira, Hajime and Okutomi, Masatoshi and Pajdla, Tomas},
title = {Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Global Context-Aware Attention LSTM Networks for 3D Action Recognition-
[pdf]
[bibtex]@InProceedings{Liu_2017_CVPR,
author = {Liu, Jun and Wang, Gang and Hu, Ping and Duan, Ling-Yu and Kot, Alex C.},
title = {Global Context-Aware Attention LSTM Networks for 3D Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Hierarchical Boundary-Aware Neural Encoder for Video Captioning-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Baraldi_2017_CVPR,
author = {Baraldi, Lorenzo and Grana, Costantino and Cucchiara, Rita},
title = {Hierarchical Boundary-Aware Neural Encoder for Video Captioning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Emotion Recognition in Context-
[pdf]
[supp]
[bibtex]@InProceedings{Kosti_2017_CVPR,
author = {Kosti, Ronak and Alvarez, Jose M. and Recasens, Adria and Lapedriza, Agata},
title = {Emotion Recognition in Context},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework-
[pdf]
[bibtex]@InProceedings{Kim_2017_CVPR,
author = {Kim, Jongyoo and Lee, Sanghoon},
title = {Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shi_2017_CVPR,
author = {Shi, Jian and Dong, Yue and Su, Hao and Yu, Stella X.},
title = {Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Collaborative Deep Reinforcement Learning for Joint Object Search-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kong_2017_CVPR,
author = {Kong, Xiangyu and Xin, Bo and Wang, Yizhou and Hua, Gang},
title = {Collaborative Deep Reinforcement Learning for Joint Object Search},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Automatic Understanding of Image and Video Advertisements-
[pdf]
[supp]
[poster]
[video]
[bibtex]@InProceedings{Hussain_2017_CVPR,
author = {Hussain, Zaeem and Zhang, Mingda and Zhang, Xiaozhong and Ye, Keren and Thomas, Christopher and Agha, Zuha and Ong, Nathan and Kovashka, Adriana},
title = {Automatic Understanding of Image and Video Advertisements},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
FFTLasso: Large-Scale LASSO in the Fourier Domain-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Bibi_2017_CVPR,
author = {Bibi, Adel and Itani, Hani and Ghanem, Bernard},
title = {FFTLasso: Large-Scale LASSO in the Fourier Domain},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Multi-Modal Mean-Fields via Cardinality-Based Clamping-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Baque_2017_CVPR,
author = {Baque, Pierre and Fleuret, Francois and Fua, Pascal},
title = {Multi-Modal Mean-Fields via Cardinality-Based Clamping},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Unified Approach of Multi-Scale Deep and Hand-Crafted Features for Defocus Estimation-
[pdf]
[bibtex]@InProceedings{Park_2017_CVPR,
author = {Park, Jinsun and Tai, Yu-Wing and Cho, Donghyeon and So Kweon, In},
title = {A Unified Approach of Multi-Scale Deep and Hand-Crafted Features for Defocus Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Semantic Scene Completion From a Single Depth Image-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Song_2017_CVPR,
author = {Song, Shuran and Yu, Fisher and Zeng, Andy and Chang, Angel X. and Savva, Manolis and Funkhouser, Thomas},
title = {Semantic Scene Completion From a Single Depth Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fine-To-Coarse Global Registration of RGB-D Scans-
[pdf]
[bibtex]@InProceedings{Halber_2017_CVPR,
author = {Halber, Maciej and Funkhouser, Thomas},
title = {Fine-To-Coarse Global Registration of RGB-D Scans},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Universal Adversarial Perturbations-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Moosavi-Dezfooli_2017_CVPR,
author = {Moosavi-Dezfooli, Seyed-Mohsen and Fawzi, Alhussein and Fawzi, Omar and Frossard, Pascal},
title = {Universal Adversarial Perturbations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Saliency Revisited: Analysis of Mouse Movements Versus Fixations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tavakoli_2017_CVPR,
author = {Tavakoli, Hamed R. and Ahmed, Fawad and Borji, Ali and Laaksonen, Jorma},
title = {Saliency Revisited: Analysis of Mouse Movements Versus Fixations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Online Summarization via Submodular and Convex Optimization-
[pdf]
[bibtex]@InProceedings{Elhamifar_2017_CVPR,
author = {Elhamifar, Ehsan and Clara De Paolis Kaluza, M.},
title = {Online Summarization via Submodular and Convex Optimization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
From Red Wine to Red Tomato: Composition With Context-
[pdf]
[video]
[bibtex]@InProceedings{Misra_2017_CVPR,
author = {Misra, Ishan and Gupta, Abhinav and Hebert, Martial},
title = {From Red Wine to Red Tomato: Composition With Context},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
3DMatch: Learning Local Geometric Descriptors From RGB-D Reconstructions-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Zeng_2017_CVPR,
author = {Zeng, Andy and Song, Shuran and Niessner, Matthias and Fisher, Matthew and Xiao, Jianxiong and Funkhouser, Thomas},
title = {3DMatch: Learning Local Geometric Descriptors From RGB-D Reconstructions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Superpixel-Based Tracking-By-Segmentation Using Markov Chains-
[pdf]
[bibtex]@InProceedings{Yeo_2017_CVPR,
author = {Yeo, Donghun and Son, Jeany and Han, Bohyung and Hee Han, Joon},
title = {Superpixel-Based Tracking-By-Segmentation Using Markov Chains},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection-
[pdf]
[poster]
[bibtex]@InProceedings{Savinov_2017_CVPR,
author = {Savinov, Nikolay and Seki, Akihito and Ladicky, Lubor and Sattler, Torsten and Pollefeys, Marc},
title = {Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Multi-Context Attention for Human Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chu_2017_CVPR,
author = {Chu, Xiao and Yang, Wei and Ouyang, Wanli and Ma, Cheng and Yuille, Alan L. and Wang, Xiaogang},
title = {Multi-Context Attention for Human Pose Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Action Unit Detection With Region Adaptation, Multi-Labeling Learning and Optimal Temporal Fusing-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Wei and Abtahi, Farnaz and Zhu, Zhigang},
title = {Action Unit Detection With Region Adaptation, Multi-Labeling Learning and Optimal Temporal Fusing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Unsupervised Learning of Depth and Ego-Motion From Video-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Zhou_2017_CVPR,
author = {Zhou, Tinghui and Brown, Matthew and Snavely, Noah and Lowe, David G.},
title = {Unsupervised Learning of Depth and Ego-Motion From Video},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Jing and Li, Wanqing and Ogunbona, Philip},
title = {Joint Geometrical and Statistical Alignment for Visual Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals-
[pdf]
[bibtex]@InProceedings{Nakamura_2017_CVPR,
author = {Nakamura, Katsuyuki and Yeung, Serena and Alahi, Alexandre and Fei-Fei, Li},
title = {Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhuang_2017_CVPR,
author = {Zhuang, Bohan and Liu, Lingqiao and Li, Yao and Shen, Chunhua and Reid, Ian},
title = {Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
An Exact Penalty Method for Locally Convergent Maximum Consensus-
[pdf]
[poster]
[bibtex]@InProceedings{Le_2017_CVPR,
author = {Le, Huu and Chin, Tat-Jun and Suter, David},
title = {An Exact Penalty Method for Locally Convergent Maximum Consensus},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
StyleBank: An Explicit Representation for Neural Image Style Transfer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2017_CVPR,
author = {Chen, Dongdong and Yuan, Lu and Liao, Jing and Yu, Nenghai and Hua, Gang},
title = {StyleBank: An Explicit Representation for Neural Image Style Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Multi-View 3D Object Detection Network for Autonomous Driving-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Chen_2017_CVPR,
author = {Chen, Xiaozhi and Ma, Huimin and Wan, Ji and Li, Bo and Xia, Tian},
title = {Multi-View 3D Object Detection Network for Autonomous Driving},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Weakly Supervised Dense Video Captioning-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Shen_2017_CVPR,
author = {Shen, Zhiqiang and Li, Jianguo and Su, Zhou and Li, Minjun and Chen, Yurong and Jiang, Yu-Gang and Xue, Xiangyang},
title = {Weakly Supervised Dense Video Captioning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2017_CVPR,
author = {Lin, Guosheng and Milan, Anton and Shen, Chunhua and Reid, Ian},
title = {RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
General Models for Rational Cameras and the Case of Two-Slit Projections-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Trager_2017_CVPR,
author = {Trager, Matthew and Sturmfels, Bernd and Canny, John and Hebert, Martial and Ponce, Jean},
title = {General Models for Rational Cameras and the Case of Two-Slit Projections},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Patrini_2017_CVPR,
author = {Patrini, Giorgio and Rozza, Alessandro and Krishna Menon, Aditya and Nock, Richard and Qu, Lizhen},
title = {Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF-
[pdf]
[bibtex]@InProceedings{Shen_2017_CVPR,
author = {Shen, Falong and Gan, Rui and Yan, Shuicheng and Zeng, Gang},
title = {Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Matching Prior Network: Toward Tighter Multi-Oriented Text Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2017_CVPR,
author = {Liu, Yuliang and Jin, Lianwen},
title = {Deep Matching Prior Network: Toward Tighter Multi-Oriented Text Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Person Search With Natural Language Description-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Shuang and Xiao, Tong and Li, Hongsheng and Zhou, Bolei and Yue, Dayu and Wang, Xiaogang},
title = {Person Search With Natural Language Description},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Analyzing Computer Vision Data - The Good, the Bad and the Ugly-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Zendel_2017_CVPR,
author = {Zendel, Oliver and Honauer, Katrin and Murschitz, Markus and Humenberger, Martin and Fernandez Dominguez, Gustavo},
title = {Analyzing Computer Vision Data - The Good, the Bad and the Ugly},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Ge_2017_CVPR,
author = {Ge, Liuhao and Liang, Hui and Yuan, Junsong and Thalmann, Daniel},
title = {3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
iCaRL: Incremental Classifier and Representation Learning-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Rebuffi_2017_CVPR,
author = {Rebuffi, Sylvestre-Alvise and Kolesnikov, Alexander and Sperl, Georg and Lampert, Christoph H.},
title = {iCaRL: Incremental Classifier and Representation Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
PoseTrack: Joint Multi-Person Pose Estimation and Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Iqbal_2017_CVPR,
author = {Iqbal, Umar and Milan, Anton and Gall, Juergen},
title = {PoseTrack: Joint Multi-Person Pose Estimation and Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning a Deep Embedding Model for Zero-Shot Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Li and Xiang, Tao and Gong, Shaogang},
title = {Learning a Deep Embedding Model for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
MCMLSD: A Dynamic Programming Approach to Line Segment Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Almazan_2017_CVPR,
author = {Almazan, Emilio J. and Tal, Ron and Qian, Yiming and Elder, James H.},
title = {MCMLSD: A Dynamic Programming Approach to Line Segment Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep MANTA: A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image-
[pdf]
[supp]
[bibtex]@InProceedings{Chabot_2017_CVPR,
author = {Chabot, Florian and Chaouch, Mohamed and Rabarisoa, Jaonary and Teuliere, Celine and Chateau, Thierry},
title = {Deep MANTA: A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning-
[pdf]
[bibtex]@InProceedings{Ding_2017_CVPR,
author = {Ding, Zhengming and Shao, Ming and Fu, Yun},
title = {Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tepper_2017_CVPR,
author = {Tepper, Mariano and Sapiro, Guillermo},
title = {Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
BIND: Binary Integrated Net Descriptors for Texture-Less Object Recognition-
[pdf]
[bibtex]@InProceedings{Chan_2017_CVPR,
author = {Chan, Jacob and Addison Lee, Jimmy and Kemao, Qian},
title = {BIND: Binary Integrated Net Descriptors for Texture-Less Object Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Efficient Diffusion on Region Manifolds: Recovering Small Objects With Compact CNN Representations-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Iscen_2017_CVPR,
author = {Iscen, Ahmet and Tolias, Giorgos and Avrithis, Yannis and Furon, Teddy and Chum, Ondrej},
title = {Efficient Diffusion on Region Manifolds: Recovering Small Objects With Compact CNN Representations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
S2F: Slow-To-Fast Interpolator Flow-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2017_CVPR,
author = {Yang, Yanchao and Soatto, Stefano},
title = {S2F: Slow-To-Fast Interpolator Flow},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
ChestX-ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases-
[pdf]
[poster]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Xiaosong and Peng, Yifan and Lu, Le and Lu, Zhiyong and Bagheri, Mohammadhadi and Summers, Ronald M.},
title = {ChestX-ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning From Simulated and Unsupervised Images Through Adversarial Training-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Shrivastava_2017_CVPR,
author = {Shrivastava, Ashish and Pfister, Tomas and Tuzel, Oncel and Susskind, Joshua and Wang, Wenda and Webb, Russell},
title = {Learning From Simulated and Unsupervised Images Through Adversarial Training},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Feature Pyramid Networks for Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2017_CVPR,
author = {Lin, Tsung-Yi and Dollar, Piotr and Girshick, Ross and He, Kaiming and Hariharan, Bharath and Belongie, Serge},
title = {Feature Pyramid Networks for Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Loss Max-Pooling for Semantic Image Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bulo_2017_CVPR,
author = {Rota Bulo, Samuel and Neuhold, Gerhard and Kontschieder, Peter},
title = {Loss Max-Pooling for Semantic Image Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learned Contextual Feature Reweighting for Image Geo-Localization-
[pdf]
[supp]
[poster]
[video]
[bibtex]@InProceedings{Kim_2017_CVPR,
author = {Jin Kim, Hyo and Dunn, Enrique and Frahm, Jan-Michael},
title = {Learned Contextual Feature Reweighting for Image Geo-Localization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
On the Effectiveness of Visible Watermarks-
[pdf]
[bibtex]@InProceedings{Dekel_2017_CVPR,
author = {Dekel, Tali and Rubinstein, Michael and Liu, Ce and Freeman, William T.},
title = {On the Effectiveness of Visible Watermarks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep View Morphing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ji_2017_CVPR,
author = {Ji, Dinghuang and Kwon, Junghyun and McFarland, Max and Savarese, Silvio},
title = {Deep View Morphing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Designing Illuminant Spectral Power Distributions for Surface Classification-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Blasinski_2017_CVPR,
author = {Blasinski, Henryk and Farrell, Joyce and Wandell, Brian},
title = {Designing Illuminant Spectral Power Distributions for Surface Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
End-To-End Learning of Driving Models From Large-Scale Video Datasets-
[pdf]
[video]
[bibtex]@InProceedings{Xu_2017_CVPR,
author = {Xu, Huazhe and Gao, Yang and Yu, Fisher and Darrell, Trevor},
title = {End-To-End Learning of Driving Models From Large-Scale Video Datasets},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2017_CVPR,
author = {Huang, De-An and Lim, Joseph J. and Fei-Fei, Li and Carlos Niebles, Juan},
title = {Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Dense Captioning With Joint Inference and Visual Context-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Yang_2017_CVPR,
author = {Yang, Linjie and Tang, Kevin and Yang, Jianchao and Li, Li-Jia},
title = {Dense Captioning With Joint Inference and Visual Context},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Unsupervised Learning of Long-Term Motion Dynamics for Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Luo_2017_CVPR,
author = {Luo, Zelun and Peng, Boya and Huang, De-An and Alahi, Alexandre and Fei-Fei, Li},
title = {Unsupervised Learning of Long-Term Motion Dynamics for Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment-
[pdf]
[poster]
[bibtex]@InProceedings{Chang_2017_CVPR,
author = {Chang, Che-Han and Chou, Chun-Nan and Chang, Edward Y.},
title = {CLKN: Cascaded Lucas-Kanade Networks for Image Alignment},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Zeng_2017_CVPR,
author = {Zeng, Kuo-Hao and Chou, Shih-Han and Chan, Fu-Hsiang and Carlos Niebles, Juan and Sun, Min},
title = {Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
ShapeOdds: Variational Bayesian Learning of Generative Shape Models-
[pdf]
[poster]
[bibtex]@InProceedings{Elhabian_2017_CVPR,
author = {Elhabian, Shireen and Whitaker, Ross},
title = {ShapeOdds: Variational Bayesian Learning of Generative Shape Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Huang_2017_CVPR,
author = {Huang, Shiyu and Ramanan, Deva},
title = {Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting-
[pdf]
[bibtex]@InProceedings{Gao_2017_CVPR,
author = {Gao, Zhanning and Hua, Gang and Zhang, Dongqing and Jojic, Nebojsa and Wang, Le and Xue, Jianru and Zheng, Nanning},
title = {ER3: A Unified Framework for Event Retrieval, Recognition and Recounting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Outlier-Robust Tensor PCA-
[pdf]
[bibtex]@InProceedings{Zhou_2017_CVPR,
author = {Zhou, Pan and Feng, Jiashi},
title = {Outlier-Robust Tensor PCA},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yan_2017_CVPR,
author = {Yan, Hongliang and Ding, Yukang and Li, Peihua and Wang, Qilong and Xu, Yong and Zuo, Wangmeng},
title = {Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Yi_2017_CVPR,
author = {Yi, Li and Su, Hao and Guo, Xingwen and Guibas, Leonidas J.},
title = {SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Unrolling the Shutter: CNN to Correct Motion Distortions-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Rengarajan_2017_CVPR,
author = {Rengarajan, Vijay and Balaji, Yogesh and Rajagopalan, A. N.},
title = {Unrolling the Shutter: CNN to Correct Motion Distortions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Level Sets for Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Hu_2017_CVPR,
author = {Hu, Ping and Shuai, Bing and Liu, Jun and Wang, Gang},
title = {Deep Level Sets for Salient Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Instance-Aware Image and Sentence Matching With Selective Multimodal LSTM-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2017_CVPR,
author = {Huang, Yan and Wang, Wei and Wang, Liang},
title = {Instance-Aware Image and Sentence Matching With Selective Multimodal LSTM},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Gong_2017_CVPR,
author = {Gong, Dong and Yang, Jie and Liu, Lingqiao and Zhang, Yanning and Reid, Ian and Shen, Chunhua and van den Hengel, Anton and Shi, Qinfeng},
title = {From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Temporal Linear Encoding Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Diba_2017_CVPR,
author = {Diba, Ali and Sharma, Vivek and Van Gool, Luc},
title = {Deep Temporal Linear Encoding Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
End-To-End Training of Hybrid CNN-CRF Models for Stereo-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Knobelreiter_2017_CVPR,
author = {Knobelreiter, Patrick and Reinbacher, Christian and Shekhovtsov, Alexander and Pock, Thomas},
title = {End-To-End Training of Hybrid CNN-CRF Models for Stereo},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Feature Flow for Video Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2017_CVPR,
author = {Zhu, Xizhou and Xiong, Yuwen and Dai, Jifeng and Yuan, Lu and Wei, Yichen},
title = {Deep Feature Flow for Video Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fully Convolutional Instance-Aware Semantic Segmentation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Yi and Qi, Haozhi and Dai, Jifeng and Ji, Xiangyang and Wei, Yichen},
title = {Fully Convolutional Instance-Aware Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Truncated Max-Of-Convex Models-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Pansari_2017_CVPR,
author = {Pansari, Pankaj and Pawan Kumar, M.},
title = {Truncated Max-Of-Convex Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Asymmetric Feature Maps With Application to Sketch Based Retrieval-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Tolias_2017_CVPR,
author = {Tolias, Giorgos and Chum, Ondrej},
title = {Asymmetric Feature Maps With Application to Sketch Based Retrieval},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Instance-Level Salient Object Segmentation-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Guanbin and Xie, Yuan and Lin, Liang and Yu, Yizhou},
title = {Instance-Level Salient Object Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Kernel Square-Loss Exemplar Machines for Image Retrieval-
[pdf]
[bibtex]@InProceedings{Rezende_2017_CVPR,
author = {Rezende, Rafael S. and Zepeda, Joaquin and Ponce, Jean and Bach, Francis and Perez, Patrick},
title = {Kernel Square-Loss Exemplar Machines for Image Retrieval},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Direct Photometric Alignment by Mesh Deformation-
[pdf]
[bibtex]@InProceedings{Lin_2017_CVPR,
author = {Lin, Kaimo and Jiang, Nianjuan and Liu, Shuaicheng and Cheong, Loong-Fah and Do, Minh and Lu, Jiangbo},
title = {Direct Photometric Alignment by Mesh Deformation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Semantic Multi-View Stereo: Jointly Estimating Objects and Voxels-
[pdf]
[bibtex]@InProceedings{Ulusoy_2017_CVPR,
author = {Osman Ulusoy, Ali and Black, Michael J. and Geiger, Andreas},
title = {Semantic Multi-View Stereo: Jointly Estimating Objects and Voxels},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos-
[pdf]
[bibtex]@InProceedings{Yu_2017_CVPR,
author = {Yu, Tan and Wu, Yuwei and Yuan, Junsong},
title = {HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Adaptive Receptive Fields for Deep Image Parsing Network-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Wei_2017_CVPR,
author = {Wei, Zhen and Sun, Yao and Wang, Jinqiao and Lai, Hanjiang and Liu, Si},
title = {Learning Adaptive Receptive Fields for Deep Image Parsing Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Contour-Constrained Superpixels for Image and Video Processing-
[pdf]
[bibtex]@InProceedings{Lee_2017_CVPR,
author = {Lee, Se-Ho and Jang, Won-Dong and Kim, Chang-Su},
title = {Contour-Constrained Superpixels for Image and Video Processing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Poggi_2017_CVPR,
author = {Poggi, Matteo and Mattoccia, Stefano},
title = {Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Ilg_2017_CVPR,
author = {Ilg, Eddy and Mayer, Nikolaus and Saikia, Tonmoy and Keuper, Margret and Dosovitskiy, Alexey and Brox, Thomas},
title = {FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Growing a Brain: Fine-Tuning by Increasing Model Capacity-
[pdf]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Yu-Xiong and Ramanan, Deva and Hebert, Martial},
title = {Growing a Brain: Fine-Tuning by Increasing Model Capacity},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Feng_2017_CVPR,
author = {Feng, Zhen-Hua and Kittler, Josef and Christmas, William and Huber, Patrik and Wu, Xiao-Jun},
title = {Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Additive Component Analysis-
[pdf]
[bibtex]@InProceedings{Murdock_2017_CVPR,
author = {Murdock, Calvin and De la Torre, Fernando},
title = {Additive Component Analysis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Lifting From the Deep: Convolutional 3D Pose Estimation From a Single Image-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Tome_2017_CVPR,
author = {Tome, Denis and Russell, Chris and Agapito, Lourdes},
title = {Lifting From the Deep: Convolutional 3D Pose Estimation From a Single Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Attentional Push: A Deep Convolutional Network for Augmenting Image Salience With Shared Attention Modeling in Social Scenes-
[pdf]
[bibtex]@InProceedings{Gorji_2017_CVPR,
author = {Gorji, Siavash and Clark, James J.},
title = {Attentional Push: A Deep Convolutional Network for Augmenting Image Salience With Shared Attention Modeling in Social Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fine-Grained Recognition as HSnet Search for Informative Image Parts-
[pdf]
[video]
[bibtex]@InProceedings{Lam_2017_CVPR,
author = {Lam, Michael and Mahasseni, Behrooz and Todorovic, Sinisa},
title = {Fine-Grained Recognition as HSnet Search for Informative Image Parts},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Scalable Person Re-Identification on Supervised Smoothed Manifold-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Bai_2017_CVPR,
author = {Bai, Song and Bai, Xiang and Tian, Qi},
title = {Scalable Person Re-Identification on Supervised Smoothed Manifold},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging-
[pdf]
[bibtex]@InProceedings{Kim_2017_CVPR,
author = {Kim, Hyunwoo J. and Adluru, Nagesh and Suri, Heemanshu and Vemuri, Baba C. and Johnson, Sterling C. and Singh, Vikas},
title = {Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Detecting Oriented Text in Natural Images by Linking Segments-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Shi_2017_CVPR,
author = {Shi, Baoguang and Bai, Xiang and Belongie, Serge},
title = {Detecting Oriented Text in Natural Images by Linking Segments},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Diverse Image Annotation-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2017_CVPR,
author = {Wu, Baoyuan and Jia, Fan and Liu, Wei and Ghanem, Bernard},
title = {Diverse Image Annotation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Inverse Compositional Spatial Transformer Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Lin_2017_CVPR,
author = {Lin, Chen-Hsuan and Lucey, Simon},
title = {Inverse Compositional Spatial Transformer Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies-
[pdf]
[bibtex]@InProceedings{Deng_2017_CVPR,
author = {Deng, Zhiwei and Navarathna, Rajitha and Carr, Peter and Mandt, Stephan and Yue, Yisong and Matthews, Iain and Mori, Greg},
title = {Factorized Variational Autoencoders for Modeling Audience Reactions to Movies},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Adversarially Tuned Scene Generation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Veeravasarapu_2017_CVPR,
author = {Veeravasarapu, VSR and Rothkopf, Constantin and Visvanathan, Ramesh},
title = {Adversarially Tuned Scene Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Binge Watching: Scaling Affordance Learning From Sitcoms-
[pdf]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Xiaolong and Girdhar, Rohit and Gupta, Abhinav},
title = {Binge Watching: Scaling Affordance Learning From Sitcoms},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection-
[pdf]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Xiaolong and Shrivastava, Abhinav and Gupta, Abhinav},
title = {A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Cognitive Mapping and Planning for Visual Navigation-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Gupta_2017_CVPR,
author = {Gupta, Saurabh and Davidson, James and Levine, Sergey and Sukthankar, Rahul and Malik, Jitendra},
title = {Cognitive Mapping and Planning for Visual Navigation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Tulsiani_2017_CVPR,
author = {Tulsiani, Shubham and Zhou, Tinghui and Efros, Alexei A. and Malik, Jitendra},
title = {Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Shape Abstractions by Assembling Volumetric Primitives-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Tulsiani_2017_CVPR,
author = {Tulsiani, Shubham and Su, Hao and Guibas, Leonidas J. and Efros, Alexei A. and Malik, Jitendra},
title = {Learning Shape Abstractions by Assembling Volumetric Primitives},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
AMC: Attention guided Multi-modal Correlation Learning for Image Search-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Chen_2017_CVPR,
author = {Chen, Kan and Bui, Trung and Fang, Chen and Wang, Zhaowen and Nevatia, Ram},
title = {AMC: Attention guided Multi-modal Correlation Learning for Image Search},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2017_CVPR,
author = {Zhu, Linchao and Xu, Zhongwen and Yang, Yi},
title = {Bidirectional Multirate Reconstruction for Temporal Modeling in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Video Object Segmentation From Static Images-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Perazzi_2017_CVPR,
author = {Perazzi, Federico and Khoreva, Anna and Benenson, Rodrigo and Schiele, Bernt and Sorkine-Hornung, Alexander},
title = {Learning Video Object Segmentation From Static Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
The More You Know: Using Knowledge Graphs for Image Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Marino_2017_CVPR,
author = {Marino, Kenneth and Salakhutdinov, Ruslan and Gupta, Abhinav},
title = {The More You Know: Using Knowledge Graphs for Image Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Detecting Masked Faces in the Wild With LLE-CNNs-
[pdf]
[bibtex]@InProceedings{Ge_2017_CVPR,
author = {Ge, Shiming and Li, Jia and Ye, Qiting and Luo, Zhao},
title = {Detecting Masked Faces in the Wild With LLE-CNNs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems-
[pdf]
[bibtex]@InProceedings{Fanello_2017_CVPR,
author = {Ryan Fanello, Sean and Valentin, Julien and Rhemann, Christoph and Kowdle, Adarsh and Tankovich, Vladimir and Davidson, Philip and Izadi, Shahram},
title = {UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Features by Watching Objects Move-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pathak_2017_CVPR,
author = {Pathak, Deepak and Girshick, Ross and Dollar, Piotr and Darrell, Trevor and Hariharan, Bharath},
title = {Learning Features by Watching Objects Move},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Yun_2017_CVPR,
author = {Yun, Sangdoo and Choi, Jongwon and Yoo, Youngjoon and Yun, Kimin and Young Choi, Jin},
title = {Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Multi-Attention Network for One Shot Learning-
[pdf]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Peng and Liu, Lingqiao and Shen, Chunhua and Huang, Zi and van den Hengel, Anton and Tao Shen, Heng},
title = {Multi-Attention Network for One Shot Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition-
[pdf]
[video]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Qilong and Li, Peihua and Zhang, Lei},
title = {G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Depth From Defocus in the Wild-
[pdf]
[bibtex]@InProceedings{Tang_2017_CVPR,
author = {Tang, Huixuan and Cohen, Scott and Price, Brian and Schiller, Stephen and Kutulakos, Kiriakos N.},
title = {Depth From Defocus in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fried Binary Embedding for High-Dimensional Visual Features-
[pdf]
[bibtex]@InProceedings{Hong_2017_CVPR,
author = {Hong, Weixiang and Yuan, Junsong and Das Bhattacharjee, Sreyasee},
title = {Fried Binary Embedding for High-Dimensional Visual Features},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering-
[pdf]
[poster]
[video]
[bibtex]@InProceedings{Jang_2017_CVPR,
author = {Jang, Yunseok and Song, Yale and Yu, Youngjae and Kim, Youngjin and Kim, Gunhee},
title = {TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Joint Registration and Representation Learning for Unconstrained Face Identification-
[pdf]
[bibtex]@InProceedings{Hayat_2017_CVPR,
author = {Hayat, Munawar and Khan, Salman H. and Werghi, Naoufel and Goecke, Roland},
title = {Joint Registration and Representation Learning for Unconstrained Face Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Object-Aware Dense Semantic Correspondence-
[pdf]
[bibtex]@InProceedings{Yang_2017_CVPR,
author = {Yang, Fan and Li, Xin and Cheng, Hong and Li, Jianping and Chen, Leiting},
title = {Object-Aware Dense Semantic Correspondence},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
The Misty Three Point Algorithm for Relative Pose-
[pdf]
[supp]
[bibtex]@InProceedings{Palmer_2017_CVPR,
author = {Palmer, Tobias and Astrom, Kalle and Frahm, Jan-Michael},
title = {The Misty Three Point Algorithm for Relative Pose},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Weakly Supervised Affordance Detection-
[pdf]
[poster]
[bibtex]@InProceedings{Sawatzky_2017_CVPR,
author = {Sawatzky, Johann and Srikantha, Abhilash and Gall, Juergen},
title = {Weakly Supervised Affordance Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
End-To-End Representation Learning for Correlation Filter Based Tracking-
[pdf]
[supp]
[bibtex]@InProceedings{Valmadre_2017_CVPR,
author = {Valmadre, Jack and Bertinetto, Luca and Henriques, Joao and Vedaldi, Andrea and Torr, Philip H. S.},
title = {End-To-End Representation Learning for Correlation Filter Based Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Accurate Depth and Normal Maps From Occlusion-Aware Focal Stack Symmetry-
[pdf]
[poster]
[bibtex]@InProceedings{Strecke_2017_CVPR,
author = {Strecke, Michael and Alperovich, Anna and Goldluecke, Bastian},
title = {Accurate Depth and Normal Maps From Occlusion-Aware Focal Stack Symmetry},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
3D Human Pose Estimation From a Single Image via Distance Matrix Regression-
[pdf]
[arXiv]
[bibtex]@InProceedings{Moreno-Noguer_2017_CVPR,
author = {Moreno-Noguer, Francesc},
title = {3D Human Pose Estimation From a Single Image via Distance Matrix Regression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Zero-Shot Action Recognition With Error-Correcting Output Codes-
[pdf]
[poster]
[bibtex]@InProceedings{Qin_2017_CVPR,
author = {Qin, Jie and Liu, Li and Shao, Ling and Shen, Fumin and Ni, Bingbing and Chen, Jiaxin and Wang, Yunhong},
title = {Zero-Shot Action Recognition With Error-Correcting Output Codes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Multiple Instance Detection Network With Online Instance Classifier Refinement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2017_CVPR,
author = {Tang, Peng and Wang, Xinggang and Bai, Xiang and Liu, Wenyu},
title = {Multiple Instance Detection Network With Online Instance Classifier Refinement},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild-
[pdf]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Shan and Deng, Weihong and Du, JunPing},
title = {Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval-
[pdf]
[poster]
[bibtex]@InProceedings{Liu_2017_CVPR,
author = {Liu, Li and Shen, Fumin and Shen, Yuming and Liu, Xianglong and Shao, Ling},
title = {Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Semantic Regularisation for Recurrent Image Annotation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2017_CVPR,
author = {Liu, Feng and Xiang, Tao and Hospedales, Timothy M. and Yang, Wankou and Sun, Changyin},
title = {Semantic Regularisation for Recurrent Image Annotation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Pyramid Scene Parsing Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2017_CVPR,
author = {Zhao, Hengshuang and Shi, Jianping and Qi, Xiaojuan and Wang, Xiaogang and Jia, Jiaya},
title = {Pyramid Scene Parsing Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
On Human Motion Prediction Using Recurrent Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Martinez_2017_CVPR,
author = {Martinez, Julieta and Black, Michael J. and Romero, Javier},
title = {On Human Motion Prediction Using Recurrent Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Johnson_2017_CVPR,
author = {Johnson, Justin and Hariharan, Bharath and van der Maaten, Laurens and Fei-Fei, Li and Lawrence Zitnick, C. and Girshick, Ross},
title = {CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
SST: Single-Stream Temporal Action Proposals-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Buch_2017_CVPR,
author = {Buch, Shyamal and Escorcia, Victor and Shen, Chuanqi and Ghanem, Bernard and Carlos Niebles, Juan},
title = {SST: Single-Stream Temporal Action Proposals},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Kernel Pooling for Convolutional Neural Networks-
[pdf]
[bibtex]@InProceedings{Cui_2017_CVPR,
author = {Cui, Yin and Zhou, Feng and Wang, Jiang and Liu, Xiao and Lin, Yuanqing and Belongie, Serge},
title = {Kernel Pooling for Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Subspace Clustering via Variance Regularized Ridge Regression-
[pdf]
[bibtex]@InProceedings{Peng_2017_CVPR,
author = {Peng, Chong and Kang, Zhao and Cheng, Qiang},
title = {Subspace Clustering via Variance Regularized Ridge Regression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Straub_2017_CVPR,
author = {Straub, Julian and Campbell, Trevor and How, Jonathan P. and Fisher, III, John W.},
title = {Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
The Incremental Multiresolution Matrix Factorization Algorithm-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ithapu_2017_CVPR,
author = {Ithapu, Vamsi K. and Kondor, Risi and Johnson, Sterling C. and Singh, Vikas},
title = {The Incremental Multiresolution Matrix Factorization Algorithm},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
CATS: A Color and Thermal Stereo Benchmark-
[pdf]
[video]
[bibtex]@InProceedings{Treible_2017_CVPR,
author = {Treible, Wayne and Saponaro, Philip and Sorensen, Scott and Kolagunda, Abhishek and O'Neal, Michael and Phelan, Brian and Sherbondy, Kelly and Kambhamettu, Chandra},
title = {CATS: A Color and Thermal Stereo Benchmark},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Image Matting-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Xu_2017_CVPR,
author = {Xu, Ning and Price, Brian and Cohen, Scott and Huang, Thomas},
title = {Deep Image Matting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Usumezbas_2017_CVPR,
author = {Usumezbas, Anil and Fabbri, Ricardo and Kimia, Benjamin B.},
title = {The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
One-Shot Metric Learning for Person Re-Identification-
[pdf]
[poster]
[bibtex]@InProceedings{Bak_2017_CVPR,
author = {Bak, Slawomir and Carr, Peter},
title = {One-Shot Metric Learning for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Richer Convolutional Features for Edge Detection-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Liu_2017_CVPR,
author = {Liu, Yun and Cheng, Ming-Ming and Hu, Xiaowei and Wang, Kai and Bai, Xiang},
title = {Richer Convolutional Features for Edge Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Video Segmentation via Multiple Granularity Analysis-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2017_CVPR,
author = {Yang, Rui and Ni, Bingbing and Ma, Chao and Xu, Yi and Yang, Xiaokang},
title = {Video Segmentation via Multiple Granularity Analysis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images-
[pdf]
[bibtex]@InProceedings{Salvador_2017_CVPR,
author = {Salvador, Amaia and Hynes, Nicholas and Aytar, Yusuf and Marin, Javier and Ofli, Ferda and Weber, Ingmar and Torralba, Antonio},
title = {Learning Cross-Modal Embeddings for Cooking Recipes and Food Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Locality-Sensitive Deconvolution Networks With Gated Fusion for RGB-D Indoor Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Cheng_2017_CVPR,
author = {Cheng, Yanhua and Cai, Rui and Li, Zhiwei and Zhao, Xin and Huang, Kaiqi},
title = {Locality-Sensitive Deconvolution Networks With Gated Fusion for RGB-D Indoor Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
One-To-Many Network for Visually Pleasing Compression Artifacts Reduction-
[pdf]
[bibtex]@InProceedings{Guo_2017_CVPR,
author = {Guo, Jun and Chao, Hongyang},
title = {One-To-Many Network for Visually Pleasing Compression Artifacts Reduction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Recurrent Modeling of Interaction Context for Collective Activity Recognition-
[pdf]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Minsi and Ni, Bingbing and Yang, Xiaokang},
title = {Recurrent Modeling of Interaction Context for Collective Activity Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Hierarchical Multimodal Metric Learning for Multimodal Classification-
[pdf]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Heng and Patel, Vishal M. and Chellappa, Rama},
title = {Hierarchical Multimodal Metric Learning for Multimodal Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Probabilistic Temporal Subspace Clustering-
[pdf]
[supp]
[bibtex]@InProceedings{Gholami_2017_CVPR,
author = {Gholami, Behnam and Pavlovic, Vladimir},
title = {Probabilistic Temporal Subspace Clustering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Detecting Visual Relationships With Deep Relational Networks-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Dai_2017_CVPR,
author = {Dai, Bo and Zhang, Yuqi and Lin, Dahua},
title = {Detecting Visual Relationships With Deep Relational Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Discover and Learn New Objects From Documentaries-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Chen_2017_CVPR,
author = {Chen, Kai and Song, Hang and Change Loy, Chen and Lin, Dahua},
title = {Discover and Learn New Objects From Documentaries},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos-
[pdf]
[bibtex]@InProceedings{Duta_2017_CVPR,
author = {Cosmin Duta, Ionut and Ionescu, Bogdan and Aizawa, Kiyoharu and Sebe, Nicu},
title = {Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Specular Highlight Removal in Facial Images-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Chen and Lin, Stephen and Zhou, Kun and Ikeuchi, Katsushi},
title = {Specular Highlight Removal in Facial Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Radiometric Calibration From Faces in Images-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Chen and Lin, Stephen and Zhou, Kun and Ikeuchi, Katsushi},
title = {Radiometric Calibration From Faces in Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
What Can Help Pedestrian Detection?-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mao_2017_CVPR,
author = {Mao, Jiayuan and Xiao, Tete and Jiang, Yuning and Cao, Zhimin},
title = {What Can Help Pedestrian Detection?},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
StyleNet: Generating Attractive Visual Captions With Styles-
[pdf]
[bibtex]@InProceedings{Gan_2017_CVPR,
author = {Gan, Chuang and Gan, Zhe and He, Xiaodong and Gao, Jianfeng and Deng, Li},
title = {StyleNet: Generating Attractive Visual Captions With Styles},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Image Super-Resolution via Deep Recursive Residual Network-
[pdf]
[bibtex]@InProceedings{Tai_2017_CVPR,
author = {Tai, Ying and Yang, Jian and Liu, Xiaoming},
title = {Image Super-Resolution via Deep Recursive Residual Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Residual Attention Network for Image Classification-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Fei and Jiang, Mengqing and Qian, Chen and Yang, Shuo and Li, Cheng and Zhang, Honggang and Wang, Xiaogang and Tang, Xiaoou},
title = {Residual Attention Network for Image Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
End-To-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering-
[pdf]
[poster]
[bibtex]@InProceedings{Yu_2017_CVPR,
author = {Yu, Youngjae and Ko, Hyungjin and Choi, Jongwook and Kim, Gunhee},
title = {End-To-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Semantic Autoencoder for Zero-Shot Learning-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Kodirov_2017_CVPR,
author = {Kodirov, Elyor and Xiang, Tao and Gong, Shaogang},
title = {Semantic Autoencoder for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Co-Occurrence Filter-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jevnisek_2017_CVPR,
author = {Jevnisek, Roy J. and Avidan, Shai},
title = {Co-Occurrence Filter},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade-
[pdf]
[poster]
[video]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Xiaoxiao and Liu, Ziwei and Luo, Ping and Change Loy, Chen and Tang, Xiaoou},
title = {Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deeply Supervised Salient Object Detection With Short Connections-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Hou_2017_CVPR,
author = {Hou, Qibin and Cheng, Ming-Ming and Hu, Xiaowei and Borji, Ali and Tu, Zhuowen and Torr, Philip H. S.},
title = {Deeply Supervised Salient Object Detection With Short Connections},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
CityPersons: A Diverse Dataset for Pedestrian Detection-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Shanshan and Benenson, Rodrigo and Schiele, Bernt},
title = {CityPersons: A Diverse Dataset for Pedestrian Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Generalized Rank Pooling for Activity Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cherian_2017_CVPR,
author = {Cherian, Anoop and Fernando, Basura and Harandi, Mehrtash and Gould, Stephen},
title = {Generalized Rank Pooling for Activity Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Cross-Modal Hashing-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Jiang_2017_CVPR,
author = {Jiang, Qing-Yuan and Li, Wu-Jun},
title = {Deep Cross-Modal Hashing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Revisiting Metric Learning for SPD Matrix Based Visual Representation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2017_CVPR,
author = {Zhou, Luping and Wang, Lei and Zhang, Jianjia and Shi, Yinghuan and Gao, Yang},
title = {Revisiting Metric Learning for SPD Matrix Based Visual Representation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
CNN-Based Patch Matching for Optical Flow With Thresholded Hinge Embedding Loss-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Bailer_2017_CVPR,
author = {Bailer, Christian and Varanasi, Kiran and Stricker, Didier},
title = {CNN-Based Patch Matching for Optical Flow With Thresholded Hinge Embedding Loss},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Multi-View Stereo Benchmark With High-Resolution Images and Multi-Camera Videos-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Schops_2017_CVPR,
author = {Schops, Thomas and Schonberger, Johannes L. and Galliani, Silvano and Sattler, Torsten and Schindler, Konrad and Pollefeys, Marc and Geiger, Andreas},
title = {A Multi-View Stereo Benchmark With High-Resolution Images and Multi-Camera Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Snapshot Hyperspectral Light Field Imaging-
[pdf]
[bibtex]@InProceedings{Xiong_2017_CVPR,
author = {Xiong, Zhiwei and Wang, Lizhi and Li, Huiqun and Liu, Dong and Wu, Feng},
title = {Snapshot Hyperspectral Light Field Imaging},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Yanan and Wang, Donghui and Hu, Huanhang and Lin, Yuetan and Zhuang, Yueting},
title = {Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A New Representation of Skeleton Sequences for 3D Action Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ke_2017_CVPR,
author = {Ke, Qiuhong and Bennamoun, Mohammed and An, Senjian and Sohel, Ferdous and Boussaid, Farid},
title = {A New Representation of Skeleton Sequences for 3D Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Efficient Linear Programming for Dense CRFs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ajanthan_2017_CVPR,
author = {Ajanthan, Thalaiyasingam and Desmaison, Alban and Bunel, Rudy and Salzmann, Mathieu and Torr, Philip H. S. and Pawan Kumar, M.},
title = {Efficient Linear Programming for Dense CRFs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Deep Match Kernels for Image-Set Classification-
[pdf]
[bibtex]@InProceedings{Sun_2017_CVPR,
author = {Sun, Haoliang and Zhen, Xiantong and Zheng, Yuanjie and Yang, Gongping and Yin, Yilong and Li, Shuo},
title = {Learning Deep Match Kernels for Image-Set Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection-
[pdf]
[poster]
[bibtex]@InProceedings{Lv_2017_CVPR,
author = {Lv, Jiangjing and Shao, Xiaohu and Xing, Junliang and Cheng, Cheng and Zhou, Xi},
title = {A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Vestner_2017_CVPR,
author = {Vestner, Matthias and Litman, Roee and Rodola, Emanuele and Bronstein, Alex and Cremers, Daniel},
title = {Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Elastic Shape-From-Template With Spatially Sparse Deforming Forces-
[pdf]
[bibtex]@InProceedings{Malti_2017_CVPR,
author = {Malti, Abed and Herzet, Cedric},
title = {Elastic Shape-From-Template With Spatially Sparse Deforming Forces},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds-
[pdf]
[bibtex]@InProceedings{Kaltenmark_2017_CVPR,
author = {Kaltenmark, Irene and Charlier, Benjamin and Charon, Nicolas},
title = {A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks-
[pdf]
[bibtex]@InProceedings{Han_2017_CVPR,
author = {Han, Bohyung and Sim, Jack and Adam, Hartwig},
title = {BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Expert Gate: Lifelong Learning With a Network of Experts-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Aljundi_2017_CVPR,
author = {Aljundi, Rahaf and Chakravarty, Punarjay and Tuytelaars, Tinne},
title = {Expert Gate: Lifelong Learning With a Network of Experts},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kar_2017_CVPR,
author = {Kar, Amlan and Rai, Nishant and Sikka, Karan and Sharma, Gaurav},
title = {AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Motion Patterns in Videos-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Tokmakov_2017_CVPR,
author = {Tokmakov, Pavel and Alahari, Karteek and Schmid, Cordelia},
title = {Learning Motion Patterns in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Provable Self-Representation Based Outlier Detection in a Union of Subspaces-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{You_2017_CVPR,
author = {You, Chong and Robinson, Daniel P. and Vidal, Rene},
title = {Provable Self-Representation Based Outlier Detection in a Union of Subspaces},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Structured Learning for Facial Action Unit Intensity Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Walecki_2017_CVPR,
author = {Walecki, Robert and (Oggi) Rudovic, Ognjen and Pavlovic, Vladimir and Schuller, Bjoern and Pantic, Maja},
title = {Deep Structured Learning for Facial Action Unit Intensity Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Joint Detection and Identification Feature Learning for Person Search-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Xiao_2017_CVPR,
author = {Xiao, Tong and Li, Shuang and Wang, Bochao and Lin, Liang and Wang, Xiaogang},
title = {Joint Detection and Identification Feature Learning for Person Search},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization-
[pdf]
[poster]
[bibtex]@InProceedings{Armagan_2017_CVPR,
author = {Armagan, Anil and Hirzer, Martin and Roth, Peter M. and Lepetit, Vincent},
title = {Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
LCR-Net: Localization-Classification-Regression for Human Pose-
[pdf]
[video]
[bibtex]@InProceedings{Rogez_2017_CVPR,
author = {Rogez, Gregory and Weinzaepfel, Philippe and Schmid, Cordelia},
title = {LCR-Net: Localization-Classification-Regression for Human Pose},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Primary Object Segmentation in Videos Based on Region Augmentation and Reduction-
[pdf]
[bibtex]@InProceedings{Koh_2017_CVPR,
author = {Jun Koh, Yeong and Kim, Chang-Su},
title = {Primary Object Segmentation in Videos Based on Region Augmentation and Reduction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep 360 Pilot: Learning a Deep Agent for Piloting Through 360deg Sports Videos-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Hu_2017_CVPR,
author = {Hu, Hou-Ning and Lin, Yen-Chen and Liu, Ming-Yu and Cheng, Hsien-Tzu and Chang, Yung-Ju and Sun, Min},
title = {Deep 360 Pilot: Learning a Deep Agent for Piloting Through 360deg Sports Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shi_2017_CVPR,
author = {Shi, Zhiyuan and Kim, Tae-Kyun},
title = {Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion-
[pdf]
[bibtex]@InProceedings{Wu_2017_CVPR,
author = {Wu, Yue and Gou, Chao and Ji, Qiang},
title = {Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Domain Based Approach to Social Relation Recognition-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Sun_2017_CVPR,
author = {Sun, Qianru and Schiele, Bernt and Fritz, Mario},
title = {A Domain Based Approach to Social Relation Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2017_CVPR,
author = {Xu, Hongteng and Yan, Junchi and Persson, Nils and Lin, Weiyao and Zha, Hongyuan},
title = {Fractal Dimension Invariant Filtering and Its CNN-Based Implementation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2017_CVPR,
author = {Park, Eunbyung and Yang, Jimei and Yumer, Ersin and Ceylan, Duygu and Berg, Alexander C.},
title = {Transformation-Grounded Image Generation Network for Novel 3D View Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Noise-Blind Image Deblurring-
[pdf]
[supp]
[bibtex]@InProceedings{Jin_2017_CVPR,
author = {Jin, Meiguang and Roth, Stefan and Favaro, Paolo},
title = {Noise-Blind Image Deblurring},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild-
[pdf]
[supp]
[bibtex]@InProceedings{He_2017_CVPR,
author = {He, Dafang and Yang, Xiao and Liang, Chen and Zhou, Zihan and Ororbi, II, Alexander G. and Kifer, Daniel and Lee Giles, C.},
title = {Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation-
[pdf]
[bibtex]@InProceedings{Roy_2017_CVPR,
author = {Roy, Anirban and Todorovic, Sinisa},
title = {Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Multiple People Tracking by Lifted Multicut and Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Tang_2017_CVPR,
author = {Tang, Siyu and Andriluka, Mykhaylo and Andres, Bjoern and Schiele, Bernt},
title = {Multiple People Tracking by Lifted Multicut and Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Filter Flow Made Practical: Massively Parallel and Lock-Free-
[pdf]
[bibtex]@InProceedings{Ravi_2017_CVPR,
author = {Ravi, Sathya N. and Xiong, Yunyang and Mukherjee, Lopamudra and Singh, Vikas},
title = {Filter Flow Made Practical: Massively Parallel and Lock-Free},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Acquiring Axially-Symmetric Transparent Objects Using Single-View Transmission Imaging-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Kim_2017_CVPR,
author = {Kim, Jaewon and Reshetouski, Ilya and Ghosh, Abhijeet},
title = {Acquiring Axially-Symmetric Transparent Objects Using Single-View Transmission Imaging},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Online Graph Completion: Multivariate Signal Recovery in Computer Vision-
[pdf]
[bibtex]@InProceedings{Kim_2017_CVPR,
author = {Hwa Kim, Won and Jalal, Mona and Hwang, Seongjae and Johnson, Sterling C. and Singh, Vikas},
title = {Online Graph Completion: Multivariate Signal Recovery in Computer Vision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
OctNet: Learning Deep 3D Representations at High Resolutions-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Riegler_2017_CVPR,
author = {Riegler, Gernot and Osman Ulusoy, Ali and Geiger, Andreas},
title = {OctNet: Learning Deep 3D Representations at High Resolutions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Non-Local Color Image Denoising With Convolutional Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lefkimmiatis_2017_CVPR,
author = {Lefkimmiatis, Stamatios},
title = {Non-Local Color Image Denoising With Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data-
[pdf]
[supp]
[poster]
[video]
[bibtex]@InProceedings{Janai_2017_CVPR,
author = {Janai, Joel and Guney, Fatma and Wulff, Jonas and Black, Michael J. and Geiger, Andreas},
title = {Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Cross-View Image Matching for Geo-Localization in Urban Environments-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tian_2017_CVPR,
author = {Tian, Yicong and Chen, Chen and Shah, Mubarak},
title = {Cross-View Image Matching for Geo-Localization in Urban Environments},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Improving Pairwise Ranking for Multi-Label Image Classification-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Yuncheng and Song, Yale and Luo, Jiebo},
title = {Improving Pairwise Ranking for Multi-Label Image Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Webly Supervised Semantic Segmentation-
[pdf]
[poster]
[bibtex]@InProceedings{Jin_2017_CVPR,
author = {Jin, Bin and Ortiz Segovia, Maria V. and Susstrunk, Sabine},
title = {Webly Supervised Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Self-Supervised Video Representation Learning With Odd-One-Out Networks-
[pdf]
[bibtex]@InProceedings{Fernando_2017_CVPR,
author = {Fernando, Basura and Bilen, Hakan and Gavves, Efstratios and Gould, Stephen},
title = {Self-Supervised Video Representation Learning With Odd-One-Out Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fast Video Classification via Adaptive Cascading of Deep Models-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Shen_2017_CVPR,
author = {Shen, Haichen and Han, Seungyeop and Philipose, Matthai and Krishnamurthy, Arvind},
title = {Fast Video Classification via Adaptive Cascading of Deep Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Non-Contact Full Field Vibration Measurement Based on Phase-Shifting-
[pdf]
[poster]
[bibtex]@InProceedings{Kayaba_2017_CVPR,
author = {Kayaba, Hiroyuki and Kokumai, Yuji},
title = {Non-Contact Full Field Vibration Measurement Based on Phase-Shifting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Jain_2017_CVPR,
author = {Dutt Jain, Suyog and Xiong, Bo and Grauman, Kristen},
title = {FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Yoo_2017_CVPR,
author = {Yoo, YoungJoon and Yun, Sangdoo and Jin Chang, Hyung and Demiris, Yiannis and Young Choi, Jin},
title = {Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Temporal Action Localization by Structured Maximal Sums-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yuan_2017_CVPR,
author = {Yuan, Zehuan and Stroud, Jonathan C. and Lu, Tong and Deng, Jia},
title = {Temporal Action Localization by Structured Maximal Sums},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Simonovsky_2017_CVPR,
author = {Simonovsky, Martin and Komodakis, Nikos},
title = {Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Synthesizing Normalized Faces From Facial Identity Features-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Cole_2017_CVPR,
author = {Cole, Forrester and Belanger, David and Krishnan, Dilip and Sarna, Aaron and Mosseri, Inbar and Freeman, William T.},
title = {Synthesizing Normalized Faces From Facial Identity Features},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description-
[pdf]
[poster]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Xishan and Gao, Ke and Zhang, Yongdong and Zhang, Dongming and Li, Jintao and Tian, Qi},
title = {Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Unsupervised Pixel-Level Domain Adaptation With Generative Adversarial Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Bousmalis_2017_CVPR,
author = {Bousmalis, Konstantinos and Silberman, Nathan and Dohan, David and Erhan, Dumitru and Krishnan, Dilip},
title = {Unsupervised Pixel-Level Domain Adaptation With Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm-
[pdf]
[poster]
[bibtex]@InProceedings{Yokota_2017_CVPR,
author = {Yokota, Tatsuya and Hontani, Hidekata},
title = {Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Point to Set Similarity Based Deep Feature Learning for Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Zhou_2017_CVPR,
author = {Zhou, Sanping and Wang, Jinjun and Wang, Jiayun and Gong, Yihong and Zheng, Nanning},
title = {Point to Set Similarity Based Deep Feature Learning for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Gated Feedback Refinement Network for Dense Image Labeling-
[pdf]
[poster]
[bibtex]@InProceedings{Islam_2017_CVPR,
author = {Amirul Islam, Md and Rochan, Mrigank and Bruce, Neil D. B. and Wang, Yang},
title = {Gated Feedback Refinement Network for Dense Image Labeling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders-
[pdf]
[video]
[bibtex]@InProceedings{Yu_2017_CVPR,
author = {Yu, Xin and Porikli, Fatih},
title = {Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Dynamic Guidance for Depth Image Enhancement-
[pdf]
[bibtex]@InProceedings{Gu_2017_CVPR,
author = {Gu, Shuhang and Zuo, Wangmeng and Guo, Shi and Chen, Yunjin and Chen, Chongyu and Zhang, Lei},
title = {Learning Dynamic Guidance for Depth Image Enhancement},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
3D Shape Segmentation With Projective Convolutional Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Kalogerakis_2017_CVPR,
author = {Kalogerakis, Evangelos and Averkiou, Melinos and Maji, Subhransu and Chaudhuri, Siddhartha},
title = {3D Shape Segmentation With Projective Convolutional Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Image Harmonization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tsai_2017_CVPR,
author = {Tsai, Yi-Hsuan and Shen, Xiaohui and Lin, Zhe and Sunkavalli, Kalyan and Lu, Xin and Yang, Ming-Hsuan},
title = {Deep Image Harmonization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Matrix Tri-Factorization With Manifold Regularizations for Zero-Shot Learning-
[pdf]
[poster]
[bibtex]@InProceedings{Xu_2017_CVPR,
author = {Xu, Xing and Shen, Fumin and Yang, Yang and Zhang, Dongxiang and Tao Shen, Heng and Song, Jingkuan},
title = {Matrix Tri-Factorization With Manifold Regularizations for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Spatio-Temporal Alignment of Non-Overlapping Sequences From Independently Panning Cameras-
[pdf]
[bibtex]@InProceedings{Safdarnejad_2017_CVPR,
author = {Morteza Safdarnejad, Seyed and Liu, Xiaoming},
title = {Spatio-Temporal Alignment of Non-Overlapping Sequences From Independently Panning Cameras},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Fully Convolutional Networks for Iterative Non-Blind Deconvolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Jiawei and Pan, Jinshan and Lai, Wei-Sheng and Lau, Rynson W. H. and Yang, Ming-Hsuan},
title = {Learning Fully Convolutional Networks for Iterative Non-Blind Deconvolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Seeing Into Darkness: Scotopic Visual Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2017_CVPR,
author = {Chen, Bo and Perona, Pietro},
title = {Seeing Into Darkness: Scotopic Visual Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context-
[pdf]
[video]
[bibtex]@InProceedings{Yan_2017_CVPR,
author = {Yan, Qingan and Yang, Long and Zhang, Ling and Xiao, Chunxia},
title = {Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning an Invariant Hilbert Space for Domain Adaptation-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Herath_2017_CVPR,
author = {Herath, Samitha and Harandi, Mehrtash and Porikli, Fatih},
title = {Learning an Invariant Hilbert Space for Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Removing Rain From Single Images via a Deep Detail Network-
[pdf]
[poster]
[bibtex]@InProceedings{Fu_2017_CVPR,
author = {Fu, Xueyang and Huang, Jiabin and Zeng, Delu and Huang, Yue and Ding, Xinghao and Paisley, John},
title = {Removing Rain From Single Images via a Deep Detail Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Binarized Mode Seeking for Scalable Visual Pattern Discovery-
[pdf]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Wei and Cao, Xiaochun and Wang, Rui and Guo, Yuanfang and Chen, Zhineng},
title = {Binarized Mode Seeking for Scalable Visual Pattern Discovery},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation-
[pdf]
[bibtex]@InProceedings{Chen_2017_CVPR,
author = {Chen, Jiaxin and Wang, Yunhong and Qin, Jie and Liu, Li and Shao, Ling},
title = {Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Nah_2017_CVPR,
author = {Nah, Seungjun and Hyun Kim, Tae and Mu Lee, Kyoung},
title = {Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Crisp Boundaries-
[pdf]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Yupei and Zhao, Xin and Huang, Kaiqi},
title = {Deep Crisp Boundaries},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Liu_2017_CVPR,
author = {Liu, Haomiao and Wang, Ruiping and Shan, Shiguang and Chen, Xilin},
title = {Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Generative Face Completion-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Yijun and Liu, Sifei and Yang, Jimei and Yang, Ming-Hsuan},
title = {Generative Face Completion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Diversified Texture Synthesis With Feed-Forward Networks-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Li_2017_CVPR,
author = {Li, Yijun and Fang, Chen and Yang, Jimei and Wang, Zhaowen and Lu, Xin and Yang, Ming-Hsuan},
title = {Diversified Texture Synthesis With Feed-Forward Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Deep CNN Denoiser Prior for Image Restoration-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Kai and Zuo, Wangmeng and Gu, Shuhang and Zhang, Lei},
title = {Learning Deep CNN Denoiser Prior for Image Restoration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fast Multi-Frame Stereo Scene Flow With Motion Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Taniai_2017_CVPR,
author = {Taniai, Tatsunori and Sinha, Sudipta N. and Sato, Yoichi},
title = {Fast Multi-Frame Stereo Scene Flow With Motion Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
DeepPermNet: Visual Permutation Learning-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Cruz_2017_CVPR,
author = {Santa Cruz, Rodrigo and Fernando, Basura and Cherian, Anoop and Gould, Stephen},
title = {DeepPermNet: Visual Permutation Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Light Field Blind Motion Deblurring-
[pdf]
[arXiv]
[bibtex]@InProceedings{Srinivasan_2017_CVPR,
author = {Srinivasan, Pratul P. and Ng, Ren and Ramamoorthi, Ravi},
title = {Light Field Blind Motion Deblurring},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Wetness and Color From a Single Multispectral Image-
[pdf]
[bibtex]@InProceedings{Shimano_2017_CVPR,
author = {Shimano, Mihoko and Okawa, Hiroki and Asano, Yuta and Bise, Ryoma and Nishino, Ko and Sato, Imari},
title = {Wetness and Color From a Single Multispectral Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Seeing Invisible Poses: Estimating 3D Body Pose From Egocentric Video-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Jiang_2017_CVPR,
author = {Jiang, Hao and Grauman, Kristen},
title = {Seeing Invisible Poses: Estimating 3D Body Pose From Egocentric Video},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Controlling Perceptual Factors in Neural Style Transfer-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Gatys_2017_CVPR,
author = {Gatys, Leon A. and Ecker, Alexander S. and Bethge, Matthias and Hertzmann, Aaron and Shechtman, Eli},
title = {Controlling Perceptual Factors in Neural Style Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning to Rank Retargeted Images-
[pdf]
[bibtex]@InProceedings{Chen_2017_CVPR,
author = {Chen, Yang and Liu, Yong-Jin and Lai, Yu-Kun},
title = {Learning to Rank Retargeted Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Image Deblurring via Extreme Channels Prior-
[pdf]
[supp]
[bibtex]@InProceedings{Yan_2017_CVPR,
author = {Yan, Yanyang and Ren, Wenqi and Guo, Yuanfang and Wang, Rui and Cao, Xiaochun},
title = {Image Deblurring via Extreme Channels Prior},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fixed-Point Factorized Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Peisong and Cheng, Jian},
title = {Fixed-Point Factorized Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Large Margin Object Tracking With Circulant Feature Maps-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Mengmeng and Liu, Yong and Huang, Zeyi},
title = {Large Margin Object Tracking With Circulant Feature Maps},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Residual Images for Face Attribute Manipulation-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Shen_2017_CVPR,
author = {Shen, Wei and Liu, Rujie},
title = {Learning Residual Images for Face Attribute Manipulation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
One-Shot Hyperspectral Imaging Using Faced Reflectors-
[pdf]
[poster]
[bibtex]@InProceedings{Takatani_2017_CVPR,
author = {Takatani, Tsuyoshi and Aoto, Takahito and Mukaigawa, Yasuhiro},
title = {One-Shot Hyperspectral Imaging Using Faced Reflectors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images-
[pdf]
[bibtex]@InProceedings{Cheng_2017_CVPR,
author = {Cheng, Zhi-Qi and Wu, Xiao and Liu, Yang and Hua, Xian-Sheng},
title = {Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors-
[pdf]
[supp]
[bibtex]@InProceedings{Jiang_2017_CVPR,
author = {Jiang, Tai-Xiang and Huang, Ting-Zhu and Zhao, Xi-Le and Deng, Liang-Jian and Wang, Yao},
title = {A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal-
[pdf]
[poster]
[bibtex]@InProceedings{Qu_2017_CVPR,
author = {Qu, Liangqiong and Tian, Jiandong and He, Shengfeng and Tang, Yandong and Lau, Rynson W. H.},
title = {DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval-
[pdf]
[bibtex]@InProceedings{Mandal_2017_CVPR,
author = {Mandal, Devraj and Chaudhury, Kunal N. and Biswas, Soma},
title = {Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
FC4: Fully Convolutional Color Constancy With Confidence-Weighted Pooling-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2017_CVPR,
author = {Hu, Yuanming and Wang, Baoyuan and Lin, Stephen},
title = {FC4: Fully Convolutional Color Constancy With Confidence-Weighted Pooling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers-
[pdf]
[poster]
[bibtex]@InProceedings{Haouchine_2017_CVPR,
author = {Haouchine, Nazim and Cotin, Stephane},
title = {Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Discriminative Optimization: Theory and Applications to Point Cloud Registration-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Vongkulbhisal_2017_CVPR,
author = {Vongkulbhisal, Jayakorn and De la Torre, Fernando and Costeira, Joao P.},
title = {Discriminative Optimization: Theory and Applications to Point Cloud Registration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fine-Grained Recognition of Thousands of Object Categories With Single-Example Training-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Karlinsky_2017_CVPR,
author = {Karlinsky, Leonid and Shtok, Joseph and Tzur, Yochay and Tzadok, Asaf},
title = {Fine-Grained Recognition of Thousands of Object Categories With Single-Example Training},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Co-Occurrence Feature Learning for Visual Object Recognition-
[pdf]
[poster]
[bibtex]@InProceedings{Shih_2017_CVPR,
author = {Shih, Ya-Fang and Yeh, Yang-Ming and Lin, Yen-Yu and Weng, Ming-Fang and Lu, Yi-Chang and Chuang, Yung-Yu},
title = {Deep Co-Occurrence Feature Learning for Visual Object Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning-
[pdf]
[poster]
[bibtex]@InProceedings{Yim_2017_CVPR,
author = {Yim, Junho and Joo, Donggyu and Bae, Jihoon and Kim, Junmo},
title = {A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors-
[pdf]
[poster]
[video]
[bibtex]@InProceedings{Xia_2017_CVPR,
author = {Xia, Changqun and Li, Jia and Chen, Xiaowu and Zheng, Anlin and Zhang, Yu},
title = {What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Pohlen_2017_CVPR,
author = {Pohlen, Tobias and Hermans, Alexander and Mathias, Markus and Leibe, Bastian},
title = {Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Optical Flow Estimation Using a Spatial Pyramid Network-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Ranjan_2017_CVPR,
author = {Ranjan, Anurag and Black, Michael J.},
title = {Optical Flow Estimation Using a Spatial Pyramid Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition-
[pdf]
[poster]
[bibtex]@InProceedings{Weng_2017_CVPR,
author = {Weng, Junwu and Weng, Chaoqun and Yuan, Junsong},
title = {Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
GMS: Grid-based Motion Statistics for Fast, Ultra-Robust Feature Correspondence-
[pdf]
[supp]
[poster]
[bibtex]@InProceedings{Bian_2017_CVPR,
author = {Bian, JiaWang and Lin, Wen-Yan and Matsushita, Yasuyuki and Yeung, Sai-Kit and Nguyen, Tan-Dat and Cheng, Ming-Ming},
title = {GMS: Grid-based Motion Statistics for Fast, Ultra-Robust Feature Correspondence},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Detailed, Accurate, Human Shape Estimation From Clothed 3D Scan Sequences-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Chao and Pujades, Sergi and Black, Michael J. and Pons-Moll, Gerard},
title = {Detailed, Accurate, Human Shape Estimation From Clothed 3D Scan Sequences},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Active Convolution: Learning the Shape of Convolution for Image Classification-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Jeon_2017_CVPR,
author = {Jeon, Yunho and Kim, Junmo},
title = {Active Convolution: Learning the Shape of Convolution for Image Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Video Desnowing and Deraining Based on Matrix Decomposition-
[pdf]
[poster]
[bibtex]@InProceedings{Ren_2017_CVPR,
author = {Ren, Weihong and Tian, Jiandong and Han, Zhi and Chan, Antoni and Tang, Yandong},
title = {Video Desnowing and Deraining Based on Matrix Decomposition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Song_2017_CVPR,
author = {Song, Jie and Wang, Limin and Van Gool, Luc and Hilliges, Otmar},
title = {Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Self-Supervised Learning of Visual Features Through Embedding Images Into Text Topic Spaces-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Gomez_2017_CVPR,
author = {Gomez, Lluis and Patel, Yash and Rusinol, Marcal and Karatzas, Dimosthenis and Jawahar, C. V.},
title = {Self-Supervised Learning of Visual Features Through Embedding Images Into Text Topic Spaces},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Coarse-To-Fine Segmentation With Shape-Tailored Continuum Scale Spaces-
[pdf]
[supp]
[bibtex]@InProceedings{Khan_2017_CVPR,
author = {Khan, Naeemullah and Hong, Byung-Woo and Yezzi, Anthony and Sundaramoorthi, Ganesh},
title = {Coarse-To-Fine Segmentation With Shape-Tailored Continuum Scale Spaces},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Minimum Delay Moving Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Lao_2017_CVPR,
author = {Lao, Dong and Sundaramoorthi, Ganesh},
title = {Minimum Delay Moving Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising-
[pdf]
[supp]
[bibtex]@InProceedings{Chang_2017_CVPR,
author = {Chang, Yi and Yan, Luxin and Zhong, Sheng},
title = {Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Online Asymmetric Similarity Learning for Cross-Modal Retrieval-
[pdf]
[poster]
[bibtex]@InProceedings{Wu_2017_CVPR,
author = {Wu, Yiling and Wang, Shuhui and Huang, Qingming},
title = {Online Asymmetric Similarity Learning for Cross-Modal Retrieval},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Latent Multi-View Subspace Clustering-
[pdf]
[video]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Changqing and Hu, Qinghua and Fu, Huazhu and Zhu, Pengfei and Cao, Xiaochun},
title = {Latent Multi-View Subspace Clustering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Unsupervised Vanishing Point Detection and Camera Calibration From a Single Manhattan Image With Radial Distortion-
[pdf]
[bibtex]@InProceedings{Antunes_2017_CVPR,
author = {Antunes, Michel and Barreto, Joao P. and Aouada, Djamila and Ottersten, Bjorn},
title = {Unsupervised Vanishing Point Detection and Camera Calibration From a Single Manhattan Image With Radial Distortion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs-
[pdf]
[bibtex]@InProceedings{Koller_2017_CVPR,
author = {Koller, Oscar and Zargaran, Sepehr and Ney, Hermann},
title = {Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Improving Interpretability of Deep Neural Networks With Semantic Information-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Dong_2017_CVPR,
author = {Dong, Yinpeng and Su, Hang and Zhu, Jun and Zhang, Bo},
title = {Improving Interpretability of Deep Neural Networks With Semantic Information},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Social Scene Understanding: End-To-End Multi-Person Action Localization and Collective Activity Recognition-
[pdf]
[bibtex]@InProceedings{Bagautdinov_2017_CVPR,
author = {Bagautdinov, Timur and Alahi, Alexandre and Fleuret, Francois and Fua, Pascal and Savarese, Silvio},
title = {Social Scene Understanding: End-To-End Multi-Person Action Localization and Collective Activity Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
UntrimmedNets for Weakly Supervised Action Recognition and Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Limin and Xiong, Yuanjun and Lin, Dahua and Van Gool, Luc},
title = {UntrimmedNets for Weakly Supervised Action Recognition and Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Multi-Task Correlation Particle Filter for Robust Object Tracking-
[pdf]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Tianzhu and Xu, Changsheng and Yang, Ming-Hsuan},
title = {Multi-Task Correlation Particle Filter for Robust Object Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Improving Training of Deep Neural Networks via Singular Value Bounding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jia_2017_CVPR,
author = {Jia, Kui and Tao, Dacheng and Gao, Shenghua and Xu, Xiangmin},
title = {Improving Training of Deep Neural Networks via Singular Value Bounding},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Peng_2017_CVPR,
author = {Peng, Chao and Zhang, Xiangyu and Yu, Gang and Luo, Guiming and Sun, Jian},
title = {Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Neural Aggregation Network for Video Face Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2017_CVPR,
author = {Yang, Jiaolong and Ren, Peiran and Zhang, Dongqing and Chen, Dong and Wen, Fang and Li, Hongdong and Hua, Gang},
title = {Neural Aggregation Network for Video Face Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Mengmi and Teck Ma, Keng and Hwee Lim, Joo and Zhao, Qi and Feng, Jiashi},
title = {Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Simultaneous Stereo Video Deblurring and Scene Flow Estimation-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Pan_2017_CVPR,
author = {Pan, Liyuan and Dai, Yuchao and Liu, Miaomiao and Porikli, Fatih},
title = {Simultaneous Stereo Video Deblurring and Scene Flow Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
An Empirical Evaluation of Visual Question Answering for Novel Objects-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Ramakrishnan_2017_CVPR,
author = {Ramakrishnan, Santhosh K. and Pal, Ambar and Sharma, Gaurav and Mittal, Anurag},
title = {An Empirical Evaluation of Visual Question Answering for Novel Objects},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Binary Constraint Preserving Graph Matching-
[pdf]
[bibtex]@InProceedings{Jiang_2017_CVPR,
author = {Jiang, Bo and Tang, Jin and Ding, Chris and Luo, Bin},
title = {Binary Constraint Preserving Graph Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Exploiting Saliency for Object Segmentation From Image Level Labels-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Oh_2017_CVPR,
author = {Joon Oh, Seong and Benenson, Rodrigo and Khoreva, Anna and Akata, Zeynep and Fritz, Mario and Schiele, Bernt},
title = {Exploiting Saliency for Object Segmentation From Image Level Labels},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Predicting Salient Face in Multiple-Face Videos-
[pdf]
[bibtex]@InProceedings{Liu_2017_CVPR,
author = {Liu, Yufan and Zhang, Songyang and Xu, Mai and He, Xuming},
title = {Predicting Salient Face in Multiple-Face Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos-
[pdf]
[poster]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Dingwen and Yang, Le and Meng, Deyu and Xu, Dong and Han, Junwei},
title = {SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition-
[pdf]
[bibtex]@InProceedings{Fu_2017_CVPR,
author = {Fu, Jianlong and Zheng, Heliang and Mei, Tao},
title = {Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
From Local to Global: Edge Profiles to Camera Motion in Blurred Images-
[pdf]
[supp]
[bibtex]@InProceedings{Vasu_2017_CVPR,
author = {Vasu, Subeesh and Rajagopalan, A. N.},
title = {From Local to Global: Edge Profiles to Camera Motion in Blurred Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
On-The-Fly Adaptation of Regression Forests for Online Camera Relocalisation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Cavallari_2017_CVPR,
author = {Cavallari, Tommaso and Golodetz, Stuart and Lord, Nicholas A. and Valentin, Julien and Di Stefano, Luigi and Torr, Philip H. S.},
title = {On-The-Fly Adaptation of Regression Forests for Online Camera Relocalisation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space-
[pdf]
[supp]
[bibtex]@InProceedings{Nguyen_2017_CVPR,
author = {Nguyen, Anh and Clune, Jeff and Bengio, Yoshua and Dosovitskiy, Alexey and Yosinski, Jason},
title = {Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors-
[pdf]
[bibtex]@InProceedings{Koniusz_2017_CVPR,
author = {Koniusz, Piotr and Tas, Yusuf and Porikli, Fatih},
title = {Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking-
[pdf]
[supp]
[bibtex]@InProceedings{Sheng_2017_CVPR,
author = {Sheng, Lu and Cai, Jianfei and Cham, Tat-Jen and Pavlovic, Vladimir and Ngi Ngan, King},
title = {A Generative Model for Depth-Based Robust 3D Facial Pose Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Single Image Reflection Suppression-
[pdf]
[bibtex]@InProceedings{Arvanitopoulos_2017_CVPR,
author = {Arvanitopoulos, Nikolaos and Achanta, Radhakrishna and Susstrunk, Sabine},
title = {Single Image Reflection Suppression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Non-Maximum Suppression-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Hosang_2017_CVPR,
author = {Hosang, Jan and Benenson, Rodrigo and Schiele, Bernt},
title = {Learning Non-Maximum Suppression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
BRISKS: Binary Features for Spherical Images on a Geodesic Grid-
[pdf]
[poster]
[bibtex]@InProceedings{Guan_2017_CVPR,
author = {Guan, Hao and Smith, William A. P.},
title = {BRISKS: Binary Features for Spherical Images on a Geodesic Grid},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Gaze Embeddings for Zero-Shot Image Classification-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Karessli_2017_CVPR,
author = {Karessli, Nour and Akata, Zeynep and Schiele, Bernt and Bulling, Andreas},
title = {Gaze Embeddings for Zero-Shot Image Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ma_2017_CVPR,
author = {Ma, Shuang and Liu, Jing and Wen Chen, Chang},
title = {A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Toroidal Constraints for Two-Point Localization Under High Outlier Ratios-
[pdf]
[poster]
[bibtex]@InProceedings{Camposeco_2017_CVPR,
author = {Camposeco, Federico and Sattler, Torsten and Cohen, Andrea and Geiger, Andreas and Pollefeys, Marc},
title = {Toroidal Constraints for Two-Point Localization Under High Outlier Ratios},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Hidden Layers in Perceptual Learning-
[pdf]
[poster]
[video]
[bibtex]@InProceedings{Cohen_2017_CVPR,
author = {Cohen, Gad and Weinshall, Daphna},
title = {Hidden Layers in Perceptual Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zweig_2017_CVPR,
author = {Zweig, Shay and Wolf, Lior},
title = {InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images-
[pdf]
[poster]
[bibtex]@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Dingwen and Han, Junwei and Yang, Yang and Huang, Dong},
title = {Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Zero-Shot Learning - the Good, the Bad and the Ugly-
[pdf]
[poster]
[bibtex]@InProceedings{Xian_2017_CVPR,
author = {Xian, Yongqin and Schiele, Bernt and Akata, Zeynep},
title = {Zero-Shot Learning - the Good, the Bad and the Ugly},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Learning the Multilinear Structure of Visual Data-
[pdf]
[poster]
[bibtex]@InProceedings{Wang_2017_CVPR,
author = {Wang, Mengjiao and Panagakis, Yannis and Snape, Patrick and Zafeiriou, Stefanos},
title = {Learning the Multilinear Structure of Visual Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Linking Image and Text With 2-Way Nets-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Eisenschtat_2017_CVPR,
author = {Eisenschtat, Aviv and Wolf, Lior},
title = {Linking Image and Text With 2-Way Nets},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Unsupervised Semantic Scene Labeling for Streaming Data-
[pdf]
[poster]
[bibtex]@InProceedings{Wigness_2017_CVPR,
author = {Wigness, Maggie and Rogers, III, John G.},
title = {Unsupervised Semantic Scene Labeling for Streaming Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Esmaeili_2017_CVPR,
author = {Esmaeili, Seyed A. and Singh, Bharat and Davis, Larry S.},
title = {Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder-
[pdf]
[bibtex]@InProceedings{Elbaz_2017_CVPR,
author = {Elbaz, Gil and Avraham, Tamar and Fischer, Anath},
title = {3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Improved Stereo Matching With Constant Highway Networks and Reflective Confidence Learning-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Shaked_2017_CVPR,
author = {Shaked, Amit and Wolf, Lior},
title = {Improved Stereo Matching With Constant Highway Networks and Reflective Confidence Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Superpixels and Polygons Using Simple Non-Iterative Clustering-
[pdf]
[bibtex]@InProceedings{Achanta_2017_CVPR,
author = {Achanta, Radhakrishna and Susstrunk, Sabine},
title = {Superpixels and Polygons Using Simple Non-Iterative Clustering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
POSEidon: Face-From-Depth for Driver Pose Estimation-
[pdf]
[poster]
[bibtex]@InProceedings{Borghi_2017_CVPR,
author = {Borghi, Guido and Venturelli, Marco and Vezzani, Roberto and Cucchiara, Rita},
title = {POSEidon: Face-From-Depth for Driver Pose Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Optical Flow in Mostly Rigid Scenes-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Wulff_2017_CVPR,
author = {Wulff, Jonas and Sevilla-Lara, Laura and Black, Michael J.},
title = {Optical Flow in Mostly Rigid Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network-
[pdf]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Ledig_2017_CVPR,
author = {Ledig, Christian and Theis, Lucas and Huszar, Ferenc and Caballero, Jose and Cunningham, Andrew and Acosta, Alejandro and Aitken, Andrew and Tejani, Alykhan and Totz, Johannes and Wang, Zehan and Shi, Wenzhe},
title = {Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
ROAM: A Rich Object Appearance Model With Application to Rotoscoping-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Miksik_2017_CVPR,
author = {Miksik, Ondrej and Perez-Rua, Juan-Manuel and Torr, Philip H. S. and Perez, Patrick},
title = {ROAM: A Rich Object Appearance Model With Application to Rotoscoping},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Densely Connected Convolutional Networks-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Huang_2017_CVPR,
author = {Huang, Gao and Liu, Zhuang and van der Maaten, Laurens and Weinberger, Kilian Q.},
title = {Densely Connected Convolutional Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Multi-Level Attention Networks for Visual Question Answering-
[pdf]
[bibtex]@InProceedings{Yu_2017_CVPR,
author = {Yu, Dongfei and Fu, Jianlong and Mei, Tao and Rui, Yong},
title = {Multi-Level Attention Networks for Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Spatial-Semantic Image Search by Visual Feature Synthesis-
[pdf]
[video]
[bibtex]@InProceedings{Mai_2017_CVPR,
author = {Mai, Long and Jin, Hailin and Lin, Zhe and Fang, Chen and Brandt, Jonathan and Liu, Feng},
title = {Spatial-Semantic Image Search by Visual Feature Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Temporal Residual Networks for Dynamic Scene Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Feichtenhofer_2017_CVPR,
author = {Feichtenhofer, Christoph and Pinz, Axel and Wildes, Richard P.},
title = {Temporal Residual Networks for Dynamic Scene Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Radiometric Calibration for Internet Photo Collections-
[pdf]
[poster]
[video]
[bibtex]@InProceedings{Mo_2017_CVPR,
author = {Mo, Zhipeng and Shi, Boxin and Yeung, Sai-Kit and Matsushita, Yasuyuki},
title = {Radiometric Calibration for Internet Photo Collections},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Zhou_2017_CVPR,
author = {Zhou, Zhen and Huang, Yan and Wang, Wei and Wang, Liang and Tan, Tieniu},
title = {See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Procedural Generation of Videos to Train Deep Action Recognition Networks-
[pdf]
[supp]
[arXiv]
[poster]
[bibtex]@InProceedings{Souza_2017_CVPR,
author = {Roberto de Souza, Cesar and Gaidon, Adrien and Cabon, Yohann and Manuel Lopez, Antonio},
title = {Procedural Generation of Videos to Train Deep Action Recognition Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Spatiotemporal Multiplier Networks for Video Action Recognition-
[pdf]
[bibtex]@InProceedings{Feichtenhofer_2017_CVPR,
author = {Feichtenhofer, Christoph and Pinz, Axel and Wildes, Richard P.},
title = {Spatiotemporal Multiplier Networks for Video Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Real-Time Video Super-Resolution With Spatio-Temporal Networks and Motion Compensation-
[pdf]
[arXiv]
[poster]
[bibtex]@InProceedings{Caballero_2017_CVPR,
author = {Caballero, Jose and Ledig, Christian and Aitken, Andrew and Acosta, Alejandro and Totz, Johannes and Wang, Zehan and Shi, Wenzhe},
title = {Real-Time Video Super-Resolution With Spatio-Temporal Networks and Motion Compensation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sharghi_2017_CVPR,
author = {Sharghi, Aidean and Laurel, Jacob S. and Gong, Boqing},
title = {Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
A New Rank Constraint on Multi-View Fundamental Matrices, and Its Application to Camera Location Recovery-
[pdf]
[supp]
[arXiv]
[poster]
[video]
[bibtex]@InProceedings{Sengupta_2017_CVPR,
author = {Sengupta, Soumyadip and Amir, Tal and Galun, Meirav and Goldstein, Tom and Jacobs, David W. and Singer, Amit and Basri, Ronen},
title = {A New Rank Constraint o