CVPR 2018 Open Access Repository

Papers

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Squeeze-and-Excitation Networks: Jie Hu,

Li Shen,

Gang Sun; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Hu_2018_CVPR,
author = {Hu, Jie and Shen, Li and Sun, Gang},
title = {Squeeze-and-Excitation Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects: Md Amirul Islam,

Mahmoud Kalash,

Neil D. B. Bruce; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Islam_2018_CVPR,
author = {Islam, Md Amirul and Kalash, Mahmoud and Bruce, Neil D. B.},
title = {Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Context Encoding for Semantic Segmentation: Hang Zhang,

Kristin Dana,

Jianping Shi,

Zhongyue Zhang,

Xiaogang Wang,

Ambrish Tyagi,

Amit Agrawal; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Hang and Dana, Kristin and Shi, Jianping and Zhang, Zhongyue and Wang, Xiaogang and Tyagi, Ambrish and Agrawal, Amit},
title = {Context Encoding for Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Creating Capsule Wardrobes From Fashion Images: Wei-Lin Hsiao,

Kristen Grauman; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Hsiao_2018_CVPR,
author = {Hsiao, Wei-Lin and Grauman, Kristen},
title = {Creating Capsule Wardrobes From Fashion Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification: Li Niu,

Ashok Veeraraghavan,

Ashutosh Sabharwal; [pdf] [video]
[bibtex]
@InProceedings{Niu_2018_CVPR,
author = {Niu, Li and Veeraraghavan, Ashok and Sabharwal, Ashutosh},
title = {Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models: Jiuxiang Gu,

Jianfei Cai,

Shafiq R. Joty,

Li Niu,

Gang Wang; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Gu_2018_CVPR,
author = {Gu, Jiuxiang and Cai, Jianfei and Joty, Shafiq R. and Niu, Li and Wang, Gang},
title = {Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning: Jingwen Wang,

Wenhao Jiang,

Lin Ma,

Wei Liu,

Yong Xu; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Jingwen and Jiang, Wenhao and Ma, Lin and Liu, Wei and Xu, Yong},
title = {Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
InLoc: Indoor Visual Localization With Dense Matching and View Synthesis: Hajime Taira,

Masatoshi Okutomi,

Torsten Sattler,

Mircea Cimpoi,

Marc Pollefeys,

Josef Sivic,

Tomas Pajdla,

Akihiko Torii; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Taira_2018_CVPR,
author = {Taira, Hajime and Okutomi, Masatoshi and Sattler, Torsten and Cimpoi, Mircea and Pollefeys, Marc and Sivic, Josef and Pajdla, Tomas and Torii, Akihiko},
title = {InLoc: Indoor Visual Localization With Dense Matching and View Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Towards High Performance Video Object Detection: Xizhou Zhu,

Jifeng Dai,

Lu Yuan,

Yichen Wei; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Zhu_2018_CVPR,
author = {Zhu, Xizhou and Dai, Jifeng and Yuan, Lu and Wei, Yichen},
title = {Towards High Performance Video Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Neural Baby Talk: Jiasen Lu,

Jianwei Yang,

Dhruv Batra,

Devi Parikh; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Lu_2018_CVPR,
author = {Lu, Jiasen and Yang, Jianwei and Batra, Dhruv and Parikh, Devi},
title = {Neural Baby Talk},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Few-Shot Image Recognition by Predicting Parameters From Activations: Siyuan Qiao,

Chenxi Liu,

Wei Shen,

Alan L. Yuille; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Qiao_2018_CVPR,
author = {Qiao, Siyuan and Liu, Chenxi and Shen, Wei and Yuille, Alan L.},
title = {Few-Shot Image Recognition by Predicting Parameters From Activations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Iterative Visual Reasoning Beyond Convolutions: Xinlei Chen,

Li-Jia Li,

Li Fei-Fei,

Abhinav Gupta; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Chen_2018_CVPR,
author = {Chen, Xinlei and Li, Li-Jia and Fei-Fei, Li and Gupta, Abhinav},
title = {Iterative Visual Reasoning Beyond Convolutions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Visual Question Reasoning on General Dependency Tree: Qingxing Cao,

Xiaodan Liang,

Bailing Li,

Guanbin Li,

Liang Lin; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Cao_2018_CVPR,
author = {Cao, Qingxing and Liang, Xiaodan and Li, Bailing and Li, Guanbin and Lin, Liang},
title = {Visual Question Reasoning on General Dependency Tree},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization: Sixing Hu,

Mengdan Feng,

Rang M. H. Nguyen,

Gim Hee Lee; [pdf] [video]
[bibtex]
@InProceedings{Hu_2018_CVPR,
author = {Hu, Sixing and Feng, Mengdan and Nguyen, Rang M. H. and Lee, Gim Hee},
title = {CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation: Yunchao Wei,

Huaxin Xiao,

Honghui Shi,

Zequn Jie,

Jiashi Feng,

Thomas S. Huang; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wei_2018_CVPR,
author = {Wei, Yunchao and Xiao, Huaxin and Shi, Honghui and Jie, Zequn and Feng, Jiashi and Huang, Thomas S.},
title = {Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Low-Shot Learning From Imaginary Data: Yu-Xiong Wang,

Ross Girshick,

Martial Hebert,

Bharath Hariharan; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Yu-Xiong and Girshick, Ross and Hebert, Martial and Hariharan, Bharath},
title = {Low-Shot Learning From Imaginary Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DoubleFusion: Real-Time Capture of Human Performances With Inner Body Shapes From a Single Depth Sensor: Tao Yu,

Zerong Zheng,

Kaiwen Guo,

Jianhui Zhao,

Qionghai Dai,

Hao Li,

Gerard Pons-Moll,

Yebin Liu; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Yu_2018_CVPR,
author = {Yu, Tao and Zheng, Zerong and Guo, Kaiwen and Zhao, Jianhui and Dai, Qionghai and Li, Hao and Pons-Moll, Gerard and Liu, Yebin},
title = {DoubleFusion: Real-Time Capture of Human Performances With Inner Body Shapes From a Single Depth Sensor},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DensePose: Dense Human Pose Estimation in the Wild: Rıza Alp Güler,

Natalia Neverova,

Iasonas Kokkinos; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Güler_2018_CVPR,
author = {Güler, Rıza Alp and Neverova, Natalia and Kokkinos, Iasonas},
title = {DensePose: Dense Human Pose Estimation in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Ordinal Depth Supervision for 3D Human Pose Estimation: Georgios Pavlakos,

Xiaowei Zhou,

Kostas Daniilidis; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Pavlakos_2018_CVPR,
author = {Pavlakos, Georgios and Zhou, Xiaowei and Daniilidis, Kostas},
title = {Ordinal Depth Supervision for 3D Human Pose Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Consensus Maximization for Semantic Region Correspondences: Pablo Speciale,

Danda P. Paudel,

Martin R. Oswald,

Hayko Riemenschneider,

Luc Van Gool,

Marc Pollefeys; [pdf] [video]
[bibtex]
@InProceedings{Speciale_2018_CVPR,
author = {Speciale, Pablo and Paudel, Danda P. and Oswald, Martin R. and Riemenschneider, Hayko and Van Gool, Luc and Pollefeys, Marc},
title = {Consensus Maximization for Semantic Region Correspondences},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Robust Hough Transform Based 3D Reconstruction From Circular Light Fields: Alessandro Vianello,

Jens Ackermann,

Maximilian Diebold,

Bernd Jähne; [pdf] [video]
[bibtex]
@InProceedings{Vianello_2018_CVPR,
author = {Vianello, Alessandro and Ackermann, Jens and Diebold, Maximilian and Jähne, Bernd},
title = {Robust Hough Transform Based 3D Reconstruction From Circular Light Fields},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Alive Caricature From 2D to 3D: Qianyi Wu,

Juyong Zhang,

Yu-Kun Lai,

Jianmin Zheng,

Jianfei Cai; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wu_2018_CVPR,
author = {Wu, Qianyi and Zhang, Juyong and Lai, Yu-Kun and Zheng, Jianmin and Cai, Jianfei},
title = {Alive Caricature From 2D to 3D},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Nonlinear 3D Face Morphable Model: Luan Tran,

Xiaoming Liu; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Tran_2018_CVPR,
author = {Tran, Luan and Liu, Xiaoming},
title = {Nonlinear 3D Face Morphable Model},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Through-Wall Human Pose Estimation Using Radio Signals: Mingmin Zhao,

Tianhong Li,

Mohammad Abu Alsheikh,

Yonglong Tian,

Hang Zhao,

Antonio Torralba,

Dina Katabi; [pdf] [video]
[bibtex]
@InProceedings{Zhao_2018_CVPR,
author = {Zhao, Mingmin and Li, Tianhong and Abu Alsheikh, Mohammad and Tian, Yonglong and Zhao, Hang and Torralba, Antonio and Katabi, Dina},
title = {Through-Wall Human Pose Estimation Using Radio Signals},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets: De-An Huang,

Vignesh Ramanathan,

Dhruv Mahajan,

Lorenzo Torresani,

Manohar Paluri,

Li Fei-Fei,

Juan Carlos Niebles; [pdf] [video]
[bibtex]
@InProceedings{Huang_2018_CVPR,
author = {Huang, De-An and Ramanathan, Vignesh and Mahajan, Dhruv and Torresani, Lorenzo and Paluri, Manohar and Fei-Fei, Li and Niebles, Juan Carlos},
title = {What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fast Video Object Segmentation by Reference-Guided Mask Propagation: Seoung Wug Oh,

Joon-Young Lee,

Kalyan Sunkavalli,

Seon Joo Kim; [pdf] [video]
[bibtex]
@InProceedings{Oh_2018_CVPR,
author = {Oh, Seoung Wug and Lee, Joon-Young and Sunkavalli, Kalyan and Kim, Seon Joo},
title = {Fast Video Object Segmentation by Reference-Guided Mask Propagation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning: Alexander Richard,

Hilde Kuehne,

Ahsan Iqbal,

Juergen Gall; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Richard_2018_CVPR,
author = {Richard, Alexander and Kuehne, Hilde and Iqbal, Ahsan and Gall, Juergen},
title = {NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Actor and Observer: Joint Modeling of First and Third-Person Videos: Gunnar A. Sigurdsson,

Abhinav Gupta,

Cordelia Schmid,

Ali Farhadi,

Karteek Alahari; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Sigurdsson_2018_CVPR,
author = {Sigurdsson, Gunnar A. and Gupta, Abhinav and Schmid, Cordelia and Farhadi, Ali and Alahari, Karteek},
title = {Actor and Observer: Joint Modeling of First and Third-Person Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization: Bin Zhao,

Xuelong Li,

Xiaoqiang Lu; [pdf] [video]
[bibtex]
@InProceedings{Zhao_2018_CVPR,
author = {Zhao, Bin and Li, Xuelong and Lu, Xiaoqiang},
title = {HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fast and Accurate Online Video Object Segmentation via Tracking Parts: Jingchun Cheng,

Yi-Hsuan Tsai,

Wei-Chih Hung,

Shengjin Wang,

Ming-Hsuan Yang; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Cheng_2018_CVPR,
author = {Cheng, Jingchun and Tsai, Yi-Hsuan and Hung, Wei-Chih and Wang, Shengjin and Yang, Ming-Hsuan},
title = {Fast and Accurate Online Video Object Segmentation via Tracking Parts},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Now You Shake Me: Towards Automatic 4D Cinema: Yuhao Zhou,

Makarand Tapaswi,

Sanja Fidler; [pdf] [supp] [video]
[bibtex]
@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Yuhao and Tapaswi, Makarand and Fidler, Sanja},
title = {Now You Shake Me: Towards Automatic 4D Cinema},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Viewpoint-Aware Video Summarization: Atsushi Kanehira,

Luc Van Gool,

Yoshitaka Ushiku,

Tatsuya Harada; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Kanehira_2018_CVPR,
author = {Kanehira, Atsushi and Van Gool, Luc and Ushiku, Yoshitaka and Harada, Tatsuya},
title = {Viewpoint-Aware Video Summarization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter: Yuki Fujimura,

Masaaki Iiyama,

Atsushi Hashimoto,

Michihiko Minoh; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Fujimura_2018_CVPR,
author = {Fujimura, Yuki and Iiyama, Masaaki and Hashimoto, Atsushi and Minoh, Michihiko},
title = {Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Direction-Aware Spatial Context Features for Shadow Detection: Xiaowei Hu,

Lei Zhu,

Chi-Wing Fu,

Jing Qin,

Pheng-Ann Heng; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Hu_2018_CVPR,
author = {Hu, Xiaowei and Zhu, Lei and Fu, Chi-Wing and Qin, Jing and Heng, Pheng-Ann},
title = {Direction-Aware Spatial Context Features for Shadow Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Discriminative Learning of Latent Features for Zero-Shot Recognition: Yan Li,

Junge Zhang,

Jianguo Zhang,

Kaiqi Huang; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Li_2018_CVPR,
author = {Li, Yan and Zhang, Junge and Zhang, Jianguo and Huang, Kaiqi},
title = {Discriminative Learning of Latent Features for Zero-Shot Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Adapt Structured Output Space for Semantic Segmentation: Yi-Hsuan Tsai,

Wei-Chih Hung,

Samuel Schulter,

Kihyuk Sohn,

Ming-Hsuan Yang,

Manmohan Chandraker; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Tsai_2018_CVPR,
author = {Tsai, Yi-Hsuan and Hung, Wei-Chih and Schulter, Samuel and Sohn, Kihyuk and Yang, Ming-Hsuan and Chandraker, Manmohan},
title = {Learning to Adapt Structured Output Space for Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics: Alex Kendall,

Yarin Gal,

Roberto Cipolla; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Kendall_2018_CVPR,
author = {Kendall, Alex and Gal, Yarin and Cipolla, Roberto},
title = {Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Jointly Localizing and Describing Events for Dense Video Captioning: Yehao Li,

Ting Yao,

Yingwei Pan,

Hongyang Chao,

Tao Mei; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Li_2018_CVPR,
author = {Li, Yehao and Yao, Ting and Pan, Yingwei and Chao, Hongyang and Mei, Tao},
title = {Jointly Localizing and Describing Events for Dense Video Captioning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Going From Image to Video Saliency: Augmenting Image Salience With Dynamic Attentional Push: Siavash Gorji,

James J. Clark; [pdf] [video]
[bibtex]
@InProceedings{Gorji_2018_CVPR,
author = {Gorji, Siavash and Clark, James J.},
title = {Going From Image to Video Saliency: Augmenting Image Salience With Dynamic Attentional Push},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
M3: Multimodal Memory Modelling for Video Captioning: Junbo Wang,

Wei Wang,

Yan Huang,

Liang Wang,

Tieniu Tan; [pdf] [video]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Junbo and Wang, Wei and Huang, Yan and Wang, Liang and Tan, Tieniu},
title = {M3: Multimodal Memory Modelling for Video Captioning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Emotional Attention: A Study of Image Sentiment and Visual Attention: Shaojing Fan,

Zhiqi Shen,

Ming Jiang,

Bryan L. Koenig,

Juan Xu,

Mohan S. Kankanhalli,

Qi Zhao; [pdf] [supp] [video]
[bibtex]
@InProceedings{Fan_2018_CVPR,
author = {Fan, Shaojing and Shen, Zhiqi and Jiang, Ming and Koenig, Bryan L. and Xu, Juan and Kankanhalli, Mohan S. and Zhao, Qi},
title = {Emotional Attention: A Study of Image Sentiment and Visual Attention},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Low Power, High Throughput, Fully Event-Based Stereo System: Alexander Andreopoulos,

Hirak J. Kashyap,

Tapan K. Nayak,

Arnon Amir,

Myron D. Flickner; [pdf] [supp] [video]
[bibtex]
@InProceedings{Andreopoulos_2018_CVPR,
author = {Andreopoulos, Alexander and Kashyap, Hirak J. and Nayak, Tapan K. and Amir, Arnon and Flickner, Myron D.},
title = {A Low Power, High Throughput, Fully Event-Based Stereo System},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
VITON: An Image-Based Virtual Try-On Network: Xintong Han,

Zuxuan Wu,

Zhe Wu,

Ruichi Yu,

Larry S. Davis; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Han_2018_CVPR,
author = {Han, Xintong and Wu, Zuxuan and Wu, Zhe and Yu, Ruichi and Davis, Larry S.},
title = {VITON: An Image-Based Virtual Try-On Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation: Pengyuan Lyu,

Cong Yao,

Wenhao Wu,

Shuicheng Yan,

Xiang Bai; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Lyu_2018_CVPR,
author = {Lyu, Pengyuan and Yao, Cong and Wu, Wenhao and Yan, Shuicheng and Bai, Xiang},
title = {Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Content GAN for Few-Shot Font Style Transfer: Samaneh Azadi,

Matthew Fisher,

Vladimir G. Kim,

Zhaowen Wang,

Eli Shechtman,

Trevor Darrell; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Azadi_2018_CVPR,
author = {Azadi, Samaneh and Fisher, Matthew and Kim, Vladimir G. and Wang, Zhaowen and Shechtman, Eli and Darrell, Trevor},
title = {Multi-Content GAN for Few-Shot Font Style Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Audio to Body Dynamics: Eli Shlizerman,

Lucio Dery,

Hayden Schoen,

Ira Kemelmacher-Shlizerman; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Shlizerman_2018_CVPR,
author = {Shlizerman, Eli and Dery, Lucio and Schoen, Hayden and Kemelmacher-Shlizerman, Ira},
title = {Audio to Body Dynamics},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Weakly Supervised Coupled Networks for Visual Sentiment Analysis: Jufeng Yang,

Dongyu She,

Yu-Kun Lai,

Paul L. Rosin,

Ming-Hsuan Yang; [pdf] [video]
[bibtex]
@InProceedings{Yang_2018_CVPR,
author = {Yang, Jufeng and She, Dongyu and Lai, Yu-Kun and Rosin, Paul L. and Yang, Ming-Hsuan},
title = {Weakly Supervised Coupled Networks for Visual Sentiment Analysis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Future Person Localization in First-Person Videos: Takuma Yagi,

Karttikeya Mangalam,

Ryo Yonetani,

Yoichi Sato; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Yagi_2018_CVPR,
author = {Yagi, Takuma and Mangalam, Karttikeya and Yonetani, Ryo and Sato, Yoichi},
title = {Future Person Localization in First-Person Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Preserving Semantic Relations for Zero-Shot Learning: Yashas Annadani,

Soma Biswas; [pdf] [arXiv]
[bibtex]
@InProceedings{Annadani_2018_CVPR,
author = {Annadani, Yashas and Biswas, Soma},
title = {Preserving Semantic Relations for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Show Me a Story: Towards Coherent Neural Story Illustration: Hareesh Ravi,

Lezi Wang,

Carlos Muniz,

Leonid Sigal,

Dimitris Metaxas,

Mubbasir Kapadia; [pdf]
[bibtex]
@InProceedings{Ravi_2018_CVPR,
author = {Ravi, Hareesh and Wang, Lezi and Muniz, Carlos and Sigal, Leonid and Metaxas, Dimitris and Kapadia, Mubbasir},
title = {Show Me a Story: Towards Coherent Neural Story Illustration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Reconstruction Network for Video Captioning: Bairui Wang,

Lin Ma,

Wei Zhang,

Wei Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Bairui and Ma, Lin and Zhang, Wei and Liu, Wei},
title = {Reconstruction Network for Video Captioning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fast Spectral Ranking for Similarity Search: Ahmet Iscen,

Yannis Avrithis,

Giorgos Tolias,

Teddy Furon,

Ondřej Chum; [pdf] [arXiv]
[bibtex]
@InProceedings{Iscen_2018_CVPR,
author = {Iscen, Ahmet and Avrithis, Yannis and Tolias, Giorgos and Furon, Teddy and Chum, Ondřej},
title = {Fast Spectral Ranking for Similarity Search},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Mining on Manifolds: Metric Learning Without Labels: Ahmet Iscen,

Giorgos Tolias,

Yannis Avrithis,

Ondřej Chum; [pdf] [arXiv]
[bibtex]
@InProceedings{Iscen_2018_CVPR,
author = {Iscen, Ahmet and Tolias, Giorgos and Avrithis, Yannis and Chum, Ondřej},
title = {Mining on Manifolds: Metric Learning Without Labels},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PIXOR: Real-Time 3D Object Detection From Point Clouds: Bin Yang,

Wenjie Luo,

Raquel Urtasun; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2018_CVPR,
author = {Yang, Bin and Luo, Wenjie and Urtasun, Raquel},
title = {PIXOR: Real-Time 3D Object Detection From Point Clouds},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank: Xialei Liu,

Joost van de Weijer,

Andrew D. Bagdanov; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2018_CVPR,
author = {Liu, Xialei and van de Weijer, Joost and Bagdanov, Andrew D.},
title = {Leveraging Unlabeled Data for Crowd Counting by Learning to Rank},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Zero-Shot Kernel Learning: Hongguang Zhang,

Piotr Koniusz; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Hongguang and Koniusz, Piotr},
title = {Zero-Shot Kernel Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Differential Attention for Visual Question Answering: Badri Patro,

Vinay P. Namboodiri; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Patro_2018_CVPR,
author = {Patro, Badri and Namboodiri, Vinay P.},
title = {Differential Attention for Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning From Noisy Web Data With Category-Level Supervision: Li Niu,

Qingtao Tang,

Ashok Veeraraghavan,

Ashutosh Sabharwal; [pdf] [arXiv]
[bibtex]
@InProceedings{Niu_2018_CVPR,
author = {Niu, Li and Tang, Qingtao and Veeraraghavan, Ashok and Sabharwal, Ashutosh},
title = {Learning From Noisy Web Data With Category-Level Supervision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning: Vasili Ramanishka,

Yi-Ting Chen,

Teruhisa Misu,

Kate Saenko; [pdf] [arXiv]
[bibtex]
@InProceedings{Ramanishka_2018_CVPR,
author = {Ramanishka, Vasili and Chen, Yi-Ting and Misu, Teruhisa and Saenko, Kate},
title = {Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Attribute Representations With Localization for Flexible Fashion Search: Kenan E. Ak,

Ashraf A. Kassim,

Joo Hwee Lim,

Jo Yew Tham; [pdf] [supp]
[bibtex]
@InProceedings{Ak_2018_CVPR,
author = {Ak, Kenan E. and Kassim, Ashraf A. and Lim, Joo Hwee and Tham, Jo Yew},
title = {Learning Attribute Representations With Localization for Flexible Fashion Search},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Bidirectional Retrieval Made Simple: Jônatas Wehrmann,

Rodrigo C. Barros; [pdf]
[bibtex]
@InProceedings{Wehrmann_2018_CVPR,
author = {Wehrmann, Jônatas and Barros, Rodrigo C.},
title = {Bidirectional Retrieval Made Simple},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances: Kai Liu,

Hua Wang,

Feiping Nie,

Hao Zhang; [pdf]
[bibtex]
@InProceedings{Liu_2018_CVPR,
author = {Liu, Kai and Wang, Hua and Nie, Feiping and Zhang, Hao},
title = {Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Visual Knowledge Memory Networks for Visual Question Answering: Zhou Su,

Chen Zhu,

Yinpeng Dong,

Dongqi Cai,

Yurong Chen,

Jianguo Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Su_2018_CVPR,
author = {Su, Zhou and Zhu, Chen and Dong, Yinpeng and Cai, Dongqi and Chen, Yurong and Li, Jianguo},
title = {Learning Visual Knowledge Memory Networks for Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Visual Grounding via Accumulated Attention: Chaorui Deng,

Qi Wu,

Qingyao Wu,

Fuyuan Hu,

Fan Lyu,

Mingkui Tan; [pdf]
[bibtex]
@InProceedings{Deng_2018_CVPR,
author = {Deng, Chaorui and Wu, Qi and Wu, Qingyao and Hu, Fuyuan and Lyu, Fan and Tan, Mingkui},
title = {Visual Grounding via Accumulated Attention},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy: Guanglu Song,

Yu Liu,

Ming Jiang,

Yujie Wang,

Junjie Yan,

Biao Leng; [pdf] [arXiv]
[bibtex]
@InProceedings{Song_2018_CVPR,
author = {Song, Guanglu and Liu, Yu and Jiang, Ming and Wang, Yujie and Yan, Junjie and Leng, Biao},
title = {Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning: Arun Mallya,

Svetlana Lazebnik; [pdf] [arXiv]
[bibtex]
@InProceedings{Mallya_2018_CVPR,
author = {Mallya, Arun and Lazebnik, Svetlana},
title = {PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Repulsion Loss: Detecting Pedestrians in a Crowd: Xinlong Wang,

Tete Xiao,

Yuning Jiang,

Shuai Shao,

Jian Sun,

Chunhua Shen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Xinlong and Xiao, Tete and Jiang, Yuning and Shao, Shuai and Sun, Jian and Shen, Chunhua},
title = {Repulsion Loss: Detecting Pedestrians in a Crowd},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Neural Sign Language Translation: Necati Cihan Camgoz,

Simon Hadfield,

Oscar Koller,

Hermann Ney,

Richard Bowden; [pdf]
[bibtex]
@InProceedings{Camgoz_2018_CVPR,
author = {Camgoz, Necati Cihan and Hadfield, Simon and Koller, Oscar and Ney, Hermann and Bowden, Richard},
title = {Neural Sign Language Translation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Non-Local Neural Networks: Xiaolong Wang,

Ross Girshick,

Abhinav Gupta,

Kaiming He; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Xiaolong and Girshick, Ross and Gupta, Abhinav and He, Kaiming},
title = {Non-Local Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers: Lorenzo Baraldi,

Matthijs Douze,

Rita Cucchiara,

Hervé Jégou; [pdf]
[bibtex]
@InProceedings{Baraldi_2018_CVPR,
author = {Baraldi, Lorenzo and Douze, Matthijs and Cucchiara, Rita and Jégou, Hervé},
title = {LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Optimizing Video Object Detection via a Scale-Time Lattice: Kai Chen,

Jiaqi Wang,

Shuo Yang,

Xingcheng Zhang,

Yuanjun Xiong,

Chen Change Loy,

Dahua Lin; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2018_CVPR,
author = {Chen, Kai and Wang, Jiaqi and Yang, Shuo and Zhang, Xingcheng and Xiong, Yuanjun and Loy, Chen Change and Lin, Dahua},
title = {Optimizing Video Object Detection via a Scale-Time Lattice},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Compressible 360° Video Isomers: Yu-Chuan Su,

Kristen Grauman; [pdf] [supp]
[bibtex]
@InProceedings{Su_2018_CVPR,
author = {Su, Yu-Chuan and Grauman, Kristen},
title = {Learning Compressible 360° Video Isomers},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification: Xiang Long,

Chuang Gan,

Gerard de Melo,

Jiajun Wu,

Xiao Liu,

Shilei Wen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Long_2018_CVPR,
author = {Long, Xiang and Gan, Chuang and de Melo, Gerard and Wu, Jiajun and Liu, Xiao and Wen, Shilei},
title = {Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
What Have We Learned From Deep Representations for Action Recognition?: Christoph Feichtenhofer,

Axel Pinz,

Richard P. Wildes,

Andrew Zisserman; [pdf] [arXiv]
[bibtex]
@InProceedings{Feichtenhofer_2018_CVPR,
author = {Feichtenhofer, Christoph and Pinz, Axel and Wildes, Richard P. and Zisserman, Andrew},
title = {What Have We Learned From Deep Representations for Action Recognition?},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Controllable Video Generation With Sparse Trajectories: Zekun Hao,

Xun Huang,

Serge Belongie; [pdf]
[bibtex]
@InProceedings{Hao_2018_CVPR,
author = {Hao, Zekun and Huang, Xun and Belongie, Serge},
title = {Controllable Video Generation With Sparse Trajectories},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint: Serim Park,

Matthew Thorpe; [pdf]
[bibtex]
@InProceedings{Park_2018_CVPR,
author = {Park, Serim and Thorpe, Matthew},
title = {Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization: Frederick Tung,

Greg Mori; [pdf]
[bibtex]
@InProceedings{Tung_2018_CVPR,
author = {Tung, Frederick and Mori, Greg},
title = {CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Inference in Higher Order MRF-MAP Problems With Small and Large Cliques: Ishant Shanu,

Chetan Arora,

S.N. Maheshwari; [pdf]
[bibtex]
@InProceedings{Shanu_2018_CVPR,
author = {Shanu, Ishant and Arora, Chetan and Maheshwari, S.N.},
title = {Inference in Higher Order MRF-MAP Problems With Small and Large Cliques},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes: Yuhua Chen,

Wen Li,

Luc Van Gool; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2018_CVPR,
author = {Chen, Yuhua and Li, Wen and Van Gool, Luc},
title = {ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Eye In-Painting With Exemplar Generative Adversarial Networks: Brian Dolhansky,

Cristian Canton Ferrer; [pdf] [arXiv]
[bibtex]
@InProceedings{Dolhansky_2018_CVPR,
author = {Dolhansky, Brian and Ferrer, Cristian Canton},
title = {Eye In-Painting With Exemplar Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions: Dong-Qing Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Dong-Qing},
title = {ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Towards Effective Low-Bitwidth Convolutional Neural Networks: Bohan Zhuang,

Chunhua Shen,

Mingkui Tan,

Lingqiao Liu,

Ian Reid; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhuang_2018_CVPR,
author = {Zhuang, Bohan and Shen, Chunhua and Tan, Mingkui and Liu, Lingqiao and Reid, Ian},
title = {Towards Effective Low-Bitwidth Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks: Jason Kuen,

Xiangfei Kong,

Zhe Lin,

Gang Wang,

Jianxiong Yin,

Simon See,

Yap-Peng Tan; [pdf] [arXiv]
[bibtex]
@InProceedings{Kuen_2018_CVPR,
author = {Kuen, Jason and Kong, Xiangfei and Lin, Zhe and Wang, Gang and Yin, Jianxiong and See, Simon and Tan, Yap-Peng},
title = {Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Face Aging With Identity-Preserved Conditional Generative Adversarial Networks: Zongwei Wang,

Xu Tang,

Weixin Luo,

Shenghua Gao; [pdf]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Zongwei and Tang, Xu and Luo, Weixin and Gao, Shenghua},
title = {Face Aging With Identity-Preserved Conditional Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Cross-Dataset Person Re-Identification by Transfer Learning of Spatial-Temporal Patterns: Jianming Lv,

Weihang Chen,

Qing Li,

Can Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lv_2018_CVPR,
author = {Lv, Jianming and Chen, Weihang and Li, Qing and Yang, Can},
title = {Unsupervised Cross-Dataset Person Re-Identification by Transfer Learning of Spatial-Temporal Patterns},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Feature Quantization for Defending Against Distortion of Images: Zhun Sun,

Mete Ozay,

Yan Zhang,

Xing Liu,

Takayuki Okatani; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2018_CVPR,
author = {Sun, Zhun and Ozay, Mete and Zhang, Yan and Liu, Xing and Okatani, Takayuki},
title = {Feature Quantization for Defending Against Distortion of Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Tagging Like Humans: Diverse and Distinct Image Annotation: Baoyuan Wu,

Weidong Chen,

Peng Sun,

Wei Liu,

Bernard Ghanem,

Siwei Lyu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2018_CVPR,
author = {Wu, Baoyuan and Chen, Weidong and Sun, Peng and Liu, Wei and Ghanem, Bernard and Lyu, Siwei},
title = {Tagging Like Humans: Diverse and Distinct Image Annotation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation: Qingchao Chen,

Yang Liu,

Zhaowen Wang,

Ian Wassell,

Kevin Chetty; [pdf]
[bibtex]
@InProceedings{Chen_2018_CVPR,
author = {Chen, Qingchao and Liu, Yang and Wang, Zhaowen and Wassell, Ian and Chetty, Kevin},
title = {Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis: Seunghoon Hong,

Dingdong Yang,

Jongwook Choi,

Honglak Lee; [pdf] [arXiv]
[bibtex]
@InProceedings{Hong_2018_CVPR,
author = {Hong, Seunghoon and Yang, Dingdong and Choi, Jongwook and Lee, Honglak},
title = {Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present: Xinpeng Chen,

Lin Ma,

Wenhao Jiang,

Jian Yao,

Wei Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2018_CVPR,
author = {Chen, Xinpeng and Ma, Lin and Jiang, Wenhao and Yao, Jian and Liu, Wei},
title = {Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Domain Adaptation With Similarity Learning: Pedro O. Pinheiro; [pdf] [arXiv]
[bibtex]
@InProceedings{Pinheiro_2018_CVPR,
author = {Pinheiro, Pedro O.},
title = {Unsupervised Domain Adaptation With Similarity Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Deep Sketch Abstraction: Umar Riaz Muhammad,

Yongxin Yang,

Yi-Zhe Song,

Tao Xiang,

Timothy M. Hospedales; [pdf] [arXiv]
[bibtex]
@InProceedings{Muhammad_2018_CVPR,
author = {Muhammad, Umar Riaz and Yang, Yongxin and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M.},
title = {Learning Deep Sketch Abstraction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Matching Adversarial Networks: Gellért Máttyus,

Raquel Urtasun; [pdf] [arXiv]
[bibtex]
@InProceedings{Máttyus_2018_CVPR,
author = {Máttyus, Gellért and Urtasun, Raquel},
title = {Matching Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms: Mario Sznaier,

Octavia Camps; [pdf]
[bibtex]
@InProceedings{Sznaier_2018_CVPR,
author = {Sznaier, Mario and Camps, Octavia},
title = {SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Resource Aware Person Re-Identification Across Multiple Resolutions: Yan Wang,

Lequn Wang,

Yurong You,

Xu Zou,

Vincent Chen,

Serena Li,

Gao Huang,

Bharath Hariharan,

Kilian Q. Weinberger; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Yan and Wang, Lequn and You, Yurong and Zou, Xu and Chen, Vincent and Li, Serena and Huang, Gao and Hariharan, Bharath and Weinberger, Kilian Q.},
title = {Resource Aware Person Re-Identification Across Multiple Resolutions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning and Using the Arrow of Time: Donglai Wei,

Joseph J. Lim,

Andrew Zisserman,

William T. Freeman; [pdf]
[bibtex]
@InProceedings{Wei_2018_CVPR,
author = {Wei, Donglai and Lim, Joseph J. and Zisserman, Andrew and Freeman, William T.},
title = {Learning and Using the Arrow of Time},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Neural Style Transfer via Meta Networks: Falong Shen,

Shuicheng Yan,

Gang Zeng; [pdf]
[bibtex]
@InProceedings{Shen_2018_CVPR,
author = {Shen, Falong and Yan, Shuicheng and Zeng, Gang},
title = {Neural Style Transfer via Meta Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting: Mark Marsden,

Kevin McGuinness,

Suzanne Little,

Ciara E. Keogh,

Noel E. O'Connor; [pdf] [arXiv]
[bibtex]
@InProceedings{Marsden_2018_CVPR,
author = {Marsden, Mark and McGuinness, Kevin and Little, Suzanne and Keogh, Ciara E. and O'Connor, Noel E.},
title = {People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
HydraNets: Specialized Dynamic Architectures for Efficient Inference: Ravi Teja Mullapudi,

William R. Mark,

Noam Shazeer,

Kayvon Fatahalian; [pdf]
[bibtex]
@InProceedings{Mullapudi_2018_CVPR,
author = {Mullapudi, Ravi Teja and Mark, William R. and Shazeer, Noam and Fatahalian, Kayvon},
title = {HydraNets: Specialized Dynamic Architectures for Efficient Inference},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval: Peng Xu,

Yongye Huang,

Tongtong Yuan,

Kaiyue Pang,

Yi-Zhe Song,

Tao Xiang,

Timothy M. Hospedales,

Zhanyu Ma,

Jun Guo; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2018_CVPR,
author = {Xu, Peng and Huang, Yongye and Yuan, Tongtong and Pang, Kaiyue and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M. and Ma, Zhanyu and Guo, Jun},
title = {SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN: Paolo Russo,

Fabio M. Carlucci,

Tatiana Tommasi,

Barbara Caputo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Russo_2018_CVPR,
author = {Russo, Paolo and Carlucci, Fabio M. and Tommasi, Tatiana and Caputo, Barbara},
title = {From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning: José Lezama,

Qiang Qiu,

Pablo Musé,

Guillermo Sapiro; [pdf]
[bibtex]
@InProceedings{Lezama_2018_CVPR,
author = {Lezama, José and Qiu, Qiang and Musé, Pablo and Sapiro, Guillermo},
title = {OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Efficient Parametrization of Multi-Domain Deep Neural Networks: Sylvestre-Alvise Rebuffi,

Hakan Bilen,

Andrea Vedaldi; [pdf] [arXiv]
[bibtex]
@InProceedings{Rebuffi_2018_CVPR,
author = {Rebuffi, Sylvestre-Alvise and Bilen, Hakan and Vedaldi, Andrea},
title = {Efficient Parametrization of Multi-Domain Deep Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Density Clustering of Unconstrained Faces: Wei-An Lin,

Jun-Cheng Chen,

Carlos D. Castillo,

Rama Chellappa; [pdf] [supp]
[bibtex]
@InProceedings{Lin_2018_CVPR,
author = {Lin, Wei-An and Chen, Jun-Cheng and Castillo, Carlos D. and Chellappa, Rama},
title = {Deep Density Clustering of Unconstrained Faces},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Geometric Multi-Model Fitting With a Convex Relaxation Algorithm: Paul Amayo,

Pedro Piniés,

Lina M. Paz,

Paul Newman; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Amayo_2018_CVPR,
author = {Amayo, Paul and Piniés, Pedro and Paz, Lina M. and Newman, Paul},
title = {Geometric Multi-Model Fitting With a Convex Relaxation Algorithm},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems: Daiki Ikami,

Toshihiko Yamasaki,

Kiyoharu Aizawa; [pdf]
[bibtex]
@InProceedings{Ikami_2018_CVPR,
author = {Ikami, Daiki and Yamasaki, Toshihiko and Aizawa, Kiyoharu},
title = {Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Importance Weighted Adversarial Nets for Partial Domain Adaptation: Jing Zhang,

Zewei Ding,

Wanqing Li,

Philip Ogunbona; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Jing and Ding, Zewei and Li, Wanqing and Ogunbona, Philip},
title = {Importance Weighted Adversarial Nets for Partial Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Efficient Subpixel Refinement With Symbolic Linear Predictors: Vincent Lui,

Jonathon Geeves,

Winston Yii,

Tom Drummond; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lui_2018_CVPR,
author = {Lui, Vincent and Geeves, Jonathon and Yii, Winston and Drummond, Tom},
title = {Efficient Subpixel Refinement With Symbolic Linear Predictors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Scale-Recurrent Network for Deep Image Deblurring: Xin Tao,

Hongyun Gao,

Xiaoyong Shen,

Jue Wang,

Jiaya Jia; [pdf] [arXiv]
[bibtex]
@InProceedings{Tao_2018_CVPR,
author = {Tao, Xin and Gao, Hongyun and Shen, Xiaoyong and Wang, Jue and Jia, Jiaya},
title = {Scale-Recurrent Network for Deep Image Deblurring},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks: Orest Kupyn,

Volodymyr Budzan,

Mykola Mykhailych,

Dmytro Mishkin,

Jiří Matas; [pdf] [arXiv]
[bibtex]
@InProceedings{Kupyn_2018_CVPR,
author = {Kupyn, Orest and Budzan, Volodymyr and Mykhailych, Mykola and Mishkin, Dmytro and Matas, Jiří},
title = {DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping: Debang Li,

Huikai Wu,

Junge Zhang,

Kaiqi Huang; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2018_CVPR,
author = {Li, Debang and Wu, Huikai and Zhang, Junge and Huang, Kaiqi},
title = {A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Single Image Dehazing via Conditional Generative Adversarial Network: Runde Li,

Jinshan Pan,

Zechao Li,

Jinhui Tang; [pdf] [supp]
[bibtex]
@InProceedings{Li_2018_CVPR,
author = {Li, Runde and Pan, Jinshan and Li, Zechao and Tang, Jinhui},
title = {Single Image Dehazing via Conditional Generative Adversarial Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
On the Duality Between Retinex and Image Dehazing: Adrian Galdran,

Aitor Alvarez-Gila,

Alessandro Bria,

Javier Vazquez-Corral,

Marcelo Bertalmío; [pdf] [arXiv]
[bibtex]
@InProceedings{Galdran_2018_CVPR,
author = {Galdran, Adrian and Alvarez-Gila, Aitor and Bria, Alessandro and Vazquez-Corral, Javier and Bertalmío, Marcelo},
title = {On the Duality Between Retinex and Image Dehazing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Arbitrary Style Transfer With Deep Feature Reshuffle: Shuyang Gu,

Congliang Chen,

Jing Liao,

Lu Yuan; [pdf] [arXiv]
[bibtex]
@InProceedings{Gu_2018_CVPR,
author = {Gu, Shuyang and Chen, Congliang and Liao, Jing and Yuan, Lu},
title = {Arbitrary Style Transfer With Deep Feature Reshuffle},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration: Xinyuan Zhang,

Xin Yuan,

Lawrence Carin; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Xinyuan and Yuan, Xin and Carin, Lawrence},
title = {Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration: Lu Sheng,

Ziyi Lin,

Jing Shao,

Xiaogang Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Sheng_2018_CVPR,
author = {Sheng, Lu and Lin, Ziyi and Shao, Jing and Wang, Xiaogang},
title = {Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space: Tatsuya Yokota,

Burak Erem,

Seyhmus Guler,

Simon K. Warfield,

Hidekata Hontani; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yokota_2018_CVPR,
author = {Yokota, Tatsuya and Erem, Burak and Guler, Seyhmus and Warfield, Simon K. and Hontani, Hidekata},
title = {Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Semantic Face Deblurring: Ziyi Shen,

Wei-Sheng Lai,

Tingfa Xu,

Jan Kautz,

Ming-Hsuan Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shen_2018_CVPR,
author = {Shen, Ziyi and Lai, Wei-Sheng and Xu, Tingfa and Kautz, Jan and Yang, Ming-Hsuan},
title = {Deep Semantic Face Deblurring},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning: Yueqi Duan,

Ziwei Wang,

Jiwen Lu,

Xudong Lin,

Jie Zhou; [pdf]
[bibtex]
@InProceedings{Duan_2018_CVPR,
author = {Duan, Yueqi and Wang, Ziwei and Lu, Jiwen and Lin, Xudong and Zhou, Jie},
title = {GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation: Qihang Yu,

Lingxi Xie,

Yan Wang,

Yuyin Zhou,

Elliot K. Fishman,

Alan L. Yuille; [pdf] [arXiv]
[bibtex]
@InProceedings{Yu_2018_CVPR,
author = {Yu, Qihang and Xie, Lingxi and Wang, Yan and Zhou, Yuyin and Fishman, Elliot K. and Yuille, Alan L.},
title = {Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Thoracic Disease Identification and Localization With Limited Supervision: Zhe Li,

Chong Wang,

Mei Han,

Yuan Xue,

Wei Wei,

Li-Jia Li,

Li Fei-Fei; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2018_CVPR,
author = {Li, Zhe and Wang, Chong and Han, Mei and Xue, Yuan and Wei, Wei and Li, Li-Jia and Fei-Fei, Li},
title = {Thoracic Disease Identification and Localization With Limited Supervision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation: Xiaowei Xu,

Qing Lu,

Lin Yang,

Sharon Hu,

Danny Chen,

Yu Hu,

Yiyu Shi; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2018_CVPR,
author = {Xu, Xiaowei and Lu, Qing and Yang, Lin and Hu, Sharon and Chen, Danny and Hu, Yu and Shi, Yiyu},
title = {Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Visual Feature Attribution Using Wasserstein GANs: Christian F. Baumgartner,

Lisa M. Koch,

Kerem Can Tezcan,

Jia Xi Ang,

Ender Konukoglu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Baumgartner_2018_CVPR,
author = {Baumgartner, Christian F. and Koch, Lisa M. and Tezcan, Kerem Can and Ang, Jia Xi and Konukoglu, Ender},
title = {Visual Feature Attribution Using Wasserstein GANs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies: Hanbyul Joo,

Tomas Simon,

Yaser Sheikh; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Joo_2018_CVPR,
author = {Joo, Hanbyul and Simon, Tomas and Sheikh, Yaser},
title = {Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation: Seungryul Baek,

Kwang In Kim,

Tae-Kyun Kim; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Baek_2018_CVPR,
author = {Baek, Seungryul and Kim, Kwang In and Kim, Tae-Kyun},
title = {Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Synthesizing Images of Humans in Unseen Poses: Guha Balakrishnan,

Amy Zhao,

Adrian V. Dalca,

Frédo Durand,

John Guttag; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Balakrishnan_2018_CVPR,
author = {Balakrishnan, Guha and Zhao, Amy and Dalca, Adrian V. and Durand, Frédo and Guttag, John},
title = {Synthesizing Images of Humans in Unseen Poses},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SSNet: Scale Selection Network for Online 3D Action Prediction: Jun Liu,

Amir Shahroudy,

Gang Wang,

Ling-Yu Duan,

Alex C. Kot; [pdf] [video]
[bibtex]
@InProceedings{Liu_2018_CVPR,
author = {Liu, Jun and Shahroudy, Amir and Wang, Gang and Duan, Ling-Yu and Kot, Alex C.},
title = {SSNet: Scale Selection Network for Online 3D Action Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Detecting and Recognizing Human-Object Interactions: Georgia Gkioxari,

Ross Girshick,

Piotr Dollár,

Kaiming He; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Gkioxari_2018_CVPR,
author = {Gkioxari, Georgia and Girshick, Ross and Dollár, Piotr and He, Kaiming},
title = {Detecting and Recognizing Human-Object Interactions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Learning and Segmentation of Complex Activities From Video: Fadime Sener,

Angela Yao; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Sener_2018_CVPR,
author = {Sener, Fadime and Yao, Angela},
title = {Unsupervised Learning and Segmentation of Complex Activities From Video},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Training for 3D Morphable Model Regression: Kyle Genova,

Forrester Cole,

Aaron Maschinot,

Aaron Sarna,

Daniel Vlasic,

William T. Freeman; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Genova_2018_CVPR,
author = {Genova, Kyle and Cole, Forrester and Maschinot, Aaron and Sarna, Aaron and Vlasic, Daniel and Freeman, William T.},
title = {Unsupervised Training for 3D Morphable Model Regression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Video Based Reconstruction of 3D People Models: Thiemo Alldieck,

Marcus Magnor,

Weipeng Xu,

Christian Theobalt,

Gerard Pons-Moll; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Alldieck_2018_CVPR,
author = {Alldieck, Thiemo and Magnor, Marcus and Xu, Weipeng and Theobalt, Christian and Pons-Moll, Gerard},
title = {Video Based Reconstruction of 3D People Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Pose-Guided Photorealistic Face Rotation: Yibo Hu,

Xiang Wu,

Bing Yu,

Ran He,

Zhenan Sun; [pdf] [supp] [video]
[bibtex]
@InProceedings{Hu_2018_CVPR,
author = {Hu, Yibo and Wu, Xiang and Yu, Bing and He, Ran and Sun, Zhenan},
title = {Pose-Guided Photorealistic Face Rotation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Mesoscopic Facial Geometry Inference Using Deep Neural Networks: Loc Huynh,

Weikai Chen,

Shunsuke Saito,

Jun Xing,

Koki Nagano,

Andrew Jones,

Paul Debevec,

Hao Li; [pdf] [supp] [video]
[bibtex]
@InProceedings{Huynh_2018_CVPR,
author = {Huynh, Loc and Chen, Weikai and Saito, Shunsuke and Xing, Jun and Nagano, Koki and Jones, Andrew and Debevec, Paul and Li, Hao},
title = {Mesoscopic Facial Geometry Inference Using Deep Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Hand PointNet: 3D Hand Pose Estimation Using Point Sets: Liuhao Ge,

Yujun Cai,

Junwu Weng,

Junsong Yuan; [pdf] [supp] [video]
[bibtex]
@InProceedings{Ge_2018_CVPR,
author = {Ge, Liuhao and Cai, Yujun and Weng, Junwu and Yuan, Junsong},
title = {Hand PointNet: 3D Hand Pose Estimation Using Point Sets},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching: Arsha Nagrani,

Samuel Albanie,

Andrew Zisserman; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Nagrani_2018_CVPR,
author = {Nagrani, Arsha and Albanie, Samuel and Zisserman, Andrew},
title = {Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Monocular 3D Human Pose Estimation From Multi-View Images: Helge Rhodin,

Jörg Spörri,

Isinsu Katircioglu,

Victor Constantin,

Frédéric Meyer,

Erich Müller,

Mathieu Salzmann,

Pascal Fua; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Rhodin_2018_CVPR,
author = {Rhodin, Helge and Spörri, Jörg and Katircioglu, Isinsu and Constantin, Victor and Meyer, Frédéric and Müller, Erich and Salzmann, Mathieu and Fua, Pascal},
title = {Learning Monocular 3D Human Pose Estimation From Multi-View Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Separating Style and Content for Generalized Style Transfer: Yexun Zhang,

Ya Zhang,

Wenbin Cai; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Yexun and Zhang, Ya and Cai, Wenbin},
title = {Separating Style and Content for Generalized Style Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
TextureGAN: Controlling Deep Image Synthesis With Texture Patches: Wenqi Xian,

Patsorn Sangkloy,

Varun Agrawal,

Amit Raj,

Jingwan Lu,

Chen Fang,

Fisher Yu,

James Hays; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Xian_2018_CVPR,
author = {Xian, Wenqi and Sangkloy, Patsorn and Agrawal, Varun and Raj, Amit and Lu, Jingwan and Fang, Chen and Yu, Fisher and Hays, James},
title = {TextureGAN: Controlling Deep Image Synthesis With Texture Patches},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images: Tribhuvanesh Orekondy,

Mario Fritz,

Bernt Schiele; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Orekondy_2018_CVPR,
author = {Orekondy, Tribhuvanesh and Fritz, Mario and Schiele, Bernt},
title = {Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MapNet: An Allocentric Spatial Memory for Mapping Environments: João F. Henriques,

Andrea Vedaldi; [pdf] [video]
[bibtex]
@InProceedings{Henriques_2018_CVPR,
author = {Henriques, João F. and Vedaldi, Andrea},
title = {MapNet: An Allocentric Spatial Memory for Mapping Environments},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective: Apratim Bhattacharyya,

Bernt Schiele,

Mario Fritz; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Bhattacharyya_2018_CVPR,
author = {Bhattacharyya, Apratim and Schiele, Bernt and Fritz, Mario},
title = {Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
VirtualHome: Simulating Household Activities via Programs: Xavier Puig,

Kevin Ra,

Marko Boben,

Jiaman Li,

Tingwu Wang,

Sanja Fidler,

Antonio Torralba; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Puig_2018_CVPR,
author = {Puig, Xavier and Ra, Kevin and Boben, Marko and Li, Jiaman and Wang, Tingwu and Fidler, Sanja and Torralba, Antonio},
title = {VirtualHome: Simulating Household Activities via Programs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks: Swami Sankaranarayanan,

Yogesh Balaji,

Carlos D. Castillo,

Rama Chellappa; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Sankaranarayanan_2018_CVPR,
author = {Sankaranarayanan, Swami and Balaji, Yogesh and Castillo, Carlos D. and Chellappa, Rama},
title = {Generate to Adapt: Aligning Domains Using Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Agent Diverse Generative Adversarial Networks: Arnab Ghosh,

Viveka Kulharia,

Vinay P. Namboodiri,

Philip H.S. Torr,

Puneet K. Dokania; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Ghosh_2018_CVPR,
author = {Ghosh, Arnab and Kulharia, Viveka and Namboodiri, Vinay P. and Torr, Philip H.S. and Dokania, Puneet K.},
title = {Multi-Agent Diverse Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A PID Controller Approach for Stochastic Optimization of Deep Networks: Wangpeng An,

Haoqian Wang,

Qingyun Sun,

Jun Xu,

Qionghai Dai,

Lei Zhang; [pdf] [supp] [video]
[bibtex]
@InProceedings{An_2018_CVPR,
author = {An, Wangpeng and Wang, Haoqian and Sun, Qingyun and Xu, Jun and Dai, Qionghai and Zhang, Lei},
title = {A PID Controller Approach for Stochastic Optimization of Deep Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
“Learning-Compression” Algorithms for Neural Net Pruning: Miguel Á. Carreira-Perpiñán,

Yerlan Idelbayev; [pdf] [supp] [video]
[bibtex]
@InProceedings{Carreira-Perpiñán_2018_CVPR,
author = {Carreira-Perpiñán, Miguel Á. and Idelbayev, Yerlan},
title = {“Learning-Compression” Algorithms for Neural Net Pruning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Large-Scale Distance Metric Learning With Uncertainty: Qi Qian,

Jiasheng Tang,

Hao Li,

Shenghuo Zhu,

Rong Jin; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Qian_2018_CVPR,
author = {Qian, Qi and Tang, Jiasheng and Li, Hao and Zhu, Shenghuo and Jin, Rong},
title = {Large-Scale Distance Metric Learning With Uncertainty},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Guide Me: Interacting With Deep Networks: Christian Rupprecht,

Iro Laina,

Nassir Navab,

Gregory D. Hager,

Federico Tombari; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Rupprecht_2018_CVPR,
author = {Rupprecht, Christian and Laina, Iro and Navab, Nassir and Hager, Gregory D. and Tombari, Federico},
title = {Guide Me: Interacting With Deep Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Art of Singular Vectors and Universal Adversarial Perturbations: Valentin Khrulkov,

Ivan Oseledets; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Khrulkov_2018_CVPR,
author = {Khrulkov, Valentin and Oseledets, Ivan},
title = {Art of Singular Vectors and Universal Adversarial Perturbations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deflecting Adversarial Attacks With Pixel Deflection: Aaditya Prakash,

Nick Moran,

Solomon Garber,

Antonella DiLillo,

James Storer; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Prakash_2018_CVPR,
author = {Prakash, Aaditya and Moran, Nick and Garber, Solomon and DiLillo, Antonella and Storer, James},
title = {Deflecting Adversarial Attacks With Pixel Deflection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MovieGraphs: Towards Understanding Human-Centric Situations From Videos: Paul Vicol,

Makarand Tapaswi,

Lluís Castrejón,

Sanja Fidler; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Vicol_2018_CVPR,
author = {Vicol, Paul and Tapaswi, Makarand and Castrejón, Lluís and Fidler, Sanja},
title = {MovieGraphs: Towards Understanding Human-Centric Situations From Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text: Alexander Mathews,

Lexing Xie,

Xuming He; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Mathews_2018_CVPR,
author = {Mathews, Alexander and Xie, Lexing and He, Xuming},
title = {SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions: Torsten Sattler,

Will Maddern,

Carl Toft,

Akihiko Torii,

Lars Hammarstrand,

Erik Stenborg,

Daniel Safari,

Masatoshi Okutomi,

Marc Pollefeys,

Josef Sivic,

Fredrik Kahl,

Tomas Pajdla; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Sattler_2018_CVPR,
author = {Sattler, Torsten and Maddern, Will and Toft, Carl and Torii, Akihiko and Hammarstrand, Lars and Stenborg, Erik and Safari, Daniel and Okutomi, Masatoshi and Pollefeys, Marc and Sivic, Josef and Kahl, Fredrik and Pajdla, Tomas},
title = {Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
IVQA: Inverse Visual Question Answering: Feng Liu,

Tao Xiang,

Timothy M. Hospedales,

Wankou Yang,

Changyin Sun; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Liu_2018_CVPR,
author = {Liu, Feng and Xiang, Tao and Hospedales, Timothy M. and Yang, Wankou and Sun, Changyin},
title = {IVQA: Inverse Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Person Image Synthesis in Arbitrary Poses: Albert Pumarola,

Antonio Agudo,

Alberto Sanfeliu,

Francesc Moreno-Noguer; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Pumarola_2018_CVPR,
author = {Pumarola, Albert and Agudo, Antonio and Sanfeliu, Alberto and Moreno-Noguer, Francesc},
title = {Unsupervised Person Image Synthesis in Arbitrary Poses},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Descriptor Networks for 3D Shape Synthesis and Analysis: Jianwen Xie,

Zilong Zheng,

Ruiqi Gao,

Wenguan Wang,

Song-Chun Zhu,

Ying Nian Wu; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Xie_2018_CVPR,
author = {Xie, Jianwen and Zheng, Zilong and Gao, Ruiqi and Wang, Wenguan and Zhu, Song-Chun and Wu, Ying Nian},
title = {Learning Descriptor Networks for 3D Shape Synthesis and Analysis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Neural Kinematic Networks for Unsupervised Motion Retargetting: Ruben Villegas,

Jimei Yang,

Duygu Ceylan,

Honglak Lee; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Villegas_2018_CVPR,
author = {Villegas, Ruben and Yang, Jimei and Ceylan, Duygu and Lee, Honglak},
title = {Neural Kinematic Networks for Unsupervised Motion Retargetting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Group Consistent Similarity Learning via Deep CRF for Person Re-Identification: Dapeng Chen,

Dan Xu,

Hongsheng Li,

Nicu Sebe,

Xiaogang Wang; [pdf] [video]
[bibtex]
@InProceedings{Chen_2018_CVPR,
author = {Chen, Dapeng and Xu, Dan and Li, Hongsheng and Sebe, Nicu and Wang, Xiaogang},
title = {Group Consistent Similarity Learning via Deep CRF for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Compositional Visual Concepts With Mutual Consistency: Yunye Gong,

Srikrishna Karanam,

Ziyan Wu,

Kuan-Chuan Peng,

Jan Ernst,

Peter C. Doerschuk; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Gong_2018_CVPR,
author = {Gong, Yunye and Karanam, Srikrishna and Wu, Ziyan and Peng, Kuan-Chuan and Ernst, Jan and Doerschuk, Peter C.},
title = {Learning Compositional Visual Concepts With Mutual Consistency},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks: Eunwoo Kim,

Chanho Ahn,

Songhwai Oh; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Kim_2018_CVPR,
author = {Kim, Eunwoo and Ahn, Chanho and Oh, Songhwai},
title = {NestedNet: Learning Nested Sparse Structures in Deep Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Context Embedding Networks: Kun Ho Kim,

Oisin Mac Aodha,

Pietro Perona; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Kim_2018_CVPR,
author = {Kim, Kun Ho and Mac Aodha, Oisin and Perona, Pietro},
title = {Context Embedding Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Iterative Learning With Open-Set Noisy Labels: Yisen Wang,

Weiyang Liu,

Xingjun Ma,

James Bailey,

Hongyuan Zha,

Le Song,

Shu-Tao Xia; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Yisen and Liu, Weiyang and Ma, Xingjun and Bailey, James and Zha, Hongyuan and Song, Le and Xia, Shu-Tao},
title = {Iterative Learning With Open-Set Noisy Labels},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Transferable Architectures for Scalable Image Recognition: Barret Zoph,

Vijay Vasudevan,

Jonathon Shlens,

Quoc V. Le; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Zoph_2018_CVPR,
author = {Zoph, Barret and Vasudevan, Vijay and Shlens, Jonathon and Le, Quoc V.},
title = {Learning Transferable Architectures for Scalable Image Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SBNet: Sparse Blocks Network for Fast Inference: Mengye Ren,

Andrei Pokrovsky,

Bin Yang,

Raquel Urtasun; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Ren_2018_CVPR,
author = {Ren, Mengye and Pokrovsky, Andrei and Yang, Bin and Urtasun, Raquel},
title = {SBNet: Sparse Blocks Network for Fast Inference},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Language-Based Image Editing With Recurrent Attentive Models: Jianbo Chen,

Yelong Shen,

Jianfeng Gao,

Jingjing Liu,

Xiaodong Liu; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Chen_2018_CVPR,
author = {Chen, Jianbo and Shen, Yelong and Gao, Jianfeng and Liu, Jingjing and Liu, Xiaodong},
title = {Language-Based Image Editing With Recurrent Attentive Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks: Ruth Fong,

Andrea Vedaldi; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Fong_2018_CVPR,
author = {Fong, Ruth and Vedaldi, Andrea},
title = {Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
End-to-End Dense Video Captioning With Masked Transformer: Luowei Zhou,

Yingbo Zhou,

Jason J. Corso,

Richard Socher,

Caiming Xiong; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Luowei and Zhou, Yingbo and Corso, Jason J. and Socher, Richard and Xiong, Caiming},
title = {End-to-End Dense Video Captioning With Masked Transformer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH): Pelin Dogan,

Boyang Li,

Leonid Sigal,

Markus Gross; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Dogan_2018_CVPR,
author = {Dogan, Pelin and Li, Boyang and Sigal, Leonid and Gross, Markus},
title = {A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH)},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Path Aggregation Network for Instance Segmentation: Shu Liu,

Lu Qi,

Haifang Qin,

Jianping Shi,

Jiaya Jia; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Liu_2018_CVPR,
author = {Liu, Shu and Qi, Lu and Qin, Haifang and Shi, Jianping and Jia, Jiaya},
title = {Path Aggregation Network for Instance Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
The INaturalist Species Classification and Detection Dataset: Grant Van Horn,

Oisin Mac Aodha,

Yang Song,

Yin Cui,

Chen Sun,

Alex Shepard,

Hartwig Adam,

Pietro Perona,

Serge Belongie; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Horn_2018_CVPR,
author = {Van Horn, Grant and Mac Aodha, Oisin and Song, Yang and Cui, Yin and Sun, Chen and Shepard, Alex and Adam, Hartwig and Perona, Pietro and Belongie, Serge},
title = {The INaturalist Species Classification and Detection Dataset},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence: Dong Huk Park,

Lisa Anne Hendricks,

Zeynep Akata,

Anna Rohrbach,

Bernt Schiele,

Trevor Darrell,

Marcus Rohrbach; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Park_2018_CVPR,
author = {Park, Dong Huk and Hendricks, Lisa Anne and Akata, Zeynep and Rohrbach, Anna and Schiele, Bernt and Darrell, Trevor and Rohrbach, Marcus},
title = {Multimodal Explanations: Justifying Decisions and Pointing to the Evidence},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation: Yunjey Choi,

Minje Choi,

Munyoung Kim,

Jung-Woo Ha,

Sunghun Kim,

Jaegul Choo; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Choi_2018_CVPR,
author = {Choi, Yunjey and Choi, Minje and Kim, Munyoung and Ha, Jung-Woo and Kim, Sunghun and Choo, Jaegul},
title = {StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs: Ting-Chun Wang,

Ming-Yu Liu,

Jun-Yan Zhu,

Andrew Tao,

Jan Kautz,

Bryan Catanzaro; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Ting-Chun and Liu, Ming-Yu and Zhu, Jun-Yan and Tao, Andrew and Kautz, Jan and Catanzaro, Bryan},
title = {High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Semi-Parametric Image Synthesis: Xiaojuan Qi,

Qifeng Chen,

Jiaya Jia,

Vladlen Koltun; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Qi_2018_CVPR,
author = {Qi, Xiaojuan and Chen, Qifeng and Jia, Jiaya and Koltun, Vladlen},
title = {Semi-Parametric Image Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
BlockDrop: Dynamic Inference Paths in Residual Networks: Zuxuan Wu,

Tushar Nagarajan,

Abhishek Kumar,

Steven Rennie,

Larry S. Davis,

Kristen Grauman,

Rogerio Feris; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Wu_2018_CVPR,
author = {Wu, Zuxuan and Nagarajan, Tushar and Kumar, Abhishek and Rennie, Steven and Davis, Larry S. and Grauman, Kristen and Feris, Rogerio},
title = {BlockDrop: Dynamic Inference Paths in Residual Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Interpretable Convolutional Neural Networks: Quanshi Zhang,

Ying Nian Wu,

Song-Chun Zhu; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Quanshi and Wu, Ying Nian and Zhu, Song-Chun},
title = {Interpretable Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Cross-Media Knowledge Transfer: Xin Huang,

Yuxin Peng; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Huang_2018_CVPR,
author = {Huang, Xin and Peng, Yuxin},
title = {Deep Cross-Media Knowledge Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Interleaved Structured Sparse Convolutional Neural Networks: Guotian Xie,

Jingdong Wang,

Ting Zhang,

Jianhuang Lai,

Richang Hong,

Guo-Jun Qi; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Xie_2018_CVPR,
author = {Xie, Guotian and Wang, Jingdong and Zhang, Ting and Lai, Jianhuang and Hong, Richang and Qi, Guo-Jun},
title = {Interleaved Structured Sparse Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Variational U-Net for Conditional Appearance and Shape Generation: Patrick Esser,

Ekaterina Sutter,

Björn Ommer; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Esser_2018_CVPR,
author = {Esser, Patrick and Sutter, Ekaterina and Ommer, Björn},
title = {A Variational U-Net for Conditional Appearance and Shape Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation: Yen-Cheng Liu,

Yu-Ying Yeh,

Tzu-Chien Fu,

Sheng-De Wang,

Wei-Chen Chiu,

Yu-Chiang Frank Wang; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Liu_2018_CVPR,
author = {Liu, Yen-Cheng and Yeh, Yu-Ying and Fu, Tzu-Chien and Wang, Sheng-De and Chiu, Wei-Chen and Wang, Yu-Chiang Frank},
title = {Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Deep Structured Active Contours End-to-End: Diego Marcos,

Devis Tuia,

Benjamin Kellenberger,

Lisa Zhang,

Min Bai,

Renjie Liao,

Raquel Urtasun; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Marcos_2018_CVPR,
author = {Marcos, Diego and Tuia, Devis and Kellenberger, Benjamin and Zhang, Lisa and Bai, Min and Liao, Renjie and Urtasun, Raquel},
title = {Learning Deep Structured Active Contours End-to-End},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Learning Under Privileged Information Using Heteroscedastic Dropout: John Lambert,

Ozan Sener,

Silvio Savarese; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Lambert_2018_CVPR,
author = {Lambert, John and Sener, Ozan and Savarese, Silvio},
title = {Deep Learning Under Privileged Information Using Heteroscedastic Dropout},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning: Yucen Luo,

Jun Zhu,

Mengxi Li,

Yong Ren,

Bo Zhang; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Luo_2018_CVPR,
author = {Luo, Yucen and Zhu, Jun and Li, Mengxi and Ren, Yong and Zhang, Bo},
title = {Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Interpret Neural Networks by Identifying Critical Data Routing Paths: Yulong Wang,

Hang Su,

Bo Zhang,

Xiaolin Hu; [pdf] [supp] [video]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Yulong and Su, Hang and Zhang, Bo and Hu, Xiaolin},
title = {Interpret Neural Networks by Identifying Critical Data Routing Paths},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation: Siddhartha Chandra,

Camille Couprie,

Iasonas Kokkinos; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Chandra_2018_CVPR,
author = {Chandra, Siddhartha and Couprie, Camille and Kokkinos, Iasonas},
title = {Deep Spatio-Temporal Random Fields for Efficient Video Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Customized Image Narrative Generation via Interactive Visual Question Generation and Answering: Andrew Shin,

Yoshitaka Ushiku,

Tatsuya Harada; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Shin_2018_CVPR,
author = {Shin, Andrew and Ushiku, Yoshitaka and Harada, Tatsuya},
title = {Customized Image Narrative Generation via Interactive Visual Question Generation and Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume: Deqing Sun,

Xiaodong Yang,

Ming-Yu Liu,

Jan Kautz; [pdf] [supp] [video]
[bibtex]
@InProceedings{Sun_2018_CVPR,
author = {Sun, Deqing and Yang, Xiaodong and Liu, Ming-Yu and Kautz, Jan},
title = {PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Revisiting Deep Intrinsic Image Decompositions: Qingnan Fan,

Jiaolong Yang,

Gang Hua,

Baoquan Chen,

David Wipf; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Fan_2018_CVPR,
author = {Fan, Qingnan and Yang, Jiaolong and Hua, Gang and Chen, Baoquan and Wipf, David},
title = {Revisiting Deep Intrinsic Image Decompositions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Cell Detection and Classification Using a Generative Convolutional Model: Florence Yellin,

Benjamin D. Haeffele,

Sophie Roth,

René Vidal; [pdf] [video]
[bibtex]
@InProceedings{Yellin_2018_CVPR,
author = {Yellin, Florence and Haeffele, Benjamin D. and Roth, Sophie and Vidal, René},
title = {Multi-Cell Detection and Classification Using a Generative Convolutional Model},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Spatial-Aware Regressions for Visual Tracking: Chong Sun,

Dong Wang,

Huchuan Lu,

Ming-Hsuan Yang; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Sun_2018_CVPR,
author = {Sun, Chong and Wang, Dong and Lu, Huchuan and Yang, Ming-Hsuan},
title = {Learning Spatial-Aware Regressions for Visual Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
High Performance Visual Tracking With Siamese Region Proposal Network: Bo Li,

Junjie Yan,

Wei Wu,

Zheng Zhu,

Xiaolin Hu; [pdf] [video]
[bibtex]
@InProceedings{Li_2018_CVPR,
author = {Li, Bo and Yan, Junjie and Wu, Wei and Zhu, Zheng and Hu, Xiaolin},
title = {High Performance Visual Tracking With Siamese Region Proposal Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation: Tak-Wai Hui,

Xiaoou Tang,

Chen Change Loy; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Hui_2018_CVPR,
author = {Hui, Tak-Wai and Tang, Xiaoou and Loy, Chen Change},
title = {LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
VITAL: VIsual Tracking via Adversarial Learning: Yibing Song,

Chao Ma,

Xiaohe Wu,

Lijun Gong,

Linchao Bao,

Wangmeng Zuo,

Chunhua Shen,

Rynson W.H. Lau,

Ming-Hsuan Yang; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Song_2018_CVPR,
author = {Song, Yibing and Ma, Chao and Wu, Xiaohe and Gong, Lijun and Bao, Linchao and Zuo, Wangmeng and Shen, Chunhua and Lau, Rynson W.H. and Yang, Ming-Hsuan},
title = {VITAL: VIsual Tracking via Adversarial Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation: Huaizu Jiang,

Deqing Sun,

Varun Jampani,

Ming-Hsuan Yang,

Erik Learned-Miller,

Jan Kautz; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Jiang_2018_CVPR,
author = {Jiang, Huaizu and Sun, Deqing and Jampani, Varun and Yang, Ming-Hsuan and Learned-Miller, Erik and Kautz, Jan},
title = {Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Real-World Repetition Estimation by Div, Grad and Curl: Tom F. H. Runia,

Cees G. M. Snoek,

Arnold W. M. Smeulders; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Runia_2018_CVPR,
author = {Runia, Tom F. H. and Snoek, Cees G. M. and Smeulders, Arnold W. M.},
title = {Real-World Repetition Estimation by Div, Grad and Curl},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Recurrent Pixel Embedding for Instance Grouping: Shu Kong,

Charless C. Fowlkes; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Kong_2018_CVPR,
author = {Kong, Shu and Fowlkes, Charless C.},
title = {Recurrent Pixel Embedding for Instance Grouping},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective: Jing Zhang,

Tong Zhang,

Yuchao Dai,

Mehrtash Harandi,

Richard Hartley; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Jing and Zhang, Tong and Dai, Yuchao and Harandi, Mehrtash and Hartley, Richard},
title = {Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Intrinsic Image Decomposition From Watching the World: Zhengqi Li,

Noah Snavely; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Li_2018_CVPR,
author = {Li, Zhengqi and Snavely, Noah},
title = {Learning Intrinsic Image Decomposition From Watching the World},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays: Xiaosong Wang,

Yifan Peng,

Le Lu,

Zhiyong Lu,

Ronald M. Summers; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Xiaosong and Peng, Yifan and Lu, Le and Lu, Zhiyong and Summers, Ronald M.},
title = {TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Generating Synthetic X-Ray Images of a Person From the Surface Geometry: Brian Teixeira,

Vivek Singh,

Terrence Chen,

Kai Ma,

Birgi Tamersoy,

Yifan Wu,

Elena Balashova,

Dorin Comaniciu; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Teixeira_2018_CVPR,
author = {Teixeira, Brian and Singh, Vivek and Chen, Terrence and Ma, Kai and Tamersoy, Birgi and Wu, Yifan and Balashova, Elena and Comaniciu, Dorin},
title = {Generating Synthetic X-Ray Images of a Person From the Surface Geometry},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Gibson Env: Real-World Perception for Embodied Agents: Fei Xia,

Amir R. Zamir,

Zhiyang He,

Alexander Sax,

Jitendra Malik,

Silvio Savarese; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Xia_2018_CVPR,
author = {Xia, Fei and Zamir, Amir R. and He, Zhiyang and Sax, Alexander and Malik, Jitendra and Savarese, Silvio},
title = {Gibson Env: Real-World Perception for Embodied Agents},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Reinforcement Cutting-Agent Learning for Video Object Segmentation: Junwei Han,

Le Yang,

Dingwen Zhang,

Xiaojun Chang,

Xiaodan Liang; [pdf] [video]
[bibtex]
@InProceedings{Han_2018_CVPR,
author = {Han, Junwei and Yang, Le and Zhang, Dingwen and Chang, Xiaojun and Liang, Xiaodan},
title = {Reinforcement Cutting-Agent Learning for Video Object Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Feature Space Transfer for Data Augmentation: Bo Liu,

Xudong Wang,

Mandar Dixit,

Roland Kwitt,

Nuno Vasconcelos; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Liu_2018_CVPR,
author = {Liu, Bo and Wang, Xudong and Dixit, Mandar and Kwitt, Roland and Vasconcelos, Nuno},
title = {Feature Space Transfer for Data Augmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input: Adel Bibi,

Modar Alfadly,

Bernard Ghanem; [pdf] [supp] [video]
[bibtex]
@InProceedings{Bibi_2018_CVPR,
author = {Bibi, Adel and Alfadly, Modar and Ghanem, Bernard},
title = {Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Detail-Preserving Pooling in Deep Networks: Faraz Saeedan,

Nicolas Weber,

Michael Goesele,

Stefan Roth; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Saeedan_2018_CVPR,
author = {Saeedan, Faraz and Weber, Nicolas and Goesele, Michael and Roth, Stefan},
title = {Detail-Preserving Pooling in Deep Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Rethinking Feature Distribution for Loss Functions in Image Classification: Weitao Wan,

Yuanyi Zhong,

Tianpeng Li,

Jiansheng Chen; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wan_2018_CVPR,
author = {Wan, Weitao and Zhong, Yuanyi and Li, Tianpeng and Chen, Jiansheng},
title = {Rethinking Feature Distribution for Loss Functions in Image Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions: Bichen Wu,

Alvin Wan,

Xiangyu Yue,

Peter Jin,

Sicheng Zhao,

Noah Golmant,

Amir Gholaminejad,

Joseph Gonzalez,

Kurt Keutzer; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Wu_2018_CVPR,
author = {Wu, Bichen and Wan, Alvin and Yue, Xiangyu and Jin, Peter and Zhao, Sicheng and Golmant, Noah and Gholaminejad, Amir and Gonzalez, Joseph and Keutzer, Kurt},
title = {Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Sketch-a-Classifier: Sketch-Based Photo Classifier Generation: Conghui Hu,

Da Li,

Yi-Zhe Song,

Tao Xiang,

Timothy M. Hospedales; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Hu_2018_CVPR,
author = {Hu, Conghui and Li, Da and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M.},
title = {Sketch-a-Classifier: Sketch-Based Photo Classifier Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Light Field Intrinsics With a Deep Encoder-Decoder Network: Anna Alperovich,

Ole Johannsen,

Michael Strecke,

Bastian Goldluecke; [pdf] [supp] [video]
[bibtex]
@InProceedings{Alperovich_2018_CVPR,
author = {Alperovich, Anna and Johannsen, Ole and Strecke, Michael and Goldluecke, Bastian},
title = {Light Field Intrinsics With a Deep Encoder-Decoder Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Generative ConvNets via Multi-Grid Modeling and Sampling: Ruiqi Gao,

Yang Lu,

Junpei Zhou,

Song-Chun Zhu,

Ying Nian Wu; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Gao_2018_CVPR,
author = {Gao, Ruiqi and Lu, Yang and Zhou, Junpei and Zhu, Song-Chun and Wu, Ying Nian},
title = {Learning Generative ConvNets via Multi-Grid Modeling and Sampling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Manifold Learning in Quotient Spaces: Éloi Mehr,

André Lieutier,

Fernando Sanchez Bermudez,

Vincent Guitteny,

Nicolas Thome,

Matthieu Cord; [pdf] [supp] [video]
[bibtex]
@InProceedings{Mehr_2018_CVPR,
author = {Mehr, Éloi and Lieutier, André and Bermudez, Fernando Sanchez and Guitteny, Vincent and Thome, Nicolas and Cord, Matthieu},
title = {Manifold Learning in Quotient Spaces},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Intelligent Dialogs for Bounding Box Annotation: Ksenia Konyushkova,

Jasper Uijlings,

Christoph H. Lampert,

Vittorio Ferrari; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Konyushkova_2018_CVPR,
author = {Konyushkova, Ksenia and Uijlings, Jasper and Lampert, Christoph H. and Ferrari, Vittorio},
title = {Learning Intelligent Dialogs for Bounding Box Annotation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Boosting Adversarial Attacks With Momentum: Yinpeng Dong,

Fangzhou Liao,

Tianyu Pang,

Hang Su,

Jun Zhu,

Xiaolin Hu,

Jianguo Li; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Dong_2018_CVPR,
author = {Dong, Yinpeng and Liao, Fangzhou and Pang, Tianyu and Su, Hang and Zhu, Jun and Hu, Xiaolin and Li, Jianguo},
title = {Boosting Adversarial Attacks With Momentum},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
NISP: Pruning Networks Using Neuron Importance Score Propagation: Ruichi Yu,

Ang Li,

Chun-Fu Chen,

Jui-Hsin Lai,

Vlad I. Morariu,

Xintong Han,

Mingfei Gao,

Ching-Yung Lin,

Larry S. Davis; [pdf] [supp] [arXiv] [video]
[bibtex]
@InProceedings{Yu_2018_CVPR,
author = {Yu, Ruichi and Li, Ang and Chen, Chun-Fu and Lai, Jui-Hsin and Morariu, Vlad I. and Han, Xintong and Gao, Mingfei and Lin, Ching-Yung and Davis, Larry S.},
title = {NISP: Pruning Networks Using Neuron Importance Score Propagation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PointGrid: A Deep Network for 3D Shape Understanding: Truc Le,

Ye Duan; [pdf] [video]
[bibtex]
@InProceedings{Le_2018_CVPR,
author = {Le, Truc and Duan, Ye},
title = {PointGrid: A Deep Network for 3D Shape Understanding},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Tell Me Where to Look: Guided Attention Inference Network: Kunpeng Li,

Ziyan Wu,

Kuan-Chuan Peng,

Jan Ernst,

Yun Fu; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Li_2018_CVPR,
author = {Li, Kunpeng and Wu, Ziyan and Peng, Kuan-Chuan and Ernst, Jan and Fu, Yun},
title = {Tell Me Where to Look: Guided Attention Inference Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
3D Semantic Segmentation With Submanifold Sparse Convolutional Networks: Benjamin Graham,

Martin Engelcke,

Laurens van der Maaten; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Graham_2018_CVPR,
author = {Graham, Benjamin and Engelcke, Martin and van der Maaten, Laurens},
title = {3D Semantic Segmentation With Submanifold Sparse Convolutional Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
TOM-Net: Learning Transparent Object Matting From a Single Image: Guanying Chen,

Kai Han,

Kwan-Yee K. Wong; [pdf] [arXiv] [video]
[bibtex]
@InProceedings{Chen_2018_CVPR,
author = {Chen, Guanying and Han, Kai and Wong, Kwan-Yee K.},
title = {TOM-Net: Learning Transparent Object Matting From a Single Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network: Zizhao Zhang,

Lin Yang,

Yefeng Zheng; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Zizhao and Yang, Lin and Zheng, Yefeng},
title = {Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
An Unsupervised Learning Model for Deformable Medical Image Registration: Guha Balakrishnan,

Amy Zhao,

Mert R. Sabuncu,

John Guttag,

Adrian V. Dalca; [pdf] [arXiv]
[bibtex]
@InProceedings{Balakrishnan_2018_CVPR,
author = {Balakrishnan, Guha and Zhao, Amy and Sabuncu, Mert R. and Guttag, John and Dalca, Adrian V.},
title = {An Unsupervised Learning Model for Deformable Medical Image Registration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database: Ke Yan,

Xiaosong Wang,

Le Lu,

Ling Zhang,

Adam P. Harrison,

Mohammadhadi Bagheri,

Ronald M. Summers; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yan_2018_CVPR,
author = {Yan, Ke and Wang, Xiaosong and Lu, Le and Zhang, Ling and Harrison, Adam P. and Bagheri, Mohammadhadi and Summers, Ronald M.},
title = {Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms: Alexandre Bône,

Olivier Colliot,

Stanley Durrleman; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bône_2018_CVPR,
author = {Bône, Alexandre and Colliot, Olivier and Durrleman, Stanley},
title = {Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CNN Driven Sparse Multi-Level B-Spline Image Registration: Pingge Jiang,

James A. Shackleford; [pdf]
[bibtex]
@InProceedings{Jiang_2018_CVPR,
author = {Jiang, Pingge and Shackleford, James A.},
title = {CNN Driven Sparse Multi-Level B-Spline Image Registration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation: Adrian V. Dalca,

John Guttag,

Mert R. Sabuncu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dalca_2018_CVPR,
author = {Dalca, Adrian V. and Guttag, John and Sabuncu, Mert R.},
title = {Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
3D Registration of Curves and Surfaces Using Local Differential Information: Carolina Raposo,

João P. Barreto; [pdf] [arXiv]
[bibtex]
@InProceedings{Raposo_2018_CVPR,
author = {Raposo, Carolina and Barreto, João P.},
title = {3D Registration of Curves and Surfaces Using Local Differential Information},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Weakly Supervised Learning of Single-Cell Feature Embeddings: Juan C. Caicedo,

Claire McQuin,

Allen Goodman,

Shantanu Singh,

Anne E. Carpenter; [pdf] [supp]
[bibtex]
@InProceedings{Caicedo_2018_CVPR,
author = {Caicedo, Juan C. and McQuin, Claire and Goodman, Allen and Singh, Shantanu and Carpenter, Anne E.},
title = {Weakly Supervised Learning of Single-Cell Feature Embeddings},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Guided Proofreading of Automatic Segmentations for Connectomics: Daniel Haehn,

Verena Kaynig,

James Tompkin,

Jeff W. Lichtman,

Hanspeter Pfister; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Haehn_2018_CVPR,
author = {Haehn, Daniel and Kaynig, Verena and Tompkin, James and Lichtman, Jeff W. and Pfister, Hanspeter},
title = {Guided Proofreading of Automatic Segmentations for Connectomics},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Wide Compression: Tensor Ring Nets: Wenqi Wang,

Yifan Sun,

Brian Eriksson,

Wenlin Wang,

Vaneet Aggarwal; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2018_CVPR,
author = {Wang, Wenqi and Sun, Yifan and Eriksson, Brian and Wang, Wenlin and Aggarwal, Vaneet},
title = {Wide Compression: Tensor Ring Nets},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Improvements to Context Based Self-Supervised Learning: T. Nathan Mundhenk,

Daniel Ho,

Barry Y. Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mundhenk_2018_CVPR,
author = {Mundhenk, T. Nathan and Ho, Daniel and Chen, Barry Y.},
title = {Improvements to Context Based Self-Supervised Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Structure and Strength of CNN Filters for Small Sample Size Training: Rohit Keshari,

Mayank Vatsa,

Richa Singh,

Afzel Noore; [pdf] [arXiv]
[bibtex]
@InProceedings{Keshari_2018_CVPR,
author = {Keshari, Rohit and Vatsa, Mayank and Singh, Richa and Noore, Afzel},
title = {Learning Structure and Strength of CNN Filters for Small Sample Size Training},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Boosting Self-Supervised Learning via Knowledge Transfer: Mehdi Noroozi,

Ananth Vinjimoor,

Paolo Favaro,

Hamed Pirsiavash; [pdf] [arXiv]
[bibtex]
@InProceedings{Noroozi_2018_CVPR,
author = {Noroozi, Mehdi and Vinjimoor, Ananth and Favaro, Paolo and Pirsiavash, Hamed},
title = {Boosting Self-Supervised Learning via Knowledge Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
The Power of Ensembles for Active Learning in Image Classification: William H. Beluch,

Tim Genewein,

Andreas Nürnberger,

Jan M. Köhler; [pdf] [supp]
[bibtex]
@InProceedings{Beluch_2018_CVPR,
author = {Beluch, William H. and Genewein, Tim and Nürnberger, Andreas and Köhler, Jan M.},
title = {The Power of Ensembles for Active Learning in Image Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition: Jinmian Ye,

Linnan Wang,

Guangxi Li,

Di Chen,

Shandian Zhe,

Xinqi Chu,

Zenglin Xu; [pdf] [arXiv]
[bibtex]
@InProceedings{Ye_2018_CVPR,
author = {Ye, Jinmian and Wang, Linnan and Li, Guangxi and Chen, Di and Zhe, Shandian and Chu, Xinqi and Xu, Zenglin},
title = {Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Spatially-Adaptive Filter Units for Deep Neural Networks: Domen Tabernik,

Matej Kristan,

Aleš Leonardis; [pdf] [arXiv]
[bibtex]
@InProceedings{Tabernik_2018_CVPR,
author = {Tabernik, Domen and Kristan, Matej and Leonardis, Aleš},
title = {Spatially-Adaptive Filter Units for Deep Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SO-Net: Self-Organizing Network for Point Cloud Analysis: Jiaxin Li,

Ben M. Chen,

Gim Hee Lee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2018_CVPR,
author = {Li, Jiaxin and Chen, Ben M. and Lee, Gim Hee},
title = {SO-Net: Self-Organizing Network for Point Cloud Analysis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SGAN: An Alternative Training of Generative Adversarial Networks: Tatjana Chavdarova,

François Fleuret; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chavdarova_2018_CVPR,
author = {Chavdarova, Tatjana and Fleuret, François},
title = {SGAN: An Alternative Training of Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis: Wengling Chen,

James Hays; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2018_CVPR,
author = {Chen, Wengling and Hays, James},
title = {SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks: Aojun Zhou,

Anbang Yao,

Kuan Wang,

Yurong Chen; [pdf]
[bibtex]
@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Aojun and Yao, Anbang and Wang, Kuan and Chen, Yurong},
title = {Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Towards Universal Representation for Unseen Action Recognition: Yi Zhu,

Yang Long,

Yu Guan,

Shawn Newsam,

Ling Shao; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhu_2018_CVPR,
author = {Zhu, Yi and Long, Yang and Guan, Yu and Newsam, Shawn and Shao, Ling},
title = {Towards Universal Representation for Unseen Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Image Prior: Dmitry Ulyanov,

Andrea Vedaldi,

Victor Lempitsky; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ulyanov_2018_CVPR,
author = {Ulyanov, Dmitry and Vedaldi, Andrea and Lempitsky, Victor},
title = {Deep Image Prior},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing: Chen-Hsuan Lin,

Ersin Yumer,

Oliver Wang,

Eli Shechtman,

Simon Lucey; [pdf] [arXiv]
[bibtex]
@InProceedings{Lin_2018_CVPR,
author = {Lin, Chen-Hsuan and Yumer, Ersin and Wang, Oliver and Shechtman, Eli and Lucey, Simon},
title = {ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CartoonGAN: Generative Adversarial Networks for Photo Cartoonization: Yang Chen,

Yu-Kun Lai,

Yong-Jin Liu; [pdf]
[bibtex]
@InProceedings{Chen_2018_CVPR,
author = {Chen, Yang and Lai, Yu-Kun and Liu, Yong-Jin},
title = {CartoonGAN: Generative Adversarial Networks for Photo Cartoonization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}