CVPR 2018
979 papers
3D Human Pose Estimation in the Wild by Adversarial Learning
Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy Ren, Hongsheng Li, Xiaogang Wang A Biresolution Spectral Framework for Product Quantization
Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri A Common Framework for Interactive Texture Transfer
Yifang Men, Zhouhui Lian, Yingmin Tang, Jianguo Xiao A Deeper Look at Power Normalizations
Piotr Koniusz, Hongguang Zhang, Fatih Porikli A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping
Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang A Low Power, High Throughput, Fully Event-Based Stereo System
Alexander Andreopoulos, Hirak J. Kashyap, Tapan K. Nayak, Arnon Amir, Myron D. Flickner A Papier-Mâché Approach to Learning 3D Surface Generation
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry A Perceptual Measure for Deep Single Image Camera Calibration
Yannick Hold-Geoffroy, Kalyan Sunkavalli, Jonathan Eisenmann, Matthew Fisher, Emiliano Gambaretto, Sunil Hadap, Jean-François Lalonde A PID Controller Approach for Stochastic Optimization of Deep Networks
Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang A Two-Step Disentanglement Method
Naama Hadad, Lior Wolf, Moni Shahar Actor and Action Video Segmentation from a Sentence
Kirill Gavrilyuk, Amir Ghodrati, Zhenyang Li, Cees G. M. Snoek Actor and Observer: Joint Modeling of First and Third-Person Videos
Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu Adversarially Learned One-Class Classifier for Novelty Detection
Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli Adversarially Occluded Samples for Person Re-Identification
Houjing Huang, Dangwei Li, Zhang Zhang, Xiaotang Chen, Kaiqi Huang Alive Caricature from 2D to 3D
Qianyi Wu, Juyong Zhang, Yu-Kun Lai, Jianmin Zheng, Jianfei Cai AMNet: Memorability Estimation with Attention
Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino An End-to-End TextSpotter with Explicit Alignment and Attention
Tong He, Zhi Tian, Weilin Huang, Chunhua Shen, Yu Qiao, Changming Sun An Unsupervised Learning Model for Deformable Medical Image Registration
Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John Guttag, Adrian V. Dalca AON: Towards Arbitrarily-Oriented Text Recognition
Zhanzhan Cheng, Yangliu Xu, Fan Bai, Yi Niu, Shiliang Pu, Shuigeng Zhou Aperture Supervision for Monocular Depth Estimation
Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan T. Barron Attend and Interact: Higher-Order Object Interactions for Video Understanding
Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, Hans Peter Graf Audio to Body Dynamics
Eli Shlizerman, Lucio Dery, Hayden Schoen, Ira Kemelmacher-Shlizerman Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections
true Price, Johannes L. Schönberger, Zhen Wei, Marc Pollefeys, Jan-Michael Frahm Automatic 3D Indoor Scene Modeling from Single Panorama
Yang Yang, Shi Jin, Ruiyang Liu, Sing Bing Kang, Jingyi Yu AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions
Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik Baseline Desensitizing in Translation Averaging
Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee 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 Between-Class Learning for Image Classification
Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada Beyond Grobner Bases: Basis Selection for Minimal Solvers
Viktor Larsson, Magnus Oskarsson, Kalle Astrom, Alge Wallis, Zuzana Kukelova, Tomas Pajdla Beyond the Pixel-Wise Loss for Topology-Aware Delineation
Agata Mosinska, Pablo Márquez-Neila, Mateusz Koziński, Pascal Fua Bidirectional Retrieval Made Simple
Jônatas Wehrmann, Rodrigo C. Barros BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogerio Feris Boosting Adversarial Attacks with Momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li Boosting Domain Adaptation by Discovering Latent Domains
Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci Boosting Self-Supervised Learning via Knowledge Transfer
Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash Bottom-up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang Burst Denoising with Kernel Prediction Networks
Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll Camera Style Adaptation for Person Re-Identification
Zhun Zhong, Liang Zheng, Zhedong Zheng, Shaozi Li, Yi Yang Cascaded Pyramid Network for Multi-Person Pose Estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, Jian Sun Classification-Driven Dynamic Image Enhancement
Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar, Jasper Uijlings, Vittorio Ferrari CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison Compassionately Conservative Balanced Cuts for Image Segmentation
Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton Compressed Video Action Recognition
Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl CondenseNet: An Efficient DenseNet Using Learned Group Convolutions
Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger Conditional Image-to-Image Translation
Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu Conditional Probability Models for Deep Image Compression
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool Consensus Maximization for Semantic Region Correspondences
Pablo Speciale, Danda P. Paudel, Martin R. Oswald, Hayko Riemenschneider, Luc Van Gool, Marc Pollefeys Context Embedding Networks
Kun Ho Kim, Oisin Mac Aodha, Pietro Perona Context Encoding for Semantic Segmentation
Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal Context-Aware Deep Feature Compression for High-Speed Visual Tracking
Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi Convolutional Image Captioning
Jyoti Aneja, Aditya Deshpande, Alexander G. Schwing CosFace: Large Margin Cosine Loss for Deep Face Recognition
Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, Wei Liu Cross-Modal Deep Variational Hand Pose Estimation
Adrian Spurr, Jie Song, Seonwook Park, Otmar Hilliges Crowd Counting via Adversarial Cross-Scale Consistency Pursuit
Zan Shen, Yi Xu, Bingbing Ni, Minsi Wang, Jianguo Hu, Xiaokang Yang Crowd Counting with Deep Negative Correlation Learning
Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng CRRN: Multi-Scale Guided Concurrent Reflection Removal Network
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot CSGNet: Neural Shape Parser for Constructive Solid Geometry
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos
Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun Data Distillation: Towards Omni-Supervised Learning
Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, Kaiming He DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Jiří Matas Decorrelated Batch Normalization
Lei Huang, Dawei Yang, Bo Lang, Jia Deng Decoupled Networks
Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song Deep Adversarial Metric Learning
Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, Jie Zhou Deep Back-Projection Networks for Super-Resolution
Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita Deep Cauchy Hashing for Hamming Space Retrieval
Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang Deep Density Clustering of Unconstrained Faces
Wei-An Lin, Jun-Cheng Chen, Carlos D. Castillo, Rama Chellappa Deep Diffeomorphic Transformer Networks
Nicki Skafte Detlefsen, Oren Freifeld, Søren Hauberg Deep End-to-End Time-of-Flight Imaging
Shuochen Su, Felix Heide, Gordon Wetzstein, Wolfgang Heidrich Deep Extreme Cut: From Extreme Points to Object Segmentation
Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool Deep Group-Shuffling Random Walk for Person Re-Identification
Yantao Shen, Hongsheng Li, Tong Xiao, Shuai Yi, Dapeng Chen, Xiaogang Wang Deep Hashing via Discrepancy Minimization
Zhixiang Chen, Xin Yuan, Jiwen Lu, Qi Tian, Jie Zhou Deep Image Prior
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky Deep Layer Aggregation
Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell Deep Learning of Graph Matching
Andrei Zanfir, Cristian Sminchisescu Deep Material-Aware Cross-Spectral Stereo Matching
Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan Deep Mutual Learning
Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao Deep Parametric Continuous Convolutional Neural Networks
Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun Deep Regression Forests for Age Estimation
Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille Deep Semantic Face Deblurring
Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang Deeply Learned Filter Response Functions for Hyperspectral Reconstruction
Shijie Nie, Lin Gu, Yinqiang Zheng, Antony Lam, Nobutaka Ono, Imari Sato DeepMVS: Learning Multi-View Stereopsis
Po-Han Huang, Kevin Matzen, Johannes Kopf, Narendra Ahuja, Jia-Bin Huang Deflecting Adversarial Attacks with Pixel Deflection
Aaditya Prakash, Nick Moran, Solomon Garber, Antonella DiLillo, James Storer Deformable GANs for Pose-Based Human Image Generation
Aliaksandr Siarohin, Enver Sangineto, Stéphane Lathuilière, Nicu Sebe Demo2Vec: Reasoning Object Affordances from Online Videos
Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, Joseph J. Lim Dense 3D Regression for Hand Pose Estimation
Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao DenseASPP for Semantic Segmentation in Street Scenes
Maoke Yang, Kun Yu, Chi Zhang, Zhiwei Li, Kuiyuan Yang DensePose: Dense Human Pose Estimation in the Wild
Rıza Alp Güler, Natalia Neverova, Iasonas Kokkinos Density Adaptive Point Set Registration
Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg Depth-Aware Stereo Video Retargeting
Bing Li, Chia-Wen Lin, Boxin Shi, Tiejun Huang, Wen Gao, C.-C. Jay Kuo Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis Argyros, Tae-Kyun Kim 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 Detail-Preserving Pooling in Deep Networks
Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji Detect-and-Track: Efficient Pose Estimation in Videos
Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran Detecting and Recognizing Human-Object Interactions
Georgia Gkioxari, Ross Girshick, Piotr Dollár, Kaiming He Direct Shape Regression Networks for End-to-End Face Alignment
Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs
Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer, Csaba Domokos, Laura Leal-Taixé, Frank R. Schmidt, Bjoern Andres, Daniel Cremers Discriminability Objective for Training Descriptive Captions
Ruotian Luo, Brian Price, Scott Cohen, Gregory Shakhnarovich Disentangled Person Image Generation
Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz Disentangling Factors of Variation by Mixing Them
Qiyang Hu, Attila Szabó, Tiziano Portenier, Paolo Favaro, Matthias Zwicker Distributable Consistent Multi-Object Matching
Nan Hu, Qixing Huang, Boris Thibert, Leonidas J. Guibas DiverseNet: When One Right Answer Is Not Enough
Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow DocUNet: Document Image Unwarping via a Stacked U-Net
Ke Ma, Zhixin Shu, Xue Bai, Jue Wang, Dimitris Samaras Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool Domain Generalization with Adversarial Feature Learning
Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang Dual Skipping Networks
Changmao Cheng, Yanwei Fu, Yu-Gang Jiang, Wei Liu, Wenlian Lu, Jianfeng Feng, Xiangyang Xue Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks
Jiawei Zhang, Jinshan Pan, Jimmy Ren, Yibing Song, Linchao Bao, Rynson W.H. Lau, Ming-Hsuan Yang Dynamic Video Segmentation Network
Yu-Syuan Xu, Tsu-Jui Fu, Hsuan-Kung Yang, Chun-Yi Lee Edit Probability for Scene Text Recognition
Fan Bai, Zhanzhan Cheng, Yi Niu, Shiliang Pu, Shuigeng Zhou Efficient Optimization for Rank-Based Loss Functions
Pritish Mohapatra, Michal Rolínek, C.V. Jawahar, Vladimir Kolmogorov, M. Pawan Kumar Efficient Video Object Segmentation via Network Modulation
Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, Aggelos K. Katsaggelos Egocentric Activity Recognition on a Budget
Rafael Possas, Sheila Pinto Caceres, Fabio Ramos Eliminating Background-Bias for Robust Person Re-Identification
Maoqing Tian, Shuai Yi, Hongsheng Li, Shihua Li, Xuesen Zhang, Jianping Shi, Junjie Yan, Xiaogang Wang Embodied Question Answering
Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra 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 Empirical Study of the Topology and Geometry of Deep Networks
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto End-to-End Dense Video Captioning with Masked Transformer
Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong End-to-End Learning of Motion Representation for Video Understanding
Lijie Fan, Wenbing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang End-to-End Recovery of Human Shape and Pose
Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik End-to-End Weakly-Supervised Semantic Alignment
Ignacio Rocco, Relja Arandjelović, Josef Sivic Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso García, Davide Scaramuzza Every Smile Is Unique: Landmark-Guided Diverse Smile Generation
Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, Nicu Sebe Excitation Backprop for RNNs
Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff Extreme 3D Face Reconstruction: Seeing Through Occlusions
Anh Tuấn Trần, Tal Hassner, Iacopo Masi, Eran Paz, Yuval Nirkin, Gérard Medioni Facelet-Bank for Fast Portrait Manipulation
Ying-Cong Chen, Huaijia Lin, Michelle Shu, Ruiyu Li, Xin Tao, Xiaoyong Shen, Yangang Ye, Jiaya Jia Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene
Shubham Tulsiani, Saurabh Gupta, David F. Fouhey, Alexei A. Efros, Jitendra Malik Fast and Accurate Online Video Object Segmentation via Tracking Parts
Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang Fast End-to-End Trainable Guided Filter
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang Fast Spectral Ranking for Similarity Search
Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondřej Chum Feature Generating Networks for Zero-Shot Learning
Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata Feature Space Transfer for Data Augmentation
Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos FFNet: Video Fast-Forwarding via Reinforcement Learning
Shuyue Lan, Rameswar Panda, Qi Zhu, Amit K. Roy-Chowdhury Fine-Grained Video Captioning for Sports Narrative
Huanyu Yu, Shuo Cheng, Bingbing Ni, Minsi Wang, Jian Zhang, Xiaokang Yang FlipDial: A Generative Model for Two-Way Visual Dialogue
Daniela Massiceti, N. Siddharth, Puneet K. Dokania, Philip H.S. Torr Focal Visual-Text Attention for Visual Question Answering
Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann FOTS: Fast Oriented Text Spotting with a Unified Network
Xuebo Liu, Ding Liang, Shi Yan, Dagui Chen, Yu Qiao, Junjie Yan Frame-Recurrent Video Super-Resolution
Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown From Lifestyle Vlogs to Everyday Interactions
David F. Fouhey, Wei-cheng Kuo, Alexei A. Efros, Jitendra Malik Frustum PointNets for 3D Object Detection from RGB-D Data
Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas Functional mAP of the World
Gordon Christie, Neil Fendley, James Wilson, Ryan Mukherjee Future Person Localization in First-Person Videos
Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato GAGAN: Geometry-Aware Generative Adversarial Networks
Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB
Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, Christian Theobalt Gated Fusion Network for Single Image Dehazing
Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, Ming-Hsuan Yang Gaze Prediction in Dynamic 360° Immersive Videos
Yanyu Xu, Yanbing Dong, Junru Wu, Zhengzhong Sun, Zhiru Shi, Jingyi Yu, Shenghua Gao Generalized Zero-Shot Learning via Synthesized Examples
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai Generate to Adapt: Aligning Domains Using Generative Adversarial Networks
Swami Sankaranarayanan, Yogesh Balaji, Carlos D. Castillo, Rama Chellappa 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 Generative Adversarial Perturbations
Omid Poursaeed, Isay Katsman, Bicheng Gao, Serge Belongie Generative Image Inpainting with Contextual Attention
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang Geometry-Aware Learning of Maps for Camera Localization
Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, Jan Kautz Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View
Albert Pumarola, Antonio Agudo, Lorenzo Porzi, Alberto Sanfeliu, Vincent Lepetit, Francesc Moreno-Noguer Gesture Recognition: Focus on the Hands
Pradyumna Narayana, Ross Beveridge, Bruce A. Draper Gibson Env: Real-World Perception for Embodied Agents
Fei Xia, Amir R. Zamir, Zhiyang He, Alexander Sax, Jitendra Malik, Silvio Savarese Global Versus Localized Generative Adversarial Nets
Guo-Jun Qi, Liheng Zhang, Hao Hu, Marzieh Edraki, Jingdong Wang, Xian-Sheng Hua Good View Hunting: Learning Photo Composition from Dense View Pairs
Zijun Wei, Jianming Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, Minh Hoai, Dimitris Samaras Graph-Cut RANSAC
Daniel Barath, Jiří Matas Guide Me: Interacting with Deep Networks
Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari Guided Proofreading of Automatic Segmentations for Connectomics
Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister Hashing as Tie-Aware Learning to Rank
Kun He, Fatih Cakir, Sarah Adel Bargal, Stan Sclaroff Hierarchical Novelty Detection for Visual Object Recognition
Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee Hierarchical Recurrent Attention Networks for Structured Online Maps
Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun 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 Human Appearance Transfer
Mihai Zanfir, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu Human Pose Estimation with Parsing Induced Learner
Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan Human Semantic Parsing for Person Re-Identification
Mahdi M. Kalayeh, Emrah Basaran, Muhittin Gökmen, Mustafa E. Kamasak, Mubarak Shah Human-Centric Indoor Scene Synthesis Using Stochastic Grammar
Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, Song-Chun Zhu Hybrid Camera Pose Estimation
Federico Camposeco, Andrea Cohen, Marc Pollefeys, Torsten Sattler HydraNets: Specialized Dynamic Architectures for Efficient Inference
Ravi Teja Mullapudi, William R. Mark, Noam Shazeer, Kayvon Fatahalian Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning
Xingping Dong, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, Fatih Porikli Illuminant Spectra-Based Source Separation Using Flash Photography
Zhuo Hui, Kalyan Sunkavalli, Sunil Hadap, Aswin C. Sankaranarayanan Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View
Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, Thomas Funkhouser Image Correction via Deep Reciprocating HDR Transformation
Xin Yang, Ke Xu, Yibing Song, Qiang Zhang, Xiaopeng Wei, Rynson W.H. Lau Image Generation from Scene Graphs
Justin Johnson, Agrim Gupta, Li Fei-Fei Image Super-Resolution via Dual-State Recurrent Networks
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang Image to Image Translation for Domain Adaptation
Zak Murez, Soheil Kolouri, David Kriegman, Ravi Ramamoorthi, Kyungnam Kim Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy Chinen, Sung Jin Hwang, Joel Shor, George Toderici Improving Landmark Localization with Semi-Supervised Learning
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal, Jan Kautz Inferring Light Fields from Shadows
Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba Inferring Shared Attention in Social Scene Videos
Lifeng Fan, Yixin Chen, Ping Wei, Wenguan Wang, Song-Chun Zhu 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 Instance Embedding Transfer to Unsupervised Video Object Segmentation
Siyang Li, Bryan Seybold, Alexey Vorobyov, Alireza Fathi, Qin Huang, C.-C. Jay Kuo Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, Guo-Jun Qi Interpretable Convolutional Neural Networks
Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu Inverse Composition Discriminative Optimization for Point Cloud Registration
Jayakorn Vongkulbhisal, Beñat Irastorza Ugalde, Fernando De la Torre, João P. Costeira InverseFaceNet: Deep Monocular Inverse Face Rendering
Hyeongwoo Kim, Michael Zollhöfer, Ayush Tewari, Justus Thies, Christian Richardt, Christian Theobalt IQA: Visual Question Answering in Interactive Environments
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi Iterative Learning with Open-Set Noisy Labels
Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia Iterative Visual Reasoning Beyond Convolutions
Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta IVQA: Inverse Visual Question Answering
Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun Jerk-Aware Video Acceleration Magnification
Shoichiro Takeda, Kazuki Okami, Dan Mikami, Megumi Isogai, Hideaki Kimata Joint Optimization Framework for Learning with Noisy Labels
Daiki Tanaka, Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa Language-Based Image Editing with Recurrent Attentive Models
Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu Large-Scale Distance Metric Learning with Uncertainty
Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin Latent RANSAC
Simon Korman, Roee Litman LDMNet: Low Dimensional Manifold Regularized Neural Networks
Wei Zhu, Qiang Qiu, Jiaji Huang, Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies Lean Multiclass Crowdsourcing
Grant Van Horn, Steve Branson, Scott Loarie, Serge Belongie, Pietro Perona Learning a Complete Image Indexing Pipeline
Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval Learning a Discriminative Feature Network for Semantic Segmentation
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang Learning a Discriminative Prior for Blind Image Deblurring
Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang Learning and Using the Arrow of Time
Donglai Wei, Joseph J. Lim, Andrew Zisserman, William T. Freeman Learning by Asking Questions
Ishan Misra, Ross Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu Learning Compositional Visual Concepts with Mutual Consistency
Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk Learning Deep Descriptors with Scale-Aware Triplet Networks
Michel Keller, Zetao Chen, Fabiola Maffra, Patrik Schmuck, Margarita Chli Learning Deep Sketch Abstraction
Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales Learning Deep Structured Active Contours End-to-End
Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun Learning Depth from Monocular Videos Using Direct Methods
Chaoyang Wang, José Miguel Buenaposada, Rui Zhu, Simon Lucey Learning Descriptor Networks for 3D Shape Synthesis and Analysis
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu Learning Dual Convolutional Neural Networks for Low-Level Vision
Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai, Ming-Hsuan Yang Learning for Disparity Estimation Through Feature Constancy
Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang Learning from Noisy Web Data with Category-Level Supervision
Li Niu, Qingtao Tang, Ashok Veeraraghavan, Ashutosh Sabharwal Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser Nam Lim, Rama Chellappa Learning Intelligent Dialogs for Bounding Box Annotation
Ksenia Konyushkova, Jasper Uijlings, Christoph H. Lampert, Vittorio Ferrari Learning Markov Clustering Networks for Scene Text Detection
Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh 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 Learning Rich Features for Image Manipulation Detection
Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis Learning Superpixels with Segmentation-Aware Affinity Loss
Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H.S. Torr, Timothy M. Hospedales Learning to Evaluate Image Captioning
Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge Belongie Learning to Find Good Correspondences
Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua Learning to Localize Sound Source in Visual Scenes
Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon Learning to Parse Wireframes in Images of Man-Made Environments
Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma Learning to Promote Saliency Detectors
Yu Zeng, Huchuan Lu, Lihe Zhang, Mengyang Feng, Ali Borji Learning to See in the Dark
Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun Learning to Segment Every Thing
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross Girshick Learning to Sketch with Shortcut Cycle Consistency
Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales Learning to Understand Image Blur
Shanghang Zhang, Xiaohui Shen, Zhe Lin, Radomír Měch, João P. Costeira, José M. F. Moura Left-Right Comparative Recurrent Model for Stereo Matching
Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
Yiping Chen, Jingkang Wang, Jonathan Li, Cewu Lu, Zhipeng Luo, Han Xue, Cheng Wang Light Field Intrinsics with a Deep Encoder-Decoder Network
Anna Alperovich, Ole Johannsen, Michael Strecke, Bastian Goldluecke LIME: Live Intrinsic Material Estimation
Abhimitra Meka, Maxim Maximov, Michael Zollhöfer, Avishek Chatterjee, Hans-Peter Seidel, Christian Richardt, Christian Theobalt Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Wayne Wu, Chen Qian, Shuo Yang, Quan Wang, Yici Cai, Qiang Zhou Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley, Timo Bremer Low-Shot Learning from Imaginary Data
Yu-Xiong Wang, Ross Girshick, Martial Hebert, Bharath Hariharan Low-Shot Learning with Large-Scale Diffusion
Matthijs Douze, Arthur Szlam, Bharath Hariharan, Hervé Jégou LSTM Pose Machines
Yue Luo, Jimmy Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin M3: Multimodal Memory Modelling for Video Captioning
Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan Manifold Learning in Quotient Spaces
Éloi Mehr, André Lieutier, Fernando Sanchez Bermudez, Vincent Guitteny, Nicolas Thome, Matthieu Cord MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam Matching Adversarial Networks
Gellért Máttyus, Raquel Urtasun MAttNet: Modular Attention Network for Referring Expression Comprehension
Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg MegDet: A Large Mini-Batch Object Detector
Chao Peng, Tete Xiao, Zeming Li, Yuning Jiang, Xiangyu Zhang, Kai Jia, Gang Yu, Jian Sun Mesoscopic Facial Geometry Inference Using Deep Neural Networks
Loc Huynh, Weikai Chen, Shunsuke Saito, Jun Xing, Koki Nagano, Andrew Jones, Paul Debevec, Hao Li Mining on Manifolds: Metric Learning Without Labels
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space
Tatsuya Yokota, Burak Erem, Seyhmus Guler, Simon K. Warfield, Hidekata Hontani MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen Modeling Facial Geometry Using Compositional VAEs
Timur Bagautdinov, Chenglei Wu, Jason Saragih, Pascal Fua, Yaser Sheikh Modifying Non-Local Variations Across Multiple Views
Tal Tlusty, Tomer Michaeli, Tali Dekel, Lihi Zelnik-Manor Modulated Convolutional Networks
Xiaodi Wang, Baochang Zhang, Ce Li, Rongrong Ji, Jungong Han, Xianbin Cao, Jianzhuang Liu MoNet: Deep Motion Exploitation for Video Object Segmentation
Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, Maojun Zhang MoNet: Moments Embedding Network
Mengran Gou, Fei Xiong, Octavia Camps, Mario Sznaier Monocular Relative Depth Perception with Web Stereo Data Supervision
Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Yang Xiao, Ruibo Li, Zhenbo Luo MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi Multi-Agent Diverse Generative Adversarial Networks
Arnab Ghosh, Viveka Kulharia, Vinay P. Namboodiri, Philip H.S. Torr, Puneet K. Dokania Multi-Content GAN for Few-Shot Font Style Transfer
Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell Multi-Cue Correlation Filters for Robust Visual Tracking
Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li 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 Multimodal Visual Concept Learning with Weakly Supervised Techniques
Giorgos Bouritsas, Petros Koutras, Athanasia Zlatintsi, Petros Maragos Multiple Granularity Group Interaction Prediction
Taiping Yao, Minsi Wang, Bingbing Ni, Huawei Wei, Xiaokang Yang Multispectral Image Intrinsic Decomposition via Subspace Constraint
Qian Huang, Weixin Zhu, Yang Zhao, Linsen Chen, Yao Wang, Tao Yue, Xun Cao MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses
Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Alessio Del Bue, Fabio Galasso, Marco Cristani NAG: Network for Adversary Generation
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu Natural and Effective Obfuscation by Head Inpainting
Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz Neural 3D Mesh Renderer
Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada Neural Baby Talk
Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh Neural Sign Language Translation
Necati Cihan Camgoz, Simon Hadfield, Oscar Koller, Hermann Ney, Richard Bowden 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 Non-Blind Deblurring: Handling Kernel Uncertainty with CNNs
Subeesh Vasu, Venkatesh Reddy Maligireddy, A. N. Rajagopalan Non-Local Neural Networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He Normalized Cut Loss for Weakly-Supervised CNN Segmentation
Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Boykov, Christopher Schroers Objects as Context for Detecting Their Semantic Parts
Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari Occlusion Aware Unsupervised Learning of Optical Flow
Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang, Wei Xu On the Duality Between Retinex and Image Dehazing
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío On the Importance of Label Quality for Semantic Segmentation
Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Frédo Durand Optimal Structured Light À La Carte
Parsa Mirdehghan, Wenzheng Chen, Kiriakos N. Kutulakos Optimizing Video Object Detection via a Scale-Time Lattice
Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin Partial Transfer Learning with Selective Adversarial Networks
Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan Path Aggregation Network for Instance Segmentation
Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia Perturbative Neural Networks
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides PhaseNet for Video Frame Interpolation
Simone Meyer, Abdelaziz Djelouah, Brian McWilliams, Alexander Sorkine-Hornung, Markus Gross, Christopher Schroers Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman Planar Shape Detection at Structural Scales
Hao Fang, Florent Lafarge, Mathieu Desbrun PlaneNet: Piece-Wise Planar Reconstruction from a Single RGB Image
Chen Liu, Jimei Yang, Duygu Ceylan, Ersin Yumer, Yasutaka Furukawa Pointwise Convolutional Neural Networks
Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung Polarimetric Dense Monocular SLAM
Luwei Yang, Feitong Tan, Ao Li, Zhaopeng Cui, Yasutaka Furukawa, Ping Tan Pose Transferrable Person Re-Identification
Jinxian Liu, Bingbing Ni, Yichao Yan, Peng Zhou, Shuo Cheng, Jianguo Hu Pose-Guided Photorealistic Face Rotation
Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun PoseTrack: A Benchmark for Human Pose Estimation and Tracking
Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov, Leonid Pishchulin, Anton Milan, Juergen Gall, Bernt Schiele PoTion: Pose MoTion Representation for Action Recognition
Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud, Cordelia Schmid Probabilistic Plant Modeling via Multi-View Image-to-Image Translation
Takahiro Isokane, Fumio Okura, Ayaka Ide, Yasuyuki Matsushita, Yasushi Yagi Pseudo Mask Augmented Object Detection
Xiangyun Zhao, Shuang Liang, Yichen Wei PU-Net: Point Cloud Upsampling Network
Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng Pyramid Stereo Matching Network
Jia-Ren Chang, Yong-Sheng Chen Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, Dmitry Kalenichenko Radially-Distorted Conjugate Translations
James Pritts, Zuzana Kukelova, Viktor Larsson, Ondřej Chum RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
Despoina Paschalidou, Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger Real-World Repetition Estimation by Div, Grad and Curl
Tom F. H. Runia, Cees G. M. Snoek, Arnold W. M. Smeulders Recurrent Residual Module for Fast Inference in Videos
Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu Referring Image Segmentation via Recurrent Refinement Networks
Ruiyu Li, Kaican Li, Yi-Chun Kuo, Michelle Shu, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia Referring Relationships
Ranjay Krishna, Ines Chami, Michael Bernstein, Li Fei-Fei Relation Networks for Object Detection
Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei Repulsion Loss: Detecting Pedestrians in a Crowd
Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, Chunhua Shen Residual Dense Network for Image Super-Resolution
Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu 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 Rethinking the Faster R-CNN Architecture for Temporal Action Localization
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar Revisiting Deep Intrinsic Image Decompositions
Qingnan Fan, Jiaolong Yang, Gang Hua, Baoquan Chen, David Wipf Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Filip Radenović, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum Revisiting Video Saliency: A Large-Scale Benchmark and a New Model
Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji Reward Learning from Narrated Demonstrations
Hsiao-Yu Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki RoadTracer: Automatic Extraction of Road Networks from Aerial Images
Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, David DeWitt Robust Physical-World Attacks on Deep Learning Visual Classification
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song Rotation Averaging and Strong Duality
Anders Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin Salient Object Detection Driven by Fixation Prediction
Wenguan Wang, Jianbing Shen, Xingping Dong, Ali Borji SBNet: Sparse Blocks Network for Fast Inference
Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun Scale-Recurrent Network for Deep Image Deblurring
Xin Tao, Hongyun Gao, Xiaoyong Shen, Jue Wang, Jiaya Jia Scale-Transferrable Object Detection
Peng Zhou, Bingbing Ni, Cong Geng, Jianguo Hu, Yi Xu ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner Self-Calibrating Polarising Radiometric Calibration
Daniel Teo, Boxin Shi, Yinqiang Zheng, Sai-Kit Yeung Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at over 250 Hz
Ayush Tewari, Michael Zollhöfer, Pablo Garrido, Florian Bernard, Hyeongwoo Kim, Patrick Pérez, Christian Theobalt Semantic Visual Localization
Johannes L. Schönberger, Marc Pollefeys, Andreas Geiger, Torsten Sattler Semi-Parametric Image Synthesis
Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun Separating Self-Expression and Visual Content in Hashtag Supervision
Andreas Veit, Maximilian Nickel, Serge Belongie, Laurens van der Maaten 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 Show Me a Story: Towards Coherent Neural Story Illustration
Hareesh Ravi, Lezi Wang, Carlos Muniz, Leonid Sigal, Dimitris Metaxas, Mubbasir Kapadia Single View Stereo Matching
Yue Luo, Jimmy Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, Liang Lin Single-Shot Object Detection with Enriched Semantics
Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille Single-Shot Refinement Neural Network for Object Detection
Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li Sketch-a-Classifier: Sketch-Based Photo Classifier Generation
Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales 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 Soccer on Your Tabletop
Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless, Steve Seitz Sparse, Smart Contours to Represent and Edit Images
Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz SSNet: Scale Selection Network for Online 3D Action Prediction
Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot Statistical Tomography of Microscopic Life
Aviad Levis, Yoav Y. Schechner, Ronen Talmon Stereoscopic Neural Style Transfer
Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua Structure Preserving Video Prediction
Jingwei Xu, Bingbing Ni, Zefan Li, Shuo Cheng, Xiaokang Yang Structured Set Matching Networks for One-Shot Part Labeling
Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi Structured Uncertainty Prediction Networks
Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson Surface Networks
Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna SurfConv: Bridging 3D and 2D Convolution for RGBD Images
Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler Synthesizing Images of Humans in Unseen Poses
Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John Guttag Tagging like Humans: Diverse and Distinct Image Annotation
Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, Siwei Lyu Tags2Parts: Discovering Semantic Regions from Shape Tags
Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri Tangent Convolutions for Dense Prediction in 3D
Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou Taskonomy: Disentangling Task Transfer Learning
Amir R. Zamir, Alexander Sax, William Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese Teaching Categories to Human Learners with Visual Explanations
Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu Tensorize, Factorize and Regularize: Robust Visual Relationship Learning
Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh Texture Mapping for 3D Reconstruction with RGB-D Sensor
Yanping Fu, Qingan Yan, Long Yang, Jie Liao, Chunxia Xiao TextureGAN: Controlling Deep Image Synthesis with Texture Patches
Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays 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 The Power of Ensembles for Active Learning in Image Classification
William H. Beluch, Tim Genewein, Andreas Nürnberger, Jan M. Köhler The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang Through-Wall Human Pose Estimation Using Radio Signals
Mingmin Zhao, Tianhong Li, Mohammad Abu Alsheikh, Yonglong Tian, Hang Zhao, Antonio Torralba, Dina Katabi Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo
Kenichiro Tanaka, Nobuhiro Ikeya, Tsuyoshi Takatani, Hiroyuki Kubo, Takuya Funatomi, Yasuhiro Mukaigawa Towards Dense Object Tracking in a 2D Honeybee Hive
Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev, Greg J. Stephens Towards Effective Low-Bitwidth Convolutional Neural Networks
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian Reid Towards Open-Set Identity Preserving Face Synthesis
Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, Gang Hua Towards Pose Invariant Face Recognition in the Wild
Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Karlekar Jayashree, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng Transductive Unbiased Embedding for Zero-Shot Learning
Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song Trapping Light for Time of Flight
Ruilin Xu, Mohit Gupta, Shree K. Nayar Triplet-Center Loss for Multi-View 3D Object Retrieval
Xinwei He, Yang Zhou, Zhichao Zhou, Song Bai, Xiang Bai Two-Step Quantization for Low-Bit Neural Networks
Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng Two-Stream Convolutional Networks for Dynamic Texture Synthesis
Matthew Tesfaldet, Marcus A. Brubaker, Konstantinos G. Derpanis Uncalibrated Photometric Stereo Under Natural Illumination
Zhipeng Mo, Boxin Shi, Feng Lu, Sai-Kit Yeung, Yasuyuki Matsushita Unsupervised Deep Generative Adversarial Hashing Network
Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng, Heng Huang Unsupervised Person Image Synthesis in Arbitrary Poses
Albert Pumarola, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer Unsupervised Training for 3D Morphable Model Regression
Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman Very Large-Scale Global SfM by Distributed Motion Averaging
Siyu Zhu, Runze Zhang, Lei Zhou, Tianwei Shen, Tian Fang, Ping Tan, Long Quan Video Based Reconstruction of 3D People Models
Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll Video Captioning via Hierarchical Reinforcement Learning
Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang Video Rain Streak Removal by Multiscale Convolutional Sparse Coding
Minghan Li, Qi Xie, Qian Zhao, Wei Wei, Shuhang Gu, Jing Tao, Deyu Meng Viewpoint-Aware Video Summarization
Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku, Tatsuya Harada VirtualHome: Simulating Household Activities via Programs
Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments
Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian Reid, Stephen Gould, Anton van den Hengel Visual Feature Attribution Using Wasserstein GANs
Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu Visual Grounding via Accumulated Attention
Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan Visual Question Answering with Memory-Augmented Networks
Chao Ma, Chunhua Shen, Anthony Dick, Qi Wu, Peng Wang, Anton van den Hengel, Ian Reid Visual Question Generation as Dual Task of Visual Question Answering
Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang, Ming Zhou Visual Question Reasoning on General Dependency Tree
Qingxing Cao, Xiaodan Liang, Bailing Li, Guanbin Li, Liang Lin 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 VITON: An Image-Based Virtual Try-on Network
Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis VizWiz Grand Challenge: Answering Visual Questions from Blind People
Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, Jeffrey P. Bigham Wasserstein Introspective Neural Networks
Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu Weakly Supervised Coupled Networks for Visual Sentiment Analysis
Jufeng Yang, Dongyu She, Yu-Kun Lai, Paul L. Rosin, Ming-Hsuan Yang Weakly Supervised Learning of Single-Cell Feature Embeddings
Juan C. Caicedo, Claire McQuin, Allen Goodman, Shantanu Singh, Anne E. Carpenter What Do Deep Networks like to See?
Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel What Have We Learned from Deep Representations for Action Recognition?
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman 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 Who Let the Dogs Out? Modeling Dog Behavior from Visual Data
Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi Wide Compression: Tensor Ring Nets
Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection
Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Timur Bagautdinov, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret Zero-Shot Kernel Learning
Hongguang Zhang, Piotr Koniusz Zero-Shot Sketch-Image Hashing
Yuming Shen, Li Liu, Fumin Shen, Ling Shao Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy Ren, Ruichao Xiao, Jin Zeng, Liang Lin