url: =ICCV 2019 Awards\nBest paper award (Marr prize)\n"SinGAN: Learning a Generative Model from a Single Natural Image" by Tamar Rott Shaham, Tali Dekel, Tomer Michaeli [Video]\n"PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility" by Timothy Duff, Kathlén Kohn, Anton Leykin, Tomas Pajdla [Video]\n"Asynchronous Single-Photon 3D Imaging" by Anant Gupta, Atul Ingle, Mohit Gupta [Video]\n"Specifying Object Attributes and Relations in Interactive Scene Generation" by Oron Ashual, Lior Wolf [Video]\n"Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation" by Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin [Video]\n"Deep Hough Voting for 3D Object Detection in Point Clouds" by Charles R. Qi, Or Litany, Kaiming He, Leonidas Guibas [Video]\n"Unsupervised Deep Learning for Structured Shape Matching" by Jean-Michel Roufosse, Abhishek Sharma, Maks Ovsjanikov [Video]\n"Gated2Depth: Real-time Dense Lidar from Gated Images" by Tobias Gruber, Frank Julca-Aguilar, Mario Bijelic, Felix Heide [Video]\n"Local Aggregation for Unsupervised Learning of Visual Embeddings" by Chengxu Zhuang, Alex Zhai, Daniel Yamins [Video]\n"Habitat: A Platform for Embodied AI Research" by Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana M. Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra [Video]\n"Robust Change Captioning" by Dong Huk Park, Trevor Darrell, Anna Rohrbach [Video]\nBernt Schiele (Chair)\nPAMI TC Awards at ICCV 2019\n"Building Rome in a Day" by Sameer Agarwal, Noah Snavely, Ian Simon, Steven M. Seitz, Richard Szeliski\n"Attribute and Simile Classifiers for Face Verification" by Neeraj Kumar, Alexander C. Berg, Peter N. Belhumeur, Shree K. Nayar\n"Labeled Faces in the Wild (LFW)" by Erik Learned-Miller, Gary B. Huang, Tamara Berg and team\nTuesday, October 29, 2019, 1030–1300 Poster 1.1 (Hall B)\nSession Title/Poster Group Poster # Presentation Time Title Author(s) Paper ID\nDeep Learning 1 10:30 FaceForensics++: Learning to Detect Manipulated Facial Images Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner 4159\n2 10:30 DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, Shiyu Song 3735\n3 10:30 Shape Reconstruction Using Differentiable Projections and Deep Priors Matheus Gadelha, Rui Wang, Subhransu Maji 3627\n4 10:30 Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl 4075\n5 10:30 SANet: Scene Agnostic Network for Camera Localization Luwei Yang, Ziqian Bai, Chengzhou Tang, Honghua Li, Yasutaka Furukawa, Ping Tan 3140\n6 10:30 Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning Pedro Hermosilla, Tobias Ritschel, Timo Ropinski 5698\n7 10:30 Hierarchical Self-Attention Network for Action Localization in Videos Rizard Renanda Adhi Pramono, Yie-Tarng Chen, Wen-Hsien Fang 4600\n8 10:30 Goal-Driven Sequential Data Abstraction Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song 2421\n9 10:30 Jointly Aligning Millions of Images With Deep Penalised Reconstruction Congealing Roberto Annunziata, Christos Sagonas, Jacques Cali 4672\n10 10:30 Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation Seungmin Lee, Dongwan Kim, Namil Kim, Seong-Gyun Jeong 3788\n11 10:30 NLNL: Negative Learning for Noisy Labels Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim 3795\n12 10:30 Adversarial Robustness vs. Model Compression, or Both? Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin 4102\n13 10:30 On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin 6428\n14 10:30 DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras, Roy Shilkrot 3243\n15 10:30 Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble Xu Zou, Sheng Zhong, Luxin Yan, Xiangyun Zhao, Jiahuan Zhou, Ying Wu 84\n16 10:30 Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement Zitong Yu, Wei Peng, Xiaobai Li, Xiaopeng Hong, Guoying Zhao 456\n17 10:30 Face-to-Parameter Translation for Game Character Auto-Creation Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu 2957\n18 10:30 Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman 5128\n19 10:30 StructureFlow: Image Inpainting via Structure-Aware Appearance Flow Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li 407\n20 10:30 Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang 184\n21 10:30 Generative Adversarial Training for Weakly Supervised Cloud Matting Zhengxia Zou, Wenyuan Li, Tianyang Shi, Zhenwei Shi, Jieping Ye 5164\n22 10:30 PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang 6414\n23 10:30 Generative Adversarial Networks for Extreme Learned Image Compression Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool 2939\n24 10:30 Instance-Guided Context Rendering for Cross-Domain Person Re-Identification Yanbei Chen, Xiatian Zhu, Shaogang Gong 102\n25 10:30 What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance Mahmoud Afifi, Michael S. Brown 105\n26 10:30 Beyond Cartesian Representations for Local Descriptors Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls 2277\n27 10:30 Distilling Knowledge From a Deep Pose Regressor Network Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Yasin Almalioglu, Andrew Markham, Niki Trigoni 5088\n28 10:30 Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression Kyung-Rae Kim, Whan Choi, Yeong Jun Koh, Seong-Gyun Jeong, Chang-Su Kim 6968\n29 10:30 Vision-Infused Deep Audio Inpainting Hang Zhou, Ziwei Liu, Xudong Xu, Ping Luo, Xiaogang Wang 754\n30 10:30 HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision Zhen Dong, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer 6519\n31 10:30 Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee 6668\n32 10:30 Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee 3510\n33 10:30 Symmetric Cross Entropy for Robust Learning With Noisy Labels Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey 2580\n34 10:30 Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training Avinash Ravichandran, Rahul Bhotika, Stefano Soatto 3571\n35 10:30 Dual Directed Capsule Network for Very Low Resolution Image Recognition Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa 1067\n36 10:30 Recognizing Part Attributes With Insufficient Data Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu 49\n37 10:30 USIP: Unsupervised Stable Interest Point Detection From 3D Point Clouds Jiaxin Li, Gim Hee Lee 5548\n38 10:30 Mixed High-Order Attention Network for Person Re-Identification Binghui Chen, Weihong Deng, Jiani Hu 2040\n39 10:30 Budget-Aware Adapters for Multi-Domain Learning Rodrigo Berriel, Stéphane Lathuillère, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci 4541\n40 10:30 Compact Trilinear Interaction for Visual Question Answering Tuong Do, Thanh-Toan Do, Huy Tran, Erman Tjiputra, Quang D. Tran 2177\n41 10:30 Towards Latent Attribute Discovery From Triplet Similarities Ishan Nigam, Pavel Tokmakov, Deva Ramanan 940\n42 10:30 GeoStyle: Discovering Fashion Trends and Events Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala 5348\n43 10:30 Towards Adversarially Robust Object Detection Haichao Zhang, Jianyu Wang 2155\n44 10:30 Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang 157\nRecognition 45 10:30 Automatic and Robust Skull Registration Based on Discrete Uniformization Junli Zhao, Xin Qi, Chengfeng Wen, Na Lei, Xianfeng Gu 6829\n46 10:30 Few-Shot Image Recognition With Knowledge Transfer Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi, Jinhui Tang 965\n47 10:30 Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen 3496\n48 10:30 Vehicle Re-Identification in Aerial Imagery: Dataset and Approach Peng Wang, Bingliang Jiao, Lu Yang, Yifei Yang, Shizhou Zhang, Wei Wei, Yanning Zhang 2043\n49 10:30 Bridging the Domain Gap for Ground-to-Aerial Image Matching Krishna Regmi, Mubarak Shah 3768\n50 10:30 A Robust Learning Approach to Domain Adaptive Object Detection Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready 1356\n51 10:30 Graph-Based Object Classification for Neuromorphic Vision Sensing Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos 5892\n52 10:30 Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving Jiwoong Choi, Dayoung Chun, Hyun Kim, Hyuk-Jae Lee 4602\n53 10:30 Sharpen Focus: Learning With Attention Separability and Consistency Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas 1215\n54 10:30 Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin 4293\n55 10:30 DeceptionNet: Network-Driven Domain Randomization Sergey Zakharov, Wadim Kehl, Slobodan Ilic 3378\n56 10:30 Pose-Guided Feature Alignment for Occluded Person Re-Identification Jiaxu Miao, Yu Wu, Ping Liu, Yuhang Ding, Yi Yang 504\n57 10:30 Robust Person Re-Identification by Modelling Feature Uncertainty Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang 1657\n58 10:30 Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification Arulkumar Subramaniam, Athira Nambiar, Anurag Mittal 3518\n59 10:30 A Delay Metric for Video Object Detection: What Average Precision Fails to Tell Huizi Mao, Xiaodong Yang, William J. Dally 3572\n60 10:30 IL2M: Class Incremental Learning With Dual Memory Eden Belouadah, Adrian Popescu 6021\n61 10:30 Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang 899\nSegmentation, Grouping, & Shape 62 10:30 Asymmetric Non-Local Neural Networks for Semantic Segmentation Zhen Zhu, Mengde Xu, Song Bai, Tengteng Huang, Xiang Bai 673\n63 10:30 CCNet: Criss-Cross Attention for Semantic Segmentation Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, Wenyu Liu 1960\n64 10:30 Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function Shousheng Luo, Xue-Cheng Tai, Limei Huo, Yang Wang, Roland Glowinski 5935\n65 10:30 Surface Networks via General Covers Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman 4047\n66 10:30 SSAP: Single-Shot Instance Segmentation With Affinity Pyramid Naiyu Gao, Yanhu Shan, Yupei Wang, Xin Zhao, Yinan Yu, Ming Yang, Kaiqi Huang 2385\n67 10:30 Learning Propagation for Arbitrarily-Structured Data Sifei Liu, Xueting Li, Varun Jampani, Shalini De Mello, Jan Kautz 1882\n68 10:30 MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input Jun Hao Liew, Scott Cohen, Brian Price, Long Mai, Sim-Heng Ong, Jiashi Feng 3166\n69 10:30 Robust Motion Segmentation From Pairwise Matches Federica Arrigoni, Tomas Pajdla 2127\n70 10:30 InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting Hao-Shu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yong-Lu Li, Cewu Lu 2259\n71 10:30 Attention Bridging Network for Knowledge Transfer Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu 2717\nFace & Body 72 10:30 Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network Mei Wang, Weihong Deng, Jiani Hu, Xunqiang Tao, Yaohai Huang 2792\n73 10:30 Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition Jingxiao Zheng, Ruichi Yu, Jun-Cheng Chen, Boyu Lu, Carlos D. Castillo, Rama Chellappa 1647\n74 10:30 Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading Xingxuan Zhang, Feng Cheng, Shilin Wang 1501\n75 10:30 Occlusion-Aware Networks for 3D Human Pose Estimation in Video Yu Cheng, Bo Yang, Bo Wang, Wending Yan, Robby T. Tan 2284\n76 10:30 Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data Yong Zhang, Haiyong Jiang, Baoyuan Wu, Yanbo Fan, Qiang Ji 1180\n77 10:30 Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning Chaoyang Wang, Chen Kong, Simon Lucey 6608\n78 10:30 MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence Yuan Yao, Yasamin Jafarian, Hyun Soo Park 4171\n79 10:30 Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis Gilwoo Lee, Zhiwei Deng, Shugao Ma, Takaaki Shiratori, Siddhartha S. Srinivasa, Yaser Sheikh 1390\n80 10:30 Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network Lingxue Song, Dihong Gong, Zhifeng Li, Changsong Liu, Wei Liu 2865\n81 10:30 Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Xuanyi Dong, Yi Yang 1020\n82 10:30 A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation From a Single Depth Image Fu Xiong, Boshen Zhang, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou, Junsong Yuan 3060\n83 10:30 TexturePose: Supervising Human Mesh Estimation With Texture Consistency Georgios Pavlakos, Nikos Kolotouros, Kostas Daniilidis 6512\n84 10:30 FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan Russell, Max Argus, Thomas Brox 5626\n85 10:30 Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles Nitin Saini, Eric Price, Rahul Tallamraju, Raffi Enficiaud, Roman Ludwig, Igor Martinovic, Aamir Ahmad, Michael J. Black 5116\n86 10:30 Aggregation via Separation: Boosting Facial Landmark Detector With Semi-Supervised Style Translation Shengju Qian, Keqiang Sun, Wayne Wu, Chen Qian, Jiaya Jia 1870\nAction & Video 87 10:30 Toyota Smarthome: Real-World Activities of Daily Living Srijan Das, Rui Dai, Michal Koperski, Luca Minciullo, Lorenzo Garattoni, Francois Bremond, Gianpiero Francesca 1959\n88 10:30 Relation Parsing Neural Network for Human-Object Interaction Detection Penghao Zhou, Mingmin Chi 1592\n89 10:30 DistInit: Learning Video Representations Without a Single Labeled Video Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan 1823\n90 10:30 Zero-Shot Anticipation for Instructional Activities Fadime Sener, Angela Yao 902\n91 10:30 Making the Invisible Visible: Action Recognition Through Walls and Occlusions Tianhong Li, Lijie Fan, Mingmin Zhao, Yingcheng Liu, Dina Katabi 3592\n92 10:30 Recursive Visual Sound Separation Using Minus-Plus Net Xudong Xu, Bo Dai, Dahua Lin 3035\nMotion & Tracking 93 10:30 Unsupervised Video Interpolation Using Cycle Consistency Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro 3636\n94 10:30 Deformable Surface Tracking by Graph Matching Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Xiaohui Hou 1113\n95 10:30 Deep Meta Learning for Real-Time Target-Aware Visual Tracking Janghoon Choi, Junseok Kwon, Kyoung Mu Lee 4309\n96 10:30 Looking to Relations for Future Trajectory Forecast Chiho Choi, Behzad Dariush 1342\n97 10:30 Anchor Diffusion for Unsupervised Video Object Segmentation Zhao Yang, Qiang Wang, Luca Bertinetto, Weiming Hu, Song Bai, Philip H. S. Torr 1343\n98 10:30 Tracking Without Bells and Whistles Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé 2441\n99 10:30 Self-Supervised Moving Vehicle Tracking With Stereo Sound Chuang Gan, Hang Zhao, Peihao Chen, David Cox, Antonio Torralba 1083\nScene Understanding 100 10:30 Perspective-Guided Convolution Networks for Crowd Counting Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding 1032\n101 10:30 End-to-End Wireframe Parsing Yichao Zhou, Haozhi Qi, Yi Ma 1586\n102 10:30 Incremental Class Discovery for Semantic Segmentation With RGBD Sensing Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito, Kris Kitani 4851\n103 10:30 SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation Liang Du, Jingang Tan, Hongye Yang, Jianfeng Feng, Xiangyang Xue, Qibao Zheng, Xiaoqing Ye, Xiaolin Zhang 176\n104 10:30 SpaceNet MVOI: A Multi-View Overhead Imagery Dataset Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Sean McPherson, Jacob Shermeyer, Varun Kumar, Hanlin Tang 3068\n105 10:30 Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Vishwanath A. Sindagi, Vishal M. Patel 1098\n106 10:30 Learning Lightweight Lane Detection CNNs by Self Attention Distillation Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy 251\n107 10:30 SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra 3164\n3D From Multiview & Sensors 108 10:30 Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization Wentao Cheng, Weisi Lin, Kan Chen, Xinfeng Zhang 6740\n109 10:30 Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation Chao Wen, Yinda Zhang, Zhuwen Li, Yanwei Fu 1656\n110 10:30 A Differential Volumetric Approach to Multi-View Photometric Stereo Fotios Logothetis, Roberto Mecca, Roberto Cipolla 5099\n111 10:30 Revisiting Radial Distortion Absolute Pose Viktor Larsson, Torsten Sattler, Zuzana Kukelova, Marc Pollefeys 4766\n112 10:30 Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging Tobias Würfl, André Aichert, Nicole Maaß, Frank Dennerlein, Andreas Maier 5105\n113 10:30 QUARCH: A New Quasi-Affine Reconstruction Stratum From Vague Relative Camera Orientation Knowledge Devesh Adlakha, Adlane Habed, Fabio Morbidi, Cédric Demonceaux, Michel de Mathelin 4811\n114 10:30 Homography From Two Orientation- and Scale-Covariant Features Dániel Baráth, Zuzana Kukelova 2962\nApplications. Medical, & Robotics 115 10:30 Hiding Video in Audio via Reversible Generative Models Hyukryul Yang, Hao Ouyang, Vladlen Koltun, Qifeng Chen 2545\n116 10:30 GSLAM: A General SLAM Framework and Benchmark Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han 4414\n117 10:30 Elaborate Monocular Point and Line SLAM With Robust Initialization Sang Jun Lee, Sung Soo Hwang 3321\n118 10:30 Adaptive Density Map Generation for Crowd Counting Jia Wan, Antoni Chan 2578\n119 10:30 Attention-Aware Polarity Sensitive Embedding for Affective Image Retrieval Xingxu Yao, Dongyu She, Sicheng Zhao, Jie Liang, Yu-Kun Lai, Jufeng Yang 4614\n120 10:30 Zero-Shot Emotion Recognition via Affective Structural Embedding Chi Zhan, Dongyu She, Sicheng Zhao, Ming-Ming Cheng, Jufeng Yang 4618\n121 10:30 FW-GAN: Flow-Navigated Warping GAN for Video Virtual Try-On Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bowen Wu, Bing-Cheng Chen, Jian Yin 1624\n122 10:30 Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman 4121\n123 10:30 Attention-Based Autism Spectrum Disorder Screening With Privileged Modality Shi Chen, Qi Zhao 1785\n124 10:30 Image Aesthetic Assessment Based on Pairwise Comparison  A Unified Approach to Score Regression, Binary Classification, and Personalization Jun-Tae Lee, Chang-Su Kim 2448\n125 10:30 Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang 2556\n126 10:30 Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search Adnan Siraj Rakin, Zhezhi He, Deliang Fan 6178\n127 10:30 Employing Deep Part-Object Relationships for Salient Object Detection Yi Liu, Qiang Zhang, Dingwen Zhang, Jungong Han 5649\n128 10:30 Self-Supervised Deep Depth Denoising Vladimiros Sterzentsenko, Leonidas Saroglou, Anargyros Chatzitofis, Spyridon Thermos, Nikolaos Zioulis, Alexandros Doumanoglou, Dimitrios Zarpalas, Petros Daras 6215\n129 10:30 Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky 2392\n130 10:30 Layout-Induced Video Representation for Recognizing Agent-in-Place Actions Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry S. Davis 1859\n131 10:30 Anomaly Detection in Video Sequence With Appearance-Motion Correspondence Trong-Nguyen Nguyen, Jean Meunier 5180\nTuesday, October 29, 2019, 1330–1530 Oral 1.2A (Hall D1) Judy Hoffman (Facebook AI Research; Georgia Tech), Min Sun (National Tsing Hua Univ.)\nArchitectures, Multi-Task Learning, Domain Adaptation 1 13:30 Exploring Randomly Wired Neural Networks for Image Recognition [Video] Saining Xie, Alexander Kirillov, Ross Girshick, Kaiming He 634\n2 13:35 Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation [Video] Xin Chen, Lingxi Xie, Jun Wu, Qi Tian 2397\n3 13:40 Multinomial Distribution Learning for Effective Neural Architecture Search [Video] Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian 1865\n4 13:48 Searching for MobileNetV3 [Video] Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam 5162\n5 13:53 Data-Free Quantization Through Weight Equalization and Bias Correction [Video] Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling 6174\n6 13:58 A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays [Video] Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek, Walterio Mayol-Cuevas 5201\n7 14:06 Knowledge Distillation via Route Constrained Optimization [Video] Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu 1252\n8 14:11 Distillation-Based Training for Multi-Exit Architectures [Video] Mary Phuong, Christoph H. Lampert 3548\n9 14:16 Similarity-Preserving Knowledge Distillation [Video] Frederick Tung, Greg Mori 5161\n10 14:24 Many Task Learning With Task Routing [Video] Gjorgji Strezoski, Nanne van Noord, Marcel Worring 1330\n11 14:29 Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels [Video] Felix J.S. Bragman, Ryutaro Tanno, Sebastien Ourselin, Daniel C. Alexander, Jorge Cardoso 3436\n12 14:34 Transferability and Hardness of Supervised Classification Tasks [Video] Anh T. Tran, Cuong V. Nguyen, Tal Hassner 6640\n13 14:42 Moment Matching for Multi-Source Domain Adaptation [Video] Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang 4125\n14 14:47 Unsupervised Domain Adaptation via Regularized Conditional Alignment [Video] Safa Cicek, Stefano Soatto 4113\n15 14:52 Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation [Video] Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin 959\n16 15:00 UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation [Video] Jogendra Nath Kundu, Nishank Lakkakula, R. Venkatesh Babu 2419\n17 15:05 Episodic Training for Domain Generalization [Video] Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales 1488\n18 15:10 Domain Adaptation for Structured Output via Discriminative Patch Representations [Video] Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker 609\n19 15:18 Semi-Supervised Learning by Augmented Distribution Alignment [Video] Qin Wang, Wen Li, Luc Van Gool 3523\n20 15:23 S4L: Self-Supervised Semi-Supervised Learning [Video] Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov, Lucas Beyer 4757\nTuesday, October 29, 2019, 1330–1530 Oral 1.2B (Hall D2) Ko Nishino (Kyoto Univ.), Yong Jae Lee (Univ. of California, Davis)\nMulti-View Geometry, 3D Scene Understanding 21 13:30 Privacy Preserving Image Queries for Camera Localization [Video] Pablo Speciale, Johannes L. Schönberger, Sudipta N. Sinha, Marc Pollefeys 3611\n22 13:35 Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty [Video] Songyou Peng, Peter Sturm 3435\n23 13:40 Gated2Depth: Real-Time Dense Lidar From Gated Images [Video] Tobias Gruber, Frank Julca-Aguilar, Mario Bijelic, Felix Heide 3718\n24 13:48 X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion [Video] Andrea Nicastro, Ronald Clark, Stefan Leutenegger 3933\n25 13:53 Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo [Video] Stepan Tulyakov, Francois Fleuret, Martin Kiefel, Peter Gehler, Michael Hirsch 4599\n26 13:58 Point-Based Multi-View Stereo Network [Video] Rui Chen, Songfang Han, Jing Xu, Hao Su 3151\n27 14:06 Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction [Video] Xiangyu Xu, Enrique Dunn 981\n28 14:11 Deep Non-Rigid Structure From Motion [Video] Chen Kong, Simon Lucey 3127\n29 14:16 Equivariant Multi-View Networks [Video] Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis 5370\n30 14:24 Interpolated Convolutional Networks for 3D Point Cloud Understanding [Video] Jiageng Mao, Xiaogang Wang, Hongsheng Li 2615\n31 14:29 Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data [Video] Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Thanh Nguyen, Sai-Kit Yeung 2353\n32 14:34 PointCloud Saliency Maps [Video] Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, Kui Ren 2290\n33 14:42 ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics [Video] Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung 582\n34 14:47 Unsupervised Deep Learning for Structured Shape Matching [Video] Jean-Michel Roufosse, Abhishek Sharma, Maks Ovsjanikov 2437\n35 14:52 Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration [Video] Nadav Dym, Shahar Ziv Kovalsky 2303\n36 15:00 Consensus Maximization Tree Search Revisited [Video] Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun 4168\n37 15:05 Quasi-Globally Optimal and Efficient Vanishing Point Estimation in Manhattan World [Video] Haoang Li, Ji Zhao, Jean-Charles Bazin, Wen Chen, Zhe Liu, Yun-Hui Liu 4865\n38 15:10 An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction [Video] Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong 3379\n39 15:18 A Quaternion-Based Certifiably Optimal Solution to the Wahba Problem With Outliers [Video] Heng Yang, Luca Carlone 3476\n40 15:23 PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility [Video] Timothy Duff, Kathlén Kohn, Anton Leykin, Tomas Pajdla 5582\nTuesday, October 29, 2019, 1530–1800 Poster 1.2 (Hall B)\nDeep Learning 41 15:30 Variational Few-Shot Learning Jian Zhang, Chenglong Zhao, Bingbing Ni, Minghao Xu, Xiaokang Yang 1006\n42 15:30 Generative Adversarial Minority Oversampling Sankha Subhra Mullick, Shounak Datta, Swagatam Das 2963\n43 15:30 Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel 3198\n44 15:30 Topological Map Extraction From Overhead Images Zuoyue Li, Jan Dirk Wegner, Aurélien Lucchi 3034\n45 15:30 Exploiting Temporal Consistency for Real-Time Video Depth Estimation Haokui Zhang, Chunhua Shen, Ying Li, Yuanzhouhan Cao, Yu Liu, Youliang Yan 1457\n46 15:30 The Sound of Motions Hang Zhao, Chuang Gan, Wei-Chiu Ma, Antonio Torralba 2561\n47 15:30 SC-FEGAN: Face Editing Generative Adversarial Network With User’s Sketch and Color Youngjoo Jo, Jongyoul Park 1667\n48 15:30 Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun 6385\n49 15:30 Order-Aware Generative Modeling Using the 3D-Craft Dataset Zhuoyuan Chen, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Haonan Yu, Jonathan Gray, Kavya Srinet, Haoqi Fan, Jerry Ma, Charles R. Qi, Shubham Tulsiani, Arthur Szlam, C. Lawrence Zitnick 6532\n50 15:30 Crowd Counting With Deep Structured Scale Integration Network Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin 2862\n51 15:30 Bidirectional One-Shot Unsupervised Domain Mapping Tomer Cohen, Lior Wolf 2633\n52 15:30 Evolving Space-Time Neural Architectures for Videos AJ Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo 3505\n53 15:30 Universally Slimmable Networks and Improved Training Techniques Jiahui Yu, Thomas S. Huang 904\n54 15:30 AutoDispNet: Improving Disparity Estimation With AutoML Tonmoy Saikia, Yassine Marrakchi, Arber Zela, Frank Hutter, Thomas Brox 4901\n55 15:30 Deep Meta Functionals for Shape Representation Gidi Littwin, Lior Wolf 2637\n56 15:30 Differentiable Kernel Evolution Yu Liu, Jihao Liu, Ailing Zeng, Xiaogang Wang 3361\n57 15:30 Batch Weight for Domain Adaptation With Mass Shift Mikolaj Bińkowski, Devon Hjelm, Aaron Courville 6579\n58 15:30 SRM: A Style-Based Recalibration Module for Convolutional Neural Networks HyunJae Lee, Hyo-Eun Kim, Hyeonseob Nam 3857\n59 15:30 Switchable Whitening for Deep Representation Learning Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, Ping Luo 382\n60 15:30 Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz, Jakob Verbeek 4085\n61 15:30 On Network Design Spaces for Visual Recognition Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár 2551\n62 15:30 Improved Techniques for Training Adaptive Deep Networks Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang 5797\n63 15:30 Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? Yunyang Xiong, Ronak Mehta, Vikas Singh 3772\n64 15:30 ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han 5264\n65 15:30 A Comprehensive Overhaul of Feature Distillation Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi 3700\nRecognition 66 15:30 Transferable Semi-Supervised 3D Object Detection From RGB-D Data Yew Siang Tang, Gim Hee Lee 1844\n67 15:30 DPOD: 6D Pose Object Detector and Refiner Sergey Zakharov, Ivan Shugurov, Slobodan Ilic 3375\n68 15:30 STD: Sparse-to-Dense 3D Object Detector for Point Cloud Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia 2501\n69 15:30 DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense Hang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou, Nenghai Yu 4560\n70 15:30 Learning Rich Features at High-Speed for Single-Shot Object Detection Tiancai Wang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao 5011\n71 15:30 Detecting Unseen Visual Relations Using Analogies Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic 2531\n72 15:30 Disentangling Monocular 3D Object Detection Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Manuel López-Antequera, Peter Kontschieder 3921\n73 15:30 STM: SpatioTemporal and Motion Encoding for Action Recognition Boyuan Jiang, MengMeng Wang, Weihao Gan, Wei Wu, Junjie Yan 3832\n74 15:30 Dynamic Context Correspondence Network for Semantic Alignment Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, Xuming He 4434\n75 15:30 Fooling Network Interpretation in Image Classification Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash 5129\n76 15:30 Unconstrained Foreground Object Search Yinan Zhao, Brian Price, Scott Cohen, Danna Gurari 1855\n77 15:30 Embodied Amodal Recognition: Learning to Move to Perceive Objects Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra 320\n78 15:30 SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition Kaiyu Yang, Olga Russakovsky, Jia Deng 912\n79 15:30 TensorMask: A Foundation for Dense Object Segmentation Xinlei Chen, Ross Girshick, Kaiming He, Piotr Dollár 669\n80 15:30 Integral Object Mining via Online Attention Accumulation Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hong-Kai Xiong 2481\nSegmentation, Grouping, & Shape 81 15:30 Accelerated Gravitational Point Set Alignment With Altered Physical Laws Vladislav Golyanik, Christian Theobalt, Didier Stricker 3620\n82 15:30 Domain Adaptation for Semantic Segmentation With Maximum Squares Loss Minghao Chen, Hongyang Xue, Deng Cai 4649\n83 15:30 Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong 2690\n84 15:30 Semi-Supervised Skin Detection by Network With Mutual Guidance Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang 3172\n85 15:30 ACE: Adapting to Changing Environments for Semantic Segmentation Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis 1860\n86 15:30 Efficient Segmentation: Learning Downsampling Near Semantic Boundaries Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam Tsai, Fei Yang, Yuri Boykov 668\n87 15:30 Recurrent U-Net for Resource-Constrained Segmentation Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann 845\n88 15:30 Detecting the Unexpected via Image Resynthesis Krzysztof Lis, Krishna Nakka, Pascal Fua, Mathieu Salzmann 4794\n3D From Single View & RGBD 89 15:30 Self-Supervised Monocular Depth Hints Jamie Watson, Michael Firman, Gabriel J. Brostow, Daniyar Turmukhambetov 6191\n90 15:30 3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes 759\n91 15:30 How Do Neural Networks See Depth in Single Images? Tom van Dijk, Guido de Croon 4576\n92 15:30 On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos Zhi Li, Xuan Wang, Fei Wang, Peilin Jiang 1394\n93 15:30 Canonical Surface Mapping via Geometric Cycle Consistency Nilesh Kulkarni, Abhinav Gupta, Shubham Tulsiani 3758\n94 15:30 GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild Alexander Grabner, Peter M. Roth, Vincent Lepetit 1919\nFace & Body 95 15:30 Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images Valentin Gabeur, Jean-Sébastien Franco, Xavier Martin, Cordelia Schmid, Grégory Rogez 5728\n96 15:30 3DPeople: Modeling the Geometry of Dressed Humans Albert Pumarola, Jordi Sanchez-Riera, Gary P. T. Choi, Alberto Sanfeliu, Francesc Moreno-Noguer 5869\n97 15:30 Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop Nikos Kolotouros, Georgios Pavlakos, Michael J. Black, Kostas Daniilidis 6602\n98 15:30 Optimizing Network Structure for 3D Human Pose Estimation Hai Ci, Chunyu Wang, Xiaoxuan Ma, Yizhou Wang 3717\n99 15:30 Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, Nadia Magnenat Thalmann 1881\n100 15:30 Resolving 3D Human Pose Ambiguities With 3D Scene Constraints Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, Michael J. Black 2115\n101 15:30 Tex2Shape: Detailed Full Human Body Geometry From a Single Image Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor 1288\n102 15:30 PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, Hao Li 3540\n103 15:30 DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction Xiaoxing Zeng, Xiaojiang Peng, Yu Qiao 5519\n104 15:30 Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking Saurabh Sharma, Pavan Teja Varigonda, Prashast Bindal, Abhishek Sharma, Arjun Jain 5051\n105 15:30 Aligning Latent Spaces for 3D Hand Pose Estimation Linlin Yang, Shile Li, Dongheui Lee, Angela Yao 4946\n106 15:30 HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu 4275\n107 15:30 End-to-End Hand Mesh Recovery From a Monocular RGB Image Xiong Zhang, Qiang Li, Hong Mo, Wenbo Zhang, Wen Zheng 4647\nMotion & Tracking 108 15:30 Robust Multi-Modality Multi-Object Tracking Wenwei Zhang, Hui Zhou, Shuyang Sun, Zhe Wang, Jianping Shi, Chen Change Loy 285\n109 15:30 The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs Boris Ivanovic, Marco Pavone 1011\n110 15:30 ‘Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-Term Tracking Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang 1917\n111 15:30 TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection Kyle Min, Jason J. Corso 2157\n112 15:30 Attacking Optical Flow Anurag Ranjan, Joel Janai, Andreas Geiger, Michael J. Black 496\nComputational Photography & Graphics 113 15:30 Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance From Motion Chunyu Li, Yusuke Monno, Hironori Hidaka, Masatoshi Okutomi 2101\n114 15:30 Mop Moiré Patterns Using MopNet Bin He, Ce Wang, Boxin Shi, Ling-Yu Duan 2272\n115 15:30 Kernel Modeling Super-Resolution on Real Low-Resolution Images Ruofan Zhou, Sabine Süsstrunk 3508\n116 15:30 Learning to Jointly Generate and Separate Reflections Daiqian Ma, Renjie Wan, Boxin Shi, Alex C. Kot, Ling-Yu Duan 767\n117 15:30 Deep Multi-Model Fusion for Single-Image Dehazing Zijun Deng, Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Qing Zhang, Jing Qin, Pheng-Ann Heng 2339\n118 15:30 Deep Learning for Seeing Through Window With Raindrops Yuhui Quan, Shijie Deng, Yixin Chen, Hui Ji 3676\n119 15:30 Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data Xiaowei Hu, Yitong Jiang, Chi-Wing Fu, Pheng-Ann Heng 2609\nLow-Level Vision & Optimization 120 15:30 Spatio-Temporal Filter Adaptive Network for Video Deblurring Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, Wangmeng Zuo, Jimmy Ren 1160\n121 15:30 Learning Deep Priors for Image Dehazing Yang Liu, Jinshan Pan, Jimmy Ren, Zhixun Su 3339\n122 15:30 JPEG Artifacts Reduction via Deep Convolutional Sparse Coding Xueyang Fu, Zheng-Jun Zha, Feng Wu, Xinghao Ding, John Paisley 1942\n123 15:30 Self-Guided Network for Fast Image Denoising Shuhang Gu, Yawei Li, Luc Van Gool, Radu Timofte 4910\n124 15:30 Non-Local Intrinsic Decomposition With Near-Infrared Priors Ziang Cheng, Yinqiang Zheng, Shaodi You, Imari Sato 756\nScene Understanding 125 15:30 VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Martin Engilberge 5131\n126 15:30 Rescan: Inductive Instance Segmentation for Indoor RGBD Scans Maciej Halber, Yifei Shi, Kai Xu, Thomas Funkhouser 2289\n127 15:30 End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans Armen Avetisyan, Angela Dai, Matthias Nießner 1933\n128 15:30 Making History Matter: History-Advantage Sequence Training for Visual Dialog Tianhao Yang, Zheng-Jun Zha, Hanwang Zhang 5927\n129 15:30 Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization Liu Liu, Hongdong Li, Yuchao Dai 2795\n130 15:30 Scene Graph Prediction With Limited Labels Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael Bernstein, Christopher Ré, Li Fei-Fei 3739\nLanguage & Reasoning 131 15:30 Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded Ramprasaath R. Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry Heck, Dhruv Batra, Devi Parikh 706\n132 15:30 Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran 6175\n133 15:30 Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Dechao Meng, Qingming Huang 742\n134 15:30 Hierarchy Parsing for Image Captioning Ting Yao, Yingwei Pan, Yehao Li, Tao Mei 5683\n135 15:30 HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic 45\n136 15:30 Controllable Video Captioning With POS Sequence Guidance Based on Gated Fusion Network Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Jingwen Wang, Wei Liu 1039\n3D From Multiview & Sensors 137 15:30 Multi-View Stereo by Temporal Nonparametric Fusion Yuxin Hou, Juho Kannala, Arno Solin 6035\n138 15:30 Floor-SP: Inverse CAD for Floorplans by Sequential Room-Wise Shortest Path Jiacheng Chen, Chen Liu, Jiaye Wu, Yasutaka Furukawa 1233\n139 15:30 Polarimetric Relative Pose Estimation Zhaopeng Cui, Viktor Larsson, Marc Pollefeys 3638\n140 15:30 Closed-Form Optimal Two-View Triangulation Based on Angular Errors Seong Hun Lee, Javier Civera 1911\n141 15:30 Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi-View Images Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Shengping Zhang 1148\nImage & Video Synthesis 142 15:30 Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis Patrick Esser, Johannes Haux, Björn Ommer 3555\n143 15:30 SROBB: Targeted Perceptual Loss for Single Image Super-Resolution Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran 2968\n144 15:30 An Internal Learning Approach to Video Inpainting Haotian Zhang, Long Mai, Ning Xu, Zhaowen Wang, John Collomosse, Hailin Jin 3273\n145 15:30 Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi 4212\n146 15:30 Adversarial Defense via Learning to Generate Diverse Attacks Yunseok Jang, Tianchen Zhao, Seunghoon Hong, Honglak Lee 1811\n147 15:30 Image Generation From Small Datasets via Batch Statistics Adaptation Atsuhiro Noguchi, Tatsuya Harada 3808\n148 15:30 Lifelong GAN: Continual Learning for Conditional Image Generation Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori 3391\nApplications. Medical, & Robotics 149 15:30 Bayesian Relational Memory for Semantic Visual Navigation Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian 4634\n150 15:30 Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes Fabian Brickwedde, Steffen Abraham, Rudolf Mester 5103\n151 15:30 Prior Guided Dropout for Robust Visual Localization in Dynamic Environments Zhaoyang Huang, Yan Xu, Jianping Shi, Xiaowei Zhou, Hujun Bao, Guofeng Zhang 3203\n152 15:30 Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles Manuel Martin, Alina Roitberg, Monica Haurilet, Matthias Horne, Simon Reiß, Michael Voit, Rainer Stiefelhagen 2\n153 15:30 Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, Hongsheng Li 2490\n154 15:30 PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine 1984\n155 15:30 LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis Zhe Liu, Shunbo Zhou, Chuanzhe Suo, Peng Yin, Wen Chen, Hesheng Wang, Haoang Li, Yun-Hui Liu 6783\n156 15:30 Local Supports Global: Deep Camera Relocalization With Sequence Enhancement Fei Xue, Xin Wang, Zike Yan, Qiuyuan Wang, Junqiu Wang, Hongbin Zha 1455\n157 15:30 Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry Shunkai Li, Fei Xue, Xin Wang, Zike Yan, Hongbin Zha 909\n158 15:30 TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts Ziyang Hong, Yvan Petillot, David Lane, Yishu Miao, Sen Wang 4996\n159 15:30 CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization Mingyu Ding, Zhe Wang, Jiankai Sun, Jianping Shi, Ping Luo 4057\n160 15:30 Situational Fusion of Visual Representation for Visual Navigation William B. Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-Fei, Silvio Savarese 806\n161 15:30 Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu 6944\n162 15:30 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation Arsalan Mousavian, Clemens Eppner, Dieter Fox 6250\n163 15:30 DAGMapper: Learning to Map by Discovering Lane Topology Namdar Homayounfar, Wei-Chiu Ma, Justin Liang, Xinyu Wu, Jack Fan, Raquel Urtasun 3609\n164 15:30 3D-LaneNet: End-to-End 3D Multiple Lane Detection Noa Garnett, Rafi Cohen, Tomer Pe'er, Roee Lahav, Dan Levi 876\nWednesday, October 30, 2019, 0900–1030 Oral 2.1A (Hall D1) Ming-Ming Cheng (Nankai Univ.), Camille Couprie (Facebook)\nFeature Representations, Similarity Learning 1 09:00 Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation [Video] Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari 1774\n2 09:05 Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation [Video] Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, Feiyue Huang 2912\n3 09:10 Understanding Deep Networks via Extremal Perturbations and Smooth Masks [Video] Ruth Fong, Mandela Patrick, Andrea Vedaldi 3949\n4 09:18 Unsupervised Pre-Training of Image Features on Non-Curated Data [Video] Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin 3438\n5 09:23 Learning Local Descriptors With a CDF-Based Dynamic Soft Margin [Video] Linguang Zhang, Szymon Rusinkiewicz 791\n6 09:28 Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement [Video] Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic 4549\n7 09:36 Linearized Multi-Sampling for Differentiable Image Transformation [Video] Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi 811\n8 09:41 AdaTransform: Adaptive Data Transformation [Video] Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas 715\n9 09:46 CARAFE: Content-Aware ReAssembly of FEatures [Video] Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin 2495\n10 09:54 AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching [Video] Dou Quan, Xuefeng Liang, Shuang Wang, Shaowei Wei, Yanfeng Li, Ning Huyan, Licheng Jiao 4249\n11 09:59 Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval [Video] Shupeng Su, Zhisheng Zhong, Chao Zhang 1426\n12 10:04 Unsupervised Neural Quantization for Compressed-Domain Similarity Search [Video] Stanislav Morozov, Artem Babenko 3300\n13 10:12 Siamese Networks: The Tale of Two Manifolds [Video] Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard Hartley 4856\n14 10:17 Learning Combinatorial Embedding Networks for Deep Graph Matching [Video] Runzhong Wang, Junchi Yan, Xiaokang Yang 41\n15 10:22 Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid [Video] Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang 2037\nWednesday, October 30, 2019, 0900–1030 Oral 2.1B (Hall D2) Hiroshi Ishikawa (Waseda Univ.), Jinwei Gu (SenseTime)\nLow Level Vision 16 09:00 Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution [Video] Xin Deng, Ren Yang, Mai Xu, Pier Luigi Dragotti 6221\n17 09:05 Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model [Video] Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, Lei Zhang 507\n18 09:10 RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution [Video] Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao 539\n19 09:18 Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations [Video] Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma 733\n20 09:23 Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications [Video] Soo Ye Kim, Jihyong Oh, Munchurl Kim 5601\n21 09:28 Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior [Video] Tatsuya Yokota, Kazuya Kawai, Muneyuki Sakata, Yuichi Kimura, Hidekata Hontani 4500\n22 09:36 DSIC: Deep Stereo Image Compression [Video] Jerry Liu, Shenlong Wang, Raquel Urtasun 2148\n23 09:41 Variable Rate Deep Image Compression With a Conditional Autoencoder [Video] Yoojin Choi, Mostafa El-Khamy, Jungwon Lee 3646\n24 09:46 Real Image Denoising With Feature Attention [Video] Saeed Anwar, Nick Barnes 3246\n25 09:54 Noise Flow: Noise Modeling With Conditional Normalizing Flows [Video] Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown 33\n26 09:59 Bottleneck Potentials in Markov Random Fields [Video] Ahmed Abbas, Paul Swoboda 3559\n27 10:04 Seeing Motion in the Dark [Video] Chen Chen, Qifeng Chen, Minh N. Do, Vladlen Koltun 2553\n28 10:09 SENSE: A Shared Encoder Network for Scene-Flow Estimation [Video] Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller, Jan Kautz 917\nWednesday, October 30, 2019, 1030–1300 Poster 2.1 (Hall B)\nDeep Learning 29 10:30 Adversarial Feedback Loop Firas Shama, Roey Mechrez, Alon Shoshan, Lihi Zelnik-Manor 868\n30 10:30 Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks Alon Shoshan, Roey Mechrez, Lihi Zelnik-Manor 892\n31 10:30 AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang 4192\n32 10:30 Co-Evolutionary Compression for Unpaired Image Translation Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu 4342\n33 10:30 Self-Supervised Representation Learning From Multi-Domain Data Zeyu Feng, Chang Xu, Dacheng Tao 5423\n34 10:30 Controlling Neural Networks via Energy Dissipation Michael Moeller, Thomas Möllenhoff, Daniel Cremers 2246\n35 10:30 Indices Matter: Learning to Index for Deep Image Matting Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu 1411\n36 10:30 LAP-Net: Level-Aware Progressive Network for Image Dehazing Yunan Li, Qiguang Miao, Wanli Ouyang, Zhenxin Ma, Huijuan Fang, Chao Dong, Yining Quan 4253\n37 10:30 Attention Augmented Convolutional Networks Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, Quoc V. Le 6563\n38 10:30 MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Kwang-Ting Cheng, Jian Sun 3403\n39 10:30 Accelerate CNN via Recursive Bayesian Pruning Yuefu Zhou, Ya Zhang, Yanfeng Wang, Qi Tian 2413\n40 10:30 HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions Duo Li, Aojun Zhou, Anbang Yao 3761\n41 10:30 O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks Jinchi Huang, Lie Qu, Rongfei Jia, Binqiang Zhao 5801\n42 10:30 Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee 4533\n43 10:30 Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R. Scott 3838\n44 10:30 LIP: Local Importance-Based Pooling Ziteng Gao, Limin Wang, Gangshan Wu 3926\n45 10:30 Global Feature Guided Local Pooling Takumi Kobayashi 4446\n46 10:30 Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation Jinghua Wang, Jianmin Jiang 5338\n47 10:30 Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks Aamir Mustafa, Salman Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao 2247\n48 10:30 Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho 5417\n49 10:30 Information Entropy Based Feature Pooling for Convolutional Neural Networks Weitao Wan, Jiansheng Chen, Tianpeng Li, Yiqing Huang, Jingqi Tian, Cheng Yu, Youze Xue 5290\n50 10:30 Patchwork: A Patch-Wise Attention Network for Efficient Object Detection and Segmentation in Video Streams Yuning Chai 5412\n51 10:30 AttentionRNN: A Structured Spatial Attention Mechanism Siddhesh Khandelwal, Leonid Sigal 4217\n52 10:30 Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng 91\n53 10:30 Domain Intersection and Domain Difference Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf 6403\n54 10:30 Learned Video Compression Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G. Anderson, Lubomir Bourdev 5742\n55 10:30 Local Relation Networks for Image Recognition Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin 2275\n56 10:30 DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing Éloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, Vincent Guitteny 3502\n57 10:30 Deep Residual Learning in the JPEG Transform Domain Max Ehrlich, Larry S. Davis 110\n58 10:30 Approximated Bilinear Modules for Temporal Modeling Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao 1479\n59 10:30 Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song 2478\n60 10:30 Data-Free Learning of Student Networks Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian 1272\n61 10:30 Deep Closest Point: Learning Representations for Point Cloud Registration Yue Wang, Justin M. Solomon 6534\n62 10:30 Orientation-Aware Semantic Segmentation on Icosahedron Spheres Chao Zhang, Stephan Liwicki, William Smith, Roberto Cipolla 1943\n63 10:30 Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo 1395\n64 10:30 HarDNet: A Low Memory Traffic Network Ping Chao, Chao-Yang Kao, Yu-Shan Ruan, Chien-Hsiang Huang, Youn-Long Lin 5269\n65 10:30 Dynamic Multi-Scale Filters for Semantic Segmentation Junjun He, Zhongying Deng, Yu Qiao 4825\n66 10:30 Online Model Distillation for Efficient Video Inference Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian 5274\nRecognition 67 10:30 Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective Kai Li, Martin Renqiang Min, Yun Fu 5378\n68 10:30 Task-Driven Modular Networks for Zero-Shot Compositional Learning Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato 2140\n69 10:30 Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning Limeng Qiao, Yemin Shi, Jia Li, Yaowei Wang, Tiejun Huang, Yonghong Tian 4534\n70 10:30 Deep Multiple-Attribute-Perceived Network for Real-World Texture Recognition Wei Zhai, Yang Cao, Jing Zhang, Zheng-Jun Zha 3942\n71 10:30 RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou 354\n72 10:30 EvalNorm: Estimating Batch Normalization Statistics for Evaluation Saurabh Singh, Abhinav Shrivastava 5029\n73 10:30 Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification Jianyuan Guo, Yuhui Yuan, Lang Huang, Chao Zhang, Jin-Ge Yao, Kai Han 2833\n74 10:30 Person Search by Text Attribute Query As Zero-Shot Learning Qi Dong, Shaogang Gong, Xiatian Zhu 1642\n75 10:30 Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval Qing Liu, Lingxi Xie, Huiyu Wang, Alan L. Yuille 2796\n76 10:30 Active Learning for Deep Detection Neural Networks Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. López 4697\n77 10:30 One-Shot Neural Architecture Search via Self-Evaluated Template Network Xuanyi Dong, Yi Yang 126\n78 10:30 Batch DropBlock Network for Person Re-Identification and Beyond Zuozhuo Dai, Mingqiang Chen, Xiaodong Gu, Siyu Zhu, Ping Tan 3242\n79 10:30 Omni-Scale Feature Learning for Person Re-Identification Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang 2964\n80 10:30 Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma 3293\n81 10:30 Diversity With Cooperation: Ensemble Methods for Few-Shot Classification Nikita Dvornik, Cordelia Schmid, Julien Mairal 4097\n82 10:30 Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval Cheng Xu, Zhaoqun Li, Qiang Qiu, Biao Leng, Jingfei Jiang 4428\n83 10:30 Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition Kun Wei, Muli Yang, Hao Wang, Cheng Deng, Xianglong Liu 175\n84 10:30 Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification Ruijie Quan, Xuanyi Dong, Yu Wu, Linchao Zhu, Yi Yang 491\n85 10:30 Second-Order Non-Local Attention Networks for Person Re-Identification Bryan (Ning) Xia, Yuan Gong, Yizhe Zhang, Christian Poellabauer 3622\nSegmentation, Grouping, & Shape 86 10:30 Fast Computation of Content-Sensitive Superpixels and Supervoxels Using Q-Distances Zipeng Ye, Ran Yi, Minjing Yu, Yong-Jin Liu, Ying He 3346\n87 10:30 Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm Dániel Baráth, Jiří Matas 5018\n88 10:30 Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao 5196\n89 10:30 Selectivity or Invariance: Boundary-Aware Salient Object Detection Jinming Su, Jia Li, Yu Zhang, Changqun Xia, Yonghong Tian 356\n90 10:30 Online Unsupervised Learning of the 3D Kinematic Structure of Arbitrary Rigid Bodies Urbano Miguel Nunes, Yiannis Demiris 6400\n3D From Single View & RGBD 91 10:30 Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Bram Wallace, Bharath Hariharan 3552\n92 10:30 Digging Into Self-Supervised Monocular Depth Estimation Clément Godard, Oisin Mac Aodha, Michael Firman, Gabriel J. Brostow 3670\n93 10:30 Learning Object-Specific Distance From a Monocular Image Jing Zhu, Yi Fang 1517\n94 10:30 Unsupervised 3D Reconstruction Networks Geonho Cha, Minsik Lee, Songhwai Oh 2406\n95 10:30 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions Dong Wook Shu, Sung Woo Park, Junseok Kwon 3923\n96 10:30 Visualization of Convolutional Neural Networks for Monocular Depth Estimation Junjie Hu, Yan Zhang, Takayuki Okatani 1477\n97 10:30 3D-RelNet: Joint Object and Relational Network for 3D Prediction Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta 3139\nAction & Video 98 10:30 Co-Separating Sounds of Visual Objects Ruohan Gao, Kristen Grauman 1597\n99 10:30 BMN: Boundary-Matching Network for Temporal Action Proposal Generation Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, Shilei Wen 3382\n100 10:30 Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks Ziyi Liu, Le Wang, Qilin Zhang, Zhanning Gao, Zhenxing Niu, Nanning Zheng, Gang Hua 3215\n101 10:30 Progressive Sparse Local Attention for Video Object Detection Chaoxu Guo, Bin Fan, Jie Gu, Qian Zhang, Shiming Xiang, Véronique Prinet, Chunhong Pan 838\n102 10:30 Reasoning About Human-Object Interactions Through Dual Attention Networks Tete Xiao, Quanfu Fan, Dan Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou 1706\n103 10:30 DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun 2725\n104 10:30 Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query Hao Wang, Cheng Deng, Junchi Yan, Dacheng Tao 2607\n105 10:30 AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation Huaijia Lin, Xiaojuan Qi, Jiaya Jia 3818\n106 10:30 Global-Local Temporal Representations for Video Person Re-Identification Jianing Li, Jingdong Wang, Qi Tian, Wen Gao, Shiliang Zhang 1672\n107 10:30 AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian Molloy 3521\nMotion & Tracking 108 10:30 RANet: Ranking Attention Network for Fast Video Object Segmentation Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao 1434\n109 10:30 Spatial-Temporal Relation Networks for Multi-Object Tracking Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu 3971\n110 10:30 Bridging the Gap Between Detection and Tracking: A Unified Approach Lianghua Huang, Xin Zhao, Kaiqi Huang 680\n111 10:30 Learning the Model Update for Siamese Trackers Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan 3123\n112 10:30 Fast-deepKCF Without Boundary Effect Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu 2169\nComputational Photography & Graphics 113 10:30 Program-Guided Image Manipulators Jiayuan Mao, Xiuming Zhang, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu 1538\n114 10:30 Calibration of Axial Fisheye Cameras Through Generic Virtual Central Models Pierre-André Brousseau, Sébastien Roy 5053\n115 10:30 Micro-Baseline Structured Light Vishwanath Saragadam, Jian Wang, Mohit Gupta, Shree Nayar 1639\n116 10:30 l-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement Xin Miao, Xin Yuan, Yunchen Pu, Vassilis Athitsos 3136\n117 10:30 Deep Depth From Aberration Map Masako Kashiwagi, Nao Mishima, Tatsuo Kozakaya, Shinsaku Hiura 3897\n118 10:30 A Dataset of Multi-Illumination Images in the Wild Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand 3059\n119 10:30 Monocular Neural Image Based Rendering With Continuous View Control Xu Chen, Jie Song, Otmar Hilliges 2660\n120 10:30 Multi-View Image Fusion Marc Comino Trinidad, Ricardo Martin Brualla, Florian Kainz, Janne Kontkanen 4176\nLow-Level & Optimization 121 10:30 Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise Wei Wang, Xin Chen, Cheng Yang, Xiang Li, Xuemei Hu, Tao Yue 5457\n122 10:30 Deep Restoration of Vintage Photographs From Scanned Halftone Prints Qifan Gao, Xiao Shu, Xiaolin Wu 5301\n123 10:30 Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation Qiqi Hou, Feng Liu 93\n124 10:30 CFSNet: Toward a Controllable Feature Space for Image Restoration Wei Wang, Ruiming Guo, Yapeng Tian, Wenming Yang 3439\n125 10:30 Deep Blind Hyperspectral Image Fusion Wu Wang, Weihong Zeng, Yue Huang, Xinghao Ding, John Paisley 3787\n126 10:30 Fully Convolutional Pixel Adaptive Image Denoiser Sungmin Cha, Taesup Moon 2608\n127 10:30 Coherent Semantic Attention for Image Inpainting Hongyu Liu, Bin Jiang, Yi Xiao, Chao Yang 4737\n128 10:30 Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution Yajun Qiu, Ruxin Wang, Dapeng Tao, Jun Cheng 4785\n129 10:30 Fast Image Restoration With Multi-Bin Trainable Linear Units Shuhang Gu, Wen Li, Luc Van Gool, Radu Timofte 4890\nScene Understanding 130 10:30 Counting With Focus for Free Zenglin Shi, Pascal Mettes, Cees G. M. Snoek 1042\n131 10:30 SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion Behzad Bozorgtabar, Mohammad Saeed Rad, Dwarikanath Mahapatra, Jean-Philippe Thiran 3114\n132 10:30 Diverse Image Synthesis From Semantic Layouts via Conditional IMLE Ke Li, Tianhao Zhang, Jitendra Malik 3807\n133 10:30 Towards Bridging Semantic Gap to Improve Semantic Segmentation Yanwei Pang, Yazhao Li, Jianbing Shen, Ling Shao 818\nLanguage & Reasoning 134 10:30 Generating Diverse and Descriptive Image Captions Using Visual Paraphrases Lixin Liu, Jiajun Tang, Xiaojun Wan, Zongming Guo 4530\n135 10:30 Learning to Collocate Neural Modules for Image Captioning Xu Yang, Hanwang Zhang, Jianfei Cai 3394\n136 10:30 Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Jyoti Aneja, Harsh Agrawal, Dhruv Batra, Alexander Schwing 6554\n137 10:30 Why Does a Visual Question Have Different Answers? Nilavra Bhattacharya, Qing Li, Danna Gurari 1111\n138 10:30 G3raphGround: Graph-Based Language Grounding Mohit Bajaj, Lanjun Wang, Leonid Sigal 4410\n139 10:30 Scene Text Visual Question Answering Ali Furkan Biten, Rubèn Tito, Andrés Mafla, Lluis Gomez, Marçal Rusiñol, Ernest Valveny, C.V. Jawahar, Dimosthenis Karatzas 5810\n140 10:30 Compositional Video Prediction Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani 3120\n3D From Multiview & Sensors 141 10:30 Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM Lu Sheng, Dan Xu, Wanli Ouyang, Xiaogang Wang 2517\n142 10:30 MVSCRF: Learning Multi-View Stereo With Conditional Random Fields Youze Xue, Jiansheng Chen, Weitao Wan, Yiqing Huang, Cheng Yu, Tianpeng Li, Jiayu Bao 5280\n143 10:30 Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses Eric Brachmann, Carsten Rother 4033\n144 10:30 Efficient Learning on Point Clouds With Basis Point Sets Sergey Prokudin, Christoph Lassner, Javier Romero 6267\n145 10:30 Cross View Fusion for 3D Human Pose Estimation Haibo Qiu, Chunyu Wang, Jingdong Wang, Naiyan Wang, Wenjun Zeng 732\n146 10:30 Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images Junbang Liang, Ming C. Lin 1779\n147 10:30 Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations Yan Di, Henrique Morimitsu, Shan Gao, Xiangyang Ji 367\n148 10:30 Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization Hajime Taira, Ignacio Rocco, Jiri Sedlar, Masatoshi Okutomi, Josef Sivic, Tomas Pajdla, Torsten Sattler, Akihiko Torii 4509\n149 10:30 DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun 2740\nImage & Video Synthesis 150 10:30 Convolutional Sequence Generation for Skeleton-Based Action Synthesis Sijie Yan, Zhizhong Li, Yuanjun Xiong, Huahan Yan, Dahua Lin 508\n151 10:30 Onion-Peel Networks for Deep Video Completion Seoung Wug Oh, Sungho Lee, Joon-Young Lee, Seon Joo Kim 2840\n152 10:30 Copy-and-Paste Networks for Deep Video Inpainting Sungho Lee, Seoung Wug Oh, DaeYeun Won, Seon Joo Kim 2855\n153 10:30 Content and Style Disentanglement for Artistic Style Transfer Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer 2684\nThursday, October 31, 2019, 0900–1030 Oral 3.1A (Hall D1) Ming-Yu Liu (NVIDIA), Eli Shechtman (Adobe Research)\nGenerative Modeling & Synthesis 1 09:00 Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? [Video] Rameen Abdal, Yipeng Qin, Peter Wonka 3080\n2 09:05 Controllable Artistic Text Style Transfer via Shape-Matching GAN [Video] Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu, Zongming Guo 30\n3 09:10 Understanding Generalized Whitening and Coloring Transform for Universal Style Transfer [Video] Tai-Yin Chiu 5752\n4 09:18 Learning Implicit Generative Models by Matching Perceptual Features [Video] Cicero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre Dognin 5968\n5 09:23 Free-Form Image Inpainting With Gated Convolution [Video] Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang 905\n6 09:28 FiNet: Compatible and Diverse Fashion Image Inpainting [Video] Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry S. Davis 1963\n7 09:36 InGAN: Capturing and Retargeting the “DNA” of a Natural Image [Video] Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani 1017\n8 09:41 Seeing What a GAN Cannot Generate [Video] David Bau, Jun-Yan Zhu, Jonas Wulff, William Peebles, Hendrik Strobelt, Bolei Zhou, Antonio Torralba 5158\n9 09:46 COCO-GAN: Generation by Parts via Conditional Coordinating [Video] Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen 229\n10 09:54 Neural Turtle Graphics for Modeling City Road Layouts [Video] Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler 1223\n11 09:59 Texture Fields: Learning Texture Representations in Function Space [Video] Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger 5950\n12 10:04 PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows [Video] Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan 59\n13 10:12 Meta-Sim: Learning to Generate Synthetic Datasets [Video] Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler 3463\n14 10:17 Specifying Object Attributes and Relations in Interactive Scene Generation [Video] Oron Ashual, Lior Wolf 2134\n15 10:22 SinGAN: Learning a Generative Model From a Single Natural Image [Video] Tamar Rott Shaham, Tali Dekel, Tomer Michaeli 2245\nThursday, October 31, 2019, 0900–1030 Oral 3.1B (Hall D2) Gunhee Kim (Seoul National Univ.), Vicente Ordonez (Univ. of Virginia)\nVision, Language, & Text 16 09:00 VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research [Video] Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang 1135\n17 09:05 A Graph-Based Framework to Bridge Movies and Synopses [Video] Yu Xiong, Qingqiu Huang, Lingfeng Guo, Hang Zhou, Bolei Zhou, Dahua Lin 385\n18 09:10 From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason [Video] Ajeet Kumar Singh, Anand Mishra, Shashank Shekhar, Anirban Chakraborty 6036\n19 09:18 Counterfactual Critic Multi-Agent Training for Scene Graph Generation [Video] Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, Shih-Fu Chang 1565\n20 09:23 Robust Change Captioning [Video] Dong Huk Park, Trevor Darrell, Anna Rohrbach 5135\n21 09:28 Attention on Attention for Image Captioning [Video] Lun Huang, Wenmin Wang, Jie Chen, Xiao-Yong Wei 5657\n22 09:36 Dynamic Graph Attention for Referring Expression Comprehension [Video] Sibei Yang, Guanbin Li, Yizhou Yu 3058\n23 09:41 Visual Semantic Reasoning for Image-Text Matching [Video] Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu 4211\n24 09:46 Phrase Localization Without Paired Training Examples [Video] Josiah Wang, Lucia Specia 4024\n25 09:54 Learning to Assemble Neural Module Tree Networks for Visual Grounding [Video] Daqing Liu, Hanwang Zhang, Feng Wu, Zheng-Jun Zha 4090\n26 09:59 A Fast and Accurate One-Stage Approach to Visual Grounding [Video] Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo 4151\n27 10:04 Zero-Shot Grounding of Objects From Natural Language Queries [Video] Arka Sadhu, Kan Chen, Ram Nevatia 1092\n28 10:12 Towards Unconstrained End-to-End Text Spotting [Video] Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao 5112\n29 10:17 What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis [Video] Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee 5725\nThursday, October 31, 2019, 1030–1300 Poster 3.1 (Hall B)\nDeep Learning 30 10:30 Sparse and Imperceivable Adversarial Attacks Francesco Croce, Matthias Hein 6410\n31 10:30 Enhancing Adversarial Example Transferability With an Intermediate Level Attack Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge Belongie, Ser-Nam Lim 5296\n32 10:30 Implicit Surface Representations As Layers in Neural Networks Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders Eriksson 4370\n33 10:30 A Tour of Convolutional Networks Guided by Linear Interpreters Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang 1827\n34 10:30 Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning João F. Henriques, Sebastien Ehrhardt, Samuel Albanie, Andrea Vedaldi 5148\n35 10:30 Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde 5195\n36 10:30 Hilbert-Based Generative Defense for Adversarial Examples Yang Bai, Yan Feng, Yisen Wang, Tao Dai, Shu-Tao Xia, Yong Jiang 5540\n37 10:30 On the Efficacy of Knowledge Distillation Jang Hyun Cho, Bharath Hariharan 5344\n38 10:30 Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation Simyung Chang, SeongUk Park, John Yang, Nojun Kwak 3919\n39 10:30 Better and Faster: Exponential Loss for Image Patch Matching Shuang Wang, Yanfeng Li, Xuefeng Liang, Dou Quan, Bowu Yang, Shaowei Wei, Licheng Jiao 4903\n40 10:30 Physical Adversarial Textures That Fool Visual Object Tracking Rey Reza Wiyatno, Anqi Xu 5323\n41 10:30 Wasserstein GAN With Quadratic Transport Cost Huidong Liu, Xianfeng Gu, Dimitris Samaras 6026\n42 10:30 Scalable Verified Training for Provably Robust Image Classification Sven Gowal, Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelović, Timothy Mann, Pushmeet Kohli 4660\n43 10:30 Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan 4246\n44 10:30 The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information Chris Finlay, Aram-Alexandre Pooladian, Adam Oberman 4144\n45 10:30 Proximal Mean-Field for Neural Network Quantization Thalaiyasingam Ajanthan, Puneet K. Dokania, Richard Hartley, Philip H. S. Torr 3682\n46 10:30 Improving Adversarial Robustness via Guided Complement Entropy Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan 2240\n47 10:30 A Geometry-Inspired Decision-Based Attack Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard 3860\n48 10:30 Universal Perturbation Attack Against Image Retrieval Jie Li, Rongrong Ji, Hong Liu, Xiaopeng Hong, Yue Gao, Qi Tian 2070\n49 10:30 Bayesian Optimized 1-Bit CNNs Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji 1746\n50 10:30 Rethinking ImageNet Pre-Training Kaiming He, Ross Girshick, Piotr Dollár 2571\n51 10:30 Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen 5651\n52 10:30 Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks Yiyou Sun, Sathya N. Ravi, Vikas Singh 1093\n53 10:30 XRAI: Better Attributions Through Regions Andrei Kapishnikov, Tolga Bolukbasi, Fernanda Viégas, Michael Terry 6352\n54 10:30 Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks Thomas Brunner, Frederik Diehl, Michael Truong Le, Alois Knoll 6204\nRecognition 55 10:30 Mask-Guided Attention Network for Occluded Pedestrian Detection Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao 568\n56 10:30 Spectral Feature Transformation for Person Re-Identification Chuanchen Luo, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang 1165\n57 10:30 Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition Xiaofeng Liu, Zhenhua Guo, Site Li, Lingsheng Kong, Ping Jia, Jane You, B.V.K. Vijaya Kumar 832\n58 10:30 Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization Chufeng Tang, Lu Sheng, Zhaoxiang Zhang, Xiaolin Hu 2029\n59 10:30 Correlation Congruence for Knowledge Distillation Baoyun Peng, Xiao Jin, Jiaheng Liu, Dongsheng Li, Yichao Wu, Yu Liu, Shunfeng Zhou, Zhaoning Zhang 1693\n60 10:30 Dynamic Curriculum Learning for Imbalanced Data Classification Yiru Wang, Weihao Gan, Jie Yang, Wei Wu, Junjie Yan 4765\n61 10:30 Video Face Clustering With Unknown Number of Clusters Makarand Tapaswi, Marc T. Law, Sanja Fidler 3489\n62 10:30 Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower Giorgos Tolias, Filip Radenovic, Ondřej Chum 5008\n63 10:30 Fashion++: Minimal Edits for Outfit Improvement Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman 4311\n64 10:30 Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong 3824\n65 10:30 SILCO: Show a Few Images, Localize the Common Object Tao Hu, Pascal Mettes, Jia-Hong Huang, Cees G. M. Snoek 171\n66 10:30 A Deep Step Pattern Representation for Multimodal Retinal Image Registration Jimmy Addison Lee, Peng Liu, Jun Cheng, Huazhu Fu 1378\n67 10:30 Deep Graphical Feature Learning for the Feature Matching Problem Zhen Zhang, Wee Sun Lee 579\n68 10:30 Minimum Delay Object Detection From Video Dong Lao, Ganesh Sundaramoorthi 2679\n69 10:30 Learning With Average Precision: Training Image Retrieval With a Listwise Loss Jérôme Revaud, Jon Almazán, Rafael S. Rezende, César Roberto de Souza 4690\n70 10:30 Learning to Find Common Objects Across Few Image Collections Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley 3345\n71 10:30 Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, Zhiyong Liu 520\n72 10:30 Deep Self-Learning From Noisy Labels Jiangfan Han, Ping Luo, Xiaogang Wang 900\n73 10:30 DSConv: Efficient Convolution Operator Marcelo Gennari do Nascimento, Roger Fawcett, Victor Adrian Prisacariu 450\nSegmentation, Grouping, & Shape 74 10:30 Explicit Shape Encoding for Real-Time Instance Segmentation Wenqiang Xu, Haiyang Wang, Fubo Qi, Cewu Lu 1045\n75 10:30 IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things Cheng-Yang Fu, Tamara L. Berg, Alexander C. Berg 3281\n76 10:30 Video Instance Segmentation Linjie Yang, Yuchen Fan, Ning Xu 1972\n77 10:30 Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation Wataru Shimoda, Keiji Yanai 6886\n78 10:30 SPGNet: Semantic Prediction Guidance for Scene Parsing Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi 531\n79 10:30 Gated-SCNN: Gated Shape CNNs for Semantic Segmentation Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler 3458\n80 10:30 DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan 989\n81 10:30 AMP: Adaptive Masked Proxies for Few-Shot Segmentation Mennatullah Siam, Boris N. Oreshkin, Martin Jagersand 4105\n82 10:30 Universal Semi-Supervised Semantic Segmentation Tarun Kalluri, Girish Varma, Manmohan Chandraker, C.V. Jawahar 4481\n83 10:30 Feature Weighting and Boosting for Few-Shot Segmentation Khoi Nguyen, Sinisa Todorovic 1826\nStatistics, Physics, Theory & Datasets 84 10:30 Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan 5705\n85 10:30 SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval Qing-Yuan Jiang, Yi He, Gen Li, Jian Lin, Lei Li, Wu-Jun Li 5384\n86 10:30 Block Annotation: Better Image Annotation With Sub-Image Decomposition Hubert Lin, Paul Upchurch, Kavita Bala 5314\n87 10:30 Probabilistic Deep Ordinal Regression Based on Gaussian Processes Yanzhu Liu, Fan Wang, Adams Wai Kin Kong 1681\n88 10:30 Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez 3280\n89 10:30 Teacher Guided Architecture Search Pouya Bashivan, Mark Tensen, James J. DiCarlo 4943\n3D From Single View & RGBD 90 10:30 FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second David Smith, Matthew Loper, Xiaochen Hu, Paris Mavroidis, Javier Romero 6506\n91 10:30 Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy 2209\n92 10:30 Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation Yu Sun, Yun Ye, Wu Liu, Wenpeng Gao, Yili Fu, Tao Mei 426\n93 10:30 Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images “In the Wild” Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, Michael J. Black 6034\n94 10:30 Object-Driven Multi-Layer Scene Decomposition From a Single Image Helisa Dhamo, Nassir Navab, Federico Tombari 877\n95 10:30 Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics Michael Niemeyer, Lars Mescheder, Michael Oechsle, Andreas Geiger 5948\n96 10:30 Joint Monocular 3D Vehicle Detection and Tracking Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu 839\n97 10:30 FrameNet: Learning Local Canonical Frames of 3D Surfaces From a Single RGB Image Jingwei Huang, Yichao Zhou, Thomas Funkhouser, Leonidas J. Guibas 2149\nFace & Body 98 10:30 Fingerspelling Recognition in the Wild With Iterative Visual Attention Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Diane Brentari, Greg Shakhnarovich, Karen Livescu 2557\n99 10:30 PointAE: Point Auto-Encoder for 3D Statistical Shape and Texture Modelling Hang Dai, Ling Shao 479\n100 10:30 Multi-Garment Net: Learning to Dress 3D People From Images Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, Gerard Pons-Moll 4019\n101 10:30 Skeleton-Aware 3D Human Shape Reconstruction From Point Clouds Haiyong Jiang, Jianfei Cai, Jianmin Zheng 3988\n102 10:30 AMASS: Archive of Motion Capture As Surface Shapes Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, Michael J. Black 6302\n103 10:30 Person-in-WiFi: Fine-Grained Person Perception Using WiFi Fei Wang, Sanping Zhou, Stanislav Panev, Jinsong Han, Dong Huang 2322\n104 10:30 FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos Keqiang Sun, Wayne Wu, Tinghao Liu, Shuo Yang, Quan Wang, Qiang Zhou, Zuochang Ye, Chen Qian 778\n105 10:30 Attentional Feature-Pair Relation Networks for Accurate Face Recognition Bong-Nam Kang, Yonghyun Kim, Bongjin Jun, Daijin Kim 1452\n106 10:30 Face Alignment With Kernel Density Deep Neural Network Lisha Chen, Hui Su, Qiang Ji 4164\nAction & Video 107 10:30 Action Recognition With Spatial-Temporal Discriminative Filter Banks Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe 6483\n108 10:30 EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen 1805\n109 10:30 Weakly-Supervised Action Localization With Background Modeling Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes 6496\n110 10:30 Grouped Spatial-Temporal Aggregation for Efficient Action Recognition Chenxu Luo, Alan L. Yuille 2206\n111 10:30 Temporal Structure Mining for Weakly Supervised Action Detection Tan Yu, Zhou Ren, Yuncheng Li, Enxu Yan, Ning Xu, Junsong Yuan 245\n112 10:30 Temporal Recurrent Networks for Online Action Detection Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S. Davis, David J. Crandall 405\n113 10:30 StartNet: Online Detection of Action Start in Untrimmed Videos Mingfei Gao, Mingze Xu, Larry S. Davis, Richard Socher, Caiming Xiong 25\n114 10:30 Video Classification With Channel-Separated Convolutional Networks Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli 2739\n115 10:30 Predicting the Future: A Jointly Learnt Model for Action Anticipation Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes 3197\nLow-Level & Optimization 116 10:30 Human-Aware Motion Deblurring Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao 2850\n117 10:30 Fast Video Object Segmentation via Dynamic Targeting Network Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, You He 2065\n118 10:30 Solving Vision Problems via Filtering Sean I. Young, Aous T. Naman, Bernd Girod, David Taubman 247\n119 10:30 GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems Ankit Raj, Yuqi Li, Yoram Bresler 6405\n120 10:30 Scoot: A Perceptual Metric for Facial Sketches Deng-Ping Fan, ShengChuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji 1527\n121 10:30 Learning Filter Basis for Convolutional Neural Network Compression Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte 1428\n122 10:30 End-to-End Learning of Representations for Asynchronous Event-Based Data Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza 1773\n123 10:30 ERL-Net: Entangled Representation Learning for Single Image De-Raining Guoqing Wang, Changming Sun, Arcot Sowmya 5174\n124 10:30 Perceptual Deep Depth Super-Resolution Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexander Notchenko, Gleb Bobrovskikh, Evgeny Burnaev, Denis Zorin 4118\nScene Understanding 125 10:30 3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera Iro Armeni, Zhi-Yang He, JunYoung Gwak, Amir R. Zamir, Martin Fischer, Jitendra Malik, Silvio Savarese 6691\n126 10:30 Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans Cheng Lin, Changjian Li, Wenping Wang 4835\n127 10:30 Enforcing Geometric Constraints of Virtual Normal for Depth Prediction Wei Yin, Yifan Liu, Chunhua Shen, Youliang Yan 976\n128 10:30 Deep Contextual Attention for Human-Object Interaction Detection Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen 3102\n129 10:30 Learning Compositional Neural Information Fusion for Human Parsing Wenguan Wang, Zhijie Zhang, Siyuan Qi, Jianbing Shen, Yanwei Pang, Ling Shao 2055\n130 10:30 Attentional Neural Fields for Crowd Counting Anran Zhang, Lei Yue, Jiayi Shen, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao 2223\n131 10:30 Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning Lifeng Fan, Wenguan Wang, Siyuan Huang, Xinyu Tang, Song-Chun Zhu 421\n132 10:30 Controllable Attention for Structured Layered Video Decomposition Jean-Baptiste Alayrac, João Carreira, Relja Arandjelović, Andrew Zisserman 4034\n133 10:30 GANalyze: Toward Visual Definitions of Cognitive Image Properties Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola 4167\nLanguage & Reasoning 134 10:30 Saliency-Guided Attention Network for Image-Sentence Matching Zhong Ji, Haoran Wang, Jungong Han, Yanwei Pang 4245\n135 10:30 CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval Zihao Wang, Xihui Liu, Hongsheng Li, Lu Sheng, Junjie Yan, Xiaogang Wang, Jing Shao 294\n136 10:30 ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching Yan Huang, Liang Wang 1205\n137 10:30 Creativity Inspired Zero-Shot Learning Mohamed Elhoseiny, Mohamed Elfeki 2548\n138 10:30 Generating Easy-to-Understand Referring Expressions for Target Identifications Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada 3740\n139 10:30 Language-Agnostic Visual-Semantic Embeddings Jônatas Wehrmann, Douglas M. Souza, Maurício A. Lopes, Rodrigo C. Barros 6209\n140 10:30 Adversarial Representation Learning for Text-to-Image Matching Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris 60\n141 10:30 Multi-Modality Latent Interaction Network for Visual Question Answering Peng Gao, Haoxuan You, Zhanpeng Zhang, Xiaogang Wang, Hongsheng Li 350\n3D From Multiview & Sensors 142 10:30 Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters Axel Barroso-Laguna, Edgar Riba, Daniel Ponsa, Krystian Mikolajczyk 3104\n143 10:30 Learning Two-View Correspondences and Geometry Using Order-Aware Network Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen, Long Quan, Hongen Liao 2338\n144 10:30 Learning Meshes for Dense Visual SLAM Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison 6287\n145 10:30 EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association Michael Strecke, Jörg Stückler 5672\n146 10:30 ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation Jiahui Huang, Sheng Yang, Zishuo Zhao, Yu-Kun Lai, Shi-Min Hu 5594\n147 10:30 Efficient and Robust Registration on the 3D Special Euclidean Group Uttaran Bhattacharya, Venu Madhav Govindu 1550\n148 10:30 Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri 1621\nImage & Video Synthesis 149 10:30 Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao 4701\n150 10:30 RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao 3879\n151 10:30 Attribute-Driven Spontaneous Motion in Unpaired Image Translation Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia 5827\n152 10:30 Everybody Dance Now Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros 2304\n153 10:30 Multimodal Style Transfer via Graph Cuts Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang 737\n154 10:30 A Closed-Form Solution to Universal Style Transfer Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Li Zhang 464\n155 10:30 Progressive Reconstruction of Visual Structure for Image Inpainting Jingyuan Li, Fengxiang He, Lefei Zhang, Bo Du, Dacheng Tao 3072\nThursday, October 31, 2019, 1330–1530 Oral 3.2A (Hall D1) Diane Larlus (Naver Labs Europe), David Crandall (Indiana Univ.)\nRecognition, Detection, & Re-Identification 1 13:30 Variational Adversarial Active Learning [Video] Samarth Sinha, Sayna Ebrahimi, Trevor Darrell 6625\n2 13:35 Confidence Regularized Self-Training [Video] Yang Zou, Zhiding Yu, Xiaofeng Liu, B.V.K. Vijaya Kumar, Jinsong Wang 774\n3 13:40 Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty [Video] Serim Ryou, Seong-Gyun Jeong, Pietro Perona 3141\n4 13:48 Local Aggregation for Unsupervised Learning of Visual Embeddings [Video] Chengxu Zhuang, Alex Lin Zhai, Daniel Yamins 4162\n5 13:53 PR Product: A Substitute for Inner Product in Neural Networks [Video] Zhennan Wang, Wenbin Zou, Chen Xu 5532\n6 13:58 CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features [Video] Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo 2927\n7 14:06 Towards Interpretable Object Detection by Unfolding Latent Structures [Video] Tianfu Wu, Xi Song 6232\n8 14:11 Scaling Object Detection by Transferring Classification Weights [Video] Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan 1866\n9 14:16 Scale-Aware Trident Networks for Object Detection [Video] Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang 2005\n10 14:24 Object-Aware Instance Labeling for Weakly Supervised Object Detection [Video] Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa 2344\n11 14:29 Generative Modeling for Small-Data Object Detection [Video] Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li 1983\n12 14:34 Transductive Learning for Zero-Shot Object Detection [Video] Shafin Rahman, Salman Khan, Nick Barnes 2642\n13 14:42 Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection [Video] Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim 3987\n14 14:47 Memory-Based Neighbourhood Embedding for Visual Recognition [Video] Suichan Li, Dapeng Chen, Bin Liu, Nenghai Yu, Rui Zhao 3327\n15 14:52 Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification [Video] Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi, Thomas S. Huang 622\n16 15:00 Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification [Video] Zimo Liu, Jingya Wang, Shaogang Gong, Huchuan Lu, Dacheng Tao 2521\n17 15:05 A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification [Video] Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa 6404\n18 15:10 Bayesian Loss for Crowd Count Estimation With Point Supervision [Video] Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong 380\n19 15:15 Learning Spatial Awareness to Improve Crowd Counting [Video] Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai, Xiao Wu, Alexander G. Hauptmann 3596\nThursday, October 31, 2019, 1330–1530 Oral 3.2B (Hall D2) Laura Leal-Taixé (Technische Univ. München), Bohyung Han (Seoul National Univ.)\nVideo & Action Understanding 20 13:30 GradNet: Gradient-Guided Network for Visual Object Tracking [Video] Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu 620\n21 13:35 FAMNet: Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking [Video] Peng Chu, Haibin Ling 2798\n22 13:40 Learning Discriminative Model Prediction for Tracking [Video] Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte 3941\n23 13:48 DynamoNet: Dynamic Action and Motion Network [Video] Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen 4\n24 13:53 SlowFast Networks for Video Recognition [Video] Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He 720\n25 13:58 Generative Multi-View Human Action Recognition [Video] Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu 3326\n26 14:06 Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition [Video] Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Shilei Wen 800\n27 14:11 SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition [Video] Bruno Korbar, Du Tran, Lorenzo Torresani 5172\n28 14:16 Weakly Supervised Energy-Based Learning for Action Segmentation [Video] Jun Li, Peng Lei, Sinisa Todorovic 1820\n29 14:24 What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention [Video] Antonino Furnari, Giovanni Maria Farinella 4092\n30 14:29 PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction [Video] Amir Rasouli, Iuliia Kotseruba, Toni Kunic, John K. Tsotsos 1650\n31 14:34 STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction [Video] Yingfan Huang, Huikun Bi, Zhaoxin Li, Tianlu Mao, Zhaoqi Wang 1174\n32 14:42 Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection [Video] Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogerio S. Feris, Minh N. Do 3133\n33 14:47 Dual Attention Matching for Audio-Visual Event Localization [Video] Yu Wu, Linchao Zhu, Yan Yan, Yi Yang 3016\n34 14:52 Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference [Video] Mahesh Subedar, Ranganath Krishnan, Paulo Lopez Meyer, Omesh Tickoo, Jonathan Huang 6568\n35 15:00 Non-Local Recurrent Neural Memory for Supervised Sequence Modeling [Video] Canmiao Fu, Wenjie Pei, Qiong Cao, Chaopeng Zhang, Yong Zhao, Xiaoyong Shen, Yu-Wing Tai 4506\n36 15:05 Temporal Attentive Alignment for Large-Scale Video Domain Adaptation [Video] Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Yoo, Ruxin Chen, Jian Zheng 5437\n37 15:10 Action Assessment by Joint Relation Graphs [Video] Jia-Hui Pan, Jibin Gao, Wei-Shi Zheng 1277\n38 15:18 Unsupervised Procedure Learning via Joint Dynamic Summarization [Video] Ehsan Elhamifar, Zwe Naing 1652\n39 15:23 ViSiL: Fine-Grained Spatio-Temporal Video Similarity Learning [Video] Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Ioannis Kompatsiaris 2282\nThursday, October 31, 2019, 1530–1800 Poster 3.2 (Hall B)\nDeep Learning 40 15:30 Unsupervised Learning of Landmarks by Descriptor Vector Exchange James Thewlis, Samuel Albanie, Hakan Bilen, Andrea Vedaldi 4870\n41 15:30 Learning Compositional Representations for Few-Shot Recognition Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert 1982\n42 15:30 Spectral Regularization for Combating Mode Collapse in GANs Kanglin Liu, Wenming Tang, Fei Zhou, Guoping Qiu 4768\n43 15:30 Scaling and Benchmarking Self-Supervised Visual Representation Learning Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra 1542\n44 15:30 Learning an Effective Equivariant 3D Descriptor Without Supervision Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano 6132\n45 15:30 KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas 5957\n46 15:30 Neural Inter-Frame Compression for Video Coding Abdelaziz Djelouah, Joaquim Campos, Simone Schaub-Meyer, Christopher Schroers 3869\n47 15:30 Task2Vec: Task Embedding for Meta-Learning Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona 5171\n48 15:30 Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding Linxiao Yang, Ngai-Man Cheung, Jiaying Li, Jun Fang 4343\n49 15:30 SoftTriple Loss: Deep Metric Learning Without Triplet Sampling Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin 5183\n50 15:30 A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi 4122\n51 15:30 Gaussian Affinity for Max-Margin Class Imbalanced Learning Munawar Hayat, Salman Khan, Syed Waqas Zamir, Jianbing Shen, Ling Shao 4032\n52 15:30 AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism Jingjia Huang, Zhangheng Li, Nannan Li, Shan Liu, Ge Li 4346\n53 15:30 Deep Metric Learning With Tuplet Margin Loss Baosheng Yu, Dacheng Tao 1705\n54 15:30 Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation Yogesh Balaji, Rama Chellappa, Soheil Feizi 4881\n55 15:30 Fast and Practical Neural Architecture Search Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia 2012\n56 15:30 Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Jiwoong Park, Minsik Lee, Hyung Jin Chang, Kyuewang Lee, Jin Young Choi 735\n57 15:30 Deep Elastic Networks With Model Selection for Multi-Task Learning Chanho Ahn, Eunwoo Kim, Songhwai Oh 2097\n58 15:30 Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein 1412\n59 15:30 Adversarial Learning With Margin-Based Triplet Embedding Regularization Yaoyao Zhong, Weihong Deng 4562\nRecognition 60 15:30 Simultaneous Multi-View Instance Detection With Learned Geometric Soft-Constraints Ahmed Samy Nassar, Sébastien Lefèvre, Jan Dirk Wegner 3964\n61 15:30 CenterNet: Keypoint Triplets for Object Detection Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian 770\n62 15:30 Online Hyper-Parameter Learning for Auto-Augmentation Strategy Chen Lin, Minghao Guo, Chuming Li, Xin Yuan, Wei Wu, Junjie Yan, Dahua Lin, Wanli Ouyang 4042\n63 15:30 DANet: Divergent Activation for Weakly Supervised Object Localization Haolan Xue, Chang Liu, Fang Wan, Jianbin Jiao, Xiangyang Ji, Qixiang Ye 302\n64 15:30 Selective Sparse Sampling for Fine-Grained Image Recognition Yao Ding, Yanzhao Zhou, Yi Zhu, Qixiang Ye, Jianbin Jiao 213\n65 15:30 Dynamic Anchor Feature Selection for Single-Shot Object Detection Shuai Li, Lingxiao Yang, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang 4798\n66 15:30 Incremental Learning Using Conditional Adversarial Networks Ye Xiang, Ying Fu, Pan Ji, Hua Huang 5393\n67 15:30 Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang, Haichao Zhang 3233\n68 15:30 View Confusion Feature Learning for Person Re-Identification Fangyi Liu, Lei Zhang 5413\n69 15:30 Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification Hang Xu, Lewei Yao, Wei Zhang, Xiaodan Liang, Zhenguo Li 4453\n70 15:30 PARN: Position-Aware Relation Networks for Few-Shot Learning Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia 2498\n71 15:30 Multi-Adversarial Faster-RCNN for Unrestricted Object Detection Zhenwei He, Lei Zhang 5292\n72 15:30 Object Guided External Memory Network for Video Object Detection Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan 3352\n73 15:30 An Empirical Study of Spatial Attention Mechanisms in Deep Networks Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai 3729\n74 15:30 Attribute Attention for Semantic Disambiguation in Zero-Shot Learning Yang Liu, Jishun Guo, Deng Cai, Xiaofei He 141\n75 15:30 CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising Puneet Gupta, Esa Rahtu 4848\n76 15:30 ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices Zheng Qin, Zeming Li, Zhaoning Zhang, Yiping Bao, Gang Yu, Yuxing Peng, Jian Sun 1142\n77 15:30 Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning Zhanghan Ke, Daoye Wang, Qiong Yan, Jimmy Ren, Rynson W.H. Lau 2205\n78 15:30 MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-Identification Han Sun, Zhiyuan Chen, Shiyang Yan, Lin Xu 678\nSegmentation, Grouping, & Shape 79 15:30 Adaptive Context Network for Scene Parsing Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu 1772\n80 15:30 Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach Qing Lian, Fengmao Lv, Lixin Duan, Boqing Gong 2179\n81 15:30 SparseMask: Differentiable Connectivity Learning for Dense Image Prediction Huikai Wu, Junge Zhang, Kaiqi Huang 711\n82 15:30 Significance-Aware Information Bottleneck for Domain Adaptive Semantic Segmentation Yawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang 1197\n83 15:30 Relational Attention Network for Crowd Counting Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao 888\n84 15:30 ACFNet: Attentional Class Feature Network for Semantic Segmentation Fan Zhang, Yanqin Chen, Zhihang Li, Zhibin Hong, Jingtuo Liu, Feifei Ma, Junyu Han, Errui Ding 3380\n85 15:30 Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon 2336\n86 15:30 Boundary-Aware Feature Propagation for Scene Segmentation Henghui Ding, Xudong Jiang, Ai Qun Liu, Nadia Magnenat Thalmann, Gang Wang 636\n87 15:30 Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation Jaehoon Choi, Taekyung Kim, Changick Kim 3992\n3D From Single View & RGBD 88 15:30 Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam, Tolga Birdal, Nassir Navab, Federico Tombari 1768\n89 15:30 Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving Xinzhu Ma, Zhihui Wang, Haojie Li, Pengbo Zhang, Wanli Ouyang, Xin Fan 4154\n90 15:30 MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi 6529\n91 15:30 Unsupervised High-Resolution Depth Learning From Videos With Dual Networks Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng 1700\nFace & Body 92 15:30 Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition Rui Zhao, Kang Wang, Hui Su, Qiang Ji 6752\n93 15:30 DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild Arnaud Dapogny, Kevin Bailly, Matthieu Cord 1630\n94 15:30 Probabilistic Face Embeddings Yichun Shi, Anil K. Jain 6328\n95 15:30 Gaze360: Physically Unconstrained Gaze Estimation in the Wild Petr Kellnhofer, Adrià Recasens, Simon Stent, Wojciech Matusik, Antonio Torralba 4341\n96 15:30 Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning Ancong Wu, Wei-Shi Zheng, Jian-Huang Lai 6696\n97 15:30 Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks Zhe He, Adrian Spurr, Xucong Zhang, Otmar Hilliges 5925\n98 15:30 Dynamic Kernel Distillation for Efficient Pose Estimation in Videos Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng 890\n99 15:30 Single-Stage Multi-Person Pose Machines Xuecheng Nie, Jiashi Feng, Jianfeng Zhang, Shuicheng Yan 1417\n100 15:30 SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning Yujin Chen, Zhigang Tu, Liuhao Ge, Dejun Zhang, Ruizhi Chen, Junsong Yuan 2928\n101 15:30 Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression Xinyao Wang, Liefeng Bo, Li Fuxin 3145\n102 15:30 Single-Network Whole-Body Pose Estimation Gines Hidalgo, Yaadhav Raaj, Haroon Idrees, Donglai Xiang, Hanbyul Joo, Tomas Simon, Yaser Sheikh 6480\nAction & Video 103 15:30 Spatiotemporal Feature Residual Propagation for Action Prediction He Zhao, Richard P. Wildes 6471\n104 15:30 Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos Fanyi Xiao, Haotian Liu, Yong Jae Lee 2564\n105 15:30 Relation Distillation Networks for Video Object Detection Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, Tao Mei 5819\n106 15:30 Video Compression With Rate-Distortion Autoencoders Amirhossein Habibian, Ties van Rozendaal, Jakub M. Tomczak, Taco S. Cohen 5662\n107 15:30 Non-Local ConvLSTM for Video Compression Artifact Reduction Yi Xu, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun 5576\n108 15:30 Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu 1551\n109 15:30 Learning Temporal Action Proposals With Fewer Labels Jingwei Ji, Kaidi Cao, Juan Carlos Niebles 1463\n110 15:30 TSM: Temporal Shift Module for Efficient Video Understanding Ji Lin, Chuang Gan, Song Han 751\n111 15:30 Graph Convolutional Networks for Temporal Action Localization Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan 797\n112 15:30 Fast Object Detection in Compressed Video Shiyao Wang, Hongchao Lu, Zhidong Deng 3430\nMotion & Tracking 113 15:30 Predicting 3D Human Dynamics From Video Jason Y. Zhang, Panna Felsen, Angjoo Kanazawa, Jitendra Malik 6597\n114 15:30 Imitation Learning for Human Pose Prediction Borui Wang, Ehsan Adeli, Hsu-kuang Chiu, De-An Huang, Juan Carlos Niebles 6083\n115 15:30 Human Motion Prediction via Spatio-Temporal Inpainting Alejandro Hernandez, Jürgen Gall, Francesc Moreno-Noguer 5823\n116 15:30 Structured Prediction Helps 3D Human Motion Modelling Emre Aksan, Manuel Kaufmann, Otmar Hilliges 6296\nComputational Photography & Graphics 117 15:30 Learning Shape Templates With Structured Implicit Functions Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas Funkhouser 6467\n118 15:30 CompenNet++: End-to-End Full Projector Compensation Bingyao Huang, Haibin Ling 1105\n119 15:30 Deep Parametric Indoor Lighting Estimation Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné, Jean-François Lalonde 5073\n120 15:30 FSGAN: Subject Agnostic Face Swapping and Reenactment Yuval Nirkin, Yosi Keller, Tal Hassner 2619\n121 15:30 Deep Single-Image Portrait Relighting Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, David W. Jacobs 3589\n122 15:30 PU-GAN: A Point Cloud Upsampling Adversarial Network Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng 2799\n123 15:30 Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis, Michael Bronstein, Stefanos Zafeiriou 6521\nLow-Level & Optimization 124 15:30 Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang 5235\n125 15:30 Towards High-Resolution Salient Object Detection Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu 2390\n126 15:30 Event-Based Motion Segmentation by Motion Compensation Timo Stoffregen, Guillermo Gallego, Tom Drummond, Lindsay Kleeman, Davide Scaramuzza 1829\n127 15:30 Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection Yongri Piao, Wei Ji, Jingjing Li, Miao Zhang, Huchuan Lu 1249\n128 15:30 Stacked Cross Refinement Network for Edge-Aware Salient Object Detection Zhe Wu, Li Su, Qingming Huang 3222\n129 15:30 Motion Guided Attention for Video Salient Object Detection Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu 3051\n130 15:30 Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin 2126\n131 15:30 Joint Learning of Semantic Alignment and Object Landmark Detection Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn 6978\n132 15:30 RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect Ruoteng Li, Robby T. Tan, Loong-Fah Cheong, Angelica I. Aviles-Rivero, Qingnan Fan, Carola-Bibiane Schönlieb 2908\n133 15:30 GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing Xiaohong Liu, Yongrui Ma, Zhihao Shi, Jun Chen 1323\n134 15:30 Learning to See Moving Objects in the Dark Haiyang Jiang, Yinqiang Zheng 2857\nScene Understanding 135 15:30 SegSort: Segmentation by Discriminative Sorting of Segments Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen 383\n136 15:30 What Synthesis Is Missing: Depth Adaptation Integrated With Weak Supervision for Indoor Scene Parsing Keng-Chi Liu, Yi-Ting Shen, Jan P. Klopp, Liang-Gee Chen 2391\n137 15:30 AdaptIS: Adaptive Instance Selection Network Konstantin Sofiiuk, Olga Barinova, Anton Konushin 3410\n138 15:30 DADA: Depth-Aware Domain Adaptation in Semantic Segmentation Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez 159\n139 15:30 Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation Christos Sakaridis, Dengxin Dai, Luc Van Gool 921\n140 15:30 SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation Yang Zhou, Zachary While, Evangelos Kalogerakis 3632\n141 15:30 SkyScapes  Fine-Grained Semantic Understanding of Aerial Scenes Seyed Majid Azimi, Corentin Henry, Lars Sommer, Arne Schumann, Eleonora Vig 3556\nLanguage & Reasoning 142 15:30 Transferable Representation Learning in Vision-and-Language Navigation Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhaes, Jason Baldridge, Eugene Ie 6780\n143 15:30 Towards Unsupervised Image Captioning With Shared Multimodal Embeddings Iro Laina, Christian Rupprecht, Nassir Navab 242\n144 15:30 ViCo: Word Embeddings From Visual Co-Occurrences Tanmay Gupta, Alexander Schwing, Derek Hoiem 2312\n145 15:30 Seq-SG2SL: Inferring Semantic Layout From Scene Graph Through Sequence to Sequence Learning Boren Li, Boyu Zhuang, Mingyang Li, Jian Gu 4365\n146 15:30 U-CAM: Visual Explanation Using Uncertainty Based Class Activation Maps Badri N. Patro, Mayank Lunayach, Shivansh Patel, Vinay P. Namboodiri 2214\n147 15:30 See-Through-Text Grouping for Referring Image Segmentation Ding-Jie Chen, Songhao Jia, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu 3315\n148 15:30 VideoBERT: A Joint Model for Video and Language Representation Learning Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid 1714\n149 15:30 Language Features Matter: Effective Language Representations for Vision-Language Tasks Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer 3652\n3D From Multiview & Sensors 150 15:30 Semantic Stereo Matching With Pyramid Cost Volumes Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang, Lili Ju 585\n151 15:30 Learning Relationships for Multi-View 3D Object Recognition Ze Yang, Liwei Wang 4721\n152 15:30 View N-Gram Network for 3D Object Retrieval Xinwei He, Tengteng Huang, Song Bai, Xiang Bai 1926\n153 15:30 Expert Sample Consensus Applied to Camera Re-Localization Eric Brachmann, Carsten Rother 3443\n154 15:30 Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data Yutong Bai, Qing Liu, Lingxi Xie, Weichao Qiu, Yan Zheng, Alan L. Yuille 2132\n155 15:30 Dynamic Points Agglomeration for Hierarchical Point Sets Learning Jinxian Liu, Bingbing Ni, Caiyuan Li, Jiancheng Yang, Qi Tian 1005\nImage & Video Synthesis 156 15:30 Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints Ning Yu, Larry S. Davis, Mario Fritz 2010\n157 15:30 Dual Adversarial Inference for Text-to-Image Synthesis Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di Jorio, Thomas Fevens 2547\n158 15:30 View-LSTM: Novel-View Video Synthesis Through View Decomposition Mohamed Ilyes Lakhal, Oswald Lanz, Andrea Cavallaro 6009\n159 15:30 HoloGAN: Unsupervised Learning of 3D Representations From Natural Images Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, Yong-Liang Yang 5005\n160 15:30 Unpaired Image-to-Speech Synthesis With Multimodal Information Bottleneck Shuang Ma, Daniel McDuff, Yale Song 6289\n161 15:30 Improved Conditional VRNNs for Video Prediction Lluis Castrejon, Nicolas Ballas, Aaron Courville 4093\n162 15:30 Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery Xiaosheng Yan, Feigege Wang, Wenxi Liu, Yuanlong Yu, Shengfeng He, Jia Pan 3998\nFriday, November 1, 2019, 0900–1030 Oral 4.1A (Hall D1) Natalia Neverova (Facebook AI Research), Jaesik Park (POSTECH)\nSingle-View 3D Modeling, Pose Estimation 1 09:00 Learning Single Camera Depth Estimation Using Dual-Pixels [Video] Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron 1334\n2 09:05 Domain-Adaptive Single-View 3D Reconstruction [Video] Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn 6367\n3 09:10 Transformable Bottleneck Networks [Video] Kyle Olszewski, Sergey Tulyakov, Oliver Woodford, Hao Li, Linjie Luo 809\n4 09:18 RIO: 3D Object Instance Re-Localization in Changing Indoor Environments [Video] Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Nießner 1206\n5 09:23 Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation [Video] Kiru Park, Timothy Patten, Markus Vincze 4067\n6 09:28 CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation [Video] Zhigang Li, Gu Wang, Xiangyang Ji 2230\n7 09:36 C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion [Video] David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi 17\n8 09:41 Learning to Reconstruct 3D Manhattan Wireframes From a Single Image [Video] Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma 1585\n9 09:46 Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning [Video] Shichen Liu, Tianye Li, Weikai Chen, Hao Li 4199\n10 09:54 Learnable Triangulation of Human Pose [Video] Karim Iskakov, Egor Burkov, Victor Lempitsky, Yury Malkov 5696\n11 09:59 xR-EgoPose: Egocentric 3D Human Pose From an HMD Camera [Video] Denis Tome, Patrick Peluse, Lourdes Agapito, Hernan Badino 879\n12 10:04 DeepHuman: 3D Human Reconstruction From a Single Image [Video] Zerong Zheng, Tao Yu, Yixuan Wei, Qionghai Dai, Yebin Liu 4289\n13 10:12 A Neural Network for Detailed Human Depth Estimation From a Single Image [Video] Sicong Tang, Feitong Tan, Kelvin Cheng, Zhaoyang Li, Siyu Zhu, Ping Tan 3239\n14 10:17 DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare [Video] Yuanlu Xu, Song-Chun Zhu, Tony Tung 2160\n15 10:22 Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts [Video] Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao 3185\nFriday, November 1, 2019, 0900–1030 Oral 4.1B (Hall D2) Min H. Kim (KAIST), Imari Sato (National Institute of Informatics)\nComputational Photography 16 09:00 Extreme View Synthesis [Video] Inchang Choi, Orazio Gallo, Alejandro Troccoli, Min H. Kim, Jan Kautz 238\n17 09:05 View Independent Generative Adversarial Network for Novel View Synthesis [Video] Xiaogang Xu, Ying-Cong Chen, Jiaya Jia 6929\n18 09:10 Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion [Video] Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu, Xiaoyun Yang 2610\n19 09:18 View-Consistent 4D Light Field Superpixel Segmentation [Video] Numair Khan, Qian Zhang, Lucas Kasser, Henry Stone, Min H. Kim, James Tompkin 6398\n20 09:23 GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition [Video] Hao Zhou, Xiang Yu, David W. Jacobs 2288\n21 09:28 Surface Normals and Shape From Water [Video] Satoshi Murai, Meng-Yu Jennifer Kuo, Ryo Kawahara, Shohei Nobuhara, Ko Nishino 3867\n22 09:36 Restoration of Non-Rigidly Distorted Underwater Images Using a Combination of Compressive Sensing and Local Polynomial Image Representations [Video] Jerin Geo James, Pranay Agrawal, Ajit Rajwade 2355\n23 09:41 Learning Perspective Undistortion of Portraits [Video] Yajie Zhao, Zeng Huang, Tianye Li, Weikai Chen, Chloe LeGendre, Xinglei Ren, Ari Shapiro, Hao Li 3593\n24 09:46 Towards Photorealistic Reconstruction of Highly Multiplexed Lensless Images [Video] Salman S. Khan, Adarsh V. R., Vivek Boominathan, Jasper Tan, Ashok Veeraraghavan, Kaushik Mitra 5952\n25 09:54 Unconstrained Motion Deblurring for Dual-Lens Cameras [Video] M. R. Mahesh Mohan, Sharath Girish, A. N. Rajagopalan 6329\n26 09:59 Stochastic Exposure Coding for Handling Multi-ToF-Camera Interference [Video] Jongho Lee, Mohit Gupta 3180\n27 10:04 Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator [Video] Byeongjoo Ahn, Akshat Dave, Ashok Veeraraghavan, Ioannis Gkioulekas, Aswin C. Sankaranarayanan 1211\n28 10:12 Agile Depth Sensing Using Triangulation Light Curtains [Video] Joseph R. Bartels, Jian Wang, William "Red" Whittaker, Srinivasa G. Narasimhan 1675\n29 10:17 Asynchronous Single-Photon 3D Imaging [Video] Anant Gupta, Atul Ingle, Mohit Gupta 1166\nFriday, November 1, 2019, 1030–1300 Poster 4.1 (Hall B)\nDeep Learning 30 10:30 Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin, Yu-Chiang Frank Wang 1182\n31 10:30 A Learned Representation for Scalable Vector Graphics Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens 6433\n32 10:30 ELF: Embedded Localisation of Features in Pre-Trained CNN Assia Benbihi, Matthieu Geist, Cédric Pradalier 3882\n33 10:30 Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler 4112\n34 10:30 Sampling Wisely: Deep Image Embedding by Top-K Precision Optimization Jing Lu, Chaofan Xu, Wei Zhang, Ling-Yu Duan, Tao Mei 5302\n35 10:30 On the Global Optima of Kernelized Adversarial Representation Learning Bashir Sadeghi, Runyi Yu, Vishnu Boddeti 5016\n36 10:30 Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets Riccardo Volpi, Vittorio Murino 2511\n37 10:30 Attract or Distract: Exploit the Margin of Open Set Qianyu Feng, Guoliang Kang, Hehe Fan, Yi Yang 37\n38 10:30 MIC: Mining Interclass Characteristics for Improved Metric Learning Karsten Roth, Biagio Brattoli, Björn Ommer 2266\n39 10:30 Self-Supervised Representation Learning via Neighborhood-Relational Encoding Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli 1552\n40 10:30 AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation Mohammad Tavakolian, Hamed R. Tavakoli, Abdenour Hadid 2622\n41 10:30 Bilinear Attention Networks for Person Retrieval Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi 3749\n42 10:30 Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification Sanping Zhou, Fei Wang, Zeyi Huang, Jinjun Wang 2337\n43 10:30 Semi-Supervised Domain Adaptation via Minimax Entropy Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko 1971\n44 10:30 Boosting Few-Shot Visual Learning With Self-Supervision Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord 4124\n45 10:30 FDA: Feature Disruptive Attack Aditya Ganeshan, Vivek B.S., R. Venkatesh Babu 2436\n46 10:30 A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao 3767\n47 10:30 Cross-View Policy Learning for Street Navigation Ang Li, Huiyi Hu, Piotr Mirowski, Mehrdad Farajtabar 2470\n48 10:30 Learning Across Tasks and Domains Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi Di Stefano 3494\n49 10:30 EMPNet: Neural Localisation and Mapping Using Embedded Memory Points Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond 3734\n50 10:30 AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations Guo-Jun Qi, Liheng Zhang, Chang Wen Chen, Qi Tian 2603\n51 10:30 Deep Comprehensive Correlation Mining for Image Clustering Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha 1163\n52 10:30 Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani, Mike Haley 3107\n53 10:30 Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Tianyi Zhou, Qinghua Hu 1200\n54 10:30 Geometric Disentanglement for Generative Latent Shape Models Tristan Aumentado-Armstrong, Stavros Tsogkas, Allan Jepson, Sven Dickinson 4094\n55 10:30 GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, R. Venkatesh Babu 3932\n56 10:30 GODS: Generalized One-Class Discriminative Subspaces for Anomaly Detection Jue Wang, Anoop Cherian 943\n57 10:30 Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou 1001\nRecognition 58 10:30 Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification Xinyu Zhang, Jiewei Cao, Chunhua Shen, Mingyu You 2919\n59 10:30 SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Xian Sun, Kun Fu 1291\n60 10:30 Cross-X Learning for Fine-Grained Visual Categorization Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry S. Davis, Jun Li, Jian Yang, Ser-Nam Lim 2291\n61 10:30 Maximum-Margin Hamming Hashing Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu 1031\n62 10:30 Conservative Wasserstein Training for Pose Estimation Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, B.V.K. Vijaya Kumar 406\n63 10:30 Learning to Rank Proposals for Object Detection Zhiyu Tan, Xuecheng Nie, Qi Qian, Nan Li, Hao Li 4285\n64 10:30 Vehicle Re-Identification With Viewpoint-Aware Metric Learning Ruihang Chu, Yifan Sun, Yadong Li, Zheng Liu, Chi Zhang, Yichen Wei 3036\n65 10:30 WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao, Lei Zhang 3260\n66 10:30 Localization of Deep Inpainting Using High-Pass Fully Convolutional Network Haodong Li, Jiwu Huang 4666\n67 10:30 Clustered Object Detection in Aerial Images Fan Yang, Heng Fan, Peng Chu, Erik Blasch, Haibin Ling 4194\n68 10:30 Unsupervised Graph Association for Person Re-Identification Jinlin Wu, Yang Yang, Hao Liu, Shengcai Liao, Zhen Lei, Stan Z. Li 2077\n69 10:30 Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization Lianbo Zhang, Shaoli Huang, Wei Liu, Dacheng Tao 5465\n70 10:30 advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Zhibo Wang, Siyan Zheng, Mengkai Song, Qian Wang, Alireza Rahimpour, Hairong Qi 2525\n71 10:30 ABD-Net: Attentive but Diverse Person Re-Identification Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang 4330\n72 10:30 From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen 3286\n73 10:30 Towards Precise End-to-End Weakly Supervised Object Detection Network Ke Yang, Dongsheng Li, Yong Dou 1581\n74 10:30 Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai 768\n75 10:30 Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss Sudong Cai, Yulan Guo, Salman Khan, Jiwei Hu, Gongjian Wen 3372\n76 10:30 Learning to Discover Novel Visual Categories via Deep Transfer Clustering Kai Han, Andrea Vedaldi, Andrew Zisserman 281\n77 10:30 AM-LFS: AutoML for Loss Function Search Chuming Li, Xin Yuan, Chen Lin, Minghao Guo, Wei Wu, Junjie Yan, Wanli Ouyang 4712\n78 10:30 Few-Shot Object Detection via Feature Reweighting Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell 1616\n79 10:30 Objects365: A Large-Scale, High-Quality Dataset for Object Detection Shuai Shao, Zeming Li, Tianyuan Zhang, Chao Peng, Gang Yu, Xiangyu Zhang, Jing Li, Jian Sun 596\n80 10:30 Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network Wenhai Wang, Enze Xie, Xiaoge Song, Yuhang Zang, Wenjia Wang, Tong Lu, Gang Yu, Chunhua Shen 4305\n81 10:30 Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification Lingxiao He, Yinggang Wang, Wu Liu, He Zhao, Zhenan Sun, Jiashi Feng 5853\n82 10:30 Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning Fusheng Hao, Fengxiang He, Jun Cheng, Lei Wang, Jianzhong Cao, Dacheng Tao 3419\nSegmentation, Grouping, & Shape 83 10:30 Bayesian Adaptive Superpixel Segmentation Roy Uziel, Meitar Ronen, Oren Freifeld 1879\n84 10:30 CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing Kevin Duarte, Yogesh S. Rawat, Mubarak Shah 5136\n85 10:30 Bae-Net: Branched Autoencoder for Shape Co-Segmentation Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang 4130\n86 10:30 VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation Hsien-Yu Meng, Lin Gao, Yu-Kun Lai, Dinesh Manocha 1057\n87 10:30 Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images Huan Wang, Luping Zhou, Lei Wang 4248\n88 10:30 Group-Wise Deep Object Co-Segmentation With Co-Attention Recurrent Neural Network Bo Li, Zhengxing Sun, Qian Li, Yunjie Wu, Anqi Hu 3462\nStatistics, Physics, Theory & Datasets 89 10:30 Human Attention in Image Captioning: Dataset and Analysis Sen He, Hamed R. Tavakoli, Ali Borji, Nicolas Pugeault 2248\n90 10:30 Variational Uncalibrated Photometric Stereo Under General Lighting Bjoern Haefner, Zhenzhang Ye, Maolin Gao, Tao Wu, Yvain Quéau, Daniel Cremers 1335\n91 10:30 SPLINE-Net: Sparse Photometric Stereo Through Lighting Interpolation and Normal Estimation Networks Qian Zheng, Yiming Jia, Boxin Shi, Xudong Jiang, Ling-Yu Duan, Alex C. Kot 2980\n92 10:30 Hyperspectral Image Reconstruction Using Deep External and Internal Learning Tao Zhang, Ying Fu, Lizhi Wang, Hua Huang 4846\n93 10:30 Gravity as a Reference for Estimating a Person’s Height From Video Didier Bieler, Semih Günel, Pascal Fua, Helge Rhodin 6294\n94 10:30 Shadow Removal via Shadow Image Decomposition Hieu Le, Dimitris Samaras 2450\n95 10:30 OperatorNet: Recovering 3D Shapes From Difference Operators Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov 5880\n96 10:30 Neural Inverse Rendering of an Indoor Scene From a Single Image Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, Jan Kautz 3544\n3D From Single View & RGBD 97 10:30 ForkNet: Multi-Branch Volumetric Semantic Completion From a Single Depth Image Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari 5704\n98 10:30 Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng 1850\n99 10:30 GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion Anh-Duc Nguyen, Seonghwa Choi, Woojae Kim, Sanghoon Lee 351\n100 10:30 Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense Yixin Chen, Siyuan Huang, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu 3359\nAction & Video 101 10:30 MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding Quan Kong, Ziming Wu, Ziwei Deng, Martin Klinkigt, Bin Tong, Tomokazu Murakami 5961\n102 10:30 HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization Hang Zhao, Antonio Torralba, Lorenzo Torresani, Zhicheng Yan 964\n103 10:30 3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao 4007\n104 10:30 Grounded Human-Object Interaction Hotspots From Video Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman 1638\n105 10:30 Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs Lei Wang, Piotr Koniusz, Du Q. Huynh 2979\nComputational Photography & Graphics 106 10:30 Learning to Paint With Model-Based Deep Reinforcement Learning Zhewei Huang, Wen Heng, Shuchang Zhou 1874\n107 10:30 Neural Re-Simulation for Generating Bounces in Single Images Carlo Innamorati, Bryan Russell, Danny M. Kaufman, Niloy J. Mitra 5023\n108 10:30 Deep Appearance Maps Maxim Maximov, Laura Leal-Taixé, Mario Fritz, Tobias Ritschel 4021\n109 10:30 GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua 701\n110 10:30 Joint Embedding of 3D Scan and CAD Objects Manuel Dahnert, Angela Dai, Leonidas J. Guibas, Matthias Nießner 2732\n111 10:30 CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition Nadav Schor, Oren Katzir, Hao Zhang, Daniel Cohen-Or 1643\n112 10:30 DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals Chiyu "Max" Jiang, Dana Lansigan, Philip Marcus, Matthias Nießner 3695\n113 10:30 Composite Shape Modeling via Latent Space Factorization Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Raphaël Groscot, Leonidas J. Guibas 827\nLow-Level & Optimization 114 10:30 EGNet: Edge Guidance Network for Salient Object Detection Jia-Xing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng 1596\n115 10:30 SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling David Berga, Xosé R. Fdez-Vidal, Xavier Otazu, Xosé M. Pardo 1404\n116 10:30 Two-Stream Action Recognition-Oriented Video Super-Resolution Haochen Zhang, Dong Liu, Zhiwei Xiong 5215\n117 10:30 Where Is My Mirror? Xin Yang, Haiyang Mei, Ke Xu, Xiaopeng Wei, Baocai Yin, Rynson W.H. Lau 5844\n118 10:30 Disentangled Image Matting Shaofan Cai, Xiaoshuai Zhang, Haoqiang Fan, Haibin Huang, Jiangyu Liu, Jiaming Liu, Jiaying Liu, Jue Wang, Jian Sun 1381\n119 10:30 Guided Super-Resolution As Pixel-to-Pixel Transformation Riccardo de Lutio, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler 6423\n120 10:30 Deep Learning for Light Field Saliency Detection Tiantian Wang, Yongri Piao, Xiao Li, Lihe Zhang, Huchuan Lu 6622\n121 10:30 Optimizing the F-Measure for Threshold-Free Salient Object Detection Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-Ming Cheng 1406\n122 10:30 Image Inpainting With Learnable Bidirectional Attention Maps Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding 3220\n123 10:30 Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images Thibaud Ehret, Axel Davy, Pablo Arias, Gabriele Facciolo 4702\n124 10:30 DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang 4861\nLanguage & Reasoning 125 10:30 Reflective Decoding Network for Image Captioning Lei Ke, Wenjie Pei, Ruiyu Li, Xiaoyong Shen, Yu-Wing Tai 3813\n126 10:30 Joint Optimization for Cooperative Image Captioning Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik 4925\n127 10:30 Watch, Listen and Tell: Multi-Modal Weakly Supervised Dense Event Captioning Tanzila Rahman, Bicheng Xu, Leonid Sigal 5184\n128 10:30 Joint Syntax Representation Learning and Visual Cue Translation for Video Captioning Jingyi Hou, Xinxiao Wu, Wentian Zhao, Jiebo Luo, Yunde Jia 2017\n129 10:30 Entangled Transformer for Image Captioning Guang Li, Linchao Zhu, Ping Liu, Yi Yang 2359\n130 10:30 Shapeglot: Learning Language for Shape Differentiation Panos Achlioptas, Judy Fan, Robert Hawkins, Noah Goodman, Leonidas J. Guibas 2872\n131 10:30 Nocaps: Novel Object Captioning at Scale Harsh Agrawal, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee, Peter Anderson 31\n3D From Multiview & Sensors 132 10:30 Fully Convolutional Geometric Features Christopher Choy, Jaesik Park, Vladlen Koltun 3655\n133 10:30 Learning Local RGB-to-CAD Correspondences for Object Pose Estimation Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jana Košecká 1967\n134 10:30 Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova 5444\n135 10:30 OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Changhee Won, Jongbin Ryu, Jongwoo Lim 4237\n136 10:30 On the Over-Smoothing Problem of CNN Based Disparity Estimation Chuangrong Chen, Xiaozhi Chen, Hui Cheng 1970\n137 10:30 Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang, Lili Ju 1062\nImage & Video Synthesis 138 10:30 Disentangling Propagation and Generation for Video Prediction Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell 69\n139 10:30 Guided Image-to-Image Translation With Bi-Directional Feature Transformation Badour AlBahar, Jia-Bin Huang 409\n140 10:30 Towards Multi-Pose Guided Virtual Try-On Network Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin 1574\n141 10:30 Photorealistic Style Transfer via Wavelet Transforms Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha 3743\n142 10:30 Personalized Fashion Design Cong Yu, Yang Hu, Yan Chen, Bing Zeng 4406\n143 10:30 Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo 2830\n144 10:30 Free-Form Video Inpainting With 3D Gated Convolution and Temporal PatchGAN Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston Hsu 1485\nApplications, Medical & Robotics 145 10:30 TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting Wei Feng, Wenhao He, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu 727\n146 10:30 Chinese Street View Text: Large-Scale Chinese Text Reading With Partially Supervised Learning Yipeng Sun, Jiaming Liu, Wei Liu, Junyu Han, Errui Ding, Jingtuo Liu 2402\n147 10:30 Deep Floor Plan Recognition Using a Multi-Task Network With Room-Boundary-Guided Attention Zhiliang Zeng, Xianzhi Li, Ying Kin Yu, Chi-Wing Fu 3762\n148 10:30 GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition Fangneng Zhan, Chuhui Xue, Shijian Lu 187\n149 10:30 Large-Scale Tag-Based Font Retrieval With Generative Feature Learning Tianlang Chen, Zhaowen Wang, Ning Xu, Hailin Jin, Jiebo Luo 3128\n150 10:30 Convolutional Character Networks Linjie Xing, Zhi Tian, Weilin Huang, Matthew R. Scott 5903\n151 10:30 Geometry Normalization Networks for Accurate Scene Text Detection Youjiang Xu, Jiaqi Duan, Zhanghui Kuang, Xiaoyu Yue, Hongbin Sun, Yue Guan, Wayne Zhang 4009\n152 10:30 Symmetry-Constrained Rectification Network for Scene Text Recognition Mingkun Yang, Yushuo Guan, Minghui Liao, Xin He, Kaigui Bian, Song Bai, Cong Yao, Xiang Bai 258\n153 10:30 Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method Vishwanath A. Sindagi, Rajeev Yasarla, Vishal M. Patel 1097\nFriday, November 1, 2019, 1330–1530 Oral 4.2A (Hall D1) Lourdes Agapito (Univ. College London), Minsu Cho (POSTECH)\nSegmentation, Detection, 3D Scene Understanding 1 13:30 YOLACT: Real-Time Instance Segmentation [Video] Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee 1384\n2 13:35 Expectation-Maximization Attention Networks for Semantic Segmentation [Video] Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu 1583\n3 13:40 Multi-Class Part Parsing With Joint Boundary-Semantic Awareness [Video] Yifan Zhao, Jia Li, Yu Zhang, Yonghong Tian 361\n4 13:48 Explaining Neural Networks Semantically and Quantitatively [Video] Runjin Chen, Hao Chen, Jie Ren, Ge Huang, Quanshi Zhang 3492\n5 13:53 PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment [Video] Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng 3468\n6 13:58 ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors [Video] Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin 2768\n7 14:06 Sequence Level Semantics Aggregation for Video Object Detection [Video] Haiping Wu, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang 2032\n8 14:11 Video Object Segmentation Using Space-Time Memory Networks [Video] Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim 2838\n9 14:16 Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks [Video] Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao 2842\n10 14:24 MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences [Video] Xingyu Liu, Mengyuan Yan, Jeannette Bohg 1168\n11 14:29 3D Instance Segmentation via Multi-Task Metric Learning [Video] Jean Lahoud, Bernard Ghanem, Marc Pollefeys, Martin R. Oswald 5052\n12 14:34 DeepGCNs: Can GCNs Go As Deep As CNNs? [Video] Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem 153\n13 14:42 Deep Hough Voting for 3D Object Detection in Point Clouds [Video] Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas 1861\n14 14:47 M3D-RPN: Monocular 3D Region Proposal Network for Object Detection [Video] Garrick Brazil, Xiaoming Liu 6744\n15 14:52 SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences [Video] Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Jürgen Gall 2944\n16 15:00 WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving [Video] Senthil Yogamani, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Padraig Varley, Derek O'Dea, Michal Uřičář, Stefan Milz, Martin Simon, Karl Amende, Christian Witt, Hazem Rashed, Sumanth Chennupati, Sanjaya Nayak, Saquib Mansoor, Xavier Perrotton, Patrick Pérez 630\n17 15:05 Scalable Place Recognition Under Appearance Change for Autonomous Driving [Video] Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian Reid 3667\n18 15:10 Exploring the Limitations of Behavior Cloning for Autonomous Driving [Video] Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon 3693\n19 15:15 Habitat: A Platform for Embodied AI Research [Video] Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra 4367\nFriday, November 1, 2019, 1330–1530 Oral 4.2B (Hall D2) Victor Lempitsky (Samsung), Yu-Chiang Frank Wang (National Taiwan Univ.)\nFace & Body Modeling 20 13:30 Towards Interpretable Face Recognition [Video] Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, Xiaoming Liu 1788\n21 13:35 Co-Mining: Deep Face Recognition With Noisy Labels [Video] Xiaobo Wang, Shuo Wang, Jun Wang, Hailin Shi, Tao Mei 1562\n22 13:40 Few-Shot Adaptive Gaze Estimation [Video] Seonwook Park, Shalini De Mello, Pavlo Molchanov, Umar Iqbal, Otmar Hilliges, Jan Kautz 1112\n23 13:48 Live Face De-Identification in Video [Video] Oran Gafni, Lior Wolf, Yaniv Taigman 1077\n24 13:53 Face Video Deblurring Using 3D Facial Priors [Video] Wenqi Ren, Jiaolong Yang, Senyou Deng, David Wipf, Xiaochun Cao, Xin Tong 428\n25 13:58 Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer [Video] Jingtan Piao, Chen Qian, Hongsheng Li 1854\n26 14:06 3D Face Modeling From Diverse Raw Scan Data [Video] Feng Liu, Luan Tran, Xiaoming Liu 722\n27 14:11 A Decoupled 3D Facial Shape Model by Adversarial Training [Video] Victoria Fernández Abrevaya, Adnane Boukhayma, Stefanie Wuhrer, Edmond Boyer 2899\n28 14:16 Photo-Realistic Facial Details Synthesis From Single Image [Video] Anpei Chen, Zhang Chen, Guli Zhang, Kenny Mitchell, Jingyi Yu 1590\n29 14:24 S2GAN: Share Aging Factors Across Ages and Share Aging Trends Among Individuals [Video] Zhenliang He, Meina Kan, Shiguang Shan, Xilin Chen 490\n30 14:29 PuppetGAN: Cross-Domain Image Manipulation by Demonstration [Video] Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler 502\n31 14:34 Few-Shot Adversarial Learning of Realistic Neural Talking Head Models [Video] Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor Lempitsky 4563\n32 14:42 Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection [Video] Bo Wan, Desen Zhou, Yongfei Liu, Rongjie Li, Xuming He 3547\n33 14:47 TRB: A Novel Triplet Representation for Understanding 2D Human Body [Video] Haodong Duan, Kwan-Yee Lin, Sheng Jin, Wentao Liu, Chen Qian, Wanli Ouyang 3786\n34 14:52 Learning Trajectory Dependencies for Human Motion Prediction [Video] Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li 3937\n35 14:57 Cross-Domain Adaptation for Animal Pose Estimation [Video] Jinkun Cao, Hongyang Tang, Hao-Shu Fang, Xiaoyong Shen, Cewu Lu, Yu-Wing Tai 1570\nFriday, November 1, 2019, 1530–1800 Poster 4.2 (Hall B)\nRecognition 36 15:30 NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia 5454\n37 15:30 Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy Qing Yu, Kiyoharu Aizawa 5455\n38 15:30 SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification Yan Huang, Qiang Wu, JingSong Xu, Yi Zhong 4485\n39 15:30 Enriched Feature Guided Refinement Network for Object Detection Jing Nie, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao 813\n40 15:30 Deep Meta Metric Learning Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou 1040\n41 15:30 Discriminative Feature Transformation for Occluded Pedestrian Detection Chunluan Zhou, Ming Yang, Junsong Yuan 3834\n42 15:30 Contextual Attention for Hand Detection in the Wild Supreeth Narasimhaswamy, Zhengwei Wei, Yang Wang, Justin Zhang, Minh Hoai 4971\n43 15:30 Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin 1535\n44 15:30 Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao 3398\n45 15:30 Presence-Only Geographical Priors for Fine-Grained Image Classification Oisin Mac Aodha, Elijah Cole, Pietro Perona 3674\n46 15:30 POD: Practical Object Detection With Scale-Sensitive Network Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan 5684\n47 15:30 Human Uncertainty Makes Classification More Robust Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky 6284\n48 15:30 FCOS: Fully Convolutional One-Stage Object Detection Zhi Tian, Chunhua Shen, Hao Chen, Tong He 445\n49 15:30 Self-Critical Attention Learning for Person Re-Identification Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, Jie Zhou 1046\n50 15:30 Temporal Knowledge Propagation for Image-to-Video Person Re-Identification Xinqian Gu, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen 1370\n51 15:30 RepPoints: Point Set Representation for Object Detection Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin 3001\n52 15:30 SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, Yazhou Yao 4526\n53 15:30 No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques Tanmay Gupta, Alexander Schwing, Derek Hoiem 2458\n54 15:30 Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent 2638\n55 15:30 No Fear of the Dark: Image Retrieval Under Varying Illumination Conditions Tomas Jenicek, Ondřej Chum 4874\n56 15:30 Hierarchical Shot Detector Jiale Cao, Yanwei Pang, Jungong Han, Xuelong Li 2563\n57 15:30 Few-Shot Learning With Global Class Representations Aoxue Li, Tiange Luo, Tao Xiang, Weiran Huang, Liwei Wang 2267\n58 15:30 Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo, Gunhee Kim 5127\n59 15:30 Weakly Supervised Object Detection With Segmentation Collaboration Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin Chen 855\n60 15:30 AutoFocus: Efficient Multi-Scale Inference Mahyar Najibi, Bharat Singh, Larry S. Davis 2286\n61 15:30 Leveraging Long-Range Temporal Relationships Between Proposals for Video Object Detection Mykhailo Shvets, Wei Liu, Alexander C. Berg 6430\n62 15:30 Transferable Contrastive Network for Generalized Zero-Shot Learning Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen 2323\n63 15:30 Fast Point R-CNN Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia 5863\n64 15:30 Mesh R-CNN Georgia Gkioxari, Jitendra Malik, Justin Johnson 2473\n65 15:30 Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong 836\n66 15:30 Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes Hao Yang, Hao Wu, Hao Chen 3110\n67 15:30 Re-ID Driven Localization Refinement for Person Search Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang 2024\n68 15:30 Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost Huu Le, Ming Xu, Tuan Hoang, Michael Milford 3662\n69 15:30 C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection Yan Gao, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan 3723\n70 15:30 Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal 1990\n71 15:30 Deep Constrained Dominant Sets for Person Re-Identification Leulseged Tesfaye Alemu, Marcello Pelillo, Mubarak Shah 3272\n72 15:30 Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji, João F. Henriques, Andrea Vedaldi 3193\nStatistics, Physics, Theory & Datasets 73 15:30 Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering Masataka Yamaguchi, Go Irie, Takahito Kawanishi, Kunio Kashino 4366\n74 15:30 Order-Preserving Wasserstein Discriminant Analysis Bing Su, Jiahuan Zhou, Ying Wu 2886\n75 15:30 LayoutVAE: Stochastic Scene Layout Generation From a Label Set Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori 1245\n76 15:30 Robust Variational Bayesian Point Set Registration Jie Zhou, Xinke Ma, Li Liang, Yang Yang, Shijin Xu, Yuhe Liu, Sim-Heng Ong 4022\n77 15:30 Is an Affine Constraint Needed for Affine Subspace Clustering? Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal 4088\n78 15:30 Meta-Learning to Detect Rare Objects Yu-Xiong Wang, Deva Ramanan, Martial Hebert 5223\n79 15:30 New Convex Relaxations for MRF Inference With Unknown Graphs Zhenhua Wang, Tong Liu, Qinfeng Shi, M. Pawan Kumar, Jianhua Zhang 4928\n80 15:30 Cluster Alignment With a Teacher for Unsupervised Domain Adaptation Zhijie Deng, Yucen Luo, Jun Zhu 2613\n81 15:30 Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction Luca Anthony Thiede, Pratik Prabhanjan Brahma 6578\n3D From Single View & RGBD 82 15:30 Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, Kui Jia 2601\n83 15:30 UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely 1442\n84 15:30 Escaping Plato’s Cave: 3D Shape From Adversarial Rendering Philipp Henzler, Niloy J. Mitra, Tobias Ritschel 2235\n85 15:30 Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module Di Qiu, Jiahao Pang, Wenxiu Sun, Chengxi Yang 3514\n86 15:30 GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images Erickson R. Nascimento, Guilherme Potje, Renato Martins, Felipe Cadar, Mario F. M. Campos, Ruzena Bajcsy 5114\n87 15:30 CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark Alan Lukežič, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiří Matas, Matej Kristan 1743\n88 15:30 Learning Joint 2D-3D Representations for Depth Completion Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun 1104\nFace & Body 89 15:30 Make a Face: Towards Arbitrary High Fidelity Face Manipulation Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He 782\n90 15:30 M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis Peipei Li, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun 446\n91 15:30 Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition Bingyu Liu, Weihong Deng, Yaoyao Zhong, Mei Wang, Jiani Hu, Xunqiang Tao, Yaohai Huang 3821\n92 15:30 Face De-Occlusion Using 3D Morphable Model and Generative Adversarial Network Xiaowei Yuan, In Kyu Park 3750\n93 15:30 Detecting Photoshopped Faces by Scripting Photoshop Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros 1648\n94 15:30 Ego-Pose Estimation and Forecasting As Real-Time PD Control Ye Yuan, Kris Kitani 1096\n95 15:30 End-to-End Learning for Graph Decomposition Jie Song, Bjoern Andres, Michael J. Black, Otmar Hilliges, Siyu Tang 2661\n96 15:30 Laplace Landmark Localization Joseph P. Robinson, Yuncheng Li, Ning Zhang, Yun Fu, Sergey Tulyakov 3137\n97 15:30 Through-Wall Human Mesh Recovery Using Radio Signals Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Tianhong Li, Hang Zhao, Antonio Torralba, Dina Katabi 6700\n98 15:30 Discriminatively Learned Convex Models for Set Based Face Recognition Hakan Cevikalp, Golara Ghorban Dordinejad 4079\n99 15:30 Camera Distance-Aware Top-Down Approach for 3D Multi-Person Pose Estimation From a Single RGB Image Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee 4267\n100 15:30 Context-Aware Emotion Recognition Networks Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, Kwanghoon Sohn 5700\n101 15:30 Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces Felix Kuhnke, Jörn Ostermann 6072\nComputational Photography & Graphics 102 15:30 Flare in Interference-Based Hyperspectral Cameras Eden Sassoon, Yoav Y. Schechner, Tali Treibitz 3464\n103 15:30 Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery Shipeng Zhang, Lizhi Wang, Ying Fu, Xiaoming Zhong, Hua Huang 1139\n104 15:30 Deep Optics for Monocular Depth Estimation and 3D Object Detection Julie Chang, Gordon Wetzstein 1439\n105 15:30 Physics-Based Rendering for Improving Robustness to Rain Shirsendu Sukanta Halder, Jean-François Lalonde, Raoul de Charette 6981\n106 15:30 ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao 4787\n107 15:30 Deep Tensor ADMM-Net for Snapshot Compressive Imaging Jiawei Ma, Xiao-Yang Liu, Zheng Shou, Xin Yuan 375\nLow-Level & Optimization 108 15:30 Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool 5062\n109 15:30 Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation Christopher Zach, Guillaume Bourmaud 3095\n110 15:30 K-Best Transformation Synchronization Yifan Sun, Jiacheng Zhuo, Arnav Mohan, Qixing Huang 719\n111 15:30 Parametric Majorization for Data-Driven Energy Minimization Methods Jonas Geiping, Michael Moeller 6258\n112 15:30 A Bayesian Optimization Framework for Neural Network Compression Xingchen Ma, Amal Rannen Triki, Maxim Berman, Christos Sagonas, Jacques Cali, Matthew B. Blaschko 5845\n113 15:30 HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt 691\nLanguage & Reasoning 114 15:30 Language-Conditioned Graph Networks for Relational Reasoning Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko 1119\n115 15:30 Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor 6105\n116 15:30 Relation-Aware Graph Attention Network for Visual Question Answering Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu 3154\n117 15:30 Unpaired Image Captioning via Scene Graph Alignments Jiuxiang Gu, Shafiq Joty, Jianfei Cai, Handong Zhao, Xu Yang, Gang Wang 330\n118 15:30 Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu 1023\n119 15:30 Occlusion-Shared and Feature-Separated Network for Occlusion Relationship Reasoning Rui Lu, Feng Xue, Menghan Zhou, Anlong Ming, Yu Zhou 3402\n120 15:30 Mixture-Kernel Graph Attention Network for Situation Recognition Mohammed Suhail, Leonid Sigal 2454\n121 15:30 Learning Similarity Conditions Without Explicit Supervision Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer 3618\n122 15:30 Joint Prediction for Kinematic Trajectories in Vehicle-Pedestrian-Mixed Scenes Huikun Bi, Zhong Fang, Tianlu Mao, Zhaoqi Wang, Zhigang Deng 397\n123 15:30 Learning to Caption Images Through a Lifetime by Asking Questions Tingke Shen, Amlan Kar, Sanja Fidler 2555\n124 15:30 VrR-VG: Refocusing Visually-Relevant Relationships Yuanzhi Liang, Yalong Bai, Wei Zhang, Xueming Qian, Li Zhu, Tao Mei 2595\n3D From Multiview & Sensors 125 15:30 TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo Andrea Romanoni, Matteo Matteucci 2958\n126 15:30 U4D: Unsupervised 4D Dynamic Scene Understanding Armin Mustafa, Chris Russell, Adrian Hilton 1924\n127 15:30 Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia 2836\n128 15:30 Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker 3658\n129 15:30 P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo Keyang Luo, Tao Guan, Lili Ju, Haipeng Huang, Yawei Luo 1285\nImage & Video Synthesis 130 15:30 SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning Yung-Han Ho, Chuan-Yuan Cho, Wen-Hsiao Peng, Guo-Lun Jin 2683\n131 15:30 ClothFlow: A Flow-Based Model for Clothed Person Generation Xintong Han, Xiaojun Hu, Weilin Huang, Matthew R. Scott 2790\n132 15:30 LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup Qiao Gu, Guanzhi Wang, Mang Tik Chiu, Yu-Wing Tai, Chi-Keung Tang 5321\n133 15:30 Point-to-Point Video Generation Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, Min Sun 226\n134 15:30 Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis Hongchen Tan, Xiuping Liu, Xin Li, Yi Zhang, Baocai Yin 3290\n135 15:30 VTNFP: An Image-Based Virtual Try-On Network With Body and Clothing Feature Preservation Ruiyun Yu, Xiaoqi Wang, Xiaohui Xie 3665\n136 15:30 Boundless: Generative Adversarial Networks for Image Extension Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman 1422\n137 15:30 Image Synthesis From Reconfigurable Layout and Style Wei Sun, Tianfu Wu 178\n138 15:30 Attribute Manipulation Generative Adversarial Networks for Fashion Images Kenan E. Ak, Joo Hwee Lim, Jo Yew Tham, Ashraf A. Kassim 4374\n139 15:30 Few-Shot Unsupervised Image-to-Image Translation Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz 3116\n140 15:30 Very Long Natural Scenery Image Prediction by Outpainting Zongxin Yang, Jian Dong, Ping Liu, Yi Yang, Shuicheng Yan 3554\nApplications, Medical & Robotics 141 15:30 Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains Ronak Mehta, Rudrasis Chakraborty, Yunyang Xiong, Vikas Singh 2163\n142 15:30 A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents Jinwoo Kim, Woojae Kim, Heeseok Oh, Seongmin Lee, Sanghoon Lee 4430\n143 15:30 Learning With Unsure Data for Medical Image Diagnosis Botong Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang 466\n144 15:30 Recursive Cascaded Networks for Unsupervised Medical Image Registration Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu 4449