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ORCIDICCV 2019: Seoul, South Korea
- 2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019. IEEE 2019, ISBN 978-1-7281-4803-8
Poster 1.1
Deep Learning
- Andreas Rössler, Davide Cozzolino
, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner:
FaceForensics++: Learning to Detect Manipulated Facial Images. 1-11 - Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, Shiyu Song:
DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration. 12-21 - Matheus Gadelha, Rui Wang, Subhransu Maji:
Shape Reconstruction Using Differentiable Projections and Deep Priors. 22-30 - Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl:
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. 31-41 - Luwei Yang, Ziqian Bai, Chengzhou Tang, Honghua Li, Yasutaka Furukawa, Ping Tan:
SANet: Scene Agnostic Network for Camera Localization. 42-51 - Pedro Hermosilla Casajus, Tobias Ritschel, Timo Ropinski:
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning. 52-60 - Rizard Renanda Adhi Pramono, Yie-Tarng Chen, Wen-Hsien Fang:
Hierarchical Self-Attention Network for Action Localization in Videos. 61-70 - Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Goal-Driven Sequential Data Abstraction. 71-80 - Roberto Annunziata, Christos Sagonas, Jacques Calì:
Jointly Aligning Millions of Images With Deep Penalised Reconstruction Congealing. 81-90 - Seungmin Lee, Dongwan Kim, Namil Kim, Seong-Gyun Jeong:
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation. 91-100 - Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim:
NLNL: Negative Learning for Noisy Labels. 101-110 - Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang:
Adversarial Robustness vs. Model Compression, or Both? 111-120 - Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin:
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method. 121-130 - Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras, Roy Shilkrot:
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks. 131-140 - Xu Zou, Sheng Zhong, Luxin Yan, Xiangyun Zhao, Jiahuan Zhou, Ying Wu:
Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble. 141-150 - Zitong Yu, Wei Peng, Xiaobai Li, Xiaopeng Hong, Guoying Zhao:
Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement. 151-160 - Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu:
Face-to-Parameter Translation for Game Character Auto-Creation. 161-170 - Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. 171-180 - Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li:
StructureFlow: Image Inpainting via Structure-Aware Appearance Flow. 181-190 - Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang:
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. 191-200 - Zhengxia Zou, Wenyuan Li, Tianyang Shi, Zhenwei Shi, Jieping Ye:
Generative Adversarial Training for Weakly Supervised Cloud Matting. 201-210 - Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang:
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data. 211-220 - Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Generative Adversarial Networks for Extreme Learned Image Compression. 221-231 - Yanbei Chen, Xiatian Zhu, Shaogang Gong:
Instance-Guided Context Rendering for Cross-Domain Person Re-Identification. 232-242 - Mahmoud Afifi, Michael S. Brown:
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance. 243-252 - Patrick Ebel, Eduard Trulls, Kwang Moo Yi, Pascal Fua, Anastasiia Mishchuk:
Beyond Cartesian Representations for Local Descriptors. 253-262 - Muhamad Risqi U. Saputra, Pedro Porto Buarque de Gusmão, Yasin Almalioglu, Andrew Markham, Niki Trigoni:
Distilling Knowledge From a Deep Pose Regressor Network. 263-272 - Kyung-Rae Kim, Whan Choi, Yeong Jun Koh, Seong-Gyun Jeong, Chang-Su Kim:
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression. 273-282 - Hang Zhou, Ziwei Liu, Xudong Xu, Ping Luo, Xiaogang Wang:
Vision-Infused Deep Audio Inpainting. 283-292 - Zhen Dong, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision. 293-302 - Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks. 303-311 - Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. 312-321 - Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey:
Symmetric Cross Entropy for Robust Learning With Noisy Labels. 322-330 - Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training. 331-339 - Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Dual Directed Capsule Network for Very Low Resolution Image Recognition. 340-349 - Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu:
Recognizing Part Attributes With Insufficient Data. 350-360 - Jiaxin Li, Gim Hee Lee:
USIP: Unsupervised Stable Interest Point Detection From 3D Point Clouds. 361-370 - Binghui Chen, Weihong Deng, Jiani Hu:
Mixed High-Order Attention Network for Person Re-Identification. 371-381 - Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci:
Budget-Aware Adapters for Multi-Domain Learning. 382-391 - Tuong Do, Huy Tran, Thanh-Toan Do, Erman Tjiputra, Quang D. Tran:
Compact Trilinear Interaction for Visual Question Answering. 392-401 - Ishan Nigam, Pavel Tokmakov, Deva Ramanan:
Towards Latent Attribute Discovery From Triplet Similarities. 402-410 - Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala:
GeoStyle: Discovering Fashion Trends and Events. 411-420 - Haichao Zhang, Jianyu Wang:
Towards Adversarially Robust Object Detection. 421-430
Recognition
- Junli Zhao, Xin Qi, Chengfeng Wen, Na Lei, Xianfeng Gu:
Automatic and Robust Skull Registration Based on Discrete Uniformization. 431-440 - Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi, Jinhui Tang:
Few-Shot Image Recognition With Knowledge Transfer. 441-449 - Michael Wray, Gabriela Csurka, Diane Larlus, Dima Damen:
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings. 450-459 - Peng Wang, Bingliang Jiao, Lu Yang, Yifei Yang, Shizhou Zhang, Wei Wei, Yanning Zhang:
Vehicle Re-Identification in Aerial Imagery: Dataset and Approach. 460-469 - Krishna Regmi, Mubarak Shah:
Bridging the Domain Gap for Ground-to-Aerial Image Matching. 470-479 - Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready:
A Robust Learning Approach to Domain Adaptive Object Detection. 480-490 - Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos:
Graph-Based Object Classification for Neuromorphic Vision Sensing. 491-501 - Jiwoong Choi, Dayoung Chun, Hyun Kim, Hyuk-Jae Lee:
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving. 502-511 - Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas:
Sharpen Focus: Learning With Attention Separability and Consistency. 512-521 - Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin:
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. 522-531 - Sergey Zakharov, Wadim Kehl, Slobodan Ilic:
DeceptionNet: Network-Driven Domain Randomization. 532-541 - Jiaxu Miao, Yu Wu, Ping Liu, Yuhang Ding, Yi Yang:
Pose-Guided Feature Alignment for Occluded Person Re-Identification. 542-551 - Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Robust Person Re-Identification by Modelling Feature Uncertainty. 552-561 - Arulkumar Subramaniam, Athira M. Nambiar, Anurag Mittal:
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification. 562-572 - Huizi Mao, Xiaodong Yang, Bill Dally:
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell. 573-582 - Eden Belouadah, Adrian Popescu:
IL2M: Class Incremental Learning With Dual Memory. 583-592
Segmentation, Grouping, & Shape
- Zhen Zhu, Mengdu Xu, Song Bai, Tengteng Huang, Xiang Bai:
Asymmetric Non-Local Neural Networks for Semantic Segmentation. 593-602 - Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, Wenyu Liu:
CCNet: Criss-Cross Attention for Semantic Segmentation. 603-612 - Shousheng Luo, Xue-Cheng Tai, Limei Huo, Yang Wang, Roland Glowinski:
Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function. 613-621 - Khoi Nguyen, Sinisa Todorovic:
Feature Weighting and Boosting for Few-Shot Segmentation. 622-631 - Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman:
Surface Networks via General Covers. 632-641 - Naiyu Gao, Yanhu Shan, Yupei Wang, Xin Zhao, Yinan Yu, Ming Yang, Kaiqi Huang:
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid. 642-651 - Sifei Liu, Xueting Li, Varun Jampani, Shalini De Mello, Jan Kautz:
Learning Propagation for Arbitrarily-Structured Data. 652-661 - Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Sim Heng Ong, Jiashi Feng:
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input. 662-670 - Federica Arrigoni, Tomás Pajdla:
Robust Motion Segmentation From Pairwise Matches. 671-681 - Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yonglu Li, Cewu Lu:
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. 682-691
Face & Body
- Mei Wang, Weihong Deng, Jiani Hu, Xunqiang Tao, Yaohai Huang:
Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network. 692-702 - Jingxiao Zheng, Ruichi Yu, Jun-Cheng Chen, Boyu Lu, Carlos Domingo Castillo, Rama Chellappa:
Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition. 703-712 - Xingxuan Zhang, Feng Cheng, Shilin Wang:
Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading. 713-722 - Yu Cheng, Bo Yang, Bo Wang, Yan Wending, Robby T. Tan:
Occlusion-Aware Networks for 3D Human Pose Estimation in Video. 723-732 - Yong Zhang, Haiyong Jiang, Baoyuan Wu, Yanbo Fan, Qiang Ji:
Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data. 733-742 - Chaoyang Wang, Chen Kong, Simon Lucey:
Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning. 743-752 - Yuan Yao, Yasamin Jafarian, Hyun Soo Park:
MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence. 753-762 - Gilwoo Lee, Zhiwei Deng, Shugao Ma, Takaaki Shiratori, Siddhartha S. Srinivasa, Yaser Sheikh:
Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis. 763-772 - Lingxue Song, Dihong Gong, Zhifeng Li, Changsong Liu, Wei Liu:
Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network. 773-782 - Xuanyi Dong, Yi Yang:
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection. 783-792 - Fu Xiong, Boshen Zhang, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou, Junsong Yuan:
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation From a Single Depth Image. 793-802 - Georgios Pavlakos, Nikos Kolotouros, Kostas Daniilidis:
TexturePose: Supervising Human Mesh Estimation With Texture Consistency. 803-812 - Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan C. Russell, Max J. Argus, Thomas Brox:
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images. 813-822 - Nitin Saini, Eric Price, Rahul Tallamraju, Raffi Enficiaud, Roman Ludwig, Igor Martinovic, Aamir Ahmad, Michael J. Black:
Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles. 823-832
Action & Video
- Srijan Das, Rui Dai, Michal Koperski, Luca Minciullo, Lorenzo Garattoni, François Brémond, Gianpiero Francesca:
Toyota Smarthome: Real-World Activities of Daily Living. 833-842 - Penghao Zhou, Mingmin Chi:
Relation Parsing Neural Network for Human-Object Interaction Detection. 843-851 - Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan:
DistInit: Learning Video Representations Without a Single Labeled Video. 852-861 - Fadime Sener, Angela Yao:
Zero-Shot Anticipation for Instructional Activities. 862-871 - Tianhong Li, Lijie Fan, Mingmin Zhao, Yingcheng Liu, Dina Katabi:
Making the Invisible Visible: Action Recognition Through Walls and Occlusions. 872-881 - Xudong Xu, Bo Dai, Dahua Lin:
Recursive Visual Sound Separation Using Minus-Plus Net. 882-891
Motion & Tracking
- Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro:
Unsupervised Video Interpolation Using Cycle Consistency. 892-900 - Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Xiaohui Hou:
Deformable Surface Tracking by Graph Matching. 901-910 - Janghoon Choi, Junseok Kwon, Kyoung Mu Lee:
Deep Meta Learning for Real-Time Target-Aware Visual Tracking. 911-920 - Chiho Choi, Behzad Dariush:
Looking to Relations for Future Trajectory Forecast. 921-930 - Zhao Yang, Qiang Wang, Luca Bertinetto, Song Bai, Weiming Hu, Philip H. S. Torr:
Anchor Diffusion for Unsupervised Video Object Segmentation. 931-940 - Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé:
Tracking Without Bells and Whistles. 941-951
Scene Understanding
- Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding:
Perspective-Guided Convolution Networks for Crowd Counting. 952-961 - Yichao Zhou, Haozhi Qi, Yi Ma:
End-to-End Wireframe Parsing. 962-971 - Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito, Kris Kitani:
Incremental Class Discovery for Semantic Segmentation With RGBD Sensing. 972-981 - Liang Du, Jingang Tan, Hongye Yang, Jianfeng Feng, Xiangyang Xue, Qibao Zheng, Xiaoqing Ye, Xiaolin Zhang:
SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation. 982-991 - Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Varun Kumar Vijay, Sean McPherson, Jacob Shermeyer, Hanlin Tang:
SpaceNet MVOI: A Multi-View Overhead Imagery Dataset. 992-1001 - Vishwanath Sindagi, Vishal M. Patel:
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting. 1002-1012 - Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy:
Learning Lightweight Lane Detection CNNs by Self Attention Distillation. 1013-1021 - Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra:
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation. 1022-1031
3D From Multiview & Sensors
- Wentao Cheng, Weisi Lin, Kan Chen, Xinfeng Zhang:
Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization. 1032-1041 - Chao Wen, Yinda Zhang, Zhuwen Li, Yanwei Fu:
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. 1042-1051 - Fotios Logothetis, Roberto Mecca, Roberto Cipolla:
A Differential Volumetric Approach to Multi-View Photometric Stereo. 1052-1061 - Viktor Larsson, Torsten Sattler, Zuzana Kukelova, Marc Pollefeys:
Revisiting Radial Distortion Absolute Pose. 1062-1071 - Tobias Würfl, André Aichert, Nicole Maass, Frank Dennerlein, Andreas K. Maier:
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging. 1072-1081 - Devesh Adlakha, Adlane Habed, Fabio Morbidi, Cédric Demonceaux, Michel de Mathelin:
QUARCH: A New Quasi-Affine Reconstruction Stratum From Vague Relative Camera Orientation Knowledge. 1082-1090 - Dániel Baráth, Zuzana Kukelova:
Homography From Two Orientation- and Scale-Covariant Features. 1091-1099
Applications. Medical, & Robotics
- Hyukryul Yang, Hao Ouyang, Vladlen Koltun, Qifeng Chen:
Hiding Video in Audio via Reversible Generative Models. 1100-1109 - Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han:
GSLAM: A General SLAM Framework and Benchmark. 1110-1120 - Sang Jun Lee, Sung Soo Hwang:
Elaborate Monocular Point and Line SLAM With Robust Initialization. 1121-1129 - Jia Wan, Antoni B. Chan:
Adaptive Density Map Generation for Crowd Counting. 1130-1139 - Xingxu Yao, Dongyu She, Sicheng Zhao, Jie Liang, Yu-Kun Lai, Jufeng Yang:
Attention-Aware Polarity Sensitive Embedding for Affective Image Retrieval. 1140-1150 - Chi Zhan, Dongyu She, Sicheng Zhao, Ming-Ming Cheng, Jufeng Yang:
Zero-Shot Emotion Recognition via Affective Structural Embedding. 1151-1160 - Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bowen Wu, Bing-Cheng Chen, Jian Yin:
FW-GAN: Flow-Navigated Warping GAN for Video Virtual Try-On. 1161-1170 - Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman:
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. 1171-1180 - Shi Chen, Qi Zhao:
Attention-Based Autism Spectrum Disorder Screening With Privileged Modality. 1181-1190