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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 Utama 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, Yong-Lu 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, Wending Yan, 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 - Jun-Tae Lee, Chang-Su Kim:
Image Aesthetic Assessment Based on Pairwise Comparison A Unified Approach to Score Regression, Binary Classification, and Personalization. 1191-1200 - Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang:
Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. 1201-1210 - Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. 1211-1220 - Vishwanath Sindagi, Rajeev Yasarla, Vishal M. Patel:
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method. 1221-1231 - Yi Liu, Qiang Zhang, Dingwen Zhang, Jungong Han:
Employing Deep Part-Object Relationships for Salient Object Detection. 1232-1241 - Vladimiros Sterzentsenko, Leonidas Saroglou, Anargyros Chatzitofis, Spiros Thermos, Nikolaos Zioulis, Alexandros Doumanoglou, Dimitrios Zarpalas, Petros Daras:
Self-Supervised Deep Depth Denoising. 1242-1251 - Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky:
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations. 1252-1261 - Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry Davis:
Layout-Induced Video Representation for Recognizing Agent-in-Place Actions. 1262-1272 - Trong-Nguyen Nguyen, Jean Meunier:
Anomaly Detection in Video Sequence With Appearance-Motion Correspondence. 1273-1283
Oral 1.2A
Architectures, Multi-Task Learning, Domain Adaptation
- Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He:
Exploring Randomly Wired Neural Networks for Image Recognition. 1284-1293 - Xin Chen, Lingxi Xie, Jun Wu, Qi Tian:
Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation. 1294-1303 - Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian:
Multinomial Distribution Learning for Effective Neural Architecture Search. 1304-1313 - Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu:
Searching for MobileNetV3. 1314-1324 - Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling:
Data-Free Quantization Through Weight Equalization and Bias Correction. 1325-1334 - Laurie Bose, Piotr Dudek, Jianing Chen, Stephen J. Carey, Walterio W. Mayol-Cuevas:
A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays. 1335-1344 - Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu:
Knowledge Distillation via Route Constrained Optimization. 1345-1354 - Mary Phuong, Christoph Lampert:
Distillation-Based Training for Multi-Exit Architectures. 1355-1364 - Frederick Tung, Greg Mori:
Similarity-Preserving Knowledge Distillation. 1365-1374 - Gjorgji Strezoski, Nanne van Noord, Marcel Worring:
Many Task Learning With Task Routing. 1375-1384 - Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso:
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. 1385-1394 - Anh Tuan Tran, Cuong V. Nguyen, Tal Hassner:
Transferability and Hardness of Supervised Classification Tasks. 1395-1405 - Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang:
Moment Matching for Multi-Source Domain Adaptation. 1406-1415 - Safa Cicek, Stefano Soatto:
Unsupervised Domain Adaptation via Regularized Conditional Alignment. 1416-1425 - Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin:
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation. 1426-1435 - Jogendra Nath Kundu, Nishank Lakkakula, Venkatesh Babu Radhakrishnan:
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. 1436-1445 - Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales:
Episodic Training for Domain Generalization. 1446-1455 - Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker:
Domain Adaptation for Structured Output via Discriminative Patch Representations. 1456-1465 - Qin Wang, Wen Li, Luc Van Gool:
Semi-Supervised Learning by Augmented Distribution Alignment. 1466-1475 - Lucas Beyer, Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov:
S4L: Self-Supervised Semi-Supervised Learning. 1476-1485
Oral 1.2B
Multi-View Geometry, 3D Scene Understanding
- Pablo Speciale, Johannes L. Schönberger, Sudipta N. Sinha, Marc Pollefeys:
Privacy Preserving Image Queries for Camera Localization. 1486-1496 - Songyou Peng, Peter F. Sturm:
Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty. 1497-1505 - Tobias Gruber, Frank D. Julca-Aguilar, Mario Bijelic, Felix Heide:
Gated2Depth: Real-Time Dense Lidar From Gated Images. 1506-1516 - Andrea Nicastro, Ronald Clark, Stefan Leutenegger:
X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion. 1517-1526 - Stepan Tulyakov, François Fleuret, Martin Kiefel, Peter V. Gehler, Michael Hirsch:
Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo. 1527-1537 - Rui Chen, Songfang Han, Jing Xu, Hao Su:
Point-Based Multi-View Stereo Network. 1538-1547 - Xiangyu Xu, Enrique Dunn:
Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction. 1548-1557 - Chen Kong, Simon Lucey:
Deep Non-Rigid Structure From Motion. 1558-1567 - Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis:
Equivariant Multi-View Networks. 1568-1577 - Jiageng Mao, Xiaogang Wang, Hongsheng Li:
Interpolated Convolutional Networks for 3D Point Cloud Understanding. 1578-1587 - Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data. 1588-1597 - Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, Kui Ren:
PointCloud Saliency Maps. 1598-1606 - Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung:
ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics. 1607-1616 - Jean-Michel Roufosse, Abhishek Sharma, Maks Ovsjanikov:
Unsupervised Deep Learning for Structured Shape Matching. 1617-1627 - Nadav Dym, Shahar Z. Kovalsky:
Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. 1628-1636 - Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun:
Consensus Maximization Tree Search Revisited. 1637-1645 - Haoang Li, Ji Zhao, Jean-Charles Bazin, Wen Chen, Zhe Liu, Yunhui Liu:
Quasi-Globally Optimal and Efficient Vanishing Point Estimation in Manhattan World. 1646-1654 - Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong:
An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction. 1655-1664 - Heng Yang, Luca Carlone:
A Quaternion-Based Certifiably Optimal Solution to the Wahba Problem With Outliers. 1665-1674 - Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility. 1675-1684
Poster 1.2
Deep Learning
- Jian Zhang, Chenglong Zhao, Bingbing Ni, Minghao Xu, Xiaokang Yang:
Variational Few-Shot Learning. 1685-1694 - Sankha Subhra Mullick, Shounak Datta, Swagatam Das:
Generative Adversarial Minority Oversampling. 1695-1704 - Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel:
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. 1705-1714 - Zuoyue Li, Jan Dirk Wegner, Aurélien Lucchi:
Topological Map Extraction From Overhead Images. 1715-1724 - Haokui Zhang, Ying Li, Yuanzhouhan Cao, Yu Liu, Chunhua Shen, Youliang Yan:
Exploiting Temporal Consistency for Real-Time Video Depth Estimation. 1725-1734 - Hang Zhao, Chuang Gan, Wei-Chiu Ma, Antonio Torralba:
The Sound of Motions. 1735-1744 - Youngjoo Jo, Jongyoul Park:
SC-FEGAN: Face Editing Generative Adversarial Network With User's Sketch and Color. 1745-1753 - Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun:
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style. 1754-1763 - Zhuoyuan Chen, Kavya Srinet, Charles R. Qi, Haoqi Fan, Jerry Ma, Larry Zitnick, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Arthur Szlam, Shubham Tulsiani, Haonan Yu, Jonathan Gray:
Order-Aware Generative Modeling Using the 3D-Craft Dataset. 1764-1773 - Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin:
Crowd Counting With Deep Structured Scale Integration Network. 1774-1783 - Tomer Cohen, Lior Wolf:
Bidirectional One-Shot Unsupervised Domain Mapping. 1784-1792 - A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Evolving Space-Time Neural Architectures for Videos. 1793-1802 - Jiahui Yu, Thomas S. Huang:
Universally Slimmable Networks and Improved Training Techniques. 1803-1811 - Tonmoy Saikia, Yassine Marrakchi, Arber Zela, Frank Hutter, Thomas Brox:
AutoDispNet: Improving Disparity Estimation With AutoML. 1812-1823 - Gidi Littwin, Lior Wolf:
Deep Meta Functionals for Shape Representation. 1824-1833 - Yu Liu, Jihao Liu, Xiaogang Wang, Ailing Zeng:
Differentiable Kernel Evolution. 1834-1843 - Mikolaj Binkowski, R. Devon Hjelm, Aaron C. Courville:
Batch Weight for Domain Adaptation With Mass Shift. 1844-1853 - HyunJae Lee, Hyo-Eun Kim, Hyeonseob Nam:
SRM: A Style-Based Recalibration Module for Convolutional Neural Networks. 1854-1862 - Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, Ping Luo:
Switchable Whitening for Deep Representation Learning. 1863-1871 - Adria Ruiz, Jakob Verbeek:
Adaptative Inference Cost With Convolutional Neural Mixture Models. 1872-1881 - Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár:
On Network Design Spaces for Visual Recognition. 1882-1890 - Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang:
Improved Techniques for Training Adaptive Deep Networks. 1891-1900 - Yunyang Xiong, Ronak Mehta, Vikas Singh:
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? 1901-1910 - Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han:
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. 1911-1920 - Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. 1921-1930
Recognition
- Yew Siang Tang, Gim Hee Lee:
Transferable Semi-Supervised 3D Object Detection From RGB-D Data. 1931-1940 - Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
DPOD: 6D Pose Object Detector and Refiner. 1941-1950 - Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia:
STD: Sparse-to-Dense 3D Object Detector for Point Cloud. 1951-1960 - Hang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou, Nenghai Yu:
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense. 1961-1970 - Tiancai Wang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
Learning Rich Features at High-Speed for Single-Shot Object Detection. 1971-1980 - Julia Peyre, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Detecting Unseen Visual Relations Using Analogies. 1981-1990 - Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Manuel Lopez-Antequera, Peter Kontschieder:
Disentangling Monocular 3D Object Detection. 1991-1999 - Boyuan Jiang, Mengmeng Wang, Weihao Gan, Wei Wu, Junjie Yan:
STM: SpatioTemporal and Motion Encoding for Action Recognition. 2000-2009 - Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, Xuming He:
Dynamic Context Correspondence Network for Semantic Alignment. 2010-2019 - Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash:
Fooling Network Interpretation in Image Classification. 2020-2029 - Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Unconstrained Foreground Object Search. 2030-2039 - Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra:
Embodied Amodal Recognition: Learning to Move to Perceive Objects. 2040-2050 - Kaiyu Yang, Olga Russakovsky, Jia Deng:
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. 2051-2060 - Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár:
TensorMask: A Foundation for Dense Object Segmentation. 2061-2069 - Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hongkai Xiong:
Integral Object Mining via Online Attention Accumulation. 2070-2079
Segmentation, Grouping, & Shape
- Vladislav Golyanik, Christian Theobalt, Didier Stricker:
Accelerated Gravitational Point Set Alignment With Altered Physical Laws. 2080-2089 - Minghao Chen, Hongyang Xue, Deng Cai:
Domain Adaptation for Semantic Segmentation With Maximum Squares Loss. 2090-2099 - Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong:
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data. 2100-2110 - Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang:
Semi-Supervised Skin Detection by Network With Mutual Guidance. 2111-2120 - Zuxuan Wu, Xin Wang, Joseph Gonzalez, Tom Goldstein, Larry Davis:
ACE: Adapting to Changing Environments for Semantic Segmentation. 2121-2130 - Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam S. Tsai, Fei Yang, Yuri Boykov:
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries. 2131-2141 - Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Recurrent U-Net for Resource-Constrained Segmentation. 2142-2151 - Krzysztof Lis, Krishna Kanth Nakka, Pascal Fua, Mathieu Salzmann:
Detecting the Unexpected via Image Resynthesis. 2152-2161
3D From Single View & RGBD
- Jamie Watson, Michael Firman, Gabriel J. Brostow, Daniyar Turmukhambetov:
Self-Supervised Monocular Depth Hints. 2162-2171 - Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes:
3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers. 2172-2182 - Tom van Dijk, Guido de Croon:
How Do Neural Networks See Depth in Single Images? 2183-2191 - Zhi Li, Xuan Wang, Fei Wang, Peilin Jiang:
On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos. 2192-2201 - Nilesh Kulkarni, Shubham Tulsiani, Abhinav Gupta:
Canonical Surface Mapping via Geometric Cycle Consistency. 2202-2211 - Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta:
3D-RelNet: Joint Object and Relational Network for 3D Prediction. 2212-2221 - Alexander Grabner, Peter M. Roth, Vincent Lepetit:
GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild. 2222-2231
Face & Body
- Valentin Gabeur, Jean-Sébastien Franco, Xavier Martin, Cordelia Schmid, Grégory Rogez:
Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images. 2232-2241 - Albert Pumarola, Jordi Sanchez, Gary P. T. Choi, Alberto Sanfeliu, Francesc Moreno:
3DPeople: Modeling the Geometry of Dressed Humans. 2242-2251 - Nikos Kolotouros, Georgios Pavlakos, Michael J. Black, Kostas Daniilidis:
Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop. 2252-2261 - Hai Ci, Chunyu Wang, Xiaoxuan Ma, Yizhou Wang:
Optimizing Network Structure for 3D Human Pose Estimation. 2262-2271 - Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, Nadia Magnenat-Thalmann:
Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks. 2272-2281 - Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, Michael J. Black:
Resolving 3D Human Pose Ambiguities With 3D Scene Constraints. 2282-2292 - Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus A. Magnor:
Tex2Shape: Detailed Full Human Body Geometry From a Single Image. 2293-2303 - Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Hao Li, Angjoo Kanazawa:
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization. 2304-2314 - Xiaoxing Zeng, Xiaojiang Peng, Yu Qiao:
DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction. 2315-2324 - Saurabh Sharma, Pavan Teja Varigonda, Prashast Bindal, Abhishek Sharma, Arjun Jain:
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking. 2325-2334 - Linlin Yang, Shile Li, Dongheui Lee, Angela Yao:
Aligning Latent Spaces for 3D Hand Pose Estimation. 2335-2343 - Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation. 2344-2353 - Xiong Zhang, Qiang Li, Hong Mo, Wenbo Zhang, Wen Zheng:
End-to-End Hand Mesh Recovery From a Monocular RGB Image. 2354-2364
Motion & Tracking
- Wenwei Zhang, Hui Zhou, Shuyang Sun, Zhe Wang, Jianping Shi, Chen Change Loy:
Robust Multi-Modality Multi-Object Tracking. 2365-2374 - Boris Ivanovic, Marco Pavone:
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs. 2375-2384 - Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang:
'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking. 2385-2393 - Kyle Min, Jason J. Corso:
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection. 2394-2403 - Anurag Ranjan, Joel Janai, Andreas Geiger, Michael J. Black:
Attacking Optical Flow. 2404-2413
Computational Photography & Graphics
- Chunyu Li, Yusuke Monno, Hironori Hidaka, Masatoshi Okutomi:
Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance From Motion. 2414-2423 - Bin He, Ce Wang, Boxin Shi, Lingyu Duan:
Mop Moiré Patterns Using MopNet. 2424-2432 - Ruofan Zhou, Sabine Süsstrunk:
Kernel Modeling Super-Resolution on Real Low-Resolution Images. 2433-2443 - Daiqian Ma, Renjie Wan, Boxin Shi, Alex C. Kot, Lingyu Duan:
Learning to Jointly Generate and Separate Reflections. 2444-2452 - Zijun Deng, Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Qing Zhang, Jing Qin, Pheng-Ann Heng:
Deep Multi-Model Fusion for Single-Image Dehazing. 2453-2462 - Yuhui Quan, Shijie Deng, Yixin Chen, Hui Ji:
Deep Learning for Seeing Through Window With Raindrops. 2463-2471 - Xiaowei Hu, Yitong Jiang, Chi-Wing Fu, Pheng-Ann Heng:
Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data. 2472-2481
Low-Level Vision & Optimization
- Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Wangmeng Zuo, Haozhe Xie, Jimmy S. J. Ren:
Spatio-Temporal Filter Adaptive Network for Video Deblurring. 2482-2491 - Yang Liu, Jinshan Pan, Jimmy S. J. Ren, Zhixun Su:
Learning Deep Priors for Image Dehazing. 2492-2500 - Xueyang Fu, Zheng-Jun Zha, Feng Wu, Xinghao Ding, John W. Paisley:
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding. 2501-2510 - Shuhang Gu, Yawei Li, Luc Van Gool, Radu Timofte:
Self-Guided Network for Fast Image Denoising. 2511-2520 - Ziang Cheng, Yinqiang Zheng, Shaodi You, Imari Sato:
Non-Local Intrinsic Decomposition With Near-Infrared Priors. 2521-2530
Scene Understanding
- Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Martin Engilberge:
VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability. 2531-2540 - Maciej Halber, Yifei Shi, Kai Xu, Thomas A. Funkhouser:
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans. 2541-2550 - Armen Avetisyan, Angela Dai, Matthias Nießner:
End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans. 2551-2560 - Tianhao Yang, Zheng-Jun Zha, Hanwang Zhang:
Making History Matter: History-Advantage Sequence Training for Visual Dialog. 2561-2569 - Liu Liu, Hongdong Li, Yuchao Dai:
Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization. 2570-2579 - Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction With Limited Labels. 2580-2590
Language & Reasoning
- Ramprasaath Ramasamy Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry P. Heck, Dhruv Batra, Devi Parikh:
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. 2591-2600 - Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran:
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. 2601-2610 - Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Dechao Meng, Qingming Huang:
Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding. 2611-2620 - Ting Yao, Yingwei Pan, Yehao Li, Tao Mei:
Hierarchy Parsing for Image Captioning. 2621-2629 - Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. 2630-2640 - Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Jingwen Wang, Wei Liu:
Controllable Video Captioning With POS Sequence Guidance Based on Gated Fusion Network. 2641-2650
3D From Multiview & Sensors
- Yuxin Hou, Juho Kannala, Arno Solin:
Multi-View Stereo by Temporal Nonparametric Fusion. 2651-2660 - Jiacheng Chen, Chen Liu, Jiaye Wu, Yasutaka Furukawa:
Floor-SP: Inverse CAD for Floorplans by Sequential Room-Wise Shortest Path. 2661-2670 - Zhaopeng Cui, Viktor Larsson, Marc Pollefeys:
Polarimetric Relative Pose Estimation. 2671-2680 - Seong Hun Lee, Javier Civera:
Closed-Form Optimal Two-View Triangulation Based on Angular Errors. 2681-2689 - Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Shengping Zhang:
Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi-View Images. 2690-2698
Image & Video Synthesis
- Patrick Esser, Johannes Haux, Björn Ommer:
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. 2699-2709 - Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran:
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution. 2710-2719 - Haotian Zhang, Long Mai, Hailin Jin, Zhaowen Wang, Ning Xu, John P. Collomosse:
An Internal Learning Approach to Video Inpainting. 2720-2729 - Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi:
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. 2730-2739 - Yunseok Jang, Tianchen Zhao, Seunghoon Hong, Honglak Lee:
Adversarial Defense via Learning to Generate Diverse Attacks. 2740-2749 - Atsuhiro Noguchi, Tatsuya Harada:
Image Generation From Small Datasets via Batch Statistics Adaptation. 2750-2758 - Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori:
Lifelong GAN: Continual Learning for Conditional Image Generation. 2759-2768
Applications. Medical, & Robotics
- Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian:
Bayesian Relational Memory for Semantic Visual Navigation. 2769-2779 - Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes. 2780-2790 - Zhaoyang Huang, Yan Xu, Jianping Shi, Xiaowei Zhou, Hujun Bao, Guofeng Zhang:
Prior Guided Dropout for Robust Visual Localization in Dynamic Environments. 2791-2800 - Manuel Martin, Alina Roitberg, Monica Haurilet, Matthias Horne, Simon Reiß, Michael Voit, Rainer Stiefelhagen:
Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles. 2801-2810 - Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, Hongsheng Li:
Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints. 2811-2820 - Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine:
PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings. 2821-2830 - Zhe Liu, Shunbo Zhou, Chuanzhe Suo, Peng Yin, Wen Chen, Hesheng Wang, Haoang Li, Yunhui Liu:
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis. 2831-2840 - Fei Xue, Xin Wang, Zike Yan, Qiuyuan Wang, Junqiu Wang, Hongbin Zha:
Local Supports Global: Deep Camera Relocalization With Sequence Enhancement. 2841-2850 - Shunkai Li, Fei Xue, Xin Wang, Zike Yan, Hongbin Zha:
Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry. 2851-2860 - Ziyang Hong, Yvan R. Petillot, David Lane, Yishu Miao, Sen Wang:
TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts. 2861-2870 - Mingyu Ding, Zhe Wang, Jiankai Sun, Jianping Shi, Ping Luo:
CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization. 2871-2880 - William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese:
Situational Fusion of Visual Representation for Visual Navigation. 2881-2890 - Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu:
Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. 2891-2900 - Arsalan Mousavian, Clemens Eppner, Dieter Fox:
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation. 2901-2910 - Namdar Homayounfar, Justin Liang, Wei-Chiu Ma, Jack Fan, Xinyu Wu, Raquel Urtasun:
DAGMapper: Learning to Map by Discovering Lane Topology. 2911-2920 - Noa Garnett, Rafi Cohen, Tomer Pe'er, Roee Lahav, Dan Levi:
3D-LaneNet: End-to-End 3D Multiple Lane Detection. 2921-2930
Oral 2.1A
Feature Representations, Similarity Learning
- Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari:
Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation. 2931-2940 - Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, Feiyue Huang:
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation. 2941-2949 - Ruth Fong, Mandela Patrick, Andrea Vedaldi:
Understanding Deep Networks via Extremal Perturbations and Smooth Masks. 2950-2958 - Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Unsupervised Pre-Training of Image Features on Non-Curated Data. 2959-2968 - Linguang Zhang, Szymon Rusinkiewicz:
Learning Local Descriptors With a CDF-Based Dynamic Soft Margin. 2969-2978 - Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic:
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. 2979-2987 - Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi:
Linearized Multi-Sampling for Differentiable Image Transformation. 2988-2997 - Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas:
AdaTransform: Adaptive Data Transformation. 2998-3006 - Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin:
CARAFE: Content-Aware ReAssembly of FEatures. 3007-3016 - Dou Quan, Xuefeng Liang, Shuang Wang, Shaowei Wei, Yanfeng Li, Ning Huyan, Licheng Jiao:
AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching. 3017-3026 - Shupeng Su, Zhisheng Zhong, Chao Zhang:
Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval. 3027-3035 - Stanislav Morozov, Artem Babenko:
Unsupervised Neural Quantization for Compressed-Domain Similarity Search. 3036-3045 - Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard I. Hartley:
Siamese Networks: The Tale of Two Manifolds. 3046-3055 - Runzhong Wang, Junchi Yan, Xiaokang Yang:
Learning Combinatorial Embedding Networks for Deep Graph Matching. 3056-3065 - Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. 3066-3075
Oral 2.1B
Low Level Vision
- Xin Deng, Ren Yang, Mai Xu, Pier Luigi Dragotti:
Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution. 3076-3085 - Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, Lei Zhang:
Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model. 3086-3095 - Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao:
RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution. 3096-3105 - Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma:
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations. 3106-3115 - Soo Ye Kim, Jihyong Oh, Munchurl Kim:
Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications. 3116-3125 - Tatsuya Yokota, Kazuya Kawai, Muneyuki Sakata, Yuichi Kimura, Hidekata Hontani:
Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior. 3126-3135 - Jerry Liu, Shenlong Wang, Raquel Urtasun:
DSIC: Deep Stereo Image Compression. 3136-3145 - Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Variable Rate Deep Image Compression With a Conditional Autoencoder. 3146-3154 - Saeed Anwar, Nick Barnes:
Real Image Denoising With Feature Attention. 3155-3164 - Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown:
Noise Flow: Noise Modeling With Conditional Normalizing Flows. 3165-3173 - Ahmed Abbas, Paul Swoboda:
Bottleneck Potentials in Markov Random Fields. 3174-3183 - Chen Chen, Qifeng Chen, Minh N. Do, Vladlen Koltun:
Seeing Motion in the Dark. 3184-3193 - Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz:
SENSE: A Shared Encoder Network for Scene-Flow Estimation. 3194-3203
Poster 2.1
Deep Learning
- Firas Shama, Roey Mechrez, Alon Shoshan, Lihi Zelnik-Manor:
Adversarial Feedback Loop. 3204-3213 - Alon Shoshan, Roey Mechrez, Lihi Zelnik-Manor:
Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks. 3214-3222 - Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang:
AutoGAN: Neural Architecture Search for Generative Adversarial Networks. 3223-3233 - Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu:
Co-Evolutionary Compression for Unpaired Image Translation. 3234-3243 - Zeyu Feng, Chang Xu, Dacheng Tao:
Self-Supervised Representation Learning From Multi-Domain Data. 3244-3254 - Michael Möller, Thomas Möllenhoff, Daniel Cremers:
Controlling Neural Networks via Energy Dissipation. 3255-3264 - Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Indices Matter: Learning to Index for Deep Image Matting. 3265-3274 - Yunan Li, Qiguang Miao, Wanli Ouyang, Zhenxin Ma, Huijuan Fang, Chao Dong, Yi-Ning Quan:
LAP-Net: Level-Aware Progressive Network for Image Dehazing. 3275-3284 - Irwan Bello, Barret Zoph, Quoc Le, Ashish Vaswani, Jonathon Shlens:
Attention Augmented Convolutional Networks. 3285-3294 - Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Kwang-Ting Cheng, Jian Sun:
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. 3295-3304 - Yuefu Zhou, Ya Zhang, Yan-Feng Wang, Qi Tian:
Accelerate CNN via Recursive Bayesian Pruning. 3305-3314 - Duo Li, Aojun Zhou, Anbang Yao:
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. 3315-3324 - Jinchi Huang, Lie Qu, Rongfei Jia, Binqiang Zhao:
O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks. 3325-3333 - Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee:
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation. 3334-3343 - Weifeng Ge, Weilin Huang, Sheng Guo, Matthew R. Scott:
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation. 3344-3353 - Ziteng Gao, Limin Wang, Gangshan Wu:
LIP: Local Importance-Based Pooling. 3354-3363 - Takumi Kobayashi:
Global Feature Guided Local Pooling. 3364-3373 - Jinghua Wang, Jianmin Jiang:
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation. 3374-3383 - Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao:
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks. 3384-3393 - Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features. 3394-3403 - Weitao Wan, Jiansheng Chen, Tianpeng Li, Yiqing Huang, Jingqi Tian, Cheng Yu, Youze Xue:
Information Entropy Based Feature Pooling for Convolutional Neural Networks. 3404-3413 - Yuning Chai:
Patchwork: A Patch-Wise Attention Network for Efficient Object Detection and Segmentation in Video Streams. 3414-3423 - Siddhesh Khandelwal, Leonid Sigal:
AttentionRNN: A Structured Spatial Attention Mechanism. 3424-3433