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ICCV 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
Adversarial Robustness vs. Model Compression, or Both? 111-120 - Pu Zhao
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
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
Face-to-Parameter Translation for Game Character Auto-Creation. 161-170 - Guha Balakrishnan
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
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
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
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
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
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
Mixed High-Order Attention Network for Person Re-Identification. 371-381 - Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein
Budget-Aware Adapters for Multi-Domain Learning. 382-391 - Tuong Do
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
Automatic and Robust Skull Registration Based on Discrete Uniformization. 431-440 - Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi
Few-Shot Image Recognition With Knowledge Transfer. 441-449 - Michael Wray
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
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
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
Asymmetric Non-Local Neural Networks for Semantic Segmentation. 593-602 - Zilong Huang, Xinggang Wang
CCNet: Criss-Cross Attention for Semantic Segmentation. 603-612 - Shousheng Luo, Xue-Cheng Tai
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
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid. 642-651 - Sifei Liu
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
Robust Motion Segmentation From Pairwise Matches. 671-681 - Haoshu Fang, Jianhua Sun, Runzhong Wang
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. 682-691
Face & Body
- Mei Wang, Weihong Deng
Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network. 692-702 - Jingxiao Zheng, Ruichi Yu, Jun-Cheng Chen
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
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
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
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
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
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
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
Elaborate Monocular Point and Line SLAM With Robust Initialization. 1121-1129 - Jia Wan
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
Zero-Shot Emotion Recognition via Affective Structural Embedding. 1151-1160 - Haoye Dong
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
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. 1171-1180 - Shi Chen
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
Self-Supervised Deep Depth Denoising. 1242-1251 - Hanxiao Wang
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
Many Task Learning With Task Routing. 1375-1384 - Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin
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
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
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
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
Point-Based Multi-View Stereo Network. 1538-1547 - Xiangyu Xu
Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction. 1548-1557 - Chen Kong, Simon Lucey
Deep Non-Rigid Structure From Motion. 1558-1567 - Carlos Esteves
Equivariant Multi-View Networks. 1568-1577 - Jiageng Mao
Interpolated Convolutional Networks for 3D Point Cloud Understanding. 1578-1587 - Mikaela Angelina Uy, Quang-Hieu Pham
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data. 1588-1597 - Tianhang Zheng
PointCloud Saliency Maps. 1598-1606 - Zhiyuan Zhang
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
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
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
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
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
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
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
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
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense. 1961-1970 - Tiancai Wang, Rao Muhammad Anwer, Hisham Cholakkal
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
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
Integral Object Mining via Online Attention Accumulation. 2070-2079
Segmentation, Grouping, & Shape
- Vladislav Golyanik, Christian Theobalt
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
ACE: Adapting to Changing Environments for Semantic Segmentation. 2121-2130 - Dmitrii Marin
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
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
3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers. 2172-2182 - Tom van Dijk
How Do Neural Networks See Depth in Single Images? 2183-2191 - Zhi Li, Xuan Wang, Fei Wang
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
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
Optimizing Network Structure for 3D Human Pose Estimation. 2262-2271 - Yujun Cai, Liuhao Ge, Jun Liu
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
Tex2Shape: Detailed Full Human Body Geometry From a Single Image. 2293-2303 - Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima
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
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
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
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
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
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding. 2501-2510 - Shuhang Gu, Yawei Li
Self-Guided Network for Fast Image Denoising. 2511-2520 - Ziang Cheng, Yinqiang Zheng
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
Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization. 2570-2579 - Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein
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
Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding. 2611-2620 - Ting Yao, Yingwei Pan
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
Closed-Form Optimal Two-View Triangulation Based on Angular Errors. 2681-2689 - Haozhe Xie
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
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
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
PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings. 2821-2830 - Zhe Liu, Shunbo Zhou, Chuanzhe Suo, Peng Yin
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
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
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
Siamese Networks: The Tale of Two Manifolds. 3046-3055 - Runzhong Wang
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
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
RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution. 3096-3105 - Peng Yi, Zhongyuan Wang, Kui Jiang
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations. 3106-3115 - Soo Ye Kim, Jihyong Oh
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
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
Noise Flow: Noise Modeling With Conditional Normalizing Flows. 3165-3173 - Ahmed Abbas
Bottleneck Potentials in Markov Random Fields. 3174-3183 - Chen Chen, Qifeng Chen, Minh N. Do
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
Self-Supervised Representation Learning From Multi-Domain Data. 3244-3254 - Michael Möller, Thomas Möllenhoff
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
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
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. 3295-3304 - Yuefu Zhou, Ya Zhang
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
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
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 - Yunpeng Chen
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution. 3434-3443 - Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf:
Domain Intersection and Domain Difference. 3444-3452 - Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G. Anderson, Lubomir D. Bourdev:
Learned Video Compression. 3453-3462 - Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin:
Local Relation Networks for Image Recognition. 3463-3472 - Éloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, Vincent Guitteny:
DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing. 3473-3482 - Max Ehrlich, Larry Davis:
Deep Residual Learning in the JPEG Transform Domain. 3483-3492 - Xinqi Zhu, Chang Xu
Approximated Bilinear Modules for Temporal Modeling. 3493-3502 - Chengchao Shen, Mengqi Xue
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. 3503-3512 - Hanting Chen, Yunhe Wang, Chang Xu
Data-Free Learning of Student Networks. 3513-3521 - Yue Wang, Justin Solomon:
Deep Closest Point: Learning Representations for Point Cloud Registration. 3522-3531 - Chao Zhang, Stephan Liwicki
Orientation-Aware Semantic Segmentation on Icosahedron Spheres. 3532-3540 - Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. 3541-3550 - Ping Chao, Chao-Yang Kao, Yu-Shan Ruan, Chien-Hsiang Huang, Youn-Long Lin:
HarDNet: A Low Memory Traffic Network. 3551-3560 - Junjun He, Zhongying Deng, Yu Qiao
Dynamic Multi-Scale Filters for Semantic Segmentation. 3561-3571 - Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan
Online Model Distillation for Efficient Video Inference. 3572-3581
Recognition
- Kai Li, Martin Renqiang Min
Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective. 3582-3591 - Senthil Purushwalkam, Maximilian Nickel
Task-Driven Modular Networks for Zero-Shot Compositional Learning. 3592-3601 - Limeng Qiao, Yemin Shi, Jia Li, Yonghong Tian, Tiejun Huang, Yaowei Wang:
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. 3602-3611 - Wei Zhai, Yang Cao, Jing Zhang
Deep Multiple-Attribute-Perceived Network for Real-World Texture Recognition. 3612-3621 - Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou:
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment. 3622-3631 - Saurabh Singh, Abhinav Shrivastava:
EvalNorm: Estimating Batch Normalization Statistics for Evaluation. 3632-3640 - Jianyuan Guo
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification. 3641-3650 - Qi Dong, Xiatian Zhu, Shaogang Gong:
Person Search by Text Attribute Query As Zero-Shot Learning. 3651-3660 - Qing Liu, Lingxi Xie, Huiyu Wang, Alan L. Yuille
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval. 3661-3670 - Hamed H. Aghdam, Abel Gonzalez-Garcia, Antonio M. López
Active Learning for Deep Detection Neural Networks. 3671-3679 - Xuanyi Dong, Yi Yang:
One-Shot Neural Architecture Search via Self-Evaluated Template Network. 3680-3689 - Zuozhuo Dai, Mingqiang Chen, Xiaodong Gu, Siyu Zhu, Ping Tan:
Batch DropBlock Network for Person Re-Identification and Beyond. 3690-3700 - Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Omni-Scale Feature Learning for Person Re-Identification. 3701-3711 - Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. 3712-3721 - Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Diversity With Cooperation: Ensemble Methods for Few-Shot Classification. 3722-3730 - Cheng Xu, Zhaoqun Li, Qiang Qiu, Biao Leng, Jingfei Jiang:
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval. 3731-3739 - Kun Wei, Muli Yang, Hao Wang, Cheng Deng
Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition. 3740-3748 - Ruijie Quan, Xuanyi Dong, Yu Wu
Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification. 3749-3758 - Bryan Bryan, Yuan Gong
Second-Order Non-Local Attention Networks for Person Re-Identification. 3759-3768
Segmentation, Grouping, & Shape
- Zipeng Ye, Ran Yi
Fast Computation of Content-Sensitive Superpixels and Supervoxels Using Q-Distances. 3769-3778 - Dániel Baráth, Jiri Matas
Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm. 3779-3787 - Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection. 3788-3797 - Jinming Su, Jia Li, Yu Zhang, Changqun Xia, Yonghong Tian:
Selectivity or Invariance: Boundary-Aware Salient Object Detection. 3798-3807 - Urbano Miguel Nunes
Online Unsupervised Learning of the 3D Kinematic Structure of Arbitrary Rigid Bodies. 3808-3816
3D From Single View & RGBD
- Bram Wallace, Bharath Hariharan:
Few-Shot Generalization for Single-Image 3D Reconstruction via Priors. 3817-3826 - Clément Godard
Digging Into Self-Supervised Monocular Depth Estimation. 3827-3837 - Jing Zhu, Yi Fang:
Learning Object-Specific Distance From a Monocular Image. 3838-3847 - Geonho Cha, Minsik Lee
Unsupervised 3D Reconstruction Networks. 3848-3857 - Dong Wook Shu, Sung Woo Park, Junseok Kwon:
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. 3858-3867 - Junjie Hu
Visualization of Convolutional Neural Networks for Monocular Depth Estimation. 3868-3877
Action & Video
- Ruohan Gao, Kristen Grauman:
Co-Separating Sounds of Visual Objects. 3878-3887 - Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, Shilei Wen:
BMN: Boundary-Matching Network for Temporal Action Proposal Generation. 3888-3897 - Ziyi Liu
Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks. 3898-3907 - Chaoxu Guo, Bin Fan, Jie Gu, Qian Zhang, Shiming Xiang, Véronique Prinet, Chunhong Pan:
Progressive Sparse Local Attention for Video Object Detection. 3908-3917 - Tete Xiao, Quanfu Fan, Danny Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou:
Reasoning About Human-Object Interactions Through Dual Attention Networks. 3918-3927 - Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun:
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. 3928-3937 - Hao Wang, Cheng Deng
Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query. 3938-3947 - Huaijia Lin, Xiaojuan Qi, Jiaya Jia:
AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation. 3948-3956 - Jianing Li, Shiliang Zhang, Jingdong Wang
Global-Local Temporal Representations for Video Person Re-Identification. 3957-3966 - Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian M. Molloy:
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos. 3967-3976
Motion & Tracking
- Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao
RANet: Ranking Attention Network for Fast Video Object Segmentation. 3977-3986 - Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu:
Spatial-Temporal Relation Networks for Multi-Object Tracking. 3987-3997 - Lianghua Huang, Xin Zhao
Bridging the Gap Between Detection and Tracking: A Unified Approach. 3998-4008 - Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer
Learning the Model Update for Siamese Trackers. 4009-4018 - Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu:
Fast-deepKCF Without Boundary Effect. 4019-4028
Computational Photography & Graphics
- Xiuming Zhang, Jiayuan Mao, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Program-Guided Image Manipulators. 4029-4038 - Pierre-André Brousseau, Sébastien Roy:
Calibration of Axial Fisheye Cameras Through Generic Virtual Central Models. 4039-4047 - Vishwanath Saragadam
Micro-Baseline Structured Light. 4048-4057 - Xin Miao, Xin Yuan
lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement. 4058-4068 - Masako Kashiwagi, Nao Mishima, Tatsuo Kozakaya, Shinsaku Hiura:
Deep Depth From Aberration Map. 4069-4078 - Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand:
A Dataset of Multi-Illumination Images in the Wild. 4079-4088 - Jie Song, Xu Chen, Otmar Hilliges:
Monocular Neural Image Based Rendering With Continuous View Control. 4089-4099 - Marc Comino Trinidad
Multi-View Image Fusion. 4100-4109
Low-Level & Optimization
- Wei Wang, Xin Chen, Cheng Yang, Xiang Li, Xuemei Hu, Tao Yue
Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise. 4110-4118 - Qifan Gao, Xiao Shu, Xiaolin Wu:
Deep Restoration of Vintage Photographs From Scanned Halftone Prints. 4119-4128 - Qiqi Hou, Feng Liu:
Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation. 4129-4138 - Wei Wang, Ruiming Guo
CFSNet: Toward a Controllable Feature Space for Image Restoration. 4139-4148 - Wu Wang
Deep Blind Hyperspectral Image Fusion. 4149-4158 - Sungmin Cha, Taesup Moon:
Fully Convolutional Pixel Adaptive Image Denoiser. 4159-4168 - Hongyu Liu, Bin Jiang, Yi Xiao, Chao Yang:
Coherent Semantic Attention for Image Inpainting. 4169-4178 - Yajun Qiu, Ruxin Wang, Dapeng Tao, Jun Cheng:
Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution. 4179-4188 - Shuhang Gu, Wen Li, Luc Van Gool, Radu Timofte
Fast Image Restoration With Multi-Bin Trainable Linear Units. 4189-4198
Scene Understanding
- Zenglin Shi, Pascal Mettes, Cees Snoek:
Counting With Focus for Free. 4199-4208 - Behzad Bozorgtabar
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion. 4209-4218 - Ke Li, Tianhao Zhang, Jitendra Malik:
Diverse Image Synthesis From Semantic Layouts via Conditional IMLE. 4219-4228 - Yanwei Pang, Yazhao Li, Jianbing Shen, Ling Shao
Towards Bridging Semantic Gap to Improve Semantic Segmentation. 4229-4238
Language & Reasoning
- Lixin Liu, Jiajun Tang
Generating Diverse and Descriptive Image Captions Using Visual Paraphrases. 4239-4248 - Xu Yang, Hanwang Zhang
Learning to Collocate Neural Modules for Image Captioning. 4249-4259 - Jyoti Aneja, Harsh Agrawal
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning. 4260-4269 - Nilavra Bhattacharya
Why Does a Visual Question Have Different Answers? 4270-4279 - Mohit Bajaj, Lanjun Wang
G3raphGround: Graph-Based Language Grounding. 4280-4289 - Ali Furkan Biten, Rubèn Tito, Andrés Mafla, Lluís Gómez i Bigorda
Scene Text Visual Question Answering. 4290-4300
3D From Multiview & Sensors
- Lu Sheng
Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM. 4301-4310 - Youze Xue, Jiansheng Chen, Weitao Wan, Yiqing Huang
MVSCRF: Learning Multi-View Stereo With Conditional Random Fields. 4311-4320 - Eric Brachmann, Carsten Rother:
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. 4321-4330 - Sergey Prokudin, Christoph Lassner, Javier Romero:
Efficient Learning on Point Clouds With Basis Point Sets. 4331-4340 - Haibo Qiu, Chunyu Wang, Jingdong Wang
Cross View Fusion for 3D Human Pose Estimation. 4341-4350 - Junbang Liang, Ming C. Lin:
Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images. 4351-4361 - Di Yan, Henrique Morimitsu
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations. 4362-4371 - Hajime Taira, Ignacio Rocco, Jirí Sedlár
Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. 4372-4382 - Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun:
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. 4383-4392
Image & Video Synthesis
- Sijie Yan, Zhizhong Li
Convolutional Sequence Generation for Skeleton-Based Action Synthesis. 4393-4401 - Seoung Wug Oh, Sungho Lee
Onion-Peel Networks for Deep Video Completion. 4402-4411 - Sungho Lee
Copy-and-Paste Networks for Deep Video Inpainting. 4412-4420 - Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer:
Content and Style Disentanglement for Artistic Style Transfer. 4421-4430
Oral 3.1A
Generative Modeling & Synthesis
- Rameen Abdal
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? 4431-4440 - Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu
Controllable Artistic Text Style Transfer via Shape-Matching GAN. 4441-4450 - Tai-Yin Chiu:
Understanding Generalized Whitening and Coloring Transform for Universal Style Transfer. 4451-4459 - Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin:
Learning Implicit Generative Models by Matching Perceptual Features. 4460-4469 - Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang:
Free-Form Image Inpainting With Gated Convolution. 4470-4479 - Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry Davis:
FiNet: Compatible and Diverse Fashion Image Inpainting. 4480-4490 - Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani:
InGAN: Capturing and Retargeting the "DNA" of a Natural Image. 4491-4500 - David Bau
Seeing What a GAN Cannot Generate. 4501-4510 - Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen
COCO-GAN: Generation by Parts via Conditional Coordinating. 4511-4520 - Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler:
Neural Turtle Graphics for Modeling City Road Layouts. 4521-4529 - Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger:
Texture Fields: Learning Texture Representations in Function Space. 4530-4539 - Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge J. Belongie
PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows. 4540-4549 - Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler:
Meta-Sim: Learning to Generate Synthetic Datasets. 4550-4559 - Oron Ashual, Lior Wolf:
Specifying Object Attributes and Relations in Interactive Scene Generation. 4560-4568 - Tamar Rott Shaham, Tali Dekel, Tomer Michaeli:
SinGAN: Learning a Generative Model From a Single Natural Image. 4569-4579
Oral 3.1B
Vision, Language, & Text
- Xin Wang, Jiawei Wu, Junkun Chen, Lei Li
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. 4580-4590 - Yu Xiong, Qingqiu Huang, Lingfeng Guo, Hang Zhou, Bolei Zhou, Dahua Lin:
A Graph-Based Framework to Bridge Movies and Synopses. 4591-4600 - Ajeet Kumar Singh, Anand Mishra
From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason. 4601-4611 - Long Chen
Counterfactual Critic Multi-Agent Training for Scene Graph Generation. 4612-4622 - Dong Huk Park, Trevor Darrell, Anna Rohrbach:
Robust Change Captioning. 4623-4632 - Lun Huang, Wenmin Wang, Jie Chen, Xiaoyong Wei:
Attention on Attention for Image Captioning. 4633-4642 - Sibei Yang
Dynamic Graph Attention for Referring Expression Comprehension. 4643-4652 - Kunpeng Li, Yulun Zhang
Visual Semantic Reasoning for Image-Text Matching. 4653-4661 - Josiah Wang, Lucia Specia:
Phrase Localization Without Paired Training Examples. 4662-4671 - Daqing Liu, Hanwang Zhang
Learning to Assemble Neural Module Tree Networks for Visual Grounding. 4672-4681 - Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo
A Fast and Accurate One-Stage Approach to Visual Grounding. 4682-4692 - Arka Sadhu, Kan Chen, Ram Nevatia:
Zero-Shot Grounding of Objects From Natural Language Queries. 4693-4702 - Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao:
Towards Unconstrained End-to-End Text Spotting. 4703-4713 - Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. 4714-4722
Poster 3.1
Deep Learning
- Francesco Croce, Matthias Hein:
Sparse and Imperceivable Adversarial Attacks. 4723-4731 - Qian Huang, Isay Katsman
Enhancing Adversarial Example Transferability With an Intermediate Level Attack. 4732-4741 - Mateusz Michalkiewicz, Jhony Kaesemodel Pontes, Dominic Jack, Mahsa Baktashmotlagh
Implicit Surface Representations As Layers in Neural Networks. 4742-4751 - Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang:
A Tour of Convolutional Networks Guided by Linear Interpreters. 4752-4761 - João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi:
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. 4762-4771 - Ameya Joshi
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. 4772-4782 - Yang Bai
Hilbert-Based Generative Defense for Adversarial Examples. 4783-4792 - Jang Hyun Cho, Bharath Hariharan:
On the Efficacy of Knowledge Distillation. 4793-4801 - Simyung Chang, Seonguk Park, John Yang, Nojun Kwak:
Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation. 4802-4810 - Shuang Wang, Yanfeng Li, Xuefeng Liang, Dou Quan, Bowu Yang, Shaowei Wei, Licheng Jiao
Better and Faster: Exponential Loss for Image Patch Matching. 4811-4820 - Rey Wiyatno, Anqi Xu:
Physical Adversarial Textures That Fool Visual Object Tracking. 4821-4830 - Huidong Liu, Xianfeng Gu
Wasserstein GAN With Quadratic Transport Cost. 4831-4840 - Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Arthur Mann, Pushmeet Kohli:
Scalable Verified Training for Provably Robust Image Classification. 4841-4850 - Ruihao Gong
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. 4851-4860 - Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman:
The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information. 4861-4869 - Thalaiyasingam Ajanthan, Puneet K. Dokania, Richard Hartley, Philip H. S. Torr:
Proximal Mean-Field for Neural Network Quantization. 4870-4879 - Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Improving Adversarial Robustness via Guided Complement Entropy. 4880-4888 - Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli
A Geometry-Inspired Decision-Based Attack. 4889-4897 - Jie Li
Universal Perturbation Attack Against Image Retrieval. 4898-4907 - Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji:
Bayesian Optimized 1-Bit CNNs. 4908-4916 - Kaiming He, Ross B. Girshick, Piotr Dollár:
Rethinking ImageNet Pre-Training. 4917-4926 - Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen:
Defending Against Universal Perturbations With Shared Adversarial Training. 4927-4936 - Yiyou Sun, Sathya N. Ravi
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks. 4937-4946 - Andrei Kapishnikov, Tolga Bolukbasi, Fernanda B. Viégas, Michael Terry:
XRAI: Better Attributions Through Regions. 4947-4956 - Thomas Brunner
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks. 4957-4965
Recognition
- Yanwei Pang, Jin Xie, Muhammad Haris Khan
Mask-Guided Attention Network for Occluded Pedestrian Detection. 4966-4974 - Chuanchen Luo, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang:
Spectral Feature Transformation for Person Re-Identification. 4975-4984 - Xiaofeng Liu, Zhenhua Guo, Site Li
Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition. 4985-4995 - Chufeng Tang, Lu Sheng
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization. 4996-5005 - Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu:
Correlation Congruence for Knowledge Distillation. 5006-5015 - Yiru Wang, Weihao Gan, Jie Yang, Wei Wu, Junjie Yan:
Dynamic Curriculum Learning for Imbalanced Data Classification. 5016-5025 - Makarand Tapaswi, Marc T. Law, Sanja Fidler:
Video Face Clustering With Unknown Number of Clusters. 5026-5035 - Giorgos Tolias, Filip Radenovic, Ondrej Chum:
Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower. 5036-5045 - Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman:
Fashion++: Minimal Edits for Outfit Improvement. 5046-5055 - Si Wu, Sihao Lin
Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. 5056-5065 - Tao Hu, Pascal Mettes, Jia-Hong Huang, Cees Snoek:
SILCO: Show a Few Images, Localize the Common Object. 5066-5075 - Jimmy Addison Lee, Peng Liu
A Deep Step Pattern Representation for Multimodal Retinal Image Registration. 5076-5085 - Zhen Zhang
Deep Graphical Feature Learning for the Feature Matching Problem. 5086-5095 - Dong Lao
Minimum Delay Object Detection From Video. 5096-5105 - Jérôme Revaud, Jon Almazán, Rafael S. Rezende, César Roberto de Souza:
Learning With Average Precision: Training Image Retrieval With a Listwise Loss. 5106-5115 - Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley:
Learning to Find Common Objects Across Few Image Collections. 5116-5125 - Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, Zhiyong Liu:
Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection. 5126-5136 - Jiangfan Han, Ping Luo, Xiaogang Wang
Deep Self-Learning From Noisy Labels. 5137-5146 - Marcelo Gennari Do Nascimento, Victor Prisacariu, Roger Fawcett:
DSConv: Efficient Convolution Operator. 5147-5156 - Jiangfan Han, Xiaoyi Dong, Ruimao Zhang
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once. 5157-5166
Segmentation, Grouping, & Shape
- Wenqiang Xu, Haiyang Wang, Fubo Qi, Cewu Lu:
Explicit Shape Encoding for Real-Time Instance Segmentation. 5167-5176 - Cheng-Yang Fu
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things. 5177-5186 - Linjie Yang, Yuchen Fan, Ning Xu:
Video Instance Segmentation. 5187-5196 - Kunpeng Li, Yulun Zhang
Attention Bridging Network for Knowledge Transfer. 5197-5206 - Wataru Shimoda, Keiji Yanai
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation. 5207-5216 - Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong
SPGNet: Semantic Prediction Guidance for Scene Parsing. 5217-5227 - Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler:
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. 5228-5237 - Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing. 5238-5247 - Mennatullah Siam, Boris N. Oreshkin, Martin Jägersand:
AMP: Adaptive Masked Proxies for Few-Shot Segmentation. 5248-5257 - Tarun Kalluri, Girish Varma, Manmohan Chandraker, C. V. Jawahar
Universal Semi-Supervised Semantic Segmentation. 5258-5269
Statistics, Physics, Theory & Datasets
- Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
Accelerate Learning of Deep Hashing With Gradient Attention. 5270-5279 - Qing-Yuan Jiang, Yi He, Gen Li, Jian Lin, Lei Li, Wu-Jun Li:
SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval. 5280-5288 - Hubert Lin, Paul Upchurch, Kavita Bala
Block Annotation: Better Image Annotation With Sub-Image Decomposition. 5289-5299 - Yanzhu Liu, Fan Wang, Adams Wai-Kin Kong:
Probabilistic Deep Ordinal Regression Based on Gaussian Processes. 5300-5308 - Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez:
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. 5309-5318 - Pouya Bashivan, Mark Tensen, James J. DiCarlo:
Teacher Guided Architecture Search. 5319-5328
3D From Single View & RGBD
- David Smith, Matthew Loper, Xiaochen Hu, Paris Mavroidis, Javier Romero:
FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second. 5329-5338 - Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy:
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild. 5339-5347 - Yu Sun, Yun Ye, Wu Liu, Wenpeng Gao, Yili Fu, Tao Mei:
Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation. 5348-5357 - Silvia Zuffi, Angjoo Kanazawa, Tanya Y. Berger-Wolf, Michael J. Black:
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images "In the Wild". 5358-5367 - Helisa Dhamo, Nassir Navab, Federico Tombari:
Object-Driven Multi-Layer Scene Decomposition From a Single Image. 5368-5377 - Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics. 5378-5388 - Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu:
Joint Monocular 3D Vehicle Detection and Tracking. 5389-5398
Face & Body
- Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Diane Brentari, Greg Shakhnarovich, Karen Livescu
Fingerspelling Recognition in the Wild With Iterative Visual Attention. 5399-5408 - Hang Dai, Ling Shao
PointAE: Point Auto-Encoder for 3D Statistical Shape and Texture Modelling. 5409-5418 - Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt
Multi-Garment Net: Learning to Dress 3D People From Images. 5419-5429 - Haiyong Jiang, Jianfei Cai, Jianmin Zheng
Skeleton-Aware 3D Human Shape Reconstruction From Point Clouds. 5430-5440 - Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje
AMASS: Archive of Motion Capture As Surface Shapes. 5441-5450 - Fei Wang, Sanping Zhou, Stanislav Panev
Person-in-WiFi: Fine-Grained Person Perception Using WiFi. 5451-5460 - Keqiang Sun, Wayne Wu, Tinghao Liu, Shuo Yang, Quan Wang, Qiang Zhou, Zuochang Ye, Chen Qian:
FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos. 5461-5470 - Bong-Nam Kang, Yonghyun Kim, Bongjin Jun, Daijin Kim:
Attentional Feature-Pair Relation Networks for Accurate Face Recognition. 5471-5480
Action & Video
- Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe:
Action Recognition With Spatial-Temporal Discriminative Filter Banks. 5481-5490 - Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen
EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition. 5491-5500 - Phuc Xuan Nguyen, Deva Ramanan
Weakly-Supervised Action Localization With Background Modeling. 5501-5510 - Chenxu Luo, Alan L. Yuille
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition. 5511-5520 - Tan Yu, Zhou Ren, Yuncheng Li, Enxu Yan, Ning Xu, Junsong Yuan
Temporal Structure Mining for Weakly Supervised Action Detection. 5521-5530 - Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David J. Crandall:
Temporal Recurrent Networks for Online Action Detection. 5531-5540 - Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong:
StartNet: Online Detection of Action Start in Untrimmed Videos. 5541-5550 - Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani:
Video Classification With Channel-Separated Convolutional Networks. 5551-5560 - Harshala Gammulle
Predicting the Future: A Jointly Learnt Model for Action Anticipation. 5561-5570
Low-Level & Optimization
- Ziyi Shen, Wenguan Wang
Human-Aware Motion Deblurring. 5571-5580 - Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, You He:
Fast Video Object Segmentation via Dynamic Targeting Network. 5581-5590 - Sean I. Young, Aous Thabit Naman
Solving Vision Problems via Filtering. 5591-5600 - Ankit Raj, Yuqi Li, Yoram Bresler
GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems. 5601-5610 - Deng-Ping Fan
Scoot: A Perceptual Metric for Facial Sketches. 5611-5621 - Yawei Li
Learning Filter Basis for Convolutional Neural Network Compression. 5622-5631 - Daniel Gehrig
End-to-End Learning of Representations for Asynchronous Event-Based Data. 5632-5642 - Guoqing Wang, Changming Sun
ERL-Net: Entangled Representation Learning for Single Image De-Raining. 5643-5651 - Oleg Voynov, Alexey Artemov
Perceptual Deep Depth Super-Resolution. 5652-5662
Scene Understanding
- Iro Armeni, Zhi-Yang He, Amir Zamir, JunYoung Gwak, Jitendra Malik, Martin Fischer
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera. 5663-5672 - Cheng Lin, Changjian Li, Wenping Wang:
Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans. 5673-5682 - Wei Yin, Yifan Liu
Enforcing Geometric Constraints of Virtual Normal for Depth Prediction. 5683-5692 - Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan
Deep Contextual Attention for Human-Object Interaction Detection. 5693-5701 - Wenguan Wang
Learning Compositional Neural Information Fusion for Human Parsing. 5702-5712 - Anran Zhang, Lei Yue, Jiayi Shen, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao
Attentional Neural Fields for Crowd Counting. 5713-5722 - Lifeng Fan, Wenguan Wang
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning. 5723-5732 - Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman:
Controllable Attention for Structured Layered Video Decomposition. 5733-5742 - Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola:
GANalyze: Toward Visual Definitions of Cognitive Image Properties. 5743-5752
Language & Reasoning
- Zhong Ji, Haoran Wang, Jungong Han, Yanwei Pang:
Saliency-Guided Attention Network for Image-Sentence Matching. 5753-5762 - Zihao Wang, Xihui Liu, Hongsheng Li
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval. 5763-5772 - Yan Huang, Liang Wang:
ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching. 5773-5782 - Mohamed Elhoseiny, Mohamed Elfeki:
Creativity Inspired Zero-Shot Learning. 5783-5792 - Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku
Generating Easy-to-Understand Referring Expressions for Target Identifications. 5793-5802 - Jonatas Wehrmann, Maurício Armani Lopes, Douglas M. Souza, Rodrigo C. Barros
Language-Agnostic Visual-Semantic Embeddings. 5803-5812 - Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris:
Adversarial Representation Learning for Text-to-Image Matching. 5813-5823 - Peng Gao, Haoxuan You
Multi-Modality Latent Interaction Network for Visual Question Answering. 5824-5834
3D From Multiview & Sensors
- Axel Barroso Laguna, Edgar Riba, Daniel Ponsa
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters. 5835-5843 - Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen
Learning Two-View Correspondences and Geometry Using Order-Aware Network. 5844-5853 - Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
Learning Meshes for Dense Visual SLAM. 5854-5863 - Michael Strecke
EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association. 5864-5873 - Jiahui Huang, Sheng Yang, Zishuo Zhao, Yu-Kun Lai, Shimin Hu:
ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation. 5874-5883 - Uttaran Bhattacharya
Efficient and Robust Registration on the 3D Special Euclidean Group. 5884-5893 - Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri:
Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings. 5894-5902
Image & Video Synthesis
- Wen Liu
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. 5903-5912 - Yu-Jing Lin, Po-Wei Wu, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao:
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. 5913-5921 - Ruizheng Wu, Xin Tao
Attribute-Driven Spontaneous Motion in Unpaired Image Translation. 5922-5931 - Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros
Everybody Dance Now. 5932-5941 - Yulun Zhang
Multimodal Style Transfer via Graph Cuts. 5942-5950 - Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen
A Closed-Form Solution to Universal Style Transfer. 5951-5960 - Jingyuan Li, Fengxiang He, Lefei Zhang, Bo Du, Dacheng Tao:
Progressive Reconstruction of Visual Structure for Image Inpainting. 5961-5970
Oral 3.2A
Recognition, Detection, & Re-Identification
- Samarth Sinha, Sayna Ebrahimi, Trevor Darrell:
Variational Adversarial Active Learning. 5971-5980 - Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar
Confidence Regularized Self-Training. 5981-5990 - Serim Ryou, Seong-Gyun Jeong, Pietro Perona:
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty. 5991-6000 - Chengxu Zhuang, Alex Lin Zhai, Daniel Yamins:
Local Aggregation for Unsupervised Learning of Visual Embeddings. 6001-6011 - Zhennan Wang, Wenbin Zou, Chen Xu:
PR Product: A Substitute for Inner Product in Neural Networks. 6012-6021 - Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. 6022-6031 - Tianfu Wu
Towards Interpretable Object Detection by Unfolding Latent Structures. 6032-6042 - Jason Kuen, Federico Perazzi, Zhe L. Lin, Jianming Zhang, Yap-Peng Tan:
Scaling Object Detection by Transferring Classification Weights. 6043-6052 - Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang:
Scale-Aware Trident Networks for Object Detection. 6053-6062 - Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa:
Object-Aware Instance Labeling for Weakly Supervised Object Detection. 6063-6071 - Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
Generative Modeling for Small-Data Object Detection. 6072-6080 - Shafin Rahman
Transductive Learning for Zero-Shot Object Detection. 6081-6090 - Seunghyeon Kim, Jaehoon Choi, Taekyung Kim
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. 6091-6100 - Suichan Li, Dapeng Chen, Bin Liu, Nenghai Yu, Rui Zhao:
Memory-Based Neighbourhood Embedding for Visual Recognition. 6101-6110 - Yang Fu
Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification. 6111-6120 - Zimo Liu, Jingya Wang, Shaogang Gong, Dacheng Tao, Huchuan Lu:
Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification. 6121-6130 - Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen
A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification. 6131-6140 - Zhiheng Ma
Bayesian Loss for Crowd Count Estimation With Point Supervision. 6141-6150 - Zhi-Qi Cheng
Learning Spatial Awareness to Improve Crowd Counting. 6151-6160
Oral 3.2B
Video & Action Understanding
- Peixia Li, Boyu Chen, Wanli Ouyang
GradNet: Gradient-Guided Network for Visual Object Tracking. 6161-6170 - Peng Chu, Haibin Ling:
FAMNet: Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking. 6171-6180 - Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte
Learning Discriminative Model Prediction for Tracking. 6181-6190 - Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen:
DynamoNet: Dynamic Action and Motion Network. 6191-6200 - Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He:
SlowFast Networks for Video Recognition. 6201-6210 - Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu:
Generative Multi-View Human Action Recognition. 6211-6220 - Wenhao Wu
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition. 6221-6230 - Bruno Korbar, Du Tran, Lorenzo Torresani:
SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition. 6231-6241 - Jun Li, Peng Lei, Sinisa Todorovic:
Weakly Supervised Energy-Based Learning for Action Segmentation. 6242-6250 - Antonino Furnari, Giovanni Maria Farinella:
What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention. 6251-6260 - Amir Rasouli
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction. 6261-6270 - Yingfan Huang, Huikun Bi, Zhaoxin Li, Tianlu Mao, Zhaoqi Wang:
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction. 6271-6280 - Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh
Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. 6281-6290 - Yu Wu
Dual Attention Matching for Audio-Visual Event Localization. 6291-6299 - Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference. 6300-6309 - Canmiao Fu, Wenjie Pei, Qiong Cao, Chaopeng Zhang, Yong Zhao, Xiaoyong Shen, Yu-Wing Tai
Non-Local Recurrent Neural Memory for Supervised Sequence Modeling. 6310-6319 - Min-Hung Chen
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. 6320-6329 - Jiahui Pan
Action Assessment by Joint Relation Graphs. 6330-6339 - Ehsan Elhamifar, Zwe Naing:
Unsupervised Procedure Learning via Joint Dynamic Summarization. 6340-6349 - Giorgos Kordopatis-Zilos
ViSiL: Fine-Grained Spatio-Temporal Video Similarity Learning. 6350-6359
Poster 3.2
Deep Learning
- James Thewlis, Samuel Albanie, Hakan Bilen
Unsupervised Learning of Landmarks by Descriptor Vector Exchange. 6360-6370 - Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Compositional Representations for Few-Shot Recognition. 6371-6380 - Kanglin Liu, Guoping Qiu
Spectral Regularization for Combating Mode Collapse in GANs. 6381-6389 - Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra:
Scaling and Benchmarking Self-Supervised Visual Representation Learning. 6390-6399 - Riccardo Spezialetti, Samuele Salti
Learning an Effective Equivariant 3D Descriptor Without Supervision. 6400-6409 - Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud
KPConv: Flexible and Deformable Convolution for Point Clouds. 6410-6419 - Abdelaziz Djelouah, Joaquim Campos, Simone Schaub-Meyer, Christopher Schroers:
Neural Inter-Frame Compression for Video Coding. 6420-6428 - Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. 6429-6438 - Linxiao Yang
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding. 6439-6448 - Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin:
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. 6449-6457 - Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision. 6458-6467 - Munawar Hayat
Gaussian Affinity for Max-Margin Class Imbalanced Learning. 6468-6478 - Jingjia Huang, Zhangheng Li, Nannan Li, Shan Liu, Ge Li:
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism. 6479-6488 - Baosheng Yu, Dacheng Tao:
Deep Metric Learning With Tuplet Margin Loss. 6489-6498 - Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation. 6499-6507 - Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia:
Fast and Practical Neural Architecture Search. 6508-6517 - Jiwoong Park, Minsik Lee
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning. 6518-6527 - Chanho Ahn, Eunwoo Kim, Songhwai Oh:
Deep Elastic Networks With Model Selection for Multi-Task Learning. 6528-6537 - Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. 6538-6547 - Yaoyao Zhong, Weihong Deng
Adversarial Learning With Margin-Based Triplet Embedding Regularization. 6548-6557
Recognition
- Ahmed Samy Nassar, Sébastien Lefèvre, Jan Dirk Wegner:
Simultaneous Multi-View Instance Detection With Learned Geometric Soft-Constraints. 6558-6567 - Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian:
CenterNet: Keypoint Triplets for Object Detection. 6568-6577 - Chen Lin, Minghao Guo, Chuming Li, Xin Yuan, Wei Wu, Junjie Yan, Dahua Lin, Wanli Ouyang
Online Hyper-Parameter Learning for Auto-Augmentation Strategy. 6578-6587 - Haolan Xue, Chang Liu, Fang Wan, Jianbin Jiao, Xiangyang Ji, Qixiang Ye:
DANet: Divergent Activation for Weakly Supervised Object Localization. 6588-6597 - Yao Ding
Selective Sparse Sampling for Fine-Grained Image Recognition. 6598-6607 - Shuai Li, Lingxiao Yang, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang:
Dynamic Anchor Feature Selection for Single-Shot Object Detection. 6608-6617 - Ye Xiang, Ying Fu, Pan Ji, Hua Huang
Incremental Learning Using Conditional Adversarial Networks. 6618-6627 - Jianyu Wang, Haichao Zhang:
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks. 6628-6637 - Fangyi Liu, Lei Zhang:
View Confusion Feature Learning for Person Re-Identification. 6638-6647 - Hang Xu
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification. 6648-6657 - Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia:
PARN: Position-Aware Relation Networks for Few-Shot Learning. 6658-6666 - Zhenwei He, Lei Zhang:
Multi-Adversarial Faster-RCNN for Unrestricted Object Detection. 6667-6676 - Hanming Deng, Yang Hua
Object Guided External Memory Network for Video Object Detection. 6677-6686 - Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. 6687-6696 - Yang Liu, Jishun Guo, Deng Cai, Xiaofei He:
Attribute Attention for Semantic Disambiguation in Zero-Shot Learning. 6697-6706 - Puneet Gupta, Esa Rahtu
CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising. 6707-6716 - Zheng Qin
ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices. 6717-6726 - Zhanghan Ke, Daoye Wang, Qiong Yan, Jimmy S. J. Ren, Rynson W. H. Lau:
Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning. 6727-6735 - Han Sun, Zhiyuan Chen, Shiyang Yan, Lin Xu:
MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-Identification. 6736-6746
Segmentation, Grouping, & Shape
- Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang
Adaptive Context Network for Scene Parsing. 6747-6756 - Qing Lian, Lixin Duan, Fengmao Lv, Boqing Gong:
Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. 6757-6766 - Huikai Wu, Junge Zhang, Kaiqi Huang:
SparseMask: Differentiable Connectivity Learning for Dense Image Prediction. 6767-6776 - Yawei Luo
Significance-Aware Information Bottleneck for Domain Adaptive Semantic Segmentation. 6777-6786 - Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao
Relational Attention Network for Crowd Counting. 6787-6796 - Fan Zhang, Yanqin Chen, Zhihang Li, Zhibin Hong, Jingtuo Liu, Feifei Ma, Junyu Han, Errui Ding:
ACFNet: Attentional Class Feature Network for Semantic Segmentation. 6797-6806 - Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon:
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. 6807-6817 - Henghui Ding
Boundary-Aware Feature Propagation for Scene Segmentation. 6818-6828 - Jaehoon Choi, Taekyung Kim
Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation. 6829-6839
3D From Single View & RGBD
- Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data. 6840-6849 - Xinzhu Ma, Zhihui Wang, Haojie Li, Pengbo Zhang, Wanli Ouyang
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving. 6850-6859 - Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation. 6860-6870 - Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks. 6871-6880
Face & Body
- Rui Zhao, Kang Wang, Hui Su, Qiang Ji:
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition. 6881-6891 - Arnaud Dapogny, Matthieu Cord, Kevin Bailly
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild. 6892-6900 - Yichun Shi, Anil K. Jain:
Probabilistic Face Embeddings. 6901-6910 - Petr Kellnhofer, Adrià Recasens, Simon Stent, Wojciech Matusik, Antonio Torralba:
Gaze360: Physically Unconstrained Gaze Estimation in the Wild. 6911-6920 - Ancong Wu
Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning. 6921-6930 - Zhe He, Adrian Spurr, Xucong Zhang
Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks. 6931-6940 - Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng:
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos. 6941-6949 - Xuecheng Nie, Jiashi Feng, Jianfeng Zhang, Shuicheng Yan:
Single-Stage Multi-Person Pose Machines. 6950-6959 - Yujin Chen, Zhigang Tu
SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning. 6960-6969 - Xinyao Wang, Liefeng Bo, Fuxin Li:
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression. 6970-6980 - Gines Hidalgo Martinez, Yaadhav Raaj, Haroon Idrees, Donglai Xiang
Single-Network Whole-Body Pose Estimation. 6981-6990 - Lisha Chen, Hui Su, Qiang Ji:
Face Alignment With Kernel Density Deep Neural Network. 6991-7001
Action & Video
- He Zhao, Rick Wildes:
Spatiotemporal Feature Residual Propagation for Action Prediction. 7002-7011 - Fanyi Xiao, Haotian Liu, Yong Jae Lee:
Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos. 7012-7021 - Jiajun Deng, Yingwei Pan
Relation Distillation Networks for Video Object Detection. 7022-7031 - AmirHossein Habibian, Ties van Rozendaal, Jakub M. Tomczak, Taco Cohen:
Video Compression With Rate-Distortion Autoencoders. 7032-7041 - Yi Xu, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun:
Non-Local ConvLSTM for Video Compression Artifact Reduction. 7042-7051 - Chuang Gan, Hang Zhao, Peihao Chen, David D. Cox, Antonio Torralba:
Self-Supervised Moving Vehicle Tracking With Stereo Sound. 7052-7061 - Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu:
Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera. 7062-7071 - Jingwei Ji, Kaidi Cao, Juan Carlos Niebles:
Learning Temporal Action Proposals With Fewer Labels. 7072-7081 - Ji Lin, Chuang Gan, Song Han:
TSM: Temporal Shift Module for Efficient Video Understanding. 7082-7092 - Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong
Graph Convolutional Networks for Temporal Action Localization. 7093-7102 - Shiyao Wang, Hongchao Lu, Zhidong Deng:
Fast Object Detection in Compressed Video. 7103-7112
Motion & Tracking
- Jason Y. Zhang, Panna Felsen, Angjoo Kanazawa, Jitendra Malik:
Predicting 3D Human Dynamics From Video. 7113-7122 - Borui Wang, Ehsan Adeli
Imitation Learning for Human Pose Prediction. 7123-7132 - Alejandro Hernandez Ruiz, Jürgen Gall, Francesc Moreno:
Human Motion Prediction via Spatio-Temporal Inpainting. 7133-7142 - Emre Aksan, Manuel Kaufmann
Structured Prediction Helps 3D Human Motion Modelling. 7143-7152
Computational Photography & Graphics
- Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser:
Learning Shape Templates With Structured Implicit Functions. 7153-7163 - Bingyao Huang
CompenNet++: End-to-End Full Projector Compensation. 7164-7173 - Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné
Deep Parametric Indoor Lighting Estimation. 7174-7182 - Yuval Nirkin, Yosi Keller, Tal Hassner:
FSGAN: Subject Agnostic Face Swapping and Reenactment. 7183-7192 - Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, David Jacobs:
Deep Single-Image Portrait Relighting. 7193-7201 - Ruihui Li, Xianzhi Li, Chi-Wing Fu
PU-GAN: A Point Cloud Upsampling Adversarial Network. 7202-7211 - Giorgos Bouritsas
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation. 7212-7221
Low-Level & Optimization
- Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang:
Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation. 7222-7232 - Yi Zeng, Pingping Zhang, Zhe L. Lin, Jianming Zhang, Huchuan Lu:
Towards High-Resolution Salient Object Detection. 7233-7242 - Timo Stoffregen, Guillermo Gallego, Tom Drummond
Event-Based Motion Segmentation by Motion Compensation. 7243-7252 - Yongri Piao, Wei Ji
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection. 7253-7262 - Zhe Wu, Li Su, Qingming Huang:
Stacked Cross Refinement Network for Edge-Aware Salient Object Detection. 7263-7272 - Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu:
Motion Guided Attention for Video Salient Object Detection. 7273-7282 - Pengxiang Yan
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. 7283-7292 - Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn:
Joint Learning of Semantic Alignment and Object Landmark Detection. 7293-7302 - Ruoteng Li, Robby T. Tan, Loong Fah Cheong, Angelica I. Avilés-Rivero, Qingnan Fan, Carola Schönlieb:
RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect. 7303-7312 - Xiaohong Liu, Yongrui Ma, Zhihao Shi, Jun Chen:
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing. 7313-7322 - Haiyang Jiang
Learning to See Moving Objects in the Dark. 7323-7332
Scene Understanding
- Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen:
SegSort: Segmentation by Discriminative Sorting of Segments. 7333-7343 - Keng-Chi Liu, Yi-Ting Shen, Jan Klopp, Liang-Gee Chen:
What Synthesis Is Missing: Depth Adaptation Integrated With Weak Supervision for Indoor Scene Parsing. 7344-7353 - Konstantin Sofiiuk, Olga Barinova, Anton Konushin:
AdaptIS: Adaptive Instance Selection Network. 7354-7362 - Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
DADA: Depth-Aware Domain Adaptation in Semantic Segmentation. 7363-7372 - Christos Sakaridis
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. 7373-7382 - Yang Zhou
SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation. 7383-7391 - Seyed Majid Azimi, Corentin Henry, Lars Sommer, Arne Schumann, Eleonora Vig:
SkyScapes - Fine-Grained Semantic Understanding of Aerial Scenes. 7392-7402
Language & Reasoning
- Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhães, Jason Baldridge, Eugene Ie:
Transferable Representation Learning in Vision-and-Language Navigation. 7403-7412 - Iro Laina, Christian Rupprecht, Nassir Navab:
Towards Unsupervised Image Captioning With Shared Multimodal Embeddings. 7413-7423 - Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
ViCo: Word Embeddings From Visual Co-Occurrences. 7424-7433 - Boren Li, Boyu Zhuang, Mingyang Li, Jian Gu:
Seq-SG2SL: Inferring Semantic Layout From Scene Graph Through Sequence to Sequence Learning. 7434-7442 - Badri N. Patro
U-CAM: Visual Explanation Using Uncertainty Based Class Activation Maps. 7443-7452 - Ding-Jie Chen, Songhao Jia, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu:
See-Through-Text Grouping for Referring Image Segmentation. 7453-7462 - Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid:
VideoBERT: A Joint Model for Video and Language Representation Learning. 7463-7472 - Andrea Burns, Reuben Tan, Kate Saenko
Language Features Matter: Effective Language Representations for Vision-Language Tasks. 7473-7482
3D From Multiview & Sensors
- Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang
Semantic Stereo Matching With Pyramid Cost Volumes. 7483-7492 - Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos. 7493-7503 - Ze Yang
Learning Relationships for Multi-View 3D Object Recognition. 7504-7513 - Xinwei He, Tengteng Huang, Song Bai, Xiang Bai:
View N-Gram Network for 3D Object Retrieval. 7514-7523 - Eric Brachmann, Carsten Rother:
Expert Sample Consensus Applied to Camera Re-Localization. 7524-7533 - Yutong Bai, Qing Liu, Lingxi Xie, Yan Zheng, Weichao Qiu, Alan L. Yuille
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data. 7534-7544 - Jinxian Liu, Bingbing Ni, Caiyuan Li, Jiancheng Yang
Dynamic Points Agglomeration for Hierarchical Point Sets Learning. 7545-7554
Image & Video Synthesis
- Ning Yu, Larry Davis, Mario Fritz:
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. 7555-7565 - Qicheng Lao
Dual Adversarial Inference for Text-to-Image Synthesis. 7566-7575 - Mohamed Ilyes Lakhal, Oswald Lanz
View-LSTM: Novel-View Video Synthesis Through View Decomposition. 7576-7586 - Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt
HoloGAN: Unsupervised Learning of 3D Representations From Natural Images. 7587-7596 - Shuang Ma, Daniel McDuff, Yale Song:
Unpaired Image-to-Speech Synthesis With Multimodal Information Bottleneck. 7597-7606 - Lluís Castrejón, Nicolas Ballas, Aaron C. Courville:
Improved Conditional VRNNs for Video Prediction. 7607-7616 - Xiaosheng Yan, Yuanlong Yu, Feigege Wang, Wenxi Liu, Shengfeng He
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery. 7617-7626
Oral 4.1A
Single-View 3D Modeling, Pose Estimation
- Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron:
Learning Single Camera Depth Estimation Using Dual-Pixels. 7627-7636 - Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn:
Domain-Adaptive Single-View 3D Reconstruction. 7637-7646 - Kyle Olszewski, Sergey Tulyakov, Oliver J. Woodford, Hao Li
Transformable Bottleneck Networks. 7647-7656 - Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Nießner:
RIO: 3D Object Instance Re-Localization in Changing Indoor Environments. 7657-7666 - Kiru Park, Timothy Patten, Markus Vincze:
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation. 7667-7676 - Zhigang Li, Gu Wang
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation. 7677-7686 - David Novotný, Nikhila Ravi
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. 7687-7696 - Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma:
Learning to Reconstruct 3D Manhattan Wireframes From a Single Image. 7697-7706 - Shichen Liu, Weikai Chen, Tianye Li, Hao Li
Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning. 7707-7716 - Karim Iskakov, Egor Burkov, Victor S. Lempitsky, Yury Malkov:
Learnable Triangulation of Human Pose. 7717-7726 - Denis Tomè
xR-EgoPose: Egocentric 3D Human Pose From an HMD Camera. 7727-7737 - Zerong Zheng
DeepHuman: 3D Human Reconstruction From a Single Image. 7738-7748 - Sicong Tang, Feitong Tan, Kelvin Cheng, Zhaoyang Li, Siyu Zhu, Ping Tan:
A Neural Network for Detailed Human Depth Estimation From a Single Image. 7749-7758 - Yuanlu Xu
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare. 7759-7769 - Jue Wang, Shaoli Huang
Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts. 7770-7779
Oral 4.1B
Computational Photography
- Inchang Choi, Orazio Gallo, Alejandro J. Troccoli, Min H. Kim, Jan Kautz:
Extreme View Synthesis. 7780-7789 - Xiaogang Xu, Ying-Cong Chen, Jiaya Jia:
View Independent Generative Adversarial Network for Novel View Synthesis. 7790-7799 - Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu, Xiaoyun Yang:
Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion. 7800-7809 - Numair Khan
View-Consistent 4D Light Field Superpixel Segmentation. 7810-7818 - Hao Zhou, Xiang Yu, David Jacobs:
GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition. 7819-7828 - Satoshi Murai, Meng-Yu Kuo, Ryo Kawahara
Surface Normals and Shape From Water. 7829-7837 - Jerin Geo James, Pranay Agrawal, Ajit Rajwade:
Restoration of Non-Rigidly Distorted Underwater Images Using a Combination of Compressive Sensing and Local Polynomial Image Representations. 7838-7847 - Yajie Zhao, Zeng Huang, Tianye Li, Weikai Chen, Chloe LeGendre, Xinglei Ren, Ari Shapiro, Hao Li
Learning Perspective Undistortion of Portraits. 7848-7858 - Salman Siddique Khan, Adarsh V. R, Vivek Boominathan
Towards Photorealistic Reconstruction of Highly Multiplexed Lensless Images. 7859-7868 - Mahesh Mohan M. R., Sharath Girish, Rajagopalan Ambasamudram:
Unconstrained Motion Deblurring for Dual-Lens Cameras. 7869-7878 - Jongho Lee, Mohit Gupta:
Stochastic Exposure Coding for Handling Multi-ToF-Camera Interference. 7879-7887 - Byeongjoo Ahn, Akshat Dave, Ashok Veeraraghavan, Ioannis Gkioulekas
Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator. 7888-7898 - Joseph R. Bartels, Jian Wang, William Whittaker, Srinivasa G. Narasimhan
Agile Depth Sensing Using Triangulation Light Curtains. 7899-7907 - Anant Gupta, Atul Ingle, Mohit Gupta:
Asynchronous Single-Photon 3D Imaging. 7908-7917
Poster 4.1
Deep Learning
- Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin, Yu-Chiang Frank Wang:
Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation. 7918-7928 - Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens:
A Learned Representation for Scalable Vector Graphics. 7929-7938 - Assia Benbihi, Matthieu Geist, Cédric Pradalier:
ELF: Embedded Localisation of Features in Pre-Trained CNN. 7939-7948 - Tianyang Xu
Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking. 7949-7959 - Jing Lu, Chaofan Xu, Wei Zhang, Lingyu Duan, Tao Mei:
Sampling Wisely: Deep Image Embedding by Top-K Precision Optimization. 7960-7969 - Bashir Sadeghi, Runyi Yu, Vishnu Boddeti:
On the Global Optima of Kernelized Adversarial Representation Learning. 7970-7978 - Riccardo Volpi, Vittorio Murino:
Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets. 7979-7988 - Qianyu Feng, Guoliang Kang, Hehe Fan, Yi Yang:
Attract or Distract: Exploit the Margin of Open Set. 7989-7998 - Biagio Brattoli, Karsten Roth, Björn Ommer:
MIC: Mining Interclass Characteristics for Improved Metric Learning. 7999-8008 - Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli
Self-Supervised Representation Learning via Neighborhood-Relational Encoding. 8009-8018 - Mohammad Tavakolian, Hamed Rezazadegan Tavakoli, Abdenour Hadid:
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation. 8019-8028 - Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson
Bilinear Attention Networks for Person Retrieval. 8029-8038 - Sanping Zhou, Fei Wang, Zeyi Huang, Jinjun Wang:
Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification. 8039-8048 - Kuniaki Saito, Donghyun Kim
Semi-Supervised Domain Adaptation via Minimax Entropy. 8049-8057 - Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Boosting Few-Shot Visual Learning With Self-Supervision. 8058-8067 - Aditya Ganeshan, Vivek B. S., Venkatesh Babu Radhakrishnan
FDA: Feature Disruptive Attack. 8068-8078 - Lei Qi
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. 8079-8088 - Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification. 8089-8098 - Ang Li, Huiyi Hu, Piotr Mirowski, Mehrdad Farajtabar:
Cross-View Policy Learning for Street Navigation. 8099-8108 - Pierluigi Zama Ramirez
Learning Across Tasks and Domains. 8109-8118 - Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points. 8119-8128 - Guo-Jun Qi
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations. 8129-8138 - Anastasia Dubrovina, Fei Xia
Composite Shape Modeling via Latent Space Factorization. 8139-8148 - Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha:
Deep Comprehensive Correlation Mining for Image Clustering. 8149-8158 - Kaveh Hassani, Mike Haley:
Unsupervised Multi-Task Feature Learning on Point Clouds. 8159-8170 - Ruihuang Li, Changqing Zhang, Huazhu Fu
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. 8171-8179 - Tristan Aumentado-Armstrong, Stavros Tsogkas, Allan D. Jepson, Sven J. Dickinson:
Geometric Disentanglement for Generative Latent Shape Models. 8180-8189 - Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, Venkatesh Babu Radhakrishnan
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. 8190-8199 - Jue Wang, Anoop Cherian:
GODS: Generalized One-Class Discriminative Subspaces for Anomaly Detection. 8200-8210 - Shuyan Li, Zhixiang Chen
Neighborhood Preserving Hashing for Scalable Video Retrieval. 8211-8220
Recognition
- Xinyu Zhang
Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification. 8221-8230 - Xue Yang
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects. 8231-8240 - Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim:
Cross-X Learning for Fine-Grained Visual Categorization. 8241-8250 - Rong Kang, Yue Cao, Mingsheng Long
Maximum-Margin Hamming Hashing. 8251-8260 - Xiaofeng Liu, Yang Zou, Tong Che, Ping Jia, Peng Ding, Jane You, B. V. K. Vijaya Kumar
Conservative Wasserstein Training for Pose Estimation. 8261-8271 - Zhiyu Tan, Xuecheng Nie, Qi Qian, Nan Li, Hao Li:
Learning to Rank Proposals for Object Detection. 8272-8280 - Ruihang Chu, Yifan Sun, Yadong Li, Zheng Liu, Chi Zhang, Yichen Wei:
Vehicle Re-Identification With Viewpoint-Aware Metric Learning. 8281-8290 - Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao, Lei Zhang:
WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection. 8291-8299 - Haodong Li
Localization of Deep Inpainting Using High-Pass Fully Convolutional Network. 8300-8309 - Fan Yang, Heng Fan
Clustered Object Detection in Aerial Images. 8310-8319 - Jinlin Wu, Hao Liu, Yang Yang, Zhen Lei, Shengcai Liao
Unsupervised Graph Association for Person Re-Identification. 8320-8329 - Lianbo Zhang, Shaoli Huang
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization. 8330-8339 - Zhibo Wang, Siyan Zheng, Mengkai Song, Qian Wang
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns. 8340-8349 - Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang:
ABD-Net: Attentive but Diverse Person Re-Identification. 8350-8360 - Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer. 8361-8370 - Ke Yang, Dongsheng Li, Yong Dou:
Towards Precise End-to-End Weakly Supervised Object Detection Network. 8371-8380 - Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai:
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting. 8381-8389 - Sudong Cai, Yulan Guo, Salman H. Khan, Jiwei Hu, Gongjian Wen:
Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss. 8390-8399 - Kai Han, Andrea Vedaldi, Andrew Zisserman:
Learning to Discover Novel Visual Categories via Deep Transfer Clustering. 8400-8408 - Chuming Li, Xin Yuan, Chen Lin, Minghao Guo, Wei Wu, Junjie Yan, Wanli Ouyang
AM-LFS: AutoML for Loss Function Search. 8409-8418 - Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-Shot Object Detection via Feature Reweighting. 8419-8428 - Shuai Shao
Objects365: A Large-Scale, High-Quality Dataset for Object Detection. 8429-8438 - Wenhai Wang, Enze Xie, Xiaoge Song, Yuhang Zang
Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network. 8439-8448 - Lingxiao He, Yinggang Wang, Wu Liu, He Zhao, Zhenan Sun, Jiashi Feng:
Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification. 8449-8458 - Fusheng Hao, Fengxiang He, Jun Cheng, Lei Wang
Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning. 8459-8468
Segmentation, Grouping, & Shape
- Roy Uziel, Meitar Ronen, Oren Freifeld:
Bayesian Adaptive Superpixel Segmentation. 8469-8478 - Kevin Duarte, Yogesh S. Rawat, Mubarak Shah
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. 8479-8488 - Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. 8489-8498 - Hsien-Yu Meng, Lin Gao, Yu-Kun Lai, Dinesh Manocha:
VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation. 8499-8507 - Huan Wang, Luping Zhou
Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images. 8508-8517 - Bo Li, Zhengxing Sun, Qian Li, Yunjie Wu
Group-Wise Deep Object Co-Segmentation With Co-Attention Recurrent Neural Network. 8518-8527
Statistics, Physics, Theory & Datasets
- Sen He, Hamed Rezazadegan Tavakoli, Ali Borji, Nicolas Pugeault:
Human Attention in Image Captioning: Dataset and Analysis. 8528-8537 - Zhenzhang Ye, Bjoern Haefner, Maolin Gao, Tao Wu, Yvain Quéau, Daniel Cremers
Variational Uncalibrated Photometric Stereo Under General Lighting. 8538-8547 - Qian Zheng, Yiming Jia, Boxin Shi, Xudong Jiang
SPLINE-Net: Sparse Photometric Stereo Through Lighting Interpolation and Normal Estimation Networks. 8548-8557 - Tao Zhang, Ying Fu, Lizhi Wang, Hua Huang
Hyperspectral Image Reconstruction Using Deep External and Internal Learning. 8558-8567 - Didier Bieler, Semih Günel, Pascal Fua, Helge Rhodin:
Gravity as a Reference for Estimating a Person's Height From Video. 8568-8576 - Hieu Le, Dimitris Samaras:
Shadow Removal via Shadow Image Decomposition. 8577-8586 - Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
OperatorNet: Recovering 3D Shapes From Difference Operators. 8587-8596 - Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, Jan Kautz:
Neural Inverse Rendering of an Indoor Scene From a Single Image. 8597-8606
3D From Single View & RGBD
- Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
ForkNet: Multi-Branch Volumetric Semantic Completion From a Single Depth Image. 8607-8616 - Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng
Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments. 8617-8626 - Duc Nguyen
GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion. 8627-8636 - Jingwei Huang, Yichao Zhou, Thomas A. Funkhouser, Leonidas J. Guibas:
FrameNet: Learning Local Canonical Frames of 3D Surfaces From a Single RGB Image. 8637-8646 - Yixin Chen, Siyuan Huang, Tao Yuan, Yixin Zhu, Siyuan Qi, Song-Chun Zhu:
Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense. 8647-8656
Action & Video
- Quan Kong, Ziming Wu, Ziwei Deng, Martin Klinkigt, Bin Tong, Tomokazu Murakami:
MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding. 8657-8666 - Hang Zhao, Antonio Torralba, Lorenzo Torresani, Zhicheng Yan:
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization. 8667-8677 - Sanath Narayan, Hisham Cholakkal
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization. 8678-8686 - Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman:
Grounded Human-Object Interaction Hotspots From Video. 8687-8696 - Lei Wang
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs. 8697-8707
Computational Photography & Graphics
- Zhewei Huang, Shuchang Zhou, Wen Heng:
Learning to Paint With Model-Based Deep Reinforcement Learning. 8708-8717 - Carlo Innamorati, Bryan C. Russell, Danny M. Kaufman, Niloy J. Mitra:
Neural Re-Simulation for Generating Bounces in Single Images. 8718-8727 - Maxim Maximov, Tobias Ritschel, Laura Leal-Taixé, Mario Fritz:
Deep Appearance Maps. 8728-8737 - Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini
GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping. 8738-8747 - Manuel Dahnert, Angela Dai, Leonidas J. Guibas, Matthias Nießner:
Joint Embedding of 3D Scan and CAD Objects. 8748-8757 - Nadav Schor, Oren Katzir, Hao Zhang
CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition. 8758-8767 - Chiyu Max Jiang, Dana Lynn Ona Lansigan, Philip Marcus, Matthias Nießner:
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals. 8768-8777
Low-Level & Optimization
- Jiaxing Zhao, Jiang-Jiang Liu, Deng-Ping Fan
EGNet: Edge Guidance Network for Salient Object Detection. 8778-8787 - David Berga
SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling. 8788-8797 - Haochen Zhang
Two-Stream Action Recognition-Oriented Video Super-Resolution. 8798-8807 - Xin Yang, Haiyang Mei, Ke Xu
Where Is My Mirror? 8808-8817 - Shaofan Cai, Xiaoshuai Zhang, Haoqiang Fan, Haibin Huang, Jiangyu Liu, Jiaming Liu, Jiaying Liu, Jue Wang
Disentangled Image Matting. 8818-8827 - Riccardo de Lutio, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Guided Super-Resolution As Pixel-to-Pixel Transformation. 8828-8836 - Tiantian Wang, Yongri Piao, Huchuan Lu, Xiao Li, Lihe Zhang:
Deep Learning for Light Field Saliency Detection. 8837-8847 - Kai Zhao, Shanghua Gao, Wenguan Wang
Optimizing the F-Measure for Threshold-Free Salient Object Detection. 8848-8856 - Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng
Image Inpainting With Learnable Bidirectional Attention Maps. 8857-8866 - Thibaud Ehret, Axel Davy, Pablo Arias, Gabriele Facciolo:
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images. 8867-8876 - Orest Kupyn, Tetiana Martyniuk
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better. 8877-8886
Language & Reasoning
- Lei Ke, Wenjie Pei, Ruiyu Li, Xiaoyong Shen, Yu-Wing Tai
Reflective Decoding Network for Image Captioning. 8887-8896 - Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik:
Joint Optimization for Cooperative Image Captioning. 8897-8906 - Tanzila Rahman, Bicheng Xu, Leonid Sigal:
Watch, Listen and Tell: Multi-Modal Weakly Supervised Dense Event Captioning. 8907-8916 - Jingyi Hou, Xinxiao Wu, Wentian Zhao, Jiebo Luo
Joint Syntax Representation Learning and Visual Cue Translation for Video Captioning. 8917-8926 - Guang Li, Linchao Zhu
Entangled Transformer for Image Captioning. 8927-8936 - Panos Achlioptas, Leonidas J. Guibas, Noah D. Goodman, Judy Fan, Robert X. D. Hawkins
Shapeglot: Learning Language for Shape Differentiation. 8937-8946 - Harsh Agrawal
nocaps: novel object captioning at scale. 8947-8956
3D From Multiview & Sensors
- Christopher B. Choy, Jaesik Park
Fully Convolutional Geometric Features. 8957-8965 - Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jana Kosecka:
Learning Local RGB-to-CAD Correspondences for Object Pose Estimation. 8966-8975 - Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova:
Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. 8976-8985 - Changhee Won, Jongbin Ryu, Jongwoo Lim:
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching. 8986-8995 - Chuangrong Chen, Xiaozhi Chen
On the Over-Smoothing Problem of CNN Based Disparity Estimation. 8996-9004
Image & Video Synthesis
- Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell:
Disentangling Propagation and Generation for Video Prediction. 9005-9014 - Badour Albahar, Jia-Bin Huang:
Guided Image-to-Image Translation With Bi-Directional Feature Transformation. 9015-9024 - Haoye Dong
Towards Multi-Pose Guided Virtual Try-On Network. 9025-9034 - Jaejun Yoo
Photorealistic Style Transfer via Wavelet Transforms. 9035-9044 - Cong Yu, Yang Hu, Yan Chen, Bing Zeng:
Personalized Fashion Design. 9045-9054 - Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo:
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. 9055-9064 - Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston H. Hsu:
Free-Form Video Inpainting With 3D Gated Convolution and Temporal PatchGAN. 9065-9074
Applications, Medical & Robotics
- Wei Feng
TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting. 9075-9084 - Yipeng Sun, Jiaming Liu, Wei Liu, Junyu Han, Errui Ding, Jingtuo Liu:
Chinese Street View Text: Large-Scale Chinese Text Reading With Partially Supervised Learning. 9085-9094 - Zhiliang Zeng, Xianzhi Li, Ying Kin Yu, Chi-Wing Fu
Deep Floor Plan Recognition Using a Multi-Task Network With Room-Boundary-Guided Attention. 9095-9103 - Fangneng Zhan
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition. 9104-9114 - Tianlang Chen, Zhaowen Wang, Ning Xu, Hailin Jin, Jiebo Luo
Large-Scale Tag-Based Font Retrieval With Generative Feature Learning. 9115-9124 - Linjie Xing, Zhi Tian, Weilin Huang, Matthew R. Scott:
Convolutional Character Networks. 9125-9135 - Jiaqi Duan, Youjiang Xu, Zhanghui Kuang, Xiaoyu Yue, Hongbin Sun, Yue Guan, Wayne Zhang
Geometry Normalization Networks for Accurate Scene Text Detection. 9136-9145 - Mingkun Yang, Yushuo Guan, Minghui Liao, Xin He, Kaigui Bian, Song Bai, Cong Yao, Xiang Bai:
Symmetry-Constrained Rectification Network for Scene Text Recognition. 9146-9155
Oral 4.2A
Segmentation, Detection, 3D Scene Understanding
- Daniel Bolya, Chong Zhou
YOLACT: Real-Time Instance Segmentation. 9156-9165 - Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu:
Expectation-Maximization Attention Networks for Semantic Segmentation. 9166-9175 - Yifan Zhao, Jia Li, Yu Zhang, Yonghong Tian:
Multi-Class Part Parsing With Joint Boundary-Semantic Awareness. 9176-9185 - Runjin Chen, Hao Chen
Explaining Neural Networks Semantically and Quantitatively. 9186-9195 - Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. 9196-9205 - Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin:
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. 9206-9215 - Haiping Wu, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang:
Sequence Level Semantics Aggregation for Video Object Detection. 9216-9224 - Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Video Object Segmentation Using Space-Time Memory Networks. 9225-9234 - Wenguan Wang
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. 9235-9244 - Xingyu Liu, Mengyuan Yan, Jeannette Bohg
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. 9245-9254 - Jean Lahoud
3D Instance Segmentation via Multi-Task Metric Learning. 9255-9265 - Guohao Li, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
DeepGCNs: Can GCNs Go As Deep As CNNs? 9266-9275 - Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas:
Deep Hough Voting for 3D Object Detection in Point Clouds. 9276-9285 - Garrick Brazil, Xiaoming Liu:
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection. 9286-9295 - Jens Behley
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences. 9296-9306 - Senthil Kumar Yogamani, Christian Witt, Hazem Rashed, Sanjaya Nayak, Saquib Mansoor, Padraig Varley, Xavier Perrotton, Derek O'Dea, Patrick Pérez, Ciarán Hughes
WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving. 9307-9317 - Dzung A. Doan
Scalable Place Recognition Under Appearance Change for Autonomous Driving. 9318-9327 - Felipe Codevilla, Eder Santana, Antonio M. López
Exploring the Limitations of Behavior Cloning for Autonomous Driving. 9328-9337 - Manolis Savva
Habitat: A Platform for Embodied AI Research. 9338-9346
Oral 4.2B
Face & Body Modeling
- Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, Xiaoming Liu:
Towards Interpretable Face Recognition. 9347-9356 - Xiaobo Wang, Shuo Wang, Hailin Shi, Jun Wang, Tao Mei:
Co-Mining: Deep Face Recognition With Noisy Labels. 9357-9366 - Seonwook Park
Few-Shot Adaptive Gaze Estimation. 9367-9376 - Oran Gafni, Lior Wolf, Yaniv Taigman:
Live Face De-Identification in Video. 9377-9386 - Wenqi Ren, Jiaolong Yang
Face Video Deblurring Using 3D Facial Priors. 9387-9396 - Jingtan Piao, Chen Qian, Hongsheng Li
Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer. 9397-9406 - Feng Liu, Luan Tran, Xiaoming Liu:
3D Face Modeling From Diverse Raw Scan Data. 9407-9417 - Victoria Fernández Abrevaya, Adnane Boukhayma, Stefanie Wuhrer, Edmond Boyer:
A Decoupled 3D Facial Shape Model by Adversarial Training. 9418-9427 - Anpei Chen, Zhang Chen, Guli Zhang, Kenny Mitchell, Jingyi Yu:
Photo-Realistic Facial Details Synthesis From Single Image. 9428-9438 - Zhenliang He, Meina Kan, Shiguang Shan
S2GAN: Share Aging Factors Across Ages and Share Aging Trends Among Individuals. 9439-9448 - Ben Usman, Nick Dufour, Kate Saenko
PuppetGAN: Cross-Domain Image Manipulation by Demonstration. 9449-9457 - Egor Zakharov
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models. 9458-9467 - Bo Wan, Desen Zhou, Yongfei Liu, Rongjie Li, Xuming He:
Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection. 9468-9477 - Haodong Duan, Kwan-Yee Lin, Sheng Jin
TRB: A Novel Triplet Representation for Understanding 2D Human Body. 9478-9487 - Wei Mao, Miaomiao Liu
Learning Trajectory Dependencies for Human Motion Prediction. 9488-9496 - Jinkun Cao, Hongyang Tang, Haoshu Fang, Xiaoyong Shen, Yu-Wing Tai
Cross-Domain Adaptation for Animal Pose Estimation. 9497-9506
Poster 4.2
Recognition
- Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. 9507-9516 - Qing Yu, Kiyoharu Aizawa:
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy. 9517-9525 - Yan Huang
SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification. 9526-9535 - Jing Nie, Rao Muhammad Anwer, Hisham Cholakkal
Enriched Feature Guided Refinement Network for Object Detection. 9536-9545 - Guangyi Chen
Deep Meta Metric Learning. 9546-9555 - Chunluan Zhou, Ming Yang
Discriminative Feature Transformation for Occluded Pedestrian Detection. 9556-9565 - Supreeth Narasimhaswamy, Zhengwei Wei, Yang Wang, Justin Zhang, Minh Hoai Nguyen:
Contextual Attention for Hand Detection in the Wild. 9566-9575 - Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin:
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. 9576-9585 - Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao:
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation. 9586-9594 - Oisin Mac Aodha, Elijah Cole, Pietro Perona:
Presence-Only Geographical Priors for Fine-Grained Image Classification. 9595-9605 - Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan:
POD: Practical Object Detection With Scale-Sensitive Network. 9606-9615 - Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths
Human Uncertainty Makes Classification More Robust. 9616-9625 - Zhi Tian, Chunhua Shen, Hao Chen, Tong He:
FCOS: Fully Convolutional One-Stage Object Detection. 9626-9635 - Guangyi Chen
Self-Critical Attention Learning for Person Re-Identification. 9636-9645 - Xinqian Gu, Bingpeng Ma, Hong Chang, Shiguang Shan
Temporal Knowledge Propagation for Image-to-Video Person Re-Identification. 9646-9655 - Ze Yang
RepPoints: Point Set Representation for Object Detection. 9656-9665 - Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang
SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering. 9666-9675 - Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques. 9676-9684 - Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent:
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. 9685-9694 - Tomás Jenícek, Ondrej Chum:
No Fear of the Dark: Image Retrieval Under Varying Illumination Conditions. 9695-9703 - Jiale Cao, Yanwei Pang, Jungong Han, Xuelong Li:
Hierarchical Shot Detector. 9704-9713 - Aoxue Li
Few-Shot Learning With Global Class Representations. 9714-9723 - Junhyug Noh
Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection. 9724-9733 - Xiaoyan Li, Meina Kan, Shiguang Shan
Weakly Supervised Object Detection With Segmentation Collaboration. 9734-9743 - Mahyar Najibi, Bharat Singh, Larry Davis:
AutoFocus: Efficient Multi-Scale Inference. 9744-9754 - Mykhailo Shvets, Wei Liu, Alexander C. Berg:
Leveraging Long-Range Temporal Relationships Between Proposals for Video Object Detection. 9755-9763 - Huajie Jiang, Ruiping Wang, Shiguang Shan
Transferable Contrastive Network for Generalized Zero-Shot Learning. 9764-9773 - Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia:
Fast Point R-CNN. 9774-9783 - Georgia Gkioxari, Justin Johnson, Jitendra Malik:
Mesh R-CNN. 9784-9794 - Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
Deep Supervised Hashing With Anchor Graph. 9795-9803 - Hao Yang, Hao Wu, Hao Chen:
Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes. 9804-9812 - Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan
Re-ID Driven Localization Refinement for Person Search. 9813-9822 - Huu Le, Ming Xu, Tuan Hoang
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost. 9823-9832 - Gao Yan, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan
C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection. 9833-9842 - Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. 9843-9853 - Leulseged Tesfaye Alemu, Mubarak Shah
Deep Constrained Dominant Sets for Person Re-Identification. 9854-9863 - Xu Ji, Andrea Vedaldi, João F. Henriques:
Invariant Information Clustering for Unsupervised Image Classification and Segmentation. 9864-9873
Statistics, Physics, Theory & Datasets
- Masataka Yamaguchi, Go Irie, Takahito Kawanishi, Kunio Kashino:
Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering. 9874-9883 - Bing Su, Jiahuan Zhou, Ying Wu:
Order-Preserving Wasserstein Discriminant Analysis. 9884-9893 - Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
LayoutVAE: Stochastic Scene Layout Generation From a Label Set. 9894-9903 - Jie Zhou, Xinke Ma, Li Liang, Liu Yuhe, Shijin Xu, Sim Heng Ong, Yang Yang:
Robust Variational Bayesian Point Set Registration. 9904-9913 - Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal:
Is an Affine Constraint Needed for Affine Subspace Clustering? 9914-9923 - Yu-Xiong Wang, Deva Ramanan
Meta-Learning to Detect Rare Objects. 9924-9933 - Zhenhua Wang, Tong Liu, Qinfeng Shi
New Convex Relaxations for MRF Inference With Unknown Graphs. 9934-9942 - Zhijie Deng, Yucen Luo, Jun Zhu:
Cluster Alignment With a Teacher for Unsupervised Domain Adaptation. 9943-9952 - Luca Anthony Thiede, Pratik Prabhanjan Brahma:
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction. 9953-9962
3D From Single View & RGBD
- Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, Kui Jia:
Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks. 9963-9972 - Wenqi Xian, Zhengqi Li, Noah Snavely, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman:
UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images. 9973-9982 - Philipp Henzler, Niloy J. Mitra, Tobias Ritschel:
Escaping Plato's Cave: 3D Shape From Adversarial Rendering. 9983-9992 - Di Qiu, Jiahao Pang, Wenxiu Sun, Chengxi Yang:
Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module. 9993-10002 - Erickson Rangel do Nascimento
GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images. 10003-10011 - Alan Lukezic, Ugur Kart, Jani Käpylä, Ahmed Durmush
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. 10012-10021 - Yun Chen
Learning Joint 2D-3D Representations for Depth Completion. 10022-10031
Face & Body
- Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He:
Make a Face: Towards Arbitrary High Fidelity Face Manipulation. 10032-10041 - Peipei Li, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun:
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis. 10042-10050 - Bingyu Liu
Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition. 10051-10060 - Xiaowei Yuan, In Kyu Park:
Face De-Occlusion Using 3D Morphable Model and Generative Adversarial Network. 10061-10070 - Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros
Detecting Photoshopped Faces by Scripting Photoshop. 10071-10080 - Ye Yuan, Kris Kitani:
Ego-Pose Estimation and Forecasting As Real-Time PD Control. 10081-10091 - Jie Song, Bjoern Andres
End-to-End Learning for Graph Decomposition. 10092-10101 - Joseph P. Robinson, Yuncheng Li, Ning Zhang, Yun Fu, Sergey Tulyakov:
Laplace Landmark Localization. 10102-10111 - Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Hang Zhao, Tianhong Li, Antonio Torralba, Dina Katabi:
Through-Wall Human Mesh Recovery Using Radio Signals. 10112-10121 - Hakan Cevikalp, Golara Ghorban Dordinejad:
Discriminatively Learned Convex Models for Set Based Face Recognition. 10122-10131 - Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee:
Camera Distance-Aware Top-Down Approach for 3D Multi-Person Pose Estimation From a Single RGB Image. 10132-10141 - Jiyoung Lee
Context-Aware Emotion Recognition Networks. 10142-10151 - Shengju Qian, Keqiang Sun, Wayne Wu, Chen Qian, Jiaya Jia:
Aggregation via Separation: Boosting Facial Landmark Detector With Semi-Supervised Style Translation. 10152-10162 - Felix Kuhnke, Jörn Ostermann:
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces. 10163-10172
Computational Photography & Graphics
- Eden Sassoon, Tali Treibitz, Yoav Y. Schechner:
Flare in Interference-Based Hyperspectral Cameras. 10173-10181 - Shipeng Zhang, Lizhi Wang, Ying Fu, Xiaoming Zhong, Hua Huang
Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery. 10182-10191 - Julie Chang, Gordon Wetzstein
Deep Optics for Monocular Depth Estimation and 3D Object Detection. 10192-10201 - Shirsendu Sukanta Halder
Physics-Based Rendering for Improving Robustness to Rain. 10202-10211 - Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao:
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal. 10212-10221 - Jiawei Ma
Deep Tensor ADMM-Net for Snapshot Compressive Imaging. 10222-10231
Low-Level & Optimization
- Thomas Probst, Danda Pani Paudel
Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision. 10232-10241 - Christopher Zach, Guillaume Bourmaud:
Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation. 10242-10250 - Yifan Sun, Jiacheng Zhuo, Arnav Mohan, Qixing Huang:
K-Best Transformation Synchronization. 10251-10260 - Jonas Geiping, Michael Moeller:
Parametric Majorization for Data-Driven Energy Minimization Methods. 10261-10272 - Xingchen Ma, Amal Rannen Triki, Maxim Berman, Christos Sagonas, Jacques Calì, Matthew B. Blaschko
A Bayesian Optimization Framework for Neural Network Compression. 10273-10282 - Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching. 10283-10292
Language & Reasoning
- Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko
Language-Conditioned Graph Networks for Relational Reasoning. 10293-10302 - Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor:
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. 10303-10311 - Linjie Li
Relation-Aware Graph Attention Network for Visual Question Answering. 10312-10321 - Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Handong Zhao, Xu Yang, Gang Wang:
Unpaired Image Captioning via Scene Graph Alignments. 10322-10331 - Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning. 10332-10341 - Rui Lu, Feng Xue, Menghan Zhou, Anlong Ming, Yu Zhou:
Occlusion-Shared and Feature-Separated Network for Occlusion Relationship Reasoning. 10342-10351 - Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani:
Compositional Video Prediction. 10352-10361 - Mohammed Suhail, Leonid Sigal:
Mixture-Kernel Graph Attention Network for Situation Recognition. 10362-10371 - Reuben Tan, Mariya I. Vasileva, Kate Saenko
Learning Similarity Conditions Without Explicit Supervision. 10372-10381 - Huikun Bi, Zhong Fang, Tianlu Mao, Zhaoqi Wang, Zhigang Deng
Joint Prediction for Kinematic Trajectories in Vehicle-Pedestrian-Mixed Scenes. 10382-10391 - Tingke Shen, Amlan Kar, Sanja Fidler:
Learning to Caption Images Through a Lifetime by Asking Questions. 10392-10401 - Yuanzhi Liang, Yalong Bai
VrR-VG: Refocusing Visually-Relevant Relationships. 10402-10411
3D From Multiview & Sensors
- Andrea Romanoni, Matteo Matteucci:
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. 10412-10421 - Armin Mustafa
U4D: Unsupervised 4D Dynamic Scene Understanding. 10422-10431 - Li Jiang
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation. 10432-10440 - Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. 10441-10450 - Keyang Luo, Tao Guan, Lili Ju
P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo. 10451-10460
Image & Video Synthesis
- Yung-Han Ho, Chuan-Yuan Cho, Guo-Lun Jin, Wen-Hsiao Peng
SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning. 10461-10469 - Xintong Han, Weilin Huang, Xiaojun Hu, Matthew R. Scott:
ClothFlow: A Flow-Based Model for Clothed Person Generation. 10470-10479 - Qiao Gu, Guanzhi Wang
LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup. 10480-10489 - Tsun-Hsuan Wang, Yen-Chi Cheng
Point-to-Point Video Generation. 10490-10499 - Hongchen Tan
Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis. 10500-10509 - Ruiyun Yu, Xiaoqi Wang, Xiaohui Xie:
VTNFP: An Image-Based Virtual Try-On Network With Body and Clothing Feature Preservation. 10510-10519 - Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman:
Boundless: Generative Adversarial Networks for Image Extension. 10520-10529 - Wei Sun, Tianfu Wu
Image Synthesis From Reconfigurable Layout and Style. 10530-10539 - Kenan E. Ak, Ashraf A. Kassim, Joo-Hwee Lim, Jo Yew Tham:
Attribute Manipulation Generative Adversarial Networks for Fashion Images. 10540-10549 - Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz:
Few-Shot Unsupervised Image-to-Image Translation. 10550-10559 - Zongxin Yang, Jian Dong, Ping Liu, Yi Yang, Shuicheng Yan:
Very Long Natural Scenery Image Prediction by Outpainting. 10560-10569
Applications, Medical & Robotics
- Ronak Mehta, Rudrasis Chakraborty, Vikas Singh, Yunyang Xiong:
Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains. 10570-10578 - Jinwoo Kim, Woojae Kim, Heeseok Oh, Seongmin Lee, Sanghoon Lee:
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents. 10579-10588 - Botong Wu, Xinwei Sun
Learning With Unsure Data for Medical Image Diagnosis. 10589-10598 - Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu
Recursive Cascaded Networks for Unsupervised Medical Image Registration. 10599-10609 - Haoliang Sun
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. 10610-10619 - Rudrasis Chakraborty, Xingjian Zhen, Nicholas Vogt, Barbara B. Bendlin
Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data. 10620-10630 - Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu:
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision. 10631-10640 - Xiaoping Wu, Ni Wen, Jie Liang, Yu-Kun Lai, Dongyu She, Ming-Ming Cheng
Joint Acne Image Grading and Counting via Label Distribution Learning. 10641-10650 - Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille
An Alarm System for Segmentation Algorithm Based on Shape Model. 10651-10660 - Lyndon Chan, Mahdi S. Hosseini, Corwyn Rowsell, Konstantinos N. Plataniotis, Savvas Damaskinos:
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images. 10661-10670 - Yuyin Zhou
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation. 10671-10680 - Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang, Cancheng Liu, Shuhao Wang
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation. 10681-10690 - Seong Jae Hwang
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. 10691-10700 - Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada:
Multi-Stage Pathological Image Classification Using Semantic Segmentation. 10701-10710 - Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou:
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation. 10711-10720 - Shir Gur, Lior Wolf, Lior Golgher
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network. 10721-10730 - Prune Truong, Stefanos Apostolopoulos, Agata Mosinska, Samuel Stucky, Carlos Ciller, Sandro De Zanet:
GLAMpoints: Greedily Learned Accurate Match Points. 10731-10740
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