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Paper IDPaper TitleAuthor NamesPrimary Subject AreaSecondary Subject AreasStatusDay.Time.TrackGroupTopicTrack 1Track 2Track 3
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5Finding Task-Relevant Features for Few-Shot Learning by Category TraversalHongyang Li (The Chinese University of Hong Kong)*; David Eigen (Clarifai Inc.); Samuel Dodge (Clarifai Inc.); Matt Zeiler (Clarifai Inc.); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong)Deep LearningOral1.1.11Deep LearningOrals 1.1Deep Learning3D MultiviewAction & Video
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6340Edge-Labeling Graph Neural Network for Few-shot LearningJongmin Kim (KAIST)*; Taesup Kim (Université de Montréal); Sungwoong Kim (Kakao Brain); Chang D. Yoo (KAIST)Deep LearningRecognition: Detection, Categorization, Retrieval; Representation Learning; Segmentation, Grouping aOral1.1.11Orals 1.2RecognitionSynthesisScenes & Representation
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5728Generating Classification Weights with Graph Neural Networks for Few-Shot LearningSpyros Gidaris (valeo.ai)*; Nikos Komodakis ("ENPC, France")Deep LearningRecognition: Detection, Categorization, RetrievalOral1.1.11Orals 2.1Deep Learning3D Single View & RGBDMotion & Biometrics
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257Kervolutional Neural NetworksChen Wang (Nanyang Technological University)*; JIANFEI YANG (Nanyang Technological University); Prof. Dr. Respected Colleauge (IJCAS Editorial Member); Junsong Yuan ("State University of New York at Buffalo, USA")Deep LearningComputer Vision TheoryOral1.1.12Orals 2.2RecognitionLanguage & ReasoningComp. Photography & Graphics
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4863Why ReLu networks yield high-confidence predictions far away from the training data and how to mitigate the problemMatthias Hein (University of Tuebingen)*; Maksym Andriushchenko (Saarland University); Julian Bitterwolf (University of Tuebingen)Deep LearningStatistical LearningOral1.1.12Orals 3.1ApplicationsLearning, Physics, Theory, & DatasetsSegmentation & Grouping
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6679On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis FunctionsYusuke Tsuzuku (The University of Tokyo/RIKEN)*; Issei Sato (The university of Tokyo/RIKEN)Deep LearningOthersOral1.1.12Orals 3.2Deep LearningFace & BodyLow-level & Optimization
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948Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource UtilizationSiyuan Qiao (Johns Hopkins University)*; Zhe Lin (Adobe Research); Jianming Zhang (Adobe Research); Alan Yuille (Johns Hopkins University)Deep LearningOral1.1.13
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2284Hardness-Aware Deep Metric LearningWenzhao Zheng (Tsinghua University); Zhaodong Chen (Tsinghua University); Jiwen Lu (Tsinghua University)*; Jie Zhou (Tsinghua University)Deep LearningRepresentation LearningOral1.1.13
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1183Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image SegmentationChenxi Liu (Johns Hopkins University)*; Liang-Chieh Chen (Google Inc.); Florian Schroff (Google Inc.); Hartwig Adam (Google); Wei Hua (Google); Alan Yuille (Johns Hopkins University); Li Fei-Fei (Stanford University)Deep LearningSegmentation, Grouping and ShapeOral1.1.13
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1535Learning to Learn Loss for Active LearningDonggeun Yoo (Lunit)*; In So Kweon (KAIST)Deep LearningOthers; Recognition: Detection, Categorization, Retrieval; Vision Applications and SystemsOral1.1.14
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2230Striking the Right Balance with UncertaintySalman Khan (Australian National University (ANU)); Munawar Hayat (University of Canberra); Waqas Zamir (IIAI); Jianbing Shen (Beijing Institute of Technology)*; Ling Shao (Inception Institute of Artificial Intelligence)Deep LearningLow-level VisionOral1.1.14
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2368AutoAugment: Learning Augmentation Strategies from DataEkin D Cubuk (Google Brain)*; Barret Zoph (Google); Dandelion Mane (Protocol Labs); Vijay Vasudevan (Google Brain); Quoc Le (Google Brain)Deep LearningOral1.1.14
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494SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without CorrespondencesHuu Minh Le (Queensland University of Technology)*; Thanh-Toan Do (The University of Liverpool); Tuan NA Hoang (Singapore University of Technology and Design); Ngai-Man Cheung (Singapore University of Technology and Design)3D from Multiview and SensorsOral1.1.213D Multiview
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2315BAD SLAM: Bundle Adjusted Direct RGB-D SLAMThomas Schöps (ETH Zurich)*; Torsten Sattler (Chalmers University of Technology); Marc Pollefeys (ETH Zurich / Microsoft)3D from Multiview and SensorsDatasets and Evaluation; RGBD sensors and analyticsOral1.1.21
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2286Revealing Scenes by Inverting Structure from Motion ReconstructionsFrancesco Pittaluga (University of Florida)*; Sanjeev J Koppal (University of Florida); Sing Bing Kang (Microsoft Research); Sudipta Sinha (Microsoft Research)3D from Multiview and SensorsDeep Learning ; Image and Video SynthesisOral1.1.21
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1185Strand-accurate Multi-view Hair CaptureGiljoo Nam (KAIST)*; Chenglei Wu (Facebook Reality Labs); Min H. Kim (KAIST); Yaser Sheikh (Facebook Reality Labs)3D from Multiview and SensorsVision + GraphicsOral1.1.22
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6756DeepSDF: Learning Continuous Signed Distance Functionsfor Shape RepresentationJeong Joon Park (University of Washington)*; Peter R Florence (MIT); Julian Straub (Facebook Reality Labs); Richard Newcombe (Facebook); Steven Lovegrove (Facebook)Deep Learning3D from Multiview and Sensors; Representation Learning; Vision + GraphicsOral1.1.22
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2957Pushing the Boundaries of View Extrapolation with Multiplane ImagesPratul Srinivasan (UC Berkeley)*; Richard Tucker (Google); Jonathan T Barron (Google Research); Ravi Ramamoorthi (University of California San Diego); Ren Ng (UC Berkeley); Noah Snavely (Cornell University and Google AI)3D from Multiview and SensorsComputational Photography; Image and Video Synthesis; Vision + GraphicsOral1.1.22
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1935GA-Net: Guided Aggregation Net for End-to-end Stereo MatchingFeihu Zhang (University of Oxford)*; Victor Adrian Prisacariu (University of Oxford); Yang Ruigang (Baidu); Philip Torr (University of Oxford)3D from Multiview and SensorsDeep LearningOral1.1.23
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2901Real-time self-adaptive deep stereoAlessio Tonioni (University of Bologna); Fabio Tosi (University of Bologna); Matteo Poggi (University of Bologna)*; Stefano Mattoccia (University of Bologna); Luigi Di Stefano (University of Bologna)3D from Multiview and SensorsDeep Learning ; Low-level VisionOral1.1.23
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6639LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence EstimationSunok Kim (Yonsei University); Seungryong Kim (Yonsei University); Dongbo Min (Ewha Womans University); Kwanghoon Sohn (Yonsei Univ.)*3D from Multiview and SensorsOthersOral1.1.23
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3522NM-Net: Mining Reliable Neighbors for Robust Feature CorrespondencesChen Zhao (Huazhong University of Science and Technology); Zhiguo Cao (Huazhong Univ. of Sci.&Tech.); chi li (Huazhong University of Science and Technology); Xin Li (West Virginia University); Jiaqi Yang (Huazhong Univ. of Sci.&Tech.)*3D from Multiview and SensorsRepresentation LearningOral1.1.24
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5852Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View GeometryMatthew Trager (NYU)*; Martial Hebert (Carnegie Mellon University); Jean Ponce (Inria)3D from Multiview and SensorsComputer Vision TheoryOral1.1.24
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1944Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth ImageXiaoguang Han (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen))*; Zhaoxuan Zhang (Dalian University of Technology, Shenzhen Research Institute of Big Data); Dong Du (University of Science and Technology of China, Shenzhen Research Institute of Big Data); Mingdai Yang (Chinese University of Hong Kong, Shenzhen); Jingming Yu (Alibaba); Pan Pan (Alibaba Group); Xin Yang (Dalian University of Technology); Ligang Liu (University of Science and Technology of China); Zixiang Xiong (Texas A&M University); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen )3D from Multiview and SensorsDeep LearningOral1.1.24
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292Video Action Transformer NetworkRohit Girdhar (Carnegie Mellon University)*; Joao Carreira (DeepMind); Carl Doersch (DeepMind); Andrew Zisserman (University of Oxford)Action RecognitionDeep LearningOral1.1.31Action & Video
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302Timeception for Complex Action RecognitionNoureldien Hussein (University of Amsterdam)*; Stratis Gavves (University of Amsterdam); Arnold W.M. Smeulders (University of Amsterdam)Action RecognitionVideo AnalyticsOral1.1.31
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1670STEP: Spatio-Temporal Progressive Learning for Video Action DetectionXitong Yang (University of Maryland)*; Xiaodong Yang (NVIDIA Research); Ming-Yu Liu (NVIDIA); Fanyi Xiao (University of California Davis); Larry Davis (University of Maryland); Jan Kautz (NVIDIA)Video AnalyticsOral1.1.31
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1745Relational Action ForecastingChen Sun (Google)*; Abhinav Shrivastava (University of Maryland); Carl Vondrick (Columbia University); Rahul Sukthankar (Google); Kevin Murphy (Google); Cordelia Schmid (Google)Action RecognitionVideo AnalyticsOral1.1.32
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2310Long-Term Feature Banks for Detailed Video UnderstandingChao-Yuan Wu (UT Austin)*; Christoph Feichtenhofer (Facebook AI Research); Haoqi Fan (Facebook AI Research); Kaiming He (Facebook AI Research); Philipp Kraehenbuehl (UT Austin); Ross Girshick (FAIR)Action RecognitionDeep Learning ; Recognition: Detection, Categorization, Retrieval; Scene Analysis and Understanding;Oral1.1.32
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229Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic ScenesYuke Li (York University)*Motion and TrackingVideo AnalyticsOral1.1.32
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3106What and How Well You Performed? A Multitask Approach To Action Quality AssessmentParitosh Parmar (UNLV)*; Brendan Morris (UNLV)Face, Gesture, and Body PoseAction Recognition ; Datasets and Evaluation; Video AnalyticsOral1.1.33
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1382MHP-VOS: Video Object Segmentation with Multiple Hypotheses PropagationShuangjie Xu (Huazhong University of Science and Technology); Daizong Liu (Huazhong University of Science and Technology); Linchao Bao (Tencent AI Lab)*; Wei Liu (Tencent); Pan Zhou ( Huazhong University of Science and Technology)Video AnalyticsMotion and Tracking; Segmentation, Grouping and ShapeOral1.1.33
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15172.5D Visual SoundRuohan Gao (University of Texas at Austin)*; Kristen Grauman (Facebook AI Research & UT Austin)Video AnalyticsRecognition: Detection, Categorization, Retrieval; Representation LearningOral1.1.33
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1999Language-driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning ModelWeining Wang (Institute of Automation, Chinese Academy of Sciences)*; Yan Huang (Institute of Automation, Chinese Academy of Sciences); Liang Wang (NLPR, China)Video AnalyticsVision + LanguageOral1.1.34
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5591Gaussian Temporal Awareness Networks for Action LocalizationFuchen Long (University of Science and Technology of China); Ting Yao (JD AI Research)*; Zhaofan Qiu (University of Science and Technology of China); Xinmei Tian (USTC); Jiebo Luo (U. Rochester); Tao Mei (AI Research of JD.com)Video AnalyticsAction RecognitionOral1.1.34
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6940Efficient Video Classification Using Fewer FramesShweta Bhardwaj (Indian Institute of Technology Madras, Chennai)*; Mukundhan Srinivasan (NVIDIA); Mitesh M. Khapra (Indian Institute of Technology Madras)Video AnalyticsDeep Learning ; Vision Applications and SystemsOral1.1.34
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16Joint Discriminative and Generative Learning for Person Re-identificationZhedong Zheng (University of Technology Sydney)*; Xiaodong Yang (NVIDIA Research); Zhiding Yu (NVIDIA); Liang Zheng (Australian National University); Yi Yang (University of Technology, Sydney); Jan Kautz (NVIDIA)Recognition: Detection, Categorization, RetrievalFace, Gesture, and Body Pose ; Representation LearningOral1.2.11Recognition
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522Unsupervised Person Re-identification by Soft Multilabel LearningHong-Xing Yu (Sun Yat-Sen University); WEI-SHI ZHENG (Sun Yat-sen University, China)*; Ancong Wu (Sun Yat-sen University); Xiaowei Guo (Tencent Youtu Lab); Shaogang Gong (Queen Mary University of London); Jian-Huang Lai (Sun Yat-sen University)BiometricsRecognition: Detection, Categorization, Retrieval; Video AnalyticsOral1.2.11
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2262Learning Context Graph for Person SearchYichao Yan (Shanghai Jiao Tong University)*; Qiang Zhang (Shanghai Jiao Tong University); Bingbing Ni (Shanghai Jiao Tong University); Wendong Zhang (Shanghai Jiao Tong University); Minghao Xu (Shanghai Jiaotong University); Xiaokang Yang (Shanghai Jiao Tong University of China)Recognition: Detection, Categorization, RetrievalVisual ReasoningOral1.2.11
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220Gradient Matching Generative Networks for Zero-Shot LearningMert Bulent Sariyildiz (Bilkent University)*; Ramazan Gokberk Cinbis (METU)Recognition: Detection, Categorization, RetrievalVision + LanguageOral1.2.12
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4499Doodle to Search: Practical Zero-Shot Sketch-based Image RetrievalSounak Dey (Computer Vision Center)*; Pau Riba (Computer Vision Center); Anjan Dutta (Computer Vision Center); Josep Llados ("Computer Vision Center, Barcelona"); Yi-Zhe Song (Queen Mary University of London)Recognition: Detection, Categorization, RetrievalDeep Learning ; Vision + Graphics ; Vision Applications and SystemsOral1.2.12
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5230Zero-Shot Task TransferArghya Pal ( Indian Institute of Technology Hyderabad)*; Vineeth N Balasubramanian (Indian Institute of Technology, Hyderabad)Representation LearningComputer Vision Theory; Deep Learning ; Optimization Methods; Vision + Graphics ; Vision ApplicationOral1.2.12
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906C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionFang Wan (University of Chinese Academy of Sciences)*; Chang Liu (University of Chinese Academy of Sciences); Wei Ke (University of Chinese Academy of Sciences); Xiangyang Ji (Tsinghua University); Jianbin Jiao (University of Chinese Academy of Sciences); Qixiang Ye (University of Chinese Academy of Sciences, China)Recognition: Detection, Categorization, RetrievalOptimization Methods; Others; Statistical Learning; Visual ReasoningOral1.2.13
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2973Learning Inter-pixel Relations for Weakly Supervised Instance SegmentationJiwoon Ahn (DGIST); Sunghyun Cho (DGIST); Suha Kwak (POSTECH)*Recognition: Detection, Categorization, RetrievalSegmentation, Grouping and ShapeOral1.2.13
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3916Attention-based Dropout Layer for Weakly Supervised Object LocalizationJunsuk Choe (Yonsei University); Hyunjung Shim (Yonsei University)*Recognition: Detection, Categorization, RetrievalDeep Learning ; Scene Analysis and UnderstandingOral1.2.13
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1019Domain Generalization by Solving Jigsaw PuzzlesFabio M. Carlucci (Huawei); Antonio D'Innocente (Sapienza Università di Roma); Silvia Bucci (Italian Institute of Technology); Barbara Caputo (IIT); Tatiana Tommasi (Italian Institute of Technology)*Recognition: Detection, Categorization, RetrievalDeep LearningOral1.2.14
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3628Transferrable Prototypical Networks for Unsupervised Domain AdaptationYingwei Pan (JD AI Research)*; Ting Yao (JD AI Research); Yehao Li (Sun Yat-Sen University); Yu Wang (JD AI Research); Chong-Wah Ngo (City University of Hong Kong); Tao Mei (AI Research of JD.com)Recognition: Detection, Categorization, RetrievalOral1.2.14
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1182Adversarial Meta-Adaptation Network for Blending-target Domain AdaptationZiliang Chen (Sun Yat-sen University)*; Jingyu Zhuang (Sun Yat-sen University); Xiaodan Liang (Sun Yat-sen University); Liang Lin (Sun Yat-sen University)Recognition: Detection, Categorization, RetrievalDeep LearningOral1.2.14
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1113ELASTIC: Improving CNNs by Instance Specific Scaling PoliciesHuiyu Wang (Johns Hopkins University)*; Aniruddha Kembhavi (Allen Institute for Artificial Intelligence); Ali Farhadi (University of Washington, Allen Institute for Artificial Intelligence); Alan Yuille (Johns Hopkins University); Mohammad Rastegari (Allen Institute for Artificial Intelligence)Recognition: Detection, Categorization, RetrievalDeep LearningOral1.2.15
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1782ScratchDet: Training Single-Shot Object Detectors from ScratchRui Zhu (JD AI Research)*; Shifeng Zhang (CBSR, NLPR, CASIA); Xiaobo Wang (JD AI Research); Longyin Wen (JD Digits); Hailin Shi (JD AI Research); Liefeng Bo (JD Finance); Tao Mei (AI Research of JD.com)Recognition: Detection, Categorization, RetrievalDeep LearningOral1.2.15
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3294SFNet: Learning Object-aware Semantic CorrespondenceJunghyup Lee (Yonsei University); DOHYUNG KIM (YONSEI UNIVERSITY); Jean Ponce (Inria); Bumsub Ham (Yonsei University)*Recognition: Detection, Categorization, RetrievalMotion and Tracking; Scene Analysis and UnderstandingOral1.2.15
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1294Deep Metric Learning Beyond Binary SupervisionSungyoun Kim (POSTECH); Minkyo Seo (POSTECH); Ivan Laptev (INRIA Paris); Minsu Cho (POSTECH); Suha Kwak (POSTECH)*Recognition: Detection, Categorization, RetrievalOral1.2.16
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1510Learning to Cluster Faces on an Affinity GraphLei Yang (The Chinese University of Hong Kong)*; Xiaohang Zhan (The Chinese University of Hong Kong); Dapeng Chen (Sensetime Group Limited); Junjie Yan (Sensetime Group Limited); Chen Change Loy (Nanyang Technological University); Dahua Lin (The Chinese University of Hong Kong)Recognition: Detection, Categorization, RetrievalDeep Learning ; Face, Gesture, and Body Pose ; Segmentation, Grouping and ShapeOral1.2.16
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1610C2AE: Class Conditioned Auto-Encoder for Open-set RecognitionPoojan B Oza (Johns Hopkins University)*; Vishal Patel (Johns Hopkins University)Recognition: Detection, Categorization, RetrievalVision Applications and SystemsOral1.2.16
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1426Shapes and Context: In-the-wild Image Synthesis & ManipulationAayush Bansal (Carnegie Mellon University)*; Yaser Sheikh (CMU); Deva Ramanan (Carnegie Mellon University)Image and Video SynthesisBig Data, Large Scale Methods ; Segmentation, Grouping and Shape; Vision + GraphicsOral1.2.21Synthesis
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462Semantics Disentangling for Text-to-Image GenerationGuojun Yin (University of Science and Technology of China); Bin Liu (University of Science and Technology of China); Lu Sheng (The Chinese University of Hong Kong)*; Nenghai Yu (University of Science and Technology of China); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong); Jing Shao (Sensetime)Image and Video SynthesisVision + LanguageOral1.2.21
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2072Semantic Image Synthesis with Spatially-Adaptive NormalizationTaesung Park (UC Berkeley)*; Ming-Yu Liu (NVIDIA); Ting-Chun Wang (NVIDIA); Jun-Yan Zhu (MIT)Image and Video SynthesisComputational Photography; Deep Learning ; Vision + GraphicsOral1.2.21
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609Progressive Pose Attention Transfer for Person Image GenerationZhen Zhu (Huazhong University of Science and Technology)*; Tengteng Huang (Huazhong University of Science and Technology); Baoguang Shi (Microsoft); Miao Yu (Huazhong University of Science and Technology); Bofei Wang (ZTE Corporation); Xiang Bai (Huazhong University of Science and Technology)Image and Video SynthesisOral1.2.22
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3269Unsupervised Person Image Generation with Semantic Parsing TransformationSijie Song (Peking University)*; Wei Zhang (JD AI Research); Jiaying Liu (Peking University); Tao Mei (AI Research of JD.com)Image and Video SynthesisVision Applications and SystemsOral1.2.22
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2439DeepView: View synthesis with learned gradient descentJohn P Flynn (Google Inc)*; Michael Broxton (Google); Paul E Debevec (Google VR); Graham Fyffe (Google Inc.); Ryan S. Overbeck (Google Inc.); Noah Snavely (Google); Richard Tucker (Google); Matthew DuVall (Google)Image and Video Synthesis3D from Multiview and Sensors; Computational Photography; Deep Learning ; Optimization MethodsOral1.2.22
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4908Animating Arbitrary Objects via Deep Motion TransferAliaksandr Siarohin (University of Trento)*; Stéphane Lathuiliere (university of Trento); Sergey Tulyakov (Snap Inc); Elisa Ricci (FBK - Technologies of Vision); Nicu Sebe (University of Trento)Image and Video SynthesisDeep LearningOral1.2.23
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5428Textured Neural AvatarsAliaksandra Shysheya (Samsung); Egor Zakharov (Skoltech); Renat Bashirov (Samsung); Igor Pasechnik (Samsung); Egor Burkov (Skoltech); Dmitry Ulyanov (Skoltech); Yury Malkov (Samsung); Karim Iskakov (Samsung); Kara-Ali Aliev (Samsung); Alexey Ivakhnenko (Samsung); Alexander Vakhitov (Samsung AI Research Center); Victor Lempitsky (Samsung)*Image and Video SynthesisDeep Learning ; Vision + Graphics ; Vision Applications and SystemsOral1.2.23
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3190IM-Net for High Resolution Video Frame InterpolationTomer Peleg (Samsung Israel R&D Center)*; Pablo Szekely (Samsung Israel R&D Center); Doron Sabo (Samsung Israel R&D Center); Omry Sendik (Samsung Israel R&D Center)Image and Video SynthesisDatasets and Evaluation; Deep Learning ; Low-level Vision; Motion and Tracking; Vision ApplicationsOral1.2.23
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1240Homomorphic Latent Space Interpolation for Unpaired Image-to-image TranslationYingcong Chen (Chinese University of Hong Kong)*; Xiaogang XU (The Chinese University of Hong Kong); Zhuotao Tian (Chinese University of Hong Kong); Jiaya Jia (Chinese University of Hong Kong)Image and Video SynthesisFace, Gesture, and Body Pose ; Vision Applications and SystemsOral1.2.24
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3069Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image TranslationHao Tang (University of Trento)*; Dan Xu (University of Oxford); Yan Yan (Texas State University); Yanzhi Wang (Northeastern University); Jason J Corso (University of Michigan); Nicu Sebe (University of Trento)Image and Video SynthesisOral1.2.24
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4341Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain MappingHuan Fu (The University of Sydney)*; Mingming Gong (University of Pittsburgh); Chaohui Wang (Laboratoire d'Informatique Gaspard Monge, Université Paris-Est); Kayhan Batmanghelich (University of Pittsburgh / Carnegie Mellon University); Kun Zhang (Carnegie Mellon University); Dacheng Tao (University of Sydney)Image and Video SynthesisDeep LearningOral1.2.24
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3521DeepVoxels: Learning Persistent 3D Feature EmbeddingsVincent Sitzmann (Stanford University)*; Justus Thies (Technical University of Munich); Felix Heide (Princeton University); Matthias Niessner (Technical University of Munich); Gordon Wetzstein (Stanford University); Michael Zollhoefer (Stanford University)Image and Video SynthesisDeep LearningOral1.2.25
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5944Inverse Path Tracing for Joint Material and Lighting EstimationDejan Azinovic (Technical University of Munich)*; Tzu-Mao Li (MIT CSAIL); Matthias Niessner (Technical University of Munich); Anton Kaplanyan (Facebook Reality Labs)Image and Video SynthesisComputational Photography; Computer Vision Theory; Optimization Methods; Scene Analysis and UnderstaOral1.2.25
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4057The Visual Centrifuge: Model-Free Layered Video RepresentationsJean-Baptiste Alayrac (DeepMind); Joao Carreira (DeepMind)*; Andrew Zisserman (University of Oxford)Image and Video SynthesisComputational Photography; Deep Learning ; Representation Learning; Scene Analysis and UnderstandingOral1.2.25
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5720Label-Noise Robust Generative Adversarial NetworksTakuhiro Kaneko (The University of Tokyo)*; Yoshitaka Ushiku (The University of Tokyo); Tatsuya Harada (The University of Tokyo)Image and Video SynthesisDeep Learning ; Representation LearningOral1.2.26
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5766DLOW: Domain Flow for Adaptation and GeneralizationWen Li (ETH Zurich)*; RUI GONG (ETH Zurich); Yuhua Chen (ETH Zurich); Luc Van Gool (ETH Zurich)Image and Video SynthesisDeep Learning ; Scene Analysis and UnderstandingOral1.2.26
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6970CollaGAN: Collaborative GAN for Missing Image Data ImputationDongwook Lee (Korea Advanced Institute of Science and Technology)*; Junyoung Kim (Korea Advanced Institute of Science and Technology); Won-Jin Moon (Konkuk University Medical Center); Jong Chul Ye ("Department of Bio and Brain Engineering, KAIST, Korea")Image and Video SynthesisDeep Learning ; Face, Gesture, and Body Pose ; Medical, Biological and Cell MicroscopyOral1.2.26
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6592d-SNE: Domain Adaptation using Stochastic Neighborhood EmbeddingXiang Xu (University of Houston); Xiong Zhou (amazon); Ragav Venkatesan (Amazon)*; Orchid Majumder (Amazon); Guru Swaminathan (Amazon)Recognition: Detection, Categorization, RetrievalRepresentation LearningOral1.2.31Scenes and Representation
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197Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain AdaptationYawei Luo (University of Technology Sydney)*; Liang Zheng (Australian National University); Tao Guan (Huazhong University of Science and Technology); Junqing Yu (Huazhong University of Science & Technology); Yi Yang (University of Technology, Sydney)Segmentation, Grouping and ShapeDeep LearningOral1.2.31
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396ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationTuan-Hung VU (Valeo.ai)*; Himalaya Jain (Valeo.ai); Maxime Bucher (Valeo.ai); Matthieu Cord (Sorbonne University); Patrick Pérez (Valeo.ai)Scene Analysis and UnderstandingDeep Learning ; Recognition: Detection, Categorization, Retrieval; Segmentation, Grouping and ShapeOral1.2.31
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325Local Feature Augmentation with Cross-Modality ContextZixin Luo (HKUST)*; Tianwei Shen (HKUST); Lei Zhou (HKUST); Jiahui Zhang (Tsinghua University); Yao Yao (The Hong Kong University of Science and Technology); Shiwei Li (HKUST); Tian Fang (HKUST); Long Quan (Hong Kong University of Science and Technology)Representation LearningLow-level VisionOral1.2.32
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556Large-scale Long-Tailed Recognition in an Open WorldZiwei Liu (The Chinese University of Hong Kong)*; Zhongqi Miao (UC Berkeley); Xiaohang Zhan (The Chinese University of Hong Kong); Jiayun Wang (UC Berkeley / ICSI); Boqing Gong (Tencent AI Lab); Stella X Yu (UC Berkeley / ICSI)Representation LearningRecognition: Detection, Categorization, RetrievalOral1.2.32
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5137AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than DataLiheng Zhang (University of Central Florida); Guo-Jun Qi (Huawei Cloud)*; Liqiang Wang (University of Central Florida); Jiebo Luo (University of Rochester)Representation LearningDeep LearningOral1.2.32
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576SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching TasksRené Schuster (DFKI)*; Oliver Wasenmüller (DFKI); Christian Unger (BMW); Didier Stricker (DFKI)Representation LearningDeep Learning ; Motion and Tracking; Robotics + Driving; Scene Analysis and Understanding; Vision ApOral1.2.33
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2746Learning Correspondence from the Cycle-consistency of TimeXiaolong Wang (CMU)*; Allan Jabri (UC Berkeley); Alexei A Efros (UC Berkeley)Representation LearningMotion and Tracking; Video AnalyticsOral1.2.33
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2131AE^2-Nets: Autoencoder in Autoencoder NetworksChangqing Zhang (Tianjin university)*; liu yeqing (Tianjin University ); Huazhu Fu (Inception Institute of Artificial Intelligence)Representation LearningStatistical LearningOral1.2.33
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1655Mitigating Information Leakage in Image Representations: A Maximum Entropy ApproachProteek Roy (Michigan State University); Vishnu Boddeti (Michigan State University)*Representation LearningOptimization Methods; Statistical LearningOral1.2.34
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3877Learning Spatial Common Sense with Geometry-Aware Recurrent NetworksHsiao-Yu Tung (Carnegie Mellon University)*; Ricson Cheng (Carnegie Mellon University); Katerina Fragkiadaki (Carnegie Mellon University)Representation Learning3D from Single Image; Recognition: Detection, Categorization, Retrieval; Scene Analysis and UnderstaOral1.2.34
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3147Structured Knowledge Distillation for Semantic SegmentationYifan Liu (University of Adelaide); Ke Chen (Microsoft); Chris Liu (Microsoft); Zengchang Qin (Intelligent Computing & Machine Learning Lab, School of ASEE, Beihang University); Zhenbo Luo ( Samsung Research Institute China-Beijing); Jingdong Wang (Microsoft Research)*Segmentation, Grouping and ShapeScene Analysis and UnderstandingOral1.2.34
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977Scan2CAD: Learning CAD Model Alignment in RGB-D ScansArmen Avetisyan (Technical University of Munich)*; Manuel Dahnert (Technical University of Munich); Angela Dai (Technical University of Munich); Manolis Savva (Simon Fraser University); Angel X Chang (Eloquent Labs); Matthias Niessner (Technical University of Munich)Scene Analysis and UnderstandingRecognition: Detection, Categorization, Retrieval; Vision + GraphicsOral1.2.35
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2799Towards Scene Understanding: Unsupervised Monocular Depth Estimation with Semantic-aware RepresentationPo-Yi Chen (National Taiwan University); Alexander H. Liu (National Taiwan University); Yen-Cheng Liu (Georgia Institute of Technology); Yu-Chiang Frank Wang (National Taiwan University)*Scene Analysis and Understanding3D from Single Image; Representation Learning; Robotics + Driving; Segmentation, Grouping and ShapeOral1.2.35
88
3107Tell Me Where I Am: Object-level Scene Context PredictionXiaotian Qiao (City University of Hong Kong); Quanlong Zheng (City University of HongKong); Ying Cao (City University of Hong Kong)*; Rynson W.H. Lau (City University of Hong Kong)Scene Analysis and UnderstandingImage and Video SynthesisOral1.2.35
89
1373Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size EstimationHe Wang (Stanford University); Srinath Sridhar (Stanford University)*; Jingwei Huang (Stanford University); Julien Valentin (Google); Shuran Song (Princeton); Leonidas Guibas (Stanford University)Scene Analysis and Understanding3D from Single Image; Datasets and Evaluation; Deep Learning ; RGBD sensors and analytics; Vision ApOral1.2.36
90
2452Supervised Fitting of Geometric Primitives to 3D Point CloudsLingxiao Li (Stanford University)*; Minhyuk Sung (Stanford University); Anastasia Dubrovina (Stanford); Li Yi (Stanford); Leonidas Guibas (Stanford University)Segmentation, Grouping and ShapeDeep Learning ; Vision + GraphicsOral1.2.36
91
4225Do Better ImageNet Models Transfer Better?Simon Kornblith (Google)*; Jon Shlens (Google); Quoc Le (Google Brain)Representation LearningDeep LearningOral1.2.36
92
1213Learning Video Representations from Correspondence ProposalsXingyu Liu (Stanford University)*; Joon-Young Lee (Adobe Research); Hailin Jin (Adobe Research)Deep LearningAction Recognition ; Representation LearningOral2.1.11Deep Learning
93
1503SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep NetworksBo Li (SenseTime Group Limited)*; Wei Wu (SenseTime Group Limited); Junjie Yan (Sensetime Group Limited); Qiang Wang (University of Chinese Academy of Sciences); Fangyi Zhang (Institue of Computing Technology); Junliang Xing (Institute of Automation, Chinese Academy of Sciences)Deep LearningMotion and TrackingOral2.1.11
94
2556Sphere Generative Adversarial Network Based on Geometric Moment MatchingSung Woo Park (Chung-Ang Univ., Korea); Junseok Kwon (Chung-Ang Univ., Korea)*Deep LearningImage and Video SynthesisOral2.1.11
95
1431Adversarial Attacks Beyond the Image Spacexiaohui zeng (toronto); Chenxi Liu (Johns Hopkins University)*; Yu-Siang Wang (National Taiwan University); Weichao Qiu (Johns Hopkins University); Lingxi Xie (Johns Hopkins University); Yu-Wing Tai (Tencent); Chi-Keung Tang (Hong Kong University of Science and Technology); Alan Yuille (Johns Hopkins University)Deep LearningVision + GraphicsOral2.1.12
96
5297Evading Defenses to Transferable Adversarial Examples by Translation-Invariant AttacksYinpeng Dong (Tsinghua University)*; Tianyu Pang (Tsinghua University); Hang Su (Tsinghua Univiersity); Jun Zhu (Tsinghua University)Deep LearningRecognition: Detection, Categorization, RetrievalOral2.1.12
97
6129Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and DefensesJérôme Rony (ÉTS Montréal)*; Luiz Gustavo Hafemann (ÉTS Montréal); Luis Eduardo Oliveira (UFPR); Ismail Ben Ayed (ETS Montreal); Robert Sabourin (Canada); Eric Granger (ETS Montreal )Deep LearningOthers; Vision Applications and SystemsOral2.1.12
98
1472A General and Adaptive Robust Loss FunctionJonathan T Barron (Google Research)*Deep Learning3D from Single Image; Computer Vision Theory; Image and Video Synthesis; Low-level Vision; StatisticOral2.1.13
99
2677Filter Pruning via Geometric Median for Deep Convolutional Neural Networks AccelerationYang He (University of Technology Sydney)*; Ping Liu (UTS); Ziwei Wang (Information Science Academy, CETC); Zhilan Hu (Huawei); Yi Yang (University of Technology, Sydney)Deep LearningOthersOral2.1.13
100
4595Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task LossSangil Jung (Samsung)*; Changyong Son (Samsung); Seohyung Lee (Samsung); Jinwoo Son (Samsung); Jae-Joon Han (Samsung); Youngjun Kwak (Samsung); Sung Ju Hwang (KAIST); Changkyu Choi (Samsung)Deep LearningOptimization Methods; Vision Applications and SystemsOral2.1.13
101
1773Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region SelectionRuoqi Sun (Shanghai Jiao Tong University)*; Xinge Zhu (The Chinese University of Hong Kong); Chongruo Wu (UC Davis); Chen Huang (Carnegie Mellon University); Jianping Shi (Sensetime Group Limited); Lizhuang Ma (Shanghai Jiao Tong University)Deep LearningLow-level Vision; Segmentation, Grouping and ShapeOral2.1.14
102
3740Unsupervised Learning of Dense Shape CorrespondenceOshri Halimi (Technion)*; Or Litany (Facebook AI Research); Emanuele Rodola (Sapienza University of Rome); Alex Bronstein (Tel Aviv University, Israel); Ron Kimmel (Technion)Deep LearningComputer Vision Theory; Recognition: Detection, Categorization, Retrieval; Segmentation, Grouping anOral2.1.14
103
6188RePr: Improved Training of Convolutional FiltersAaditya Prakash (Brandeis University)*; James Storer (Brandeis University); Dinei Florencio (Microsoft Research); Cha Zhang (Microsoft Research)Deep LearningOral2.1.14
104
2726Balanced Self-Paced Learning for Generative Adversarial Clustering NetworkKamran Ghasedi (University of Pittsburgh)*; Xiaoqian Wang (University of Pittsburgh); Cheng Deng (Xidian University); Heng Huang (University of Pittsburgh)Deep LearningOral2.1.15
105
2860A Style-Based Generator Architecture for Generative Adversarial NetworksTero Karras (NVIDIA Research)*; Samuli Laine (NVIDIA Research); Timo Aila (NVIDIA Research)Deep LearningImage and Video Synthesis; Representation LearningOral2.1.15
106
5426Parallel Optimal Transport GANGil Avraham (Monash University)*; Yan Zuo (Monash University); Tom Drummond (Monash University)Deep LearningOptimization Methods; Representation LearningOral2.1.15
107
11703D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansJi Hou (Technical University of Munich); Angela Dai (Technical University of Munich); Matthias Niessner (Technical University of Munich)*3D from Multiview and SensorsSegmentation, Grouping and Shape; Vision Applications and SystemsOral2.1.213D Single View & RGBD
108
4854Causes and Corrections for Bimodal Multipath Scanning with Structured Lightyu zhang (Nanjing University )*; Daniel Lau (University of Kentucky); Ying Yu (University of Kentucky)3D from Multiview and SensorsRGBD sensors and analyticsOral2.1.21
109
7048TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on MeshesJingwei Huang (Stanford University)*; Haotian Zhang (Stanford University); Li Yi (Stanford); Thomas Funkhouser (Princeton University and Google, Inc.); Matthias Niessner (Technical University of Munich); Leonidas Guibas (Stanford University)RGBD sensors and analytics3D from Multiview and Sensors; Deep Learning ; Vision + GraphicsOral2.1.21
110
704PlaneRCNN: 3D Plane Detection and Reconstruction from a Single ViewChen Liu (Washington University in St. Louis)*; Kihwan Kim (NVIDIA); Jinwei Gu (NVIDIA); Yasutaka Furukawa (Simon Fraser University); Jan Kautz (NVIDIA)3D from Multiview and Sensors3D from Single Image; Scene Analysis and UnderstandingOral2.1.22
111
3976Occupancy Networks: Learning 3D Reconstruction in Function SpaceLars M Mescheder (MPI-IS and University of Tuebingen)*; Michael Oechsle (MPI-IS, University of Tuebingen and ETAS GmbH); Michael Niemeyer (MPI-IS and University of Tuebingen); Sebastian Nowozin (Google AI Berlin); Andreas Geiger (MPI-IS and University of Tuebingen)3D from Single ImageDeep LearningOral2.1.22
112
25753D Shape Reconstruction from Images in the Frequency DomainWeichao Shen (Beijing Institute of Technology)*; Yuwei WU (Beijing Institute of Technology (BIT), China); Yunde Jia (Beijing Institute of Technology)3D from Single ImageOral2.1.22
113
1456SiCloPe: Silhouette-based Clothed PeopleRyota Natsume (Waseda University); Shunsuke Saito (University of Southern California)*; Zeng Huang (University of Southern California); Weikai Chen (USC Institute for Creative Technology); Chongyang Ma (Kwai Inc.); Shigeo Morishima (Waseda Research Institute for Science and Engineering); Hao Li (Pinscreen/University of Southern California/USC ICT)3D from Single ImageFace, Gesture, and Body PoseOral2.1.23
114
3102Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh DeformationHao Zhu (Nanjing University)*; Xinxin Zuo (University of Kentucky); Sen Wang (Northwestern Polytechnical University); Xun Cao (Nanjing University); Ruigang Yang (University of Kentucky, USA)3D from Single ImageDeep LearningOral2.1.23
115
4841Convolutional Mesh Regression for Single-Image Human Shape ReconstructionNikos Kolotouros (University of Pennsylvania)*; Georgios Pavlakos (University of Pennsylvania); Kostas Daniilidis (University of Pennsylvania)3D from Single ImageFace, Gesture, and Body PoseOral2.1.23
116
2754H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and InteractionsBugra Tekin (Microsoft)*; Federica Bogo (Microsoft); Marc Pollefeys (ETH Zurich / Microsoft)3D from Single ImageFace, Gesture, and Body Pose ; Recognition: Detection, Categorization, RetrievalOral2.1.24
117
3419Learning the Depths of Moving People by Watching Frozen PeopleZhengqi Li (Cornell University)*; Tali Dekel (Google); Forrester Cole (Google Research); Richard Tucker (Google); Ce Liu (Google); Bill Freeman (Google); Noah Snavely (Cornell University and Google AI)3D from Single Image3D from Multiview and Sensors; Deep LearningOral2.1.24
118
3439Extreme Relative Pose Estimation for RGB-D Scans via Scene CompletionZhenpei Yang (The University of Texas at Austin); Kristen Grauman (Facebook AI Research & UT Austin); Qixing Huang (The University of Texas at Austin)*; Linjie Luo (Snap Inc); Xiaowei Zhou (Zhejiang Univ., China); Jeffrey Pan (Austin, Texas)3D from Single Image3D from Multiview and Sensors; Deep Learning ; Optimization Methods; RGBD sensors and analyticsOral2.1.24
119
1943A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB ImagesJiapeng Tang (South China University of Technology); Xiaoguang Han (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen))*; Junyi Pan (South China University of Technology); Kui Jia (South China University of Technology); Xin Tong (Microsoft)3D from Single ImageDeep LearningOral2.1.25
120
3451Structure-And-Motion-Aware Rolling Shutter CorrectionBingbing Zhuang (NUS)*; Quoc-Huy Tran (NEC Labs America); Pan Ji (NEC Labs); Loong Fah Cheong (NUS); Manmohan Chandraker (NEC Labs America)3D from Single Image3D from Multiview and SensorsOral2.1.25
121
3871PVNet: Pixel-wise Voting Network for 6DoF Pose Estimationsida peng (Zhejiang University); Yuan Liu (Zhejiang University); Qixing Huang (The University of Texas at Austin); Hujun Bao (Zhejiang University); Xiaowei Zhou (Zhejiang Univ., China)*3D from Single ImageRobotics + Driving; Scene Analysis and UnderstandingOral2.1.25
122
236Learning Optical Flow with Occlusion HallucinationPengpeng Liu (The Chinese University of Hong Kong)*; Michael Lyu (The Chinese University of Hong Kong); Irwin King (The Chinese University of Hong Kong); Jia Xu (Tencent AI Lab)Motion and TrackingDeep LearningOral2.1.31Motion & Biometrics
123
3963Taking a Deeper Look at the Inverse Compositional AlgorithmZhaoyang Lv (GEORGIA TECH)*; Frank Dellaert (Georgia Tech); James Rehg (Georgia Institute of Technology); Andreas Geiger (MPI-IS and University of Tuebingen)Motion and Tracking3D from Multiview and Sensors; Optimization MethodsOral2.1.31
124
1197Deeper and Wider Siamese Networks for Real-Time Visual TrackingZhipeng Zhang (Chinese Academy of Sciences); Houwen Peng (Microsoft Research)*Motion and TrackingOral2.1.31
125
952High Fidelity Facial Performance Tracking In-the-wildJae Shin Yoon (University of Minnestoa)*; Takaaki Shiratori (Facebook Reality Labs); Shoou-I Yu (Oculus Research Pittsburgh); Hyun Soo Park (The University of Minnesota)Face, Gesture, and Body Pose3D from Single Image; Motion and TrackingOral2.1.32
126
2738Diverse Generation for Multi-agent Sports GamesRaymond A Yeh (UIUC)*; Alexander Schwing (UIUC); Jonathan Huang (Google); Kevin Murphy (Google)Motion and TrackingDeep LearningOral2.1.32
127
3444Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity FieldsYaadhav Raaj (CMU)*; Haroon Idrees (Carnegie Mellon University); Gines Hidalgo Martinez (Carnegie Mellon University); Yaser Sheikh (CMU)Face, Gesture, and Body PoseAction Recognition ; Motion and Tracking; Video AnalyticsOral2.1.32
128
1391GFrames: Gradient-Based Local Reference Frame for 3D Shape MatchingSimone Melzi (University of Verona)*; Riccardo Spezialetti (Universita' degli studi di Bologna); Federico Tombari (Technical University of Munich, Germany); Michael Bronstein (Università della Svizzera Italiana); Luigi Di Stefano (University of Bologna); Emanuele Rodola (Sapienza University of Rome)Motion and Tracking3D from Multiview and Sensors; Low-level Vision; Recognition: Detection, Categorization, Retrieval;Oral2.1.33
129
6191Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object TrackingPascal Fua (EPFL, Switzerland); Andrii Maksai (EPFL)*Motion and TrackingDeep LearningOral2.1.33
130
3119Graph Convolutional TrackingJunyu Gao (National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences)*; Tianzhu Zhang (CAS, China); Changsheng Xu (CASIA)Motion and TrackingOral2.1.33
131
4984ATOM: Accurate Tracking by Overlap MaximizationMartin Danelljan (ETH Zurich)*; Goutam Bhat (ETH Zurich); Fahad Shahbaz Khan (Inception Institute of Artificial Intelligence); Michael Felsberg (Linköping University)Motion and TrackingOral2.1.34
132
1202Visual Tracking via Adaptive Spatially-Regularized Correlation FiltersKenan Dai (Dalian University of Technology); Dong Wang (Dalian University of Technology)*; Huchuan Lu (Dalian University of Technology); Chong Sun (Dalian University of Technology); Jianhua Li (Dalian University of Technology)Motion and TrackingOral2.1.34
133
496Deep Tree Learning for Zero-shot Face Anti-SpoofingYaojie Liu (Michigan State University)*; Joel Stehouwer (Michigan State University); Amin Jourabloo (Michigan State University); Xiaoming Liu (Michigan State University)BiometricsFace, Gesture, and Body PoseOral2.1.34
134
1140ArcFace: Additive Angular Margin Loss for Deep Face RecognitionJiankang Deng (Imperial College London)*; Jia Guo (DeepInsight); Niannan Xue (Imperial College London); Stefanos Zafeiriou (Imperial College Londong)BiometricsFace, Gesture, and Body Pose ; Recognition: Detection, Categorization, RetrievalOral2.1.35
135
1617Learning Joint Unique-Gait and Cross-Gait Representation by Minimizing Quintuplet LossKaihao Zhang (Australian National University)*; Wenhan Luo (Tencent AI Lab); Lin Ma (Tencent AI Lab); Wei Liu (Tencent); HONGDONG LI (Australian National University, Australia)BiometricsOral2.1.35
136
4898Gait Recognition via Disentangled Representation LearningZiyuan Zhang (Michigan State University)*; Luan Tran (Michigan State University); Xi Yin (Microsoft Could & AI); Yousef A Atoum (Yarmouk University); Xiaoming Liu (Michigan State University); Nanxin Wang (Ford Motor Company); Jian Wan (Ford Motor Company)BiometricsFace, Gesture, and Body Pose ; Representation Learning; Vision Applications and SystemsOral2.1.35
137
1462Panoptic Feature Pyramid NetworkAlexander Kirillov (Facebook AI Reserach)*; Kaiming He (Facebook AI Research); Ross Girshick (FAIR); Piotr Dollar (FAIR)Recognition: Detection, Categorization, RetrievalSegmentation, Grouping and ShapeOral2.2.11Recognition
138
2705Mask Scoring R-CNNZhaojin Huang (Huazhong University of Science and Technology); Lichao Huang (Horizon Robotics); Yongchao Gong (Horizon Robotics ); Chang Huang (Horizon Robotics); Xinggang Wang (Huazhong Univ. of Science and Technology)*Recognition: Detection, Categorization, RetrievalOral2.2.11
139
3864Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object DetectionHang Xu (Huawei Noah's Ark Lab); ChenHan Jiang (Sun Yat-sen University); Xiaodan Liang (Sun Yat-sen University)*; Liang Lin (Sun Yat-sen University); Zhenguo Li (Huawei Noah's Ark Lab)Recognition: Detection, Categorization, RetrievalDeep Learning ; Visual ReasoningOral2.2.11
140
1476Cross-Modality Personalization for RetrievalNils Murrugarra-Llerena (University of Pittsburgh)*; Adriana Kovashka (University of Pittsburgh)Recognition: Detection, Categorization, RetrievalDatasets and Evaluation; Vision + LanguageOral2.2.12
141
2623Composing Text and Image for Image Retrieval - An Empirical OdysseyNam Vo (Georgia Institute of Technology)*; Lu Jiang (Google); Chen Sun (Google); Kevin Murphy (Google); Li-Jia Li (Stanford); Li Fei-Fei (Stanford University); James Hays (Georgia Institute of Technology, USA)Recognition: Detection, Categorization, RetrievalDatasets and Evaluation; Representation Learning; Vision + LanguageOral2.2.12
142
3524Arbitrary Shape Scene Text Detection with Adaptive Text Region RepresentationXiaobing Wang (Samsung Research Institute China-Beijing)*; yingying jiang ( Samsung Research China,Beijing); Zhenbo Luo ( Samsung Research Institute China-Beijing); Cheng-lin Liu (Institute of Automation of Chinese Academy of Sciences); Hyunsoo Choi (SAMSUNG ELECTRONICS CO.,LTD); Sungjin Kim (SAMSUNG ELECTRONICS CO.,LTD)Recognition: Detection, Categorization, RetrievalVision Applications and SystemsOral2.2.12
143
2657Adaptive NMS: Refining Pedestrian Detection in a CrowdSongtao Liu (BUAA); Di Huang (Beihang University, China)*; Yunhong Wang (State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing 100191, China)Recognition: Detection, Categorization, RetrievalFace, Gesture, and Body PoseOral2.2.13
144
3517Point in, Box out: Beyond Counting Persons in Crowdsyuting liu (sichuan university)*; Miaojing Shi (Inria Rennes); Qijun Zhao (Sichuan University); Xiaofang Wang (Inria Rennes)Recognition: Detection, Categorization, RetrievalOral2.2.13
145
6264Locating Objects Without Bounding BoxesJavier Ribera (Purdue University)*; David Güera (Purdue University); Yuhao Chen (Purdue University); Edward Delp (Purdue University)Recognition: Detection, Categorization, RetrievalOral2.2.13
146
3333FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and DiscoveryKrishna Kumar Singh (University of California Davis)*; Utkarsh Ojha (University of California, Davis); Yong Jae Lee (University of California, Davis)Recognition: Detection, Categorization, RetrievalImage and Video SynthesisOral2.2.14
147
3505Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised ClassificationSi Wu (South China University of Technology)*; Jichang Li (South China University of Technology); Cheng Liu (City University of Hong Kong); Zhiwen Yu (South China University of Technology); Hau San Wong (City University of Hong Kong)Recognition: Detection, Categorization, RetrievalDeep LearningOral2.2.14
148
4012Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated ObjectsYusuke Niitani (Preferred Networks, Inc.)*; Takuya Akiba (Preferred Networks, Inc.); Tommi Kerola (Preferred Networks, Inc.); Toru Ogawa (Preferred Networks, Inc.); Shotaro Sano (Preferred Networks, Inc.); Shuji Suzuki (Preferred Networks, Inc.)Recognition: Detection, Categorization, RetrievalDeep LearningOral2.2.14
149
4099Curls & Whey: Boosting Black-Box Adversarial AttacksYucheng Shi (Tianjin University); Siyu Wang (Tianjin University); Yahong Han (Tianjin University)*Recognition: Detection, Categorization, RetrievalVision Applications and SystemsOral2.2.15
150
5988Barrage of Random Transforms for Adversarially Robust DefenseEdward Raff (Booz Allen Hamilton)*; Jared Sylvester (Booz Allen Hamilton); Steven Forsyth (Nvidia); Mark McLean (Laboratory for Physical Sciences)Recognition: Detection, Categorization, RetrievalBig Data, Large Scale Methods ; Deep LearningOral2.2.15
151
4648Aggregation Cross-Entropy for Sequence RecognitionZecheng Xie (South China University of Technology); Yaoxiong Huang (South China University of Technology); Yuanzhi Zhu (South China University of Technology); Lianwen Jin (South China University of Technology)*; Yuliang Liu (South China University of Technology); Lele Xie (South China University of Technology)Recognition: Detection, Categorization, RetrievalDeep Learning ; Document Analysis ; Statistical Learning; Vision Applications and SystemsOral2.2.15
152
4674LaSO: Label-Set Operations networks for multi-label few-shot learningAmit Alfassy (IBM-Research); Leonid Karlinsky (IBM-Research)*; Amit Aides (IBM); Joseph Shtok (IBM-Reseach); Sivan Harary (IBM-Research); Rogerio Feris (IBM Research AI, MIT-IBM Watson AI Lab); Raja Giryes (Tel Aviv University); Alex Bronstein (Technion)Recognition: Detection, Categorization, RetrievalDeep LearningOral2.2.16
153
5352Few-Shot Learning with Localization in Realistic SettingsDavis Wertheimer (Cornell)*; Bharath Hariharan (Cornell University)Recognition: Detection, Categorization, RetrievalDeep Learning ; Segmentation, Grouping and ShapeOral2.2.16
154
5575AdaGraph: Unifying Predictive and Continuous Domain Adaptation through GraphsMassimiliano Mancini (Sapienza University of Rome)*; Samuel Rota Bulò (Mapillary Research); Barbara Caputo (IIT); Elisa Ricci (FBK - Technologies of Vision)Recognition: Detection, Categorization, RetrievalDeep LearningOral2.2.16
155
12Grounded Video DescriptionLuowei Zhou (University of Michigan)*; Yannis Kalantidis (Facebook Research); Xinlei Chen (Facebook AI Research); Jason J Corso (University of Michigan); Marcus Rohrbach (Facebook AI Research)Vision + LanguageOral2.2.21Language & Reasoning
156
3566Streamlined Dense Video CaptioningJonghwan Mun (POSTECH)*; Linjie Yang (ByteDance AI Lab); Zhou Ren (Snap Inc.); Ning Xu (Snap); Bohyung Han (Seoul National University)Vision + LanguageDeep Learning ; Video AnalyticsOral2.2.21
157
5612Adversarial Inference for Multi-Sentence Video DescriptionJae Sung Park (UC Berkeley); Marcus Rohrbach (Facebook AI Research); Trevor Darrell (UC Berkeley); Anna Rohrbach (UC Berkeley)*Vision + LanguageOral2.2.21
158
4705Unified Visual-Semantic Emebddings: Bridging Vision and Language with Structured Meaning RepresentationsHao Wu (Fudan University)*; Jiayuan Mao (Tsinghua University); Yufeng Zhang (Fudan University); Weiwei Sun (" Fudan University, China"); Yuning Jiang (Bytedance); Lei Li (ByteDance AI Lab); Weiying Ma (Bytedance)Vision + LanguageRepresentation LearningOral2.2.22
159
3640Learning to Compose Dynamic Tree Structures for Visual ContextsKaihua Tang (Nanyang Technological University)*; Hanwang Zhang (Nanyang Technological University); Baoyuan Wu (Tencent AI Lab); Wenhan Luo (Tencent AI Lab); Wei Liu (Tencent)Vision + LanguageScene Analysis and Understanding; Visual ReasoningOral2.2.22
160
5104Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language NavigationXin Wang (University of California, Santa Barbara)*; Qiuyuan Huang (Microsoft Research AI); Asli Celikyilmaz (Microsoft Research AI); Jianfeng Gao (Microsoft Research); Dinghan Shen (Duke University); Yuan-Fang Wang (UC Santa Barbara); William Yang Wang (UC Santa Barbara); Lei Zhang (Microsoft Research)Vision + LanguageRobotics + Driving; Vision Applications and Systems; Visual ReasoningOral2.2.22
161
1824Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual Question Answeringgao peng (Chinese university of hong kong)*; Hongsheng Li (Chinese University of Hong Kong); Haoxuan You (Tsinghua University); Zhengkai Jiang (Institute of Automation,Chinese Academy of Sciences); Pan Lu (Tsinghua University); Steven Hoi (SMU); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong)Vision + LanguageVision Applications and Systems; Visual ReasoningOral2.2.23
162
3454Cycle-Consistency for Robust Visual Question AnsweringMeet Shah (Facebook AI Research)*; Xinlei Chen (Facebook AI Research); Marcus Rohrbach (Facebook AI Research); Devi Parikh (Georgia Tech & Facebook AI Research)Vision + LanguageOral2.2.23
163
135Embodied Question Answering in Photorealistic Environments with Point Cloud PerceptionErik Wijmans (Georgia Tech)*; Samyak Datta (Georgia Tech); Oleksandr Maksymets (Facebook AI Research); Abhishek Das (Georgia Tech); Georgia Gkioxari (Facebook); Stefan Lee (Georgia Institute of Technology); Irfan Essa (Georgia Institute of Technology); Dhruv Batra (Georgia Tech & Facebook AI Research); Devi Parikh (Georgia Tech & Facebook AI Research)Vision + LanguageOral2.2.23
164
3909Reasoning Visual Dialogs with Structural and Partial ObservationsZilong Zheng (UCLA); Wenguan Wang (Inception Institute of Artificial Intelligence)*; Siyuan Qi (UCLA); Song-Chun Zhu (UCLA)Vision + LanguageOral2.2.24
165
3129Recursive Visual Attention in Visual DialogYulei Niu (Renmin University of China); Manli Zhang (Renmin University of China); Jianhong Zhang (Renmin University of China); Zhiwu Lu (Renmin University of China)*; Ji-Rong Wen (Renmin University of China); Hanwang Zhang (Nanyang Technological University)Vision + LanguageVisual ReasoningOral2.2.24
166
3820Two Body Problem: Collaborative Visual Task CompletionUnnat Jain (UIUC)*; Luca Weihs (Allen Institute for Artificial Intelligence); Eric Kolve (Allen AI); Mohammad Rastegari (Allen Institute for Artificial Intelligence); Svetlana Lazebnik (UIUC); Ali Farhadi (University of Washington, Allen Institute for Artificial Intelligence); Alexander Schwing (UIUC); Aniruddha Kembhavi (Allen Institute for Artificial Intelligence)Visual ReasoningRecognition: Detection, Categorization, Retrieval; Scene Analysis and UnderstandingOral2.2.24
167
7021GQA: a new dataset for compositional question answering over real-world imagesDrew A Hudson (Stanford University)*; Chris Manning (Stanford)Visual ReasoningDatasets and Evaluation; Deep Learning ; Scene Analysis and Understanding; Vision + LanguageOral2.2.25
168
1530Text2Scene: Generating Compositional Scenes from Textual DescriptionsFuwen Tan (University of Virginia)*; Song Feng (IBM Research); Vicente Ordonez (University of Virginia)Vision + LanguageImage and Video SynthesisOral2.2.25
169
5126From Recognition to Cognition: Visual Commonsense ReasoningRowan Zellers (University of Washington)*; Yonatan Bisk (University of Washington); Ali Farhadi (University of Washington, Allen Institute for Artificial Intelligence); Yejin Choi (University of Washington)Vision + LanguageRecognition: Detection, Categorization, Retrieval; Scene Analysis and Understanding; Visual ReasoninOral2.2.25
170
3587The Regretful Agent: Heuristic-Aided Navigation through Progress EstimationChih-Yao Ma (Georgia Institute of Technology)*; Zuxuan Wu (UMD); Ghassan AlRegib (Georgia Institute of Technology �); Caiming Xiong (Salesforce Research); Zsolt Kira (Georgia Institute of Technology)Vision + LanguageVisual ReasoningOral2.2.26
171
6287Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language NavigationLiyiming Ke (University of Washington); Xiujun Li (Microsoft Research)*; Yonatan Bisk (University of Washington); Ari Holtzman (University of Washington); Zhe Gan (Microsoft); Jingjing Liu (Microsoft); Jianfeng Gao (Microsoft Research); Yejin Choi (University of Washington); Siddhartha Srinivasa (University of Washington)Vision + LanguageRobotics + DrivingOral2.2.26
172
1770Learning to Learn How to Learn: Self-Adaptive Visual Navigation using Meta-LearningMitchell N Wortsman (Allen Institute for Artificial Intelligence); Kiana Ehsani (University of Washington); Mohammad Rastegari (Allen Institute for Artificial Intelligence); Ali Farhadi (University of Washington, Allen Institute for Artificial Intelligence); Roozbeh Mottaghi (Allen Institute for AI)*Visual ReasoningScene Analysis and Understanding; Statistical LearningOral2.2.26
173
1064From One Photon to a Billion: High Flux Imaging with Single-Photon SensorsAtul N Ingle (University of Wisconsin-Madison)*; Andreas Velten (University of Wisconsin - Madison); Mohit Gupta ("University of Wisconsin-Madison, USA ")Computational PhotographyPhysics-based Vision and Shape-from-XOral2.2.31Comp. Photography & Graphics
174
1624Photon-Flooded Single-Photon 3D CamerasAnant Gupta (University of Wisconsin Madison)*; Atul N Ingle (University of Wisconsin-Madison); Andreas Velten (University of Wisconsin - Madison); Mohit Gupta ("University of Wisconsin-Madison, USA ")Computational PhotographyPhysics-based Vision and Shape-from-XOral2.2.31
175
2059Acoustic Non-Line-of-Sight ImagingDavid Lindell (Stanford University)*; Gordon Wetzstein (Stanford University); Vladlen Koltun (Intel Labs)Computational PhotographyOral2.2.31
176
3310Steady-state Non-Line-of-Sight ImagingWenzheng Chen (University of Toronto); Simon Daneau (Algolux)*; Colin Brosseau (Algolux); Felix Heide (Princeton University)Computational PhotographyLow-level Vision; Physics-based Vision and Shape-from-XOral2.2.32
177
2427A Theory of Fermat Paths for Non-Line-of-Sight Shape ReconstructionShumian Xin (Carnegie Mellon University); Sotiris Nousias (University College London); Kyros Kutulakos (University of Toronto); Aswin Sankaranarayanan (Carnegie Mellon University); Srinivasa G Narasimhan (Carnegie Mellon University); Ioannis Gkioulekas (Carnegie Mellon University)*Computational PhotographyPhysics-based Vision and Shape-from-XOral2.2.32
178
474End-to-end Projector Photometric CompensationBingyao Huang (Temple University)*; Haibin Ling (Temple University)Vision + GraphicsComputational Photography; Deep Learning ; OthersOral2.2.32
179
2605Bringing a Blurry Frame Alive at High Frame-Rate with an Event CameraLiyuan Pan (The Australian National University)*; cedric scheerlinck (The Australian National University); RICHARD HARTLEY (Australian National University, Australia); Miaomiao Liu (The Australian National University); Yuchao Dai (Northwestern Polytechnical University); Xin Yu (Australian National University)Computational PhotographyImage and Video Synthesis; Vision Applications and SystemsOral2.2.33
180
5932Bringing Alive Blurred Moments!Kuldeep Purohit (Indian Institute of Technology Madras)*; Anshul Shah (University of Maryland, College Park); Rajagopalan N Ambasamudram (Indian Institute of Technology Madras)Computational PhotographyLow-level VisionOral2.2.33
181
1607Learning to Synthesize Motion BlurTim Brooks (Google)*; Jonathan T Barron (Google Research)Computational PhotographyDeep Learning ; Image and Video Synthesis; Motion and Tracking; Vision + GraphicsOral2.2.33
182
2861Underexposed Photo Enhancement using Deep Illumination EstimationRuixing Wang (The Chinese University of Hong Kong); Qing Zhang ( Sun Yat-sen University); Chi-Wing Fu (The Chinese University of Hong Kong); Xiaoyong Shen (Tencent); WEI-SHI ZHENG (Sun Yat-sen University, China)*; Jiaya Jia (Chinese University of Hong Kong)Computational PhotographyDeep Learning ; Low-level VisionOral2.2.34
183
2843Blind Visual Motif Removal from a Single ImageAmir Hertz (Tel Aviv University)*; Sharon Fogel (Tel-Aviv university); Rana Hanocka (TAU); Raja Giryes (Tel Aviv University); Danny Cohen-Or (Tel Aviv University)Vision + GraphicsDeep LearningOral2.2.34
184
6541Non-local Meets Global: An Integrated Paradigm for Hyperspectral DenoisingWei He (RIKEN AIP)*; Quanming Yao (4Paradigm); Chao Li (RIKEN); Naoto Yokoya (RIKEN Center for Advanced Intelligence Project (AIP)); Qibin Zhao (RIKEN)Low-level VisionVision + GraphicsOral2.2.34
185
4943Total Scene Capture: Neural Rerendering in the WildMoustafa Meshry (University of Maryland)*; Ricardo Martin-Brualla (Google); Noah Snavely (Cornell University and Google AI); Hugues Hoppe (Google Inc.); Sameh Khamis (Google); Rohit Pandey (Google); Dan B Goldman (Google, Inc.)Vision + Graphics3D from Multiview and Sensors; Image and Video SynthesisOral2.2.35
186
430GeoNet: Deep Geodesic Networks for Point Cloud AnalysisTong He (UCLA)*; Haibin Huang (Face++ (Megvii)); Li Yi (Stanford); Yuqian Zhou (UIUC); QIHAO WU (Face++ (Megvii)); jue wang (Face++ (Megvii)); Stefano Soatto (UCLA)Vision + GraphicsDeep Learning ; Representation Learning; Segmentation, Grouping and ShapeOral2.2.35
187
2440MeshAdv: Adversarial Meshes for Visual RecognitionCHAOWEI XIAO (University of Michigan, Ann Arbor); Dawei Yang (University of Michigan, Ann Arbor)*; Bo Li (University of Illinois at Urbana–Champaign); Jia Deng (Princeton University); mingyan liu (university of Michigan, Ann Arbor)Vision + GraphicsDeep LearningOral2.2.35
188
4701Fast Spatially-Varying Indoor Lighting EstimationMathieu Garon (Université Laval); Kalyan Sunkavalli (Adobe Research); Nathan Carr (Adobe); Sunil Hadap (Adobe); Jean-Francois Lalonde (Université Laval)*Vision + GraphicsComputational Photography; Deep LearningOral2.2.36
189
1188Neural Illumination: Lighting Prediction for Indoor EnvironmentsShuran Song (Princeton)*; Thomas Funkhouser (Princeton University and Google, Inc.)Vision + Graphics3D from Single Image; Scene Analysis and UnderstandingOral2.2.36
190
4363Deep Sky Modeling for Single Image Outdoor Lighting EstimationYannick Hold-Geoffroy (Adobe Research)*; Akshaya Athwale (Indian Institute of Technology Dhanbad); Jean-Francois Lalonde (Université Laval)Vision + GraphicsComputational Photography; Deep Learning ; Scene Analysis and UnderstandingOral2.2.36
191
2180Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label OntologyKe Yan (National Institutes of Health)*; Yifan Peng (NIH); Veit Sanfort (NIH); Mohammadhadi Bagheri (National Institutes of Health); Zhiyong Lu (NLM/NCBI/NIH); Ronald Summers (National Institutes of Health, Bethesda, Maryland, United States)Medical, Biological and Cell MicroscopyDatasets and Evaluation; Deep Learning ; Recognition: Detection, Categorization, Retrieval; RepresenOral3.1.11Applications
192
4246Robust Histopathology Image Analysis: to Label or to Synthesize?Le Hou (Stony Brook University)*; Ayush Agarwal (Stanford University); Dimitris Samaras (Stony Brook University); Tahsin Kurc (Stony Brook University); Rajarsi Gupta (Stony Brook University); Joel Saltz (Stony Brook University)Medical, Biological and Cell MicroscopySegmentation, Grouping and Shape; Vision Applications and SystemsOral3.1.11
193
6477Data augmentation with spatial and appearance transforms for one-shot medical image segmentationAmy Zhao (MIT)*; Guha Balakrishnan (MIT); Fredo Durand (MIT); John Guttag (MIT); Adrian V Dalca (MIT)Medical, Biological and Cell MicroscopyImage and Video SynthesisOral3.1.11
194
1853Shifting More Attention to Video Salient Object DetectionDeng-Ping Fan (Nankai University); Wenguan Wang (Inception Institute of Artificial Intelligence); Ming-Ming Cheng (Nankai University)*; Jianbing Shen (Beijing Institute of Technology)Vision Applications and SystemsLow-level VisionOral3.1.12
195
864Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video DemonstrationDe-An Huang (Stanford University)*; Suraj Nair (Stanford University); Danfei Xu (Stanford University); Yuke Zhu (Stanford University); Animesh Garg (Stanford University); Li Fei-Fei (Stanford University); Silvio Savarese (Stanford University); Juan Carlos Niebles (Stanford University)Robotics + DrivingVisual ReasoningOral3.1.12
196
1296Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual OdometryFei Xue (Peking University)*; Xin Wang (Peking University); Shunkai Li (Peking University); Qiuyuan Wang (Peking University); Junqiu Wang (Beijing Changcheng Aviation Measurement and Control Institute); Hongbin Zha (Peking University, China)Robotics + DrivingDeep Learning ; Motion and TrackingOral3.1.12
197
3139Image Generation from LayoutBo Zhao (University of British Columbia)*; Lili Meng (University of British Columbia); Weidong Yin (University of British Columbia); Leonid Sigal (University of British Columbia)Vision Applications and SystemsVision + GraphicsOral3.1.13
198
4603Multimodal Explanations by Predicting Counterfactuality in VideosAtsushi Kanehira (The University of Tokyo)*; Kentaro Takemoto (University of Tokyo); Sho Inayoshi (The University of Tokyo); Tatsuya Harada (The University of Tokyo)Vision Applications and SystemsVideo Analytics; Vision + LanguageOral3.1.13
199
4606Learning to Explain with Complemental ExamplesAtsushi Kanehira (The University of Tokyo)*; Tatsuya Harada (The University of Tokyo)Vision Applications and SystemsVision + LanguageOral3.1.13
200
3441HAQ: Hardware-Aware Automated QuantizationKuan Wang (MIT); Zhijian Liu (MIT); Yujun Lin (MIT); Ji Lin (MIT); Song Han (MIT)*Vision Applications and SystemsDeep LearningOral3.1.14
201
4965Content Authentication for Neural Imaging Pipelines: End-to-end Optimization of Photo Provenance in Complex Distribution ChannelsPawel Korus (New York University)*; Nasir Memon (New York University)Vision Applications and SystemsLow-level VisionOral3.1.14
202
5712Inverse Procedural Modeling of KnitwearElena Trunz (University of Bonn)*; Sebastian Merzbach (University of Bonn); Jonathan Klein (University of Bonn); Thomas Schulze (University of Bonn); Michael Weinmann (University of Bonn); Reinhard Klein (University of Bonn)Vision Applications and SystemsOral3.1.14