Monday 9th September

12:00 — 13:15   Registration

13:15 — 13:30   Welcome

13:30 — 15:30   Tutorial Sir Martin Evans Building

Computational Face Analysis
Prof. Michel Valstar (University of Nottingham)

15:30 — 16:15   Tea Break SU, Great Hall

16:15 — 18:15   Tutorial Sir Martin Evans Building

Robust Visual Search and Matching
Prof. John Collomosse (University of Surrey) and Prof. Ondrej Chum (Czech Technical University in Prague)

19:00 — 20:45   Reception Viriamu Jones Gallery


Tuesday 10th September

08:00 — 08:45   Registration

08:45 — 09:00   Welcome

09:00 — 10:00   Keynote Sir Martin Evans Building

4D Vision in the Wild
Prof. Adrian Hilton (University of Surrey)

10:00 — 11:00   Spotlights (Session 1) Sir Martin Evans Building

1. Adversarial View-Consistent Learning for Monocular Depth Estimation
Yixuan Liu (Tsinghua University); Yuwang Wang (Microsoft Research); Shengjin Wang (Tsinghua University)

2. Joint Spatial and Layer Attention for Convolutional Networks
Tony Joseph (University of Ontario Institute of Technology); Konstantinos Derpanis (Ryerson University); Faisal Qureshi (University of Ontario Institute of Technology, Canada)

3. A Less Biased Evaluation of Out-of-distribution Sample Detectors
Alireza Shafaei (The University of British Columbia); Mark Schmidt (University of British Columbia); Jim Little (University of British Columbia, Canada)

4. Unmasking the Devil in the Details:What Works for Deep Facial Action Coding?
Koichiro Niinuma (FUJITSU LABORATORIES OF AMERICA, INC.); Laszlo Jeni (Carnegie Mellon University); Jeffrey Cohn (University of Pittsburgh); Itir Onal Ertugrul (Carnegie Mellon University)

5. Multi-Weight Partial Domain Adaptation
Jian Hu (Shanghai Jiaotong University); Hongya Tuo (Shanghai Jiaotong University); Chao Wang (Shanghai Jiao Tong University); Lingfeng Qiao (Shanhai Jiaotong University); Haowen Zhong (Shanghai Jiaotong University); Zhongliang Jing (Shanghai Jiaotong University)

6. Text Recognition using local correlation
yujia Li (Institute of Information Engineering,Chinese Academy of Sciences); Hongchao Gao ( Institute of Information Engineering,Chinese Academy of Sciences); Xi Wang (IIE); Jizhong Han (Institute of Information Engineering,Chinese Academy of Sciences); Ruixuan Li (Huazhong University of Science and Technology)

7. DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM
Ryo Hachiuma (Keio University); Christian Pirchheim (Graz University of Technology); Dieter Schmalstieg (Graz University of Technology); Hideo Saito (Keio University)

8. Bilinear Siamese Networks with Background Suppression for Visual Object Tracking
Hankyeol Lee (KAIST); Seokeon Choi (KAIST); Youngeun Kim (KAIST); Changick Kim (KAIST)

9. Adversarial Examples for Handcrafted Features
Muhammad Latif Anjum (NUST); Zohaib Ali (NUST); Wajahat Hussain (NUST – SEECS)

10. One-shot Face Reenactment
Cheng Li (SenseTime Research); Yunxuan Zhang (sensetime research); YUE HE (sensetime); Siwei Zhang (Sensetime Research); Ziwei Liu (The Chinese University of Hong Kong); Chen Change Loy (Nanyang Technological University)

11. Learning to Focus and Track Extreme Climate Events
Sookyung Kim (Lawrence Livermore National Laboratory); Sunghyun Park (Korea University); Sunghyo Chung (Korea University); Joonseok Lee (Google Research); Yunsung Lee (Korea University); Hyojin Kim (LLNL); Mr Prabhat (Lawrence Berkeley National Laboratory); Jaegul Choo (Korea University)

12. Revisiting Residual Networks with Nonlinear Shortcuts
Chaoning Zhang (KAIST); Francois Rameau (KAIST); Jean-Charles Bazin (KAIST); Dawit Mureja Argaw (KAIST); Philipp Benz (KAIST); Seokju Lee (Korea Advanced Institute of Science and Technology (KAIST)); Junsik Kim (Korea Advanced Institute of Science and Technology (KAIST)); In So Kweon (KAIST)

13. Unified 2D and 3D Hand Pose Estimation from a Single Visible or X-ray Image
Akila Pemasiri (Queensland University of Technology (QUT)); Kien Nguyen Thanh (Queensland University of Technology); Sridha Sridharan (QUT); Clinton Fookes (Queensland University of Technology)

14. Perspective-n-Learned-Point: Pose Estimation from Relative Depth
Nathan Piasco (Univ. Bourgogne Franche-Comté ); Désiré Sidibé (Université de Bourgogne); Cedric Demonceaux (Univ. Bourgogne Franche-Comte, France); Valérie Gouet-Brunet (LASTIG/IGN)

15. Joint Multi-view Texture Super-resolution and Intrinsic Decomposition
Wei Dong (Carnegie Mellon University); Vagia Tsiminaki (ETH Zurich); Martin R. Oswald (ETH Zurich); Marc Pollefeys (ETH Zurich / Microsoft)

16. Class-Distinct and Class-Mutual Image Generation with GANs
Takuhiro Kaneko (The University of Tokyo); Yoshitaka Ushiku (The University of Tokyo); Tatsuya Harada (The University of Tokyo / RIKEN)

11:00 — 11:45   Tea Break SU, Great Hall

11:45 — 13:15   Oral Presentations: Deep Learning for Vision (Session 1) Sir Martin Evans Building

17. Guided Zoom: Questioning Network Evidence for Fine-grained Classification
Sarah Bargal (Boston University); Andrea Zunino (Istituto Italiano di Tecnologia); Vitali Petsiuk (Boston University); Jianming Zhang (Adobe Research); Kate Saenko (Boston University); Vittorio Murino (Istituto Italiano di Tecnologia); Stan Sclaroff (Boston University)

18. Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters
Federico Landi (University of Modena and Reggio Emilia); Lorenzo Baraldi (University of Modena and Reggio Emilia); Massimiliano Corsini (University of Modena and Reggio Emilia); Rita Cucchiara (Universita Di Modena E Reggio Emilia)

19. Accurate and Compact Convolutional Neural Networks with Trained Binarization
Zhe Xu (City University of Hong Kong); Ray Cheung (City University of Hong Kong)

20. Show, Infer and Tell: Contextual Inference for Creative Captioning
Ankit Khare (University of Texas at Arlington ); Manfred Huber (University of Texas at Arlington )

21. Push for Quantization: Deep Fisher Hashing
Yunqiang Li (Delft University of Technology); Wenjie Pei (Tencent); yufei zha (Air Force Engineering University); Jan van Gemert (Delft University of Technology)

22. RecNets: Channel-wise Recurrent Convolutional Neural Networks
George Retsinas (National Technical University of Athens); Athena Elafrou (National Technical University of Athens); Georgios Goumas ( National Technical University of Athens); Petros Maragos (National Technical University of Athens)

13:15 — 14:00   Lunch SU, Great Hall

14:00 — 16:15   Posters (Session 1) Sir Martin Evans Building
[Toggle Poster List]

23. Adversarial View-Consistent Learning for Monocular Depth Estimation
Yixuan Liu (Tsinghua University); Yuwang Wang (Microsoft Research); Shengjin Wang (Tsinghua University)

24. Guided Zoom: Questioning Network Evidence for Fine-grained Classification
Sarah Bargal (Boston University); Andrea Zunino (Istituto Italiano di Tecnologia); Vitali Petsiuk (Boston University); Jianming Zhang (Adobe Research); Kate Saenko (Boston University); Vittorio Murino (Istituto Italiano di Tecnologia); Stan Sclaroff (Boston University)

25. Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects
Yang Xiao (École des ponts ParisTech); xuchong qiu (Ecole des Ponts ParisTech); Pierre-Alain Langlois (Ecole des Ponts ParisTech); Mathieu Aubry (École des ponts ParisTech); Renaud Marlet (Ecole des Ponts ParisTech)

26. XNOR-Net++: Improved binary neural networks
Adrian Bulat (Samsung AI Center, Cambridge); Georgios Tzimiropoulos (Samsung AI Centre, Cambridge)

27. Few-Shot Viewpoint Estimation
Hung-Yu Tseng (University of California, Merced); Shalini De Mello (NVIDIA Research); Jonathan Tremblay (Nvidia); Sifei Liu (NVIDIA); Stan Birchfield (Clemson University); Ming-Hsuan Yang (University of California at Merced); Jan Kautz (NVIDIA)

28. Two-stage Image Classification Supervised by a Single Teacher Single Student Model
Jianhang Zhou (University of Macau); Shaoning Zeng (University of Macau, Huizhou University); Bob Zhang (Univerisity of Macau)

29. Physical Cue based Depth-Sensing by Color Coding with Deaberration Network
Nao Mishima (Toshiba Research and Development Center); Tatsuo Kozakaya (Toshiba); Akihisa Moriya (Toshiba); Ryuzo Okdata (Toshiba); Shinsaku Hiura (University of Hyogo)

30. Differentiable Fixed-Rank Regularisation using Bilinear Parameterisation
Marcus Valtonen Örnhag (Lund University); Carl Olsson (Lund University, Sweden); Anders Heyden (LTH)

31. Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations
Iuliia Kotseruba (York University); Calden Wloka (York University); Amir Rasouli (York University); John Tsotsos (York University)

32. Curriculum based Dropout Discriminator for Domain Adaptation
Vinod Kurmi (IIT Kanpur); Vipul Bajaj (IIT Kanpur); Vinay Namboodiri (IIT Kanpur); K. S. Venkatesh (IIT Kanpur)

33. Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
Ali Cheraghian (Australian National University (ANU)); Shafin Rahman (Australian National University); Dylan Campbell (Australian National University); Lars Petersson (Data61/CSIRO)

34. MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
HAMID VAEZI JOZE (Microsoft); Oscar Koller (Microsoft)

35. Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimation
Jiahao Lin (National University of Singapore); Gim Hee Lee (National University of Singapore)

36. Joint Spatial and Layer Attention for Convolutional Networks
Tony Joseph (University of Ontario Institute of Technology); Konstantinos Derpanis (Ryerson University); Faisal Qureshi (University of Ontario Institute of Technology, Canada)

37. Video Upright Adjustment and Stabilization
Jucheol Won (DGIST); Sunghyun Cho (POSTECH)

38. BIRD: Learning Binary and Illumination Robust Descriptor for Face Recognition
Zhuo Su (the University of Oulu); Matti Pietikäinen (University of Oulu); Li Liu (University of Oulu)

39. Pixel-Wise Confidences for Stereo Disparities Using Recurrent Neural Networks
Muhammad Shahzeb Khan Gul (Fraunhofer IIS); Michel Bätz (Fraunhofer IIS); Joachim Keinert (Fraunhofer IIS)

40. Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
Yuxiao Chen (Rutgers University); Long Zhao (Rutgers University); Xi Peng (University of Delaware); Jianbo Yuan (University of Rochester); Dimitris Metaxas (Rutgers)

41. Directed-Weighting Group Lasso For Eltwise Blocked CNN Pruning
Ke Zhan (Beijing University Of Technology); Shimiao Jiang (Alibaba, Inc.); yu bai (JD.com, Inc.); yi li (JD.com, Inc)

42. A General Transductive Regularizer for Zero-Shot Learning
Huaqi Mao (Nanjing University of Science and Technology); Haofeng Zhang (Nanjing University of Science and Technology); Shidong Wang (University of East Anglia); Yang Long (Newcastle University); Longzhi Yang (Northumbria)

43. Annealed Label Transfer for Face Expression Recognition
Corneliu Florea (University Politehnica of Bucharest); Laura Florea (University Politehnica Bucharest); Mihai Badea (Image Processing and Analysis Laboratory, University Politehnica of Bucharest); Constantin Vertan (University Politehnica of Bucarest); Andrei Racoviteanu (University Politehnica of Bucharest)

44. FlickerNet: Adaptive 3D Gesture Recognition from Sparse Point Clouds
Yuecong Min (Institute of Computing Technology, Chinese Academy of Sciences); Xiujuan Chai (Agricultural Information Institute, Chinese); Lei Zhao (HUAWEI Technologies CO. , LTD. ); Xilin Chen (Institute of Computing Technology, Chinese Academy of Sciences)

45. Optimising 3D-CNN Design towards Human Pose Estimation on Low Power Devices
Manolis Vasileiadis (Imperial College London); Christos-Savvas Bouganis (Imperial College London); Georgios Stavropoulos (Centre for Research and Technology, Hellas, Information Technologies Institute); Dimitrios Tzovaras (Centre for Research and Technology Hellas)

46. Pan-tilt-zoom SLAM for Sports Videos
Jikai Lu (Zhejiang University); Jianhui Chen (University of British Columbia); Jim Little (University of British Columbia, Canada)

47. A Less Biased Evaluation of Out-of-distribution Sample Detectors
Alireza Shafaei (The University of British Columbia); Mark Schmidt (University of British Columbia); Jim Little (University of British Columbia, Canada)

48. Camera Style and Identity Disentangling Network for Person Re-identification
Ruochen Zheng (Huazhong University of Science and Technology); Lerenhan Li (Huazhong University of Science and Technology); Chuchu Han (HUST); Changxin Gao (Huazhong University of Science and Technology); Nong Sang (School of Automation, Huazhong University of Science and Technology)

49. Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier
Siyuan Liu (Carnegie Mellon University); Xuefeng Du (Xi’an Jiaotong University); Rong Xi (Carnegie Mellon University); Fuya Xu (Carnegie Mellon University); Xiangrui Zeng (Carnegie Mellon University); Bo Zhou (Carnegie Mellon University); Min Xu (Carnegie Mellon University)

50. Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
Jaehoon Choi (KAIST); Minki Jeong (KAIST); Taekyung Kim (KAIST); Changick Kim (KAIST)

51. Pose-Aware Face Alignment based on CNN and 3DMM
Songjiang Li (Peking University); Honggai Li (Peking University); Jinshi Cui (Peking University, China); Hongbin Zha (Peking University, China)

52. BioFaceNet: Deep Biophysical Face Image Interpretation
Sarah Alotaibi (University of York); William Smith (University of York)

53. Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters
Federico Landi (University of Modena and Reggio Emilia); Lorenzo Baraldi (University of Modena and Reggio Emilia); Massimiliano Corsini (University of Modena and Reggio Emilia); Rita Cucchiara (Universita Di Modena E Reggio Emilia)

54. Unmasking the Devil in the Details:What Works for Deep Facial Action Coding?
Koichiro Niinuma (FUJITSU LABORATORIES OF AMERICA, INC.); Laszlo Jeni (Carnegie Mellon University); Jeffrey Cohn (University of Pittsburgh); Itir Onal Ertugrul (Carnegie Mellon University)

55. Multi-Weight Partial Domain Adaptation
Jian Hu (Shanghai Jiaotong University); Hongya Tuo (Shanghai Jiaotong University); Chao Wang (Shanghai Jiao Tong University); Lingfeng Qiao (Shanhai Jiaotong University); Haowen Zhong (Shanghai Jiaotong University); Zhongliang Jing (Shanghai Jiaotong University)

56. TAGAN: Tonality Aligned GenerativeAdversarial Networks for Realistic HandPose Synthesis
Liangjian Chen (University of California, Irvine); Shih-Yao Lin (Tencent Medical AI Lab); Yusheng Xie (Tencent Medical AI Lab); Hui Tang (Tecent Medical AI Lab); Yufan Xue (workday); Yen-Yu Lin (Academia Sinica); Xiaohui Xie (University of California, Irvine); Wei Fan (Tencent)

57. Large scale joint semantic re-localisation and scene understanding via globally unique instance coordinate regression
Ignas Budvytis (Department of Engineering, University of Cambridge); Marvin Teichmann (Machine Intelligence Laboratory, Cambridge University Department of Engineering); Tomas Vojir (University of Cambridge); Roberto Cipolla (University of Cambridge)

58. Semantically-Aware Attentive Neural Embeddings for 2D Long-Term Visual Localization
Zachary Seymour (SRI International); Karan Sikka (SRI International); Han-Pang Chiu (SRI International); Supun Samarasekera (SRI International); Rakesh Kumar (SRI International)

59. An Evaluation of Feature Matchers for Fundamental Matrix Estimation
JiaWang Bian (The University of Adelaide); Yu-Huan Wu (Nankai University); Ji Zhao (TuSimple); Yun Liu (Nankai University); Le Zhang (Institute for Infocomm Research,Agency for Science, Technology and Research (ASTAR)); Ming-Ming Cheng (Nankai University); Ian Reid (“University of Adelaide, Australia”)

60. Video Stitching for Linear Camera Arrays
Wei-Sheng Lai (University of California, Merced); Orazio Gallo (NVIDIA Research); Jinwei Gu (NVIDIA); Deqing Sun (Google); Ming-Hsuan Yang (University of California at Merced); Jan Kautz (NVIDIA)

61. EPNAS: Efficient Progressive Neural Architecture Search
Yanqi Zhou (Google); Peng Wang (Baidu USA LLC.)

62. Text Recognition using local correlation
yujia Li (Institute of Information Engineering,Chinese Academy of Sciences); Hongchao Gao ( Institute of Information Engineering,Chinese Academy of Sciences); Xi Wang (IIE); Jizhong Han (Institute of Information Engineering,Chinese Academy of Sciences); Ruixuan Li (Huazhong University of Science and Technology)

63. A Learning-based Text Synthesis Engine for Scene Text Detection
Xiao Yang (Pennsylvania State University); dafang he (The Penn State University); Dan Kifer (“Pennsylva State Univ., USA”); Lee Giles (Pennsylvania State)

64. Large Margin Loss for Learning Facial Movements from Pseudo-Emotions
Andrei Racoviteanu (University Politehnica of Bucharest); Mihai Badea (Image Processing and Analysis Laboratory, University Politehnica of Bucharest); Corneliu Florea (University Politehnica of Bucharest); Laura Florea (University Politehnica Bucharest); Constantin Vertan (University Politehnica of Bucarest)

65. DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM
Ryo Hachiuma (Keio University); Christian Pirchheim (Graz University of Technology); Dieter Schmalstieg (Graz University of Technology); Hideo Saito (Keio University)

66. A Simple Direct Solution to the Perspective-Three-Point Problem
Gaku Nakano (NEC Corporation)

67. Delving Deep into Least Square Regression Model for Subspace Clustering
Masataka Yamaguchi (NTT Corporation); Go Irie (NTT Communication Science Laboratories); Takahito Kawanishi (NTT Corporation); Kunio Kashino (NTT Corporation)

68. PCAS: Pruning Channels with Attention Statistics for Deep Network Compression
Kohei Yamamoto (Oki Electric Industry Co., Ltd.); Kurato Maeno (Oki Electric Industry Co., Ltd.)

69. Variational Saccading: Efficient Inference for Large Resolution Images
Jason Ramapuram (University of Geneva); Russ Webb (Apple); Maurits Diephuis (University of Geneva); Alexandros Kalousis (AU Geneva); Frantzeska Lavda (University of Geneva)

70. Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing
Ali Shafahi (University of Maryland); Mohammad Amin Ghiasi (University of Maryland); Mahyar Najibi (University of Maryland); Furong Huang (University of Maryland); John Dickerson (University of Maryland); Tom Goldstein (University of Maryland, College Park)

71. Learning Target-aware Attention for Robust Tracking with Conditional Adversarial Network
Xiao Wang (Anhui University); Rui Yang (Anhui university); Tao Sun (Anhui university); Bin Luo (Anhui University)

72. Bilinear Siamese Networks with Background Suppression for Visual Object Tracking
Hankyeol Lee (KAIST); Seokeon Choi (KAIST); Youngeun Kim (KAIST); Changick Kim (KAIST)

73. Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes
Fabian Fuchs (Oxford Robotics Insitute); Oliver Groth (Oxford Robotics Insitute); Adam Kosiorek (Oxford); Alex Bewley (Google); Markus Wulfmeier (DeepMind); Andrea Vedaldi (Oxford University); Ingmar Posner (Oxford)

74. Body Part Alignment and Temporal Attention Pooling for Video-Based Person Re-Identification
Michael Jones (MERL); Sai Saketh Rambhatla (University of Maryland)

75. MixConv: Mixed Depthwise Convolutional Kernels
Mingxing Tan (Google Brain); Quoc Le (Google Brain)

76. Accurate and Compact Convolutional Neural Networks with Trained Binarization
Zhe Xu (City University of Hong Kong); Ray Cheung (City University of Hong Kong)

77. Look and Modify: Modification Networks for Image Captioning
Fawaz Sammani (Multimedia University); Mahmoud Elsayed (Multimedia University )

78. Ordinal Pooling
Adrien Deliege (University of Liege); Ashwani Kumar (University of Sheffield); Maxime Istasse (UCLouvain, ICTEAM, ELEN, ISPGroup); Christophe De Vleeschouwer (Université Catholique de Louvain); Marc Van Droogenbroeck (University of Liege)

79. Adversarial Examples for Handcrafted Features
Muhammad Latif Anjum (NUST); Zohaib Ali (NUST); Wajahat Hussain (NUST – SEECS)

80. Large Margin In Softmax Cross-Entropy Loss
Takumi Kobayashi (National Institute of Advanced Industrial Science and Technology)

81. DublinCity: Annotated LiDAR Point Cloud and its Applications
S M Iman Zolanvari (Trinity College Dublin); Susana Ruano (Trinity College Dublin); Aakanksha Rana (Trinity College Dublin); Alan Cummins (Trinity College Dublin); Rogério Eduardo da Silva (University of Houston-Victoria); Morteza Rahbar (CAAD, ITA, ETH Zurich); Aljosa Smolic (Trinity College Dublin)

82. Document Binarization using Recurrent Attention Generative Model
Shuchun Liu (ele AI lab ); Feiyun Zhang (ele AILab ); Pan He (University of Florida); Mingxi Chen (Tongji University); Yufei Xie (East China Normal University); Jie Shao (Fudan University)

83. Single Image 3D Hand Reconstruction with Mesh Convolutions
Dominik Kulon (Imperial College London); Haoyang Wang (Imperial College London); Alp Guler (Ariel AI, Imperial College London); Michael Bronstein (Imperial College); Stefanos Zafeiriou (Imperial College Londong)

84. Show, Infer and Tell: Contextual Inference for Creative Captioning
Ankit Khare (University of Texas at Arlington ); Manfred Huber (University of Texas at Arlington )

85. Defending against adversarial examples using defense kernel network
Yuying Hao (TBSI,Tsinghua); Tuanhui Li (Tsinghua University); Yong Jiang (Tsinghua University); Xuanye Cheng (SenseTIme Research); Li Li (Graduate School at Shenzhen, Tsinghua University)

86. One-shot Face Reenactment
Cheng Li (SenseTime Research); Yunxuan Zhang (sensetime research); YUE HE (sensetime); Siwei Zhang (Sensetime Research); Ziwei Liu (The Chinese University of Hong Kong); Chen Change Loy (Nanyang Technological University)

87. Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice
Jieru Jia (Beijing Jiaotong University); 阮 秋琦 (北京交通大学); Timothy Hospedales (Edinburgh University)

88. MocapNET: Ensemble of SNN Encoders for 3D Human Pose Estimation in RGB Images
Ammar Qammaz (CSD-UOC and ICS-FORTH); Antonis Argyros (CSD-UOC and ICS-FORTH)

89. Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet
Zoltán Milacski (Eötvös Loránd University); Barnabas Poczos ( Carnegie Mellon University); Andras Lorincz (Eotvos Lorand University)

90. Learning to Focus and Track Extreme Climate Events
Sookyung Kim (Lawrence Livermore National Laboratory); Sunghyun Park (Korea University); Sunghyo Chung (Korea University); Joonseok Lee (Google Research); Yunsung Lee (Korea University); Hyojin Kim (LLNL); Mr Prabhat (Lawrence Berkeley National Laboratory); Jaegul Choo (Korea University)

91. Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network
Muzammil Behzad (University of Oulu); Nhat Vo (University of Oulu); Xiaobai Li (University of Oulu); Guoying Zhao (University of Oulu)

92. Predicting Visual Memory Schemas with Variational Autoencoders
Cameron Kyle-Davidson (University of York); Adrian Bors (University of York); Karla Evans (University of York)

93. Revisiting Residual Networks with Nonlinear Shortcuts
Chaoning Zhang (KAIST); Francois Rameau (KAIST); Jean-Charles Bazin (KAIST); Dawit Mureja Argaw (KAIST); Philipp Benz (KAIST); Seokju Lee (Korea Advanced Institute of Science and Technology (KAIST)); Junsik Kim (Korea Advanced Institute of Science and Technology (KAIST)); In So Kweon (KAIST)

94. Enhanced Normalized Mean Error loss for Robust Facial Landmark detection
Shenqi Lai (Meituandianping Group); Zhenhua Chai (MeituanDianping group); Huanhuan Meng (MeituanDianping group ); Shengxi Li (MeituanDianping group ); Mengzhao Yang (MeituanDianping group ); Xiaoming Wei (MeituanDianping group )

95. PMC-GANs: Generating Multi-Scale High-Quality Pedestrian with Multimodal Cascaded GANs
Jie Wu (CHINA ELECTRONICS TECHNOLOGY CYBER SECURITY CO., LTD.); Ying Peng (CHINA ELECTRONICS TECHNOLOGY CYBER SECURITY CO., LTD.); Chenghao Zheng (CETC); Zongbo Hao (UESTC); zhang jian (CHINA ELECTRONICS TECHNOLOGY CYBER SECURITY CO.,LTD)

96. Transductive Learning Via Improved Geodesic Sampling
Youshan Zhang (Lehigh University); Brian Davison (Lehigh University); Sihong Xie (Lehigh University)

97. Graph-based Knowledge Distillation by Multi-head Attention Network
Seunghyun Lee (Inha University); Byung Cheol Song (Inha University)

98. Contrastive Learning for Lifted Networks
Christopher Zach (Chalmers University); Virginia Estellers (Microsoft)

99. An Acceleration Scheme for Mini-batch, Streaming PCA
Salaheddin Alakkari (Trinity College Dublin); John Dingliana (Trinity College Dublin)

100. Convolutional CRFs for Semantic Segmentation
Marvin Teichmann (University of Cambridge); Roberto Cipolla (University of Cambridge)

101. End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-Net
Tuan Anh Nguyen Dang (Cinnamon); Dat Nguyen Thanh (Cinnamon)

102. Group Based Deep Shared Feature Learning for Fine-grained Image Classification
Xuelu Li (The Pennsylvania State University – University Park); Vishal Monga (Pennsylvania State University )

103. Adaptive Graphical Model Network for 2D Handpose Estimation
Deying Kong (university of california, irvine); Yifei Chen (Tencent); Haoyu Ma (Southeast University); Xiangyi Yan (Southern University of Science and Technology); Xiaohui Xie (University of California, Irvine)

104. SRN: Stacked Regression Network for Real-time 3D Hand Pose Estimation
pengfei ren (Beijing University of Posts and Telecommunications); Haifeng Sun (Beijing University of Posts and Telecommunications); Jingyu Wang (Beijing University of Posts and Telecommunications); Qi Qi (Beijing University of Posts and Telecommunications); weiting huang (Beijing University of Posts and Telecommunications)

105. Unified 2D and 3D Hand Pose Estimation from a Single Visible or X-ray Image
Akila Pemasiri (Queensland University of Technology (QUT)); Kien Nguyen Thanh (Queensland University of Technology); Sridha Sridharan (QUT); Clinton Fookes (Queensland University of Technology)

106. An Evaluation of Feature Encoding Techniques for Non-Rigid and Rigid 3D Point Cloud Retrieval
Sindhu Hegde (KLE Technological University); Shankar Gangisetty (KLE Technological University)

107. Bag of Negatives for Siamese Architectures
Bojana Gajic (Computer Vision Center); Ariel Amato (Vintra, Inc.); Ramón Baldrich (Computer Vision Center (Ph.D.)); Carlo Gatta (Vintra, Inc.)

108. SC-RANK: Improving Convolutional Image Captioning with Self-Critical Learning and Ranking Metric-based Reward
Shiyang Yan (Queen’s University Belfast); Yang Hua (Queen’s University Belfast); Neil Robertson (Queen’s University Belfast)

109. Push for Quantization: Deep Fisher Hashing
Yunqiang Li (Delft University of Technology); Wenjie Pei (Tencent); yufei zha (Air Force Engineering University); Jan van Gemert (Delft University of Technology)

110. SO(2)-equivariance in Neural networks using tensor nonlinearity
Muthuvel Murugan Issakkimuthu (Chennai Mathematical Institute); K V Subrahmanyam (Chennai Mathematical Institute)

111. Features for Ground Texture Based Localization – A Survey
Jan Fabian Schmid (Robert Bosch GmbH); Stephan F. Simon (Robert Bosch GmbH); Rudolf Mester (Goethe University Frankfurt)

112. Investigating Class-level Difficulty Factors inMulti-label Classification Problems
Joseph Antony (Insight Centre for Data Analytics, DCU, Ireland)

113. Discriminative Features Matter: Multi-layer Bilinear Pooling for Camera Localization
Xin Wang (Beihang University); Xiang Wang (Beihang University); Chen Wang (Beihang University); Xiao Bai (Beihang University); Jing Wu (Cardiff); Hancock Edwin (“University of York, UK”)

114. Face Anti-Spoofing via Sample Learning Based Recurrent Neural Network (RNN)
Usman Muhammad (University of Oulu); Abdenour Hadid (Finland); Wheidima Melo (university of oulu); Tuomas Kristian Holmberg (University of Oulu)

115. Matching Features without Descriptors: Implicitly Matched Interest Points
Titus Cieslewski (University of Zurich & ETH Zurich); Michael Bloesch (Deepmind); Davide Scaramuzza (University of Zurich & ETH Zurich, Switzerland)

116. Perspective-n-Learned-Point: Pose Estimation from Relative Depth
Nathan Piasco (Univ. Bourgogne Franche-Comté ); Désiré Sidibé (Université de Bourgogne); Cedric Demonceaux (Univ. Bourgogne Franche-Comte, France); Valérie Gouet-Brunet (LASTIG/IGN)

117. PAttNet: Patch-attentive deep network for action unit detection
Itir Onal Ertugrul (Carnegie Mellon University); Laszlo Jeni (Carnegie Mellon University); Jeffrey Cohn (University of Pittsburgh)

118. PMnet: Learning of Disentangled Pose and Movement for Unsupervised Motion Retargeting
Jongin Lim (Seoul National University); Hyung Jin Chang (University of Birmingham); Jin Young Choi (Seoul National University)

119. Merge-SfM: Merging Partial Reconstructions
Meiling Fang (Fraunhofer IOSB); Thomas Pollok (Fraunhofer IOSB); Chengchao Qu (Fraunhofer IOSB)

120. Addressing Data Bias Problems for Chest X-ray Image Report Generation
Philipp Harzig (University of Augsburg); Yan-Ying Chen (FX Pal); Francine Chen (FX Palo Alto Laboratory); Rainer Lienhart (“Universitat Augsburg, Germany”)

121. DwNet: Dense warp-based network for pose-guided human video generation
Polina Zablotskaia (The University of British Columbia); Aliaksandr Siarohin (University of Trento); Leonid Sigal (University of British Columbia); Bo Zhao (University of British Columbia)

122. Joint Multi-view Texture Super-resolution and Intrinsic Decomposition
Wei Dong (Carnegie Mellon University); Vagia Tsiminaki (ETH Zurich); Martin R. Oswald (ETH Zurich); Marc Pollefeys (ETH Zurich / Microsoft)

123. PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning
Ankita Shukla (Indraprastha Institute of Information Technology – Delhi); Shagun Uppal (IIIT-Delhi); Sarthak Bhagat (IIIT-Delhi); Saket Anand (Indraprastha Institute of Information Technology Delhi); Pavan Turaga (Arizona State University)

124. A Generic Active Learning Framework for Class Imbalance Applications
Aditya Bhattacharya (Florida State University); Ji Liu (University of Rochester); Shayok Chakraborty (Florida State University, USA)

125. Dynamic Neural Network Channel Execution for Efficient Training
Simeon Spasov (University of Cambridge); Pietro Lió (University of Cambridge)

126. RecNets: Channel-wise Recurrent Convolutional Neural Networks
George Retsinas (National Technical University of Athens); Athena Elafrou (National Technical University of Athens); Georgios Goumas ( National Technical University of Athens); Petros Maragos (National Technical University of Athens)

127. Class-Distinct and Class-Mutual Image Generation with GANs
Takuhiro Kaneko (The University of Tokyo); Yoshitaka Ushiku (The University of Tokyo); Tatsuya Harada (The University of Tokyo / RIKEN)

128. Classification is a Strong Baseline for Deep Metric Learning
Hao-Yu Wu (Pinterest.com); Andrew Zhai (Pinterest, Inc.)

129. Learning Depth-aware Heatmaps for 3D Human Pose Estimation in the Wild
Zerui Chen (Chinese Academy of Sciences); Yiru Guo (Beihang University); Yan Huang (Institute of Automation, Chinese Academy of Sciences); Liang Wang (NLPR, China)

130. Annotation-free Quality Estimation of Food Grains using Deep Neural Network
Akankshya Kar (Samsung Research Institute Bangalore); Prakhar Kulshreshtha (Samsung Research Institute Bangalore); Ayush Agrawal (Samsung Research Institute Bangalore); Sandeep Palakkal (Samsung Electronics); Lokesh Boregowda ( Samsung Research Institute Bangalore)

131. Functionality-Oriented Convolutional Filter Pruning
zhuwei qin (George Mason University); Fuxun Yu (George Mason University); Chenchen Liu (Clarkson University); Xiang Chen (George Mason University)

16:15 — 18:15   Oral Presentations: Deep Learning for Vision (Session 2) Sir Martin Evans Building

132. Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations
Iuliia Kotseruba (York University); Calden Wloka (York University); Amir Rasouli (York University); John Tsotsos (York University)

133. PCAS: Pruning Channels with Attention Statistics for Deep Network Compression
Kohei Yamamoto (Oki Electric Industry Co., Ltd.); Kurato Maeno (Oki Electric Industry Co., Ltd.)

134. Large Margin In Softmax Cross-Entropy Loss
Takumi Kobayashi (National Institute of Advanced Industrial Science and Technology)

135. Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet
Zoltán Milacski (Eötvös Loránd University); Barnabas Poczos ( Carnegie Mellon University); Andras Lorincz (Eotvos Lorand University)

136. Graph-based Knowledge Distillation by Multi-head Attention Network
Seunghyun Lee (Inha University); Byung Cheol Song (Inha University)

137. Convolutional CRFs for Semantic Segmentation
Marvin Teichmann (University of Cambridge); Roberto Cipolla (University of Cambridge)

138. Group Based Deep Shared Feature Learning for Fine-grained Image Classification
Xuelu Li (The Pennsylvania State University – University Park); Vishal Monga (Pennsylvania State University )

139. Addressing Data Bias Problems for Chest X-ray Image Report Generation
Philipp Harzig (University of Augsburg); Yan-Ying Chen (FX Pal); Francine Chen (FX Palo Alto Laboratory); Rainer Lienhart (“Universitat Augsburg, Germany”)

19:00 — 20:45   Dinner SU, Y Plas


Wednesday 11th September

08:00 — 09:00   Registration

09:00 — 10:00   Keynote Sir Martin Evans Building

Automatic Understanding of the Visual World
Prof. Cordelia Schmid (Inria)

10:00 — 11:00   Spotlights (Session 2) Sir Martin Evans Building

140. Object Affordances Graph Network for Action Recognition
Haoliang Tan (Xi’an Jiaotong University); Le Wang (Xi’an Jiaotong University); Qilin Zhang (HERE Technologies); Zhanning Gao (Alibaba Group); Nanning Zheng (Xi’an Jiaotong University); Gang Hua (Wormpex AI Research)

141. Image Captioning with Unseen Objects
Berkan Demirel (HAVELSAN Inc. & METU); Ramazan Gokberk Cinbis (METU); Nazli Ikizler-Cinbis (Hacettepe University)

142. Residual Multiscale Based Single Image Deraining
Yupei Zheng (Beijing Jiaotong University); Xin Yu (Australian National University); Miaomiao Liu (The Australian National University); Shunli Zhang (Beijing Jiaotong University)

143. Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss
Xuefeng Du (Xi’an Jiaotong University); Xiangrui Zeng (Carnegie Mellon University); Bo Zhou (Carnegie Mellon University); Alex Singh (Carnegie Mellon University); Min Xu (Carnegie Mellon University)

144. Learnable Gated Temporal Shift Module for Free-form Video Inpainting
Ya-Liang Chang (National Taiwan University); Zhe Yu Liu (National Taiwan University); Kuan-Ying Lee (National Taiwan University); Winston Hsu (National Taiwan University)

145. MS-GAN: Text to Image Synthesis with Attention-Modulated Generators and Similarity-aware Discriminators
Fengling Mao ( Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100080, China); Bingpeng MA (University of Chinese Academy of Sciences); Hong Chang (Chinese Academy of Sciences); Shiguang Shan (Chinese Academy of Sciences); Xilin Chen (Institute of Computing Technology, Chinese Academy of Sciences)

146. Unsupervised and Explainable Assessment of Video Similarity
Konstantinos Papoutsakis (University of Crete & ICS-FORTH, Greece); Antonis Argyros (CSD-UOC and ICS-FORTH)

147. AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations
Honglie Chen (University of Oxford); Weidi Xie (University of Oxford); Andrea Vedaldi (Oxford University); Andrew Zisserman (University of Oxford)

148. Adaptive Compression-based Lifelong Learning
Shivangi Srivastava (Wageningen University and Research); Maxim Berman (KU Leuven); Matthew Blaschko (KU Leuven); Devis Tuia (Wageningen University and Research)

149. TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition
Bishay Mina (Queen Mary University London); Georgios Zoumpourlis (Queen Mary University of London); Ioannis Patras (Queen Mary University of London)

150. Adaptive Lighting for Data-Driven Non-Line-of-Sight 3D Localization and Object Identification
Sreenithy Chandran (Arizona State University); Suren Jayasuriya (Arizona State University)

151. Hybrid Deep Network for Anomaly Detection
Trong Nguyen Nguyen (University of Montreal); Jean Meunier (Canada)

152. Fast and Multilevel Semantic-Preserving Discrete Hashing
Wanqian Zhang (Institute of Information Engineering, Chinese Academy of Sciences); Dayan Wu (Institute of Information Engineering, Chinese Academy of Sciences); Jing Liu (Institute of Information Engineering, Chinese Academy of Sciences); Bo Li ( Institute of Information Engineering, Chinese Academy of Sciences); Xiaoyan Gu (Institute of Information Engineering, Chinese Academy of Sciences); Weiping Wang (Institute of Information Engineering, CAS, China); Dan Meng (Institute of Information Engineering, CAS)

153. Mining Discriminative Food Regions for Accurate Food Recognition
Jianing Qiu (Imperial College London); Po Wen Lo (Imperial College London); Yingnan Sun (Imperial College London); Siyao Wang (Imperial College London); Benny Lo (Imperial College London)

154. Attentional demand estimation with attentive driving models
Petar Palasek (MindVisionLabs); Luke Palmer (Mindvisionlabs); Nilli Lavie (University College London; Mind Vision Labs)

155. Generalised Visual Microphone
Juhyun Ahn (SUALAB)

11:00 — 11:45   Tea Break SU, Great Hall

11:45 — 13:15   Oral Presentations: 3D Computer Vision Sir Martin Evans Building

156. End-to-End 3D Hand Pose Estimation from Stereo Cameras
Yuncheng Li (Snap); Zehao Xue (Snap Inc.); Yingying Wang (Snap Inc.); Liuhao Ge (Nanyang Technological University); Zhou Ren (Wormpex AI Research); Jonathan Rodriguez (Snap)

157. Triangulation: Why Optimize?
Seong Hun Lee (University of Zaragoza); Javier Civera (Universidad de Zaragoza)

158. Single-view Object Shape Reconstruction Using Deep Shape Prior and Silhouette
Kejie Li (University of Adelaide); Ravi Garg (University of Adelaide); Ming Cai (The University of Adelaide); Ian Reid (“University of Adelaide, Australia”)

159. Learning Embedding of 3D models with Quadric Loss
Nitin Agarwal (Department of Computer Science, UC-Irvine); Sungeui Yoon (KAIST); M Gopi (University of California, Irvine)

160. Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image
Roman Klokov (INRIA); Jakob Verbeek (INRIA); Edmond Boyer (Inria)

161. Optimal Multi-view Correction of Local Affine Frames
Iván Eichhardt (MTA SZTAKI); Dániel Baráth (MTA SZTAKI, CMP Prague)

13:15 — 14:00   Lunch SU, Great Hall

14:00 — 16:15   Posters (Session 2) Sir Martin Evans Building
[Toggle Poster List]

162. Visuomotor Understanding for Representation Learning of Driving Scenes
Seokju Lee (Korea Advanced Institute of Science and Technology (KAIST)); Junsik Kim (Korea Advanced Institute of Science and Technology (KAIST)); Tae-Hyun Oh (MIT CSAIL); Yongseop Jeong (KAIST); Donggeun Yoo (Lunit); Stephen Lin (Microsoft Research); In So Kweon (KAIST)

163. Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading
Xinshuo Weng (Carnegie Mellon University); Kris Kitani (CMU)

164. Generalized Zero-shot Learning using Open Set Recognition
Omkar Gune (Indian Institute of Technology Bombay); Amit More (Indian Institute of Technology Bombay); Biplab Banerjee (Indian Institute of Technology, Bombay); Subhasis Chaudhuri (Indian Institute of Technology Bombay)

165. Quantitative Analysis of Similarity Measures of Distributions
Eric Bazán (PSL Research University – MINES ParisTech); Petr Dokládal ( PSL Research University – MINES ParisTech); Eva Dokládalová (Université Paris-Est, LIGM, UMR 8049, ESIEE Paris)

166. A Top-Down Unified Framework for Instance-level Human Parsing
Haifang Qin (Peking University); Weixiang Hong (National University of Singapore); Wei-Chih Hung (University of California, Merced); Yi-Hsuan Tsai (NEC Labs America); Ming-Hsuan Yang (University of California at Merced)

167. Object Affordances Graph Network for Action Recognition
Haoliang Tan (Xi’an Jiaotong University); Le Wang (Xi’an Jiaotong University); Qilin Zhang (HERE Technologies); Zhanning Gao (Alibaba Group); Nanning Zheng (Xi’an Jiaotong University); Gang Hua (Wormpex AI Research)

168. Rethinking Classification and Localization for Cascade R-CNN
Ang Li (Nanjing University of Science and Technology); Xue Yang (Shanghai Jiao Tong University); Chongyang Zhang (Nanjing University of Science and Technology)

169. Dual Graph Convolutional Network for Semantic Segmentation
Li Zhang (University of Oxford); Xiangtai Li (Peking University); Anurag Arnab (University of Oxford); Kuiyuan Yang (DeepMotion); Yunhai Tong (Peking University); Philip Torr (University of Oxford)

170. Gated Multiple Feedback Network for Image Super-Resolution
Qilei Li (Sichuan University); Zhen Li (Sichuan University); Lu Lu (Sichuan University); Gwanggil Jeon (Incheon National University ); Kai Liu (Sichuan University ); Xiaomin Yang (Sichuan University)

171. Sensor-Independent Illumination Estimation for DNN Models
Mahmoud Afifi (York University); Michael Brown (York University)

172. Where are the Masks: Instance Segmentation with Image-level Supervision
Issam Hadj Laradji (University of British Columbia (UBC)); David Vazquez (Element AI); Mark Schmidt (University of British Columbia)

173. Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?
Yunus Can Bilge (Hacettepe University); Nazli Ikizler-Cinbis (Hacettepe University); Ramazan Gokberk Cinbis (METU)

174. Image Captioning with Unseen Objects
Berkan Demirel (HAVELSAN Inc. & METU); Ramazan Gokberk Cinbis (METU); Nazli Ikizler-Cinbis (Hacettepe University)

175. Motion-Aware Feature for Improved Video Anomaly Detection
Yi Zhu (UC Merced); Shawn Newsam (UC Merced)

176. High Frequency Residual Learning for Multi-Scale Image Classification
Bowen Cheng (UIUC); Rong Xiao (Ping An); Jianfeng Wang (Microsoft Research); Thomas Huang (UIUC); Lei Zhang (Microsoft)

177. Learning Efficient Detector with Semi-supervised Adaptive Distillation
Shitao Tang (SenseTime Research); Litong Feng (Sensetime Research); Wenqi Shao (The Chinese University of HongKong); Zhanghui Kuang (Sensetime Ltd.); Wayne Zhang (SenseTime Research); Zheng Lu (University of Nottingham Ningbo China)

178. Guide Your Eyes: Learning Image Manipulation under Saliency Guidance
Yen-Chung Chen (National Chiao Tung University); Keng-Jui Chang (National Chiao Tung University); Yi-Hsuan Tsai (NEC Labs America); Yu-Chiang Frank Wang (National Taiwan University); Wei-Chen Chiu (National Chiao Tung University)

179. An Efficient 3D CNN for Action/Object Segmentation in Video
Rui Hou (UCF); Chen Chen (University of North Carolina at Charlotte); Mubarak Shah (University of Central Florida); Rahul Sukthankar (Google)

180. Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior
Thomas Gittings (University of Surrey); Steve Schneider (University of Surrey); John Collomosse (University of Surrey)

181. Residual Multiscale Based Single Image Deraining
Yupei Zheng (Beijing Jiaotong University); Xin Yu (Australian National University); Miaomiao Liu (The Australian National University); Shunli Zhang (Beijing Jiaotong University)

182. Geometry-Aware End-to-End Skeleton Detection
Weijian Xu (University of California, San Diego); Gaurav Parmar (UC San Diego); Zhuowen Tu (UC San Diego)

183. Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks
Zitong Yu (CMVS, University of Oulu); Xiaobai Li (University of Oulu); Guoying Zhao (University of Oulu)

184. Referring Expression Object Segmentation with Caption-Aware Consistency
Yi-Wen Chen (Academia Sinica); Yi-Hsuan Tsai (NEC Labs America); Tiantian Wang (UC Merced); Yen-Yu Lin (Academia Sinica); Ming-Hsuan Yang (University of California at Merced)

185. Knowledge Distillation for End-to-End Person Search
Bharti Munjal (OSRAM); Fabio Galasso (OSRAM); Sikandar Amin (OSRAM GmbH)

186. One-Shot Scene-Specific Crowd Counting
Mohammad Hossain (HUAWEI Technologies Co, LTD.); Mahesh Kumar K (University of Manitoba); Mehrdad Hosseinzadeh (University of Manitoba); Omit Chanda (University of Manitoba); Yang Wang (University of Manitoba)

187. Convolutional Mean: A Simple Convolutional Neural Network for Illuminant Estimation
Han Gong (University of East Anglia)

188. Geometry-Aware Video Object Detection for Static Cameras
Dan Xu (University of Oxford); Weidi Xie (University of Oxford); Andrew Zisserman (University of Oxford)

189. End-to-End 3D Hand Pose Estimation from Stereo Cameras
Yuncheng Li (Snap); Zehao Xue (Snap Inc.); Yingying Wang (Snap Inc.); Liuhao Ge (Nanyang Technological University); Zhou Ren (Wormpex AI Research); Jonathan Rodriguez (Snap)

190. Towards Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes
Haiyan Wang (The City College of New York); Xuejian Rong (The City College, City University of New York); Liang Yang (The City College Of New York); YingLi Tian (City University of New York)

191. Spatio-temporal Relational Reasoning for Video Question Answering
Gursimran Singh (University of British Columbia); Leonid Sigal (University of British Columbia); Jim Little (University of British Columbia, Canada)

192. Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs
Amir Rasouli (York University); Iuliia Kotseruba (York University); John Tsotsos (York University)

193. Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches
Yuezun Li (University at Albany, SUNY); Xiao Bian (GE Global Research); Ming-Ching Chang (Albany University); Siwei Lyu (University at Albany)

194. Wide Activation for Efficient Image and Video Super-Resolution
Jiahui Yu (UIUC); Yuchen Fan (University of Illinois at Urbana-Champaign); Thomas Huang (UIUC)

195. Balancing Specialization, Generalization, and Compression for Detection and Tracking
Dotan Kaufman (Amazon); Koby Bibas (Amazon); Eran Borenstein (Amazon); Michael Chertok (Amazon, Lab126); Tal Hassner (Amazon)

196. Focused Attention for Action Recognition
vladyslav sydorov (Inria); Karteek Alahari (Inria); Cordelia Schmid (INRIA)

197. Orthographic Feature Transform for Monocular 3D Object Detection
Thomas Roddick (Department of Engineering, University of Cambridge); Alex Kendall (Cambridge University); Roberto Cipolla (University of Cambridge)

198. Triangulation: Why Optimize?
Seong Hun Lee (University of Zaragoza); Javier Civera (Universidad de Zaragoza)

199. Spatio-Temporal Associative Representation for Video Person Re-Identification
Guile Wu (Queen Mary University of London); Xiatian Zhu (Samsung AI Centre, Cambridge); Shaogang Gong (Queen Mary University of London)

200. Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects
Hila Levi (Weizmann Institue of Science); Shimon Ullman (Weizmann Institute of Science)

201. Mutual Suppression Network for Video Prediction using Disentangled Features
Jungbeom Lee (Seoul National University); Jangho Lee (Seoul National University); Sungmin Lee (Seoul National University); Sungroh Yoon (Seoul National University)

202. Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss
Xuefeng Du (Xi’an Jiaotong University); Xiangrui Zeng (Carnegie Mellon University); Bo Zhou (Carnegie Mellon University); Alex Singh (Carnegie Mellon University); Min Xu (Carnegie Mellon University)

203. Learnable Gated Temporal Shift Module for Free-form Video Inpainting
Ya-Liang Chang (National Taiwan University); Zhe Yu Liu (National Taiwan University); Kuan-Ying Lee (National Taiwan University); Winston Hsu (National Taiwan University)

204. Texel-Att: Representing and Classifying Element-Based Textures by Attributes
Marco Godi (University of Verona); Christian Joppi (University of Verona); Andrea Giachetti (TBA); Fabio Pellacini (Sapienza University of Rome); Marco Cristani (University of Verona)

205. Use What You Have: Video retrieval using representations from collaborative experts
Yang Liu (University of Oxford); Samuel Albanie (University of Oxford); Arsha Nagrani (Oxford University ); Andrew Zisserman (University of Oxford)

206. Single-view Object Shape Reconstruction Using Deep Shape Prior and Silhouette
Kejie Li (University of Adelaide); Ravi Garg (University of Adelaide); Ming Cai (The University of Adelaide); Ian Reid (“University of Adelaide, Australia”)

207. Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification
Chih-Ting Liu (National Taiwan University); Chih-Wei Wu (National Taiwan University); Yu-Chiang Frank Wang (National Taiwan University); Shao-Yi Chien (National Taiwan University)

208. Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace
Dimitrios Kollias (Imperial College London); Stefanos Zafeiriou (Imperial College Londong)

209. MS-GAN: Text to Image Synthesis with Attention-Modulated Generators and Similarity-aware Discriminators
Fengling Mao ( Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100080, China); Bingpeng MA (University of Chinese Academy of Sciences); Hong Chang (Chinese Academy of Sciences); Shiguang Shan (Chinese Academy of Sciences); Xilin Chen (Institute of Computing Technology, Chinese Academy of Sciences)

210. Relation-aware Multiple Attention Siamese Networks for Robust Visual Tracking
Fangyi Zhang (Chinese Academy of Sciences); Bingpeng MA (University of Chinese Academy of Sciences); Hong Chang (Chinese Academy of Sciences); Shiguang Shan (Chinese Academy of Sciences); Xilin Chen (Institute of Computing Technology, Chinese Academy of Sciences)

211. Unsupervised and Explainable Assessment of Video Similarity
Konstantinos Papoutsakis (University of Crete & ICS-FORTH, Greece); Antonis Argyros (CSD-UOC and ICS-FORTH)

212. Element-Embedded Style Transfer Networks for Style Harmonization
Hwai-Jin Peng (National Taiwan University); Chia-Ming WANG (National Taiwan University); Yu-Chiang Frank Wang (National Taiwan University)

213. Global Aggregation then Local Distribution in Fully Convolutional Networks
Xiangtai Li (Peking University); Li Zhang (University of Oxford); Ansheng You (Peking University); Maoke Yang (DeepMotion); Yunhai Tong (Peking University); Kuiyuan Yang (DeepMotion)

214. Learning Embedding of 3D models with Quadric Loss
Nitin Agarwal (Department of Computer Science, UC-Irvine); Sungeui Yoon (KAIST); M Gopi (University of California, Irvine)

215. Dispersion based Clustering for Unsupervised Person Re-identification
Guodong Ding (Nanjing University of Science and Technology); Salman Khan (Australian National University (ANU)); Zhenmin Tang ( Nanjing University of Science and Technology)

216. ClueNet : A Deep Framework for Occluded Pedestrian Pose Estimation
Sai Raj Kishore Perla (Institute of Engineering & Management); Sudip Das (Indian Statistical Institute); Partha Sarathi Mukherjee (Indian Statistical Institute); Ujjwal Bhattacharya (ISI Kolkata)

217. AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations
Honglie Chen (University of Oxford); Weidi Xie (University of Oxford); Andrea Vedaldi (Oxford University); Andrew Zisserman (University of Oxford)

218. Attention-based Facial Behavior Analytics inSocial Communication
Lezi Wang (Rutgers); Chongyang Bai (Dartmouth College); Maksim Bolonkin (Dartmouth College); VS Subrahmanian (Dartmouth College); Judee Burgoon (University of Arizona); Norah Dunbar (UC Santa Babara); Dimitris Metaxas (Rutgers)

219. Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition
Hao Huang (University of Rochester); Luowei Zhou (University of Michigan); Wei Zhang (University of Rochester); Jason Corso (University of Michigan); Chenliang Xu (University of Rochester)

220. Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment
Yi Zhang (Iwate University); Chao Zhang (University of Fukui); Takuya Akashi (Iwate University)

221. Improving Multi-stage Object Detection via Iterative Proposal Refinement
Jicheng Gong (Westwell-lab); Zhao Zhao (Westwell-lab); Nic Li (Westwell Lab)

222. Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency
Guillaume Rochette (University of Surrey); Chris Russell (University of Surrey); Richard Bowden (University of Surrey)

223. Higher order Dictionary Learning for Compressed Sensing based Dynamic MRI reconstruction
MINHA MUBARAK (IIST); Thomas James Thomas (Indian Institute of Space Science and Technology); Sheeba Rani J (Indian Institute of Space Science and Technology); Deepak Mishra (IIST)

224. Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image
Roman Klokov (INRIA); Jakob Verbeek (INRIA); Edmond Boyer (Inria)

225. Forecasting Future Action Sequences with Neural Memory Networks
Harshala Gammulle (Queensland University of Technology); SIMON DENMAN (Queensland University of Technology, Australia); Sridha Sridharan (QUT); Clinton Fookes (Queensland University of Technology)

226. Spatial Transformer Spectral Kernels for Deformable Image Registration
Ebrahim Al Safadi (Oregon Health and Science University); Prof. Prof Xubo Song Oregon Health and Science U Machine Learning ImageProc ECG MRI W. (“Respected member, IPC, ICIEV”)

227. Self-supervised Video Representation Learning for Correspondence Flow
Zihang Lai (University of Oxford); Weidi Xie (University of Oxford)

228. Learning Visual Actions Using Multiple Verb-Only Labels
Michael Wray (University of Bristol); Dima Damen (University of Bristol)

229. Harmonic Networks for Image Classification
Matej Ulicny (Trinity College Dublin); Vladimir Krylov (Trinity College Dublin); Rozenn Dahyot (Trinity College Dublin)

230. Adaptive Compression-based Lifelong Learning
Shivangi Srivastava (Wageningen University and Research); Maxim Berman (KU Leuven); Matthew Blaschko (KU Leuven); Devis Tuia (Wageningen University and Research)

231. TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition
Bishay Mina (Queen Mary University London); Georgios Zoumpourlis (Queen Mary University of London); Ioannis Patras (Queen Mary University of London)

232. Generating Expensive Relationship Features from Cheap Objects
Xiaogang Wang (National University of Singapore); Qianru Sun (MPI); Marcelo Ang (National University of Singapore); Tat-Seng Chua (National university of Singapore)

233. Soft Sampling for Robust Object Detection
Zhe Wu (University of Maryland); Navaneeth Bodla (University of Maryland); Bharat Singh (Amazon); Mahyar Najibi (University of Maryland); Rama Chellappa (University of Maryland); Larry Davis (University of Maryland)

234. Improving Object Detection from Scratch via Gated Feature Reuse
Zhiqiang Shen (Carnegie Mellon University); Honghui Shi (IBM | UIUC); Jiahui Yu (UIUC); Hai Phan (Carnegie Mellon University); Rogerio Feris (IBM Research AI, MIT-IBM Watson AI Lab); Liangliang Cao (HelloVera); Ding Liu (UIUC); Xinchao Wang (Stevens Institute of Technology); Thomas Huang (UIUC); Marios Savvides (Carnegie Mellon University)

235. Oval Shape Constraint based Optic Disc and Cup Segmentation in Fundus Photographs
Jun Wu (Northwestern Polytechnical University); Kaiwei Wang (Northwestern Polytechnical University); Zongjiang Shang (Northwestern Polytechnical University); Jie Xu (Beijing Tongren Hospital); Dayong Ding (Vistel Inc.); Xirong Li (Renmin University of China); Gang Yang (Renmin University of China)

236. Joint Learning of Attended Zero-Shot Features and Visual-Semantic Mapping
Yanan Li (Zhejiang Lab); Donghui Wang (Zhejiang University)

237. Searching for Ambiguous Objects in Videos using Relational Referring Expressions
Hazan Anayurt (Middle East Technical University); Sezai Artun Ozyegin (Middle East Technical University); Ulfet Cetin (Middle East Technical University); Utku Aktas (Middle East Technical University); Sinan Kalkan (Middle East Technical University)

238. Style-Guided Zero-Shot Sketch-based Image Retrieval
Titir Dutta (Indian Institute of Science, Bangalore); Soma Biswas (Indian Institute of Science, Bangalore)

239. Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss
Saquib Sarfraz (Karlsruhe Institute of Technology); Constantin Seibold (Karlsruhe Institute of Technology); Haroon Khalid (Karlsruhe Institute of Technology); Rainer Stiefelhagen (Karlsruhe Institute of Technology)

240. Adaptive Lighting for Data-Driven Non-Line-of-Sight 3D Localization and Object Identification
Sreenithy Chandran (Arizona State University); Suren Jayasuriya (Arizona State University)

241. Hybrid Deep Network for Anomaly Detection
Trong Nguyen Nguyen (University of Montreal); Jean Meunier (Canada)

242. An Empirical Study on Leveraging Scene Graphs for Visual Question Answering
Cheng Zhang (The Ohio State University); Wei-Lun Chao (Cornell University); Dong Xuan (Ohio State University)

243. Robust Joint Image Reconstruction from Color and Monochrome Cameras
Muxingzi Li (Inria); Peihan Tu (University of Tokyo); Wolfgang Heidrich (KAUST)

244. Semi-supervised Feature-Level Attribute Manipulation for Fashion Image Retrieval
Minchul Shin (Search Solutions Inc.); Sanghyuk Park (Naver clova vision); Taeksoo Kim (Naver Corporation)

245. Fast and Multilevel Semantic-Preserving Discrete Hashing
Wanqian Zhang (Institute of Information Engineering, Chinese Academy of Sciences); Dayan Wu (Institute of Information Engineering, Chinese Academy of Sciences); Jing Liu (Institute of Information Engineering, Chinese Academy of Sciences); Bo Li ( Institute of Information Engineering, Chinese Academy of Sciences); Xiaoyan Gu (Institute of Information Engineering, Chinese Academy of Sciences); Weiping Wang (Institute of Information Engineering, CAS, China); Dan Meng (Institute of Information Engineering, CAS)

246. Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection
Hongkai Zhang (ICT); Hong Chang (Chinese Academy of Sciences); Bingpeng MA (University of Chinese Academy of Sciences); Shiguang Shan (Chinese Academy of Sciences); Xilin Chen (Institute of Computing Technology, Chinese Academy of Sciences)

247. Optimal Multi-view Correction of Local Affine Frames
Iván Eichhardt (MTA SZTAKI); Dániel Baráth (MTA SZTAKI, CMP Prague)

248. Progressive Face Super-Resolution via Attention to Facial Landmark
Deokyun Kim (KAIST); Minseon Kim (KAIST); Gihyun Kwon (KAIST); Daeshik Kim (KAIST)

249. An Unsupervised Subspace Ranking Method for Continuous Emotions in Face Images
Pooyan Balouchian (University of Central Florida); Marjaneh Safaei (University of Central Florida); Xiaochun Cao (Chinese Academy of Sciences); Hassan Foroosh (University of Central Florida)

250. Mining Discriminative Food Regions for Accurate Food Recognition
Jianing Qiu (Imperial College London); Po Wen Lo (Imperial College London); Yingnan Sun (Imperial College London); Siyao Wang (Imperial College London); Benny Lo (Imperial College London)

251. Deep Learning Fusion of RGB and Depth Images for Pedestrian Detection
Zhixin Guo (Ghent University); Wenzhi Liao (Ghent University); Yifan Xiao (Ghent University); Peter Veelaert (UGent); Wilfried Philips (IPI – Ghent University – imec)

252. Deep Learning for Robust end-to-end Tone Mapping
Alexia Briassouli (Maastricht university); Rico Montulet (Maastricht University)

253. Working Hands: A Hand-Tool Assembly Dataset for Image Segmentation and Activity Mining
Roy Shilkrot (Stony Brook University); Supreeth Narasimhaswamy (Stony Brook University); Saif Vazir (Stony Brook University); Minh Hoai Nguyen (Stony Brook University)

254. A Spatiotemporal Pre-processing Network for Activity Recognition under Rain
Minah Lee (Georgia Institute of Technology); Burhan Mudassar (Georgia Institute of Technology); Taesik Na (Georgia Tech); Saibal Mukhopadhyay (Georgia Institute of Technology)

255. BMNet: A Reconstructed Network for Lightweight Object Detection via Branch Merging
Hefei Ling (Huazhong University of Science and Technology); Li Zhang (Huazhong University of Science and Technology); Yangyang Qin (Huazhong University of Science and Technology); Yuxuan Shi (Huazhong University of Science and Technology); Lei Wu (Huazhong University of Science and Technology); Jiazhong Chen (Nil); baiyan zhang (Huazhong University of Science and Technology )

256. An Adaptive Supervision Framework for Active Learning in Object Detection
Sai Vikas Desai (Indian Institute of Technology, Hyderabad); Akshay Chandra Lagandula (Indian Institute Of Technology, Hyderabad); Wei Guo (The University of Tokyo); Seishi Ninomiya (The University of Tokyo); Vineeth N Balasubramanian (Indian Institute of Technology, Hyderabad)

257. Simple vs complex temporal recurrences for video saliency prediction
Panagiotis Linardos (Insight Center for Data Analytics); Eva Mohedano (Insight Center for Data Analytics); Juan Jose Nieto (Insight Center for Data Analytics); Noel O’Connor (Dublin City University (DCU)); Xavier Giro-i-Nieto (Universitat Politecnica de Catalunya); Kevin McGuinness (Insight Centre for Data Analytics)

258. DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation
Gen Li (Sungkyunkwan University); Joongkyu Kim (Sungkyunkwan University)

259. Fast-SCNN: Fast Semantic Segmentation Network
Rudra Poudel (Tosihiba Research Europe); Stephan Liwicki (Toshiba Research Europe Ltd); Roberto Cipolla (University of Cambridge)

260. VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck
Suraj Kumar (Aligarh Muslim University); Aayush Mishra (IIT Mandi); DR. SAIFUL ISLAM (AMU); Aditya Nigam (IIT mandi)

261. An end-to-end deep learning approach for simultaneous background modeling and subtraction
Víctor Mondéjar-Guerra (UDC); Jorge Novo (University of A Coruña); José Rouco (University of A Coruña); Marcos Ortega (University of A Coruña)

262. Attentional demand estimation with attentive driving models
Petar Palasek (MindVisionLabs); Luke Palmer (Mindvisionlabs); Nilli Lavie (University College London; Mind Vision Labs)

263. Tracking the Known and the Unknown by Leveraging Semantic Information
Ardhendu Shekhar Tripathi (ETH Zurich); Martin Danelljan (ETH Zurich); Luc Van Gool (ETH Zurich); Radu Timofte (ETH Zurich)

264. Meta Learning for Unsupervised Clustering
Han-Ul Kim (Korea University); Yeong Jun Koh (Chungnam National University); Chang-Su Kim (Korea university)

265. Adversarial Signboard against Object Detector
YI HUANG (NTU); Kwok-Yan Lam (Nanyang Technological University); Wai-Kin Adams Kong (Nanyang Technological University)

266. Order Matters: Shuffling Sequence Generation for Video Prediction
Junyan Wang (Newcastle University); BingZhang Hu (Newcastle University); Yang Long (Newcastle University); Yu Guan (Newcastle University)

267. Feature Pyramid Encoding Network for Real-time Semantic Segmentation
Mengyu Liu (University of Manchester); Hujun Yin (University of Manchester )

268. Domain Adaptation for Object Detection via Style Consistency
Adrian Lopez Rodriguez (Imperial College London); Krystian Mikolajczyk (Imperial College London)

269. Blind Image Deconvolution using Pretrained Generative Priors
Muhammad Asim (Information Technology University, Lahore); fahad shamshad (Information Technology University, Lahore, Pakistan); Ali Ahmed (Information Technology University)

270. HydraPicker: Fully Automated Particle Picking in Cryo-EM by Utilizing Dataset Bias in Single Shot Detection
Abbas Masoumzadeh (York University); Marcus Brubaker (York University)

271. Rethinking Convolutional Feature Extraction for Small Object Detection
Burhan Mudassar (Georgia Institute of Technology); Saibal Mukhopadhyay (Georgia Tech)

272. Tracking Holistic Object Representations
Axel Sauer (Technical University of Munich); Elie Aljalbout (Technical University of Munich); Sami Haddadin (Technical University of Munich)

273. Enhanced 3D convolutional networks for crowd counting
Zhikang Zou (Huazhong university of science and technology); Huiliang Shao (Huazhong university of science and technology); Xiaoye Qu (Huazhong University of Science and Technology); Wei Wei (Huazhong University of Science and Technology); Pan Zhou ( Huazhong University of Science and Technology)

274. MLGCN: Multi-Laplacian Graph Convolutional Networks for Human Action Recognition
AHMED MAZARI (Sorbonne Universite); Hichem Sahbi (Sorbonne University)

275. Base-detail image inpainting
Ruonan Zhang ( Peng Cheng Laboratory); Yurui Ren (Shenzhen Graduate School, Peking University); Ge Li (SECE, Shenzhen Graduate School, Peking University); Jingfei Qiu (Peng Cheng Laboratory)

276. Single Image Super-Resolution via CNN Architectures and TV-TV Minimization
Marija Vella (Heriot-Watt University ); Joao F.C. Mota (Heriot-Watt University)

277. VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
Cătălina Cangea (University of Cambridge); Eugene Belilovsky (Mila); Aaron Courville (Universite de Montreal)

278. Edge Detection for Event Cameras using Intra-pixel-area Events
Sangil Lee (Seoul National University); Haram Kim (Seoul National University); Hyoun Jin Kim (Seoul National University)

279. PtychoNet: Fast and High Quality Phase Retrieval for Ptychography
Ziqiao Guan (Stony Brook University); Esther Tsai (Brookhaven National Laboratory); Xiaojing Huang (Brookhaven National Laboratory); Kevin Yager (Brookhaven National Laboratory); Hong Qin (Stony Brook University)

280. Image Classification with Hierarchical Multigraph Networks
Boris Knyazev (University of Guelph); Xiao Lin (SRI International); Mohamed Amer (RobustAI); Graham Taylor (University of Guelph)

281. Multi-Grained Spatio-temporal Modeling for Lip-reading
Chenhao Wang (Institute of Computing Technology, Chinese Academy of Sciences)

282. Generalised Visual Microphone
Juhyun Ahn (SUALAB)

16:15 — 18:15   Oral Presentations: Objects, Segmentation, Textures, and Colours Sir Martin Evans Building

283. Sensor-Independent Illumination Estimation for DNN Models
Mahmoud Afifi (York University); Michael Brown (York University)

284. Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior
Thomas Gittings (University of Surrey); Steve Schneider (University of Surrey); John Collomosse (University of Surrey)

285. Towards Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes
Haiyan Wang (The City College of New York); Xuejian Rong (The City College, City University of New York); Liang Yang (The City College Of New York); YingLi Tian (City University of New York)

286. Orthographic Feature Transform for Monocular 3D Object Detection
Thomas Roddick (Department of Engineering, University of Cambridge); Alex Kendall (Cambridge University); Roberto Cipolla (University of Cambridge)

287. Texel-Att: Representing and Classifying Element-Based Textures by Attributes
Marco Godi (University of Verona); Christian Joppi (University of Verona); Andrea Giachetti (TBA); Fabio Pellacini (Sapienza University of Rome); Marco Cristani (University of Verona)

288. Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss
Saquib Sarfraz (Karlsruhe Institute of Technology); Constantin Seibold (Karlsruhe Institute of Technology); Haroon Khalid (Karlsruhe Institute of Technology); Rainer Stiefelhagen (Karlsruhe Institute of Technology)

289. An Empirical Study on Leveraging Scene Graphs for Visual Question Answering
Cheng Zhang (The Ohio State University); Wei-Lun Chao (Cornell University); Dong Xuan (Ohio State University)

290. Fast-SCNN: Fast Semantic Segmentation Network
Rudra Poudel (Tosihiba Research Europe); Stephan Liwicki (Toshiba Research Europe Ltd); Roberto Cipolla (University of Cambridge)

19:00 — 20:45   Banquet National Museum Cardiff


Thursday 12th September

08:00 — 09:00   Registration

09:00 — 10:00   Keynote Sir Martin Evans Building

Dissecting Neural Nets
Prof. Antonio Torralba (MIT)

10:00 — 11:00   Oral Presentations: Motion and Flow Sir Martin Evans Building

291. Relation-aware Multiple Attention Siamese Networks for Robust Visual Tracking
Fangyi Zhang (Chinese Academy of Sciences); Bingpeng MA (University of Chinese Academy of Sciences); Hong Chang (Chinese Academy of Sciences); Shiguang Shan (Chinese Academy of Sciences); Xilin Chen (Institute of Computing Technology, Chinese Academy of Sciences)

292. Spatial Transformer Spectral Kernels for Deformable Image Registration
Ebrahim Al Safadi (Oregon Health and Science University); Prof. Prof Xubo Song Oregon Health and Science U Machine Learning ImageProc ECG MRI W. (“Respected member, IPC, ICIEV”)

293. Tracking the Known and the Unknown by Leveraging Semantic Information
Ardhendu Shekhar Tripathi (ETH Zurich); Martin Danelljan (ETH Zurich); Luc Van Gool (ETH Zurich); Radu Timofte (ETH Zurich)

294. Tracking Holistic Object Representations
Axel Sauer (Technical University of Munich); Elie Aljalbout (Technical University of Munich); Sami Haddadin (Technical University of Munich)

11:00 — 11:45   Tea Break SU, Great Hall

11:45 — 13:15   Oral Presentations: Video Analysis Sir Martin Evans Building

295. Geometry-Aware Video Object Detection for Static Cameras
Dan Xu (University of Oxford); Weidi Xie (University of Oxford); Andrew Zisserman (University of Oxford)

296. Spatio-temporal Relational Reasoning for Video Question Answering
Gursimran Singh (University of British Columbia); Leonid Sigal (University of British Columbia); Jim Little (University of British Columbia, Canada)

297. Mutual Suppression Network for Video Prediction using Disentangled Features
Jungbeom Lee (Seoul National University); Jangho Lee (Seoul National University); Sungmin Lee (Seoul National University); Sungroh Yoon (Seoul National University)

298. Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace
Dimitrios Kollias (Imperial College London); Stefanos Zafeiriou (Imperial College Londong)

299. Forecasting Future Action Sequences with Neural Memory Networks
Harshala Gammulle (Queensland University of Technology); SIMON DENMAN (Queensland University of Technology, Australia); Sridha Sridharan (QUT); Clinton Fookes (Queensland University of Technology)

300. Self-supervised Video Representation Learning for Correspondence Flow
Zihang Lai (University of Oxford); Weidi Xie (University of Oxford)

13:15 — 14:00   Lunch SU, Great Hall

14:00 — 15:45   Workshops Sir Martin Evans Building

15:45 — 16:30   Tea Break SU, Great Hall

16:30 — 18:00   Workshops Sir Martin Evans Building