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| Monday 3rd September | |
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| 12:00 | Registration, Students Union |
| 13:15 - 13:30 | Welcome, Students Union |
| 13:30 - 14:30 | Tutorial 1, Students Union Knowledge transfer and human-machine collaboration for training visual models. Vittorio Ferrari (University of Edinburgh, Google Research) |
| 14:30 - 15:30 | Tutorial 2, Students Union Towards action understanding with less supervision. Ivan Laptev (INRIA Paris) |
| 15:30 - 16:15 | Tea Break, Students Union |
| 16:15 - 17:15 | Tutorial 3, Students Union Supersizing and Empowering Visual Learning. Abhinav Gupta (Carnegie Mellon University) |
| 17:15 - 18:15 | Tutorial 4, Students Union Explaining and Representing Novel Concepts With Minimal Supervision. Zeynep Akata (University of Amsterdam) |
| 18:15 - 18:30 | Instructions, Students Union |
| 19:00 - 21:30 | Reception, Civic Centre |
| Tuesday 4th September | |
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| 7:30 - 7:45 | Registration, Students Union |
| 7:45 - 8:15 | Coffee & Pastry, Students Union |
| 8:15 - 8:30 | Welcome, Students Union |
| 8:30 - 10:00 | Orals 1, Students Union: 3D Computer Vision Chair: Tim Cootes |
| 1. | Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision Paul Henderson*, University of Edinburgh; Vittorio Ferrari, University of Edinburgh [PDF] | |
| 2. | LieNet: Real-time Monocular Object Instance 6D Pose Estimation Thanh-Toan Do*, The University of Adelaide; Trung Pham, The University of Adelaide; Ming Cai, The University of Adelaide; Ian Reid, "University of Adelaide, Australia" [PDF] | |
| 3. | Scene Coordinate and Correspondence Learning for Image-Based Localization Mai Bui*, TUM; Shadi Albarqouni, Technische Universität München, Germany; Slobodan Ilic, Siemens AG; Nassir Navab, "TU Munich, Germany" [PDF] | |
| 4. | Non-smooth M-estimator for Maximum Consensus Estimation Huu Le*, University of Adelaide; Anders Eriksson, QUT; Thanh-Toan Do, The University of Adelaide; Tat-Jun Chin, University of Adelaide; David Suter, University of Adelaide [PDF] [SUPP] | |
| 5. | Deep Network for Simultaneous Stereo Matching and Dehazing Taeyong Song, Yonsei University; Youngjung Kim, Yonsei Univ.; Changjae Oh, Queen Mary University of London; Kwanghoon Sohn *, Yonsei Univ. [PDF] | |
| 6. | SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data Qi Chen, Johns Hopkins University; Weichao Qiu, Johns Hopkins University; Yi Zhang, Johns Hopkins University; Lingxi Xie*, JHU; Alan Yuille, Johns Hopkins University [PDF] |
| 10:00 - 10:45 | Tea Break, Students Union |
| 10:45 - 11:45 | Keynote 1, Students Union People Search In Large Scale Videos. Shaogang (Sean) Gong (Queen Mary University of London) Chair: Tim Hospedales |
| 11:45 - 12:30 | Spotlights 1, Students Union |
| 7. | Inductive Visual Localisation: Factorised Training for Superior Generalisation Ankush Gupta (University of Oxford)*; Andrea Vedaldi (Oxford University); Andrew Zisserman (University of Oxford) [PDF] [SUPP] | |
| 8. | Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text Mingda Zhang (University of Pittsburgh)*; Rebecca Hwa (University of Pittsburgh); Adriana Kovashka (University of Pittsburgh) [PDF] | |
| 9. | Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification Shan Lin (University of Warwick)*; Haoliang Li (Nanyang Technological University); Chang-Tsun Li (Charles Sturt University); Alex Kot (Nanyang Technological University) [PDF] [Video] | |
| 10. | EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks Umar Asif (IBM Research)*; Jianbin Tang (IBM Research); Stefan Harrer (IBM Research) [PDF] [Video] | |
| 11. | Motion Estimation and Segmentation of Natural Phenomena Da Chen (University of Bath)*; Wenbin Li (Imperial College London); Peter Hall (University of Bath) [PDF] [SUPP] [Video] | |
| 12. | VSE++: Improving Visual-Semantic Embeddings with Hard Negatives Fartash Faghri (University of Toronto)*; David Fleet (University of Toronto); Jamie Kiros (Google Inc.); Sanja Fidler (University of Toronto) [PDF] [SUPP] [Video] | |
| 13. | Learning to Doodle with Stroke Demonstrations and Deep Q-Networks Tao Zhou (UCLA)*; CHEN FANG (Adobe Research, San Jose, CA); Zhaowen Wang (Adobe Research); Jimei Yang (Adobe); Byungmoon Kim (Adobe Systems Inc.); Zhili Chen (Adobe Research); Jonathan Brandt (-); Demetri Terzopoulos (University of California, Los Angeles) [PDF] [Video] [ZIP] | |
| 14. | Propagating Confidences through CNNs for Sparse Data Regression Abdelrahman Eldesokey (Linköping University)*; Michael Felsberg (Linköping University); Fahad Shahbaz Khan (Linköping University) [PDF] [Video] | |
| 15. | Recognition self-awareness for active object recognition on depth images Andrea Roberti (University of Verona); Marco Carletti (University of Verona); Francesco Setti (University of Verona)*; Umberto Castellani (University of Verona ); Paolo Fiorini (N/A); Marco Cristani (University of Verona) [PDF] [Video] | |
| 16. | Open Logo Detection Challenge Hang Su (Queen Mary University of London)*; Xiatian Zhu (Queen Mary University, London, UK); Shaogang Gong (Queen Mary University of London) [PDF] [Video] |
| 12:30 - 14:00 | Lunch, Civic Centre |
| 14:00 - 16:15 | Posters 1, Students Union |
| 17 - 26 Correspond to Tuesday Spotlights 1 | ||
| 17. | Inductive Visual Localisation: Factorised Training for Superior Generalisation Ankush Gupta (University of Oxford)*; Andrea Vedaldi (Oxford University); Andrew Zisserman (University of Oxford) [PDF] [SUPP] | |
| 18. | Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text Mingda Zhang (University of Pittsburgh)*; Rebecca Hwa (University of Pittsburgh); Adriana Kovashka (University of Pittsburgh) [PDF] | |
| 19. | Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification Shan Lin (University of Warwick)*; Haoliang Li (Nanyang Technological University); Chang-Tsun Li (Charles Sturt University); Alex Kot (Nanyang Technological University) [PDF] [Video] | |
| 20. | EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks Umar Asif (IBM Research)*; Jianbin Tang (IBM Research); Stefan Harrer (IBM Research) [PDF] [Video] | |
| 21. | Motion Estimation and Segmentation of Natural Phenomena Da Chen (University of Bath)*; Wenbin Li (Imperial College London); Peter Hall (University of Bath) [PDF] [SUPP] [Video] | |
| 22. | VSE++: Improving Visual-Semantic Embeddings with Hard Negatives Fartash Faghri (University of Toronto)*; David Fleet (University of Toronto); Jamie Kiros (Google Inc.); Sanja Fidler (University of Toronto) [PDF] [SUPP] [Video] | |
| 23. | Learning to Doodle with Stroke Demonstrations and Deep Q-Networks Tao Zhou (UCLA)*; CHEN FANG (Adobe Research, San Jose, CA); Zhaowen Wang (Adobe Research); Jimei Yang (Adobe); Byungmoon Kim (Adobe Systems Inc.); Zhili Chen (Adobe Research); Jonathan Brandt (-); Demetri Terzopoulos (University of California, Los Angeles) [PDF] [Video] [ZIP] | |
| 24. | Propagating Confidences through CNNs for Sparse Data Regression Abdelrahman Eldesokey (Linköping University)*; Michael Felsberg (Linköping University); Fahad Shahbaz Khan (Linköping University) [PDF] [Video] | |
| 25. | Recognition self-awareness for active object recognition on depth images Andrea Roberti (University of Verona); Marco Carletti (University of Verona); Francesco Setti (University of Verona)*; Umberto Castellani (University of Verona ); Paolo Fiorini (N/A); Marco Cristani (University of Verona) [PDF] [Video] | |
| 26. | Open Logo Detection Challenge Hang Su (Queen Mary University of London)*; Xiatian Zhu (Queen Mary University, London, UK); Shaogang Gong (Queen Mary University of London) [PDF] [Video] | |
| 27 - 32 Correspond to Tuesday Orals 1 | ||
| 27. | Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision Paul Henderson (University of Edinburgh)*; Vittorio Ferrari (Google Research) [PDF] | |
| 28. | SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data Qi Chen (Johns Hopkins University); Weichao Qiu (Johns Hopkins University); Yi Zhang (Johns Hopkins University); Lingxi Xie (JHU)*; Alan Yuille (Johns Hopkins University) [PDF] | |
| 29. | Scene Coordinate and Correspondence Learning for Image-Based Localization Mai Bui (TUM)*; Shadi Albarqouni (Technische Universität München, Germany); Slobodan Ilic (Siemens AG); Nassir Navab ("TU Munich, Germany") [PDF] | |
| 30. | Non-smooth M-estimator for Maximum Consensus Estimation Huu Minh Le (Queensland University of Technology)*; Anders Eriksson (QUT); Michael Milford (ACRV and QUT, Australia); Thanh-Toan Do (The University of Adelaide); Tat-Jun Chin (University of Adelaide); David Suter (University of Adelaide) [PDF] [SUPP] | |
| 31. | LieNet: Real-time Monocular Object Instance 6D Pose Estimation Thanh-Toan Do (The University of Adelaide)*; Trung Pham (NVIDIA); Ming Cai (The University of Adelaide); Ian Reid ("University of Adelaide, Australia") [PDF] | |
| 32. | Deep Network for Simultaneous Stereo Matching and Dehazing Taeyong Song (Yonsei University); Youngjung Kim (Yonsei Univ.); Changjae Oh (Queen Mary University of London); Kwanghoon Sohn (Yonsei Univ.)* [PDF] | |
| 33 - 39 Correspond to Tuesday Orals 2 | ||
| 33. | BAM: Bottleneck Attention Module Jongchan Park (KAIST)*; Sanghyun Woo (KAIST); Joon-Young Lee (Adobe Research); In So Kweon (KAIST) [PDF] | |
| 34. | Three for one and one for three: Flow, Segmentation, and Surface Normals Hoang-An Le (University of Amsterdam)*; Anil S Baslamisli (University of Amsterdam); Thomas Mensink (UvA); Theo Gevers (University of Amsterdam) [PDF] | |
| 35. | ContextNet: Exploring Context and Detail \\for Semantic Segmentation in Real-time Rudra P K Poudel (Tosihiba Research Europe)*; Ujwal Bonde (Toshiba Research); Stephan Liwicki (Toshiba Research Europe Ltd); Christopher Zach (Toshiba Research) [PDF] | |
| 36. | Efficient Progressive Neural Architecture Search Juan-Manuel Perez-Rua (Orange Labs)*; Moez Baccouche (Orange Labs); Stephane Pateux (Orange Labs) [PDF] | |
| 37. | Learning on the Edge: Explicit Boundary Handling in CNNs Carlo Innamorati (University College London)*; Niloy Mitra (University College London) [PDF] [ZIP] | |
| 38. | Structured Probabilistic Pruning for Convolutional Neural Network Acceleration "Huan Wang (Zhejiang University); Qiming Zhang (Zhejiang University); Yuehai Wang (Zhejiang University); Haoji Hu (ZJU)*" [PDF] [SUPP] | |
| 39. | RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk (Boston University)*; Abir Das (Boston University); Kate Saenko (Boston University) [PDF] [SUPP] | |
| | ||
| 40. | Asymmetric Geodesic Distance Propagation for Active Contours Da CHEN (University Paris Dauphine)*; Jack A Spencer (University of Liverpool); Jean-Marie Mirebeau (University Paris-Sud, University Paris-Saclay); Ke Chen (United Kingdom); Laurent Cohen (University Paris Dauphine) [PDF] | |
| 41. | iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection Chen Gao (Virginia Tech)*; Yuliang Zou (Virginia Tech); Jia-Bin Huang (Virginia Tech) [PDF] | |
| 42. | Parallel Separable 3D Convolution for Video and Volumetric Data Understanding Felix Gonda (Harvard University)*; Donglai Wei (Harvard/SEAS); Toufiq Parag (Harvard University); hanspeter pfister (harvard university) [PDF] [SUPP] | |
| 43. | Semantic Embedding for Sketch-Based 3D Shape Retrieval Anran Qi (Queen Mary University of London)*; Yi-Zhe Song (Queen Mary University of London); Tao Xiang (Queen Mary, University of London, UK) [PDF] | |
| 44. | Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment Jia Guo (DeepInsight); Jiankang Deng (Imperial College London)*; Niannan Xue (Imperial College London); Stefanos Zafeiriou (Imperial College Londong) [PDF] | |
| 45. | Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling Donggyu Joo (KAIST)*; Junho Yim (Korea Advanced Institute of Science and Technology); Junmo Kim (KAIST) [PDF] | |
| 46. | Mass Displacement Networks Natalia Neverova (Facebook AI Research)*; Iasonas Kokkinos (Facebook AI Research) [PDF] [SUPP] | |
| 47. | Efficient Correction for EM Connectomics with Skeletal Representation Konstantin Dimitriev (SUNY, Stony Brook, NY); Toufiq Parag (Harvard University)*; Brian Matejek (Harvard University ); Arie Kaufman (Stony Brook University); Hanspeter Pfister (Harvard University) [PDF] | |
| 48. | Deep Association Learning for Unsupervised Video Person Re-identification Yanbei Chen (Queen Mary University of London)*; Xiatian Zhu (Queen Mary University, London, UK); Shaogang Gong (Queen Mary University of London) [PDF] | |
| 49. | Estimating small differences in car-pose from orbits Berkay Kicanaoglu (University of Amsterdam)*; Ran Tao (University of Amsterdam); Arnold W.M. Smeulders (University of Amsterdam) [PDF] | |
| 50. | Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction Luowei Zhou (University of Michigan)*; Nathan Louis (University of Michigan); Jason J Corso (University of Michigan) [PDF] | |
| 51. | Improving Image Clustering With Multiple Pretrained CNN Feature Extractors Joris Guerin (ENSAM)*; Byron Boots (Georgia Institute of Technology) [PDF] | |
| 52. | Informed Democracy: Voting-based Novelty Detection for Action Recognition Alina Roitberg (KIT)*; Ziad Al-Halah (KIT); Rainer Stiefelhagen (Karlsruhe Institute of Technology) [PDF] | |
| 53. | Pose Flow: Efficient Online Pose Tracking Yuliang Xiu (Shanghai Jiao Tong University)*; Jiefeng Li (Shanghai Jiao Tong University); Haoyu Wang (Shanghai Jiao Tong University ); Yinghong Fang (Shanghai Jiao Tong University); Cewu Lu (Shanghai Jiao Tong University) [PDF] | |
| 54. | Conditional Kronecker Batch Normalization for Compositional Reasoning "Cheng Shi (Tsinghua University)*; Chun Yuan (Tsinghua University); Jiayin Cai (Xi'an Jiaotong University); Zhuobin Zheng ( Tsinghua University); YangYang Cheng (Tsinghua University); Zhihui Lin (Tsinghua University)" [PDF] | |
| 55. | 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image Priyanka Mandikal (Indian Institute of Science)*; Navaneet K L (Indian Institute of Science); Mayank Agarwal (BITS Pilani); Venkatesh Babu RADHAKRISHNAN (Indian Institute of Science) [PDF] [SUPP] | |
| 56. | Zero-Shot Object Detection by Hybrid Region Embedding Berkan Demirel (HAVELSAN Inc. & METU); Ramazan Gokberk Cinbis (METU)*; Nazli Ikizler-Cinbis (Hacettepe University) [PDF] | |
| 57. | Story Understanding in Video Advertisements Keren Ye (University of Pittsburgh)*; Kyle Buettner (University of Pittsburgh); Adriana Kovashka (University of Pittsburgh) [PDF] | |
| 58. | Not All Words Are Equal: Video-specific Information Loss for Video Captioning Jiarong Dong (Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China); Ke Gao (Institute of Computing Technology, Chinese )*; Xiaokai Chen (Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China); junbo guo (ICT); Juan Cao (Institute of Computing Technology, Chinese); Yongdong Zhang (Chinese Academy of Sciences) [PDF] | |
| 59. | Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages Yuxi Li (Shanghai Jiao Tong University)*; Jiuwei Li (Intel Labs); Weiyao Lin (Shanghai Jiaotong University); Jianguo Li (Intel Labs) [PDF] | |
| 60. | Incremental Tube Construction for Human Action Detection Harkirat Singh Behl (IIT Kanpur)*; Michael Sapienza (Samsung Research America); Gurkirt Singh (Oxford Brookes University); Suman Saha (Oxford Brookes University); Fabio Cuzzolin (Oxford Brookes University); Philip Torr (University of Oxford) [PDF] [SUPP] [Video] | |
| 61. | Training Student Networks for Acceleration with Conditional Adversarial Networks Zheng Xu (Univ. of Maryland)*; Yen-Chang Hsu (Georgia Institute of Technology); Jiawei Huang (Honda Research) [PDF] | |
| 62. | Super-resolution of Very Low Resolution Faces from Videos "Esra Ataer-Cansizogle (MERL); Michael Jones (MERL)" [PDF] | |
| 63. | Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model Xiaomeng Li (The Chinese University of Hong Kong)*; Lequan Yu (The Chinese University of Hong Kong); Hao Chen (The Chinese University of Hong Kong); Chi-Wing Fu (The Chinese University of Hong Kong); Pheng-Ann Heng (The Chinese Univsersity of Hong Kong) [PDF] | |
| 64. | Metric Learning for Novelty and Anomaly Detection Marc Masana (Computer Vision Center)*; Idoia Ruiz (Computer Vision Center); Joan Serrat (Computer Vision Center); Joost van de Weijer (Computer Vision Center); Antonio M. Lopez (CVC & UAB) [PDF] [SUPP] | |
| 65. | Adversarial Learning for Semi-supervised Semantic Segmentation Wei-Chih Hung (University of California, Merced)*; Yi-Hsuan Tsai (NEC Labs America); Yan-Ting Liou (National Taiwan University); Yen-Yu Lin (Academia Sinica); Ming-Hsuan Yang (University of California at Merced) [PDF] [SUPP] | |
| 66. | Dynamic Super-Rays for Efficient Light Field Video Processing Matthieu Hog (Technicolor)*; Neus Sabater (Technicolor); Christine Guillemot (INRIA) [PDF] [SUPP] [Video-1] [Video-2] [Video-3] [Video-4] [Video-5] [Video-6] [Video-7] [Video-8] | |
| 67. | Holistic and Deep Feature Pyramids for Saliency Detection Shizhong Dong (Shenzhen Institutes of Advanced Technology); Zhifan Gao (University of Western Ontario); Shanhui Sun (CuraCloud); xin wang (CuraCloud); ming li (Shenzhen Institutes of Advanced Technology); heye zhang (Shenzhen Institutes of Advanced Technology)*; Guang Yang (Imperial College London); Huafeng Liu (Zhejiang University); Shuo Li (University of Western Ontario) [PDF] | |
| 68. | Sparse Estimation of Light Transport Matrix under Saturated Condition Naoya Chiba (Graduate School of Information Science, Tohoku University)*; Koichi Hashimoto (Graduate School of Information Science, Tohoku University) [PDF] | |
| 69. | Synthetic View Generation for Absolute Pose Regression and Image Synthesis Pulak Purkait (Toshiba Research Europe Ltd)*; Cheng Zhao (Birmingham University); Christopher Zach (Toshiba Research) [PDF] [SUPP] | |
| 70. | Self-supervised Deep Multiple Choice Learning Network for Blind Image Quality Assessment Kwan-Yee Lin (Peking university)*; Guanxiang Wang (Peking University) [PDF] | |
| 71. | Classifier Two Sample Test for Video Anomaly Detections Yusha Liu (Carnegie Mellon University)*; Chun-Liang Li (Carnegie Mellon University); Barnabas Poczos ( Carnegie Mellon University) [PDF] [SUPP] | |
| 72. | A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images Siddharth Mahendran (Johns Hopkins University)*; Haider Ali (Johns Hopkins University); Rene Vidal (Johns Hopkins University) [PDF] [SUPP] | |
| 73. | Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption Peilun Li (Carnegie Mellon University)*; XIAODAN LIANG (Carnegie Mellon University); Daoyuan Jia (Carnegie Mellon University); Eric Xing (CMU) [PDF] [SUPP] | |
| 74. | Classification-Based Supervised Hashing with Complementary Networks for Image Search Dong-ju Jeong (Seoul National University)*; Sungkwon Choo (Seoul National University); Wonkyo Seo (Seoul National University); Nam Ik Cho (Seoul National University) [PDF] | |
| 75. | Semantic Localisation via Globally Unique Instance Segmentation Ignas Budvytis (Department of Engineering, University of Cambridge)*; Patrick Sauer (Toyota Motor Europe); Roberto Cipolla (University of Cambridge) [PDF] [SUPP] [Video-1] [Video-2] [Video-3] [Video-4] | |
| 76. | MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis Hyojin Park (Seoul National University)*; Youngjoon Yoo (Clova AI Research, NAVER Corp. ); Nojun Kwak (Seoul National University) [PDF] [SUPP] | |
| 77. | InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset Wenbin Li (Imperial College London)*; Sajad Saeedi (Imperial College London); John McCormac (Imperial College London); Ronald Clark (Imperial College London); Dimos Tzoumanikas (Imperial College London); Qing Ye (kujiale.com); Yuzhong Huang (University of Southern California); Rui Tang (kujiale.com); Stefan Leutenegger (Imperial College London) [PDF] | |
| 78. | In Defense of Single-column Networks for Crowd Counting Ze Wang (Beihang University)*; Zehao Xiao (Beihang University); Kai Xie (Institute of North Electronic Equipment); Qiang Qiu (Duke University); Xiantong Zhen (Beihang University); Xianbin Cao (Beihang University, China) [PDF] | |
| 79. | Few-Shot Semantic Segmentation with Prototype Learning Nanqing Dong (Cornell University)*; Eric Xing (Petuum Inc.) [PDF] | |
| 80. | SymmNet: A Symmetric Convolutional Neural Network for Occlusion Detection Ang Li (Xi‘an Jiaotong University)*; Zejian Yuan (Xi‘an Jiaotong University) [PDF] | |
| 81. | Joint Holistic and Partial CNN for Pedestrian Detection Yun Zhao (Xi'an Jiaotong University)*; Zejian Yuan (Xi‘an Jiaotong University); Hui Zhang (Shenzhen Forward Innovation Digital Technology Co. Ltd. China) [PDF] | |
| 82. | Think and Tell: Preview Network for Image Captioning Zhihao Zhu (Xi'an Jiaotong University)*; zhan xue (Xi'an Jiaotong university ); Zejian Yuan (Xi‘an Jiaotong University) [PDF] | |
| 83. | Adaptive Multi-Scale Information Flow for Object Detection Xiaoyu Chen (University of Electronic Science and Technology of China)*; Wei Li (University of Electronic Science and Technology of China); Qingbo Wu (University of Electronic Science and Technology of China); Fanman Meng (University of Electronic Science and Technology of China) [PDF] | |
| 84. | Visual Heart Rate Estimation with Convolutional Neural Network Radim Spetlik (Center for Machine Perception)*; Vojtech Franc (Center for Machine Perception); Jan Cech (Czech Technical University); Jiri Matas (CMP CTU FEE) [PDF] | |
| 85. | Visually-Driven Semantic Augmentation for Zero-Shot Learning Abhinaba Roy (Istituto Italiano di Tecnologia)*; Jacopo Cavazza (Istituto Italiano di Tecnologia); Vittorio Murino (Istituto Italiano di Tecnologia) [PDF] | |
| 86. | ProFlow: Learning to Predict Optical Flow Daniel Maurer (University of Stuttgart)*; Andrés Bruhn (University of Stuttgart) [PDF] [SUPP] | |
| 87. | Deep Collaborative Tracking Networks Xiaolong Jiang (Beihang Unviersity)*; Xiantong Zhen (Beihang University); Baochang Zhang (Beihang University); Jian Yang (Insitute of North Electronic Equipment); Xianbin Cao (Beihang University, China) [PDF] | |
| 88. | Adaptive Time-Slice Block-Matching Optical Flow Algorithm for Dynamic Vision Sensors Min Liu (Institute of Neuroinformatics)*; Tobi Delbruck (Nil) [PDF] [Video] | |
| 89. | Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid Di Kang (City University of Hong Kong)*; Antoni Chan (City University of Hong Kong, Hong, Kong) [PDF] [SUPP] | |
| 90. | Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios Juil Sock (Imperial College London)*; Kwang In Kim (University of Bath); Caner Sahin (Imperial College London); Tae-Kyun Kim (Imperial College London) [PDF] | |
| 91. | Deep active learning for object detection Soumya Roy (IIT, Kanpur)*; Asim Unmesh (IIT, Kanpur); Vinay P Namboodiri (IIT Kanpur) [PDF] | |
| 92. | OriNet: A Fully Convolutional Network for 3D Human Pose Estimation Chenxu Luo (Johns Hopkins University)*; Xiao Chu (Baidu Research (USA)); Alan Yuille (Johns Hopkins University) [PDF] | |
| 93. | Towards Light-weight Annotations: Fuzzy Interpolative Reasoning for Zero-shot Image Classificaiton Yang Long (Newcastle University)*; Yao Tan (Northumbria University); Daniel Organisciak (Northumbria University); Longzhi Yang (Northumbria); Ling Shao (Inception Institute of Artificial Intelligence) [PDF] | |
| 94. | Recurrent Multi-frame Single Shot Detector for Video Object Detection "Alex Broad (University of Northwestern); Michael Jones (MERL)*; Teng-Yok Lee (Mitsubishi Electric Research Laboratories (MERL))" [PDF] [SUPP] [Video] | |
| 95. | Persuasive Faces: Generating Faces in Advertisements Christopher L Thomas (University of Pittsburgh)*; Adriana Kovashka (University of Pittsburgh) [PDF] [SUPP] | |
| 96. | The Multiscale Bowler-Hat Transform for Vessel Enhancement in 3D Biomedical Images Cigdem Sazak (Durham University); Carl J. Nelson (Glasgow University); Boguslaw Obara (Durham University)* [PDF] | |
| 97. | SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting Yuhang Song (USC)*; Chao Yang (University of Southern California); Yeji Shen (University of Southern California); Peng Wang (Baidu USA LLC); Qin Huang (University of Southern California); C.-C. Jay Kuo (USC) [PDF] | |
| 98. | Exemplar-Supported Generative Reproduction for Class Incremental Learning Chen He (Institute of Computing Technology, Chinese Academy of Sciences); Ruiping Wang (ICT, CAS)*; Shiguang Shan (Chinese Academy of Sciences); Xilin Chen (China) [PDF] [SUPP] | |
| 99. | GAN-based Semi-supervised Learning On Fewer Labeled Samples Takumi Kobayashi (National Institute of Advanced Industrial Science and Technology)* [PDF] | |
| 100. | Generative Adversarial Guided Learning for Domain Adaptation Kai-Ya Wei (National Tsing Hua University); Chiou-Ting Hsu (National Tsing Hua University)* [PDF] [SUPP] | |
| 101. | IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks Ke Sun (University of Science and Technology of China)*; Mingjie Li (University of Science and Technology of China); Dong Liu (University of Science and Technology of China); Jingdong Wang (Microsoft Research) [PDF] | |
| 102. | Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery Suriya Singh (IIIT)*; Anil Batra (IIIT); Guan Pang (Facebook); Lorenzo Torresani (Dartmouth College); Saikat Basu (Facebook); Manohar Paluri (Facebook); C.V. Jawahar (IIIT-Hyderabad) [PDF] | |
| 103. | Active Learning for Regression Tasks with Expected Model Output Changes Christoph Käding (Computer Vision Group, Friedrich Schiller University Jena, Germany)*; Erik Rodner (Carl Zeiss AG, Jena, Germany); Alexander Freytag (Carl Zeiss AG, Jena, Germany); Oliver Mothes (Computer Vision Group, Friedrich Schiller University Jena, Germany); Björn Barz (Computer Vision Group, Friedrich Schiller University Jena); Joachim Denzler (Computer Vision Group, Friedrich Schiller University Jena, Germany) [PDF] [SUPP] [Video] | |
| 104. | A Quantitative Platform for Non-Line-of-Sight Imaging Problems Jonathan Klein (University of Bonn)*; Martin Laurenzis (French-German Research Institute of Saint-Louis (ISL)); Dominik Michels (King Abdullah University of Science and Technology (KAUST)); Matthias B Hullin (University of Bonn) [PDF] [SUPP] | |
| 105. | Few-shot learning of neural networks from scratch by pseudo example optimization Akisato Kimura (NTT Communication Science Laboratories)*; Zoubin Ghahramani (University of Cambridge); Koh Takeuchi (NTT); Tomoharu Iwata (NTT Communication Science Laboratories); Naonori Ueda (NTT) [PDF] | |
| 106. | Directional Priors for Multi-Frame Optical Flow Daniel Maurer (University of Stuttgart)*; Michael Stoll (University of Stuttgart); Andrés Bruhn (University of Stuttgart) [PDF] [SUPP] | |
| 107. | Wide Range Depth Estimation from Binocular Light Field Camera feng dai (ICT); Xianyu Chen (Institute of Computing Technology, Chinese Academy of Science); Yike Ma (ICT); Guoqing Jin (ICT); Qiang Zhao (The Institute of Computing Technology of the Chinese Academy of Sciences)* [PDF] | |
| 108. | CaloriNet: From silhouettes to calorie estimation in private environments Alessandro Masullo (University of Bristol)*; Tilo Burghardt (University of Bristol); Dima Damen (University of Bristol); Sion Hannuna (University of Bristol); Víctor Ponce-López (University of Bristol); Majid Mirmehdi (University of Bristol) [PDF] | |
| 109. | Identity Preserving Face Completion for Large Ocular Region Occlusion Yajie Zhao (USC Institute for Creative Technology )*; Weikai Chen (USC Institute for Creative Technology); Jun Xing (Institute for Creative Technologies, USC); Xiaoming Li (Harbin Institute of Technology); Zach Bessinger (University of Kentucky); Fuchang Liu (Hangzhou Normal University); Wangmeng Zuo (Harbin Institute of Technology); Ruigang Yang (University of Kentucky, USA) [PDF] | |
| 110. | ESTHER: Extremely Simple Image Translation Through Self-Regularization Chao Yang (University of Southern California)*; Taehwan Kim (ObEN, Inc.); Ruizhe Wang (ObEN, Inc.); Hao Peng (ObEN, Inc.); C.-C. Jay Kuo (USC) [PDF] | |
| 111. | Multicolumn Networks for Face Recognition Weidi Xie (University of Oxford)*; Andrew Zisserman (University of Oxford) [PDF] | |
| 112. | Progressive Attention Networks for Visual Attribute Prediction Paul Hongsuck Seo (POSTECH)*; Zhe Lin (Adobe Research); Scott Cohen (Adobe Research); Xiaohui Shen (Adobe Research); Bohyung Han (Seoul National University) [PDF] [SUPP] | |
| 113. | Cross-Class Sample Synthesis for Zero-shot Learning Jinlu Liu (Renmin University of China); Xirong Li (Renmin University of China); Gang Yang (Renmin University of China)* [PDF] | |
| 114. | Shadow Detection Using Robust Texture Learning Tianxiang Pan (Tsinghua University)*; Bin Wang (Tsinghua University); guiguang ding (Tsinghua University, China); JunHai Yong (Tsinghua University) [PDF] | |
| 115. | DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis Mingyu Ding (Renmin University of China); Yuqi Huo (Renmin University of China); Jun Hu (School of Information, Renmin University of China); Zhiwu Lu (Renmin University of China)* [PDF] | |
| 116. | SurReal: enhancing Surgical simulation Realism using style transfer Imanol Luengo (Touch Surgery)*; Evangello Flouty (Digital Surgery); Petros Giataganas (Touch Surgery); Piyamate Wisanuvej (Digital Surgery); Jean Nehme (Digital Surgery); Danail Stoyanov (Touch Surgery) [PDF] [Video] [ZIP] | |
| 117. | Guided Upsampling Network for Real-Time Semantic Segmentation Davide Mazzini (University of Milano-Bicocca)* [PDF] | |
| 118. | Point Attention Network for Gesture Recognition Using Point Cloud Data Cherdsak Kingkan (Graduate School of Information Sciences, Tohoku University)*; Joshua Owoyemi (Graduate School of Information Science, Tohoku University); Koichi Hashimoto (Graduate School of Information Science, Tohoku University) [PDF] | |
| 119. | A Decomposed Dual-Cross Generative Adversarial Network for Image Rain Removal Xin Jin (University of Science and Technology of China); Zhibo Chen (University of Science and Technology of China)*; Jianxin Lin (University of Science and Technology of China); Jiale Chen (University of Science and Technology of China); Wei Zhou (University of Science and Technology of China); Chaowei Shan (University of Science and Technology of China) [PDF] | |
| 120. | Light-Field Intrinsic Dataset Sumit Shekhar (MPI-Informatik)*; Shida Beigpour (MPI-Informatik); Matthias Ziegler (Fraunhofer IIS); Michał Chwesiuk (West Pomeranian University of Technology); Dawid Paleń (West Pomeranian University of Technology); Karol Myszkowski (MPI-Informatik ); Joachim Keinert (Fraunhofer IIS); Radosław Mantiuk (West Pomeranian University of Technology); Piotr Didyk (Università della Svizzera italiana) [PDF] [SUPP-2] [Video-1] [Video-2] [Video-3] | |
| 121. | CEREALS – Cost-Effective REgion-based Active Learning for Semantic Segmentation Radek J Mackowiak (Robert Bosch GmbH)*; Philip Lenz (Robert Bosch GmbH); Omair Ghori (Robert Bosch GmbH); Ferran Diego (Robert Bosch GmbH); Oliver Lange (Robert Bosch GmbH); Carsten Rother (University of Heidelberg) [PDF] [SUPP] | |
| 122. | Large scale evaluation of local image feature detectors on homography datasets Karel Lenc (University of Oxford)*; Andrea Vedaldi (Oxford University) [PDF] | |
| 123. | Error Correction Maximization for Deep Image Hashing Xiang Xu (Carnegie Mellon University)*; Xiaofang Wang (Carnegie Mellon University); Kris Kitani (CMU) [PDF] | |
| 124. | Learning a Code-Space Predictor by Exploiting Intra-Image-Dependencies Jan P Klopp (National Taiwan University)*; Yu-Chiang Frank Wang (National Taiwan University); Shao-Yi Chien (National Taiwan University); Liang-Gee Chen (National Taiwan University) [PDF] [SUPP] | |
| 125. | Light-Weight RefineNet for Real-Time Semantic Segmentation Vladimir Nekrasov (University of Adelaide / ACRV)*; Chunhua Shen (University of Adelaide); Ian Reid ("University of Adelaide, Australia") [PDF] [SUPP] | |
| 126. | Accurate Detection and Localization of Checkerboard Corners for Calibration Alexander Duda (Kraken Robotik GmbH)*; Udo Frese (DFKI) [PDF] | |
| 127. | 3D Object Structure Recovery via Semi-supervised Learning on Videos Qian He (ShanghaiTech University)*; Desen Zhou (ShanghaiTech University); Xuming He (ShanghaiTech University) [PDF] | |
| 128. | Deep Video Color Propagation Simone Meyer (ETH Zurich)*; Victor Cornillere (ETH Zurich); Abdelaziz Djelouah (Disney Research); Christopher Schroers (Disney Research); Markus Gross (ETH Zurich) [PDF] [SUPP] | |
| 129. | 3D Human Pose Estimation with Relational Networks Sungheon Park (Seoul National University)*; Nojun Kwak (Seoul National University) [PDF] [Video] | |
| 130. | Image-derived generative modeling of pseudo-macromolecular structures -- towards the statistical assessment of Electron CryoTomography template matching Kaiwen Wang (Carnegie Mellon University); Xiangrui Zeng (Carnegie Mellon University); Xiaodan Liang (Carnegie Mellon University); Zhiguang Huo (University of Florida); Eric Xing (CMU); Min Xu (Carnegie Mellon University)* [PDF] [SUPP] | |
| 131. | Ranking CGANs: Subjective Control over Semantic Image Attributes Yassir Saquil (University of Bath)*; Kwang In Kim (University of Bath); Peter M Hall (University of Bath) [PDF] [SUPP] | |
| 132. | License Plate Recognition and Super-resolution from Low-Resolution Videos by Convolutional Neural Networks Vojtech Vasek (Eyedea Recognition Ltd.); Vojtech Franc (Center for Machine Perception)*; Martin Urban (Eyedea Recognition Ltd.) [PDF] [Video] | |
| 133. | End-to-End Speech-Driven Facial Animation with Temporal GANs Konstantinos Vougioukas (Imperial College London)*; Stavros Petridis (Imperial College London); Maja Pantic (Imperial College London) [PDF] [SUPP] [Video] | |
| 134. | 2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input Tae Joon Jun (KAIST)*; Dohyeun Kim (KAIST); Hoang Minh Nguyen (KAIST); Daeyoung Kim (KAIST); Youngsub Eom (Korea University College of Medicine) [PDF] | |
| 135. | DeSTNet: Densely Fused Spatial Transformer Networks Roberto Annunziata (Onfido)*; Christos Sagonas (Onfido); Jacques Cali (Onfido) [PDF] [SUPP] | |
| 136. | Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation Ce Ge (Beijing University of Posts and Telecommunications)*; Jingyu Wang (Beijing University of Posts and Telecommunications); Qi Qi (Beijing University of Posts and Telecommunications); Haifeng Sun (Beijing University of Posts and Telecommunications); Jianxin Liao (Beijing University of Posts and Telecommunications) [PDF] | |
| 137. | Future Semantic Segmentation with Convolutional LSTM Seyed shahabeddin Nabavi (University of Manitoba)*; Mrigank Rochan (University of Manitoba); Yang Wang (University of Manitoba) [PDF] | |
| 138. | Action Completion: A Temporal Model for Moment Detection Farnoosh Heidarivincheh (University of Bristol); Majid Mirmehdi (University of Bristol); Dima Damen (University of Bristol)* [PDF] [SUPP] [Video] | |
| 139. | Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly Jun Xiang (South-Central University For Nationalities); Guoshuai Zhang (South-Central University For Nationalities); Nong Sang (School of Automation, Huazhong University of Science and Technology); Rui Huang (The Chinese University of Hong Kong, Shenzhen); Jianhua Hou (South-Central University For Nationalities)* [PDF] | |
| 140. | Highway Driving Dataset for Semantic Video Segmentation Byungju Kim (KAIST); Junho Yim (Korea Advanced Institute of Science and Technology); Junmo Kim (KAIST)* [PDF] [SUPP] | |
| 141. | The Minimalist Camera "Parita Pooj ( Columbia University)*; Michael Grossberg (City University of New York); Peter Belhumeur ( Columbia University); Shree Nayar ( Columbia University)" [PDF] | |
| 142. | Localization Guided Learning for Pedestrian Attribute Recognition Pengze Liu (City University of Hong Kong)*; Xihui Liu (The Chinese University of Hong Kong); Junjie Yan (Sensetime Group Limited); Jing Shao (The Chinese University of Hong Kong) [PDF] | |
| 143. | Local Point Pair Feature Histogram for Accurate 3D Matching Anders G Buch (University of Southern Denmark)*; Dirk Kraft (Syddansk Universitet) [PDF] | |
| 144. | Learning Geo-Temporal Image Features Menghua Zhai (University of Kentucky)*; Tawfiq Salem (University of Kentucky); Connor S Greenwell (University of Kentucky); Scott Workman (University of Kentucky); Robert Pless (George Washington University); Nathan Jacobs (University of Kentucky) [PDF] | |
| 16:15 - 16:45 | Tea Break, Students Union |
| 16:45 - 18:30 | Orals 2, Students Union: Learning and Recognition Chair: Jungong Han |
| 145. | Three for one and one for three: Flow, Segmentation, and Surface Normals Hoang-An Le*, University of Amsterdam; Anil Baslamisli, University of Amsterdam; Thomas Mensink, UvA; Theo Gevers, University of Amsterdam [PDF] | |
| 146. | ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time Rudra Poudel*, Tosihiba Research Europe; Ujwal Bonde, Toshiba Research; Stephan Liwicki, Toshiba Research Europe Ltd; Christopher Zach, Toshiba Research [PDF] | |
| 147. | BAM: Bottleneck Attention Module Jongchan Park*, KAIST; Sanghyun Woo, KAIST; Joon-Young Lee, Adobe Research; In So Kweon, KAIST [PDF] | |
| 148. | Learning on the Edge: Explicit Boundary Handling in CNNs "Carlo Innamorati (University College London)*; Tobias Ritschel (University College London); Tim Weyrich (University College London); Niloy J. Mitra (University College London) " [PDF] [ZIP] | |
| 149. | Structured Probabilistic Pruning for Convolutional Neural Network Acceleration Huan Wang, Zhejiang University; Qiming Zhang, Zhejiang University; Yuehai Wang, Zhejiang University; Haoji Hu*, ZJU [PDF] [SUPP] | |
| 150. | Efficient Progressive Neural Architecture Search Juan-Manuel Perez-Rua*, Orange Labs; Moez Baccouche, Orange Labs; Stephane Pateux, Orange Labs [PDF] | |
| 151. | RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk*, Boston University; Abir Das, Boston University; Kate Saenko, Boston University [PDF] [SUPP] |
| 19:00 - 21:30 | Simple Dinner, Civic Centre |
| Wednesday 5th September | |
|---|---|
| 7:30 - 7:45 | Registration, Students Union |
| 7:45 - 8:30 | Coffee & Pastry, Students Union |
| 8:30 - 10:00 | Orals 3, Students Union: Low Level Vision and Computational Photography Chair: Dimitris Metaxas |
| 152. | Direct Shot Correspondence Matching "Umer Rafi (RWTH Aachen University)*; Jurgen Gall (University of Bonn); Bastian Leibe (RWTH Aachen University); " [PDF] | |
| 153. | Gated Fusion Network for Joint Image Deblurring and Super-Resolution Xinyi Zhang*, National Engineering Laboratory for Vision Information Processing and Application, Xi’an Jiaotong University; Hang Dong, National Engineering Laboratory for Vision Information Processing and Application, Xi'an Jiaotong University; Zhe Hu, Hikvision Research; Wei-Sheng Lai, University of California, Merced; Fei Wang, Xi'an Jiaotong University; Ming-Hsuan Yang, University of California at Merced [PDF] [SUPP] | |
| 154. | Semantic Priors for Intrinsic Image Decomposition Saurabh Saini*, International Institute of Information Technology Hyderabad; P. J. Narayanan, IIIT-Hyderabad [PDF] [SUPP] | |
| 155. | Deep Retinex Decomposition for Low-Light Enhancement Chen Wei*, Peking University; Wenjing Wang, Peking University; Wenhan Yang, Peking University; Jiaying Liu, Peking University [PDF] [SUPP] | |
| 156. | Pixel-level Semantics Guided Image Colorization JIAOJIAO ZHAO*, University of Amsterdam; Li Liu, the inception institute of artificial intelligence; Cees Snoek, University of Amsterdam; Jungong Han, Lancaster University; Ling Shao, Inception Institute of Artificial Intelligence [PDF] [SUPP] | |
| 157. | Automatic Semantic Content Removal by Learning to Neglect Siyang Qin*, University of California, Santa Cruz; Jiahui Wei, University of California, Santa Cruz; Roberto Manduchi, University of California Santa Cruz [PDF] |
| 10:00 - 10:45 | Tea Break, Students Union |
| 10:45 - 11:45 | Keynote 2, Students Union The Role of Symmetry in Human and Computer Vision. Sven Dickinson (University of Toronto) Chair: David Crandall |
| 11:45 - 12:30 | Spotlights 2, Students Union |
| 158. | CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps Yusuf Tas (Data61); Piotr Koniusz (Data61/CSIRO, ANU)* [PDF] [SUPP] [Video] | |
| 159. | Deep Covariance Descriptors for Facial Expression Recognition Naima OTBERDOUT (Mohammed V University in Rabat, Morocco.)*; Anis Kacem (IMT LILLE-DOUAI, CRIStAL UMR CNRS 8198); Mohamed Daoudi (IMT Lille Douai); Lahoucine Ballihi (Mohammed V University in Rabat); Stefano Berretti (University of Florence, Italy) [PDF] [SUPP] [Video] | |
| 160. | Video Time: Properties, Encoders and Evaluation Amir Ghodrati (University of Amsterdam)*; Efstratios Gavves (University of Amsterdam ); Cees Snoek (University of Amsterdam) [PDF] [Video] | |
| 161. | Modelling Diffusion Process by Deep Neural Networks for Image Retrieval yan zhao (SCIT, university of wollongong); Lei Wang ("University of Wollongong, Australia")*; Luping Zhou (University of Sydney); Yinghuan Shi (Nanjing University); Yang Gao (Nanjing University) [PDF] | |
| 162. | Memory-efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment Nenad Markus (n/a); Ivan Gogić (Faculty of Electrical Engineering and Computing, University of Zagreb)*; Igor Pandzic (n/a); Jorgen Ahlberg (TST, Sweden) [PDF] [Video] | |
| 163. | A Novel Method For Unsupervised Scanner-Invariance Using A Dual-Channel Auto-Encoder Model Andrew D Moyes (Queen's University, Belfast)*; Kun Zhang (Queen's University, Belfast); Liping Wang (Queen's University, Belfast); Ming Ji (Queen's University, Belfast); Danny Crookes (Queen's University Belfast); Huiyu Zhou (Queen's University Belfast) [PDF] | |
| 164. | Improved Visual Relocalization by Discovering Anchor Points Soham Saha (International Institute of Information Technology, Hyderabad)*; Girish Varma (IIIT Hyderabad); C.V. Jawahar (IIIT-Hyderabad) [PDF] [Video] | |
| 165. | Bidirectional Long Short-Term Memory Variational Autoencoder Henglin Shi (University of Oulu); Xin Liu (University of Oulu); xiaopeng hong (University of Oulu, Finland); Guoying Zhao (University of Oulu)* [PDF] [Video] | |
| 166. | Phase retrieval for Fourier Ptychography under varying amount of measurements Lokesh Boominathan (Aindra Systems)*; Mayug Maniparambil (IIT Madras); Honey Gupta (IIT Madras); Rahul Baburajan (IIT Madras); Kaushik Mitra (IIT Madras) [PDF] [SUPP] [Video] |
| 12:30 - 14:00 | Lunch, Civic Centre |
| 14:00 - 16:15 | Posters 2, Students Union |
| 167 - 175 Correspond to Wednesday Spotlights 2 | ||
| 167. | CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps Yusuf Tas (Data61); Piotr Koniusz (Data61/CSIRO, ANU)* [PDF] [SUPP] [Video] | |
| 168. | Deep Covariance Descriptors for Facial Expression Recognition Naima OTBERDOUT (Mohammed V University in Rabat, Morocco.)*; Anis Kacem (IMT LILLE-DOUAI, CRIStAL UMR CNRS 8198); Mohamed Daoudi (IMT Lille Douai); Lahoucine Ballihi (Mohammed V University in Rabat); Stefano Berretti (University of Florence, Italy) [PDF] [SUPP] [Video] | |
| 169. | Video Time: Properties, Encoders and Evaluation Amir Ghodrati (University of Amsterdam)*; Efstratios Gavves (University of Amsterdam ); Cees Snoek (University of Amsterdam) [PDF] [Video] | |
| 170. | Modelling Diffusion Process by Deep Neural Networks for Image Retrieval yan zhao (SCIT, university of wollongong); Lei Wang ("University of Wollongong, Australia")*; Luping Zhou (University of Sydney); Yinghuan Shi (Nanjing University); Yang Gao (Nanjing University) [PDF] | |
| 171. | Memory-efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment Nenad Markus (n/a); Ivan Gogić (Faculty of Electrical Engineering and Computing, University of Zagreb)*; Igor Pandzic (n/a); Jorgen Ahlberg (TST, Sweden) [PDF] [Video] | |
| 172. | A Novel Method For Unsupervised Scanner-Invariance Using A Dual-Channel Auto-Encoder Model Andrew D Moyes (Queen's University, Belfast)*; Kun Zhang (Queen's University, Belfast); Liping Wang (Queen's University, Belfast); Ming Ji (Queen's University, Belfast); Danny Crookes (Queen's University Belfast); Huiyu Zhou (Queen's University Belfast) [PDF] | |
| 173. | Improved Visual Relocalization by Discovering Anchor Points Soham Saha (International Institute of Information Technology, Hyderabad)*; Girish Varma (IIIT Hyderabad); C.V. Jawahar (IIIT-Hyderabad) [PDF] [Video] | |
| 174. | Bidirectional Long Short-Term Memory Variational Autoencoder Henglin Shi (University of Oulu); Xin Liu (University of Oulu); xiaopeng hong (University of Oulu, Finland); Guoying Zhao (University of Oulu)* [PDF] [Video] | |
| 175. | Phase retrieval for Fourier Ptychography under varying amount of measurements Lokesh Boominathan (Aindra Systems)*; Mayug Maniparambil (IIT Madras); Honey Gupta (IIT Madras); Rahul Baburajan (IIT Madras); Kaushik Mitra (IIT Madras) [PDF] [SUPP] [Video] | |
| 176 - 181 Correspond to Wednesday Orals 3 | ||
| 176. | Pixel-level Semantics Guided Image Colorization JIAOJIAO ZHAO (University of Amsterdam)*; Li Liu (the inception institute of artificial intelligence); Cees Snoek (University of Amsterdam); Jungong Han (Lancaster University); Ling Shao (Inception Institute of Artificial Intelligence) [PDF] [SUPP] | |
| 177. | Gated Fusion Network for Joint Image Deblurring and Super-Resolution Xinyi Zhang (National Engineering Laboratory for Vision Information Processing and Application, Xi’an Jiaotong University)*; Hang Dong (National Engineering Laboratory for Vision Information Processing and Application, Xi'an Jiaotong University); Zhe Hu (Hikvision Research); Wei-Sheng Lai (University of California, Merced); Fei Wang (Xi'an Jiaotong University); Ming-Hsuan Yang (University of California at Merced) [PDF] [SUPP] | |
| 178. | Direct Shot Correspondence Matching Umer Rafi (RWTH Aachen University)*; Bastian Leibe (RWTH Aachen University-); Jurgen Gall (University of Bonn) [PDF] | |
| 179. | Deep Retinex Decomposition for Low-Light Enhancement Chen Wei (Peking University)*; Wenjing Wang (Peking University); Wenhan Yang (Peking University); Jiaying Liu (Peking University) [PDF] [SUPP] | |
| 180. | Semantic Priors for Intrinsic Image Decomposition Saurabh Saini (International Institute of Information Technology Hyderabad)*; P. J. Narayanan (IIIT-Hyderabad) [PDF] [SUPP] | |
| 181. | Automatic Semantic Content Removal by Learning to Neglect Siyang Qin (University of California, Santa Cruz)*; Jiahui Wei (University of California, Santa Cruz); Roberto Manduchi (University of California Santa Cruz) [PDF] | |
| 182 - 188 Correspond to Wednesday Orals 4 | ||
| 182. | S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks Da Zhang (UC Santa Barbara)*; Xiyang Dai (UMD); Xin Wang (University of California, Santa Barbara); Yuan-Fang Wang (UC Santa Barbara) [PDF] | |
| 183. | Budget-Aware Activity Detection with A Recurrent Policy Network "Behrooz Mahasseni (Apple); Xiaodong Yang (NVIDIA)*; Pavlo Molchanov (NVIDIA); Jan Kautz (NVIDIA)" [PDF] [SUPP] | |
| 184. | From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video Zehua Zhang (Indiana University)*; Sven Bambach (Indiana University); Chen Yu (Indiana University); David Crandall (Indiana University) [PDF] | |
| 185. | LikeNet: A Siamese Motion Estimation Network Trained in an Unsupervised Way Aria Ahmadi (Queen Mary University of London)*; Marras Ioannis (Queen Mary University of London); Ioannis Patras (Queen Mary University of London) [PDF] | |
| 186. | Learning Human Optical Flow Anurag Ranjan (MPI for Intelligent Systems)*; Javier Romero (MPI-IS); Michael J. Black (Max Planck Institute for Intelligent Systems) [PDF] [Video] | |
| 187. | Video Summarisation by Classification with Deep Reinforcement Learning Kaiyang Zhou (Queen Mary University of London, UK)*; Tao Xiang (Queen Mary, University of London, UK); ANDREA CAVALLARO (Queen Mary University of London, UK) [PDF] | |
| 188. | QuaterNet: A Quaternion-based Recurrent Model for Human Motion Dario Pavllo (Facebook)*; David Grangier (Facebook); Michael Auli (Facebook) [PDF] [Video] | |
| 189 - 194 Correspond to Thursday Orals 5 | ||
| 189. | It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data Matteo Ruggero Ronchi (California Institute of Technology)*; Oisin Mac Aodha (Caltech); Robert Eng (Caltech); Pietro Perona (CALTECH, USA) [PDF] [SUPP] | |
| 190. | 3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space Masoud Abdi (Institute for Intelligent Systems Research and Innovation - Deakin University)*; Ehsan M Abbasnejad (Adelaide); Chee Peng Lim (Deakin University); Saeid Nahavandi (Institute for Intelligent Systems Research and Innovation (IISRI)/Deakin University) [PDF] | |
| 191. | Self-supervised learning of a facial attribute embedding from video Olivia Wiles (University of Oxford); A S Koepke (University of Oxford)*; Andrew Zisserman (University of Oxford) [PDF] [SUPP] | |
| 192. | Face Verification from Depth using Privileged Information Guido Borghi (University of Modena and Reggio Emilia)*; Stefano Pini (University of Modena and Reggio Emilia); Filippo Grazioli (University of Modena and Reggio Emilia); ROBERTO VEZZANI (University of Modena and Reggio Emilia, Italy); Rita Cucchiara (University of Modena and Reggio Emilia) [PDF] | |
| 193. | Sign Language Production using Neural Machine Translation and Generative Adversarial Networks Stephanie M Stoll (Centre for Vision, Speech and Signal Processing)*; Necati Cihan Camgoz (University of Surrey); Simon Hadfield (University of Surrey); Richard Bowden (University of Surrey) [PDF] | |
| 194. | CU-Net: Coupled U-Nets Zhiqiang Tang (Rutgers)*; Xi Peng (Rutgers University); Shijie Geng (Rutgers); Yizhe Zhu (Rutgers); Dimitris Metaxas (Rutgers) [PDF] | |
| 195 - 199 Correspond to Thursday Orals 6 | ||
| 195. | End-to-end Image Captioning Exploits Multimodal Distributional Similarity Pranava Madhyastha (University of Sheffield)*; Josiah Wang (University of Sheffield); Lucia Specia (University of Sheffield) [PDF] [SUPP] | |
| 196. | Boosting up Scene Text Detectors with Guided CNN Xiaoyu Yue (SenseTime)*; Zhanghui Kuang (Sensetime Ltd.); Zhaoyang Zhang (Sensetime Ltd.); Zhenfang Chen (The university of Hong Kong); Pan He (University of Florida); Yu Qiao (Multimedia Laboratory, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Wei Zhang (SenseTime Research) [PDF] | |
| 197. | Y-Net: A deep Convolutional Neural Network to Polyp Detection "Ahmed Kedir Mohammed (NTNU)*; Sule Yildirim-Yayilgan (NTNU); Ivar Farup (NTNU); Marius Pedersen (NTNU, Gjovik, Norway); Øistein Hovde (University of Oslo)" [PDF] | |
| 198. | Guitar Music Transcription from Silent Video Shir Goldstein (IDC)*; Yael Moses (IDC, Israel) [PDF] [SUPP] [Video] | |
| 199. | Image Retrieval with Mixed Initiative and Multimodal Feedback Nils Murrugarra-Llerena (University of Pittsburgh)*; Adriana Kovashka (University of Pittsburgh) [PDF] [SUPP] | |
| | ||
| 200. | Human Activity Recognition with Pose-driven Attention to RGB Fabien Baradel (LIRIS)*; Christian Wolf (INSA Lyon); Julien Mille (INSA Centre Val de Loire) [PDF] [SUPP] [Video] | |
| 201. | Generating Photorealistic Facial Expressions in Dyadic Interactions Yuchi Huang (ACT)*; Saad Khan (ACTNext ACT Inc) [PDF] | |
| 202. | An Efficient End-to-End Neural Model for Handwritten Text Recognition Arindam Chowdhury (Innovation Labs, Tata Consultancy Services Limited)*; Lovekesh Vig (Innovation Labs, Tata Consultancy Services Limited) [PDF] | |
| 203. | Online Multi-Object Tracking with Structural Invariance Constraint Xiao Zhou (Xi'an Jiaotong University); Peilin Jiang (Xi'an Jiaotong Univerity)*; Zhao Wei (Xi'an Jiaotong University); Hang Dong (Xi’an Jiaotong University); Fei Wang (Xi'an Jiaotong University) [PDF] | |
| 204. | Self-attention Learning for Person Re-identification Minyue Jiang (Northwestern Polytechnical University); Yuan Yuan ( Northwestern Polytechnical University); Qi Wang (Northwestern Polytechnical University)* [PDF] | |
| 205. | Improving Fast Segmentation With Teacher-Student Learning Jiafeng Xie (Sun Yat-sen University); Bing Shuai (Nanyang Technological University); Jian-Fang HU (Sun Yat-sen University)*; Jingyang Lin (Sun Yat-sen University); WEI-SHI ZHENG (Sun Yat-sen University, China) [PDF] | |
| 206. | Asymmetric Spatio-Temporal Embeddings for Large-Scale Image-to-Video Retrieval Noa Garcia (Aston University)*; George Vogiatzis (Aston University) [PDF] | |
| 207. | Adaptive Context-aware Reinforced Agent for Handwritten Text Recognition Liangke Gui (Carnegie Mellon University)*; XIAODAN LIANG (Carnegie Mellon University); Xiaojun Chang (Carnegie Mellon University); Alexander Hauptmann (Carnegie Mellon University) [PDF] | |
| 208. | Attentional Alignment Networks Lei Yue (Beihang University)*; Xin Miao (The University of Texas at Arlington); Pengbo Wang (Shanghai Jiao Tong University); Baochang Zhang (Beihang University); Xiantong Zhen (Beihang University); Xianbin Cao (Beihang University, China) [PDF] | |
| 209. | Regional Attention Based Deep Feature for Image Retrieval Jaeyoon Kim (KAIST); Sungeui Yoon (KAIST)* [PDF] | |
| 210. | Learning and Thinking Strategy for Training Sequence Generation Models Yu Li (Institute of Computing Technology, Chinese Academy of Sciences); Sheng Tang (Institute of Computing Technology, Chinese Academy of Sciences)*; Min Lin (Qihoo/360); junbo guo (ICT); Jintao Li (Institute of Computing Technology, Chinese Academy of Sciences); Shuicheng Yan (Qihoo/360) [PDF] | |
| 211. | A Deep Framework for Automatic Annotation with Application to Retail Warehouses Kanika Mahajan (Tata Consultancy Services); ANIMA MAJUMDER (Tata Consultancy Services)*; Harika Nanduri (Tata Consultancy Services); Swagat Kumar (TCS Innovation Lab) [PDF] | |
| 212. | Iteratively Trained Interactive Segmentation Sabarinath Mahadevan (RWTH Aachen University)*; Paul Voigtlaender (RWTH Aachen University); Bastian Leibe (RWTH Aachen University-) [PDF] [SUPP] | |
| 213. | Feature Contraction: New ConvNet Regularization in Image Classification Vladimir Li (KTH Royal Institute of Technology)*; Atsuto Maki (KTH Royal Institute of Technology) [PDF] | |
| 214. | Deep Attentional Structured Representation Learning for Visual Recognition Krishna Kanth Nakka (EPFL)*; Mathieu Salzmann (EPFL) [PDF] [SUPP] | |
| 215. | Ellipse Detection on Images Using Conic Power of Two Points Min Liu (Purdue University); BODI Yuan (UC Berkeley)*; Jing Bai (Beifang University of Nationalities) [PDF] | |
| 216. | Parsing Pose of People with Interaction "Serim Ryou (California Institute of Technology)*; Pietro Perona (California Institute of Technology)" [PDF] [SUPP] | |
| 217. | A Highly Accurate Feature Fusion Network For Vehicle Detection In Surveillance Scenarios "Jianqiang Wang (THU)*; Ya-Li Li (THU); Shengjin Wang (THU); " [PDF] | |
| 218. | Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning Omkar Anil Gune (Indian Institute of Technology Bombay)*; Biplab Banerjee (Indian Institute of Technology, Bombay); Subhasis Chaudhuri (Indian Institute of Technology Bombay) [PDF] | |
| 219. | ROI-wise Reverse Reweighting Network for Road Marking Detection Xiaoqiang Zhang (Northwestern Polytechnical University); Yuan Yuan (Northwestern Polytechnical University); Qi Wang (Northwestern Polytechnical University)* [PDF] | |
| 220. | MBLLEN: Low-Light Image/Video Enhancement Using CNNs Feifan Lv (Beihang University); Feng Lu (Beihang University)*; Jianhua Wu (Panasonic Singapore Laboratory); Chongsoon Lim (Panasonic Singapore Laboratory) [PDF] | |
| 221. | Hierachical Image Link Selection Scheme for Duplicate Structure Disambiguation Fan Wang (Stony Brook University)*; Aditi Nayak (Stony Brook University); Yogesh Agrawal (Stony Brook University); Roy Shilkrot (Stony Brook University) [PDF] | |
| 222. | Single Image Super-Resolution via Squeeze and Excitation Network Tao Jiang (Shaanxi Normal University); yu zhang (Shaanxi normal university)*; Xiaojun Wu (Shaanxi Normal University); Yuan Rao (xi'an Jiaotong university); Mingquan Zhou (Beijing Normal University) [PDF] | |
| 223. | WebCaricature: a benchmark for caricature recognition Jing Huo (Nanjing University)*; Wenbin Li (Nanjing University); Yinghuan Shi (Nanjing University); Yang Gao (Nanjing University); Hujun Yin (University of Manchester ) [PDF] | |
| 224. | Resembled Generative Adversarial Networks: Two Domains with Similar Attributes Duhyeon Bang (Yonsei university); Hyunjung Shim (Yonsei University)* [PDF] | |
| 225. | Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation Chengyang Li (Zhejiang University)*; Dan Song (Zhejiang University); Ruofeng Tong (Zhejiang University); Min Tang (Zhejiang University) [PDF] | |
| 226. | Identity-based Adversarial Training of Deep CNNs for Facial Action Unit Recognition Zheng Zhang (University of Binghamtom)*; Shuangfei Zhai (Binghamton University); Lijun Yin (State University of New York at Binghamton) [PDF] | |
| 227. | A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition Thao M. Le (Tokyo Institute of Technology)*; Nakamasa Inoue (Tokyo Institute of Technology); Koichi Shinoda (Tokyo Institute of Technology) [PDF] | |
| 228. | Dense Correspondence of Cone-Beam Computed Tomography Images Using Oblique Clustering Forest Diya Sun (Peking University); Yuru Pei (Peking University)*; Yuke Guo (Luoyang Institute of Science and Technology); Gengyu Ma (Usens Inc); Tianmin Xu (Peking University); Hongbin Zha (Peking University, China) [PDF] | |
| 229. | Attention is All We Need: Nailing Down Object-centric Attention for Egocentric Activity Recognition Swathikiran Sudhakaran (Fondazione Bruno Kessler, Italy); Oswald Lanz (Fondazione Bruno Kessler, Italy)* [PDF] [SUPP] | |
| 230. | Structure-Aware 3D Shape Synthesis from Single-View Images Xuyang Hu (Anhui University); Fan Zhu (the inception institute of artificial intelligence )*; Li Liu (the inception institute of artificial intelligence); Jin Xie (Nanjing University of Science and Technology); Jun Tang (Anhui University); Nian Wang (Anhui University); Fumin Shen (UESTC); Ling Shao (Inception Institute of Artificial Intelligence) [PDF] | |
| 231. | Robust Adversarial Perturbation on Deep Proposal-based Models Yuezun Li (SUNY, albany)*; Daniel Tian (Berkshire School); Ming-Ching Chang (Albany University); Xiao Bian (GE Global Research); Siwei Lyu (University at Albany) [PDF] | |
| 232. | Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz "Andrew Hallam (University College London)*; Edward Grant (University College London); Vid Stojevic (University College London); Simone Severini (University College London); Andrew G. Green (University College London)" [PDF] | |
| 233. | Joint Action Unit localisation and intensity estimation through heatmap regression Enrique Sánchez-Lozano (University of Nottingham)*; Georgios Tzimiropoulos (University of Nottingham); Michel Valstar (University of Nottingham) [PDF] | |
| 234. | Multiplicative vs. Additive Half-Quadratic Minimization for Robust Cost Optimization Christopher Zach (Toshiba Research)*; Guillaume M Bourmaud (University of Bordeaux) [PDF] | |
| 235. | A Differential Approach for Gaze Estimation with Calibration Gang Liu (Idiap Research Institute)*; Yu Yu (Idiap, and EPFL); Kenneth Alberto Funes Mora (Eyeware); JEAN-MARC ODOBEZ (IDIAP/EPFL, SWITZERLAND) [PDF] | |
| 236. | SAM-RCNN: Scale-Aware Multi-Resolution Multi-Channel Pedestrian Detection Tianrui Liu (Imperial College London)*; Mohamed ElMikaty (Imperial College London); Tania Stathaki (n/a) [PDF] | |
| 237. | Understanding Deep Architectures by Visual Summaries Marco Godi (University of Verona)*; Marco Carletti (University of Verona); Maya Aghaei (Istituto Italiano di Tecnologia); Francesco Giuliari (University of Verona); Marco Cristani (University of Verona) [PDF] | |
| 238. | A Hybrid Probabilistic Model for Camera Relocalization Ming Cai (The University of Adelaide)*; Chunhua Shen (University of Adelaide); Ian Reid ("University of Adelaide, Australia") [PDF] | |
| 239. | Action Recognition with the Augmented MoCap Data using Neural Data Translation Shih-Yao Lin (Tencent America LLC)*; Yen-Yu Lin (Academia Sinica) [PDF] | |
| 240. | StitchAD-GAN for Synthesizing Apparent Diffusion Coefficient Images of Clinically Significant Prostate Cancer Zhiwei Wang (Huazhong University of Science and Technology); Yi Lin (Huazhong University of Science and Technology); Chunyuan Liao (Hiscene Technology); Kwang-Ting Cheng (Hong Kong University of Science and Technology); Xin Yang (Huazhong University of Science and Technology)* [PDF] [SUPP] | |
| 241. | Long-term object tracking with a moving event camera Bharath Ramesh (National University of Singapore)*; Shihao Zhang (NUS); Zhi Wei Lee (NUS); Zhi Gao (NUS); Garrick Orchard (NUS); Cheng Xiang (National University of Singapore) [PDF] [Video] | |
| 242. | Multi-Scale Recurrent Tracking via Pyramid Recurrent Network and Optical Flow Ding Ma (Harbin Institute of Technology)*; Wei Bu (Harbin Institute of Technology); XIANGQIAN WU (Harbin Institute of Technology, China) [PDF] | |
| 243. | Strong Baseline for Single Image Dehazing with Deep Features and Instance Normalization Zheng Xu (Univ. of Maryland)*; Xitong Yang (University of Maryland); Xue Li (Facebook); Xiaoshuai Sun (Harbin Institute of Technology) [PDF] | |
| 244. | Learning Regularization Weight for CRF Optimization Jiaxiao Wu (University of Western Ontario); Olga Veksler (University of Western Ontario)* [PDF] | |
| 245. | Automatic X-ray Scattering Image Annotation via Double-View Fourier-Bessel Convolutional Networks Ziqiao Guan (Stony Brook University)*; Hong Qin (Stony Brook University); Kevin Yager (Brookhaven National Laboratory); Youngwoo Choo (Yale University); Dantong Yu (New Jersey Institute of Technology) [PDF] [SUPP] | |
| 246. | Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction Md Amirul Islam (University of Manitoba)*; Mahmoud Kalash (University of Manitoba); Neil D. B. Bruce (Ryerson University) [PDF] | |
| 247. | Adaptive Appearance Rendering Mengyao Zhai (Simon Fraser University)*; Ruizhi Deng (Simon Fraser University); Jiacheng Chen (Simon Fraser University); Lei Chen (Simon Fraser Univeristy); Zhiwei Deng (Simon Fraser University); Greg Mori (Simon Fraser University) [PDF] [SUPP] [Video] | |
| 248. | Network Decoupling: From Regular to Depthwise Separable Convolutions Jianbo Guo (Tsinghua University)*; Yuxi Li (Shanghai Jiao Tong University); Weiyao Lin (Shanghai Jiaotong University); Yurong Chen (Intel Labs China); Jianguo Li (Intel Labs) [PDF] | |
| 249. | BUAA-PRO: A Tracking Dataset with Pixel-Level Annotation Annan Li (Beijing University of Aeronautics and Astronautics)*; Zhiyuan Chen (Beijing University of Aeronautics and Astronautics); Yunhong Wang (State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing 100191, China) [PDF] | |
| 250. | Reciprocal Attention Fusion for Visual Question Answering Moshiur R Farazi (Australian National University (ANU))*; Salman Khan (Australian National University (ANU)) [PDF] | |
| 251. | Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues Cristina Palmero (Universitat de Barcelona)*; Javier Selva (Universitat de Barcelona); Mohammad Ali Bagheri (University of Calgary); Sergio Escalera (Computer Vision Center (UAB) & University of Barcelona,) [PDF] | |
| 252. | Active Learning from Noisy Tagged Images Ehsan M Abbasnejad (Adelaide)*; Anthony Dick (University of Adelaide, Australia); Qinfeng Shi (University of Adelaide); Anton Van Den Hengel (University of Adelaide) [PDF] | |
| 253. | STDnet: A ConvNet for Small Target Detection Brais Bosquet (University of Santiago de Compostela)*; Manuel Mucientes (Universidade de Santiago de Compostela); Victor Brea (University of Santiago de Compostela, Spain) [PDF] | |
| 254. | Learning Human Poses from Actions Aditya Arun (IIIT Hyderabad)*; C.V. Jawahar (IIIT-Hyderabad); M. Pawan Kumar (University of Oxford) [PDF] [SUPP] | |
| 255. | 3D Motion Segmentation of Articulated Rigid Bodies based on RGB-D Data "Urbano Miguel Nunes (Imperial College London)*; Yiannis Demiris (Imperial College London)" [PDF] [SUPP] [Video] | |
| 256. | Deep Evolutionary 3D Diffusion Heat Maps for Large-pose Face Alignment Bin Sun (Northeastern University); Ming Shao (University of Massachusetts Dartmouth); Siyu Xia (Southeast University, China)*; YUN FU (Northeastern University) [PDF] | |
| 257. | Iterative Deep Learning for Road Topology Extraction Carles Ventura (Universitat Oberta de Catalunya)*; Jordi Pont-Tuset (Eidgenössiche Technische Hochschule Zürich); Sergi Caelles (Eidgenössiche Technische Hochschule Zürich); Kevis-Kokitsi Maninis (Eidgenössiche Technische Hochschule Zürich); Luc Van Gool (ETH Zurich) [PDF] [Video] | |
| 258. | Multi-phase Volume Segmentation with Tetrahedral Mesh "Tuan T. Nguyen (Techinical University of Denmark)*; Vedrana A. Dahl (Technical University of Denmark); J. Andreas Bærentzen (Techinical University of Denmark); Camilla H. Trinderup (Techinical University of Denmark)" [PDF] | |
| 259. | AlphaGAN: Generative adversarial networks for natural image matting Sebastian Lutz (Trinity College Dublin)*; Konstantinos Amplianitis (Trinity College Dublin); Aljosa Smolic (Trinity College Dublin) [PDF] [SUPP] | |
| 260. | Actor-Action Semantic Segmentation with Region Masks Kang Dang (Nanyang Technological University)*; CHUNLUAN ZHOU (Nanyang Technological University); Zhigang Tu (Wuhan University); Michael Hoy (Nanyang Technological University); Justin Dauwels (Nanyang Technological University); Junsong Yuan ("State University of New York at Buffalo, USA") [PDF] | |
| 261. | JointFlow: Temporal Flow Fields for Multi Person Pose Estimation Andreas Doering (University of Bonn)*; Umar Iqbal (University of Bonn); Jurgen Gall (University of Bonn) [PDF] [SUPP] [Video-1] [Video-2] | |
| 262. | Learning Short-Cut Connections for Object Counting Daniel Oñoro (NEC Lab Europe)*; Roberto Javier Lopez-Sastre (University of Alcala); Mathias Niepert (NEC Laboratories Europe) [PDF] | |
| 263. | Convolutional Simplex Projection Network for Weakly Supervised Semantic Segmentation Rania Briq (The University of Bonn)*; Michael Moeller (University of Siegen); Jürgen Gall (University of Bonn) [PDF] | |
| 264. | Deep Domain Adaptation in Action Space Arshad Jamal (IIT Kanpur)*; Vinay P Namboodiri (IIT Kanpur); Dipti Deodhare (CAIR, DRDO); K. S. Venkatesh (IIT Kanpur) [PDF] [SUPP] | |
| 265. | A New Benchmark and Progress Toward Improved Weakly Supervised Learning "Jason Ramapuram (University of Geneva); Russ Webb (Apple)*" [PDF] [SUPP] | |
| 266. | Recurrent Transformer Network for Remote Sensing Scene Categorisation Zan Chen (Xi'an Jiaotong University); Shidong Wang (University of East Anglia); Xingsong Hou (Xi'an Jiaotong University)*; Ling Shao (Inception Institute of Artificial Intelligence) [PDF] [SUPP] | |
| 267. | Deep Segmentation and Registration in X-Ray Angiography Video Athanasios Vlontzos (Imperial College London)*; Krystian Mikolajczyk (Imperial College London) [PDF] | |
| 268. | Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning Tomasz K Konopczynski (Heidelberg University)*; Thorben Kröger (Volume Graphics); Lei Zheng (Heidelberg University); Jürgen Hesser (Heidelberg University) [PDF] | |
| 269. | Human Motion Parsing by Hierarchical Dynamic Clustering Yan Zhang (Institute of Neural Information Processing, Ulm University)*; Siyu Tang (MPI for Intelligent Systems); He Sun (School of Informatics, The University of Edinburgh); Heiko Neumann (Ulm University) [PDF] | |
| 270. | Part-based Graph Convolutional Network for Action Recognition Kalpit C Thakkar (International Institute of Information Technology, Hyderabad)*; P. J. Narayanan (IIIT-Hyderabad) [PDF] [SUPP] | |
| 271. | Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography Chang Liu (Carnegie Mellon University); Xiangrui Zeng (Carnegie Mellon University); Kaiwen Wang (Carnegie Mellon University); Qiang Guo (Max Planck Institute of Biochemistry); Min Xu (Carnegie Mellon University)* [PDF] [SUPP] | |
| 272. | Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network "Aram Ter-Sarkisov (Dublin Institute of Technology)*; John Kelleher (Dublin Institute of Technology); Bernadette Earley (TEAGASC); Michael Keane (TEAGASC); Robert Ross (Dublin Institute of Technology)" [PDF] [Video] | |
| 273. | Region-Object Relevance-Guided Visual Relationship Detection Yusuke Goutsu (National Institute of Informatics)* [PDF] | |
| 274. | Learning Finer-class Networks for Universal Representations Julien Girard (CEA); Youssef Tamaazousti (CEA LIST)*; Herve Le Borgne (CEA LIST); Céline Hudelot (CentraleSupélec) [PDF] [SUPP] | |
| 275. | Mining for meaning: from vision to language through multiple networks consensus Iulia Duta (Bitdefender)*; Andrei L Nicolicioiu (Bitdefender); Simion-Vlad Bogolin (Institute of Mathematics of the Romanian Academy); Marius Leordeanu (Institute of Mathematics of the Romanian Academy) [PDF] [SUPP] | |
| 276. | Self-Paced Learning with Adaptive Deep Visual Embeddings Vithursan Thangarasa (University of Guelph)*; Graham Taylor (University of Guelph) [PDF] | |
| 277. | Robust 6D Object Pose Estimation with Stochastic Congruent Sets Chaitanya Mitash (Rutgers University)*; Abdeslam Boularias (Rutgers University); Kostas Bekris (Rutgers University) [PDF] [Video] | |
| 278. | Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation Nagendar G (IIIT Hyderabad)*; Digvijay Singh (IIIT Hyderabad); Vineeth N Balasubramanian (IIT Hyderabad); C.V. Jawahar (IIIT-Hyderabad) [PDF] | |
| 279. | Position-Squeeze and Excitation Block for Facial Attribute Analysis Yan Zhang (East China Normal University); Wanxia Shen (East China Normal University); Li Sun (East China Normal University)*; Qingli Li (East China Normal University) [PDF] | |
| 280. | Semantic Iterative Closest Point through Expectation-Maximization Steven Parkison (Univ. of Michigan)*; Lu Gan (Univ. of Michigan); Maani Ghaffari Jadidi (Univ. of Michigan); Dr.Ryan M Eustice (University of Michigan) [PDF] [SUPP] | |
| 281. | SF-Net: Learning Scene Flow from RGB-D Images with CNNs Yi-Ling Qiao (College students); Lin Gao (The Chinese academy of sciences institute of computing technology)*; Yukun Lai (Cardiff University); Fang-Lue Zhang (School of Engineering and Computer Science, Victoria University of Wellington); Ming-Ze Yuan (The Chinese academy of sciences institute of computing technology); Shi-Hong Xia (The Chinese academy of sciences institute of computing technology) [PDF] | |
| 282. | Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation Jörg Wagner (Robert Bosch GmbH)*; Volker Fischer (Robert Bosch GmbH); Michael Herman (Robert Bosch GmbH); Sven Prof. Behnke (University of Bonn) [PDF] [SUPP] | |
| 283. | Deep Facial Attribute Detection in the Wild: From General to Specific Yuechuan Sun (University of Science and Technology of China); Jun Yu (University of Science and Technology of China)* [PDF] | |
| 284. | Accurate Eye Center Localization via Hierarchical Adaptive Convolution Haibin Cai (University of portsmouth)*; Bangli Liu (University of portsmouth); Zhaojie Ju (University of Portsmouth); Serge Thill (University of Plymouth); Tony Belpaeme (Ghent University); Bram Vanderborght (VUB); Honghai Liu (University of Portsmouth) [PDF] | |
| 285. | Pyramid Attention Network for Semantic Segmentation Hanchao Li (Beijing Institute of Technology)*; pengfei xiong (megvii); Jie An (Peking University); Lingxue Wang (Beijing Institute of Technology) [PDF] | |
| 286. | Deep Textured 3D Reconstruction of Human Bodies Abbhinav Venkat (IIIT Hyderabad)*; Sai Sagar (IIIT Hyderabad); Avinash Sharma (CVIT, IIIT-Hyderabad) [PDF] [Video] | |
| 287. | Fast-BoW: Scaling Bag-of-Visual-Words Generation Dinesh Singh (IIT Hyderabad)*; Abhijeet Bhure (IIT Hyderabad); Sumit Mamtani (IIT Hyderabad); C . Krishna Mohan (IIT Hyderabad) [PDF] | |
| 288. | Query-Conditioned Three-Player Adversarial Network for Video Summarization Yujia Zhang (Institue of Automation, Chinese Academy of Sciences.)*; Michael C. Kampffmeyer (Universitet i Tromsø); Xiaodan Liang (Carnegie Mellon University); Min Tan (Institiute of Automation, Chinese academy of sciences); Eric Xing (CMU) [PDF] | |
| 289. | Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image Fuyang Huang (The Chinese University of Hong Kong)*; Ailing Zeng (The Chinese University of Hong Kong); Minhao Liu (The Chinese University of Hong Kong); Jing Qin (The Hong Kong Polytechnic University); Qiang Xu (The Chinese University of Hong Kong) [PDF] | |
| 290. | Chinese Handwriting Imitation with Hierarchical Generative Adversarial Network Jie Chang (Shanghai Jiao Tong University)*; yujun gu (Shanghai Jiaotong University); Ya Zhang (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University); Yan-Feng Wang (Shanghai Jiao Tong University) [PDF] | |
| 291. | Deep Learning intra-image and inter-images features for Co-saliency detection min li (Shanxi Normal University); Shizhong Dong (Shenzhen Institutes of Advanced Technology); kun zhang (whu); Zhifan Gao (University of Western Ontario); Xi Wu (Chengdu University of Information Technology); heye zhang (Shenzhen Institutes of Advanced Technology)*; Guang Yang (Imperial College London); Shuo Li (University of Western Ontario) [PDF] | |
| 292. | Learning Generic Diffusion Processes for Image Restoration Peng Qiao (NUDT)*; yong dou (National Laboratory for Parallel and Distributed Processing, National University of Defense Technology,Changsha,Hunan); Yunjin Chen (ULSee Inc.); Wensen Feng (College of Computer Science & Software Engineering, Shenzhen University) [PDF] | |
| 16:15 - 16:45 | Tea Break, Students Union |
| 16:45 - 18:30 | Orals 4, Students Union: Video, Motion and Actions Chair: Yael Moses |
| 293. | S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks Da Zhang*, UC Santa Barbara; Xiyang Dai, UMD; Xin Wang, University of California, Santa Barbara; Yuan-Fang Wang, UC Santa Barbara [PDF] | |
| 294. | Budget-Aware Activity Detection with A Recurrent Policy Network Behrooz Mahasseni, Apple; Xiaodong Yang*, NVIDIA; Pavlo Molchanov, NVIDIA; Kautz Jan, NVIDIA [PDF] [SUPP] | |
| 295. | From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video Zehua Zhang*, Indiana University; David Crandall, Indiana University; Chen Yu, Indiana University; Sven Bambach, Indiana University [PDF] | |
| 296. | LikeNet: A Siamese Motion Estimation Network Trained in an Unsupervised Way Aria Ahmadi*, Queen Mary University of London; Marras Ioannis, Queen Mary University of London; Ioannis Patras, Queen Mary University of London [PDF] | |
| 297. | Learning Human Optical Flow Anurag Ranjan*, MPI for Intelligent Systems; Javier Romero, MPI-IS; Michael Black, Brown University [PDF] [Video] | |
| 298. | Video Summarisation by Classification with Deep Reinforcement Learning Kaiyang Zhou*, Queen Mary University of London, UK; Tao Xiang, Queen Mary, University of London, UK; ANDREA CAVALLARO, Queen Mary University of London, UK [PDF] | |
| 299. | QuaterNet: A Quaternion-based Recurrent Model for Human Motion Dario Pavllo*, Facebook; David Grangier, Facebook; Michael Auli, Facebook [PDF] [Video] |
| 19:00 - 21:30 | Banquet, Civic Centre |
| Thursday 6th September | |
|---|---|
| 7:30 - 7:45 | Registration, Students Union |
| 7:45 - 8:30 | Coffee & Pastry, Students Union |
| 8:30 - 10:00 | Orals 5, Students Union: Low Level Vision and Computational Photography Chair: Peter Hall |
| 300. | It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data Matteo Ronchi*, California Institute of Technology; Oisin Mac Aodha, Caltech; Robert Eng, Caltech; Pietro Perona, CALTECH, USA [PDF] [SUPP] | |
| 301. | 3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space Masoud Abdi*, Institute for Intelligent Systems Research and Innovation - Deakin University; Ehsan Abbasnejad, Adelaide; Chee Peng Lim, Deakin University; Saeid Nahavandi, Institute for Intelligent Systems Research and Innovation (IISRI)/Deakin University [PDF] | |
| 302. | Self-supervised learning of a facial attribute embedding from video A Koepke*, University of Oxford; Olivia Wiles, University of Oxford; Andrew Zisserman, University of Oxford [PDF] [SUPP] | |
| 303. | Face Verification from Depth using Privileged Information Guido Borghi*, University of Modena and Reggio Emilia; Stefano Pini, University of Modena and Reggio Emilia; Filippo Grazioli, University of Modena and Reggio Emilia; ROBERTO VEZZANI, University of Modena and Reggio Emilia, Italy; Rita Cucchiara, University of Modena and Reggio Emilia [PDF] | |
| 304. | Sign Language Production using Neural Machine Translation and Generative Adversarial Networks Stephanie Stoll*, Centre for Vision, Speech and Signal Processing; Necati Cihan Camgoz, University of Surrey; Simon Hadfield, University of Surrey; Richard Bowden, University of Surrey [PDF] | |
| 305. | CU-Net: Coupled U-Nets Zhiqiang Tang*, Rutgers; Xi Peng, Rutgers University; Shijie Geng, Rutgers; Yizhe Zhu, Rutgers; Dimitris Metaxas, Rutgers [PDF] |
| 10:00 - 10:45 | Tea Break, Students Union |
| 10:45 - 12:00 | Orals 6, Students Union: Computer Vision Applications Chair: Sotirios Tsaftaris |
| 306. | End-to-end Image Captioning Exploits Distributional Similarity in Multimodal Space Pranava Madhyastha*, University of Sheffield; Josiah Wang, University of Sheffield; Lucia Specia, University of Sheffield [PDF] [SUPP] | |
| 307. | Boosting up Scene Text Detectors with Guided CNN Xiaoyu Yue*, SenseTime; Zhanghui Kuang, Sensetime Ltd.; Zhaoyang Zhang, Sensetime Ltd.; Zhenfang Chen, The university of Hong Kong; Pan He, University of Florida; Yu Qiao, Multimedia Laboratory, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Wei Zhang, SenseTime Research [PDF] | |
| 308. | Y-Net: A deep Convolutional Neural Network for Polyp Detection Ahmed Kedir Mohammed*, NTNU; Sule Yildirim-Yayilgan, NTNU; Marius Pedersen, NTNU, Gjovik, Norway; Ivar Farup, NTNU; Øistein Hovde, University of Oslo [PDF] | |
| 309. | Guitar Music Transcription from Silent Video Shir Goldstein*, IDC; Yael Moses, IDC, Israel [PDF] [SUPP] [Video-1] [Video-2] | |
| 310. | Image Retrieval with Mixed Initiative and Multimodal Feedback Nils Murrugarra-Llerena*, University of Pittsburgh; Adriana Kovashka, University of Pittsburgh [PDF] [SUPP] |
| 12:00 - 13:00 | Simple Lunch Bag, Students Union |
| 13:00 - 14:00 | Keynote 3, Students Union Learning Along the Edge of Deep Networks. Rama Chellappa (University of Maryland) Chair: TK Kim |
| 14:00 - 15:45 | Workshop Part 1, Students Union |
| 15:45 - 16:15 | Tea Break, Students Union |
| 16:15 - 18:00 | Workshop Part 2, Students Union |
| Workshops: Thursday 6th September | ||
|---|---|---|
| IAHFAR 2018: Image Analysis for Human Facial and Activity Recognition | ||
| Orals: | ||
| 311. | Graph-based Correlated Topic Model for Motion Patterns Analysis in Crowded Scenes from Tracklets Manal AlGhamdi*, Umm AlQura University; Yoshihiko Gotoh, University of Sheffield, United Kingdom [PDF] | |
| 312. | Online Action Recognition based on Skeleton Motion Distribution Bangli Liu, University of portsmouth; Zhaojie Ju, University of Portsmouth; Naoyuki Kubota, Tokyo Metropolitan University; Honghai Liu*, University of Portsmouth [PDF] | |
| 313. | Git Loss for Deep Face Recognition Ignazio Gallo*, University of Insubria, Department of Theoretical and Applied Sciences (DiSTA); Shah Nawaz, University of Insubria; Alessandro Calefati, University of Insubria, Department of Theoretical and Applied Sciences (DiSTA); Muhammad Kamran Janjua, National University of Sciences and Technology [PDF] | |
| 314. | Bi-stream Region Ensemble Network: Promoting Accuracy in Fingertip Localization from Stereo Images Cairong Zhang, Tsinghua University; Guijin Wang*, Tsinghua University; Xinghao Chen, Tsinghua University; huazhong yang, tsinghua university [PDF] | |
| 315. | Practical Action Recognition with Manifold Regularized Sparse Representations Lining Zhang*, University of Portsmouth; Rinat Khusainov, Portsmouth University; John chiverton, University of Portsmouth [PDF] | |
| 316. | CAKE: a Compact and Accurate K-dimensional representation of Emotion Corentin Kervadec, Orange Labs; Valentin Vielzeuf*, Orange Labs / University of Caen; Stephane Pateux, Orange Labs; Alexis Lechervy, University of Caen; Frederic Jurie, University of Caen [PDF] | |
| Posters: | ||
| 317. | Feature Selection Mechanism in CNNs for Facial Expression Recognition Shuwen Zhao, Zhejiang University of Technology; Haibin Cai, University of portsmouth; Honghai Liu, University of Portsmouth; Jianhua Zhang*, Zhejiang University of Technology; Shengyong Chen, Tianjin University of Technology [PDF] | |
| 318. | A Deep Variational Autoencoder Approach for Robust Facial Symmetrization Ting Wang, Shandong University of Science and Technology; Shu Zhang*, Ocean University of China; Junyu Dong, Ocean University of China; Yongquan Liang, Shandong University of Science and Technology [PDF] | |
| 319. | Palmprint Recognition System with Double-assistant-point on iOS Mobile Devices Lu Leng*, Nanchang Hangkong University [PDF] | |
| 320. | Person Part Segmentation based on Weak Supervision Yalong Jiang*, The Hong Kong Polytechnic University; Zheru Chi, The Hong Kong Polytechnic University [PDF] | |
| 321. | Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition Zheming Zuo, Northumbria University; Daniel Organisciak, Northumbria University; Hubert P. H. Shum, Northumbria University; Longzhi Yang*, Northumbria [PDF] | |
| CVPPP 2018: Computer Vision Problems in Plant Phenotyping | ||
|---|---|---|
| CVPPP 2018 Editorial [PDF] | ||
| Orals: | ||
| 322. | A New 4D-RGB Mapping Technique for Field-Based High-Throughput Phenotyping Ali Shafiekhani (University of Missouri-Columbia)*; Felix B. Fritschi (University of Missouri-Columbia); Guilherme DeSouza (University of Missouri) [PDF] | |
| 323. | Low-cost vision machine for high-throughput automated monitoring of heterotrophic seedling growth on wet paper support Pejman Rasti (University of Angers)*; Didier Demilly (Station Nationale d’Essais de Semences (SNES - GEVES)); Landry Benoit (University of Angers); Etienne Belin (University of Angers); Sylvie DUCOURNAU (Station Nationale d’Essais de Semences (SNES - GEVES)); Francois CHAPEAU-BLONDEAU (University of Angers); David ROUSSEAU (Université d'Angers) [PDF] | |
| 324. | Data Augmentation using Conditional Generative Adversarial Networks for Leaf Counting in Arabidopsis Plants Yezi Zhu (Eindhoven University of Technology)*; Marc Aoun (Signify); Marcel Krijn (Signify); Joaquin Vanschoren (Eindhoven University of Technology) [PDF] | |
| 325. | Root Gap Correction with a Deep Inpainting Model Hao Chen (The University of Edinburgh)*; Mario Valerio Giuffrida (University of Edinburgh); Sotirios Tsaftaris (The University of Edinburgh); Peter Doerner (University of Edinburgh) [PDF] | |
| 326. | Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN John Atanbori (University of Nottingham)*; Feng Chen (University of Nottingham); Andrew P French (University of Nottingham); Tony Pridmore (University of Nottingham) [PDF] | |
| 327. | Deep Leaf Segmentation Using Synthetic Data Daniel C Ward (CSIRO); Peyman Moghadam (CSIRO)*; Nicolas Hudson (CSIRO) [PDF] | |
| 328. | Leaf counting: Multiple scale regression and detection using deep CNNs Yotam Itzhaky (Ben Gurion University of the Negev); guy farjon (Ben Gurion University)*; Faina Khoroshevsky (Ben-Gurion University of the Negev); Alon Shpigler (Ben Gurion University); Aharon Bar-Hillel () [PDF] | |
| Posters: | ||
| 329. | Instance segmentation for assessment of plant growth dynamics in artificial soilless conditions Dmitrii G Shadrin (Skolkovo institute of Science and Technology)*; Victor Kulikov (Skoltech); Maxim Fedorov (Skolkovo Institute of Science and Technology) [PDF] | |
| 330. | What’s That Plant? WTPlant is a Deep Learning System to Identify Plants in Natural Images Jonas Krause (University of Hawaii at Manoa)*; Gavin Sugita (University of Hawaii at Manoa); Kyungim Baek (University of Hawaii at Manoa); Lipyeow Lim (University of Hawaii at Manoa) [PDF] | |
| 331. | Soybean Leaf Coverage Estimation for Field-Phenotyping Kevin Keller (ETHZ); Raghav Khanna (ETH Zurich); Norbert Kirchgessner (ETH Zurich); Roland Siegwrat (ETH Zürich Autonomous Systems Lab); Achim Walter (ETZ Zurich); Helge Aasen (ETH Zurich)* [PDF] | |
| VIBE 2018: Vision for Interaction and Behaviour undErstanding | ||
|---|---|---|
| 332. | AHA-3D: A Labelled Dataset for Senior Fitness Exercise Recognition and Segmentation from 3D Skeletal Data João Antunes (Carnegie Mellon University); Alexandre Bernardino (Instituto Superior Técnico Lisboa); Asim Smailagic (Carnegie Mellon University); Daniel Siewiorek (Carnegie Mellon University) [PDF] | |
| 333. | Unsupervised Speaker Cue Usage Detection in Public Speaking Videos Anshul Gupta (Multimodal Perception Lab); Dinesh Babu Jayagopi (Multimodal Perception Lab); [PDF] | |
| 334. | Tactile Logging for Understanding Plausible Tool Use Based on Human Demonstration Shuichi Akizuki ( Keio University); Yoshimitsu Aoki (Keio University); [PDF] | |
| 335. | Online Multiple View Tracking: Targets Association Across Cameras Quoc Cuong LE (LIFAT, University of Tours); Donatello Conte ( LIFAT, University of Tours); Moncef Hidane (Computer Science Department INSA Centre Val de Loire); [PDF] | |