BMVC 2018 Programme

Monday 3rd September
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
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
1. Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision
Paul Henderson*, University of Edinburgh; Vittorio Ferrari, University of Edinburgh
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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)
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] [Video]
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] [SUPP] [Video]
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] [SUPP] [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] [SUPP] [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] [SUPP] [Video]
14. Propagating Confidences through CNNs for Sparse Data Regression
Abdelrahman Eldesokey (Linköping University)*; Michael Felsberg (Linköping University); Fahad Shahbaz Khan (Linköping University)
[PDF] [SUPP] [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] [SUPP] [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] [SUPP] [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] [Video]
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] [SUPP] [Video]
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] [SUPP] [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] [SUPP] [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] [SUPP] [Video]
24. Propagating Confidences through CNNs for Sparse Data Regression
Abdelrahman Eldesokey (Linköping University)*; Michael Felsberg (Linköping University); Fahad Shahbaz Khan (Linköping University)
[PDF] [SUPP] [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] [SUPP] [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] [SUPP] [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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
36. Efficient Progressive Neural Architecture Search
Juan-Manuel Perez-Rua (Orange Labs)*; Moez Baccouche (Orange Labs); Stephane Pateux (Orange Labs)
[PDF] [SUPP] [Video]
37. Learning on the Edge: Explicit Boundary Handling in CNNs
Carlo Innamorati (University College London)*; Niloy Mitra (University College London)
[PDF] [SUPP] [Video]
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] [Video]
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] [Video]

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] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
46. Mass Displacement Networks
Natalia Neverova (Facebook AI Research)*; Iasonas Kokkinos (Facebook AI Research)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
51. Improving Image Clustering With Multiple Pretrained CNN Feature Extractors
Joris Guerin (ENSAM)*; Byron Boots (Georgia Institute of Technology)
[PDF] [SUPP] [Video]
52. Informed Democracy: Voting-based Novelty Detection for Action Recognition
Alina Roitberg (KIT)*; Ziad Al-Halah (KIT); Rainer Stiefelhagen (Karlsruhe Institute of Technology)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
56. Zero-Shot Object Detection by Hybrid Region Embedding
Berkan Demirel (HAVELSAN Inc. & METU); Ramazan Gokberk Cinbis (METU)*; Nazli Ikizler-Cinbis (Hacettepe University)
[PDF] [SUPP] [Video]
57. Story Understanding in Video Advertisements
Keren Ye (University of Pittsburgh)*; Kyle Buettner (University of Pittsburgh); Adriana Kovashka (University of Pittsburgh)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
62. Super-resolution of Very Low Resolution Faces from Videos
"Esra Ataer-Cansizogle (MERL); Michael Jones (MERL)"
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
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] [Video]
66. Dynamic Super-Rays for Efficient Light Field Video Processing
Matthieu Hog (Technicolor)*; Neus Sabater (Technicolor); Christine Guillemot (INRIA)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
70. Self-supervised Deep Multiple Choice Learning Network for Blind Image Quality Assessment
Kwan-Yee Lin (Peking university)*; Guanxiang Wang (Peking University)
[PDF] [SUPP] [Video]
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] [Video]
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] [Video]
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] [Video]
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] [SUPP] [Video]
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]
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] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
79. Few-Shot Semantic Segmentation with Prototype Learning
Nanqing Dong (Cornell University)*; Eric Xing (Petuum Inc.)
[PDF] [SUPP] [Video]
80. SymmNet: A Symmetric Convolutional Neural Network for Occlusion Detection
Ang Li (Xi‘an Jiaotong University)*; Zejian Yuan (Xi‘an Jiaotong University)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
86. ProFlow: Learning to Predict Optical Flow
Daniel Maurer (University of Stuttgart)*; Andrés Bruhn (University of Stuttgart)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
88. Adaptive Time-Slice Block-Matching Optical Flow Algorithm for Dynamic Vision Sensors
Min Liu (Institute of Neuroinformatics)*; Tobi Delbruck (Nil)
[PDF] [SUPP] [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] [Video]
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] [SUPP] [Video]
91. Deep active learning for object detection
Soumya Roy (IIT, Kanpur)*; Asim Unmesh (IIT, Kanpur); Vinay P Namboodiri (IIT Kanpur)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
99. GAN-based Semi-supervised Learning On Fewer Labeled Samples
Takumi Kobayashi (National Institute of Advanced Industrial Science and Technology)*
[PDF] [SUPP] [Video]
100. Generative Adversarial Guided Learning for Domain Adaptation
Kai-Ya Wei (National Tsing Hua University); Chiou-Ting Hsu (National Tsing Hua University)*
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
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] [SUPP] [Video]
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] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
111. Multicolumn Networks for Face Recognition
Weidi Xie (University of Oxford)*; Andrew Zisserman (University of Oxford)
[PDF] [SUPP] [Video]
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] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
117. Guided Upsampling Network for Real-Time Semantic Segmentation
Davide Mazzini (University of Milano-Bicocca)*
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
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] [Video]
122. Large scale evaluation of local image feature detectors on homography datasets
Karel Lenc (University of Oxford)*; Andrea Vedaldi (Oxford University)
[PDF] [SUPP] [Video]
123. Error Correction Maximization for Deep Image Hashing
Xiang Xu (Carnegie Mellon University)*; Xiaofang Wang (Carnegie Mellon University); Kris Kitani (CMU)
[PDF] [SUPP] [Video]
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] [Video]
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] [Video]
126. Accurate Detection and Localization of Checkerboard Corners for Calibration
Alexander Duda (Kraken Robotik GmbH)*; Udo Frese (DFKI)
[PDF] [SUPP] [Video]
127. 3D Object Structure Recovery via Semi-supervised Learning on Videos
Qian He (ShanghaiTech University)*; Desen Zhou (ShanghaiTech University); Xuming He (ShanghaiTech University)
[PDF] [SUPP] [Video]
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] [Video]
129. 3D Human Pose Estimation with Relational Networks
Sungheon Park (Seoul National University)*; Nojun Kwak (Seoul National University)
[PDF] [SUPP] [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] [Video]
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] [Video]
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] [SUPP] [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] [SUPP] [Video]
135. DeSTNet: Densely Fused Spatial Transformer Networks
Roberto Annunziata (Onfido)*; Christos Sagonas (Onfido); Jacques Cali (Onfido)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
137. Future Semantic Segmentation with Convolutional LSTM
Seyed shahabeddin Nabavi (University of Manitoba)*; Mrigank Rochan (University of Manitoba); Yang Wang (University of Manitoba)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
141. The Minimalist Camera
"Parita Pooj ( Columbia University)*; Michael Grossberg (City University of New York); Peter Belhumeur ( Columbia University); Shree Nayar ( Columbia University)"
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
143. Local Point Pair Feature Histogram for Accurate 3D Matching
Anders G Buch (University of Southern Denmark)*; Dirk Kraft (Syddansk Universitet)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
16:15 - 16:45 Tea Break, Students Union
16:45 - 18:30 Orals 2, Students Union: Learning and Recognition
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] [SUPP] [Video]
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] [SUPP] [Video]
147. BAM: Bottleneck Attention Module
Jongchan Park*, KAIST; Sanghyun Woo, KAIST; Joon-Young Lee, Adobe Research; In So Kweon, KAIST
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
150. Efficient Progressive Neural Architecture Search
Juan-Manuel Perez-Rua*, Orange Labs; Moez Baccouche, Orange Labs; Stephane Pateux, Orange Labs
[PDF] [SUPP] [Video]
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] [Video]
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
152. Direct Shot Correspondence Matching
"Umer Rafi (RWTH Aachen University)*; Jurgen Gall (University of Bonn); Bastian Leibe (RWTH Aachen University); "
[PDF] [SUPP] [Video]
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] [Video]
154. Semantic Priors for Intrinsic Image Decomposition
Saurabh Saini*, International Institute of Information Technology Hyderabad; P. J. Narayanan, IIIT-Hyderabad
[PDF] [SUPP] [Video]
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] [Video]
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] [Video]
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] [SUPP] [Video]
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)
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] [SUPP] [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] [SUPP] [Video]
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] [SUPP] [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] [SUPP] [Video]
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] [SUPP] [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] [SUPP] [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] [SUPP] [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] [SUPP] [Video]
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] [SUPP] [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] [SUPP] [Video]
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] [SUPP] [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] [SUPP] [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] [Video]
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] [Video]
178. Direct Shot Correspondence Matching
Umer Rafi (RWTH Aachen University)*; Bastian Leibe (RWTH Aachen University-); Jurgen Gall (University of Bonn)
[PDF] [SUPP] [Video]
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] [Video]
180. Semantic Priors for Intrinsic Image Decomposition
Saurabh Saini (International Institute of Information Technology Hyderabad)*; P. J. Narayanan (IIIT-Hyderabad)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
183. Budget-Aware Activity Detection with A Recurrent Policy Network
"Behrooz Mahasseni (Apple); Xiaodong Yang (NVIDIA)*; Pavlo Molchanov (NVIDIA); Jan Kautz (NVIDIA)"
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [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] [SUPP] [Video]
188. QuaterNet: A Quaternion-based Recurrent Model for Human Motion
Dario Pavllo (Facebook)*; David Grangier (Facebook); Michael Auli (Facebook)
[PDF] [SUPP] [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] [Video]
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] [SUPP] [Video]
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] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
194. CU-Net: Coupled U-Nets
Zhiqiang Tang (Rutgers)*; Xi Peng (Rutgers University); Shijie Geng (Rutgers); Yizhe Zhu (Rutgers); Dimitris Metaxas (Rutgers)
[PDF] [SUPP] [Video]
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] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]

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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
204. Self-attention Learning for Person Re-identification
Minyue Jiang (Northwestern Polytechnical University); Yuan Yuan ( Northwestern Polytechnical University); Qi Wang (Northwestern Polytechnical University)*
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
206. Asymmetric Spatio-Temporal Embeddings for Large-Scale Image-to-Video Retrieval
Noa Garcia (Aston University)*; George Vogiatzis (Aston University)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
209. Regional Attention Based Deep Feature for Image Retrieval
Jaeyoon Kim (KAIST); Sungeui Yoon (KAIST)*
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
212. Iteratively Trained Interactive Segmentation
Sabarinath Mahadevan (RWTH Aachen University)*; Paul Voigtlaender (RWTH Aachen University); Bastian Leibe (RWTH Aachen University-)
[PDF] [SUPP] [Video]
213. Feature Contraction: New ConvNet Regularization in Image Classification
Vladimir Li (KTH Royal Institute of Technology)*; Atsuto Maki (KTH Royal Institute of Technology)
[PDF] [SUPP] [Video]
214. Deep Attentional Structured Representation Learning for Visual Recognition
Krishna Kanth Nakka (EPFL)*; Mathieu Salzmann (EPFL)
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
216. Parsing Pose of People with Interaction
"Serim Ryou (California Institute of Technology)*; Pietro Perona (California Institute of Technology)"
[PDF] [SUPP] [Video]
217. A Highly Accurate Feature Fusion Network For Vehicle Detection In Surveillance Scenarios
"Jianqiang Wang (THU)*; Ya-Li Li (THU); Shengjin Wang (THU); "
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
224. Resembled Generative Adversarial Networks: Two Domains with Similar Attributes
Duhyeon Bang (Yonsei university); Hyunjung Shim (Yonsei University)*
[PDF] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [SUPP] [Video]
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] [Video]
230. Exploiting Non-Local Action Relationships for Dense Video Captioning
Lechao Cheng (Zhejiang University)*; Zicheng Liao (); Xiaowei Zhao (Alibaba); Yang Liu (Alibaba Group)
[PDF] [SUPP] [Video]
231. 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] [SUPP] [Video]
232. 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] [SUPP] [Video]
233. 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] [SUPP] [Video]
234. 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] [SUPP] [Video]
235. Multiplicative vs. Additive Half-Quadratic Minimization for Robust Cost Optimization
Christopher Zach (Toshiba Research)*; Guillaume M Bourmaud (University of Bordeaux)
[PDF] [SUPP] [Video]
236. 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] [SUPP] [Video]
237. 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] [SUPP] [Video]
238. 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] [SUPP] [Video]
239. 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] [SUPP] [Video]
240. Action Recognition with the Augmented MoCap Data using Neural Data Translation
Shih-Yao Lin (Tencent America LLC)*; Yen-Yu Lin (Academia Sinica)
[PDF] [SUPP] [Video]
241. 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] [Video]
242. 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] [SUPP] [Video]
243. 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] [SUPP] [Video]
244. 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] [SUPP] [Video]
245. Learning Regularization Weight for CRF Optimization
Jiaxiao Wu (University of Western Ontario); Olga Veksler (University of Western Ontario)*
[PDF] [SUPP] [Video]
246. 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] [Video]
247. 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] [SUPP] [Video]
248. 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]
249. 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] [SUPP] [Video]
250. 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] [SUPP] [Video]
251. Reciprocal Attention Fusion for Visual Question Answering
Moshiur R Farazi (Australian National University (ANU))*; Salman Khan (Australian National University (ANU))
[PDF] [SUPP] [Video]
252. 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] [SUPP] [Video]
253. 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] [SUPP] [Video]
254. 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] [SUPP] [Video]
255. Learning Human Poses from Actions
Aditya Arun (IIIT Hyderabad)*; C.V. Jawahar (IIIT-Hyderabad); M. Pawan Kumar (University of Oxford)
[PDF] [SUPP] [Video]
256. 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]
257. 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] [SUPP] [Video]
258. 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] [SUPP] [Video]
259. 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] [SUPP] [Video]
260. 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] [Video]
261. 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] [SUPP] [Video]
262. 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]
263. 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] [SUPP] [Video]
264. 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] [SUPP] [Video]
265. 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] [Video]
266. A New Benchmark and Progress Toward Improved Weakly Supervised Learning
"Jason Ramapuram (University of Geneva); Russ Webb (Apple)*"
[PDF] [SUPP] [Video]
267. 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] [Video]
268. Deep Segmentation and Registration in X-Ray Angiography Video
Athanasios Vlontzos (Imperial College London)*; Krystian Mikolajczyk (Imperial College London)
[PDF] [SUPP] [Video]
269. 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] [SUPP] [Video]
270. 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] [SUPP] [Video]
271. Part-based Graph Convolutional Network for Action Recognition
Kalpit C Thakkar (International Institute of Information Technology, Hyderabad)*; P. J. Narayanan (IIIT-Hyderabad)
[PDF] [SUPP] [Video]
272. 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] [Video]
273. 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] [SUPP] [Video]
274. Region-Object Relevance-Guided Visual Relationship Detection
Yusuke Goutsu (National Institute of Informatics)*
[PDF] [SUPP] [Video]
275. Learning Finer-class Networks for Universal Representations
Julien Girard (CEA); Youssef Tamaazousti (CEA LIST)*; Herve Le Borgne (CEA LIST); Céline Hudelot (CentraleSupélec)
[PDF] [SUPP] [Video]
276. 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] [Video]
277. Self-Paced Learning with Adaptive Deep Visual Embeddings
Vithursan Thangarasa (University of Guelph)*; Graham Taylor (University of Guelph)
[PDF] [SUPP] [Video]
278. Robust 6D Object Pose Estimation with Stochastic Congruent Sets
Chaitanya Mitash (Rutgers University)*; Abdeslam Boularias (Rutgers University); Kostas Bekris (Rutgers University)
[PDF] [SUPP] [Video]
279. 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] [SUPP] [Video]
280. 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] [SUPP] [Video]
281. 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] [Video]
282. 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] [SUPP] [Video]
283. 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] [Video]
284. 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] [SUPP] [Video]
285. 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] [SUPP] [Video]
286. 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] [SUPP] [Video]
287. Deep Textured 3D Reconstruction of Human Bodies
Abbhinav Venkat (IIIT Hyderabad)*; Sai Sagar (IIIT Hyderabad); Avinash Sharma (CVIT, IIIT-Hyderabad)
[PDF] [SUPP] [Video]
288. 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] [SUPP] [Video]
289. 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] [SUPP] [Video]
290. 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] [SUPP] [Video]
291. 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] [SUPP] [Video]
292. 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] [SUPP] [Video]
293. 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] [SUPP] [Video]
16:15 - 16:45 Tea Break, Students Union
16:45 - 18:30 Orals 4, Students Union: Video, Motion and Actions
294. 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] [SUPP] [Video]
295. Budget-Aware Activity Detection with A Recurrent Policy Network
Behrooz Mahasseni, Apple; Xiaodong Yang*, NVIDIA; Pavlo Molchanov, NVIDIA; Kautz Jan, NVIDIA
[PDF] [SUPP] [Video]
296. 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] [SUPP] [Video]
297. 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] [SUPP] [Video]
298. Learning Human Optical Flow
Anurag Ranjan*, MPI for Intelligent Systems; Javier Romero, MPI-IS; Michael Black, Brown University
[PDF] [SUPP] [Video]
299. 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] [SUPP] [Video]
300. QuaterNet: A Quaternion-based Recurrent Model for Human Motion
Dario Pavllo*, Facebook; David Grangier, Facebook; Michael Auli, Facebook
[PDF] [SUPP] [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
301. 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] [Video]
302. 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] [SUPP] [Video]
303. 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] [Video]
304. 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] [SUPP] [Video]
305. 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] [SUPP] [Video]
306. CU-Net: Coupled U-Nets
Zhiqiang Tang*, Rutgers; Xi Peng, Rutgers University; Shijie Geng, Rutgers; Yizhe Zhu, Rutgers; Dimitris Metaxas, Rutgers
[PDF] [SUPP] [Video]
10:00 - 10:45 Tea Break, Students Union
10:45 - 12:00 Orals 6, Students Union: Computer Vision Applications
307. 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] [Video]
308. 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] [SUPP] [Video]
309. 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] [SUPP] [Video]
310. Guitar Music Transcription from Silent Video
Shir Goldstein*, IDC; Yael Moses, IDC, Israel
[PDF] [SUPP] [Video]
311. Image Retrieval with Mixed Initiative and Multimodal Feedback
Nils Murrugarra-Llerena*, University of Pittsburgh; Adriana Kovashka, University of Pittsburgh
[PDF] [SUPP] [Video]
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)
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:
312. 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]
313. 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]
314. 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]
315. 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]
316. Practical Action Recognition with Manifold Regularized Sparse Representations
Lining Zhang*, University of Portsmouth; Rinat Khusainov, Portsmouth University; John chiverton, University of Portsmouth
[PDF]
317. 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:
318. 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]
319. 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]
320. Palmprint Recognition System with Double-assistant-point on iOS Mobile Devices
Lu Leng*, Nanchang Hangkong University
[PDF]
321. Person Part Segmentation based on Weak Supervision
Yalong Jiang*, The Hong Kong Polytechnic University; Zheru Chi, The Hong Kong Polytechnic University
[PDF]
322. 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:
323. 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]
324. 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]
325. 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]
326. 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]
327. 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]
328. Deep Leaf Segmentation Using Synthetic Data
Daniel C Ward (CSIRO); Peyman Moghadam (CSIRO)*; Nicolas Hudson (CSIRO)
[PDF]
329. 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:
330. 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]
331. 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]
332. 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]
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