Monday, November 21–Wednesday, November 23
| Day 1: Monday, November 21 |
Day 2: Tuesday, November 22 |
Day 3: Wednesday, November 23 |
|
| 08：00 | Registration starts | 08:30 Registration starts | 08:30 Registration starts |
| 08：45–09：00 | Opening session | ||
| 09：00–10：30 | Oral session 1 | Oral session 3 | Oral session 5 |
| 10：30–11：00 | Coffee break | Coffee break | Coffee break |
| 11：00–12：00 |
Keynote: Prof. Jitendra Malik |
Keynote: Prof. Katsushi Ikeuchi |
Keynote: Prof. Marc Pollefeys |
| 12：00–13：30 | Lunch break | Lunch break | Lunch break |
| 13：30–15：30 |
Poster session 1 Demos |
Poster session 2 Demos |
Poster session 3 Demos |
| 15：30–16：00 | Coffee break | Coffee break | Coffee break |
| 16：00–17：15 | Oral session 2 | Oral session 4 | Oral session 6 |
| 18：30–21：30 | Banquet at Humble House (Cultural and entertainment activities start at 5:30 pm.) |
Oral sessions
Day 1: Monday, November 21
| No. | SESSION 1: Segmentation and Classification |
| O1-1 | Realtime Hierarchical Clustering based on Boundary and Surface Statistics Dominik Klein, Fraunhofer FKIE; Dirk Schulz, Fraunhofer FKIE; Armin Cremers, Bonn-Aachen International Center for Information Technology |
| O1-2 | Weakly-supervised Video Scene Co-parsing Guangyu Zhong, Dalian University of Technolog; Yi-Hsuan Tsai, UC Merced; Ming-Hsuan Yang, UC Merced |
| O1-3 | Supervoxel-based Segmentation of 3D Volumetric Images Chengliang Yang, University of Florida; Manu Sethi, University of Florida; Anand Rangarajan, University of Florida; Sanjay Ranka, University of Florida |
| O1-4 | Message Passing on the Two-Layer Network for Geometric Model Fitting Xing Wang, Xiamen University ; Guobao Xiao, Xiamen University; Yan Yan, Xiamen University; Hanzi Wang, Xiamen University |
| O1-5 | Deep Supervised Hashing with Triplet Labels Xiaofang Wang, Carnegie Mellon University; Yi Shi, Carnegie Mellon University; Kris Kitani, Carnegie Mellon University |
| O1-6 | Boosting Zero-Shot Image Classification via Pairwise Relationship Learning Hanhui Li, Sun Yat-sen University; Hefeng Wu, Guangdong University of Foreign Studies,; Shujin Lin, Sun Yat-sen University; Liang Lin, Sun Yat-sen University; Xiaonan Luo, Sun Yat-sen University; Ebroul Izquierdo, Queen Mary University of London |
| No. | SESSION 2: People and Actions |
| O2-1 | Sparse Code Filtering for Action Pattern Mining Wei Wang, University of Trento; Yan Yan, University of Trento; Liqiang Nie, National University of Singapore; Luming Zhang, Advanced Digital Sciences Center; Stefan Winkler, Hefei University of Technology; Nicu Sebe, University of Trento |
| O2-2 | Learning Action Concept Trees and Semantic Alignment Networks from Image-Description Data Jiyang Gao, University of Southern California; Ram Nevatia, University of Southern California |
| O2-3 | Pedestrian Color Naming via Convolutional Neural Network Zhiyi Cheng, The Chinese University of Hong Kong; Xiaoxiao Li, The Chinese University of Hong Kong; Chen Change Loy, The Chinese University of Hong Kong |
| O2-4 | Speed Invariance vs. Stability: Cross-Speed Gait Recognition Using Single-Support Gait Energy Image Chi Xu, Nanjing University of Science & Technology / Osaka University ; Yasushi Makihara, Osaka University; Xiang Li, Nanjing University of Science & Technology / Osaka Univ.; Yasushi Yagi, Osaka University; Jianfeng Lu, Nanjing University of Science & Technology |
| O2-5 | Parametric Image Segmentation of Humans with Structural Shape Priors Alin Popa, Institute of Mathematics of the Romanian Academy; Cristian Sminchisescu, Lund University |
Day 2: Tuesday, November 22
| No. | SESSION 3: Faces |
| O3-1 | Lip Reading in the Wild Joon Son Chung, University of Oxford; Andrew Zisserman, University of Oxford |
| O3-2 | Recurrent Convolutional Face Alignment Wei Wang, University of Trento; Sergey Tulyakov, University of Trento; Nicu Sebe, University of Trento |
| O3-3 | Continuous Supervised Descent Method for Facial Landmark Localisation Marc Oliu, University of Barcelona; Ciprian Corneanu, University of Barcelona; L´aszl´o A. Jeni, Carnegie Mellon University; Jeffrey F. Cohn, Carnegie Mellon University and University of Pittsburgh; Takeo Kanade, Carnegie Mellon University; Sergio Escalera, University of Barcelona |
| O3-4 | Modeling Stylized Character Expressions via Deep Learning Deepali Aneja, University of Washington; Alex Colburn, Zillow Group; Gary Faigin, Gage Academy of Art; Linda Shapiro, University of Washington; Barbara Mones, University of Washington |
| O3-5 | Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units Stefanos Eleftheriadis, Imperial College London; Ognjen Rudovic, Imperial College London; Marc Deisenroth, Imperial College London; Maja Pantic, Imperial College London |
| O3-6 | Multi-instance Dynamic Ordinal Random Fields for weakly-supervised pain intensity estimation Adrià Ruiz, Universitat Pompeu Fabra; Ognjen Rudovic, Imperial College London; Xavier Binefa, Universitat Pompeu Fabra; Maja Pantic, Imperial College London |
| No. | SESSION 4: Computational Photography and Image Processing |
| O4-1 | Blind Image Quality Assessment Based on Natural Redundancy Statistics Jia Yan, Wuhan University; Weixia Zhang, Wuhan University; Tianpeng Feng, Wuhan University |
| O4-2 | Sparse Coding on Cascaded Residuals Tong Zhang, The Australian National Univ.; Fatih Porikli, Australian National University / CSIRO |
| O4-3 | End-To-End Learning for Image Burst Deblurring Patrick Wieschollek, University of Tuebingen; Bernhard Schölkopf, Max Planck Institute for Intelligent Systems; Hendrik P.A. Lensch, University of Tubingen; Michael Hirsch, Max Planck Institute for Intelligent Systems |
| O4-4 | Spectral Reflectance Recovery with Interreflection Using a Hyperspectral Image Hiroki Ohkawa, Tokyo Institute of Technology; Yinqiang Zheng, National Institute of Informatics; Antony Lam, Saitama University; Imari Sato, National Institute of Informatics |
| O4-5 | Learning Contextual Dependencies for Optical Flow with Recurrent Neural Networks Minlong Lu, Zhejiang University; Zhiwei Deng, Simon Fraser University; Ze-Nian Li, Simon Fraser University |
Day 3: Wednesday, November 23
| No. | SESSION 5: Language and Video |
| O5-1 | Auto-Illustrating Poems and Songs with Style Katharina Schwarz, University of Tübingen; Tamara Berg, UNC Chapel Hill; Hendrik P.A. Lensch, University of Tubingen |
| O5-2 | Spatio-Temporal Attention Models for Grounded Video Captioning Elisabeta Marinoiu, Institute of Mathematics of the Romanian Academy; Mihai Zanfir, Institute of Mathematics of the Romanian Academy; Cristian Sminchisescu, Lund University |
| O5-3 | Variational Convolutional Networks for Human-Centric Annotations Tsung-Wei Ke, Academia Sinica; Che-Wei Lin, Appier Inc; Tyng-Luh Liu, Academia Sinica; Davi Geiger, NYU |
| O5-4 | Anticipating Accidents in Dashcam Videos Fu-Hsiang Chan, National Tsing Hua University; Yu-Ting Chen, National Tsing Hua University; Yu Xiang, Stanford University; Min Sun, National Tsing Hua University |
| O5-5 | Pano2Vid: Automatic Cinematography for Watching 360-Degree Videos Yu-Chuan Su, University of Texas at Austin; Dinesh Jayaraman, University of Texas at Austin; Kristen Grauman, University of Texas at Austin |
| O5-6 | PicMarker: Data-Driven Image Categorization Based on Iterative Clustering Jiagao Hu, Nanjing University; Zhengxing Sun, Nanjing University; Bo Li, Nanjing University; Shuang Wang, Nanjing University |
| No. | SESSION 6: 3D Vision |
| O6-1 | Divide and Conquer: Efficient Density-Based Tracking of 3D Sensors in Manhattan Worlds Yi Zhou, Australian National University; Laurent Kneip, Australian National University; Cristian Rodriguez, Australian National University; Hongdong Li, Australian National University |
| O6-2 | Visual Saliency Detection for RGB-D Images with Generative Model Song-Tao Wang, Harbin University of Science & Technology and Beijing Academy of Science and Technology; Zhen Zhou, Harbin University of Science & Technology; Han-Bing Qu, Beijing Academy of Science and Technology; Bin Li, Beijing Academy of Science and Technology |
| O6-3 | A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method Yuzhuo Ren, University of Southern California; Shangwen Li, University of Southern California; Chen Chen, University of Southern California; C.-C. Jay Kuo, University of Southern California |
| O6-4 | Unifying Algebraic Solvers for Scaled Euclidean Registration from Point, Line and Plane Constraints Folker Wientapper, Fraunhofer IGD; Arjan Kuijper, TU Darmstadt |
| O6-5 | Generalized Fusion Moves for Continuous Label Optimization Christopher Zach, Toshiba Research Europe |
Poster sessions
Day 1: Monday, November 21
| No. | Segmentation and Semantic Segmentation |
| P1-01 | Hierarchical Supervoxel Graph for Interactive Video Object Representation and Segmentation Xiang Fu, USC; Changhu Wang, Microsoft; C.-C. Jay Kuo, USC |
| P1-02 | Learning to Generate Object Segmentation Proposals with Multi-modal Cues Haoyang Zhang, The Australian National University and CSIRO; Xuming He, The Australian National University and CSIRO; Fatih Porikli, The Australian National University and CSIRO |
| P1-03 | Saliency Detection via Diversity-Induced Multi-view Matrix Decomposition Xiaoli Sun, Shenzhen University; Zhixiang He, Shenzhen University; Xiujun Zhang, Shenzhen Polytechnic; Wenbin Zou, Shenzhen University; George Baciu, Hongkong Ploytechnic University |
| P1-04 | Parallel Accelerated Matting Method Based on Local Learning Xiaoqiang Li, Shanghai University; Qing Cui, Shanghai University |
| P1-05 | Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation Huiling Wang, Aalto University; Tapani Raiko, Aalto University; Lasse Lensu, Lappeenranta University of Technology; Tinghuai Wang, Nokia Technologies; Juha Karhunen, Aalto University |
| P1-06 | Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-Scale Deep Networks Nicolas Audebert, ONERA; Bertrand Le Saux, ONERA; Sébastien Lefèvre, IRISA |
| P1-07 | Object Boundary Guided Semantic Segmentation Qin Huang, USC; Chunyang Xia, USC; Wenchao Zheng, USC; Yuhang Song, USC; Hao Xu, USC; C.-C. Jay Kuo, USC |
| P1-08 | FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture Caner Hazırbaş, TU München; Lingni Ma, TU München; Csaba Domokos, TU München; Daniel Cremers, TU München |
| P1-09 | Point-Cut: Interactive Image Segmentation using point Supervision Changjae Oh, Yonsei University; Bumsub Ham, Yonsei University; Kwanghoon Sohn, Yonsei University |
| P1-10 | A Holistic Approach for Data-Driven Object Cutout Huayong Xu, Shandong University; Yangyan Li, Tel Aviv University; Wenzheng Chen, Shandong University; Dani Lischinski, Hebrew University of Jerusalem; Daniel Cohen-Or, Tel Aviv University; Baoquan Chen, Shandong University |
| P1-11 | Interactive Segmentation from 1-Bit Feedback Ding-Jie Chen, National Tsing Hua University; Hwann-Tzong Chen, National Tsing Hua University; Long-Wen Chang, National Tsing Hua University |
| P1-12 | Geodesic Distance Histogram Feature for Video Segmentation Hieu Le, Stony Brook University; Vu Nguyen, Stony Brook University; Chen-Ping Yu, Stony Brook University; Dimitris Samaras, Stony Brook University |
| P1-13 | HF-FCN: Hierarchically Fused Fully Convolutional Network for Robust Building Extraction Tongchun Zuo, University of Science and Technology of China; Juntao Feng, University of Science and Technology of China; Xuejin Chen, University of Science and Technology of China |
| No. | Dictionary Learning, Retrieval, and Clustering |
| P1-14 | Dictionary Reduction: Automatic Compact Dictionary Learning for Classification Yang Song, University of Tennessee, Knoxville; Zhifei Zhang, University of Tennessee, Knoxville; Liu Liu, University of Tennessee, Knoxville; Alireza Rahimpour, University of Tennessee, Knoxville; Hairong Qi, University of Tennessee, Knoxville |
| P1-15 | A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval Johannes Schönberger, ETH Zürich; True Price, UNC Chapel Hill; Torsten Sattler, ETH Zürich; Jan-Michael Frahm, UNC Chapel Hill; Marc Pollefeys, ETH Zürich |
| P1-16 | SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions Frederick Tung, University of British Columbia; Jim Little, University of British Columbia |
| P1-17 | An Online Algorithm for Efficient and Temporally Consistent Subspace Clustering Vasileios Zografos, Technical University Munich; Kai Krajsek, Forschungszentrum Juelich; Bjoern Menze, TU Munich |
| P1-18 | Sparse Gradient Pursuit for Robust Visual Analysis Jiangxin Dong, Dalian University of Technology; Risheng Liu, Dalian University of Technology; Kewei Tang, Liaoning Normal University; Yiyang Wang, Dalian University of Technology; Xindong Zhang, Dalian University of Technology; Zhixun Su, Dalian University of Technology |
| P1-19 | F-SORT: An Alternative for Faster Geometric Verification Jacob Chan, Nanyang Technological University; Jimmy Lee, ASTAR; Kemao Qian, Nanyang Technological University |
| P1-20 | Clustering Symmetric Positive Definite Matrices on the Riemannian Manifolds Ligang Zheng, Guangzhou University; Guoping Qiu, University of Nottingham Ningbo China; Jiwu Huang, Shenzhen University |
| P1-21 | Subspace Learning Based Low-Rank Representation Kewei Tang, Liaoning Normal University; Xiaodong Liu, Dalian University of Technology; Zhixun Su, Dalian University of Technology; Wei Jiang, Liaoning Normal University; Jiangxin Dong, Dalian University of Technology |
| No. | Deep Learning |
| P1-22 | Analysis on the Dropout Effect in Convolutional Neural Networks Sungheon Park, Seoul National University; Nojun Kwak, Seoul National University |
| P1-23 | Efficient Model Averaging for Deep Neural Networks Michael Opitz, Graz University of Technology; Horst Possegger, Graz University of Technology; Horst Bischof, Graz University of Technology |
| P1-24 | Joint Training of Generic CNN-CRF Models with Stochastic Optimization Alexander Kirillov, TU Dresden; Dmitrij Schlesinger, TU Dresden; Shuai Zheng, University of Oxford; Bogdan Savchynskyy, TU Dresden; Philip Torr, University of Oxford; Carsten Rother, TU Dresden |
| P1-25 | Object-Aware Dictionary Learning with Deep Features Yurui Xie, Australian National University; Fatih Porikli, Australian National University; Xuming He, Australian National University |
| No. | People Tracking and Action Recognition |
| P1-26 | Gait Energy Response Function for Clothing-Invariant Gait Recognition Xiang Li, Nanjing Univ. of Sci. & Tech. / Osaka Univ.; Yasushi Makihara, Osaka Univ.; Chi Xu, Nanjing Univ. of Sci. & Tech./ Osaka Univ. ; Daigo Muramatsu, Osaka Univ.; Yasushi Yagi, Osaka University; Mingwu Ren, Nanjing Univ. of Sci. & Tech. |
| P1-27 | Action Recognition Based on Optimal Joint Selection and Discriminative Depth Descriptor Haomiao Ni, Chinese Academy of Sciences; Hong Liu, Chinese Academy of Sciences; Xiangdong Wang, Chinese Academy of Sciences; Yueliang Qian, Chinese Academy of Sciences |
| P1-28 | Model-Free Multiple Object Tracking with Shared Proposals Gao Zhu, Australian National University; Fatih Porikli, Australian National University; Hongdong Li, Australian National University |
| P1-29 | Learning to integrate Occlusion-specific Detectors for Heavily Occluded Pedestrian Detection Chunluan Zhou, NTU; Junsong Yuan, Nanyang Technological University |
| P1-30 | Deep Second-Order Siamese Network for Pedestrian Re-identification Xuesong Deng, Chinese Academy of Sciences; Bingpeng Ma, Chinese Academy of Sciences; Hong Chang, Chinese Academy of Sciences; Shiguang Shan, Chinese Academy of Sciences; Xilin Chen, Chinese Academy of Sciences |
| P1-31 | Cost-sensitive Two-stage Depression Prediction using Dynamic Visual Clues Xingchen Ma, Beihang University; Di Huang, Beihang University; Yunhong Wang, Beihang University; Yiding Wang, North China University of Technology |
| P1-32 | Human Interaction Recognition by Mining Discriminative Patches on Key Frames Dingyi Shan, University of Chinese Academy of Sciences; Laiyun Qing, University of Chinese Academy of Sciences; Jun Miao, Chinese Academy of Sciences |
| P1-33 | Stacked Overcomplete Independent Component Analysis for Action Recognition Zhikang Liu, University of Science and Technology of China; Ye Tian, Stanford University; Zilei Wang, University of Science and Technology of China |
| P1-34 | Searching Action Proposal via Spatial Actionness Estimation and Temporal Path Inference and Tracking Nannan Li, Peking University ; Dan Xu, University of Trento; Zhenqiang Ying, Peking University; Zhihao Li, Peking University; Ge Li, Peking University |
| P1-35 | Markov Chain Monte Carlo Cascade for Camera Network Calibration based on Unconstrained Pedestrian Tracklets Louis Lettry, ETHZ; Ralf Dragon, ETHZ; Luc Van Gool, ETHZ |
| P1-36 | Scale-Adaptive Deconvolutional Regression Network for Pedestrian Detection Yousong Zhu, Chinese Academy of Sciences; Jinqiao Wang, Chinese Academy of Sciences; Chaoyang Zhao, Chinese Academy of Sciences; Haiyun Guo, Chinese Academy of Sciences; Hanqing Lu, Chinese Academy of Sciences |
Day 2: Tuesday, November 22
| No. | Computational Photography |
| P2-01 | Layered Scene Reconstruction from Multiple Light Field Camera Views Ole Johannsen, University of Konstanz; Antonin Sulc, University of Konstanz; Nico Marniok, University of Konstanz; Bastian Goldluecke, University of Konstanz |
| P2-02 | A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields Katrin Honauer, Heidelbeg University; Ole Johannsen, University of Konstanz; Daniel Kondermann, Heidelbeg University; Bastian Goldluecke, University of Konstanz |
| P2-03 | Radial Lens Distortion Correction Using Convolutional Neural Networks Trained with Synthesized Images Jiangpeng Rong, Peking University; Shiyao Huang, Peking University; Zeyu Shang, Peking University; Xianghua Ying, Peking University |
| P2-04 | Ultrasound Speckle Reduction via L0 Minimization Lei Zhu, The Chinese University of Hong Kong; Weiming Wang, Shenzhen Institute of Advanced Integration Technology; Xiaomeng Li, The Chinese University of Hong Kong; Qiong Wang, Shenzhen Institute of Advanced Integration Technology, ; Jing Qin, The Hong Kong Polytechnic University; Kin-Hong Wong, The Chinese University of Hong Kong; Pheng-Ann Heng, The Chinese University of Hong Kong |
| P2-05 | A Variational Model for Intrinsic Light Field Decomposition Anna Alperovich, University of Konstanz; Bastian Goldluecke, University of Konstanz |
| P2-06 | Dense Depth-map Estimation and Geometry Inference from Light Fields via Global Optimization Lipeng Si, Northwestern Polytechnical University; Qing Wang, Northwestern Polytechnical University |
| P2-07 | Direct and Global Component Separation from a Single Image using Basis Representation Art Subpa-asa, Tokyo Institute of Technology; Ying Fu, University of Tokyo; Yinqiang Zheng, National Institute of Informatics; Amano Toshiyuki, Wakayama University; Imari Sato, National Institute of Informatics |
| P2-08 | Ultra-Shallow DoF Imaging using Faced Paraboloidal Mirrors Ryoichiro Nishi,Nara Institute of Science and Technology; Takahito Aoto, Nara Institute of Science and Technology; Norihiko Kawai, Nara Institute of Science and Technology; Tomokazu Sato, Nara Institute of Science and Technology; Yasuhiro Mukaigawa, Nara Institute of Science and Technology; Naokazu Yokoya, Nara Institute of Science and Technology |
| P2-09 | ConvNet-based Depth Estimation, Reflection Separation and Deblurring of Plenoptic Images Paramanand Chandramouli, University of Bern; Mehdi Noroozi, University of Bern; Paolo Favaro, University of Bern |
| P2-10 | Learning a Mixture of Deep Networks for Single Image Super-Resolution Ding Liu, University of Illinois at Urbana-Champain; Zhaowen Wang, Adobe Research; Nasser Nasrabadi, West Virginia University; Thomas Huang, University of Illinois at Urbana-Champain |
| P2-11 | A Fast Blind Spatially-varying Motion Deblurring Algorithm with Camera Poses Estimation Yuquan Xu, Toyota Technological Institute; Seiichi Mita, Toyota Technological Institute; Silong Peng, Chinese Academy of Sciences |
| P2-12 | Removing Shadows from Images of Documents Steve Bako, UC Santa Barbara; Soheil Darabi, Adobe; Jue Wang, Adobe; Eli Shechtman, Adobe; Kalyan Sunkavalli, Adobe; Pradeep Sen, UC Santa Barbara |
| P2-13 | Video Enhancement via Super-resolution using Deep Quality Transfer Network Pai-Heng Hsiao, Umbo CV; Ping-Lin Chang, Umbo CV |
| No. | Face and Gestures |
| P2-14 | Age Estimation Based on A Single Network with Soft Softmax of Aging Modeling Zichang Tan,Chinese Academy of Sciences; Shuai Zhou, Macau University of Science and Technology; Jun Wan, Chinese Academy of Sciences; Zhen Lei, Chinese Academy of Sciences; Stan Li, Chinese Academy of Sciences |
| P2-15 | Illumination-Recovered Pose Normalization for Unconstrained Face Recognition Zhongjun Wu, Beijing University of Posts and Telecommunications; Weihong Deng, Beijing University of Posts and Telecommunications |
| P2-16 | Local Fractional Order Derivative Vector Quantization Pattern for Face Recognition Jing Li, Huazhong University of Science and Technology; Nong Sang, Huazhong University of Science and Technology; Changxin Gao, Huazhong University of Science and Technology |
| P2-17 | Learning Facial Point Response for Alignment by Purely Convolutional Network Zhenqi Xu, Beijing University of Posts and Telecommunications; Weihong Deng, Beijing University of Posts and Telecommunications |
| P2-18 | Random Forest with Suppressed Leaves for Hough Voting Hui Liang, Nanyang Technological Univ; Junhui Hou , Nanyang Technological University; Junsong Yuan, Nanyang Technological University; Daniel Thalmann, Nanyang Technological University |
| P2-19 | Sign-Correlation Partition based on Global Supervised Descent Method for Face Alignment Yongqiang Zhang, Harbin Institute of Technology; Shuang Liu, Bournemouth University; Xiaosong Yang, Bournemouth University; Daming Shi, Middlesex University; Jianjun Zhang, Bournemouth University |
| P2-20 | Deep Video Code for Efficient Face Video Retrieval Shishi Qiao, Chinese Academy of Sciences; Ruiping Wang, Institute of Computing Technology, Chinese Academy of Sciences; Shiguang Shan, Chinese Academy of Sciences; Xilin Chen, Chinese Academy of Sciences |
| P2-21 | From Face Images and Attributes to Attributes Robert Torfason, ETH Zurich; Eirikur Agustsson, ETH Zurich; Rasmus Rothe, ETH Zurich; Radu Timofte, ETH Zurich |
| P2-22 | Learning with Ambiguous Label Distribution for Apparent Age Estimation Ke Chen, Tampere University of Technology; Joni-Kristian Kamarainen, Tampere University of Technology |
| P2-23 | Prototype Discriminative Learning for Face Image Set Classification Wen Wang, Chinese Academy of Sciences; Ruiping Wang,Chinese Academy of Sciences; Shiguang Shan, Chinese Academy of Sciences; Xilin Chen, Chinese Academy of Sciences |
| P2-24 | Collaborative Learning Network for Face Attribute Prediction Shiyao Wang, Tsinghua University; Zhidong Deng, Tsinghua University; Zhenyang Wang, Tsinghua University |
| P2-25 | Facial Expression-Aware Face Frontalization Yiming Wang, University of Portsmouth; Hui Yu, University of Portsmouth; Junyu Dong, Ocean University of China; Brett Stevens, University of Portsmouth;Honghai Liu, University of Portsmouth |
| P2-26 | Eigen-Aging Reference Coding for Cross-Age Face Verification and Retrieval Kaihua Tang, Waseda University; Shanghai Jiao Tong University; Sei-ichiro Kamata, Waseda University; Xiaonan Hou, Shanghai Jiao Tong University; Shouhong Ding, Shanghai Jiao Tong University; Lizhuang Ma, Shanghai Jiao Tong University |
| P2-27 | Consistent Sparse Representation for video-based face recognition Xiuping Liu, Dalian University of Technology; Aihong Shen, Dalian University of Technology; Jie Zhang, Liaoning Normal University; Junjie Cao, Dalian University of Technology; Yanfang Zhou, Dalian University of Technology |
| P2-28 | Unconstrained Gaze Estimation Using Random Forest Regression Voting Amine Kacete, Institute of Research and Technology B-com; Renaud Séguier, Institute of Research and Technology B-com; Michel Collobert, Institute of Research and Technology B-com; Jérôme Royan, Institute of Research and Technology B-com |
| P2-29 | A Novel Time Series Kernel for Sequences Generated by LTI Systems Liliana Lo Presti, University of Palermo; Marco La Cascia, University of Palermo |
| P2-30 | Hand Pose Regression via a Classification-guided Approach Hongwei Yang, USTC; Juyong Zhang, USTC |
| P2-31 | Who’s that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images Rahaf Aljundi, KU Leuven; Punarjay Chakravarty, KU Leuven; Tinne Tuytelaars, KU Leuven |
| No. | Image Alignment |
| P2-32 | Adaptive Direct RGB-D Registration and Mapping for Large Motions Renato Martins, Inria/Mines Paristech; Eduardo Fernandez-Moral, Inria; Patrick Rives, INRIA |
| P2-33 | Deep Discrete Flow Fatma Guney, MPI for Intelligent Systems; Andreas Geiger, MPI for Intelligent Systems and ETH Zurich |
| P2-34 | Dense Motion Estimation for Smoke Da Chen, University of Bath; Wenbin Li, University College London; Peter Hall, University of Bath |
| P2-35 | Data Association based Multi-Target Tracking Using a Joint Formulation Jun Xiang, Huazhong University of Science; Jian Hou, University for Nationalities;Chang Gao, Huazhong University of Science;Nong Sang, Huazhong University of Science |
| P2-36 | Combining Texture and Shape Cues for Object Recognition With Minimal Supervision Xingchao Peng, Boston University; Kate Saenko, Boston University |
| P2-37 | Video Temporal Alignment for Object Viewpoint Anestis Papazoglou, University of Edinburgh; Luca Del Pero, University of Edinburgh; Vittorio Ferrari, University of Edinburgh |
Day 3: Wednesday, November 23
| No. | 3D Computer Vision |
| P3-01 | Recovering Pose and 3D Deformable Shape from Multi-Instance Image Ensembles Antonio Agudo, Institut de Robòtica i Informàtica Industrial; Francesc Moreno-Noguer, Institut de Robòtica i Informàtica Industrial |
| P3-02 | Robust Multi-Model Fitting using Density and Preference Analysis Lokender Tiwari, IIIT-Delhi; Saket Anand, IIIT-Delhi; Sushil Mittal, Scibler Corporation |
| P3-03 | Photometric Bundle Adjustment for Vision-Based SLAM Hatem Alismail, Carnegie Mellon University; Brett Browning, Carnegie Mellon University; Simon Lucey, Carnegie Mellon University |
| P3-04 | Can Computer Vision Techniques be Applied to Automated Forensic Examinations? A Study on Sex Identication from Human Skulls Using Head CT Scans Olasimbo Arigbabu, University of Nottingham Malaysia Campus; Iman Liao, University of Nottingham Malaysia Campus; Nurliza Abdullah, Hospital Kuala Lumpur ; Mohamad Helmee Mohamad Noor, Hospital Kuala Lumpur. |
| P3-05 | Deep Depth Super-Resolution: Learning Depth Super-Resolution using Deep Convolutional Neural Network Xibin Song, Shandong University; Yuchao Dai, The Australian National University; Xueying Qin, Shandong University |
| P3-06 | 3D Watertight Mesh Generation with Uncertainties from Ubiquitous Data Laurent Caraffa, IGN; Mathieu Bredif, IGN; Bruno Vallet, IGN |
| P3-07 | Color Correction for Image-Based Modeling in the Large Tianwei Shen, HKUST; Jinglu Wang, HKUST; Tian Fang, HKUST; Siyu Zhu, HKUST; Long Quan, HKUST |
| P3-08 | Bringing 3D Models Together: Mining Video Liaisons in Crowdsourced Reconstructions Ke Wang, UNC Chapel Hill; Enrique Dunn, Stevens Institute of Technology; Mikel Rodriguez, Mitre Corp., USA; Jan-Michael Frahm, UNC Chapel Hill |
| P3-09 | Planar Markerless Augmented Reality using Online Orientation Estimation Tatsuya Kobayashi, KDDI R&D Laboratories Inc.; Haruhisa Kato, KDDI R&D Laboratories Inc.; Masaru Sugano, KDDI R&D Laboratories Inc. |
| P3-10 | Simultaneous Independent Image Display Technique on Multiple 3D Objects Hiroshi Kawasaki, Kagoshima University; Marco Visentini-Scarzanella, Kagoshima University; Takuto Hirukawa, ; Ryo Furukawa, Hiroshima City University; Shinsaku Hiura, Hiroshima City University |
| P3-11 | ZigzagNet: Efficient Deep Learning for Real Object Recognition Based on 3D Models Yida Wang, Beijing University of Posts and Telecommunications; Can Cui, Beijing Jiaotong University; Xiuzhuang Zhou, Capital Normal University; Weihong Deng, Beijing University of Posts and Telecommunications |
| P3-12 | Precise Measurement of Cargo Boxes for Gantry Robot Palletization in Large Scale Workspaces using Low-Cost RGB-D Sensors Yaadhav Raaj, TUM CREATE; Suraj Nair, TUM CREATE; Alois Knoll, TUM CREATE |
| P3-13 | Visual Place Recognition using Landmark Distribution Descriptors Pilailuck Panphattarasap, University of Bristol; Andrew Calway, University of Bristol |
| P3-14 | Real Time Direct Visual Odometry for Flexible Multi-Camera Rigs Benjamin Resch, Tübingen University; Jian Wei, Tübingen University; Hendrik P.A. Lensch, Tübingen University |
| P3-15 | Analysis and Practical Minimization of Registration Error in a Spherical Fish Tank Virtual Reality System Qian Zhou, University of British Columbia; Gregor Miller, University of British Columbia; Kai Wu, University of British Columbia; Ian Stavness, University of Saskatchewan; Sidney Fels, University of British Columbia |
| P3-16 | Enhancing Direct Camera Tracking with Dense Feature Descriptors Hatem Alismail, Carnegie Mellon University; Brett Browning, Carnegie Mellon University; Simon Lucey, Carnegie Mellon University |
| No. | Image Attributes, Language, and Recognition |
| P3-17 | Learning to Describe E-Commerce Images from Noisy Online Data Takuya Yashima, Tohoku University; Naoaki Okazaki, Tohoku University; Kentaro Inui, Tohoku University; Kota Yamaguchi, Tohoku University; Takayuki Okatani, Tohoku University |
| P3-18 | phi-LSTM: A Phrase-based Hierarchical LSTM Model for Image Captioning Ying Hua Tan, University Malaya; Chee Seng Chan, University of Malaya |
| P3-19 | Deep Relative Attributes Yaser Souri, Sobhe; Erfan Noury, Sharif University of Technology; Ehsan Adeli, University of North Carolina at Chapel Hill |
| P3-20 | Fast Fashion Guided Clothing Image Retrieval: Delving Deeper into What Feature Makes Fashion Yuhang He, Sun Yat-sen University; Long Chen, Sun Yat-sen University |
| P3-21 | Using Gaussian Processes to Improve Zero-Shot Learning with Relative Attributes Yeshi Dolma, IIT Kanpur; Vinay Namboodiri, IIT Kanpur |
| P3-22 | MARVEL: A Large-Scale Image Dataset for Maritime Vessels Erhan Gundogdu, Aselsan Research Center; Berkan Solmaz, Aselsan Research Center; Veysel Yucesoy, Aselsan Research Center; Aykut Koc, Aselsan Research Center |
| P3-23 | `Part’ly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems Ravi Kiran Sarvadevabhatla, Indian Institute of Science; Shanthakumar Venkatraman, IIT Hyderabad; Venkatesh Babu R, Indian Institute of Science |
| P3-24 | End-to-End Training of Object Class Detectors for Mean Average Precision Paul Henderson, University of Edinburgh; Vittorio Ferrari, University of Edinburgh |
| P3-25 | R-CNN for Small Object Detection Chenyi Chen, Princeton University; Ming-Yu Liu, Mitsubishi Electric Research Labs (MERL); Oncel Tuzel, Mitsubishi Electric Research Labs (MERL); Jianxiong Xiao, Princeton University |
| P3-26 | Image Set Classification via Template Triplets and Context-Aware Similarity Embedding Feng-Ju Chang, Univeristy of Southern California; Ram Nevatia, Univeristy of Southern California |
| P3-27 | Object-Centric Representation Learning from Unlabeled Videos Ruohan Gao, University of Texas at Austin; Dinesh Jayaraman, University of Texas at Austin; Kristen Grauman, University of Texas at Austin |
| P3-28 | Visual Concept Recognition and Localization via Iterative Introspection Amir Rosenfeld, Weizmann Institute of Science; Shimon Ullman, Weizmann Institute of Science |
| P3-29 | Aggregating Local Context for Accurate Scene Text Detection Dafang He, Penn State University; Xiao Yang, Penn State University; Wenyi Huang, Penn State University; Zihan Zhou, Penn State University; Dan Kifer, Penn State University; C. Lee Giles, Penn State University |
| P3-30 | Bilinear Discriminant Analysis Hashing: A Supervised Hashing Approach for High-Dimensional Data Yanzhen Liu, Beihang University; Xiao Bai, Beihang University; Cheng Yan, Beihang University; Jun Zhou, Griffith University |
| P3-31 | Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching Keke Tang, University of Science and Technology of China; Peng Song, University of Science and Technology of China; Xiaoping Chen, University of Science and Technology of China |
| No. | Video Understanding |
| P3-32 | Unsupervised Crowd Counting Nada Elassal, York University; James Elder, York University |
| P3-33 | Long-Term Activity Forecasting Using First-Person Vision Syed Zahir Bokhari, Carnegie Mellon University; Kris Kitani, Carnegie Mellon University |
| P3-34 | Video Summarization using Deep Semantic Features Mayu Otani, Nara Inst of Sci. and Tech.; Yuta Nakashima, Nara Institute of Science and Technology; Esa Rahtu, University of Oulu; Janne Heikkilä, University of Oulu; Naokazu Yokoya, Nara Institute of Science and Technology |
| P3-35 | Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles Wei-Chen Chiu, Max Planck Institute for Informatics; Fabio Galasso, OSRAM Corporate Technology; Mario Fritz, Max Planck Institute for Informatics |
| P3-36 | No-Reference Video Shakiness Quality Assessment Zhaoxiong Cui, Peking University; Tingting Jiang, Peking University |
| P3-37 | Learning to Extract Motion from Videos in Convolutional Neural Networks Damien Teney, University of Adelaide; Martial Hebert, Carnegie Mellon University |