Electronic Proceedings of the
British Machine Vision Conference 2013
Editors: Tilo Burghardt, Dima Damen, Walterio Mayol-Cuevas, Majid Mirmehdi
An electronic version of the Book of Abstracts distributed at BMVC 2013 is available.
Tutorial 1 | |
1. | Deep Learning for Machine Vision Adam Coates (Stanford) |
Tutorial 2 | |
2. | Submodularity in Machine Learning and Vision Andreas Krause (ETH Zurich) |
Keynote 1 | |
3. | Towards on-the-fly Large Scale Video Search Andrew Zisserman (University of Oxford) |
Session 1: Statistics and Machine Learning for Computer Vision I | |
4. | Metric Regression Forests for Human Pose Estimation Gerard Pons-Moll (Leibniz University Hannover), Jonathan Taylor (University of Toronto), Jamie Shotton, Aaron Hertzmann, Andrew Fitzgibbon (Microsoft Research Cambridge) |
5. | Label embedding for text recognition Jose Rodriguez, Florent Perronnin (Xerox (XRCE) Grenoble) |
Session 2: Statistics and Machine Learning for Computer Vision II | |
6. | Change Detection in Dynamic Scenes using Local Adaptive Transform Hakan Haberdar (University of Houston), Shishir Shah (University of Houston) |
7. | Learning beautiful (and ugly) attributes Luca Marchesotti (Xerox), Florent Perronnin (Xerox (XRCE) Grenoble) |
8. | Fisher Vector Faces in the Wild Karen Simonyan (University of Oxford), Omkar Parkhi (University of Oxford), Andrea Vedaldi (University of Oxford), Andrew Zisserman (University of Oxford) |
9. | Perception Preserving Projections Saining Xie (Shanghai Jiao Tong University), Jiashi Feng (National University of Singapore), Shuicheng Yan (National University of Singapore), Hongtao Lu (Shanghai Jiao Tong University) |
10. | A Novel Approach for Efficient SVM Classification with Histogram Intersection Kernel Gaurav Sharma (University of Caen), Frederic Jurie (University of Caen) |
Session 3: Posters I | |
11. | Inferring Ongoing Human Activities Based on Recurrent Self-Organizing Map Trajectory Qianru Sun (Peking University), Hong Liu (Peking University) |
12. | Match-time covariance for descriptors Eric Christiansen (UC San Diego), Vincent Rabaud, Andrew Ziegler, David Kriegman (UCSD), Serge Belongie (UCSD) |
13. | Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces Pablo Alcantarilla (Georgia Institute of Technolog), Jesus Nuevo (TrueVision Solutions AU), Adrien Bartoli |
14. | From Bikers to Surfers: Visual Recognition of Urban Tribes Iljung Kwak (UCSD), Ana Murillo (University of Zaragoza), Peter Belhumeur (Columbia University), David Kriegman (UCSD), Serge Belongie (UCSD) |
15. | Ultra-wide Baseline Aerial Imagery Matching in Urban Environments Hani Altwaijry (UC San Diego), Serge Belongie (UCSD) |
16. | FRIF: Fast Robust Invariant Feature Zhenhua Wang (NLPR, CASIA), Bin Fan (NLPR, CASIA, CHINA), Fuchao Wu |
17. | Spatial Co-Training for Semi-Supervised Image Classification Yi Hong (UCLA) |
18. | Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment Benjamin Mears (UMass Amherst), Laura Sevilla-Lara (UMass Amherst), Erik Learned-Miller (UMass Amherst) |
19. | Fractal Approximate Nearest Neighbour Search in Log-Log Time Martin Stommel (University of Bremen), Stefan Edelkamp (University of Bremen), Thiemo Wiedemeyer, Michael Beetz |
20. | Flexible and User-Centric Camera Calibration using Planar Fiducial Markers Shreyansh Daftry (Manipal Institute of Technology), Michael Maurer (Institute of Computer Graphics and Vision, Graz University of Technology), Andreas Wendel (Graz University of Technology), Horst Bischof (Graz University of Technology) |
21. | Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences) Tomas Pfister (University of Oxford), James Charles (University of Leeds), Andrew Zisserman (University of Oxford) |
22. | Detection of Abnormal Fish Trajectories Using a Clustering Based Hierarchical Classifier Cigdem Beyan (University of Edinburgh), Robert Fisher |
23. | Early Recurrence Improves Edge Detection Xun Shi (York University), Bo Wang, John Tsotsos (York University) |
24. | Modelling Visual Objects Invariant to Depictive Style Qi Wu (University of Bath), Peter Hall (University of Bath) |
25. | Free your Camera: 3D Indoor Scene Understanding from Arbitrary Camera Motion Axel Furlan (University of Milano - Bicocca), Stephen D. Miller (Stanford University), Domenico G. Sorrenti (University of Milano - Bicocca), Li Fei-Fei (Stanford University), Silvio Savarese (University of Michigan at Ann Arbor) |
26. | Exploring SVM for Image Annotation in Presence of Confusing Labels Yashaswi Verma (IIIT, Hyderabad (India)), CV Jawahar |
27. | Removing Mistracking of Multibody Motion Video Database Hopkins155 Yasuyuki Sugaya (Toyohashi University of Technology), Yuichi Matsushita (Toyohashi University of Tech.), Kenichi Kanatani (Okayama University) |
28. | Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation Yuliya Tarabalka (INRIA Sophia-Antipolis Méditerranée), Guillaume Charpiat (INRIA Sophia-Antipolis Méditerranée), Ludovic Brucker (NASA GSFC & Universities Space Research Association), Bjoern Menze (Computer Vision Laboratory, ETH Zurich) |
29. | Deformable Part Models with Individual Part Scaling Charles Dubout (Idiap Research Institute), François Fleuret (Idiap Research Institute) |
30. | Focusing Attention on Visual Features that Matter Grace Tsai (University of Michigan), Benjamin Kuipers (University of Michigan) |
31. | Object-Centric Spatio-Temporal Pyramids for Egocentric Activity Recognition Tomas McCandless (University of Texas at Austin), Kristen Grauman (University of Texas at Austin) |
32. | Learning to approximate global shape priors for figure-ground segmentation Daniel Kuettel (ETH Zurich), Vittorio Ferrari |
33. | What is a good evaluation measure for semantic segmentation? Gabriela Csurka (Xerox Research Centre Europe ), Diane Larlus, Florent Perronnin (Xerox (XRCE) Grenoble) |
34. | Harmonic Variance: A Novel Measure for In-focus Segmentation Feng Li (Mitsubishi Electric Res. Labs), Fatih Porikli |
35. | Robust Image Matching with Line Context Wei Guan (University of Southern Califor), Suya You (University of Southern California) |
36. | Sketch Recognition by Ensemble Matching of Structured Features Yi Li (QMUL), Yi-Zhe Song, Shaogang Gong |
37. | Learnable Stroke Models for Example-based Portrait Painting Tinghuai Wang, John Collomosse (University of Surrey), Andrew Hunter (Hewlett Packard Laboratories), Darryl Greig (Hewlett Packard Laboratories) |
38. | Bayesian region selection for adaptive dictionary-based Super-Resolution Eduardo Pérez-Pellitero (Technicolor), Jordi Salvador (Technicolor), Javier Ruiz-Hidalgo (UPC), Bodo Rosenhahn |
39. | Replicator Graph Clustering Michael Donoser |
40. | Of Gods and Goats: Weakly Supervised Learning of Figurative Art Elliot Crowley (University of Oxford), Andrew Zisserman (University of Oxford) |
41. | Multi-scale Joint Encoding of Local Binary Patterns for Texture and Material Classification Xianbiao Qi (BUPT), Yu Qiao (SIAT), Chun-Guang Li (BUPT), Jun Guo (BUPT) |
42. | Spectral Imaging Using Basis Lights Antony Lam (National Institute of Informatics), Art Subpa-Asa, Imari Sato (National Institute of Informatics), Takahiro Okabe (Kyushu Institute of Technology), Yoichi Sato (The University of Tokyo) |
43. | Generalised Perspective Shape from Shading with Oren-Nayar Reflectance Yong Chul Ju (BTU Cottbus), Silvia Tozza (University of Rome), Michael Breuss (BTU Cottbus), Andres Bruhn (Univ of Stuttgart), Andreas Kleefeld (BTU Cottbus) |
44. | High Frequency 3D Reconstruction from Unsynchronized Multiple Cameras Yumi Kakumu (Nagoya Institute of Technology), Fumihiko Sakaue (Nagoya Institute of Technology), Jun Sato (Nagoya Institute of Technology), Kazuhisa Ishimaru (Nippon Soken Inc), Masayuki Imanishi (DENSO Corporation) |
45. | Properties of Datasets Predict the Performance of Classifiers Omid Aghazadeh (KTH), Stefan Carlsson (KTH) |
Session 4: Human Body Pose and Tracking | |
46. | Multi-view Pictorial Structures for 3D Human Pose Estimation Sikandar Amin (TU München), Mykhaylo Andriluka (MPI Informatics), Marcus Rohrbach (Max Planck Institute for Infor), Bernt Schiele |
47. | Transitive Re-identification Yulia Brand (Technion), Tamar Avraham (Technion), Michael Lindenbaum (Technion) |
48. | Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts James Charles (University of Leeds), Tomas Pfister (University of Oxford), Derek Magee (University of Leeds), David Hogg (University of Leeds), Andrew Zisserman (University of Oxford) |
49. | Multi-view Body Part Recognition with Random Forests Vahid Kazemi (KTH), Magnus Burenius (KTH), Hossein Azizpour (KTH), Josephine Sullivan |
Keynote 2 | |
50. | Factor Graphs for Fast and Scalable 3D Reconstruction and Mapping Frank Dellaert (Georgia Tech) |
Session 5: Motion and Flow | |
51. | The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures Oliver Demetz (Saarland University), David Hafner (Saarland University), Joachim Weickert (Saarland University) |
52. | Efficient Dense 3D Rigid-Body Motion Segmentation in RGB-D Video Jörg Stückler (University of Bonn), Sven Behnke (Computer Science Institute VI, University of Bonn) |
Session 6: Video Analysis | |
53. | Enhancing Action Recognition by Cross-Domain Dictionary Learning Fan Zhu, Ling Shao (The University of Sheffield) |
54. | Unsupervised Object Discovery and Segmentation in Videos Samuel Schulter (TUGraz), Christian Leistner (Microsoft), Peter Roth, Horst Bischof (Graz University of Technology) |
55. | Evaluating Superpixels in Video: Metrics Beyond Figure-Ground Segmentation Peer Neubert (TU Chemnitz), Peter Protzel (TU Chemnitz) |
56. | Solving Person Re-identification in Non-overlapping Camera using Efficient Gibbs Sampling Vijay John (University of Amsterdam), Gwenn Englebienne, Ben Krose |
57. | Spacetime Forests with Complementary Features for Dynamic Scene Recognition Christoph Feichtenhofer ( Graz University of Technology), Axel Pinz (Graz University of Technology), Richard Wildes (York University) |
Session 7: Posters II | |
58. | Hyperspectral Face Recognition using 3D-DCT and Partial Least Squares Muhammad Uzair (UWA), Arif Mahmood (UWA), Ajmal Mian (UWA) |
59. | Merging Pose Estimates Across Space and Time Xavier Burgos-Artizzu (CALTECH), David Hall (CALTECH), Pietro Perona (CALTECH), Piotr Dollar |
60. | Exploring Motion Boundary based Sampling and Spatial-Temporal Context Descriptors for Action Recognition Xiaojiang Peng (Southwest Jiaotong University), Yu Qiao (SIAT), Qiang Peng (SWJTU), Xianbiao Qi (BUPT) |
61. | Can Your Eyes Tell Me How You Think? A Gaze Directed Estimation of the Mental Activity Laura Florea (Univ. Politehnica of Bucharest), Corneliu Florea (Univ. Politehnica of Bucharest), Ruxandra Vranceanu (Univ. Politehnica of Bucharest), Constantin Vertan (Univ. Politehnica of Bucharest) |
62. | Incremental Solid Modeling from Sparse and Omnidirectional Structure-from-Motion Data Vadim Litvinov, Maxime Lhuillier (Institut Pascal) |
63. | Egomotion Estimation Using Binocular Spatiotemporal Oriented Energy Hao Zhong (York University), Richard Wildes (York University) |
64. | Online Motion Agreement Tracking ZHENG WU (Boston University), Jianming Zhang, Margrit Betke (Boston University) |
65. | A Topic Model Approach to Representing and Classifying Football Plays Jagannadan Varadarajan (ADSC), Indriyati Atmosukarto, Shaunak Ahuja (ADSC), Bernard Ghanem (KAUST), Narendra Ahuja (University of Illinois at Urbana Champaign) |
66. | Sketch Retrieval via Dense Stroke Features Chao Ma (Shanghai Jiao Tong University), Xiaokang Yang, Chongyang Zhang (Shanghai Jiao Tong University), Xiang Ruan (OMRON Corporation), Ming-Hsuan Yang (University of California, Merced) |
67. | PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues Fabian Flohr (Daimler), Dariu Gavrila (Daimler) |
68. | Fast Approximation of Distance Between Elastic Curves using Kernels Hedi Tabia (ETIS/ENSEA CNRS, UMR 8051, France), David Picard (ETIS/ENSEA CNRS, UMR 8051), Hamid Laga (Phenomics and Bioinformatics Research Centre, University of South Australia), Philippe-Henri Gosselin |
69. | Line extraction in uncalibrated central images with revolution symmetry Jesus Bermudez-Cameo (Universidad de Zaragoza), Gonzalo Lopez-Nicolas (Universidad de Zaragoza), J.J. Guerrero (Universidad de Zaragoza) |
70. | Tree-like Shapes Distance Using the Elastic Shape Analysis Framework Alejandro Mottini (INRIA/I3S/IBV), Xavier Descombes (INRIA), Florence Besse (IBV) |
71. | Image Blur Classification and Parameter Identification Using Two-stage Deep Belief Networks Ruomei Yan, Ling Shao (The University of Sheffield) |
72. | Discriminative tree-based feature mapping Miroslav Kobetski (CVAP, KTH), Josephine Sullivan |
73. | Unsupervised (parameter) learning for MRFs on bipartite graphs Boris Flach (Czech Technical University in Prague), Tomas Sixta (Czech Technical University) |
74. | Generic Object Crowd Tracking by Multi-Task Learning Wenhan Luo (Imperial College London), Tae-Kyun Kim |
75. | Discriminative Generative Contour Detection Chao Zhang (IBM China Research Lab), Xiong Li, Xiang Ruan, Yuming Zhao, Ming-Hsuan Yang (University of California, Merced) |
76. | Accurate and Computationally-inexpensive Recovery of Ego-Motion using Optical Flow and Range Flow with Extended Temporal Support Graeme Jones (Kingston University) |
77. | Emotion recognition from facial images with arbitrary views Xiaohua Huang (University of Oulu), Guoying Zhao, Matti Pietikainen (University of Oulu) |
78. | RPM: Random Points Matching for Pair wise Face-Similarity M. Saquib Sarfraz (KIT), Muhammad Adnan Siddique (Swiss Federal Institute of Technology (ETH) Zurich), Rainer Stiefelhagen (KIT) |
79. | Segmentation Driven Low-rank Matrix Recovery for Saliency Detection Wenbin Zou (INSA Rennes), Kidiyo Kpalma (INSA Rennes), Zhi Liu, joseph Ronsin (INSA Rennes) |
80. | Action Attribute Detection from Sports Videos with Contextual Constraints Xiaodong Yu (Comcast Corp), Ching Lik Teo (Department of Computer Science, University of Maryland), Yezhou Yang (Department of Computer Science, University of Maryland), Cornelia Fermuller (UMIACS, University of Maryland), Yiannis Aloimonos (Department of Computer Science, University of Maryland) |
81. | Decomposed Learning for Joint Segmentation and Categorization Yi-Hsuan Tsai (UC Merced), Jimei Yang (UC Merced), Ming-Hsuan Yang (University of California, Merced) |
82. | Action Chart: A Representation for Efficient Recognition of Complex Activity Hyung Jin Chang (Imperial College London), Jiyun Kim (Seoul National University), Jungchan Cho, Songhwai Oh (Seoul National University), Kwang Yi (Seoul National University), Jin Young Choi (Seoul National University) |
83. | Simultaneous Pose, Focal Length and 2D-to-3D Correspondences from Noisy Observations Adrian Penate-Sanchez (Iri.upc.edu), Eduard Serradell (Institut de Robňtica i Informŕtica Industrial (CSIC-UPC)), Francesc Moreno-Noguer, Juan Andrade-Cetto (iri.upc.edu) |
84. | Discriminative Tensor Sparse Coding for Image Classification Yangmuzi Zhang (University of Maryland), Zhuolin Jiang (Umiacs), Larry Davis (University of Maryland at College Park) |
85. | Hierarchical Scene Annotation Michael Maire (Caltech), Stella Yu (International Computer Science Institute, Berkeley), Pietro Perona (CALTECH) |
86. | Blockwise Linear Regression for Face Alignment Enrique Sánchez-Lozano (University of Vigo), Enrique Argones-Rúa (Gradiant), Jose Luis Alba-Castro (University of Vigo) |
87. | Fast and Robust $ell_1$-averaging-based Pose Estimation for Driving Scenarios German Ros (Computer Vision Center), Angel Sappa (Computer Vision Center), Daniel Ponsa (Universitat Autňnoma de Barcelona, Computer Vision Center), Antonio López (Universitat Autňnoma de Barcelona, Computer Vision Center), Julio Guerrero (Universidad de Murcia, FIUM, Dept. de Matemática Aplicada) |
88. | Learning Speed Invariant Gait Template via Thin Plate Spline Kernel Manifold Fitting Sheng Huang (Chongqing University), Ahmed Elgammal (Rutgers University), Dan Yang (Chongqing University) |
89. | Parsing Clothes in Unrestricted Images Nataraj Jammalamadaka (IIIT Hyderabad), Ayush Minocha (IIIT Hyderabad), Digvijay Singh (IIIT Hyderabad), CV Jawahar |
90. | Image Fusion using Gaussian Mixture Models Stacey Levine (Duquesne University), Katie Heaps (University of Minnesota), Joshua Koslosky (University of Minnesota), Glenn Sidle (Duquesne University) |
Session 8: Stereo and Geometry I | |
91. | Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points Markéta Dubská (Brno University of Technology), Adam Herout (Brno University of Technology) |
92. | Efficient Shape Matching using Vector Extrapolation Emanuele Rodola (The University of Tokyo), Tatsuya Harada (The University of Tokyo), Yasuo Kuniyoshi (The University of Tokyo), Daniel Cremers (TU München) |
93. | Incremental Line-based 3D Reconstruction using Geometric Constraints Manuel Hofer (Graz University of Technology), Andreas Wendel (Graz University of Technology), Horst Bischof (Graz University of Technology) |
94. | Spline Fusion: A continuous-time representation for visual-inertial fusion with application to rolling shutter cameras Steven Lovegrove (George Washington University), Alonso Patron-Perez (George Washington University), Gabe Sibley (George Washington University) |
Session 9: Stereo and Geometry II | |
95. | Incremental Surface Extraction from Sparse Structure-from-Motion Point Clouds Christof Hoppe (Graz University of Technology), Manfred Klopschitz (Siemens), Michael Donoser, Horst Bischof (Graz University of Technology) |
96. | Dense, Auto-Calibrating Visual Odometry from a Downward-Looking Camera Jacek Zienkiewicz (Imperial College London), Robert Lukierski, Andrew Davison |
97. | A Novel Trilateral Filter based Adaptive Support Weight Method for Stereo Matching Dongming Chen (Ecole Centrale de Lyon), Mohsen Ardabilian (Ecole Centrale de Lyon), Liming Chen (Ecole Centrale de Lyon) |
Session 10: Posters III | |
98. | Exploring Cross-Channel Texture Correlation for Color Texture Classification Xianbiao Qi (BUPT), Yu Qiao (SIAT), Chun-Guang Li (BUPT), Jun Guo (BUPT) |
99. | Depth really Matters: Improving Visual Salient Region Detection with Depth Karthik Desingh (IIIT - Hyderabad), Madhava Krishna K (IIIT-Hyderabad), Deepu Rajan (NTU Singapore), CV Jawahar |
100. | Oriented pooling for dense and non-dense rotation-invariant features Wan-Lei Zhao (INRIA), Guillaume Gravier (CNRS/IRISA, Rennes, France), Herve Jegou (INRIA Rennes) |
101. | Efficient Discriminative Convolution Using Fisher Weight Map Hideki Nakayama (The University of Tokyo) |
102. | Single-Image Super-Resolution via Adaptive Joint Kernel Regression Chen Huang (Department of Electronic Engineering, Tsinghua University, Beijing, China), Xiaoqing Ding (Department of Electronic Engineering, Tsinghua University, Beijing, China), Chi Fang (Department of Electronic Engineering, Tsinghua University, Beijing, China) |
103. | Anatomical Structure Sketcher for Cephalograms by Bimodal Deep Learning Yuru Pei (Peking University), Bin Liu (Peking University), Hongbin Zha (Peking University), Bing Han, Tianmin Xu (Stomatology Hospital of Peking University) |
104. | Reconstructing faces from their signatures using RBF regression Alexis Mignon (GREYC -- CNRS UMR 6072), Frederic Jurie (University of Caen) |
105. | Isowarp and Conwarp: Warps that Exactly Comply with Weak-Perspective Projection of Deforming Objects Daniel Pizarro (Université d'Auvergne), Adrien Bartoli, Toby Collins (Université d'Auvergne) |
106. | Point Light Source Estimation based on Scenes Recorded by a RGB-D camera Bas Boom, Sergio Orts-Escolano (University of Alicante), Xi Ning (University of Edinburgh), Steven McDonagh (University of Edinburgh), Peter Sandilands (University of Edinburgh), Robert Fisher |
107. | Closed form solution for radial distortion estimation from a single vanishing point Horst Wildenauer (Vienna University of Technolog), Branislav Micusik (Austrian Institute of Technology) |
108. | Robust Scene Stitching in Large Scale Mobile Mapping Filip Schouwenaars (KULeuven), Radu Timofte (KU Leuven), Luc Van Gool (KU Leuven) |
109. | Local Zernike Moment Representation for Facial Affect Recognition Evangelos Sariyanidi (Queen Mary Univ. of London), Hatice Gunes (Queen Mary University of London), Muhittin Gökmen (Istanbul Technical University), Andrea Cavallaro (Queen Mary University of London) |
110. | An Adaptive Subdivision Scheme for Quadratic Programming in Multi-Label Image Segmentation Marko Rak (Department of Simulation and Graphics, University of Magdeburg), Tim König (Department of Simulation and Graphics, University of Magdeburg), Klaus-Dietz Tönnies |
111. | Visual Tracking via Subspace Motion Model Jun Wang (Shandong University), Fan Zhong (School of Computer Science and Technology, Shandong University, Jinan, China), Guofeng Wang (School of Computer Science and Technology, Shandong University, Jinan, China), qunsheng Peng (The State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China), Xueying Qin (School of Computer Science and Technology, Shandong University, Jinan, China) |
112. | Place recognition from disparate views Rob Frampton (University of Bristol), Andrew Calway (University of Bristol) |
113. | An In Depth View of Saliency Arridhana Ciptadi (Georgia Institute of Technolog), Tucker Hermans (Georgia Institute of Technology), James Rehg |
114. | Insulin Granule Segmentation in 3-D TEM Beta Cell Tomograms David Nam (University of Bristol), Judith Mantell (University of Bristol), David Bull, Paul Verkade (University of Bristol), Alin Achim (University of Bristol) |
115. | Plane-based Odometry using an RGB-D Camera Carolina Raposo (ISR University of Coimbra), Miguel Lourenco, Michel Antunes, Joao Barreto |
116. | Reflective Symmetry Detection by Rectifying Randomized Correspondences Zhongwei Tang (ECE, Duke University), Mariano Tepper (ECE, Duke University), Guillermo Sapiro (ECE, Duke University) |
117. | An Iterative 5-pt Algorithm for Fast and Robust Essential Matrix Estimation Vincent Lui (Monash University), Tom Drummond (Monash University) |
118. | Reduced Dimensionality Extended Kalman Filter for SLAM Dinesh Gamage (Monash University, Australia), Tom Drummond (Monash University) |
119. | Learning Smooth Pooling Regions for Visual Recognition Mateusz Malinowski (MPI Informatics), Mario Fritz (MPI Informatics) |
120. | Towards Pain Monitoring: Facial Expression, Head Pose, a new Database, an Automatic System and Remaining Challenges Philipp Werner (University of Magdeburg), Ayoub Al-Hamadi (Otto von Guericke University Magdeburg), Robert Niese, Steffen Walter, Sascha Gruss, Harald Traue |
121. | Overlapping camera clustering through dominant sets for scalable 3D reconstruction Massimo Mauro (University of Brescia), Hayko Riemenschneider (CVL, ETH Zurich), Luc Van Gool (CVL, ETH Zurich), Riccardo Leonardi (Universitŕ degli Studi di Brescia) |
122. | Social Group Discovery from Surveillance Videos: A Data-Driven Approach with Attention-Based Cues Isarun Chamveha (The University of Tokyo), Yusuke Sugano, Yoichi Sato (The University of Tokyo), Akihiro Sugimoto |
123. | RLBP: Robust Local Binary Pattern Jie Chen (University of Oulu), Vili Kellokumpu (University of Oulu), Guoying Zhao, Matti Pietikainen (University of Oulu) |
124. | 3D Deformable Shape Reconstruction with Diffusion Maps Lili Tao (Uni of Central Lancashire), Bogdan Matuszewski (University of Central Lancashire) |
125. | Towards a minimal solution for the relative pose between axial cameras Francisco Vasconcelos (ISR), Joăo Barreto (University of Coimbra) |
126. | Combining Features and Intensity for Wide-Baseline Non-Rigid Surface Registration Jim Braux-Zin (CEA, LIST), Romain Dupont (CEA, LIST), Adrien Bartoli |
127. | Single Image Shadow Detection Using Multiple Cues in a Supermodular MRF Tomas F Yago Vicente (Stony Brook University), Chen-Ping Yu (Stony Brook University), Dimitris Samaras (Stony Brook University) |
128. | Recognizing Humans in Motion: Trajectory-based Aerial Video Analysis Yumi Iwashita (Kyushu University), Michael Ryoo (JPL), Thomas Fuchs (JPL), Curtis Padgett (JPL) |
129. | Combining Local and Global Cues for Closed Contour Extraction Vida Movahedi (York University), James Elder (York University) |
130. | Lagrangian Strain Tensor Computation with Higher Order Variational Models Alexander Hewer (Saarland University), Joachim Weickert (Saarland University), Henning Seibert (Saarland University), Tobias Scheffer (Saarland University), Stefan Diebels (Saarland University) |
131. | Object Recognition in Multi-View Dual Energy X-ray Images Muhammet Bastan (Tech. Univ. of Kaiserslautern), Wonmin Byeon (Tech. Univ. of Kaiserslautern), Thomas Breuel (Tech. Univ. of Kaiserslautern) |
Session 11: Segmentation and Features | |
132. | Relatively-Paired Space Analysis Zhanghui Kuang (The University of Hong Kong), Kenneth Wong (the university of hong kong) |
133. | Sparse-Coded Features for Image Retrieval Tiezheng Ge (USTC), Qifa Ke (Microsoft), Jian Sun |
134. | Combination of paths for interactive segmentation Julien Mille (Université Lyon 1 / LIRIS), Sébastien Bougleux (Université de Caen-Basse Normandie), Laurent Cohen (CEREMADE, Université Paris Dauphine) |
135. | Collaboratively Regularized Nearest Points for Set Based Recognition Yang Wu (Kyoto University), Michihiko Minoh (Kyoto University), Masayuki Mukunoki (Kyoto University) |