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ORCID12th ICCV 2009: Kyoto, Japan
- IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27 - October 4, 2009. IEEE Computer Society 2009, ISBN 978-1-4244-4420-5
Oral Session 1: Segmentation I
- Stephen Gould, Richard Fulton, Daphne Koller:
Decomposing a scene into geometric and semantically consistent regions. 1-8 - Ido Leichter, Michael Lindenbaum:
Boundary ownership by lifting to 2.1D. 9-16 - Thomas Schoenemann, Fredrik Kahl, Daniel Cremers:
Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation. 17-23
Oral Session 2: Human Detection
- William Robson Schwartz
, Aniruddha Kembhavi, David Harwood, Larry S. Davis:
Human detection using partial least squares analysis. 24-31 - Xiaoyu Wang, Tony X. Han, Shuicheng Yan:
An HOG-LBP human detector with partial occlusion handling. 32-39 - Subhransu Maji, Alexander C. Berg:
Max-margin additive classifiers for detection. 40-47
Oral Session 3: Learning
- Oncel Tuzel, Fatih Porikli, Peter Meer:
Kernel methods for weakly supervised mean shift clustering. 48-55 - Bang Zhang, Getian Ye, Yang Wang, Jie Xu, Gunawan Herman:
Finding shareable informative patterns and optimal coding matrix for multiclass boosting. 56-63 - Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas:
Learning with dynamic group sparsity. 64-71
Oral Session 4: Geometry
- Sameer Agarwal, Noah Snavely, Ian Simon, Steven M. Seitz, Richard Szeliski:
Building Rome in a day. 72-79 - Yasutaka Furukawa, Brian Curless, Steven M. Seitz, Richard Szeliski:
Reconstructing building interiors from images. 80-87 - Pierre Gurdjos, Adrien Bartoli, Peter F. Sturm:
Is dual linear self-calibration artificially ambiguous? 88-95 - Gang Li, Yanghai Tsin:
Globally optimal affine epipolar geometry from apparent contours. 96-103
Oral Session 5: Activity
- Ross Messing, Christopher J. Pal, Henry A. Kautz:
Activity recognition using the velocity histories of tracked keypoints. 104-111 - Ping Wang, Gregory D. Abowd, James M. Rehg:
Quasi-periodic event analysis for social game retrieval. 112-119 - Chen Change Loy, Tao Xiang, Shaogang Gong:
Modelling activity global temporal dependencies using Time Delayed Probabilistic Graphical Model. 120-127 - Yuxiao Hu, Liangliang Cao, Fengjun Lv, Shuicheng Yan, Yihong Gong, Thomas S. Huang:
Action detection in complex scenes with spatial and temporal ambiguities. 128-135
Oral Session 6: Image and Video Editing
- Moshe Guttmann, Lior Wolf, Daniel Cohen-Or:
Semi-automatic stereo extraction from video footage. 136-142 - Steven M. Seitz, Simon Baker:
Filter flow. 143-150 - Yael Pritch, Eitam Kav-Venaki, Shmuel Peleg:
Shift-map image editing. 151-158
Oral Session 7: Sensing
- Ahmed Kirmani, Tyler Hutchison, James Davis, Ramesh Raskar:
Looking around the corner using transient imaging. 159-166 - Miao Liao, Qing Zhang, Huamin Wang, Ruigang Yang, Minglun Gong:
Modeling deformable objects from a single depth camera. 167-174 - Hao Du, Xin Tong, Xun Cao, Stephen Lin:
A prism-based system for multispectral video acquisition. 175-182
Oral Session 8: Shading and Color
- Jean-François Lalonde, Alexei A. Efros, Srinivasa G. Narasimhan:
Estimating natural illumination from a single outdoor image. 183-190 - Guillermo D. Cañas, Yuriy Vasilyev, Yair Adato, Todd E. Zickler, Steven J. Gortler, Ohad Ben-Shahar:
A linear formulation of shape from specular flow. 191-198 - Tzu-Wei Huang, Hwann-Tzong Chen:
Landmark-based sparse color representations for color transfer. 199-204 - Yohay Swirski, Yoav Y. Schechner, Ben Herzberg, Shahriar Negahdaripour:
Stereo from flickering caustics. 205-212
Oral Session 9: Recognition
- Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese:
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories. 213-220 - Peter V. Gehler, Sebastian Nowozin:
On feature combination for multiclass object classification. 221-228 - Chaitanya Desai, Deva Ramanan, Charless C. Fowlkes:
Discriminative models for multi-class object layout. 229-236 - Hedi Harzallah, Frédéric Jurie, Cordelia Schmid:
Combining efficient object localization and image classification. 237-244
Oral Session 10: Video and Image Sequences
- John P. Collomosse, Graham McNeill, Yu Qian:
Storyboard sketches for Content Based Video Retrieval. 245-252 - Evangelos Kalogerakis, Olga Vesselova, James Hays, Alexei A. Efros, Aaron Hertzmann:
Image sequence geolocation with human travel priors. 253-260 - Stefano Pellegrini, Andreas Ess, Konrad Schindler, Luc Van Gool:
You'll never walk alone: Modeling social behavior for multi-target tracking. 261-268
Oral Session 11: Segmentation II
- Dorit S. Hochbaum, Vikas Singh:
An efficient algorithm for Co-segmentation. 269-276 - Victor S. Lempitsky, Pushmeet Kohli, Carsten Rother, Toby Sharp:
Image segmentation with a bounding box prior. 277-284 - Andrew Delong, Yuri Boykov:
Globally optimal segmentation of multi-region objects. 285-292
Oral Session 12: Similarity Metrics and Nearest Neighbors
- Boris Babenko, Steve Branson, Serge J. Belongie:
Similarity metrics for categorization: From monolithic to category specific. 293-300 - Deva Ramanan, Simon Baker:
Local distance functions: A taxonomy, new algorithms, and an evaluation. 301-308 - Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid:
TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. 309-316 - Hong Cheng, Zicheng Liu, Jie Yang:
Sparsity induced similarity measure for label propagation. 317-324
Oral Session 13: Sensing II
- Changyin Zhou, Stephen Lin, Shree K. Nayar:
Coded aperture pairs for depth from defocus. 325-332 - Samuel W. Hasinoff, Kiriakos N. Kutulakos, Frédo Durand, William T. Freeman:
Time-constrained photography. 333-340 - Brandon M. Smith, Li Zhang, Hailin Jin, Aseem Agarwala:
Light field video stabilization. 341-348 - Daniel Glasner, Shai Bagon, Michal Irani:
Super-resolution from a single image. 349-356
Oral Session 14: Recognition, Detection and Matching
- Michael Calonder, Vincent Lepetit, Pascal Fua, Kurt Konolige, James Bowman, Patrick Mihelich:
Compact signatures for high-speed interest point description and matching. 357-364 - Neeraj Kumar, Alexander C. Berg, Peter N. Belhumeur, Shree K. Nayar:
Attribute and simile classifiers for face verification. 365-372 - Michael Stark, Michael Goesele, Bernt Schiele:
A shape-based object class model for knowledge transfer. 373-380
Poster Session 1
Learning and Recognition - 1
- Paul Scovanner, Marshall F. Tappen:
Learning pedestrian dynamics from the real world. 381-388 - Dijia Wu, Kim L. Boyer:
Resilient Subclass Discriminant Analysis. 389-396 - Kevin Smith, Alan Carleton, Vincent Lepetit:
Fast Ray features for learning irregular shapes. 397-404 - Carl Olsson, Martin Byröd, Niels Chr. Overgaard, Fredrik Kahl:
Extending continuous cuts: Anisotropic metrics and expansion moves. 405-412 - Tat-Jun Chin, Hanzi Wang, David Suter:
Robust fitting of multiple structures: The statistical learning approach. 413-420 - Zhenguo Li, Jianzhuang Liu:
Constrained clustering by spectral kernel learning. 421-427 - Gang Wang, Derek Hoiem, David A. Forsyth:
Learning image similarity from Flickr groups using Stochastic Intersection Kernel MAchines. 428-435 - Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao:
Group-sensitive multiple kernel learning for object categorization. 436-443 - Zhe Lin, Zhuolin Jiang, Larry S. Davis:
Recognizing actions by shape-motion prototype trees. 444-451 - Terence Sim, Sheng Zhang, Jianran Li, Yan Chen:
Simultaneous and orthogonal decomposition of data using Multimodal Discriminant Analysis. 452-459 - Ofir Pele, Michael Werman:
Fast and robust Earth Mover's Distances. 460-467 - Ajay K. Mishra, Yiannis Aloimonos, Loong Fah Cheong:
Active segmentation with fixation. 468-475 - Ko Nishino:
Directional statistics BRDF model. 476-483 - Björn Ommer, Jitendra Malik:
Multi-scale object detection by clustering lines. 484-491 - Lahav Yeffet, Lior Wolf:
Local Trinary Patterns for human action recognition. 492-497 - Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid:
Is that you? Metric learning approaches for face identification. 498-505 - Christian Leistner, Amir Saffari, Jakob Santner, Horst Bischof:
Semi-Supervised Random Forests. 506-513 - Hyung Il Koo, Nam Ik Cho:
Graph cuts using a Riemannian metric induced by tensor voting. 514-520 - Tan Shan, Ioannis A. Kakadiaris:
Kernel active contour. 521-528 - Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker:
Dimensionality reduction and principal surfaces via Kernel Map Manifolds. 529-536 - Gang Wang, David A. Forsyth:
Joint learning of visual attributes, object classes and visual saliency. 537-544 - Antoni B. Chan, Nuno Vasconcelos:
Bayesian Poisson regression for crowd counting. 545-551 - M. Pawan Kumar, Andrew Zisserman, Philip H. S. Torr:
Efficient discriminative learning of parts-based models. 552-559 - Mehmet Emre Sargin, Luca Bertelli, Bangalore S. Manjunath, Kenneth Rose:
Probabilistic occlusion boundary detection on spatio-temporal lattices. 560-567 - Hiroshi Ishikawa:
Higher-order gradient descent by fusion-move graph cut. 568-574 - Xiang Bai, Xinggang Wang, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu:
Active skeleton for non-rigid object detection. 575-582 - Xue Mei, Haibin Ling, David W. Jacobs:
Sparse representation of cast shadows via l1-regularized least squares. 583-590 - Kohei Inoue, Kenji Hara, Kiichi Urahama:
Robust multilinear principal component analysis. 591-597 - Yen-Yu Lin, Jyun-Fan Tsai, Tyng-Luh Liu:
Efficient discriminative local learning for object recognition. 598-605 - Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman:
Multiple kernels for object detection. 606-613 - Stephan Gammeter, Lukas Bossard, Till Quack, Luc Van Gool:
I know what you did last summer: object-level auto-annotation of holiday snaps. 614-621 - Jin-Li Suo, Xilin Chen, Shiguang Shan, Wen Gao:
Learning long term face aging patterns from partially dense aging databases. 622-629 - Jianxin Wu, James M. Rehg:
Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel. 630-637 - Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezianko, Scott McCloskey, Larry S. Davis:
Incremental Multiple Kernel Learning for object recognition. 638-645 - Jan Lellmann, Florian Becker, Christoph Schnörr:
Convex optimization for multi-class image labeling with a novel family of total variation based regularizers. 646-653
Segmentation
- Sotirios P. Chatzis, Gabriel Tsechpenakis:
The infinite Hidden Markov random field model. 654-661 - Amaël Delaunoy, Ketut Fundana, Emmanuel Prados, Anders Heyden:
Convex multi-region segmentation on manifolds. 662-669 - Brian Fulkerson, Andrea Vedaldi, Stefano Soatto:
Class segmentation and object localization with superpixel neighborhoods. 670-677 - Fabien Lauer, Christoph Schnörr:
Spectral clustering of linear subspaces for motion segmentation. 678-685 - Jianxiong Xiao, Long Quan:
Multiple view semantic segmentation for street view images. 686-693 - Yunqiang Chen, Ti-Chiun Chang, Chunxiao Zhou, Tong Fang:
Gradient domain layer separation under independent motion. 694-701 - Chunming Li, Fang Li, Chiu-Yen Kao, Chenyang Xu:
Image segmentation with simultaneous illumination and reflectance estimation: An energy minimization approach. 702-708 - Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Manjunath:
Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach. 709-716 - Thomas Windheuser, Thomas Schoenemann, Daniel Cremers:
Beyond connecting the dots: A polynomial-time algorithm for segmentation and boundary estimation with imprecise user input. 717-722 - Patrick Ott, Mark Everingham:
Implicit color segmentation features for pedestrian and object detection. 723-730 - Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot:
Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest. 731-738 - Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr:
Associative hierarchical CRFs for object class image segmentation. 739-746 - Chaohui Wang, Martin de La Gorce, Nikos Paragios:
Segmentation, ordering and multi-object tracking using graphical models. 747-754 - Sara Vicente, Vladimir Kolmogorov, Carsten Rother:
Joint optimization of segmentation and appearance models. 755-762 - Siqi Chen, Richard J. Radke:
Level set segmentation with both shape and intensity priors. 763-770 - Alastair Philip Moore, Simon J. D. Prince, Jonathan Warrell, Umar Mohammed, Graham Jones:
Scene shape priors for superpixel segmentation. 771-778 - Brian L. Price, Bryan S. Morse, Scott Cohen:
LIVEcut: Learning-based interactive video segmentation by evaluation of multiple propagated cues. 779-786 - Benoit Mory, Roberto Ardon, Anthony J. Yezzi, Jean-Philippe Thiran:
Non-Euclidean image-adaptive Radial Basis Functions for 3D interactive segmentation. 787-794 - Terrence Chen, Wei Zhang, Sara Good, Shaohua Kevin Zhou, Dorin Comaniciu:
Automatic ovarian follicle quantification from 3D ultrasound data using global/local context with database guided segmentation. 795-802 - Omar Arif, Patricio A. Vela:
Non-rigid object localization and segmentation using eigenspace representation. 803-808 - Jean-Yves Guillemaut, Joe Kilner, Adrian Hilton:
Robust graph-cut scene segmentation and reconstruction for free-viewpoint video of complex dynamic scenes. 809-816 - Michael Donoser, Martin Urschler, Martin Hirzer, Horst Bischof:
Saliency driven total variation segmentation. 817-824 - Nevena Lazic, Inmar E. Givoni, Brendan J. Frey, Parham Aarabi:
FLoSS: Facility location for subspace segmentation. 825-832 - William Brendel, Sinisa Todorovic:
Video object segmentation by tracking regions. 833-840 - Sinisa Todorovic, Narendra Ahuja:
Texel-based texture segmentation. 841-848 - Dylan Hower, Vikas Singh, Sterling C. Johnson:
Label set perturbation for MRF based neuroimaging segmentation. 849-856 - Ayman El-Baz, Georgy L. Gimel'farb:
Robust image segmentation using learned priors. 857-864 - Anil M. Cheriyadat, Richard J. Radke:
Non-negative matrix factorization of partial track data for motion segmentation. 865-872 - Filiz Bunyak, Kannappan Palaniappan:
Efficient segmentation using feature-based graph partitioning active contours. 873-880 - Jason Chang, John W. Fisher III:
Analysis of orientation and scale in smoothly varying textures. 881-888
Poster Session 2
Learning and Recognition - 2
- Yuanjie Zheng, Chandra Kambhamettu:
Learning based digital matting. 889-896 - Lior Wolf, Tal Hassner, Yaniv Taigman:
The One-Shot similarity kernel. 897-902 - Alexander Andreopoulos, John K. Tsotsos:
A theory of active object localization. 903-910 - Xiaofei He, Deng Cai:
Active subspace learning. 911-916 - Oscar M. Danielsson, Stefan Carlsson, Josephine Sullivan:
Automatic learning and extraction of multi-local features. 917-924 - Andrew Gilbert, John Illingworth, Richard Bowden:
Fast realistic multi-action recognition using mined dense spatio-temporal features. 925-931 - Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Quantifying contextual information for object detection. 932-939