CVPR 2008: Anchorage, Alaska, USA

Posters: Statistical Methods and Learning

• Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li:
  Face shape recovery from a single image using CCA mapping between tensor spaces.
  
• Yu Su, Shiguang Shan, Xilin Chen, Wen Gao:
  Classifiability-based Optimal Discriminatory Projection Pursuit.
  
• Kun Gai, Zhenwei Shi, Changshui Zhang:
  Blindly separating mixtures of multiple layers with spatial shifts.
  
• Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille:
  Structure-perceptron learning of a hierarchical log-linear model.
  
• Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang Zhang:
  Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition.
  
• Deli Zhao, Zhouchen Lin, Xiaoou Tang:
  Classification via semi-Riemannian spaces.
  
• Junsong Yuan, Jiebo Luo, Ying Wu:
  Mining compositional features for boosting.
  
• Junsong Yuan, Ying Wu:
  Context-aware clustering.
  
• Masayuki Tanaka, Masatoshi Okutomi:
  Locally adaptive learning for translation-variant MRF image priors.
  
• Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu:
  Semi-supervised SVM batch mode active learning for image retrieval.
  
• Steven C. H. Hoi, Wei Liu, Shih-Fu Chang:
  Semi-supervised distance metric learning for Collaborative Image Retrieval.
  
• Yang Hu, Mingjing Li, Nenghai Yu:
  Multiple-instance ranking: Learning to rank images for image retrieval.
  
• Matthew B. Blaschko, Christoph H. Lampert:
  Correlational spectral clustering.
  
• Tamir Hazan, Amit Man, Amnon Shashua:
  A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality.
  
• Tomás Werner:
  High-arity interactions, polyhedral relaxations, and cutting plane algorithm for soft constraint optimisation (MAP-MRF).
  
• Xiao Zhang, Lin Liang, Xiaoou Tang, Heung-Yeung Shum:
  L1 regularized projection pursuit for additive model learning.
  
• Yu Zhang, Dit-Yan Yeung:
  Semi-Supervised Discriminant Analysis using robust path-based similarity.
  
• Gustavo Carneiro, Fernando Amat, Bogdan Georgescu, Sara Good, Dorin Comaniciu:
  Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling.
  
• Jake Porway, Kristy Wang, Benjamin Yao, Song Chun Zhu:
  A hierarchical and contextual model for aerial image understanding.
  
• Raquel Urtasun, Trevor Darrell:
  Sparse probabilistic regression for activity-independent human pose inference.
  
• Yong Ma, Yoshihisa Ijiri, Shihong Lao, Masato Kawade:
  Re-weighting Linear Discrimination Analysis under ranking loss.
  
• Xuming He, Richard S. Zemel:
  Latent topic random fields: Learning using a taxonomy of labels.
  
• Jian Yang, Zhen Lou, Zhong Jin, Jing-Yu Yang:
  Minimal local reconstruction error measure based discriminant feature extraction and classification.
  
• Li Cheng, S. V. N. Vishwanathan, Xinhua Zhang:
  Consistent image analogies using semi-supervised learning.
  
• Yilei Xu, Amit K. Roy Chowdhury:
  Learning a geometry integrated image appearance manifold from a small training set.
  
• Sinisa Todorovic, Narendra Ahuja:
  Learning subcategory relevances for category recognition.
  
• Mark Schmidt, Kevin Murphy, Glenn Fung, Rómer Rosales:
  Structure learning in random fields for heart motion abnormality detection.
  
• Yan Tong, Qiang Ji:
  Learning Bayesian Networks with qualitative constraints.
  
• Ralph Gross, Latanya Sweeney, Fernando De la Torre, Simon Baker:
  Semi-supervised learning of multi-factor models for face de-identification.
  
• Ryan Gomes, Max Welling, Pietro Perona:
  Incremental learning of nonparametric Bayesian mixture models.
  
• Ifeoma Nwogu, Jason J. Corso:
  (BP)²: Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies.
  
• Nikhil Rasiwasia, Nuno Vasconcelos:
  Scene classification with low-dimensional semantic spaces and weak supervision.
  
• Wenfeng Li, Baoxin Li:
  Joint Conditional Random Field of multiple views with online learning for image-based rendering.
  
• Zheshen Wang, Xinyu Xu, Baoxin Li:
  Bayesian tactile face.
  
• Shiguang Shan, Bo Cao, Yu Su, Laiyun Qing, Xilin Chen, Wen Gao:
  Unified Principal Component Analysis with generalized Covariance Matrix for face recognition.
  
• Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh Kumar:
  Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut.
  
• Shuiwang Ji, Jieping Ye:
  A unified framework for generalized Linear Discriminant Analysis.
  
• Hong Cheng, Zicheng Liu, Nanning Zheng, Jie Yang:
  A deformable local image descriptor.
  
• Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Zheng-Jun Zha, Hong-Jiang Zhang:
  A joint appearance-spatial distance for kernel-based image categorization.
  
• Rong Yan, Apostol Natsev, Murray Campbell:
  A learning-based hybrid tagging and browsing approach for efficient manual image annotation.
  
• Zhenyue Zhang, Hongyuan Zha, Min Zhang:
  Spectral methods for semi-supervised manifold learning.
  
• Liangliang Cao, Jiebo Luo, Henry S. Kautz, Thomas S. Huang:
  Annotating collections of photos using hierarchical event and scene models.
  
• Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Hong-Jiang Zhang:
  Two-Dimensional Active Learning for image classification.
  
• Zheng-Jun Zha, Xian-Sheng Hua, Tao Mei, Jingdong Wang, Guo-Jun Qi, Zengfu Wang:
  Joint multi-label multi-instance learning for image classification.
  
• Xiaozhe Wang, Liang Wang, Anthony Wirth:
  Pattern discovery in motion time series via structure-based spectral clustering.
  
• Tao Mei, Yong Wang, Xian-Sheng Hua, Shaogang Gong, Shipeng Li:
  Coherent image annotation by learning semantic distance.
  
• Jun Zhou, Antonio Robles-Kelly:
  A quasi-random sampling approach to image retrieval.
  
• Jagarlamudi Shashank, Palivela Kowshik, Kannan Srinathan, C. V. Jawahar:
  Private Content Based Image Retrieval.
  
• Jung-Eun Lee, Rong Jin, Anil K. Jain:
  Rank-based distance metric learning: An application to image retrieval.
  
• Marco Cristani, Alessandro Perina, Umberto Castellani, Vittorio Murino:
  Geo-located image analysis using latent representations.
  
• Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty:
  An efficient algorithm for compressed MR imaging using total variation and wavelets.
  
• Heng Huang, Chris H. Q. Ding:
  Robust tensor factorization using R1 norm.
  
• Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Michael Sühling, Dorin Comaniciu:
  Hierarchical, learning-based automatic liver segmentation.
  
• Thomas Albrecht, Marcel Lüthi, Thomas Vetter:
  A statistical deformation prior for non-rigid image and shape registration.
  
• Darko Zikic, Michael Sass Hansen, Ben Glocker, Ali Khamene, Rasmus Larsen, Nassir Navab:
  Computing minimal deformations: application to construction of statistical shape models.
  
• Jiayan Jiang, Songfeng Zheng, Arthur W. Toga, Zhuowen Tu:
  Learning based coarse-to-fine image registration.
  
• Tatsuo Kozakaya, Tomoyuki Shibata, Tomoyuki Takeguchi, Masahide Nishiura:
  Fully automatic feature localization for medical images using a global vector concentration approach.
  
• Richard Souvenir, Jerrod P. Kraftchick, Sangho Lee, Mark G. Clemens, Min C. Shin:
  Cell motion analysis without explicit tracking.
  
• Jiansheng Chen, Yiu Sang Moon:
  The statistical modelling of fingerprint minutiae distribution with implications for fingerprint individuality studies.
  
• Sai Kit Yeung, Chi-Keung Tang, Pengcheng Shi, Josien P. W. Pluim, Max A. Viergever, Albert C. S. Chung, Helen C. Shen:
  Enforcing stochastic inverse consistency in non-rigid image registration and matching.
  
• Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari, Philip H. S. Torr:
  Exact inference in multi-label CRFs with higher order cliques.
  
• Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr:
  Reduce, reuse & recycle: Efficiently solving multi-label MRFs.
  
• David Liu, Gang Hua, Paul A. Viola, Tsuhan Chen:
  Integrated feature selection and higher-order spatial feature extraction for object categorization.
  
• Minyoung Kim, Vladimir Pavlovic:
  Dimensionality reduction using covariance operator inverse regression.
  
• Shuicheng Yan, Xi Zhou, Ming Liu, Mark Hasegawa-Johnson, Thomas S. Huang:
  Regression from patch-kernel.
  
• Santhosh Kodipaka, Arunava Banerjee, Baba C. Vemuri:
  Large margin pursuit for a Conic Section classifier.
  
• Duc-Son Pham, Svetha Venkatesh:
  Robust learning of discriminative projection for multicategory classification on the Stiefel manifold.
  
• Duc-Son Pham, Svetha Venkatesh:
  Joint learning and dictionary construction for pattern recognition.
  
• Sanja Fidler, Marko Boben, Ales Leonardis:
  Similarity-based cross-layered hierarchical representation for object categorization.
  
• Gregory Griffin, Darya Perona:
  Learning and using taxonomies for fast visual categorization.
  
• Ronen Basri, Darya Frolova:
  A two-frame theory of motion, lighting and shape.
  
• Thomas Schoenemann, Daniel Cremers:
  High resolution motion layer decomposition using dual-space graph cuts.
  
• Daniel Cremers, Frank R. Schmidt, Frank Barthel:
  Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions.
  

Color, Illumination, and Reflectance

• Kaylan Sunkavalli, Fabiano Romeiro, Wojciech Matusik, Todd Zickler, Hanspeter Pfister:
  What do color changes reveal about an outdoor scene?
  
• Paolo Favaro, Alessandro Duci:
  A theory of defocus via Fourier analysis.
  
• Yuanjie Zheng, Jingyi Yu, Sing Bing Kang, Stephen Lin, Chandra Kambhamettu:
  Single-image vignetting correction using radial gradient symmetry.
  
• Matthew Harker, Paul O'Leary:
  Least squares surface reconstruction from measured gradient fields.
  
• Lei He, Chunming Li, Chenyang Xu:
  Intensity statistics-based HSI diffusion for color photo denoising.
  

Segmentation and Grouping

• Giorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos:
  Edge preserving spatially varying mixtures for image segmentation.
  
• Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr:
  Robust higher order potentials for enforcing label consistency.
  
• Gang Zeng, Luc J. Van Gool:
  Multi-label image segmentation via point-wise repetition.
  
• Olivier Duchenne, Jean-Yves Audibert, Renaud Keriven, Jean Ponce, Florent Ségonne:
  Segmentation by transduction.
  
• Michael Maire, Pablo Arbelaez, Charless Fowlkes, Jitendra Malik:
  Using contours to detect and localize junctions in natural images.
  

Demos

• Hiroshi Kawasaki, Ryo Furukawa, Ryusuke Sagawa, Yasushi Yagi:
  Dynamic scene shape reconstruction using a single structured light pattern.
  

Posters: Segmentation and Grouping

• Dheeraj Singaraju, René Vidal:
  Interactive image matting for multiple layers.
  
• Alvina Goh, René Vidal:
  Clustering and dimensionality reduction on Riemannian manifolds.
  
• Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Marcos Salganicoff, Dorin Comaniciu:
  Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model.
  
• Zhiwu Lu, Yuxin Peng, Jianguo Xiao:
  Unsupervised learning of finite mixtures using entropy regularization and its application to image segmentation.
  
• Matthieu Maitre, Yoshihisa Shinagawa, Minh N. Do:
  Symmetric multi-view stereo reconstruction from planar camera arrays.
  
• Siying Liu, Dong Guo, Chye Hwang Yan, Sim Heng Ong:
  Video segmentation: Propagation, validation and aggregation of a preceding graph.
  
• Eyal Zadicario, Shai Avidan, Alon Shmueli, Daniel Cohen-Or:
  Boundary snapping for robust image cutouts.
  
• Ismail Ben Ayed, Shuo Li, Ian Ross:
  Tracking distributions with an overlap prior.
  
• Xin Dou, Xiaodong Wu, Andreas Wahle, Milan Sonka:
  Globally optimal surface segmentation using regional properties of segmented objects.
  
• Hang Chang, Qing Yang, Bahram Parvin:
  A Bayesian approach for image segmentation with shape priors.
  
• Vidit Jain, Amit Singhal, Jiebo Luo:
  Selective hidden random fields: Exploiting domain-specific saliency for event classification.
  
• Dhruv Batra, Rahul Sukthankar, Tsuhan Chen:
  Learning class-specific affinities for image labelling.
  
• Yun Zhu, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan:
  Segmentation of left ventricle from 3D cardiac MR image sequences using a subject-specific dynamical model.
  
• Jiangjian Xiao, Hui Cheng, Feng Han, Harpreet S. Sawhney:
  Geo-spatial aerial video processing for scene understanding and object tracking.
  
• Miguel Á. Carreira-Perpiñán:
  Generalised blurring mean-shift algorithms for nonparametric clustering.
  
• Zhuowen Tu:
  Auto-context and its application to high-level vision tasks.
  
• Shankar Rao, Roberto Tron, René Vidal, Yi Ma:
  Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories.
  
• Arasanathan Thayananthan, Masahiro Iwasaki, Roberto Cipolla:
  Principled fusion of high-level model and low-level cues for motion segmentation.
  
• Roman Sandler, Michael Lindenbaum:
  Unsupervised estimation of segmentation quality using nonnegative factorization.
  
• Sara Vicente, Vladimir Kolmogorov, Carsten Rother:
  Graph cut based image segmentation with connectivity priors.
  
• Christoph Rhemann, Carsten Rother, Alex Rav-Acha, Toby Sharp:
  High resolution matting via interactive trimap segmentation.
  
• Fredrik Orderud, Stein I. Rabben:
  Real-time 3D segmentation of the left ventricle using deformable subdivision surfaces.
  
• Thomas Schoenemann, Daniel Cremers:
  Globally optimal shape-based tracking in real-time.
  
• Thomas Schoenemann, Daniel Cremers:
  Matching non-rigidly deformable shapes across images: A globally optimal solution.
  
• Nicolas Martel-Brisson, André Zaccarin:
  Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation.
  
• Christoph H. Lampert:
  Partitioning of image datasets using discriminative context information.
  
• Nawal Houhou, Jean-Philippe Thiran, Xavier Bresson:
  Fast texture segmentation model based on the shape operator and active contour.
  
• Nhat Vu, B. S. Manjunath:
  Shape prior segmentation of multiple objects with graph cuts.
  
• Zhengdong Lu, Miguel Á. Carreira-Perpiñán:
  Constrained spectral clustering through affinity propagation.
  
• Fabio Cuzzolin, Diana Mateus, David Knossow, Edmond Boyer, Radu Horaud:
  Coherent Laplacian 3-D protrusion segmentation.
  
• Diane Larlus, Frédéric Jurie:
  Combining appearance models and Markov Random Fields for category level object segmentation.
  
• Jingdong Wang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan:
  Normalized tree partitioning for image segmentation.
  
• Yuanjie Zheng, Chandra Kambhamettu, Jingyi Yu, Thomas Bauer, Karl Steiner:
  FuzzyMatte: A computationally efficient scheme for interactive matting.
  
• Zeng-Fu Wang, Zhi-Gang Zheng:
  A region based stereo matching algorithm using cooperative optimization.
  
• Hao Jiang, David R. Martin:
  Global pose estimation using non-tree models.
  
• Bodgan C. Matei, Harpreet S. Sawhney, Supun Samarasekera, Janet Kim, Rakesh Kumar:
  Building segmentation for densely built urban regions using aerial LIDAR data.
  
• Cheng Chen, Guoliang Fan:
  Hybrid body representation for integrated pose recognition, localization and segmentation.
  
• Özlem N. Subakan, Baba C. Vemuri:
  Image segmentation via convolution of a level-set function with a Rigaut Kernel.
  
• Grant Schindler, Panchapagesan Krishnamurthy, Roberto Lublinerman, Yanxi Liu, Frank Dellaert:
  Detecting and matching repeated patterns for automatic geo-tagging in urban environments.
  
• Tomasz Malisiewicz, Alexei A. Efros:
  Recognition by association via learning per-exemplar distances.
  
• Hang Zhou, David Suter:
  Improved building detection by Gaussian processes classification via feature space rescale and spectral kernel selection.
  
• Andrew Delong, Yuri Boykov:
  A Scalable graph-cut algorithm for N-D grids.
  
• Renting Liu, Zhaorong Li, Jiaya Jia:
  Image partial blur detection and classification.
  
• Nuno Pinho da Silva, João Paulo Costeira:
  Subspace segmentation with outliers: A grassmannian approach to the maximum consensus subspace.
  
• Shaobo Hou, Aphrodite Galata:
  Robust estimation of gaussian mixtures from noisy input data.
  
• Vittorio Ferrari, Manuel J. Marín-Jiménez, Andrew Zisserman:
  Progressive search space reduction for human pose estimation.
  
• Ninad Thakoor, Jean Gao:
  Branch-and-bound hypothesis selection for two-view multiple structure and motion segmentation.
  
• Xiaoqing Liu, Olga Veksler, Jagath Samarabandu:
  Graph cut with ordering constraints on labels and its applications.
  
• Alastair P. Moore, Simon Prince, Jonathan Warrell, Umar Mohammed, Graham Jones:
  Superpixel lattices.
  
• Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Heikkilä:
  Object recognition and segmentation by non-rigid quasi-dense matching.
  
• Necmiye Ozay, Mario Sznaier, Octavia I. Camps:
  Sequential sparsification for change detection.
  
• Jan Cech, Jiri Matas, Michal Perdoch:
  Efficient sequential correspondence selection by cosegmentation.
  
• Xian Fan, Pierre-Louis Bazin, Jerry L. Prince:
  A multi-compartment segmentation framework with homeomorphic level sets.
  
• Ayman El-Baz, Georgy L. Gimel'farb:
  Image segmentation with a parametric deformable model using shape and appearance priors.
  
• Andrew N. Stein, Thomas S. Stepleton, Martial Hebert:
  Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection.
  
• Salma Essafi, Georg Langs, Nikos Paragios:
  Sparsity, redundancy and optimal image support towards knowledge-based segmentation.
  
• Georg Langs, Nikos Paragios:
  Modeling the structure of multivariate manifolds: Shape maps.
  
• Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu, Leonard McMillan:
  Conditional density learning via regression with application to deformable shape segmentation.
  
• Andrew C. Gallagher, Tsuhan Chen:
  Clothing cosegmentation for recognizing people.
  
• Marius Leordeanu, Martial Hebert:
  Smoothing-based Optimization.
  
• Byung-Woo Hong, Stefano Soatto, Kangyu Ni, Tony F. Chan:
  The scale of a texture and its application to segmentation.
  
• E. Gerardo Mendizabal-Ruiz, Mariano Rivera, Ioannis A. Kakadiaris:
  A probabilistic segmentation method for the identification of luminal borders in intravascular ultrasound images.
  
• Dheeraj Singaraju, Leo Grady, René Vidal:
  Interactive image segmentation via minimization of quadratic energies on directed graphs.
  
• Stanley T. Birchfield, Shrinivas J. Pundlik:
  Joint tracking of features and edges.
  
• Leo Grady, Ali Kemal Sinop:
  Fast approximate RandomWalker segmentation using eigenvector precomputation.
  
• Branislav Micusík, Horst Wildenauer, Jana Kosecka:
  Detection and matching of rectilinear structures.
  
• Jason J. Corso:
  Discriminative modeling by Boosting on Multilevel Aggregates.
  
• Jason J. Corso, Alan L. Yuille, Zhuowen Tu:
  Graph-shifts: Natural image labeling by dynamic hierarchical computing.
  
• Bruce A. Maxwell, Richard M. Friedhoff, Casey A. Smith:
  A bi-illuminant dichromatic reflection model for understanding images.
  
• Pablo Arbelaez, Laurent D. Cohen:
  Constrained image segmentation from hierarchical boundaries.
  
• Yanxi Liu, Tamara Belkina, James Hays, Roberto Lublinerman:
  Image de-fencing.
  
• Sai Kit Yeung, Tai-Pang Wu, Chi-Keung Tang:
  Extracting smooth and transparent layers from a single image.
  

Motion Analysis for Structure, Shape, and Pose

• Yasutaka Furukawa, Jean Ponce:
  Dense 3D motion capture from synchronized video streams.
  
• Guofeng Zhang, Jiaya Jia, Tien-Tsin Wong, Hujun Bao:
  Recovering consistent video depth maps via bundle optimization.
  
• John Lim, Nick Barnes:
  Directions of egomotion from antipodal points.
  
• Pascal Lagger, Mathieu Salzmann, Vincent Lepetit, Pascal Fua:
  3D pose refinement from reflections.
  
• Mathieu Salzmann, Raquel Urtasun, Pascal Fua:
  Local deformation models for monocular 3D shape recovery.
  

Object Detection, Categorization, and Recognition

• Ron Zass, Amnon Shashua:
  Probabilistic graph and hypergraph matching.
  
• Changchang Wu, Brian Clipp, Xiaowei Li, Jan-Michael Frahm, Marc Pollefeys:
  3D model matching with Viewpoint-Invariant Patches (VIP).
  
• Gunhee Kim, Christos Faloutsos, Martial Hebert:
  Unsupervised modeling of object categories using link analysis techniques.
  
• Jamie Shotton, Matthew Johnson, Roberto Cipolla:
  Semantic texton forests for image categorization and segmentation.
  
• Liu Yang, Rong Jin, Rahul Sukthankar, Frédéric Jurie:
  Unifying discriminative visual codebook generation with classifier training for object category recognition.
  

Posters: Motion and Tracking

• Kuan-Wen Chen, Chih-Chuan Lai, Yi-Ping Hung, Chu-Song Chen:
  An adaptive learning method for target tracking across multiple cameras.
  
• Kevin Smith, Alan Carleton, Vincent Lepetit:
  General constraints for batch Multiple-Target Tracking applied to large-scale videomicroscopy.
  
• Yu-Wing Tai, Hao Du, Michael S. Brown, Stephen Lin:
  Image/video deblurring using a hybrid camera.
  
• Minwoo Park, Yanxi Liu, Robert T. Collins:
  Efficient mean shift belief propagation for vision tracking.
  
• Erik Pogalin, Arnold W. M. Smeulders, Andrew H. C. Thean:
  Visual quasi-periodicity.
  
• Arslan Basharat, Alexei Gritai, Mubarak Shah:
  Learning object motion patterns for anomaly detection and improved object detection.
  
• Abhinav Gupta, Trista Chen, Francine Chen, Don Kimber, Larry S. Davis:
  Context and observation driven latent variable model for human pose estimation.
  
• Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi Li, Mingliang Zhu:
  Sequential particle swarm optimization for visual tracking.
  
• Mark A. Keck, James W. Davis:
  3D occlusion recovery using few cameras.
  
• Stefan Hinterstoisser, Selim Benhimane, Nassir Navab, Pascal Fua, Vincent Lepetit:
  Online learning of patch perspective rectification for efficient object detection.
  
• Yi Yao, Chung-Hao Chen, Besma R. Abidi, David Page, Andreas Koschan, Mongi A. Abidi:
  Sensor planning for automated and persistent object tracking with multiple cameras.
  
• Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Mingliang Zhu, Jian Cheng:
  Visual tracking via incremental Log-Euclidean Riemannian subspace learning.
  
• Krishnan Ramnath, Simon Baker, Iain Matthews, Deva Ramanan:
  Increasing the density of Active Appearance Models.
  
• Lin Yang, Bogdan Georgescu, Yefeng Zheng, Peter Meer, Dorin Comaniciu:
  3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers.
  
• Ambrish Tyagi, James W. Davis:
  A recursive filter for linear systems on Riemannian manifolds.
  
• Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, Joachim Weickert, Daniel Cremers, Hans-Peter Seidel:
  Markerless motion capture of man-machine interaction.
  
• Oncel Tuzel, Fatih Murat Porikli, Peter Meer:
  Learning on lie groups for invariant detection and tracking.
  
• Eric Sommerlade, Ian Reid:
  Information-theoretic active scene exploration.
  
• Fernando De la Torre, Minh Hoai Nguyen:
  Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment.
  
• Minh Hoai Nguyen, Fernando De la Torre:
  Local minima free Parameterized Appearance Models.
  
• Masao Shimizu, Shin Yoshimura, Masayuki Tanaka, Masatoshi Okutomi:
  Super-resolution from image sequence under influence of hot-air optical turbulence.
  
• Junzhou Chen, Kin Hong Wong:
  Calibration of an Articulated Camera System.
  
• Jingen Liu, Saad Ali, Mubarak Shah:
  Recognizing human actions using multiple features.
  
• Ruixuan Wang, Wee Kheng Leow, Hon Wai Leong:
  3D-2D spatiotemporal registration for sports motion analysis.
  
• Roberto Valenti, Theo Gevers:
  Accurate eye center location and tracking using isophote curvature.
  
• Ben Daubney, David P. Gibson, Neill W. Campbell:
  Real-time pose estimation of articulated objects using low-level motion.
  
• Akihiko Torii, Michal Havlena, Tomás Pajdla, Bastian Leibe:
  Measuring camera translation by the dominant apical angle.
  
• Hidetomo Sakaino:
  Fluid motion estimation method based on physical properties of waves.
  
• Xiaofeng Ren:
  Finding people in archive films through tracking.
  
• Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huang:
  Discriminative learning of visual words for 3D human pose estimation.
  
• Christopher Mei, Ian Reid:
  Modeling and generating complex motion blur for real-time tracking.
  
• Xiaofeng Ren:
  Local grouping for optical flow.
  
• Hui Ji, Chaoqiang Liu:
  Motion blur identification from image gradients.
  
• Diana Mateus, Radu Horaud, David Knossow, Fabio Cuzzolin, Edmond Boyer:
  Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration.
  
• Ran Eshel, Yael Moses:
  Homography based multiple camera detection and tracking of people in a dense crowd.
  
• George Papandreou, Petros Maragos:
  Adaptive and constrained algorithms for inverse compositional Active Appearance Model fitting.
  
• Wenze Hu, Haifeng Gong, Song Chun Zhu, Yongtian Wang:
  An integrated background model for video surveillance based on primal sketch and 3D scene geometry.
  
• Zhaozheng Yin, Robert T. Collins:
  Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking.
  
• Xun Xu, Thomas S. Huang:
  A Loopy Belief Propagation approach for robust background estimation.
  
• Vitaly Ablavsky, Ashwin Thangali, Stan Sclaroff:
  Layered graphical models for tracking partially-occluded objects.
  
• Hongdong Li, Richard I. Hartley, Jae-Hak Kim:
  A linear approach to motion estimation using generalized camera models.
  
• Marcus A. Brubaker, David J. Fleet:
  The Kneed Walker for human pose tracking.
  
• Bernard Ghanem, Narendra Ahuja:
  Extracting a fluid dynamic texture and the background from video.
  
• Tao Ding, Mario Sznaier, Octavia I. Camps:
  Fast track matching and event detection.
  
• Sai Ravela, John Marshall, Christopher Hill, Andrew Wong, Scott Stransky:
  Tracking rotating fluids in realtime using snapshots.
  
• Ming Yang, Ying Wu:
  Granularity and elasticity adaptation in visual tracking.
  
• ZuWhan Kim:
  Real time object tracking based on dynamic feature grouping with background subtraction.
  
• Richard Souvenir, Justin Babbs:
  Learning the viewpoint manifold for action recognition.
  
• Huy Tho Ho, Roland Göcke:
  Optical flow estimation using Fourier Mellin Transform.
  
• Liang Wang, Xin Geng, Christopher Leckie, Kotagiri Ramamohanarao:
  Moving shape dynamics: A signal processing perspective.
  
• Yilei Xu, Amit K. Roy Chowdhury:
  A theoretical analysis of linear and multi-linear models of image appearance.
  
• Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal:
  Boosting adaptive linear weak classifiers for online learning and tracking.
  
• Qinfeng Shi, Li Wang, Li Cheng, Alexander J. Smola:
  Discriminative human action segmentation and recognition using semi-Markov model.
  
• Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel:
  Drift-free tracking of rigid and articulated objects.
  
• Edward Meeds, David A. Ross, Richard S. Zemel, Sam T. Roweis:
  Learning stick-figure models using nonparametric Bayesian priors over trees.
  
• Ting Yu, Ying Wu, Nils Krahnstoever, Peter H. Tu:
  Distributed data association and filtering for multiple target tracking.
  
• Christophe Collewet, Éric Marchand:
  Modeling complex luminance variations for target tracking.
  
• Ben Glocker, Nikos Paragios, Nikos Komodakis, Georgios Tziritas, Nassir Navab:
  Optical flow estimation with uncertainties through dynamic MRFs.
  
• Xiaoming Liu, Ting Yu, Thomas Sebastian, Peter H. Tu:
  Boosted deformable model for human body alignment.
  
• Simon Lucey:
  Enforcing non-positive weights for stable support vector tracking.
  
• Xiaoxu Wang, Dimitris N. Metaxas, Ting Chen, Leon Axel:
  Meshless deformable models for LV motion analysis.
  
• Peter Eisert, Philipp Fechteler, Jürgen Rurainsky:
  3-D Tracking of shoes for Virtual Mirror applications.
  
• Sreenivas R. Sukumar, Hamparsum Bozdogan, David L. Page, Andreas Koschan, Mongi A. Abidi:
  On handling uncertainty in the fundamental matrix for scene and motion adaptive pose recovery.
  
• Michael S. Ryoo, Jake K. Aggarwal:
  Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects.
  
• Antoni B. Chan, Zhang-Sheng John Liang, Nuno Vasconcelos:
  Privacy preserving crowd monitoring: Counting people without people models or tracking.
  
• Yonggang Jin, Farzin Mokhtarian, Miroslaw Bober, John Illingworth:
  Fuzzy chamfer distance and its probabilistic formulation for visual tracking.
  
• Björn Andres, Claudia Kondermann, Daniel Kondermann, Ullrich Köthe, Fred A. Hamprecht, Christoph S. Garbe:
  On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation.
  
• Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Henry A. Rowley:
  Face tracking and recognition with visual constraints in real-world videos.
  
• Mark Cox, Sridha Sridharan, Simon Lucey, Jeffrey F. Cohn:
  Least squares congealing for unsupervised alignment of images.
  
• Feng Li, Jingyi Yu, Jinxiang Chai:
  A hybrid camera for motion deblurring and depth map super-resolution.
  
• S. M. Nejhum Shahed, Jeffrey Ho, Ming-Hsuan Yang:
  Visual tracking with histograms and articulating blocks.
  
• Vijay Mahadevan, Nuno Vasconcelos:
  Background subtraction in highly dynamic scenes.
  
• Khurram Shafique, Mun Wai Lee, Niels Haering:
  A rank constrained continuous formulation of multi-frame multi-target tracking problem.
  
• Liefeng Bo, Cristian Sminchisescu, Atul Kanaujia, Dimitris N. Metaxas:
  Fast algorithms for large scale conditional 3D prediction.
  
• Ankur Datta, Yaser Sheikh, Takeo Kanade:
  Linear motion estimation for systems of articulated planes.
  

Motion and Tracking

• Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenkins:
  Physical simulation for probabilistic motion tracking.
  
• Andreas Ess, Bastian Leibe, Konrad Schindler, Luc J. Van Gool:
  A mobile vision system for robust multi-person tracking.
  
• Shengyang Dai, Ying Wu:
  Motion from blur.
  
• Mykhaylo Andriluka, Stefan Roth, Bernt Schiele:
  People-tracking-by-detection and people-detection-by-tracking.
  
• Li Zhang, Yuan Li, Ramakant Nevatia:
  Global data association for multi-object tracking using network flows.
  

Object Detection, Categorization, and Recognition

• Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn:
  Epitomic location recognition.
  
• Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann:
  Beyond sliding windows: Object localization by efficient subwindow search.
  
• Derek Hoiem, Alexei A. Efros, Martial Hebert:
  Closing the loop in scene interpretation.
  
• Matthew Brand, Patrick Pletscher:
  A conditional random field for automatic photo editing.
  
• Jingyu Cui, Qiong Yang, Fang Wen, Qiying Wu, Changshui Zhang, Luc J. Van Gool, Xiaoou Tang:
  Transductive object cutout.
  

Posters: Object Recognition and Color & Texture

• Mauricio Villegas, Roberto Paredes:
  Simultaneous learning of a discriminative projection and prototypes for Nearest-Neighbor classification.
  
• Hakan Cevikalp, Bill Triggs, Frédéric Jurie, Robi Polikar:
  Margin-based discriminant dimensionality reduction for visual recognition.
  
• Markus Enzweiler, Dariu M. Gavrila:
  A mixed generative-discriminative framework for pedestrian classification.
  
• Xiaoxu Ma, W. Eric L. Grimson:
  Learning coupled conditional random field for image decomposition with application on object categorization.
  
• Ming-Ching Chang, Benjamin B. Kimia:
  Regularizing 3D medial axis using medial scaffold transforms.
  
• Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen:
  From appearance to context-based recognition: Dense labeling in small images.
  
• Senjian An, Wanquan Liu, Svetha Venkatesh:
  Exploiting side information in locality preserving projection.
  
• Pedro F. Felzenszwalb, David A. McAllester, Deva Ramanan:
  A discriminatively trained, multiscale, deformable part model.
  
• Oren Boiman, Eli Shechtman, Michal Irani:
  In defense of Nearest-Neighbor based image classification.
  
• Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dacheng Tao, Tieniu Tan, Xuelong Li:
  Enhanced biologically inspired model.
  
• Yan Liu, Florent Perronnin:
  A similarity measure between unordered vector sets with application to image categorization.
  
• Margarita Osadchy, Elran Morash:
  Loose shape model for discriminative learning of object categories.
  
• Jinhui Yuan, Jianmin Li, Bo Zhang:
  Scene understanding with discriminative structured prediction.
  
• Matthieu Guillaumin, Thomas Mensink, Jakob J. Verbeek, Cordelia Schmid:
  Automatic face naming with caption-based supervision.
  
• Wei Zhang, Wai-kuen Cham:
  Learning-based face hallucination in DCT domain.
  
• Benoît Combès, Robin Hennessy, John Waddington, Neil Roberts, Sylvain Prima:
  Automatic symmetry plane estimation of bilateral objects in point clouds.
  
• Rolf Lakämper, Marc Sobel:
  Correspondences between parts of shapes with particle filters.
  
• Hichem Sahbi, Jean-Yves Audibert, Jaonary Rabarisoa, Renaud Keriven:
  Context-dependent kernel design for object matching and recognition.
  
• Yanlin Guo, Cen Rao, Supun Samarasekera, Janet Kim, Rakesh Kumar, Harpreet S. Sawhney:
  Matching vehicles under large pose transformations using approximate 3D models and piecewise MRF model.
  
• Andrew C. Gallagher, Tsuhan Chen:
  Estimating age, gender, and identity using first name priors.
  
• Bangsheng Cheng:
  Local tensor descriptor from micro-deformation analysis.
  
• Yantao Zheng, Ming Zhao, Shi-Yong Neo, Tat-Seng Chua, Qi Tian:
  Visual Synset: Towards a higher-level visual representation.
  
• José J. Rodrigues, Pedro M. Q. Aguiar, João M. F. Xavier:
  ANSIG - An analytic signature for permutation-invariant two-dimensional shape representation.
  
• Cheng Chen, Yueting Zhuang, Jun Xiao, Fei Wu:
  Adaptive and compact shape descriptor by progressive feature combination and selection with boosting.
  
• Joerg Liebelt, Cordelia Schmid, Klaus Schertler:
  Viewpoint-independent object class detection using 3D Feature Maps.
  
• Chris Mario Christoudias, Raquel Urtasun, Trevor Darrell:
  Unsupervised feature selection via distributed coding for multi-view object recognition.
  
• Tom Yeh, Trevor Darrell:
  Dynamic visual category learning.
  
• Grégory Rogez, Jonathan Rihan, Srikumar Ramalingam, Carlos Orrite, Philip H. S. Torr:
  Randomized trees for human pose detection.
  
• Ashish Kapoor, Pradeep Shenoy, Desney S. Tan:
  Combining brain computer interfaces with vision for object categorization.
  
• Andrea Vedaldi, Stefano Soatto:
  Relaxed matching kernels for robust image comparison.
  
• Evgeniy Bart, Ian Porteous, Pietro Perona, Max Welling:
  Unsupervised learning of visual taxonomies.
  
• Kamil Wnuk, Stefano Soatto:
  Filtering Internet image search results towards keyword based category recognition.
  
• Josef Sivic, Bryan C. Russell, Andrew Zisserman, William T. Freeman, Alexei A. Efros:
  Unsupervised discovery of visual object class hierarchies.
  
• Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang:
  Improving local learning for object categorization by exploring the effects of ranking.
  
• Lior Wolf, Yoni Donner:
  An experimental study of employing visual appearance as a phenotype.
  
• Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert, Renaud Keriven:
  Manifold learning using robust Graph Laplacian for interactive image search.
  
• Narendra Ahuja, Sinisa Todorovic:
  Connected Segmentation Tree - A joint representation of region layout and hierarchy.
  
• Jianxin Wu, James M. Rehg:
  Where am I: Place instance and category recognition using spatial PACT.
  
• Krystian Mikolajczyk, Hirofumi Uemura:
  Action recognition with motion-appearance vocabulary forest.
  
• Christian Leistner, Helmut Grabner, Horst Bischof:
  Semi-supervised boosting using visual similarity learning.
  
• Subhransu Maji, Alexander C. Berg, Jitendra Malik:
  Classification using intersection kernel support vector machines is efficient.
  
• Honghao Shan, Garrison W. Cottrell:
  Looking around the backyard helps to recognize faces and digits.
  
• Sudheendra Vijayanarasimhan, Kristen Grauman:
  Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization.
  
• Antonio B. Torralba, Robert Fergus, Yair Weiss:
  Small codes and large image databases for recognition.
  
• Tao Ding:
  A robust identification approach to gait recognition.
  
• James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman:
  Lost in quantization: Improving particular object retrieval in large scale image databases.
  
• Junfeng He, Shih-Fu Chang, Lexing Xie:
  Fast kernel learning for spatial pyramid matching.
  
• Ariadna Quattoni, Michael Collins, Trevor Darrell:
  Transfer learning for image classification with sparse prototype representations.
  
• Chanop Silpa-Anan, Richard Hartley:
  Optimised KD-trees for fast image descriptor matching.