• 
  2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 24-26 June 2008, Anchorage, Alaska, USA. IEEE Computer Society 2008

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 W. Schmidt, Kevin P. 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, Pietro 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

• 
  Kalyan 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, Guo Dong, 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 G. 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.
• 
  Bogdan 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 P. 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 L. 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 D. 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 Jeronimo 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.
• 
  C. 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 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.
• 
  Andrea Torsello: An importance sampling approach to learning structural representations of shape.
• 
  Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas: Simultaneous image transformation and sparse representation recovery.
• 
  Mohamed E. Hussein, Fatih Porikli, Larry S. Davis: Kernel integral images: A framework for fast non-uniform filtering.
• 
  Taeg Sang Cho, Moshe Butman, Shai Avidan, William T. Freeman: The patch transform and its applications to image editing.
• 
  Robby T. Tan: Visibility in bad weather from a single image.
• 
  Jie Chen, Shiguang Shan, Guoying Zhao, Xilin Chen, Wen Gao, Matti Pietikäinen: A robust descriptor based on Weber's Law.
• 
  Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu, Cheng Zhong, Wenbo Dong: Boosting ordinal features for accurate and fast iris recognition.
• 
  Cheng Zhong, Zhenan Sun, Tieniu Tan, Zhaofeng He: Robust 3D face recognition in uncontrolled environments.
• 
  Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma: Image super-resolution as sparse representation of raw image patches.
• 
  Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys: Radiometric calibration with illumination change for outdoor scene analysis.
• 
  Georgios Evangelopoulos, Petros Maragos: Image decomposition into structure and texture subcomponents with multifrequency modulation constraints.
• 
  Bennett Wilburn, Hui Xu, Yasuyuki Matsushita: Radiometric calibration using temporal irradiance mixtures.
• 
  Daniel Pizarro, Julien Peyras, Adrien Bartoli: Light-invariant fitting of active appearance models.
• 
  Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman: Discriminative learned dictionaries for local image analysis.
• 
  Boris Ajdin, Matthias B. Hullin, Christian Fuchs, Hans-Peter Seidel, Hendrik P. A. Lensch: Demosaicing by smoothing along 1D features.
• 
  Mikhail Sizintsev, Konstantinos G. Derpanis, Andrew Hogue: Histogram-based search: A comparative study.
• 
  Jun Takamatsu, Yasuyuki Matsushita, Katsushi Ikeuchi: Estimating camera response functions using probabilistic intensity similarity.
• 
  Neil G. Alldrin, Todd Zickler, David J. Kriegman: Photometric stereo with non-parametric and spatially-varying reflectance.
• 
  Yizhen Huang, Yangjing Long: Demosaicking recognition with applications in digital photo authentication based on a quadratic pixel correlation model.
• 
  Koen E. A. van de Sande, Theo Gevers, Cees G. M. Snoek: Evaluation of color descriptors for object and scene recognition.
• 
  Jian Sun, Zongben Xu, Heung-Yeung Shum: Image super-resolution using gradient profile prior.
• 
  Li Shen, Ping Tan, Stephen Lin: Intrinsic image decomposition with non-local texture cues.
• 
  Min Ding, Kristian Lyngbaek, Avideh Zakhor: Automatic registration of aerial imagery with untextured 3D LiDAR models.
• 
  Sameer Shirdhonkar, David W. Jacobs: Approximate earth mover's distance in linear time.
• 
  Michael Crosier, Lewis D. Griffin: Texture classification with a dictionary of basic image features.
• 
  Ayan Chakrabarti, Keigo Hirakawa, Todd Zickler: Color constancy beyond bags of pixels.

Statistical Methods and Visual Learning

• 
  Jianchao Yang, Shuicheng Yan, Yun Fu, Xuelong Li, Thomas S. Huang: Non-negative graph embedding.
• 
  Miguel Á. Carreira-Perpiñán, Zhengdong Lu: Dimensionality reduction by unsupervised regression.
• 
  Lei Zhang, Quanxue Gao, David Zhang: Directional independent component analysis with tensor representation.
• 
  Maneesh Singh, Vasu Parameswaran, Visvanathan Ramesh: Order consistent change detection via fast statistical significance testing.
• 
  Marshall F. Tappen, Kegan G. G. Samuel, Craig V. Dean, David M. Lyle: The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling.
• 
  Ameet Talwalkar, Sanjiv Kumar, Henry A. Rowley: Large-scale manifold learning.

Stereo

• 
  David Gallup, Jan-Michael Frahm, Philippos Mordohai, Marc Pollefeys: Variable baseline/resolution stereo.
• 
  Oliver J. Woodford, Philip H. S. Torr, Ian D. Reid, Andrew W. Fitzgibbon: Global stereo reconstruction under second order smoothness priors.
• 
  Engin Tola, Vincent Lepetit, Pascal Fua: A fast local descriptor for dense matching.
• 
  Martin Byröd, Zuzana Kukelova, Klas Josephson, Tomás Pajdla, Karl Åström: Fast and robust numerical solutions to minimal problems for cameras with radial distortion.
• 
  Pedro M. Q. Aguiar, João M. F. Xavier, Marko Stosic: Spectrally optimal factorization of incomplete matrices.
• 
  Ram Krishan Kumar, Adrian Ilie, Jan-Michael Frahm, Marc Pollefeys: Simple calibration of non-overlapping cameras with a mirror.

Posters: Stereo and Structure from Motion, Image and Video Retrieval, Object Detection and Categorization

• 
  Federico Tombari, Stefano Mattoccia, Luigi di Stefano, Elisa Addimanda: Classification and evaluation of cost aggregation methods for stereo correspondence.
• 
  Noah Snavely, Steven M. Seitz, Richard Szeliski: Skeletal graphs for efficient structure from motion.
•