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ORCIDCVPR 2008: Anchorage, Alaska, USA
- 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 24-26 June 2008, Anchorage, Alaska, USA. IEEE Computer Society 2008, ISBN 978-1-4244-2242-5
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 Z. 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 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 A. 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 E. 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 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 Arbeláez, Charless C. 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 R. 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 L. Bauer, Karl V. Steiner:
FuzzyMatte: A computationally efficient scheme for interactive matting.