Center for Image and Vision Science

2009

• B. Z. Yao and S.-C. Zhu, Learning Deformable Action Templates from Crowded Videos, Proc. Int'l Conf. on Computer Vision (ICCV), Kyoto, Japan, 2009.
• X. Yang, T. Wu and S.-C. Zhu, Evaluating Information Contributions of Bottom-up and Top-down Processes, Proc. Int'l Conf. on Computer Vision (ICCV), Kyoto, Japan, 2009.
• Z. Si, H. Gong, Y.-N. Wu and S.-C. Zhu, Learning Mixed Templates for Object Recognition, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, 2009.
• Y. Cong, H. Gong and S.-C. Zhu, Flow Mosaicking: Real-time Pedestrian Counting without Scene-Specific Learning, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, 2009.
• X. Liu, L. Lin and S.-C. Zhu, Trajectory Parsing by Cluster Sampling in Spatio-Temporal Graph, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, 2009.
• L. Lin, K. Zeng, X. Liu and S.-C. Zhu, Layered Graph Matching by Composite Clustering with Collaborative and Competitive Interactions, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, 2009.
• J. Porway, B. Z. Yao and S.-C. Zhu, Learning Compositional Models for Object Categories from Small Sample Sets, Book Chapter in Sven Dickinson et al. (eds.) Object Categorization: Computer and Human Vision Perspectives, Cambridge University Press, 2009.

2008

• J. Porway, K. Wang, and S.-C. Zhu, A Hierarchical and Contextual Model for Aerial Image Understanding Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, June, 2008
• W. HU, H. Gong, S.-C. Zhu, and Y. Wang, An Integrated Background Model for Video Surveillance Based on Primal Sketch and 3D Scene Geometry Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, June, 2008.
• B. Z. Yao, L. Wang and S.-C. Zhu, Learning a Scene Contextual Model for Tracking and Abnormality Detection Proc. 3rd Int'l Workshop on Semantic Learning and Applications in Multimedia, Anchorage, Alaska, June, 2008.
• M.-W. lee, A. Hakeem, N. Haering, and S.-C. Zhu, SAVE: A Framework for Semantic Annotation of Visual Events Proc. 1st Int'l Workshop on Internet Vision, Anchorage, Alaska, June, 2008.

2007

• Y.-N. Wu, Z. Si, C. Fleming, and S.-C. Zhu, Deformable Template As Active Basis Proc. Int'l Conf. on Computer Vision (ICCV), Rio. Brazil, Oct, 2007.
• L. Lin, S. Peng, J. Porway, S.-C. Zhu, and Y. Wang, An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples, Proc. Int'l Conf. on Computer Vision (ICCV), Rio. Brazil, Oct, 2007.
• B. Z. Yao, X. Yang, and S.-C. Zhu, Introduction to a large scale general purpose groundtruth dataset: methodology, annotation tool, and benchmarks, Proc. 6th Int'l Conf on Energy Minimization Methods in CVPR (EMMCVPR), Springer LNCS 4679, Ezhou, China, Aug 2007.
• S. Peng, L. Lin, J. Porway, N. Sang, and S.-C. Zhu, Object category recognition using generative template boosting, Proc. 6th Int'l Conf on Energy Minimization Methods in CVPR (EMMCVPR), Springer LNCS 4679, Ezhou, China, Aug 2007.
• F Min, J.L. Suo, S.-C. Zhu, and N. Sang, An Automatic Portrait System Based on And-Or Graph Representation, Proc. 6th Int'l Conf on Energy Minimization Methods in CVPR (EMMCVPR), Springer LNCS 4679, Ezhou, China, Aug 2007.
• Z. Li, H.F. Gong, S.-C. Zhu, and N. Sang, Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis, Proc. 6th Int'l Conf on Energy Minimization Methods in CVPR (EMMCVPR), Springer LNCS 4679, Ezhou, China, Aug 2007.
• R. Gao, T. Wu, N. Sang, and S.-C. Zhu, Bayesian Inference for Layer Representation with Mixed Markov Random Field, Proc. 6th Int'l Conf on Energy Minimization Methods in CVPR (EMMCVPR), Springer LNCS 4679, Ezhou, China, Aug 2007.
• K, Shi and S.-C. Zhu, Mapping the Ensemble of Natural Image Patches by Emplicit and Implicit Manifolds, Proc. IEEE. Conf. on Computer Vision and Pattern Recognition (CVPR), June, 2007.
• T. Wu, G. Xia, and S.-C. Zhu, Compositional Boosting for Computing Hierarchical Image Structures, Proc. IEEE. Conf. on Computer Vision and Pattern Recognition (CVPR), June, 2007.
• L. Lin, S.-C. Zhu and Y. Wang, Layered Graph Matching with Graph Editing, Proc. IEEE. Conf. on Computer Vision and Pattern Recognition (CVPR), June, 2007.
• J. Suo, F. Min, S.-C. Zhu, S. Shan, and X. Chen, A Multi-Resolution Dynamic Model for Face Aging Simulation, Proc. IEEE. Conf. on Computer Vision and Pattern Recognition (CVPR), June, 2007.

2006

• H. Chen, Z. Xu, Z. Liu, and S.-C. Zhu, Composite Templates for Cloth Modeling and Sketching, Proc. IEEE Conf. on Pattern Recognition and Computer Vision (CVPR), June, 2006.

2005

• A. Barbu and S.-C. Zhu, Incorporating Visual Knowledge Representation in Stereo Reconstruction, Proc. Int'l Conf. on Computer Vision (ICCV), Beijing, China, Oct. 2005.
• Y. Wang, S. Bahrami, and S.-C. Zhu, Perceptual Scale Space and It Applications, Proc. Int'l Conf. on Computer Vision (ICCV), Beijing, China, Oct. 2005.
• F. Han and S.-C. Zhu, Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar, Proc. Int'l Conf. on Computer Vision (ICCV), Beijing, China, Oct. 2005.
• H. Chen and S.-C. Zhu, A generative model of human hair for hair sketching, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Diego, June 2005.
• Z. Xu, H. Chen and S.-C. Zhu, A high resolution grammatical model for face representation and sketching, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Diego, June 2005.
• F. Han and S.C. Zhu, Cloth representation by shape from shading with shading primitives, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Diego, June 2005.

2004

• Y. Wang and S.-C. Zhu, Modeling complex motion by tracking and editing hidden Markov graphs, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Washington, DC, June 2004.
• C. Guo, Y.-N. Wu, and S.-C. Zhu, Information scaling laws in natural scenes, Prod. 2nd Workshop on Generative Model Based Vision, Washington, DC, June 2004.
• A. Barbu and S.-C. Zhu, Multigrid and multi-level Swendsen-Wang cuts for hierarchic graph partition, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Washington, DC, June 2004.
• A. Barbu and S.-C. Zhu, On the relationship between image and motion segmentation, Proc. Workshop on Spatial Coherence for Visual Motion Analysis, Prague, Czech, May, 2004.
• F. Han and S.-C. Zhu, Automatic single view building reconstruction by integrating segmentation, Proc. IEEE Workshop on Perceptual Organization in Computer Vision, Washington, DC, June 2004.

2003

• C. Guo, S.-C. Zhu and Y.-N. Wu, A mathematical theory of primal sketch and sketchability, Proc. of Int'l Conf. on Computer Vision (ICCV), Nice, France, October, 2003.
• Z.-W. Tu, X.-R. Chen, A. L. Yuille, and S.-C. Zhu, Image parsing: segmentation, detection, and recognition, Proc. of Int'l Conf. on Computer Vision (ICCV), Nice, France, October, 2003.
• Y.-Z. Wang and S.-C. Zhu, Modeling textured motion: particles, waves, and cartoon sketch, Proc. of Int'l Conf. on Computer Vision (ICCV), Nice, France, October, 2003.
• A. Barbu and S.-C. Zhu, Graph partition by Swendsen-Wang cut, Proc. of Int'l Conf. on Computer Vision (ICCV), Nice, France, October, 2003.
• A. Dubinskiy and S.-C. Zhu, A multiscale generative model for animate shape and parts, Proc. of Int'l Conf. on Computer Vision (ICCV), Nice, France, October, 2003.
• R. Maciuca and S.-C. Zhu, How do heuristics expedite Markov chain search?, Proc. of Int'l workshop on Statistical and Computational Theories of Vision. (SCTV), Nice, France, October, 2003.
• F. Han and S.-C. Zhu, Bayesian reconstruction of 3D shapes and scenes from a single image, Proc. of Int'l workshop on High Level Knowledge in 3D Modeling and Motion. (HLK), Nice, France, October, 2003.

Previous

• Y.-Z. Wang and S.-C. Zhu, A generative model for textured motion: analysis and synthesis, Proc. of European Conf. on Computer Vision (ECCV), Copenhagen, June,2002.
• Z.-W. Tu and S.-C. Zhu, Parsing images into region and curve processes, Proc. of European Conf. on Computer Vision (ECCV), Copenhagen, June, 2002.
• S.-C. Zhu, C.-E. Guo, Y.-N. Wu, and Y.-Z. Wang, What are textons?, Proc. of European Conf. on Computer Vision (ECCV), Copenhagen, June, 2002.
• Y.-N. Wu, S.-C. Zhu, and C.-E. Guo, Statistical modeling of texture sketch, Proc. of European Conf. on Computer Vision (ECCV), Copenhagen, June, 2002.
• F. Han, Z.-W. Tu, and S.-C. Zhu, A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction, Proc. of European Conf. on Computer Vision (ECCV), Copenhagen, June, 2002.
• Z.-W. Tu, S.-C. Zhu and H. Y. Shum, Image segmentation by data driven Markov chain Monte Carlo, Proc. of Int'l Conference on Computer Vision (ICCV), Vancouver, Canada, July, 2001.
• C.-E. Guo, S.-C. Zhu and Y.-N. Wu, Visual learning by integrating descriptive and generative methods, Proc. of Int'l Conference on Computer Vision (ICCV), Vancouver, Canada, July, 2001.
• C. Liu, S.-C. Zhu, and H. Y. Shum, Learning inhomogeneous Gibbs models of faces by minimax entropy, Proc Int'l Conference on Computer Vision (ICCV), Vancouver, Canada, July, 2001.
• H. Chen, Y.-Q. Xu, H. Y. Shum, S.-C. Zhu, and N. N. Zhen, Example-based facial sketch generation with non-parametric sampling, Proc. Int'l Conference on Computer Vision (ICCV), Vancouver, Canada, July, 2001.