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Song Chun Zhu: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

Adrian Barbu, Song Chun Zhu
Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition. [Citation Graph (0, 0)][DBLP]
CVPR (2), 2004, pp:731-738 [Conf]
Hong Chen, Zijian Xu, Ziqiang Liu, Song Chun Zhu
Composite Templates for Cloth Modeling and Sketching. [Citation Graph (0, 0)][DBLP]
CVPR (1), 2006, pp:943-950 [Conf]
Hong Chen, Song Chun Zhu
A Generative Model of Human Hair for Hair Sketching. [Citation Graph (0, 0)][DBLP]
CVPR (2), 2005, pp:74-81 [Conf]
Feng Han, Song Chun Zhu
Cloth Representation by Shape from Shading with Shading Primitives. [Citation Graph (0, 0)][DBLP]
CVPR (1), 2005, pp:1203-1210 [Conf]
Scott Konishi, Alan L. Yuille, James M. Coughlan, Song Chun Zhu
Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues. [Citation Graph (0, 0)][DBLP]
CVPR, 1999, pp:1573-1579 [Conf]
Yizhou Wang, Song Chun Zhu
Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs. [Citation Graph (0, 0)][DBLP]
CVPR (1), 2004, pp:856-863 [Conf]
Zijian Xu, Hong Chen, Song Chun Zhu
A High Resolution Grammatical Model for Face Representation and Sketching. [Citation Graph (0, 0)][DBLP]
CVPR (2), 2005, pp:470-477 [Conf]
Song Chun Zhu
Stochastic Computation of Medial Axis in Markov Random Fields. [Citation Graph (0, 0)][DBLP]
CVPR, 1998, pp:72-79 [Conf]
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, Yingnian Wu
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help? [Citation Graph (0, 0)][DBLP]
CVPR, 2000, pp:1558-1565 [Conf]
Song Chun Zhu, Xiuwen Liu
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be? [Citation Graph (0, 0)][DBLP]
CVPR, 2000, pp:2002-2008 [Conf]
Song Chun Zhu, David Mumford
Learning Generic Prior Models for Visual Computation. [Citation Graph (0, 0)][DBLP]
CVPR, 1997, pp:463-469 [Conf]
Song Chun Zhu, Yingnian Wu, David Mumford
FRAME: Filters, Random fields, and Minimax Entropy-- Towards a Unified Theory for Texture Modeling. [Citation Graph (0, 0)][DBLP]
CVPR, 1996, pp:686-693 [Conf]
Song Chun Zhu, Rong Zhang, Zhuowen Tu
Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo. [Citation Graph (0, 0)][DBLP]
CVPR, 2000, pp:1738-1745 [Conf]
Feng Han, Zhuowen Tu, Song Chun Zhu
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction. [Citation Graph (0, 0)][DBLP]
ECCV (3), 2002, pp:502-516 [Conf]
Zhuowen Tu, Song Chun Zhu
Parsing Images into Region and Curve Processes. [Citation Graph (0, 0)][DBLP]
ECCV (3), 2002, pp:393-407 [Conf]
Ying Nian Wu, Song Chun Zhu, Cheng-en Guo
Statistical Modeling of Texture Sketch. [Citation Graph (0, 0)][DBLP]
ECCV (3), 2002, pp:240-254 [Conf]
Yizhou Wang, Song Chun Zhu
A Generative Method for Textured Motion: Analysis and Synthesis. [Citation Graph (0, 0)][DBLP]
ECCV (1), 2002, pp:583-598 [Conf]
Song Chun Zhu, Cheng-en Guo, Ying Nian Wu, Yizhou Wang
What Are Textons? [Citation Graph (0, 0)][DBLP]
ECCV (4), 2002, pp:793-807 [Conf]
Feng Han, Song Chun Zhu
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image. [Citation Graph (0, 0)][DBLP]
HLK, 2003, pp:12-20 [Conf]
Adrian Barbu, Song Chun Zhu
Graph Partition by Swendsen-Wang Cuts. [Citation Graph (0, 0)][DBLP]
ICCV, 2003, pp:320-329 [Conf]
Adrian Barbu, Song Chun Zhu
Incorporating Visual Knowledge Representation in Stereo Reconstruction. [Citation Graph (0, 0)][DBLP]
ICCV, 2005, pp:572-579 [Conf]
Hong Chen, Ying-Qing Xu, Heung-Yeung Shum, Song Chun Zhu, Nan-Ning Zheng
Example-Based Facial Sketch Generation with Non-parametric Sampling. [Citation Graph (0, 0)][DBLP]
ICCV, 2001, pp:433-438 [Conf]
Aleksandr Dubinskiy, Song Chun Zhu
A Multi-scale Generative Model for Animate Shapes and Parts. [Citation Graph (0, 0)][DBLP]
ICCV, 2003, pp:249-256 [Conf]
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
Visual Learning by Integrating Descriptive and Generative Methods. [Citation Graph (0, 0)][DBLP]
ICCV, 2001, pp:370-377 [Conf]
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
Towards a Mathematical Theory of Primal Sketch and Sketchability. [Citation Graph (0, 0)][DBLP]
ICCV, 2003, pp:1228-1235 [Conf]
Feng Han, Song Chun Zhu
Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar. [Citation Graph (0, 0)][DBLP]
ICCV, 2005, pp:1778-1785 [Conf]
Ce Liu, Song Chun Zhu, Heung-Yeung Shum
Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy. [Citation Graph (0, 0)][DBLP]
ICCV, 2001, pp:281-287 [Conf]
Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu
Image Parsing: Unifying Segmentation, Detection, and Recognition. [Citation Graph (0, 0)][DBLP]
ICCV, 2003, pp:18-25 [Conf]
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
Image Segmentation by Data Driven Markov Chain Monte Carlo. [Citation Graph (0, 0)][DBLP]
ICCV, 2001, pp:131-138 [Conf]
Yizhou Wang, Siavosh Bahrami, Song Chun Zhu
Perceptual Scale Space and its Applications. [Citation Graph (0, 0)][DBLP]
ICCV, 2005, pp:58-65 [Conf]
Yizhou Wang, Song Chun Zhu
Modeling Textured Motion : Particle, Wave and Sketch. [Citation Graph (0, 0)][DBLP]
ICCV, 2003, pp:213-220 [Conf]
Ying Nian Wu, Song Chun Zhu, Xiuwen Liu
Equivalence of Julesz and Gibbs Texture Ensembles. [Citation Graph (0, 0)][DBLP]
ICCV, 1999, pp:1025-1032 [Conf]
Song Chun Zhu, Tai Sing Lee, Alan L. Yuille
Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. [Citation Graph (0, 0)][DBLP]
ICCV, 1995, pp:416-0 [Conf]
Song Chun Zhu, David Mumford
GRADE: Gibbs Reaction and Diffusion Equation. [Citation Graph (0, 0)][DBLP]
ICCV, 1998, pp:847-856 [Conf]
Song Chun Zhu, Alan L. Yuille
FORMS: A Flexible Object Recognition and Modelling System. [Citation Graph (0, 0)][DBLP]
ICCV, 1995, pp:465-472 [Conf]
Song Chun Zhu, Alan L. Yuille
A Framework for Shape Representation and Recognition. [Citation Graph (0, 0)][DBLP]
ICIP (1), 1994, pp:671-675 [Conf]
Adrian Barbu, Song Chun Zhu
On the Relationship Between Image and Motion Segmentation. [Citation Graph (0, 0)][DBLP]
SCVMA, 2004, pp:51-63 [Conf]
Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu
Image Parsing: Unifying Segmentation, Detection, and Recognition. [Citation Graph (0, 0)][DBLP]
Toward Category-Level Object Recognition, 2006, pp:545-576 [Conf]
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
Modeling Visual Patterns by Integrating Descriptive and Generative Methods. [Citation Graph (0, 0)][DBLP]
International Journal of Computer Vision, 2003, v:53, n:1, pp:5-29 [Journal]
Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu
Image Parsing: Unifying Segmentation, Detection, and Recognition. [Citation Graph (0, 0)][DBLP]
International Journal of Computer Vision, 2005, v:63, n:2, pp:113-140 [Journal]
Ying Nian Wu, Song Chun Zhu, Xiuwen Liu
Equivalence of Julesz Ensembles and FRAME Models. [Citation Graph (0, 0)][DBLP]
International Journal of Computer Vision, 2000, v:38, n:3, pp:247-265 [Journal]
Alan L. Yuille, James M. Coughlan, Yingnian Wu, Song Chun Zhu
Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help? [Citation Graph (0, 0)][DBLP]
International Journal of Computer Vision, 2001, v:41, n:1/2, pp:9-33 [Journal]
Alan L. Yuille, Song Chun Zhu, David Mumford
Introduction by Guest Editors. [Citation Graph (0, 0)][DBLP]
International Journal of Computer Vision, 2001, v:41, n:1/2, pp:7- [Journal]
Zhuowen Tu, Song Chun Zhu
Parsing Images into Regions, Curves, and Curve Groups. [Citation Graph (0, 0)][DBLP]
International Journal of Computer Vision, 2006, v:69, n:2, pp:223-249 [Journal]
Song Chun Zhu, Cheng-en Guo, Yizhou Wang, Zijian Xu
What are Textons? [Citation Graph (0, 0)][DBLP]
International Journal of Computer Vision, 2005, v:62, n:1-2, pp:121-143 [Journal]
Song Chun Zhu, Alan L. Yuille, David Mumford
Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I. [Citation Graph (0, 0)][DBLP]
International Journal of Computer Vision, 2000, v:40, n:1, pp:5-6 [Journal]
Song Chun Zhu, Ying Nian Wu
From local features to global perception - A perspective of Gestalt psychology from Markov random field theory. [Citation Graph (0, 0)][DBLP]
Neurocomputing, 1999, v:26, n:, pp:939-945 [Journal]
Song Chun Zhu, Ying Nian Wu, David Mumford
Minimax Entropy Principle and Its Application to Texture Modeling. [Citation Graph (0, 0)][DBLP]
Neural Computation, 1997, v:9, n:8, pp:1627-1660 [Journal]
Adrian Barbu, Song Chun Zhu
Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:8, pp:1239-1253 [Journal]
Hong Chen, Song Chun Zhu
A Generative Sketch Model for Human Hair Analysis and Synthesis. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:7, pp:1025-1040 [Journal]
Feng Han, Zhuowen Tu, Song Chun Zhu
Range Image Segmentation by an Effective Jump-Diffusion Method. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:9, pp:1138-1153 [Journal]
Scott Konishi, Alan L. Yuille, James M. Coughlan, Song Chun Zhu
Statistical Edge Detection: Learning and Evaluating Edge Cues. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:1, pp:57-74 [Journal]
Zhuowen Tu, Song Chun Zhu
Image Segmentation by Data-Driven Markov Chain Monte Carlo. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:5, pp:657-673 [Journal]
Yizhou Wang, Song Chun Zhu
Analysis and Synthesis of Textured Motion: Particles and Waves. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:10, pp:1348-1363 [Journal]
Song Chun Zhu
Stochastic Jump-Diffusion Process for Computing Medial Axes in Markov Random Fields. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 1999, v:21, n:11, pp:1158-1169 [Journal]
Song Chun Zhu
Embedding Gestalt Laws in Markov Random Fields. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 1999, v:21, n:11, pp:1170-1187 [Journal]
Song Chun Zhu
Statistical Modeling and Conceptualization of Visual Patterns. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:6, pp:691-712 [Journal]
Song Chun Zhu, Xiuwen Liu
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be? [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:7, pp:1001-1006 [Journal]
Song Chun Zhu, Xiuwen Liu, Ying Nian Wu
Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 2000, v:22, n:6, pp:554-569 [Journal]
Song Chun Zhu, David Mumford
Prior Learning and Gibbs Reaction-Diffusion. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 1997, v:19, n:11, pp:1236-1250 [Journal]
Song Chun Zhu, Alan L. Yuille
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 1996, v:18, n:9, pp:884-900 [Journal]
Feng Han, Song Chun Zhu
A Two-Level Generative Model for Cloth Representation and Shape from Shading. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:7, pp:1230-1243 [Journal]
Kent Shi, Song-Chun Zhu
Mapping Natural Image Patches by Explicit and Implicit Manifolds. [Citation Graph (0, 0)][DBLP]
CVPR, 2007, pp:- [Conf]
Tian-Fu Wu, Gui-Song Xia, Song Chun Zhu
Compositional Boosting for Computing Hierarchical Image Structures. [Citation Graph (0, 0)][DBLP]
CVPR, 2007, pp:- [Conf]
Liang Lin, Song Chun Zhu, Yongtian Wang
Layered Graph Match with Graph Editing. [Citation Graph (0, 0)][DBLP]
CVPR, 2007, pp:- [Conf]
Jin-Li Suo, Feng Min, Song Chun Zhu, Shiguang Shan, Xilin Chen
A Multi-Resolution Dynamic Model for Face Aging Simulation. [Citation Graph (0, 0)][DBLP]
CVPR, 2007, pp:- [Conf]
Zheng Li, Haifeng Gong, Song Chun Zhu, Nong Sang
Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis. [Citation Graph (0, 0)][DBLP]
EMMCVPR, 2007, pp:350-361 [Conf]
Ru-Xin Gao, Tian-Fu Wu, Song Chun Zhu, Nong Sang
Bayesian Inference for Layer Representation with Mixed Markov Random Field. [Citation Graph (0, 0)][DBLP]
EMMCVPR, 2007, pp:213-224 [Conf]
Feng Min, Jin-Li Suo, Song Chun Zhu, Nong Sang
An Automatic Portrait System Based on And-Or Graph Representation. [Citation Graph (0, 0)][DBLP]
EMMCVPR, 2007, pp:184-197 [Conf]
Shaowu Peng, Liang Lin, Jake Porway, Nong Sang, Song Chun Zhu
Object Category Recognition Using Generative Template Boosting. [Citation Graph (0, 0)][DBLP]
EMMCVPR, 2007, pp:198-212 [Conf]
Benjamin Yao, Xiong Yang, Song Chun Zhu
Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks. [Citation Graph (0, 0)][DBLP]
EMMCVPR, 2007, pp:169-183 [Conf]
A hierarchical and contextual model for aerial image understanding. [Citation Graph (, )][DBLP]
An integrated background model for video surveillance based on primal sketch and 3D scene geometry. [Citation Graph (, )][DBLP]
Layered graph matching by composite cluster sampling with collaborative and competitive interactions. [Citation Graph (, )][DBLP]
Trajectory parsing by cluster sampling in spatio-temporal graph. [Citation Graph (, )][DBLP]
Learning mixed templates for object recognition. [Citation Graph (, )][DBLP]
Flow mosaicking: Real-time pedestrian counting without scene-specific learning. [Citation Graph (, )][DBLP]
Design sparse features for age estimation using hierarchical face model. [Citation Graph (, )][DBLP]
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples. [Citation Graph (, )][DBLP]
Deformable Template As Active Basis. [Citation Graph (, )][DBLP]
Sisley the abstract painter. [Citation Graph (, )][DBLP]
Painterly animation using video semantics and feature correspondence. [Citation Graph (, )][DBLP]
Primal sketch: Integrating structure and texture. [Citation Graph (, )][DBLP]

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