| 2008 |
|---|
| 74 | EE | Zijian Xu,
Hong Chen,
Song Chun Zhu,
Jiebo Luo:
A Hierarchical Compositional Model for Face Representation and Sketching.
IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 955-969 (2008) |
| 2007 |
|---|
| 73 | | Alan L. Yuille,
Song Chun Zhu,
Daniel Cremers,
Yongtian Wang:
Energy Minimization Methods in Computer Vision and Pattern Recognition, 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings
Springer 2007 |
| 72 | EE | Jin-Li Suo,
Feng Min,
Song Chun Zhu,
Shiguang Shan,
Xilin Chen:
A Multi-Resolution Dynamic Model for Face Aging Simulation.
CVPR 2007 |
| 71 | EE | Tian-Fu Wu,
Gui-Song Xia,
Song Chun Zhu:
Compositional Boosting for Computing Hierarchical Image Structures.
CVPR 2007 |
| 70 | EE | Liang Lin,
Song Chun Zhu,
Yongtian Wang:
Layered Graph Match with Graph Editing.
CVPR 2007 |
| 69 | EE | Kent Shi,
Song Chun Zhu:
Mapping Natural Image Patches by Explicit and Implicit Manifolds.
CVPR 2007 |
| 68 | EE | Benjamin Yao,
Xiong Yang,
Song Chun Zhu:
Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks.
EMMCVPR 2007: 169-183 |
| 67 | EE | Feng Min,
Jin-Li Suo,
Song Chun Zhu,
Nong Sang:
An Automatic Portrait System Based on And-Or Graph Representation.
EMMCVPR 2007: 184-197 |
| 66 | EE | Shaowu Peng,
Liang Lin,
Jake Porway,
Nong Sang,
Song Chun Zhu:
Object Category Recognition Using Generative Template Boosting.
EMMCVPR 2007: 198-212 |
| 65 | EE | Ru-Xin Gao,
Tian-Fu Wu,
Song Chun Zhu,
Nong Sang:
Bayesian Inference for Layer Representation with Mixed Markov Random Field.
EMMCVPR 2007: 213-224 |
| 64 | EE | Zheng Li,
Haifeng Gong,
Song Chun Zhu,
Nong Sang:
Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis.
EMMCVPR 2007: 350-361 |
| 63 | EE | Feng Han,
Song Chun Zhu:
A Two-Level Generative Model for Cloth Representation and Shape from Shading.
IEEE Trans. Pattern Anal. Mach. Intell. 29(7): 1230-1243 (2007) |
| 2006 |
|---|
| 62 | EE | Hong Chen,
Zijian Xu,
Ziqiang Liu,
Song Chun Zhu:
Composite Templates for Cloth Modeling and Sketching.
CVPR (1) 2006: 943-950 |
| 61 | EE | Zhuowen Tu,
Xiangrong Chen,
Alan L. Yuille,
Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition.
Toward Category-Level Object Recognition 2006: 545-576 |
| 60 | EE | Song Chun Zhu,
David Mumford:
A Stochastic Grammar of Images.
Foundations and Trends in Computer Graphics and Vision 2(4): 259-362 (2006) |
| 59 | EE | Hong Chen,
Song Chun Zhu:
A Generative Sketch Model for Human Hair Analysis and Synthesis.
IEEE Trans. Pattern Anal. Mach. Intell. 28(7): 1025-1040 (2006) |
| 58 | EE | Zhuowen Tu,
Song Chun Zhu:
Parsing Images into Regions, Curves, and Curve Groups.
International Journal of Computer Vision 69(2): 223-249 (2006) |
| 2005 |
|---|
| 57 | EE | Feng Han,
Song Chun Zhu:
Cloth Representation by Shape from Shading with Shading Primitives.
CVPR (1) 2005: 1203-1210 |
| 56 | EE | Zijian Xu,
Hong Chen,
Song Chun Zhu:
A High Resolution Grammatical Model for Face Representation and Sketching.
CVPR (2) 2005: 470-477 |
| 55 | EE | Hong Chen,
Song Chun Zhu:
A Generative Model of Human Hair for Hair Sketching.
CVPR (2) 2005: 74-81 |
| 54 | EE | Feng Han,
Song Chun Zhu:
Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar.
ICCV 2005: 1778-1785 |
| 53 | EE | Adrian Barbu,
Song Chun Zhu:
Incorporating Visual Knowledge Representation in Stereo Reconstruction.
ICCV 2005: 572-579 |
| 52 | EE | Yizhou Wang,
Siavosh Bahrami,
Song Chun Zhu:
Perceptual Scale Space and its Applications.
ICCV 2005: 58-65 |
| 51 | EE | Adrian Barbu,
Song Chun Zhu:
Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities.
IEEE Trans. Pattern Anal. Mach. Intell. 27(8): 1239-1253 (2005) |
| 50 | EE | Song Chun Zhu,
Cheng-en Guo,
Yizhou Wang,
Zijian Xu:
What are Textons?
International Journal of Computer Vision 62(1-2): 121-143 (2005) |
| 49 | EE | Zhuowen Tu,
Xiangrong Chen,
Alan L. Yuille,
Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition.
International Journal of Computer Vision 63(2): 113-140 (2005) |
| 2004 |
|---|
| 48 | EE | Yizhou Wang,
Song Chun Zhu:
Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs.
CVPR (1) 2004: 856-863 |
| 47 | EE | Adrian Barbu,
Song Chun Zhu:
Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition.
CVPR (2) 2004: 731-738 |
| 46 | EE | Adrian Barbu,
Song Chun Zhu:
On the Relationship Between Image and Motion Segmentation.
SCVMA 2004: 51-63 |
| 45 | EE | Yizhou Wang,
Song Chun Zhu:
Analysis and Synthesis of Textured Motion: Particles and Waves.
IEEE Trans. Pattern Anal. Mach. Intell. 26(10): 1348-1363 (2004) |
| 44 | EE | Feng Han,
Zhuowen Tu,
Song Chun Zhu:
Range Image Segmentation by an Effective Jump-Diffusion Method.
IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1138-1153 (2004) |
| 2003 |
|---|
| 43 | EE | Feng Han,
Song Chun Zhu:
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image.
HLK 2003: 12-20 |
| 42 | EE | Cheng-en Guo,
Song Chun Zhu,
Ying Nian Wu:
Towards a Mathematical Theory of Primal Sketch and Sketchability.
ICCV 2003: 1228-1235 |
| 41 | EE | Zhuowen Tu,
Xiangrong Chen,
Alan L. Yuille,
Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition.
ICCV 2003: 18-25 |
| 40 | EE | Yizhou Wang,
Song Chun Zhu:
Modeling Textured Motion : Particle, Wave and Sketch.
ICCV 2003: 213-220 |
| 39 | EE | Aleksandr Dubinskiy,
Song Chun Zhu:
A Multi-scale Generative Model for Animate Shapes and Parts.
ICCV 2003: 249-256 |
| 38 | EE | Adrian Barbu,
Song Chun Zhu:
Graph Partition by Swendsen-Wang Cuts.
ICCV 2003: 320-329 |
| 37 | EE | Scott Konishi,
Alan L. Yuille,
James M. Coughlan,
Song Chun Zhu:
Statistical Edge Detection: Learning and Evaluating Edge Cues.
IEEE Trans. Pattern Anal. Mach. Intell. 25(1): 57-74 (2003) |
| 36 | EE | Song Chun Zhu:
Statistical Modeling and Conceptualization of Visual Patterns.
IEEE Trans. Pattern Anal. Mach. Intell. 25(6): 691-712 (2003) |
| 35 | | Cheng-en Guo,
Song Chun Zhu,
Ying Nian Wu:
Modeling Visual Patterns by Integrating Descriptive and Generative Methods.
International Journal of Computer Vision 53(1): 5-29 (2003) |
| 2002 |
|---|
| 34 | EE | Yizhou Wang,
Song Chun Zhu:
A Generative Method for Textured Motion: Analysis and Synthesis.
ECCV (1) 2002: 583-598 |
| 33 | EE | Ying Nian Wu,
Song Chun Zhu,
Cheng-en Guo:
Statistical Modeling of Texture Sketch.
ECCV (3) 2002: 240-254 |
| 32 | EE | Zhuowen Tu,
Song Chun Zhu:
Parsing Images into Region and Curve Processes.
ECCV (3) 2002: 393-407 |
| 31 | EE | Feng Han,
Zhuowen Tu,
Song Chun Zhu:
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction.
ECCV (3) 2002: 502-516 |
| 30 | EE | Song Chun Zhu,
Cheng-en Guo,
Ying Nian Wu,
Yizhou Wang:
What Are Textons?
ECCV (4) 2002: 793-807 |
| 29 | EE | Zhuowen Tu,
Song Chun Zhu:
Image Segmentation by Data-Driven Markov Chain Monte Carlo.
IEEE Trans. Pattern Anal. Mach. Intell. 24(5): 657-673 (2002) |
| 28 | EE | Song Chun Zhu,
Xiuwen Liu:
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
IEEE Trans. Pattern Anal. Mach. Intell. 24(7): 1001-1006 (2002) |
| 2001 |
|---|
| 27 | | Zhuowen Tu,
Song Chun Zhu,
Heung-Yeung Shum:
Image Segmentation by Data Driven Markov Chain Monte Carlo.
ICCV 2001: 131-138 |
| 26 | | Ce Liu,
Song Chun Zhu,
Heung-Yeung Shum:
Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy.
ICCV 2001: 281-287 |
| 25 | | Cheng-en Guo,
Song Chun Zhu,
Ying Nian Wu:
Visual Learning by Integrating Descriptive and Generative Methods.
ICCV 2001: 370-377 |
| 24 | | Hong Chen,
Ying-Qing Xu,
Heung-Yeung Shum,
Song Chun Zhu,
Nan-Ning Zheng:
Example-Based Facial Sketch Generation with Non-parametric Sampling.
ICCV 2001: 433-438 |
| 23 | | Alan L. Yuille,
Song Chun Zhu,
David Mumford:
Introduction by Guest Editors.
International Journal of Computer Vision 41(1/2): 7 (2001) |
| 22 | | Alan L. Yuille,
James M. Coughlan,
Ying Nian Wu,
Song Chun Zhu:
Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help?
International Journal of Computer Vision 41(1/2): 9-33 (2001) |
| 2000 |
|---|
| 21 | EE | Alan L. Yuille,
James M. Coughlan,
Song Chun Zhu,
Ying Nian Wu:
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
CVPR 2000: 1558-1565 |
| 20 | EE | Song Chun Zhu,
Rong Zhang,
Zhuowen Tu:
Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo.
CVPR 2000: 1738-1745 |
| 19 | EE | Song Chun Zhu,
Xiuwen Liu:
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
CVPR 2000: 2002-2008 |
| 18 | EE | Song Chun Zhu,
Xiuwen Liu,
Ying Nian Wu:
Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture.
IEEE Trans. Pattern Anal. Mach. Intell. 22(6): 554-569 (2000) |
| 17 | | Ying Nian Wu,
Song Chun Zhu,
Xiuwen Liu:
Equivalence of Julesz Ensembles and FRAME Models.
International Journal of Computer Vision 38(3): 247-265 (2000) |
| 16 | | Song Chun Zhu,
Alan L. Yuille,
David Mumford:
Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I.
International Journal of Computer Vision 40(1): 5-6 (2000) |
| 1999 |
|---|
| 15 | EE | Scott Konishi,
Alan L. Yuille,
James M. Coughlan,
Song Chun Zhu:
Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues.
CVPR 1999: 1573-1579 |
| 14 | EE | Ying Nian Wu,
Song Chun Zhu,
Xiuwen Liu:
Equivalence of Julesz and Gibbs Texture Ensembles.
ICCV 1999: 1025-1032 |
| 13 | EE | Song Chun Zhu:
Stochastic Jump-Diffusion Process for Computing Medial Axes in Markov Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell. 21(11): 1158-1169 (1999) |
| 12 | EE | Song Chun Zhu:
Embedding Gestalt Laws in Markov Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell. 21(11): 1170-1187 (1999) |
| 11 | EE | Song Chun Zhu,
Ying Nian Wu:
From local features to global perception - A perspective of Gestalt psychology from Markov random field theory.
Neurocomputing 26-27: 939-945 (1999) |
| 1998 |
|---|
| 10 | EE | Song Chun Zhu:
Stochastic Computation of Medial Axis in Markov Random Fields.
CVPR 1998: 72-79 |
| 9 | | Song Chun Zhu,
David Mumford:
GRADE: Gibbs Reaction and Diffusion Equation.
ICCV 1998: 847-856 |
| 1997 |
|---|
| 8 | EE | Song Chun Zhu,
David Mumford:
Learning Generic Prior Models for Visual Computation.
CVPR 1997: 463-469 |
| 7 | | Song Chun Zhu,
David Mumford:
Prior Learning and Gibbs Reaction-Diffusion.
IEEE Trans. Pattern Anal. Mach. Intell. 19(11): 1236-1250 (1997) |
| 6 | EE | Song Chun Zhu,
Ying Nian Wu,
David Mumford:
Minimax Entropy Principle and Its Application to Texture Modeling.
Neural Computation 9(8): 1627-1660 (1997) |
| 1996 |
|---|
| 5 | EE | Song Chun Zhu,
Ying Nian Wu,
David Mumford:
FRAME: Filters, Random fields, and Minimax Entropy-- Towards a Unified Theory for Texture Modeling.
CVPR 1996: 686-693 |
| 4 | EE | Song Chun Zhu,
Alan L. Yuille:
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell. 18(9): 884-900 (1996) |
| 1995 |
|---|
| 3 | EE | Song Chun Zhu,
Tai Sing Lee,
Alan L. Yuille:
Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation.
ICCV 1995: 416- |
| 2 | EE | Song Chun Zhu,
Alan L. Yuille:
FORMS: A Flexible Object Recognition and Modelling System.
ICCV 1995: 465-472 |
| 1994 |
|---|
| 1 | | Song Chun Zhu,
Alan L. Yuille:
A Framework for Shape Representation and Recognition.
ICIP (1) 1994: 671-675 |
