1. Ph.D Thesis : Statistical and Computational Theories for Image Segmentation, Texture Modeling, and Object Recognition,
    --- Song Chun Zhu, Harvard University, January, 1996.

  2. FORMS: A Flexible Object Recognition and Modeling System,
    --- S. C. Zhu and A. L.Yuille,
    --- International Journal of Computer Vision, Vol.20, No.3, pp.187-212, 1996. [ps.gz] [reprint pdf]

  3. Region Competition: Unifying Snake/balloon, Region Growing and Bayes/MDL/Energy for multi-band Image Segmentation.
    --- S. C. Zhu and A.L Yuille,
    --- IEEE Trans.on Pattern Analysis and Machine Intelligence, vol.18, no.9, pp.884-900, Sept. 1996. [ps.gz] [reprint pdf] [Long TR]

  4. FRAME: Filters, Random field And Maximum Entropy: --- Towards a Unified Theory for Texture Modeling,
    --- S. C. Zhu, Y. N. Wu and D.B. Mumford,
    --- International Journal of Computer Vision, 27(2) pp.1-20, March/April. 1998. [ps.gz] [reprint pdf]

  5. Minimax Entropy Principle and Its Applications to Texture Modelin
    --- S. C. Zhu, Y.N. Wu and D.B. Mumford,
    --- Neural Computation Vol. 9, no 8, pp 1627-1660, Nov. 1997. [ps.gz] [pdf]

  6. Prior Learning and Gibbs Reaction-Diffusion,
    --- S. C. Zhu and D.B. Mumford,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.19, no.11, pp1236-1250, Nov. 1997. [ps.gz] [reprint pdf]

  7. Stochastic Jump-Diffusion process for computing Medial Axes in Markov Random Fields
    --- S. C. Zhu,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 21, No.11, pp1158-1169, Nov, 1999. [ps.gz] [reprint pdf]

  8. Embedding Gestalt Laws in Markov Random Fields -- A theory for shape modeling and perceptual organization,
    --- S. C. Zhu,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 21, No.11, pp1170-1187, Nov, 1999. [ps.gz] [reprint pdf] [long TR]

  9. Exploring Texture Enesmbles by Efficient Markov Chain Monte Carlo --- Toward a "trichromacy" theory of texture,
    --- S. C. Zhu, X. W. Liu and Y. N. Wu,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 22, No.6, pp 554-569, June, 2000. [ps.gz] [reprint pdf]

  10. Equivalence of Julesz Ensemble and FRAME models
    --- Y. N. Wu, S. C. Zhu and X. W. Liu,
    ---International Journal of Computer Vision, 38(3), 247-265, July, 2000. [ps.gz] [reprint pdf]

  11. Order Parameter for Detecting Target Curves in Images: How does High Level Knowledge Helps?
    --- A. L. Yuille, J. M. Coughlan, Y. N. Wu, and S. C. Zhu,
    --- International Journal of Computer Vision, vol. 41, No. 1/2, pp.9-33, January, 2001. [ps.gz][reprint pdf]

  12. Image Segmentation by Data-Driven Markov Chain Monte Carlo,
    --- Z.W. Tu and S.C. Zhu,
    --- IEEE Trans on Pattern Analysis and Machine Intelligence, vol.24, no.5, pp. 657-673, May, 2002. [ps.gz][reprint pdf]

  13. Learning in Gibbsian Feilds: How Accurate and How Fast can It Be?"
    --- S. C. Zhu and X. W. Liu,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.24, no.7, pp. 1001-1006, July, 2002. [ps.gz] [reprint pdf]

  14. Statistical Edge Detection: Learning and Evaluating Edge Cues,
    --- S. Kinishi, A. L. Yuille, J. M. Coughlan, and S. C. Zhu,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.25, no.1, pp 57-74 January, 2003. [ps.gz] [reprint pdf]

  15. Modeling Visual Patterns by Integrating Descriptive and Generative Models,
    --- C. E Guo, S.C. Zhu, and Y. N. Wu,
    ---International Journal of Computer Vision, 53(1), 5-29, 2003. [ps.gz] [reprint pdf]

  16. Statistical Modeling and Conceptualization of Visual Patterns,
    --- S.C. Zhu,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 25, no.6, pp. 691-712, 2003. [pdf][reprint pdf]

  17. Range Image Segmentation by an Effective Jump-Diffusion Method,
    --- F. Han, Z. W. Tu, and S.C. Zhu,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 26, no. 9, pp 1138-1153, Sept, 2004. [pdf] [reprint pdf]

  18. Analysis and Synthesis of Textured Motion: Particles and Waves,
    --- Y.Z. Wang and S.C. Zhu,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 26, no. 10, pp 1348-1363, Oct, 2004. [pdf] [reprint pdf]

  19. What are Textons?
    --- S.C. Zhu, C. E. Guo, Y.Z. Wang, and Z.J. Xu
    --- Int'l J. of Computer Vision, vol.62(1/2), 121-143, April/May, 2005. [pdf] [reprint pdf]

  20. Image parsing: unifying segmentation, detection and recognition
    --- Z.W. Tu, X.R. Chen, A.L. Yuille, and S.C. Zhu,
    --- Int'l J. of Computer Vision, 63(2), 113-140, 2005. [pdf] [reprint pdf]

  21. Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities
    --- A. Barbu and S.C. Zhu,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.27, no.8, 1239-1253, 2005. [pdf] [reprint pdf]

  22. Parsing Images into Regions, Curves, and Curve Groups
    ---Z.W. Tu and S.C. Zhu,
    --- Int'l Journal of Computer Vision, 69(2), 223-249, August, 2006. [pdf] [reprint.pdf]

  23. First-hitting-time Analysis of Independence Metropolis Sampler.
    --- R. Maciuca and S.C. Zhu,
    ----Journal of Theoretical Probability, 2006 [pdf] [reprint pdf]. A version published at SCTV03 for Vision audience [pdf]

  24. Primal Sketch: Integrating Texture and Structure
    --- C.E. Guo, S.C. Zhu and Y.N. Wu
    ---Computer Vision and Image Understanding, vol. 106, issue 1, 5-19, April, 2007 [pdf] [reprint.pdf]

  25. A Genrative Sketch Model for Human Hair Analysis and Synthesis
    --- H. Chen and S.C. Zhu
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.28, no.7, 1025-1040, July, 2006. [pdf] [reprint.pdf]

  26. From Information Scaling of Natural Images to Regimes of Statistical Models
    --- Y.N. Wu, C.E. Guo, and S.C. Zhu
    --- Quarterly of Applied Mathematics, 2007. [preprint.pdf] (new)

  27. A Stochastic Grammar of Images
    --- S.C. Zhu and D. Mumford
    --- Foundations and Trends in Computer Graphics and Vision, Vol.2, No.4, pp 259-362, 2006. [pdf] [reprint pdf](new)

  28. Generalizing Swendsen-Wang for Image Analysis
    --- A. Barbu and S.C. Zhu
    --- Journal of Computational and Graphical Statistics, vol. 16, no. 4, 877-900, 2007 [pdf]

  29. A Two-Level Generative Model for Cloth Representation and Shape-From-Shading
    --- F. Han and S.C. Zhu
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.29, no.7, pp 1230-1243, July 2007 [pdf]

  30. A Composite Template for Human Face Modeling and Sketch
    --- Z.J. Xu, H. Chen, S.C. Zhu, and J. Luo
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30, no.6, 955-969, 2008. [pdf] [reprint.pdf]

  31. Perceptual Scale Space and Its Applications
    --- Y.Z. Wang and S.C. Zhu
    --- Int'l Journal of Computer Vision (to appear) [pdf] [reprint]

  32. Bottom-up/Top-down Image Parsing with Attribute Graph Grammar
    --- F. Han and S.C. Zhu
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence (to appear), [pdf]

  33. A Compositional and Dynamic Model for Face Aging
    --- J.L. Suo, S.C. Zhu, S. Shan, and X. Chen
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence (under review)

  34. Active Basis for Deformable Object Modeling, Learning and Detection
    ---Y.N. Wu, Z.Z. Si, H.F. Gong, and S.C. Zhu
    --- Int'l Journal of Computer Vision (to appear) [pdf] (new)

  35. Integrating Graph Partition and Matching with Editing
    --- L. Lin, X.B. Liu and S.C. Zhu
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence (under review)

  36. Hierarchical and Contextual Model for Aerial Image Understanding
    --- J. Porway, K. Wang, and S.C. Zhu
    --- Int'l Journal of Computer Vision (under review) [pdf]

  37. Modeling and Inferring 2.1D Sketch with Mixed Markov Random Field

  38. Visual Learning with Implicit and Explicit Manifolds

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