Some Recent Talks


  1. UC Riverside EE Colloqium, January, 2012
    Learning Visual Knowledge by Information Projection
  2. UC LA CS seminar, May, 2012
    Spatial, temporal, and Causal Inference for Understabding Image and Video
  3. NSF Workshop on Frontier of Vision, August, 2011.
    Lecture 1: Hack, Math, and Stat [ppt slides ]
    Lecture 2: Visual Conceptualization by Stochastic Sets [ppt slides ]
  4. IPAM Summer School on Probabilistic Models of Cognition, July, 2011.
    Lecture 1: Learning And-Or Graph Representations for Objects and Events
    Lecture 2: Top-down/Bottom-up Inference in And-Or graphs
  5. Seminar at the Redwood Center for Theoretical Neuroscience at UC Berkeley on November 12, 2009
    Information Scaling and Perceptual Transitions in Natural Images and Video
  6. Beijing Summer School on Vision, Learning, and Pattern Recognition, July 2009,
    Lecture 1: Pursuing Manifolds in the Universe of Images [pdf]
    Lecture 2: Inference in And-Or Graphs [pdf]
  7. The J.K. Aggarwal Lecture, a plenary speech at the ICPR08, Dec.10, 2008, Pursuing Implicit and Explicit Manifolds by Information projection [ pdf ]
  8. Plenary Speech at the Chinese Conference on Pattern Recognition, Oct. Beijing,
  9. Psychology Workshop on Natural Environments Tasks and Intelligence, March, 2008, UT Austin, Information Scaling and Manifolds Learning in Natural Images and Video
  10. Computer Vision Distinguished Speaker Series, March, 2008, UCF, Visual Learning and Conceptualization: pursuing manifolds in the universe of images.
  11. NIPS workshop on the Grammar of Vision, Dec. 2007, Van Couver, Canada, Object Category by Stochastic Grammar
  12. Object Video Seminar, Nov. 2007, Object Recognition in Natural and Aerial Images
  13. Int'l Workshop on Object Categorization, Oct. 2007, Rio, Brazil. Object Category Modeling, Learning, and Recognition by Stochastic Grammar [pdf]
  14. MIT Vision Symposium, May, 2007, Cambridge, MA. Object Category Modeling, Learning, and Recognition by Stochastic Grammar. [pdf]
  15. Symposium on the Mathematics of Perception, June, 2007. Newport, RI. Quest for a Stochastic Grammar of Images. [pdf]
  16. Chinese Academy of Science, Institute of Computing Seminar, Mar. 2007, Beijing. Computer Vision and High Performance Computing. [pdf]
  17. ChangJiang Scholar Lectureship, Huazhong University of Science and Technology, Mar. 2007, Foundation and Trend in Computer Vision. [pdf]
  18. Workshop on Texture and Natural Image Processing, Jan. 2007, Paris, France. Texture, Texton and Primal Sketch: Integrating MRF and Wavelets [pdf]
  19. International Symposium on Vision by Brains and Machines, Nov. 2006, MonteVideo, Uruguay. Visual Learning with Implicit and Explicit Manifolds [pdf]
  20. Dragon Star Lecture Series, July 2006, Modeling, Learning, and Conceptualizing Visual Patterns.
  21. Int'l Workshop on Semantic Learning, June 2006, Knowledge Representation and Learning Schemes for Large Object Categories [pdf]
  22. IMA workshop on Visual Learning and Recognition, May 2006, Advocate for Generative Models. [pdf]
  23. Neyman seminar, Berkeley Statistics Department, April 2005, Cluster Sampling and Data-Driven Markov Chain Monte Carlo [pdf]
  24. Math Science Research Institute, Berkeley, Workshop on Visual Recognition, Mar. 2005, Context Sensitive Graph Grammar and Top-down/Bottom-up Inference[pdf]
  25. Math Science Research Institute, Berkeley, Workshop on Low-Middle level Vision, Feb. 2005, From Primal Sketch to 2 1/2 D Sketch [pdf]
  26. Math Science Research Institute, Berkeley, Workshop on Introduction to Vision Jan. 2005, Seeing as Statistical Inference [pdf]
  27. IPAM workshop on Multiscale Geometric Analysis, 2004 From Scaling Laws of Natural Images to Regimes of Image Models [pdf]
  28. GRC on Sensory Coding and the Natural Environments, 2004
  29. Technical Univ. of Denmark, 2003 [pdf]
  30. Int'l Workshop on High-Level Knowledge in 3D Modeling and Motion Analysis 2003 [pdf]
  31. Inti'l Workshop on Object Recognition 2003 "Visual Inference by Markov Chain Monte Carlo Methods" [pdf]
  32. University of South California, 2003
  33. A talk to the Psychology Dept. at UCLA, "A Math Theory for Texture, Texton, Primal Sketch and Gestalt Fields" [pdf]
  34. Los Alamos National Lab, 2002 [Talk1.pdf], [Talk2.pdf], [Talk3.pdf]
  35. Robotics institute, Carnegie Mellon University, 2002
  36. 1st Cape Cod workshop on Monte Carlo Methods, 2002
  37. 2nd Int'l workshop on Texture, 2002
  38. Interface meeting 2002
  39. Kodak research lab., 2001.
  40. Microsoft Research Beijing, 2001.
  41. Univ. of California, Los Angeles, 2001.
  42. 1st Bayes Vision Workshop, San. Francisco, 2001
  43. The Abdus Salum International Centre for Theoretical Physics, Italy, (Teaching Short Courses), 2000.
  44. Institute for Mathematics and its Applications, 2000.
  45. Microsoft Research, Beijing, 2000.
  46. Pattern Theory Seminar, Brown University, 2000.
  47. AI seminar, Carnegie Mellon University, 2000.
  48. Workshop on Generic Object Recognition, Corfu, Greece, 1999.
  49. School of Mathematics, Georgia Institute of Technology, 1999.
  50. Brown University, 1999.
  51. University of Chicago, 1999.
  52. Centre Int'l De Recontres Math, Marseille, FRANCE. 1998.
  53. Institute of Henri Poincare, Paris, France. 1998.
  54. Inria at Antipolis, FRANCE. 1998.
© S.-C. Zhu
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