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Schedule

Emphasis Week on Learning and Inference in Low and Mid Level Vision February 21, 2005 - February 25, 2005

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Feb 21, 2005
Monday
02:30 PM - 03:30 PM
  Image Statistics, Efficent Coding and Visual Perception.
Eero Simoncelli
03:00 PM - 04:00 PM
  Is There Simple Statistical Model of Generic Natural Images?
David Mumford (Brown University)
Feb 22, 2005
Tuesday
11:00 AM - 12:00 PM
  Applied Natural Image Statistics
Andrew Fitzgibbon
02:00 PM - 03:00 PM
  Data-driven Vision: Learning by Lookup
Alexei Efros
03:30 PM - 04:30 PM
  Using Data-based Parameterizations to Efficient Learn Hierarchical Models.
Brendan Frey
Feb 23, 2005
Wednesday
12:00 AM - 12:00 AM
  From Primal Sketch to 2 1/2 Sketch -- Shape from Shading, Stereo, and Motion.
Song Chun Zhu (University of California, Los Angeles)
09:30 AM - 10:30 AM
  Image Satistics and Low Level Vision.
Michael Black
09:30 AM - 10:30 AM
  Learning to Separate Shading From Paint .
William Freeman
02:00 PM - 03:00 PM
  Fusion of Colour, Contrast and Stereo for Bi-layer Segmentation.
Andrew Blake
03:30 PM - 04:30 PM
  Estimating Stereo and Optic Flow Using Loopy Belief Propagation.
Michael Isard
Feb 24, 2005
Thursday
12:00 AM - 12:00 PM
  Linear Programming, Belief Propagation and Low-level Vision.
Yair Weiss (Hebrew University)
09:30 AM - 10:30 AM
  Speeding up Belief Propagation for Low and Mid Level Vision
Dan Huttenlocher
01:30 PM - 02:30 PM
  Beyond BP? Approximate Inference and the DLR Equations.
Alan Yuille
04:30 PM - 05:30 PM
  Graph Cut Energy Minimization Algorithms for Computer Vision.
Ramin Zabih
Feb 25, 2005
Friday
09:30 AM - 10:30 AM
  Microarray Imaging with MRFs and MCMC .
Julian Besag, Raphael Gottardo
11:00 AM - 12:00 PM
  Scaling Properties of Higher-order Image Statistics: Implications for Edge/Object Detection.
David Donoho (Stanford University)