Talks at UW (CSE 577) will be Tuesdays and Fridays 1:30-2:50 in AC 305, talks will be video-taped and posted online.
Talks at Microsoft (CSE 590CV) will be Monday (with two exceptions) 10:30-noon in building 113/1021.  Van leaves promptly at 9:45am from the parking lot at the north end of the HUB.

Date Where Speaker

Topic
Mar 30 UW lecture (Seitz) Intro
Mar 31 (Wed) MSR Yair Weiss (Hebrew U.) Learning to Perceive from Image Statistics--A Computational Challenge
Apr 2 UW Yair Weiss (Hebrew U.) Approximate inference in graphical models using loopy belief propagation
Apr 6 UW lecture (Seitz) Belief propagation applications: Freeman & Pasztor, Tappen & Freeman, Slides
Apr 9 UW Nebojsa Jojic (Microsoft) Tutorial:  Variational Inference and Expectation Maximization
Apr 12 UW Nebojsa Jojic (Microsoft) Tutorial (continued)
Apr 13 UW Nebojsa Jojic (Microsoft) Capturing Image Structure with Probabilistic Index Maps
Apr 16 UW Ramin Zabih (Cornell) Tutorial:  A Selective Overview of Graph Cut Energy Minimization Algorithms
Apr 19 MSR Ramin Zabih (Cornell) Some New Directions in Energy Minimization with Graph Cuts
Apr 20 UW lecture (Seitz) Graph cuts applications:  Snow et al., Birchfield & Tomasi, Photomontage, Slides
Apr 23 UW everyone Project1 Presentations
Apr 26 MSR Guillermo Sapiro (Minnesota) Working with implicit surfaces and point clouds
Apr 27 UW Guillermo Sapiro (Minnesota) Tutorial: Level Sets and Partial Differential Equations in Image Sciences
Apr 30 UW Rick Szeliski (Microsoft) Tutorial:  Non-Linear Least Squares and Sparse Matrix Techniques: Fundamentals and Applications I
May 3 UW Rick Szeliski (Microsoft) Tutorial:  Non-Linear Least Squares and Sparse Matrix Techniques: Fundamentals and Applications II
May 4 UW Paul Viola (Microsoft) Tutorial: Supervised Learning for Computer Vision Applications
May 7 UW lecture (Seitz) Level Sets Application
May 10 UW Paul Viola (Microsoft) Boosted Classifiers for Fast Parameter Estimation
May 17 MSR Sam Roweis (Toronto) Neighbourhood Component Analysis
May 18 UW Sam Roweis (Toronto) Tutorial:  Dimensionality Reduction
May 18 UW everyone Project2 Presentations
May 21 UW Dan Huttenlocher (Cornell) Tutorial:  Distance Transforms for Image Matching
May 24 MSR Dan Huttenlocher (Cornell) Fast Belief Propagation for Early Vision
May 27(Thurs) MSR Frank Dellaert (GAtech) A Sample of Monte Carlo Methods in Robotics and Vision
May 28 UW Frank Dellaert (GAtech) Random Sampling and Monte Carlo Markov Chains
June 1 UW lecture (Seitz) Structure from Motion with Unknown Correspondence(pdf)
June 4 UW everyone Project3 Presentation