Learning in Graphics and Vision

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Saturday, December 18, 2004
Whistler, British Columbia, Canada

Saturday Morning Session: 7:30am – 10:30am

7:30am   –  Introduction and Goals of the Workshop (R. Grzeszczuk, A. Hertzmann)

7:45am   –  Data-Driven Computer Graphics (H. Pfister)

8:10am   –  Example-Based Image Analysis and Synthesis (W. T. Freeman)

8:35am   –  Epitome as an Image Representation (N. Jojic)

9:00am   –  Discussion

9:20am   –  Coffee Break

9:40am   –  Algorithmic and Computational Issues in 3D Modeling from Images (R. Grzeszczuk)

10:05am – Computational Learning for Graphics (D. Terzopoulos)

Saturday Afternoon Session: 4:00pm – 7:00pm

4:00pm   –  Convergence of Graphics and Vision: A Probabilistic View (A. Herzmann)

4:25pm   –  Learning MRFs for Surface Smoothing and Submeshing in 3D Vision and
                     Computer Graphics (S. Thrun, J. Diebel)

4:50pm   –  The Need for Strong Domain Knowledge in Learning Models for Computer Animation
                     (Z. Popović)

5:15pm   –  Coffee Break

5:25pm   –  Learning Probabilistic Models of Human Motion for Inference and Synthesis (M. Black) 5:50pm   –  Looking at People (D. A. Forsyth, D. Ramanan)

6:15pm   –  Panel Discussion (All Speakers)