TSUHAN CHEN

CORNELL University—ECE

Using Context to Understand Images of People: A Graphical-Model Approach

 

When we see other humans, we can quickly make judgments regarding many aspects, including their demographic descriptions and identity if they are familiar to us. We can answer questions related to the activities of, emotional states of, and relationships between people in an image.  We draw conclusions based not just on what we see, but also from a lifetime of experience of living and interacting with other people.  In this talk, we propose contextual features and graphical models for understanding images of people with the objective of providing computers with access to the same contextual information that humans use.

 

Bio:

Tsuhan Chen has been with the School of Electrical and Computer Engineering, Cornell University, since January 2009, where he is Professor and Director.  From October 1997 to December 2008, he was with the Department of Electrical and Computer Engineering, Carnegie Mellon University, as Professor and Associate Department Head.  From August 1993 to October 1997, he worked at AT&T Bell Laboratories.  He received the M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology, Pasadena, California, in 1990 and 1993, respectively.

 

Tsuhan served as the Editor-in-Chief for IEEE Transactions on Multimedia in 2002-2004.  He received the Benjamin Richard Teare Teaching Award in 2006, and the Eta Kappa Nu Award for Outstanding Faculty Teaching in 2007.  He was elected to the Board of Governors, and a Distinguished Lecturer, of IEEE Signal Processing Society.  He is a Fellow of IEEE.

4:15pm

B17 Upson Hall

Thursday, September 10, 2009

Refreshments at 3:45pm in the Upson 4th Floor Atrium

Computer Science

& Information Science

Colloquium

Fall 2009

www.cs.cornell.edu/events/colloquium

www.cs.cornell.edu/events/colloquium