Learning Machines Seminar Series

ABSTRACT 

TBD 

BIO

Steven Seitz is a Professor in the Department of Computer Science & Engineering at the University of Washington. He received his B.A. in computer science and mathematics at the University of California, Berkeley in 1991 and his Ph.D. in computer sciences at the University of Wisconsin, Madison in 1997. Following his doctoral work, he spent one year visiting the Vision Technology Group at Microsoft Research and subsequently two years as an Assistant Professor in the Robotics Institute at Carnegie Mellon University. He joined the faculty at the University of Washington in July 2000.

Professor Seitz was twice awarded the David Marr Prize for the best paper at the International Conference of Computer Vision and has received an NSF Career Award, an ONR Young Investigator Award, and an Alfred P. Sloan Fellowship. His work with Noah Snavely and Rick Szeliski forms the basis of Microsoft's Photosynth. He also directs a 3D computer vision team at Google's Seattle Office, which developed the imagery experience in the latest version of Google Maps.

Professor Seitz is interested in problems in computer vision and computer graphics. His current research focuses on capturing the structure, appearance, and behavior of the real world from digital imagery. He enjoys biking, hiking, and staring obsessively at Mount Rainier.