David J. Fleet
David Fleet is professor of computer science at the University
of Toronto. He received the PhD in Computer Science from the
University of Toronto in 1991. From 1991 to 2000 he was on faculty
at Queen's University, Canada, in the Department of Computing and
Information Science, with cross-appointments in Psychology and
Electrical Engineering. In 1999 he joined the Palo Alto Research
Center (PARC) where he managed the Digital Video Analysis Group and
the Perceptual Document Analysis Group. He returned to the University
of Toronto in October 2003.
In 1996 Dr. Fleet was awarded an Alfred P. Sloan Research Fellowship
for his research on biological vision. His 1999 paper with Michael
Black on probabilistic detection and tracking of motion boundaries
received Honorable Mention for the Marr Prize at the IEEE International
Conference on Computer Vision. His 2001 paper with Allan Jepson and
Thomas El-Maraghi on robust appearance models for visual tracking
was awarded runner-up for the best paper at the IEEE Conference on
Computer Vision and Pattern Recognition. In 2003, his paper with
Eric Saund, James Mahoney and Dan Larner won the best paper award at
ACM UIST '03. He was Associate Editor of IEEE Transactions on
Pattern Analysis and Machine Intelligence (2000-2004), Program
Co-Chair for the IEEE Conference on Computer Vision and Pattern Recognition
in 2003, and Associate Editor-In-Chief for IEEE Transactions
on Pattern Analysis and Machine Intelligence (2005-2008). He is
Fellow of the Canadian Institute of Advanced Research.
His research interests include computer vision, image processing,
visual perception, and visual neuroscience. He has published research
articles and one book on various topics including the estimation of
optical flow and stereoscopic disparity, probabilistic methods in motion
analysis, 3D people tracking, modeling appearance in image sequences,
non-Fourier motion and stereo perception, and the neural basis of
stereo vision.