Yves D. Jean
Associate Professor of Computer Science
City University of New York (CUNY) Graduate Center
Computer Science Department
and
Lehman College (CUNY)
Math and Computer Science Department
137G Gillet Hall (office)
233A Gillet Hall (research laboratory)
250 Bedford Park Boulevard West
Bronx, New York 10468
email: firstname.lastname at lehman.cuny.edu
phone: 718-960-5624
fax: 718-960 8969
Yves Jean is an Associate Professor in the Math and Computer Science department at Lehman College and the City University of New York (CUNY) Graduate Center.  Dr. Jean’s research interests are in the areas of Computer Vision, Computer Graphics and Computational Software. His primary work is exploring image recognition techniques that work in real world scenarios. For example, assuming a room is illuminated with digital projectors and observed by a few video cameras, what can we infer about unknown objects in the room? The Scene-space Signal Processing project represents his work in this area.
 
Dr. Jean received a BS in Electrical Engineering in 1988 from Columbia University. He received a Creativity in Research Fellowship from the NSF and attended the Georgia Institute of Technology’s College of Computing. Dr. Jean received his MS and PhD in 1996 from the Graphics, Visualization, and Usability Group at Georgia Tech.
 
in 1996 Dr. Jean joined Bell Laboratories in Murray Hill, NJ, and worked in the Multimedia Communications Research Laboratory. One project he particularly enjoyed was LucentVision, a real-time player and ball tracking, performance analysis, and visualization system for live sports broadcasts. He later joined Avaya Labs where he worked on new Communication Application Systems. Dr. Jean became a professor at Lehman College in 2004 where he has built the Computer Vision and Computational Software laboratory.
Recent Talks:
10/17/2008: ECCV 08, Workshop on Omnidirectional Vision, Camera Networks, and Non-classical Cameras, “Orthographic Projection for Optical Signal Processing”
10/06/2008: Stevens Institute of Technology, “Optical Filtering Directly in the Scene“
07/24/2008: CAARMS, Georgia Tech, “Scene-space Signal Processing”
04/23/2008: Princeton University Dept. Electrical Engineering, “Optical Computation with             Incoherent Sources”
05/05/2008: Yale University, Dept. of Computer Science, “Scene-space Optical Filtering”
06/22/2007: IEEE CVPR: Beyond Multi-view Geometry, “Scene-space Feature Detectors”