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**BEING UPDATED!**
Irfan Essa is an Associate Professor in the College of
Computing, and Adjunct Professor in the School of Electrical and Computer
Engineering, Georgia Institute of Technology, Atlanta, Georgia. At Georgia
Tech, he is affiliated with the Future Computing Environments effort, the
Graphics, Visualization and Usability (GVU) Center, and the Intelligent
Systems Group in the College of Computing. He has founded the Computational
Perception Laboratory (CPL) at Georgia Tech, that aims to explore and
develop the next generation of intelligent machines, interfaces, and
environments that can perceive, recognize, anticipate, and interact with
humans. He is
also a founding member of the Aware Home Research Initiative at Georgia
Tech. He also helped establish a new undergraduate degree in Computational
Media and is also affiliated with a new PhD degree in Human Centric
Computing. Irfan earned his SM (1990) and PhD (1994) from the MIT Media
Laboratory, where he also worked as a Research Scholar (1994-1996) before
joining the GT faculty. He has received the prestigious awards of NSF CAREER
Investigator, Imlay Fellowship, Edenfield Fellowship, and the College of
Computing Research, Teaching, and Dean's Awards. His research is funded by
NSF, DARPA, and various industrial research labs.
Jianbo Shi is an assistant professor of Computer and
Information Science at University of Pennsylvania. He studied Computer
Science and Mathematics as an undergraduate at Cornell University where he
received his B.A. in 1994. He received his Ph.D. degree in Computer Science
from University of California at Berkeley in 1998. From 1999 to 2002, he
was a research faculty at Robotics Institute at Carnegie Mellon University.
His current research interests focus on image segmentation and recognition,
human activity recognition in video. His other research interests include
image/video retrieval, and vision based desktop computing.
Dr. Christopher R. Wren is a Research Scientist at the
fundamental research arm of the Mitsubishi Electric Research Laboratories in
Cambridge, MA, USA. His work in perception is targeted at improving
human-system interactions. Prior to joining MERL, he was a member of the
Vision and Modeling Group at the MIT Media Laboratory. As part of his
dissertation work there, he developed a system for combining physical models
with visual evidence in real time to recover subtle models of human motion.
In the past, Chris has had the great fortune to work with an array of
fantastic individuals on a diverse collection of projects in computer
graphics, human/computer interface, interactive art, haptic interface,
physically realistic animation, immersive games, presence and instant
messaging, and computer-mediated teleconferencing.
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