Marc Pollefeys's Email

Marc Pollefeys is a full professor in the Institute for Computational Science of the Dept. of Computer Science of ETH Zürich since 2007 where he leads the Computer Vision and Geometry lab. He remains associated with the Dept. of Computer Science of the University of North Carolina at Chapel Hill where he started as an assistant professor in 2002 and became an associate professor in 2005. Before he was a postdoctoral researcher at the Katholieke Universiteit Leuven in Belgium, where he also received his M.S. and Ph.D. degrees in 1994 and 1999, respectively. His main area of research is computer vision. One of his main research goals is to develop flexible approaches to capture visual representations of real world objects, scenes and events. Dr. Pollefeys has received several prizes for his research, including a Marr prize, an NSF CAREER award, a Packard Fellowship and an ERC starting grant. He is the author or co-author of more than 160 peer-reviewed or invited papers. He was co-chair of the Third Symposium on 3D Data Processing, Visualization and Transmission and has organized workshops and courses at major vision and graphics conferences and has served on the program committees of many conferences. He is a regular reviewer for most of the major vision, graphics and photogrammetry journals. Prof. Pollefeys is on the Editorial Board of the IEEE Transactions on Pattern Analysis and Machine Intelligence, the International Journal of Computer Vision and Foundations and Trends in Computer Graphics and Computer Vision. He is a fellow of the IEEE.

Professor @ From August 2007 to Present (8 Jahre 5 Monate) Professor @ From Juli 2002 to 2009 (7 Jahre) visiting professor @ From 2007 to 2007 (weniger als ein Jahr) Researcher @ From September 1994 to August 2002 (8 Jahre)

MS, EE @ Katholieke Universiteit Leuven From 1989 to 1999 Sint-Jan Berchmanscollege From 1983 to 1989 Sint-Lutgardisschool Elsene From 1974 to 1983 Marc Pollefeys is skilled in: 3D reconstruction, GPGPU, Computer Vision, Artificial Intelligence, Research, Scientific Computing, Machine Learning, LaTeX, Algorithms, Pattern Recognition, Image Processing, Signal Processing, Computer Science, Matlab, Robotics, Mobile Robotics