Electrical Engineering and Computer Science


Computer Vision Seminar

Seminar by René Vidal

René Vidal


Professor
Johns Hopkins University, Vision Dynamics and Learning Lab
 
Monday, November 06, 2017
4:00pm - 5:30pm
1311 EECS

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About the Event

Abstract coming soon.

Biography

Professor Vidal received his B.S. degree in Electrical Engineering (valedictorian) from the Pontificia Universidad Catolica de Chile in 1997 and his M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences from the University of California at Berkeley in 2000 and 2003, respectively. He was a research fellow at the National ICT Australia in 2003 and has been a faculty member in the Department of Biomedical Engineering and the Center for Imaging Science of The Johns Hopkins University since 2004. He has held several visiting faculty positions at Stanford, INRIA/ENS Paris, the Catholic University of Chile, Universite Henri Poincare, and the Australian National University. Dr. Vidal is co-author of the book ``Generalized Principal Component Analysis" (2016), co-editor of the book ``Dynamical Vision" and co-author of over 200 articles in machine learning, computer vision, biomedical image analysis, hybrid systems, robotics and signal processing. Dr. Vidal is or has been Associate Editor of Medical Image Analysis, the IEEE Transactions on Pattern Analysis and Machine Intelligence, the SIAM Journal on Imaging Sciences, Computer Vision and Image Understanding, and the Journal of Mathematical Imaging and Vision, and guest editor of the International Journal on Computer Vision and Signal Processing Magazine. He is or has been program chair for ICCV 2015, CVPR 2014, WMVC 2009 and PSIVT 2007. He was area chair for AAAI 2016, NIPS 2015, MICCAI 2013 and 2014, ICCV 2007, 2011, 2013 and 2017, and CVPR 2005, 2013 and 2017. Dr. Vidal is recipient of numerous awards for his work, including the 2012 J.K. Aggarwal Prize for ``outstanding contributions to generalized principal component analysis (GPCA) and subspace clustering in computer vision and pattern recognition", the 2012 Best Paper Award in Medical Robotics and Computer Assisted Interventions (with Benjamin Bejar and Luca Zappella), the 2011 Best Paper Award Finalist at the Conference on Decision and Control (with Roberto Tron and Bijan Afsari), the 2009 ONR Young Investigator Award, the 2009 Sloan Research Fellowship, the 2005 NFS CAREER Award and the 2004 Best Paper Award Honorable Mention (with Prof. Yi Ma) at the European Conference on Computer Vision. He also received the 2004 Sakrison Memorial Prize for "completing an exceptionally documented piece of research", the 2003 Eli Jury award for "outstanding achievement in the area of Systems, Communications, Control, or Signal Processing", the 2002 Student Continuation Award from NASA Ames, the 1998 Marcos Orrego Puelma Award from the Institute of Engineers of Chile, and the 1997 Award of the School of Engineering of the Pontificia Universidad Catolica de Chile to the best graduating student of the school. He is a fellow of the IEEE (2014), fellow of the IAPR (2016), and a member of the ACM and SIAM.

Additional Information

Contact: Judi Jones

Phone: 763-8557

Email: asap@umich.edu

Sponsor(s): ECE, Markable.AI

Open to: Public