
Ramin Zabih
Professor of Computer Science
Faculty Director, arXiv
Research Scientist, Google (on leave from Cornell)

607 255 8413
607 255 4428 (fax)
Research
My research interests lie
in computer vision and its applications, especially in
medical imaging. I have worked on a variety of problems
in early vision, including motion and stereo; many of
these problems can be solved very accurately using
algorithms based on graph cuts, which was given the Helmholtz
Prize at ICCV 2011/13 and the Koenderink
prize at ECCV 2012 for contributions that have
stood the test of time. I am a fellow of the ACM and the IEEE.
I've worked for over a decade to bring open access to the computer vision community.
I am the president and
founder of the Computer Vision Foundation, a non-profit which now
co-sponsors CVPR, ICCV and WACV with the IEEE Computer
Society, and for which I was awarded the 2016
Everingham Prize.
The main role of CVF is to provide an open access version
of the CVPR, ICCV and WACV papers.
Since the fall of 2013 I
am at Cornell
Tech with a joint appointment in Weill Cornell
Radiology. Since
2016 I have also worked at Google as a research
scientist, where I am currently on leave.
Students
My current PhD students are Richard Strong Bowen and Michelle Shu (in CS). Alumni include Yuri Boykov (postdoc), Akshay Bhat, Alex Fix, Charles Herrmann, Jing Huang, Vera Kettnaker, Junhwan Kim, Vladimir Kolmogorov, Ashish Raj, Gurmeet Singh, Olga Veksler, Chen Wang and Jie Zhu (PhD students) and Brian Cody, Chris Danis, Devin Kennedy, Justin Miller, Greg Pass Brian Rogan and Justin Voskuhl (undergraduates).
Selected Publications
The best source is my Google scholar link. A few of my papers in computer vision, plus some unpublished drafts, are here.
Teaching
At CornellTech I primarily teach masters students, my most recent class is CS5112. While I taught in Ithaca, I developed a new course, called CS100R, that used camera-controlled robots to introduce basic concepts in computer science. I typically taught graduate computer vision , or advanced undergraduate programming. In the more distant past I also taught CS212, an honors-level freshman introduction to CS.
Professional Activities
| General co-chair, IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2024 |
| General co-chair, IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2020 |
| General co-chair, European Conference on Computer Vision (ECCV), 2018 |
| General co-chair, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013 |
|
Editor-in-Chief, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009-2012 |
|
Program co-chair, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007 |
|
Program co-chair, International Workshop on Computer Vision, 2008, 2010, 2012, 2014, 2016, 2018 |
|
Area chair: IEEE
Conference on Computer Vision and Pattern
Recognition (CVPR), 2005, 2006, 2008, 2011; IEEE
International Conference on Computer Vision
(ICCV), 2005, 2009, 2011, 2013; European
Conference on Computer Vision (ECCV), 2008,
2012, 2016. |
External
I've consulted for several companies, primarily Microsoft. I've been an external committee member for some talented students, including David Tolliver and Dhruv Batra at CMU, Hao Jiang at Simon Fraser, Pushmeet Kohli and Pawan Kumar at Oxford Brookes, and Gabriel Tavares at Rutgers.
Acknowledgements
This web page design is courtesy of Dan Huttenlocher