Ramin Zabih received his undergraduate degrees from MIT in Computer Science and Math, and his Ph.D. from Stanford in Computer Science. He joined the Cornell faculty in 1994 and Cornell Tech in 2013.
Ramin is a Professor of Computer Science at Cornell University and Cornell Tech and also holds a faculty appointment in the Radiology department at Weill Cornell Medical College. His research interests are in computer vision and its applications, especially in medicine, and he has received multiple best-paper awards. Technology that he and his students developed has been important both in academia and in industry and has been licensed by AOL, Google and Microsoft. He is also the founder of a non-profit that is speeding the adoption of Open Access in the computer vision community. He is a fellow of the ACM and the IEEE.
Until 2018 he in on leave from Cornell as a Research Scientist at Google.
Teaching
IS5400: Medical Literacy [Fall 2015]
CS5875: Applied Machine Learning [Fall 2014]
CS3110
CS212
CS100R
Professional Activities
- European Conference on Computer Vision (ECCV)
- IEEE International Conference on Computer Vision (ICCV)
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- IEEE Transactions on Pattern Analysis and Machine Intelligence: Editor-in-Chief, 2009-2012
- International Workshop on Computer Vision
Selected Publications
Chen Wang and Ramin Zabih
Relaxation-Based Preprocessing Techniques for Markov Random Field Inference
IEEE Conference on Computer Vision and Pattern Recognition, 2016
Alex Fix, Chen Wang and Ramin Zabih
A primal-dual algorithm for higher-order multilabel Markov Random Fields
IEEE Conference on Computer Vision and Pattern Recognition, 2014
Alex Fix, Artinan Gruber, Endre Boros and Ramin Zabih
A hypergraph-based reduction for higher-order binary Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
Alex Fix, Thorsten Joachims, Sam Park and Ramin Zabih
Structured learning of sum-of-submodular higher energy functions
International Conference on Computer Vision, 2013
Pedro Felzenszwalb and Ramin Zabih
Dynamic Programming and Graph Algorithms in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
Pedro Felzenszwalb, Gyula Pap, Eva Tardos, Ramin Zabih
Globally Optimal Pixel Labeling Algorithms for Tree Metrics
IEEE Conference on Computer Vision and Pattern Recognition (CVPR’10)