Ramin Zabih
  Professor of Computer Science
  Research Scientist, Google

 

  
   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 contribution that have stood the test of time. I served as a Program Chair for CVPR 2007 (the primary North American vision conference), and for the International Workshop on Computer Vision 2008, 2010, 2012, 2014, 2016 and 2018 (a small workshop for senior vision researchers), and  have been elected a General Chair for CVPR 2013, CVPR 2020 and CVPR 2024. I was the Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence from 2009 through 2012, and from 2013 through 2015 I chaired the PAMI-TC, which runs the main vision conferences. In 2018 I was a general chair for the European Conference on Computer Vision (ECCV).

I am the president and founder of the Computer Vision Foundation, a non-profit which now co-sponsors CVPR and ICCV with the IEEE Computer Society, and for which I was awarded the 2016 Everingham Prize.

Since the fall of 2013 I am at CornellNYC Tech with a joint appointment in Weill Cornell Radiology. Since 2016 and 2017 I have also worked at Google as a research scientist.

Students

My current PhD students are Richard Strong Bowen, Charles Herrmann, Gengmo Qi and Michelle Shu  (all in CS). Alumni include Yuri Boykov (postdoc), Akshay Bhat, Alex Fix, 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 PassBrian Rogan and Justin Voskuhl (undergraduates).

Selected Publications (Google scholar link) (local list)

This list of my publications contains electronic versions of almost all papers. The list below includes a few papers in computer vision,  plus some unpublished drafts.

Structured learning of sum-of-submodular higher order energy functions, Alex Fix, Thorsten Joachims, Sam Park and Ramin Zabih. In: International Conference on Computer Vision, 2013

Dynamic Programming and Graph Algorithms in Computer Vision, Pedro Felzenszwalb and Ramin Zabih. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011

Globally Optimal Pixel Labeling Algorithms for Tree Metrics. Pedro Felzenszwalb, Gyula Pap, Eva Tardos, Ramin Zabih. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR'10).

A Comparative Study of Energy Minimization Methods for Markov Random Fields. Rick Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall Tappen, Carsten Rother. Originally in European Conference on Computer Vision, May 2006. Revised version in IEEE Transactions on Pattern Analysis and Machine Intelligence. See the MRF project web page.

MRF's for MRI's: Bayesian Reconstruction of MR Images via Graph Cuts. Ashish Raj, Gurmeet Singh and Ramin Zabih. In: IEEE Conference on Computer .Vision and Pattern Recognition (CVPR'06). Note: this is an updated version; the paper as originally published unintentionally failed to properly acknowledge Vladimir Kolmogorov.

Graph Cut Algorithms for Binocular Stereo with Occlusions. Vladimir Kolmogorov and Ramin Zabih. In: Mathematical Models in Computer Vision: The Handbook. Springer-Verlag, 2005.

Automatic Segmentation of Contrast-Enhanced Image Sequences. Junhwan Kim and Ramin Zabih. In: International Conference on Computer Vision, 2003.

Visual Correspondence using Energy Minimization and Mutual Information. Junhwan Kim, Vladimir Kolmogorov and Ramin Zabih. In: International Conference on Computer Vision, 2003.

What Energy Functions can be Minimized via Graph Cuts? Vladimir Kolmogorov and Ramin Zabih. In:  IEEE Transactions on Pattern Analysis and Machine Intelligence, February 2004. Earlier version appears in European Conference on Computer Vision, May 2002 (best paper award).

Multi-Camera Scene Reconstruction via Graph Cuts. Vladimir Kolmogorov and Ramin Zabih. In: European Conference on Computer Vision, May 2002 (best paper award).

Fast Approximate Energy Minimization via Graph Cuts, Yuri Boykov, Olga Veksler and Ramin Zabih. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(11), November 2001. Preliminary version appears in: International Conference on Computer Vision, September 1999.

Computing Visual Correspondence with Occlusions using Graph Cuts, Vladimir Kolmogorov and Ramin Zabih. In: International Conference on Computer Vision, July 2001. Expanded version also available.

Frame-rate Robust Stereo on a PCI Board, John Woodfill, Brian von Herzen and Ramin Zabih. Unpublished.

Non-parametric Local Transforms for Computing Visual Correspondence, Ramin Zabih and John Woodfill. Third European Conference on Computer Vision, Stockholm, Sweden, May 1994. Revised version also available.

Please note that these papers are copyrighted by the respective organizations, including IEEE and ACM.

Teaching

At CornellTech I primarily teach masters students, my most recent class is CS5112. While I taught in Ithaca, I developed a new course, originally called CS100R, that uses 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.

Personal

I live in Manhattan with my wife and daughter.

Acknowledgements

This web page design is courtesy of Dan Huttenlocher