Research interests

   I am currently at the

   Department of Statistics

   University of California Los Angeles.

   I now belong to the faculty at the
   Department of Electrical Engineering (personal hompage)

   In the Technion - Israel Institute of Technology.

Eitan Sharon

Research interests - computer vision and math

I'm interested in the host of fundamental problems in computer vision leading up to object recognition.

Current research: collaborating with David Mumford on the study of 2D shapes.

Program Committees: ECCV’04, CVPR’04. CVPR’05, ECCV’06, CVPR’06, EMMCVPR’07.

Publications

· E. Sharon, M. Galun, D. Sharon, R. Basri, A. Brandt, Hierarchy and Adaptivity in Segmenting Visual Scenes (pdf), Nature 2006. (June 28th online; August 17th print)

http://www.nature.com/nature/journal/v442/n7104/index.html

· J. Corso, E. Sharon, A. Yuille, Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation, Medical Image Computing and Computer- Assisted Intervention (MICCAI), 2006. Appeared in Springer’s "Lecture Notes in Computer Science" (http://dx.doi.org/10.1007/11866763_97, pdf).

· J. Corso, E. Sharon, Shishir Dube, Suzie El-Saden, Usha Sinha and A. Yuille, Efficient Multilevel Segmentation with Integrated Bayesian Model Classification, IEEE Transactions on Medical Imaging, to appear in 2007.

· L. Gorelick, M. Galun, E. Sharon, R. Basri, A. Brandt, Shape Representation and Classification Using the Poisson Equation (pdf), IEEE Transactions on Pattern Analysis and Machine Intelligence, December 2006.

· E. Sharon and D. Mumford, 2D-Shape Analysis using Conformal Mapping (pdf), International Journal of Computer Vision, Volume 70, Number 1 / October, 2006, pages 55-75;

(special issue on CVPR’04 for papers recommended by the award committee; direct link at - http://www.springerlink.com/content/g253522836rt7644/?p=70a2fcd9035b4b02bb67c88fd51291ca&pi=4)

· E. Borenstein, E. Sharon, S. Ullman, Combining Top-Down and Bottom-Up Segmentation (pdf), Proceedings IEEE workshop on Perceptual Organization in Computer Vision, IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC, June 2004.

· E. Sharon and D. Mumford, 2D-Shape Analysis using Conformal Mapping (pdf), Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC, June 2004.

· L. Gorelick, M. Galun, E. Sharon, R. Basri, A. Brandt, Shape Representation and Classification Using the Poisson Equation (pdf), Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC, June 2004.

· M. Galun, E. Sharon, R. Basri, A. Brandt, Texture Segmentation by Multiscale Aggregation of Filter Responses and Shape Elements (pdf), Proceedings IEEE International Conference on Computer Vision, 716-723, Nice ,France, 2003.

· E. Sharon, A. Brandt, R. Basri, Segmentation and Boundary Detection Using Multiscale Intensity Measurements (ps, pdf), Proceedings IEEE Conference on Computer Vision and Pattern Recognition, I:469-476, Kauai, Hawaii, 2001. (patent pending)

· E. Sharon, A. Brandt, R. Basri, Fast Multiscale Image Segmentation (ps, pdf) Proceedings IEEE Conference on Computer Vision and Pattern Recognition, I:70-77, South Carolina, 2000. (patent pending)

· E. Sharon, A. Brandt, R. Basri, Completion Energies and Scale (ps, pdf), IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(10):1117-1131, October 2000.

· E. Sharon, A. Brandt, R. Basri, Completion Energies and Scale (ps), Proceedings IEEE Conference on Computer Vision and Pattern Recognition, 884-890, Puerto Rico, 1997.

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Weizmann Institute – ‘Interface’

Fall 2003 - Eitan Sharon, Meirav Galun, Ronen Basri and Achi Brandt: “Teaching computers to see”

A BBC Radio Interview

Feb 16th, 2004 – Eitan Sharon: “Teaching computers to see”

Demo Presentation of my Research

(with Meirav Galun, Ronen Basri and Achi Brandt)

Send mail to Eitan Sharon

Weizmann Links:

Faculty of Math and CS
Computer vision homepage

Brain research at the Weizmann