Office: Lieb 215
Phone Number: +1 201 216 5611
E-mail: mordohai_at_cs.stevens.edu

• Song Wang and I will organize the Seventh Workshop on Perceptual Organization in Computer Vision (POCV) that will be held with CVPR 2010 in San Francisco on June 13. The POCV web page is here. The deadline for paper submissions is March 12.
• The manifold learning paper is published in JMLR! "Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting", Journal of Machine Learning Research (JMLR), vol 11, pp. 411-450, 2010.
• I serve as the CS Department Seminar coordinator. See the Computer Science Seminars page for a list of the most recent talks.
• The list of papers presented at the weekly computer vision reading group can be found here.

EDUCATION

• Ph.D. in Electrical Engineering at the University of Southern California (2005).
• Master of Science in Electrical Engineering at the University of Southern California (2000).
• Diploma in Electrical and Computer Engineering at the Aristotle University of Thessaloniki, Greece (1998).

RESEARCH INTERESTS

• Binocular, multiple-view and video-based 3D reconstruction
• Perceptual organization
• 3D shape representation and object recognition
• Machine learning

Ph.D. STUDENTS

• Liefei (Lucy) Xu (co-advised with Quynh Dinh)
• Xiaoyan Hu
• Wei Jiang
• Qiuxia Han

M.S. ADVISING

Office hours: Wednesday, 5-6. You can also email me your signed study plan for approval.

TEACHING

CS 559: Machine Learning: Fundamentals and Applications (Spring 2010)
Class webpage. Note that Burchard 124 has a separate entrance to the left of the main entrance to Burchard.

CS 537: Interactive Computer Graphics (Fall 2009)
Class webpage.

CS 559: Machine Learning: Fundamentals and Applications (Spring 2009)
Class webpage. WORDS OF WISDOM
By Jacob August Riis: "I go and look at a stonecutter hammering away at his rock perhaps a hundred times without as much as a crack showing in it. Yet at the hundred and first blow it will split in two, and I know it was not that blow that did it, but all that had gone before."

FACE MODEL
I spent a few years demonstrating and evaluating 3D face reconstruction and recognition using technology developed by Geometrix, Inc. I have spent even more years working on 3D reconstruction in various settings.



For a 3-D model of my face using these two pictures click on the pictures or here.