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UCSD Computer Vision

Nadav Ben-Haim, MS

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Nadav Ben-Haim received his B.S. degree in Computer Science from UC San Diego in 2006 (cum laude). In 2008, he received a M.S. in Computer Science with an emphasis in Vision and Learning from UC San Diego. Currently, he is involved with Orpix, a computer vision technology company that specializes in object recognition and detection.

Orpix has built an image recognition framework that supports various application domains. Orpix partners with companies to produce domain specific solutions, such as Vehicle Make and Model Recognition, and Logo Recognition. Currently, Orpix is seeking to collaborate with companies in Media, Surveillance, Bio-Imaging, and Machine Vision. Additionally, Orpix offers consulting services and prototyping in the areas of machine learning and computer vision.


Ben-Haim N., Babenko B., Belongie S., "Improving Web-based Image Search via Content Based Clustering", SLAM, New York City, 2006. [BibTex][pdf]