PROFILE:
Eugene Bart
Eugene's work focuses on high-level understanding and interpretation of images and has led to novel theories of human vision. He developed a system that can recognize a novel face from just a single photograph across significant variations in viewpoint, and also introduced a method of learning a novel category from a single example.
At PARC, Eugene applies computer vision and machine learning to the task of analyzing images of documents. The general goal is to enable computers to understand and interpret documents in the same ways humans can.
Dr. Evgeniy Bart received his BSc in physics and computer science from Tel Aviv University, and his MSc and PhD in computer science from the Weizmann Institute. He completed post-doctoral work at UMN and later Caltech, and also consulted for human vision scientist teams.
PARC publications
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2012
Invariant object recognition based on extended fragments
Frontiers in Computational Neuroscience
August 2012
Proactive insider threat detection through graph learning and psychological context
IEEE Workshop on Research for Insider Threat (WRIT)
25 May 2012
Parsing tables by probabilistic modeling of perceptual cues
10th IAPR International Workshop on Document Analysis Systems
27 March 2012
2011
Unsupervised organization of image collections: taxonomies and beyond
IEEE Transactions on Pattern Analysis and Machine Intelligence
November 2011
2010
Information extraction by finding repeated structure
International Workshop on Document Analysis Systems
9 June 2010
2009
Speeding up Gibbs sampling by variable grouping
NIPS Workshop on Applications for Topic Models: Text and Beyond
11 December 2009
contact
news releases
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U.S. Department of Defense Chooses PARC to Help Halt Internal Security Threats
15 February 2012
events
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Where Would You Go this Weekend? Time-dependent Prediction of User Activity Using Social Network Data
8 July 2013 | Boston, MA
Parsing Tables by Probabilistic Modeling of Perceptual Cues
27 March 2012 | Gold Coast, Australia
Learning Domain-specific Feature Descriptors for Document Images
27 March 2012 | Gold Coast
