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.
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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