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Computer Vision

Professor Jason Corso

Published June 19, 2014

Building a computer that can understand images as well as a human

A research team lead by Dr. Jason Corso of the Computer Science and Engineering Department is working to develop mathematical models and computational methods of representing and searching content in images and videos.

The ultimate goal is to build a computer system that can perform as well as a human in image-understanding tasks. The research could benefit many disciplines from health care to military intelligence to advanced emergency-response systems. Dr. Corso has been recognized for his work several times in the 3 short years he's been at UB, including receiving a NSF CAREER award in 2009, a UB Innovator Award in 2010, an Army Research Office Young Investigator Award in 2011, and generating $4.5 million in active funding.

The UB Reporter recently featured a profile on Dr. Corso and his research. Click here to read the UB Reporter article