UTCS AI Colloquia - Trevor Darrell, Professor, University of California, Berkeley, "Visual Learning for Real-World Interaction" ACE 2.402

Contact Name: 
Craig Corcoran
ACE 2.402
Feb 20, 2013 11:00am - 12:30pm

Signup Schedule: http://apps.cs.utexas.edu/talkschedules/cgi/list_events.cgi

Talk Audience: UTCS Faculty, Grads, Undergrads, Other Interested Parties

Host:  Ray Mooney and Kristen Grauman

Talk Abstract: Contemporary vision research focuses on recognition challenges and data derived from media available on the Internet. While the large-scale datasets this has enabled have led to great progress, methods tuned to these challenges can surprisingly underperform on many real-world problems, and miss opportunities afforded by situated sensing strategies. In this talk I'll present recent results which leverage environment and domain constraints for large-scale recognition: I'll review new methods for domain adaptation, schemes for learning for complex fine-grained categories from limited training data using pose-normalized descriptors, and techniques for learning calibrated photometric models from unstructured image sets.

Speaker Bio: Prof. Trevor Darrell’s group is co-located at the University of California, Berkeley, and the UCB-affiliated International Computer Science Institute (ICSI), also located in Berkeley, CA. Prof. Darrell is on the faculty of the CS Division of the EECS Department at UCB and is the vision group lead at ICSI.. Darrell’s group develops algorithms to enable multimodal conversation with robots and mobile devices, and methods for object and activity recognition on such platforms. His interests include computer vision, machine learning, computer graphics, and perception-based human computer interfaces. Prof. Darrell was previously on the faculty of the MIT EECS department from 1999-2008, where he directed the Vision Interface Group. He was a member of the research staff at Interval Research Corporation from 1996-1999, and received the S.M., and PhD. degrees from MIT in 1992 and 1996, respectively. He obtained the B.S.E. degree from the University of Pennsylvania in 1988, having started his career in computer vision as an undergraduate researcher in Ruzena Bajcsy's GRASP lab.