“Image Analysis, Artificial Intelligence, and Life”
Thursday, March 6 at 1:00pm
MALA 5050
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Abstract
This talk will feature two families of machine learning, the diffusion network and the transformer. First, the two basic methodologies will be introduced from first principles. Second, two developments from the Virginia Image and Video Analysis laboratory will be described. A diffusion method for multiplicative noise will be outlined. And, a special-purpose transformer for recognizing human activity from videos will be explained. The talk will conclude with discussion regarding research in artificial intelligence.
Biography
Dr. Scott T. Acton is the Lawrence R. Quarles Professor and Chair of Electrical & Computer Engineering at the University of Virginia. He is appointed in Biomedical Engineering. Acton also serves as AI Advisor to the Provost. From 2019 to 2022, he was program director (and then acting deputy division director) in the Computer and Information Sciences and Engineering directorate of the National Science Foundation. He received the M.S. and Ph.D. degrees at the University of Texas at Austin and the B.S. degree from Virginia Tech. Acton is a Fellow of the IEEE “for contributions to biomedical image analysis.” Professor Acton’s laboratory at UVA is called VIVA – Virginia Image and Video Analysis. It specializes in biological/biomedical image analysis problems. Professor Acton has over 450 publications in the image analysis area including the books Biomedical Image Analysis: Tracking and Biomedical Image Analysis: Segmentation. He was the 2018 co-chair of the IEEE International Symposium on Biomedical Imaging. Dr. Acton was Editor-in-Chief of the IEEE Transactions on Image Processing (2014-2018).