E-BEARS: Electrical & Computer - Baylor Engineering & Research Seminars

Dr. Scott T. Acton
Lawrance R. Quarles Professor and Chair, Electrical and Computer Engineering
Professor, Biomedical Engineering
University of Virginia

Presents

Artificial Intelligence in Image and Video Analysis

Date: Friday, March 1, 2024

Time: 3:30 PM – 4:30 PM

Location: Rogers 109

Speaker: ScottActon

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 and a special-purpose transformer for recognizing human activity. The talk will conclude with recommendations regarding research in artificial intelligence.

Short Bio:

Scott T. Acton is the Lawrence R. Quarles Professor and Chair of Electrical and Computer Engineering at the University of Virginia and holds an appointment in the Department of Biomedical Engineering. Over the past three years, he served as Program Director and then acting Deputy Division Director in the Computer and Information Sciences and Engineering directorate of the National Science Foundation. He earned his M.S. and Ph.D. degrees at the University of Texas at Austin and his B.S. degree from Virginia Tech. Professor Acton is a Fellow of the IEEE “for contributions to biomedical image analysis.” His laboratory at UVA, known as VIVA - Virginia Image and Video Analysis, specializes in biological and biomedical image analysis. Professor Acton has authored over 400 publications in the image analysis field, 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 and served as Editor-in-Chief of the IEEE Transactions on Image Processing from 2014 to 2018.