Walter Scheirer, Associate Professor of Computer Science and Engineering at the University of Notre Dame, presents his research project, "Those Who See, Think They Know Beyond Mistake: Visual Media and Trust," to NDIAS Fellows and invited guests.
If you would like to attend this event, please contact Carolyn Sherman (email@example.com).
Scheirer's work includes examination of open set recognition, extreme value theory models for visual recognition, biologically-inspired learning algorithms, and stylometry. His most recent research focuses on the problem of recognition, including the representations and algorithms supporting solutions to it, with particular emphasis on features and learning-based methods that apply to both vision and language. This research approach rejects the persistent compartmentalization of recognition tasks and has enabled Professor Scheirer to pursue unconventional approaches that can be applied to a broad set of areas including computer vision, machine learning, human biometrics, and the digital humanities.
Professor Scheirer is author of Extreme Value Theory-Based Methods for Visual Recognition (2017), co-author of Quantitative Intertextuality (with C. Forstall, 2019), co-editor of the conference proceedings of the Society of Photo-Optical Instrumentation Engineers, and more than 30 journal articles and book chapters. He currently serves as Associate Editor for Pattern Recognition and as an Editorial Board Member for Scientific Reports. Additionally, he is the holder of four U.S. patents.
His research has been funded by numerous foundations and government agencies, including the National Science Foundation (NSF), the U.S. Agency for International Development (USAID), the Department of the Army, the FBI Biometric Center of Excellence, the Intelligence Advanced Research Projects Activity (IARPA) Office of Smart Collection, the Office of Naval Research, and the Department of Homeland Security.