Raymond Yeh - Invariance and Equivariance in Computer Vision
Invariance and Equivariance in Computer Vision
This event will also be streamed on Zoom, register here for details.
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Research at TTIC Seminar Series
TTIC is hosting a weekly seminar series presenting the research currently underway at the Institute. Every week a different TTIC faculty member will present their research. The lectures are intended both for students seeking research topics and advisors, and for the general TTIC and University of Chicago communities interested in hearing what their colleagues are up to.
Speakers
Raymond Yeh
Raymond Yeh received his PhD in 2021 from the University of Illinois at Urbana-Champaign (UIUC) advised by Prof. Alexander Schwing, Prof. Minh Do, and Prof. Mark Hasegawa-Johnson. Previously, he completed his B.S. and M.S. degree in Electrical Engineering from UIUC as well. He has also interned at Google AI and Johns Hopkins University. He is a recipient of the Google PhD Fellowship, the Mavis Future Faculty Fellowship, and the Henry Ford II Scholarship.
Raymond’s research is at the intersection of machine learning and computer vision. Specifically, his research focuses on developing algorithms to learn effective and explainable models ranging across several domains including audio, vision, language, and multi-agent systems.
