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VASC Seminar: Prof. Jia Deng
Toward Deep Geometric Image Understanding

Prof. Jia Deng
Assistant Professor, University of Michigan

April 24, 2017, 3:00-4:00 p.m., Newell Simon Hall 1507
Abstract

Achieving human-level visual understanding requires extracting rich geometric information from images. In particular, it entails moving beyond 2D bounding boxes to more detailed geometric representations. In this talk I will present recent work in this direction, specifically keypoint localization and single-image depth estimation. For keypoint localization, I will present new neural architectures and representations. For single-image depth estimation, I will show how to use crowdsourcing to improve depth estimation for images in the wild.


Speaker Biography

Jia Deng is an Assistant Professor of Computer Science and Engineering at the University of Michigan. His research focus is on computer vision and machine learning, in particular, achieving human-level visual understanding by integrating perception, cognition, and learning. He received his Ph.D. from Princeton University and his B.Eng. from Tsinghua University, both in computer science. He is a recipient of the PAMI Everingham Prize, the Yahoo ACE Award, a Google Faculty Research Award, the ICCV Marr Prize, and the ECCV Best Paper Award.