Event Location: Newell Simon Hall 1507
Bio: 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.

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.