I joined the Apple ARKit team after graduation. Previously, I received my Ph.D. degree in Computer Science at UC Berkeley in 2020, advised by Prof. Yi Ma. My dissertation is on “Learning to Detect Geometric Structures from Images for 3D Parsing".
I am interested in 3D vision, computer graphics, and machine learning. My recent research focuses on integrating geometric concepts and data-driven approaches into a unified framework. To this end, I design learning-based methods to extract high-level geometric structures from images, such as lines, wireframes, vanishing points, and symmetries, and use them for scene parsing to obtain high-quality compact CAD-like 3D models and achieve robust localization.
You can download my personal PGP public key here.
PhD in Computer Science, 2020
University of California, Berkeley
BSc in Computer Science and Technology, 2015
”*” indicates equal contribution
I was a teaching assistant of the following courses at UC Berkeley: