Vickie Ye

cv | google scholar | github
email: vye [at] berkeley (dot) edu

About Me

I am a third year PhD student in Electrical Engineering and Computer Science at UC Berkeley in the Berkeley AI Research Lab. I am fortunate to be advised by Angjoo Kanazawa and Ben Recht, and supported by the NSF Graduate Research Fellowship. I spent the summer of 2020 at Skydio working on long-range 3D terrain mapping from aerial drone videos.

My current research interests lie at the intersection between computer vision, computer graphics, and machine learning. Specifically, I'm interested understanding the world in 3D, moving beyond our current grasp in 2D or 2.5D, to facilitate reconstruction and understanding from diverse viewpoints. Previously, I worked on topics in optimal control and learning theory.

I received a B.S. in Computer Science and Physics (2017), and an M.Eng in Electrical Engineering and Computer Science (2018) at MIT, where I was fortunate to work with Bill Freeman and Katie Bouman in computational photography. I spent other summers learning how to build systems and models at Scale AI and the D.E. Shaw Group.


PixelNeRF: Neural Radiance Fields from One or Few Images

A Yu, V Ye, M Tancik, A Kanazawa.
(website) (paper) (video)

Robust Guarantees for Perception-based Control.

S Dean, N Matni, B Recht, V Ye. (α - β).
Conference on Learning for Dynamics and Control (L4DC) 2020.
(paper) (code)

Inferring Light Fields from Shadows.

M Baradad, V Ye, A Yedidia, GW Wornell, WT Freeman, A Torralba.
Conference on Computer Vision and Pattern Recognition (CVPR) 2018.

Turning Corners into Cameras: Principles and Methods.

KL Bouman, V Ye, A Yedidia, A Torralba, GW Wornell, WT Freeman.
International Conference on Computer Vision (ICCV) 2017, Spotlight Presentation.
(paper) (code)