Biography
I am a Research Scientist at Snap Research. My research interests lie in computer vision and computational imaging. I received my PhD in Computer Sciences at UW-Madison, advised by Professor Mohit Gupta.
My PhD work focuses on solving geometry, motion-related computer vision problems using novel computational cameras. For example, how can we accurately recover minuscule motion of objects? How can we take a clear, sharp image of a extremely dark and moving scene? I develop novel solutions to these problems using light field cameras, structured light and single-photon cameras.
Download my CV.
- Computer Vision
- Computational Photography
- Computational Imaging
PhD in Computer Sciences, 2022
University of Wisconsin-Madison
MS in Computer Sciences, 2016
University of Wisconsin-Madison
BS in Computer Science, 2014
Shanghai Jiao Tong University
News
May 2023: One paper accepted to SIGGRAPH 2023!
April 2023: One paper accepted to MobiCom 2023!
Februrary 2023: One paper accepted to CVPR 2023!
October 2022: One paper accepted to WACV 2023!
June 2022: I will attend CVPR 2022 in New Orleans, LA.
May 2022: I received 2022 Outstanding Graduate-Student Research Award! Thanks for everyone who has collaborated with me or supported my research.
February 2022: I joined Snap Research as a Research Scientist!
December 2021: I passed my PhD oral defense! Thanks everyone for their support!
December 2020: I received 2020 Snap Research Fellowship!
June 2020: Quanta Burst Photography was reported by UW-Madison News and EPFL News.
May 2020: Our paper Quanta Burst Photography was featured in SIGGRAPH Technical Papers highlights.
Projects
SIGGRAPH 2023
Color filter and algorithm design for single-photon color imaging in low light
CVPR 2023
Energy-efficient and eye-safe active 3D sensing that is adapted to the scene and application
WACV 2023
Exploring the capabilities of SPAD sensors for a wide gamut of real-world computer vision tasks including object detection, pose estimation, SLAM, text recognition and so on
CVPR 2022
Structured light 3D imaging enabled at extreme speeds and challenging scenarios using single-photon cameras and digital micro-mirror devices.
ECCV 2020
A novel scene representation that enables fast detection of obstacles in scenarios involving camera or scene motion using single-shot structured light
SIGGRAPH 2020
A computational imaging technique with single-photon cameras enables ultra-low light photography
ECCV 2018 oral presentation, selected for IJCV Special Issue on Best of ECCV
Recover high-precision dense scene flow from light fields
