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
June 2024: I will attend CVPR 2024 in Seattle, WA.
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
CVPR 2024
Facial image quality assessment
CVPR 2024
Make Segment Anything model robust to image degradations
IJCV, 2024
Correct perspective disotrtion of portrait images with 3D GAN
arXiv, 2023
Improving face restoration with reference images for better identity
SIGGRAPH 2023
Color filter and algorithm design for single-photon color imaging in low light
MobiCom 2023
A novel location-guided approach that extends the scanning distance of QR codes by 4x or more
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
