Zheng Shi

About

I am currently a Research Scientist in Meta Reality Lab Research. I received my PhD in the computer science program at Princeton University in 2024, advised by Prof. Felix Heide in the Princeton Computational Imaging Lab. I received my SC.B. in Applied Mathematics from Brown University.

My research interests are in machine learning for computational photography and computational imaging. Most of my recent work focuses on developing task-specific computational imaging systems, designing specialized optics to capture information beyond the range of conventional RGB sensors, without increasing the camera form factor or relying on AI generated content.

[CV]  /  [Email]  /  [Google Scholar]  /  [LinkedIn]

Zheng Shi

Patents

 
Zheng Shi, Grace Elizabeth Kuo, Yujia Chen, Daniel Andersen, Chao Li, Richard Andrew Newcombe, Michael Goesele
US20240144431A1

Publications

 
Zheng Shi*, Ilya Chugunov*, Mario Bijelic, Geoffroi Côté, Jiwoon Yeom, Qiang Fu, Hadi Amata, Wolfgang Heidrich, Felix Heide
SIGGRAPH 2024

[Main]  /  [Supp]

 
Zheng Shi*, Xiong Dun*, Haoyu Wei, Shiyu Dong, Zhanshan Wang, Xinbin Cheng, Felix Heide, Yifan (Evan) Peng
SIGGRAPH Asia 2024

[Main]  /  [Supp]

 
Cindy Pan, Noah Walsh, Yuxuan Zhang, Zheng Shi, Felix Heide
Optics Express (2024), Spotlight on Optics

[Main]  /  [Supp]

 
Zheng Shi, Yuval Bahat, Seung-Hwan Baek, Qiang Fu, Hadi Amata, Xiao Li, Praneeth Chakravarthula, Wolfgang Heidrich, Felix Heide
SIGGRAPH 2022, poster at ICCP 2022

[Main]  /  [Supp]

 
Seung-Hwan Baek, Noah Walsh, Ilya Chugunov, Zheng Shi, Felix Heide
ACM Transactions on Graphics (presented at SIGGRAPH 2022)

[Main]  /  [Supp]

 
Clara Callenberg, Zheng Shi, Felix Heide, Matthias B. Hullin
SIGGRAPH 2021

[Main]

 
Zheng Shi*, Ethan Tseng*, Mario Bijelic*, Werner Ritter, Felix Heide
CVPR 2021

[Main]  /  [Supp]

Academic Honors

Rohn Truell Prize, 2018 Recipient

Service

Reviewer for Springer Virtual Reality, Optics Express, SID, TCI, TPAMI, TVCG, IEEE VR, Eurographics, Siggraph, Siggraph Asia, ACCV,AAAI, ICCV, ECCV and CVPR.

Teaching

Princeton COS 426: Computer Graphics, Graduate Assistant Instructor, Spring 2021
Princeton SML201: Introduction to Data Science, Graduate Assistant Instructor, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Fall 2022 (head TA), Spring 2023 (head TA), Fall 2023 (head TA), Spring 2024 (head TA).
Brown University Academic Tutoring Program, Mathematics Tutor, 2016

Outreach

Día de la Ciencia, 20K Inspirational Stories Contributor, Summer 2020

Website design from Jon Barron.