Baiang Li
Scholar

Baiang Li

Google Scholar ID: vXIr3-0AAAAJ
Princeton University
computer visioncomputational photography
Citations & Impact
All-time
Citations
409
 
H-index
5
 
i10-index
4
 
Publications
10
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top-tier conferences and journals such as NeurIPS, ICCP (oral presentation), Siggraph, TMM, etc.
Research Experience
  • Worked as a research assistant at the Computational Imaging Lab at Princeton University; interned at OpenMMLab@Shanghai AI Lab.
Education
  • Started as a PhD student at Princeton University in 2025, under the supervision of Felix Heide.
Background
  • PhD student at Princeton University, advised by Felix Heide. His research mainly focuses on the intersection of computational photography and AI, co-designing camera ISP and deep learning models to create more powerful and efficient imaging systems.
Miscellany
  • Interested in low-level vision and imaging, co-founded a platform for beginners called lowlevelcv.com, which summarizes the latest research and techniques and holds events worldwide.