Zhipeng Cai

Senior AI Research Scientist at Meta

San Jose, California, United States
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Summary

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Rockstar
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Top School
Zhipeng Cai is a Senior AI Research Scientist in San Jose with a decade of experience tackling foundational problems in computer vision and machine learning, including robust perception, optimization, continual learning, and generative models. He has authored 16+ papers at top venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, IJCV) with multiple oral/spotlight/highlight presentations and a Best Paper selection at ECCV18 for work on the complexity of robust fitting. At Intel Labs he led research and mentored researchers to build and open-source pioneering foundation models—Metric3D for zero-shot monocular metric depth (850+ GitHub stars and CVPR 2023 challenge champion) and GIM for zero-shot image matching (featured by Intel, 280+ stars). Now at Meta, he continues to bridge rigorous theory and practical, productizable systems, with several projects progressing toward commercialization and multiple US patent filings. His profile blends deep theoretical insight with a proven track record of impactful open-source tools and competitive benchmarks.
code10 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at University of Adelaide
bookMaster's degree, computer science, Master's degree, computer science at 厦门大学
languagesChinese, English
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Github Skills (12)

depth10
3d-reconstruction9
python6
pipeline6
intrinsics5
opencv5
structure-from-motion5
high-speed2
pytorch-lightning2
lightning2
cuda2
pytorch2

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:385 pushes, 4 branches in 8 years 5 months
Contributions:50 commits, 47 pushes, 1 branch in 2 months
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