Summary
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.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at University of Adelaide
Master's degree, computer science, Master's degree, computer science at 厦门大学
Chinese, English