Zhixuan Yu is a 3D computer vision research scientist with nine years of experience building photorealistic human models and perception systems, currently advancing telepresence at Meta Reality Labs. He blends deep academic rigor—a PhD from the University of Minnesota and NeurIPS/CVPR publications—with hands-on industry work at Google and Meta on NeRF-based head avatars, multi-view human capture, and few-shot user adaptation. His projects span dense keypoint estimation, large-scale multiview datasets (HUMBI), and practical system engineering from a 107-camera capture rig to auto-calibration for sports and autonomous sensing. Notably, he has led teams for large data collection efforts and translated research into patents and top-tier conference submissions, demonstrating both experimental depth and production-minded impact. Based in Redwood City, he combines expertise in machine learning, multiple-view geometry, and digital human modeling to push realistic VR/AR communication forward.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Minnesota
Bachelor’s Degree Biomedical Engineering, Bachelor’s Degree Biomedical Engineering at Huazhong University of Science and Technology
Master’s Degree Biomedical Engineering, Master’s Degree Biomedical Engineering at Carnegie Mellon University
This repository contains official code (in MATLAB) for exploring and visualizing HUMBI dataset introduced in the paper "HUMBI: A Large Multiview Dataset of Human Body Expressions" (CVPR 2020).
Contributions:5 commits, 2 PRs, 8 pushes in 1 year 9 months
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Zhixuan Yu - 3D Computer Vision Research Scientist at Meta