Zirui Wang
Research Scientist
Summary
👤
SeniorZirui Wang is a computer vision researcher and MS student at UIUC with nine years of practical experience building 3D generation and vision-language systems. Currently a research intern in Prof. James Rehg’s lab, he has contributed to GenAI projects and previously developed multimodal Vision-Language-Action models for autonomous driving at XPENG and multi-agent anticipation at CMU’s Robotics Institute. His background spans industry and research internships—from camera algorithm optimization at OmniVision to automated feature extraction for critical mineral maps at NCSA—demonstrating strengths in applied deep learning and geospatial vision. Comfortable moving between research and production settings, Zirui also maintains a personal academic homepage and actively explores intersections of 3D vision and language grounding.
10 years of coding experience
Github Skills (60)
depth-estimation10
radiance10
photogrammetry10
neural-rendering10
slam10
depth10
arxiv10
3d-reconstruction10
3d-graphics9
pytorch9
machine-learning9
simulations9
pose-estimation9
3d9
computer-graphics9
Programming languages (4)
Github contributions (5)
Ryan-Zirui-Wang/flownet3d
May 2019 - Oct 2019
Contributions:119 pushes, 30 branches, 5 tags in 4 months
ActiveVisionLab/nerfmm
Feb 2021 - Aug 2022
(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters
Contributions:15 commits, 20 pushes, 56 comments in 1 year 6 months
parametersarxivdeep-learningcameraneural-radiance-fields
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