Zelin Zhao

Research Scientist

USA, Australia
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Summary

🤩
Rockstar
Zelin Zhao is a Ph.D. candidate in Machine Learning at Georgia Tech with seven years of research and engineering experience building geometry-aware, physics-informed, and world-model-based AI systems that bridge perception, reasoning, and generation. He has multiple first-author papers at ICLR, CVPR, ECCV, NeurIPS, and AAAI—one of which was a CVPR 2024 Best Paper Award Candidate—and has conducted research at Caltech Anima Lab, MIT CSAIL, and SJTU ThinkLab under renowned advisors. Zelin blends academic rigor with product-focused internships, including roles at ByteDance and currently Waymo, where he applies generative and vision models to real-world problems. Based in Menlo Park, he combines deep technical expertise in computer vision and generative modeling with a knack for translating theory into scalable prototypes for AI4Science. An interesting detail: his trajectory includes a visiting stint at MIT and sustained cross-institutional collaborations that accelerate moving ideas from lab to industry.
code8 years of coding experience
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Github Skills (154)

python10
deep-learning10
instance-segmentation10
gpu10
vision-transformer10
faster-rcnn10
efficientnet10
openmmlab10
optimizer10
video-understanding10
mask-rcnn10
scale10
resnet10
neural-network10
retinanet10

Programming languages (9)

C#TypeScriptC++ShellCLuaJupyter NotebookPython

Github contributions (5)

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sjtuytc/betapose

Dec 2018 - May 2023

Betapose for 6D pose estimation
Contributions:2 PRs, 8 pushes, 1 branch in 4 years 5 months
pose-estimation6dof-poseobject-detectionobject-pose
sjtuytc/UnboundedNeRFPytorch

Jul 2022 - Jan 2023

State-of-the-art, simple, fast unbounded / large-scale NeRFs.
Contributions:2 releases, 48 commits, 34 PRs in 6 months
classifiedchinese-translationblock-nerfnerf-wpytorch-lightning
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