Shengyu Huang
Research Scientist at NVIDIA
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolShengyu Huang is a research scientist at NVIDIA with nine years of experience at the intersection of 3D vision and machine learning, grounded in a Doctor of Science from ETH Zürich. His trajectory spans academic research at ETH Zürich, a student-researcher stint at Google, and industry internships that translated advanced 3D perception research into practical systems. He has a strong geomatics and surveying background from Tongji and ETH, which informs his rigorous approach to spatial problems and data-driven 3D reconstruction. Known for bridging theory and applied ML, he has worked on time-series forecasting, deep learning for vision, and even full-stack prototype development during early industry roles. Based in Zurich, he combines deep academic training with hands-on engineering experience at leading AI organizations.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Surveying and Mapping Engineering, Bachelor's degree, Surveying and Mapping Engineering at Tongji UniversityDoctor of Science, Machine Learning and 3D Vision, Doctor of Science, Machine Learning and 3D Vision at ETH Zürich
Github Skills (86)
attention-mechanism10
depth-estimation10
convolutional-neural-networks10
vpn10
lantern10
router10
point-cloud10
correspondence9
sampling9
linux9
3d-models9
transformer9
nearest-neighbors9
censorship-circumvention9
accelerator9
Programming languages (7)
Github contributions (5)
prs-eth/OverlapPredator
Nov 2020 - Dec 2021
[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
Contributions:31 commits, 2 PRs, 21 pushes in 1 year
3dpoint-cloudregistration3dvisiontransformer
ShengyuH/cluster-by-fast-find-and-search-of-density-peaks
May 2017 - Jul 2019
Contributions:4 commits, 4 pushes, 3 branches in 2 years 2 months
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