Bingxin Ke
Research Intern at NVIDIA
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolBingxin Ke is a doctoral candidate and research intern based in Zurich focusing on machine learning, computer vision, and 3D vision within photogrammetry and remote sensing. With seven years of research experience spanning Wuhan University and ETH Zürich, she combines strong academic grounding (MSc and ongoing PhD at ETH) with applied projects such as asteroid orbit tracking and visualization. Currently interning at NVIDIA while pursuing her PhD at ETH’s Chair of Photogrammetry and Remote Sensing, she bridges cutting-edge research and industry tooling. Known for turning geometric sensing problems into scalable ML solutions, she brings both domain depth in geospatial imaging and hands-on software development experience.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Geomatic Engineering, Bachelor of Engineering - BE, Geomatic Engineering at Wuhan UniversitySummer School, Summer School at Imperial College LondonSecondary School, General Studies, Secondary School, General Studies at Xiamen No.1 High School of FujianDoctor of Philosophy - PhD, Photogrammetry and remote sensing, Doctor of Philosophy - PhD, Photogrammetry and remote sensing at ETH Zürich
Github Skills (24)
depth-estimation10
pytorch10
diffusion-models10
stable-diffusion10
diffusers10
text2image10
audio10
deep-learning10
image-generation10
image-generator10
flux10
satellite-images8
depth7
3d6
3d-reconstruction4
Programming languages (3)
Github contributions (5)
markkua/EulerConfigNotes
Oct 2021 - Apr 2022
Contributions:11 commits, 6 pushes in 5 months
prs-eth/Marigold
Dec 2023 - Dec 2025
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Contributions:33 PRs, 84 pushes, 27 branches in 2 years
depth-estimationimage-generatormonocular-depth-estimationdiffusionzero-shot
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