Scholar
Stephan Garbin
Google Scholar ID: fNteVjwAAAAJ
Google
Citations & Impact
Citations
2,197
H-index
12
i10-index
14
Publications
20
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'FastNeRF: High-Fidelity Neural Rendering at 200FPS' presented at ICCV 2021.
- Paper 'High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images' presented and published at ECCV 2020.
- Paper 'CONFIG: Controllable Neural Face Image Generation' published at ECCV 2020.
- Paper 'Interpretable Transformations with Encoder-Decoder Networks' published at ICCV 2017.
- Paper 'Harmonic Networks: Deep Translation and Rotation Equivariance' published at CVPR 2017.
Background
- Senior researcher at Microsoft, working on the technology that powers the next generation of digital content in virtual and augmented reality. Research interests include machine learning, computer vision, and graphics. Proficient in Python, C, C++, and CUDA.
Miscellany
- Passionate about expressing ideas in code, particularly enjoys optimizing code for maximum efficiency. Worked on advanced image denoising algorithms at the Moving Picture Company, London.
