Scholar
Stefan Andreas Baumann
Google Scholar ID: egzbdnoAAAAJ
PhD Student, LMU Munich
Citations & Impact
Citations
353
H-index
7
i10-index
5
Publications
11
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Publications: Multiple papers accepted to top conferences such as ICCV, CVPR, AAAI, including first-author papers like 'What If: Understanding Motion Through Sparse Interactions' and 'CleanDIFT: Diffusion Features without Noise'.
Research Experience
- ML research intern at Intel Labs (Emergent AI Research, German Ros, Benjamin Ummenhofer), Sony (AI Speech and Sound Group, Stefan Uhlich, Giorgio Fabbro, Thomas Kemp), and ML researcher at a startup (Duc Tam Nguyen).
Education
- Bachelor's in EECS from KIT; Master's in Signal Processing and Machine Learning from KIT; PhD student in the CompVis group at LMU, advised by Björn Ommer (LMU) and Peter Kontschieder (Meta).
Background
- Research interests: Understanding generative models (primarily diffusion) and exerting more control over them. Specialization: Computer vision and generative AI.
Miscellany
- Open to collaborations and supervising Master's theses, primarily at LMU Munich & TU Munich.
