Scholar
David Schneider
Google Scholar ID: T0t-GW4AAAAJ
PhD Student, Karlsruhe Institute of Technology
Citations & Impact
Citations
284
H-index
8
i10-index
7
Publications
20
Co-authors
24
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Selected Publications:
- - "Muscles in time: Learning to understand human motion in-depth by simulating muscle activations", NeurIPS 2024
- - "Masked Differential Privacy", ECCVW 2024
Research Experience
- Research Assistant at CV:HCI Lab. As a member of the JuBot project, developing systems to recognize human behavior to improve robotic assistance systems for activities of daily living.
Education
- Completed M.Sc. in Computer Science in 2021 and started a Ph.D. at the Karlsruhe Institute of Technology (KIT). The Ph.D. candidate position is partially funded by the Carl-Zeiss-Stiftung.
Background
- Research Interests: Developing computer vision systems for accurate human activity recognition and motion analysis. Professional field: Computer Vision, Machine Learning. Overview: Leveraging synthetic data from simulations to overcome limitations in real-world data collection such as sparse datasets or privacy concerns. Focused on bridging the 'domain gap' between synthetic and real-world imagery.
