Robin Chan
Scholar

Robin Chan

Google Scholar ID: MRCF9PwAAAAJ
Technische Universität Berlin
Computer VisionDeep Learning
Citations & Impact
All-time
Citations
686
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
13
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
  • Conducts research at Bielefeld University and Technische Universität Berlin, and is currently a visiting researcher at École Polytechnique Fédérale de Lausanne.
Education
  • No specific educational background information provided, including degrees, schools, advisors, and dates.
Background
  • Machine learning researcher with a primary focus on developing methods for safe AI, particularly in the context of computer vision for automated driving. Specializes in detection techniques for unknown objects in semantic segmentation.
Miscellany
  • Age: 30
  • Email: rchan@techfak.uni-bielefeld.de
  • Main Office: CITEC 2-224 at Inspiration 1, 33619 Bielefeld, Germany
  • Second Office: MA-5-567 at Straße des 17. Juni 136, 10623 Berlin, Germany