Timo Kaiser
Scholar

Timo Kaiser

Google Scholar ID: L-SQX2YAAAAJ
Ph.D. Student Computer Science, Leibniz University Hannover
trackingmatching
Citations & Impact
All-time
Citations
84
 
H-index
4
 
i10-index
2
 
Publications
10
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Involved in projects such as Multiple People Tracking, GreenAutoML4FAS, and has published several papers including 'CHiQPM: Calibrated Hierarchical Interpretable Image Classification', 'UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model', etc.
Research Experience
  • Since May 2020, he has been working towards his Dr.-Ing. at the Institut für Informationsverarbeitung (TNT).
Education
  • Studied Mechatronics at Leibniz Universität Hannover, focusing on Robotics during B. Sc. studies and digital image processing during M. Sc. studies. Passed the Master's Examination in March 2020 and received his M. Sc. degree.
Background
  • His main research interests include object detection, multiple object tracking, and person re-identification. In his master thesis, he modeled and optimized the multiple people tracking problem as a Conditional Random Field.