Timo Milbich
Scholar

Timo Milbich

Google Scholar ID: ULmW6kUAAAAJ
Aignostics GmbH
Computer VisionRepresentation LearningDigital PathologySelf-supervised Learning
Citations & Impact
All-time
Citations
980
 
H-index
14
 
i10-index
14
 
Publications
20
 
Co-authors
37
list available
Resume (English only)
Academic Achievements
  • Publications: Multiple papers published in top-tier conferences such as ECCV 2020, TPAMI 2020, and NeurIPS 2021. Academic Activities: Gave a tutorial on Deep Visual Similarity and Metric Learning at CVPR 2022.
Research Experience
  • Current Position: Postdoctoral Researcher in the Machine Vision and Learning Group at LMU Munich. Research Focus: Learning representations for and similarities between images, as well as analyzing human poses and their dynamics.
Education
  • Ph.D. in Computer Vision from the Heidelberg Collaboratory for Image Processing (HCI), one of Germany's largest and most prestigious institutes in this area.
Background
  • Research Interests: Computer Vision and Deep Machine Learning. Field of Expertise: Mathematics and Scientific Computing, focusing on Computer Vision, Machine Learning, and Optimization. Background: As a Postdoctoral Researcher at LMU Munich and Heidelberg University, actively contributes to research in Computer Vision and (Deep) Machine Learning.
Miscellany
  • Personal Interests: Loves playing Volleyball, hiking, reading books, and learning new things.