Leon Sick
Scholar

Leon Sick

Google Scholar ID: KL3_OLwAAAAJ
PhD Student, Ulm University
Unsupervised SegmentationSelf-Supervised LearningVision Transformers
Citations & Impact
All-time
Citations
46
 
H-index
3
 
i10-index
2
 
Publications
8
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Published CutS3D at ICCV 2025; Masked Scene Modeling at CVPR 2025; awarded an oral presentation at WACV 2025 for attention-guided masked autoencoders; published depth-guided unsupervised semantic segmentation at CVPR 2024.
Research Experience
  • Previously a Ph.D. student at Liebherr; regularly writes blog posts explaining AI papers to beginners.
Education
  • Pursuing a Ph.D. at Ulm University, supervised by Timo Ropinski and working closely with Pedro Hermosilla.
Background
  • Currently a Ph.D. student at Ulm University, part of the Visual Computing Group. Main research interests include self-supervised pre-training, unsupervised segmentation, and various applications of Vision Transformers.
Miscellany
  • Enjoys sailing and fishing in the summer, and skiing in the winter.