Olaf Wysocki
Scholar

Olaf Wysocki

Google Scholar ID: 9xQhtFcAAAAJ
Assistant Research Professor, University of Cambridge
Computer VisionPhotogrammetryMachine Learning
Citations & Impact
All-time
Citations
166
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Sep 2025: Two ISPRS Annals papers accepted; CM2LoD3 received best paper award; chaired a session at 3DGeoInfo in Tokyo
  • Jun 2025: Best paper award for 'To Glue or Not to Glue?' and chaired point cloud processing session at MMT in Xiamen
  • May 2025: Launched the 4-year urban digital twin project TUM2TWIN
  • Apr 2025: Two papers accepted at CVPR’25: Texture2LoD3 and RADLER
  • Mar 2025: Presented ZAHA, the largest facade benchmark dataset to date, at WACV’25
  • Dec 2024: Defended PhD thesis with summa cum laude
  • Oct 2024: Best oral presentation award at ISPRS Symposium in Perth for review paper on Open Data Semantic 3D City Models
  • Sep 2024: Presented Scan2LoD3 at GCPR Nectar Track and Georg Nemetschek Institute Symposium
  • Sep 2023: Led authorship of 4 papers on digital twinning at 3D GeoInfo ‘23
Research Experience
  • Currently leading the CV4DT group at the University of Cambridge
  • Former Research Associate at the Photogrammetry & Remote Sensing Chair, Technical University of Munich, working on 3D object reconstruction and semantic segmentation of point clouds
  • Previously worked as a geomatics professional in a company focused on 3D urban reconstruction
  • Visiting researcher at the University of Nottingham (since August 2023), working on 3D point cloud segmentation
  • Launched a new LoD3 reconstruction project in March 2024 with TUM Engineering Geodesy and Prof Biljecki’s group at NUS