Johannes Schönberger
Scholar

Johannes Schönberger

Google Scholar ID: MlcMCd0AAAAJ
Meta
computer visionartificial intelligenceaugmented realitygeometrystructure from motion
Citations & Impact
All-time
Citations
62,345
 
H-index
29
 
i10-index
37
 
Publications
20
 
Co-authors
71
list available
Resume (English only)
Academic Achievements
  • Received the ECVA Young Researcher Award in 2023; Received the PAMI Mark Everingham Prize in 2020 for work on the COLMAP SFM and MVS software; Received an ETH Medal in 2019 for his PhD thesis; Best paper honorable mention at DAGM 2015.
Research Experience
  • Current position: Engineer & Researcher in the Spatial AI team at Meta; Former position: Principal Scientist at Microsoft MR & AI Lab for 6 years; Developed the open-source software COLMAP, an end-to-end image-based 3D reconstruction software widely used in academia and industry; Contributed to several scientific open source projects including scikit-image, scikit-learn, NumPy, SciPy, etc.
Education
  • PhD in Computer Science from ETH Zürich (Advisor information not provided); MSc from UNC Chapel Hill; BSc from TU Munich.
Background
  • Main research interests: image-based mapping, localization, and scene understanding; Broadly interested in the intersection of computer vision and geometry; Currently an engineer & researcher in the Spatial AI team at Meta, previously a Principal Scientist at Microsoft MR & AI Lab for 6 years.
Miscellany
  • No additional information provided.