Viktor Larsson
Scholar

Viktor Larsson

Google Scholar ID: vHeD0TYAAAAJ
Assistant Professor at Lund University
Computer VisionOptimizationMachine Learning
Citations & Impact
All-time
Citations
3,843
 
H-index
27
 
i10-index
53
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top international conferences such as ICCV, CVPR, ECCV; received Best Paper Honorable Mention at CVPR 2024; won Best Student Paper award at ICCV 2021; served as Area Chair for CVPR, 3DV, and other conferences.
Research Experience
  • Previously worked as a PostDoc and senior researcher at the Computer Vision and Geometry group led by Marc Pollefeys at ETH Zurich.
Background
  • Computer Vision Researcher, Assistant Professor at the Centre for Mathematical Sciences at Lund University, working in Computer Vision and Machine Learning. His research mainly focuses on robust estimation problems that appear in 3D computer vision (e.g., Structure-from-Motion, visual localization, SLAM, and dense geometry estimation). Currently, he is exploring how to best integrate deep learning with classical geometry-based pipelines.
Miscellany
  • Looking for talented students (PhD/MSc) who are interested in doing exciting research in computer vision, geometry, and machine learning.