Francesco Verdoja
Scholar

Francesco Verdoja

Google Scholar ID: 3DDM3_kAAAAJ
Academy Research Fellow at Aalto University
roboticsmappingmachine learningdeep learningcomputer vision
Citations & Impact
All-time
Citations
718
 
H-index
15
 
i10-index
17
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • Developed graph-based approaches to image segmentation and compression
  • Proposed methods for estimating complete object occupancy from partial sensor data
  • Mapped relationships between human flow and architectural design
  • Formulated hypermaps as the next step beyond multi-layer mapping for robotics
  • Holds three patents based on his research
  • Prepared and managed two large-scale Finnish national research projects
  • Organized several workshops at top robotics conferences
  • Received Best Paper Award for 'Season-Invariant GNSS-Denied Visual Localization for UAVs'
  • Became a member of the European Laboratory for Learning and Intelligent Systems (ELLIS) in 2025
  • Will present two papers at IROS25 in 2025