Yohann PERRON
Scholar

Yohann PERRON

Google Scholar ID: Uy07SRQAAAAJ
PHD, LIGM, EFEO
Computer visionDeep learning
Citations & Impact
All-time
Citations
33
 
H-index
3
 
i10-index
2
 
Publications
6
 
Co-authors
6
list available
Publications
6 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications: 'Open-Canopy: Towards Very High Resolution Forest Monitoring', CVPR 2025, Spotlight (top 2%); 'Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era', NeurIPS 2024, Spotlight (top 3%). Other recent publications include collaborations with Eric Bezzam, Martin Vetterli, etc.
Research Experience
  • Experience: Research at Imagine(LIGM), ENPC and EFEO. Current project: Automating the archaeological mapping of ancient Khmer (in south east asia) temple and settlements from aerial Lidar using state-of-the-art Computer Vision techniques.
Education
  • PhD in Computer Vision applied to archeology, Schools: EFEO & ENPC; Master MVA, School: Université Paris Saclay; Ingenieur Polytechnicien, School: Ecole Polytechnique - Institut Polytechnique de Paris (IPP).
Background
  • Interests: Artificial Intelligence, Computer Vision, Archeology. About Me: I am a PhD student at Imagine(LIGM), ENPC and EFEO working under the supervision of Loïc Landrieu, Vladyslav Sydorov, and Christophe Pottier.