Gonthier Nicolas
Scholar

Gonthier Nicolas

Google Scholar ID: y6a-lk0AAAAJ
LaSTIG lab. (Univ. Gustave Eiffel, IGN-ENSG)
Deep LearningComputer VisionGeospatial DataEarth ObservationDigital Humanities
Citations & Impact
All-time
Citations
442
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Involved in several research projects, such as OGRE (2026-2029), which explores generative models and their application to extreme events detection in multimodal remote sensing data; Change Detection in Very High Resolution Images (2022-2025); and Multimodal Self-Supervised Learning for Earth Observation (2022-2026).
Research Experience
  • Postdoctoral researcher in the IMAGINE team of ENPC, working with Mathieu Aubry on unsupervised learning for text recognition; currently a project manager and researcher at the French Mapping Agency IGN and LASTIG, focusing on change detection for earth observation and deep learning applied to geospatial data.
Education
  • Ph.D. from Université Paris Saclay and Télécom Paris, in the IMAGE team, supervised by Yann Gousseau, Saïd Ladjal, and Olivier Bonfait, working on deep learning for art analysis.
Background
  • Innovation Project Manager at the French Mapping Agency IGN and researcher at LASTIG. Research interests include deep learning applied for geospatial data and historical images.
Miscellany
  • Resides in Saint-Mandé, personal interests not detailed.
Co-authors
0 total
Co-authors: 0 (list not available)