PhD Student
I am a PhD student at Imagine(LIGM), ENPC and EFEO working under the supervision of Loïc Landrieu, Vladyslav Sydorov and Christophe Pottier.
I work on Computer Vision applied to geospatial data and in particular with aerial LiDAR imaging. My current project consists in automating the archaeological mapping of ancient Khmer temples and settlements from aerial LiDAR using state-of-the-art Computer Vision techniques.
David Picard , Nicolas Dufour , Lucas Degeorge , Arijit Ghosh , Davide Allegro , Tom Ravaud , Yohann Perron , Corentin Sautier , Zeynep Sonat Baltaci , Fei Meng , Syrine Kalleli , Marta López-Rauhut , Thibaut Loiseau , Ségolène Albouy , Raphael Baena , Elliot Vincent , Loic Landrieu
CVPR Findings 2026
Yohann Perron , Vladyslav Sydorov , Christophe Pottier , Loïc Landrieu
TMLR 2026
Fajwel Fogel , Yohann Perron , Nikola Besic , Laurent Saint-André , Agnès Pellissier-Tanon , Martin Schwartz , Thomas Boudras , Ibrahim Fayad , Alexandre d'Aspremont , Loïc Landrieu , Philippe Ciais
CVPR 2025, Spotlight ✨ (top 2%)
Yohann Perron , Vladyslav Sydorov , Adam P. Wijker , Damian Evans , Christophe Pottier , Loïc Landrieu
NeurIPS 2024, Spotlight ✨ (top 3%)
Eric Bezzam , Yohann Perron , Martin Vetterli
IEEE Transactions on Computational Imaging, 2025
Yohann Perron , Eric Bezzam , Martin Vetterli
ICIP 2024
Niccolò Pancino , Yohann Perron , Pietro Bongini , Franco Scarselli
Mathematics, MDPI, 2022
EFEO & ENPC
Thesis on Archaeological Mapping in Southeast Asia from Airborne LiDAR data with Machine Learning
Université Paris Saclay
Deep Learning and NLP, Large Scale Optimisation, Optimal Transport
École Polytechnique — Institut Polytechnique de Paris
Statistics and Machine Learning, Deep Learning, Computer Vision, Optimisation and Control Theory