Paul Borne--Pons
He/Him

I am a doctoral student in Imagine lab at ENPC under the supervision Loic Landrieu, Odran Sourdeval, Kara D. Lamb and Mikolaj Czerkawski.

At the intersection of deep learning, remote sensing, and Earth sciences, my work aims at developing machine learning methods to infer 3D cloud properties from multimodal observations.

Before my PhD, I graduated from the MVA master (Mathematiques, Vision et Apprentissage) at ENS Paris Saclay and got an engineering degree from CentraleSupélec with a specialization in data science.

Besides research, I am passionate about Besides research, I am passionate about cinema 📽️ , film and digital photography 📷 and recently got into birdwatching 🪶.

LinkedIn github Google Scholar Letterboxd eBird

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News Publications
News 🗞️

  • 02/2026: Started my pre-doc at LOA Univ Lille under the supervision of Odran Sourdeval.

Publications 📚
MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data
P. Borne–-Pons, M. Czerkawski, R. Martin, R. Rouffet
CVPRW 2025 MORSE Workshop
paper | project page

A simple, strong baseline for building damage detection on the xBD dataset
S. Gerard, P. Borne–-Pons, J. Sullivan
Arxiv Preprint
paper | code

Contact

IMAGINE/LIGM
École des Ponts ParisTech
6-8, Av Blaise Pascal - Cité Descartes
Champs-sur-Marne
77455 Marne-la-Vallée cedex 2

email: paul [dot] bornep [at] gmail [dot] com [dot] fr
phone: +33 (0)6 47 35 21 09

LinkedIn github Google Scholar Letterboxd eBird

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Website stolen from Mathieu Aubry who himself stole it from Jon Barron.