collaborators

5 papers

cs.CV2026

ABM: Alignment-Aware Bridge Matching for Image-to-Image Translation

Aimi Okabayashi, Georges Le Bellier, Nicolas Audebert +3

Paired image-to-image translation underpins a wide range of computer vision tasks, including image editing, sensor translation, and domain adaptation. Bridge matching and flow matc…

cs.CV2025

FlowEO: Generative Unsupervised Domain Adaptation for Earth Observation

Georges Le Bellier, Nicolas Audebert

The increasing availability of Earth observation data offers unprecedented opportunities for large-scale environmental monitoring and analysis. However, these datasets are inherent…

cs.CV2025

Cross-sensor self-supervised training and alignment for remote sensing

Valerio Marsocci, Nicolas Audebert

Large-scale ''foundation models'' have gained traction as a way to leverage the vast amounts of unlabeled remote sensing data collected every day. However, due to the multiplicity…

cs.CV2025

PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models

Valerio Marsocci, Yuru Jia, Georges Le Bellier +12

Geospatial Foundation Models (GFMs) have emerged as powerful tools for extracting representations from Earth observation data, but their evaluation remains inconsistent and narrow.…

cs.CV2025

3DSES: an indoor Lidar point cloud segmentation dataset with real and pseudo-labels from a 3D model

Maxime Mérizette, Nicolas Audebert, Pierre Kervella +1

Semantic segmentation of indoor point clouds has found various applications in the creation of digital twins for robotics, navigation and building information modeling (BIM). Howev…