42 citations · 48 across the 7 of their papers we have counts for
7 papers
Optimal transport unlocks end-to-end learning for single-molecule localization
Romain Seailles, Jean-Baptiste Masson, Jean Ponce +1
Single-molecule localization microscopy (SMLM) allows reconstructing biology-relevant structures beyond the diffraction limit by detecting and localizing individual fluorophores --…
Deep learning for exoplanet detection and characterization by direct imaging at high contrast
Théo Bodrito, Olivier Flasseur, Julien Mairal +3
Exoplanet imaging is a major challenge in astrophysics due to the need for high angular resolution and high contrast. We present a multi-scale statistical model for the nuisance co…
MicroFlow: Domain-Specific Optical Flow for Ground Deformation Estimation in Seismic Events
Juliette Bertrand, Sophie Giffard-Roisin, James Hollingsworth +1
Dense ground displacement measurements are crucial for geological studies but are impractical to collect directly. Traditionally, displacement fields are estimated using patch matc…
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations
Théo Bodrito, Olivier Flasseur, Julien Mairal +3
The search for exoplanets is an active field in astronomy, with direct imaging as one of the most challenging methods due to faint exoplanet signals buried within stronger residual…
MODEL&CO: Exoplanet detection in angular differential imaging by learning across multiple observations
Théo Bodrito, Olivier Flasseur, Julien Mairal +3
Direct imaging of exoplanets is particularly challenging due to the high contrast between the planet and the star luminosities, and their small angular separation. In addition to t…
SpectralEarth: Training Hyperspectral Foundation Models at Scale
Nassim Ait Ali Braham, Conrad M Albrecht, Julien Mairal +3
Foundation models have triggered a paradigm shift in computer vision and are increasingly being adopted in remote sensing, particularly for multispectral imagery. Yet, their potent…
Fast Semisupervised Unmixing Using Nonconvex Optimization
Behnood Rasti, Alexandre Zouaoui, Julien Mairal +1
In this paper, we introduce a novel linear model tailored for semisupervised/library-based unmixing. Our model incorporates considerations for library mismatch while enabling the e…