5 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…
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…
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…