activity
20232025
collaborators

7 papers

cs.CV2025

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 --…

astro-ph.IM2025

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…

astro-ph.IM2025

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…

astro-ph.IM2024

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…

astro-ph.IM2024

Combining statistical learning with deep learning for improved exoplanet detection and characterization

Olivier Flasseur, Théo Bodrito, Julien Mairal +3

In direct imaging at high contrast, the bright glare produced by the host star makes the detection and the characterization of sub-stellar companions particularly challenging. In s…

cs.CV2023

Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation

Bruno Lecouat, Yann Dubois de Mont-Marin, Théo Bodrito +2

This paper introduces a novel approach to the fine alignment of images in a burst captured by a handheld camera. In contrast to traditional techniques that estimate two-dimensional…

cs.CV2023

Towards Real-World Focus Stacking with Deep Learning

Alexandre Araujo, Jean Ponce, Julien Mairal

Focus stacking is widely used in micro, macro, and landscape photography to reconstruct all-in-focus images from multiple frames obtained with focus bracketing, that is, with shall…