3 papers
physics.optics2025
Inferring geometry and material properties from Mueller matrices with machine learning
Lars Doorenbos, C. H. Lucas Patty, Raphael Sznitman +1
Mueller matrices (MMs) encode information on geometry and material properties, but recovering both simultaneously is an ill-posed problem. We explore whether MMs contain sufficient…
cs.CV2025
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation
Javier Gamazo Tejero, Moritz Schmid, Pablo Márquez Neila +3
This paper addresses the domain adaptation challenge for semantic segmentation in medical imaging. Despite the impressive performance of recent foundational segmentation models lik…
cs.CV2024
Non-Linear Outlier Synthesis for Out-of-Distribution Detection
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
The reliability of supervised classifiers is severely hampered by their limitations in dealing with unexpected inputs, leading to great interest in out-of-distribution (OOD) detect…