18 papers
Locally Consistent Transductive Information Maximization for Few-Shot Remote Sensing Scene Classification
Karim El Khoury, Benoît Gérin, Benoît Macq +1
Remote sensing scene classification is increasingly relying on foundation models pre-trained on large-scale Earth-observation data. Moreover, transductive inference, which exploits…
Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability
Mathieu Cyrille Simon, Pascal Frossard, Christophe De Vleeschouwer
This paper explores unsupervised disentangled representation learning from a functional perspective. We define latent concepts as factors that influence observations through locall…
CAD-Free Learning of Spacecraft Pose Estimators via NeRF-Based Augmentations
Antoine Legrand, Renaud Detry, Christophe De Vleeschouwer
Spacecraft pose estimation networks require tens of thousands of CAD-rendered images to be trained. This reliance on synthetic CAD data (i) limits applicability to targets with rel…
NeRF-based Spacecraft Reconstruction from Monocular Imagery Under Illumination Variability and Pose Uncertainty
Antoine Legrand, Renaud Detry, Christophe De Vleeschouwer
Autonomous rendezvous and proximity operations around uncooperative, unknown spacecraft are critical for active debris removal and on-orbit servicing missions. A key component of s…
Conditional Random Fields for Interactive Refinement of Histopathological Predictions
Tiffanie Godelaine, Maxime Zanella, Karim El Khoury +3
Assisting pathologists in the analysis of histopathological images has high clinical value, as it supports cancer detection and staging. In this context, histology foundation model…
Leveraging Prediction Entropy for Automatic Prompt Weighting in Zero-Shot Audio-Language Classification
Karim El Khoury, Maxime Zanella, Tiffanie Godelaine +2
Audio-language models have recently demonstrated strong zero-shot capabilities by leveraging natural-language supervision to classify audio events without labeled training data. Ye…