3 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
An Experimental Investigation into the Evaluation of Explainability Methods
Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack +7
EXplainable Artificial Intelligence (XAI) aims to help users to grasp the reasoning behind the predictions of an Artificial Intelligence (AI) system. Many XAI approaches have emerg…