6 papers
XRFormer: Multiscale Tokenization for XRF Representation Learning
Sofiane Daimellah, Sylvie Le Hégarat-Mascle, Clotilde Boust
X-ray fluorescence (XRF) spectroscopy is a key modality for material analysis in cultural heritage. However, automated learning from XRF spectra remains challenging: XRF spectra ar…
Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review
Céline Finet, Stephane Da Silva Martins, Jean-Bernard Hayet +5
With the emergence of powerful data-driven methods in human trajectory prediction (HTP), gaining a finer understanding of multi-agent interactions lies within hand's reach, with im…
VISTA: A Vision and Intent-Aware Social Attention Framework for Multi-Agent Trajectory Prediction
Stephane Da Silva Martins, Emanuel Aldea, Sylvie Le Hégarat-Mascle
Multi-agent trajectory prediction is crucial for autonomous systems operating in dense, interactive environments. Existing methods often fail to jointly capture agents' long-term g…
Anomaly-Aware YOLO: A Frugal yet Robust Approach to Infrared Small Target Detection
Alina Ciocarlan, Sylvie Le Hégarat-Mascle, Sidonie Lefebvre
Infrared Small Target Detection (IRSTD) is a challenging task in defense applications, where complex backgrounds and tiny target sizes often result in numerous false alarms using c…
Self-Supervised Learning for Real-World Object Detection: a Survey
Alina Ciocarlan, Sidonie Lefebvre, Sylvie Le Hégarat-Mascle +1
Self-Supervised Learning (SSL) has emerged as a promising approach in computer vision, enabling networks to learn meaningful representations from large unlabeled datasets. SSL meth…
Robust infrared small target detection using self-supervised and a contrario paradigms
Alina Ciocarlan, Sylvie Le Hégarat-Mascle, Sidonie Lefebvre +1
Detecting small targets in infrared images poses significant challenges in defense applications due to the presence of complex backgrounds and the small size of the targets. Tradit…