4 papers
Uncertainty-Aware Trajectory Forecasting from Imperfect Tracking
Stephane Da Silva Martins, Victor Petrovic, Emanuel Aldea +1
Most trajectory forecasting models are trained on clean annotated histories, and are often evaluated under the same idealized assumption, although practical deployments rely on tra…
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…
Paradigm for YOLO-based Infrared Small Target Detection
Alina Ciocarlan, Sylvie Le Hégarat-Mascle, Sidonie Lefebvre +2
Detecting small to tiny targets in infrared images is a challenging task in computer vision, especially when it comes to differentiating these targets from noisy or textured backgr…
Efficient Evaluation of the Number of False Alarm Criterion
Sylvie Le Hégarat-Mascle, Emanuel Aldea, Jennifer Vandoni
This paper proposes a method for computing efficiently the significance of a parametric pattern inside a binary image. On the one hand, a-contrario strategies avoid the user involv…