3 papers
cs.CV2025
From Words to Wavelengths: VLMs for Few-Shot Multispectral Object Detection
Manuel Nkegoum, Minh-Tan Pham, Élisa Fromont +2
Multispectral object detection is critical for safety-sensitive applications such as autonomous driving and surveillance, where robust perception under diverse illumination conditi…
cs.CV2025
Unsupervised Detection of Post-Stroke Brain Abnormalities
Youwan Mahé, Elise Bannier, Stéphanie Leplaideur +2
Post-stroke MRI not only delineates focal lesions but also reveals secondary structural changes, such as atrophy and ventricular enlargement. These abnormalities, increasingly reco…
cs.CV2025
Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Review
Youwan Mahé, Elise Bannier, Stéphanie Leplaideur +2
Unsupervised anomaly detection (UAD) based on deep generative modelling has been increasingly explored for identifying pathological brain abnormalities without requiring voxel-leve…