5 papers · 1 filter
Are In-Context Images Worth 10 Dimensions?
Adhemar de Senneville, Xavier Bou, Jérémy Anger +2
There has been significant work on understanding the In-Context Learning capabilities of Large Language Models, especially on the induction circuit. For a few-shot classification t…
Robust RPC Bundle Adjustment for Multi-Date Satellite Imagery with Season-Invariant Correspondences
Roger Marí, Elías Masquil, Xavier Bou +2
Accurate refinement of Rational Polynomial Camera (RPC) models is essential for high-quality satellite image geolocation. In ground control point (GCP)-free multi-view pipelines, t…
Towards Athlete Fatigue Assessment from Association Football Videos
Xavier Bou, Nathan Correger, Alexandre Cloots +7
Fatigue monitoring is central in association football due to its links with injury risk and tactical performance. However, objective fatigue-related indicators are commonly derived…
Unlocking Few-Shot Capabilities in LVLMs via Prompt Conditioning and Head Selection
Adhemar de Senneville, Xavier Bou, Jérémy Anger +2
Current Large Vision Language Models (LVLMs) excel at many zero-shot tasks like image captioning, visual question answering and OCR. However, these same models suffer from poor per…
Remote Sensing Change Detection via Weak Temporal Supervision
Xavier Bou, Elliot Vincent, Gabriele Facciolo +3
Semantic change detection in remote sensing aims to identify land cover changes between bi-temporal image pairs. Progress in this area has been limited by the scarcity of annotated…