Àlex Pujol Vidal

tl;dr

My research explores the geometric foundations of multimodal AI, investigating how non-Euclidean spaces can better capture the hierarchical and compositional nature of visual and temporal data. I'm working on extending vision-language models to understand complex spatio-temporal-semantic relationships in video, questioning whether hyperbolic representations alone are sufficient or if we need novel geometric frameworks for temporal reasoning.