Raphaël Delécluse

A novel three-step hierarchical Transformer achieves state-of-the-art trajectory prediction by efficiently modeling social interactions and multimodal cues without compromising interpretability.

Depth-only person re-identification can match the performance of RGB methods while safeguarding privacy, challenging the reliance on traditional imaging techniques.

Top-view RGB-D person re-identification is surprisingly feasible, even across modalities, despite the inherent challenges of viewpoint and modality variations.