Luca Collorone — accepted AI-conference papers

2025

MonSTeR: a Unified Model for Motion, Scene, Text Retrieval

Luca Collorone, Matteo Gioia, Massimiliano Pappa, Paolo Leoni, Giovanni Ficarra, Or Litany +2

ICCV 2025poster

Intention drives human movement in complex environments, but such movement can only happen if the surrounding context supports it. Despite the intuitive nature of this mechanism, existing research has not yet provided tools to evaluate the alignment between skeletal movement (motion), intention (tex…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2023

Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection

Alessandro Flaborea, Luca Collorone, Guido Maria D'Amely di Melendugno, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso

ICCV 2023poster

Anomalies are rare and anomaly detection is often therefore framed as One-Class Classification (OCC), i.e. trained solely on normalcy. Leading OCC techniques constrain the latent representations of normal motions to limited volumes and detect as abnormal anything outside, which accounts satisfactori…

Cited by 50 PDF ↗code ↗Scholar ↗