5 papers
ProSkill: Segment-Level Skill Assessment in Procedural Videos
Michele Mazzamuto, Daniele Di Mauro, Gianpiero Francesca +2
Skill assessment in procedural videos is crucial for the objective evaluation of human performance in settings such as manufacturing and procedural daily tasks. Current research on…
Language-Based Swarm Perception: Decentralized Person Re-Identification via Natural Language Descriptions
Miquel Kegeleirs, Lorenzo Garattoni, Gianpiero Francesca +1
We introduce a method for decentralized person re-identification in robot swarms that leverages natural language as the primary representational modality. Unlike traditional approa…
Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection
Giacomo D'Amicantonio, Snehashis Majhi, Quan Kong +4
Video Anomaly Detection (VAD) is a challenging task due to the variability of anomalous events and the limited availability of labeled data. Under the Weakly-Supervised VAD (WSVAD)…
Just Dance with ! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection
Snehashis Majhi, Giacomo D'Amicantonio, Antitza Dantcheva +5
Weakly-supervised methods for video anomaly detection (VAD) are conventionally based merely on RGB spatio-temporal features, which continues to limit their reliability in real-worl…
Collective perception for tracking people with a robot swarm
Miquel Kegeleirs, David Garzón Ramos, Guillermo Legarda Herranz +7
Swarm perception refers to the ability of a robot swarm to utilize the perception capabilities of each individual robot, forming a collective understanding of the environment. Thei…