collaborators

5 papers

cs.CV2026

ENIGMA-360: An Ego-Exo Dataset for Human Behavior Understanding in Industrial Scenarios

Francesco Ragusa, Rosario Leonardi, Michele Mazzamuto +6

Understanding human behavior from complementary egocentric (ego) and exocentric (exo) points of view enables the development of systems that can support workers in industrial envir…

cs.CV2026

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…

cs.CV2025

Ego-EXTRA: video-language Egocentric Dataset for EXpert-TRAinee assistance

Francesco Ragusa, Michele Mazzamuto, Rosario Forte +5

We present Ego-EXTRA, a video-language Egocentric Dataset for EXpert-TRAinee assistance. Ego-EXTRA features 50 hours of unscripted egocentric videos of subjects performing procedur…

cs.CV2025

A Real-Time System for Egocentric Hand-Object Interaction Detection in Industrial Domains

Antonio Finocchiaro, Alessandro Sebastiano Catinello, Michele Mazzamuto +3

Hand-object interaction detection remains an open challenge in real-time applications, where intuitive user experiences depend on fast and accurate detection of interactions with s…

cs.CV2025

Gazing Into Missteps: Leveraging Eye-Gaze for Unsupervised Mistake Detection in Egocentric Videos of Skilled Human Activities

Michele Mazzamuto, Antonino Furnari, Yoichi Sato +1

We address the challenge of unsupervised mistake detection in egocentric video of skilled human activities through the analysis of gaze signals. While traditional methods rely on m…