About Me

Francesco Ragusa is Assistant Professor (RTDA) at the University of Catania, Italy. He has completed an Industrial Doctorate in Computer Science in 2021. During his PhD studies, he has spent a period as Research Student at the University of Hertfordshire, UK. His research interests concern Computer Vision, Pattern Recognition, and Machine Learning, with focus on First Person Vision. He is part of EPICK-KITCHENS, EGO4D and EGO-EXO4D teams. He is co-founder and CEO of NEXT VISION s.r.l., an academic spin-off of the University of Catania since 2021.

News

Jun 26 Ego-Exo4D CVPR 2024 paper was selected as a winner of the 2024/2025 EgoVis Distinguished Paper Award!
Jun 26 Our paper "SAKURA: System for Augmented Kinetics and Unified Rehabilitation Assessment" accepted at AVSS 2026!
Nov 25 Our paper "Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. International Journal of Computer Vision" accepted at IJCV 2025!

Research Projects

Ego-Exo4D

Webpage and Dataset |Video

Ego-Exo4D : Understanding Skilled Human Activity from First- and Third-Person Perspectives. K Grauman et al. IEEE/CVF Computer Vision and Pattern Recognition (CVPR) 2024. ArXiv, Webpage, PDF


ENIGMA-51

Webpage and Dataset

ENIGMA-51: Towards a Fine-Grained Understanding of Human Behavior in Industrial Scenarios. F. Ragusa R. Leonardi, M. Mazzamuto, C. Bonanno, R. Scavo, A. Furnari, G. M. Farinella. WACV (2024). Paper


The Future of Egocentric Vision

An Outlook into the Future of Egocentric Vision. C Plizzari*, G Goletto*, A Furnari*, S Bansal*, F Ragusa*, GM Farinella, D Damen, T Tommasi. (2023). ArXiv


The MECCANO Dataset

Webpage and Dataset |Challenge

MECCANO: A Multimodal Egocentric Dataset for Humans Behavior Understanding in the Industrial-like Domain. F. Ragusa, A. Furnari, G.M. Farinella. CVIU (2023). Paper

The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain. F. Ragusa, A. Furnari, S. Livatino, G.M. Farinella. WACV (2021) Oral. Paper, Oral Presentation