activity
20192022
most citedEGO-CH: Dataset and Fundamental Tasks for Visitors BehavioralUnderstanding using Egocentric Vision

39 citations · 39 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Weakly Supervised Attended Object Detection Using Gaze Data as Annotations

Michele Mazzamuto, Francesco Ragusa, Antonino Furnari +2

We consider the problem of detecting and recognizing the objects observed by visitors (i.e., attended objects) in cultural sites from egocentric vision. A standard approach to the…

cs.CV2022

Egocentric Human-Object Interaction Detection Exploiting Synthetic Data

Rosario Leonardi, Francesco Ragusa, Antonino Furnari +1

We consider the problem of detecting Egocentric HumanObject Interactions (EHOIs) in industrial contexts. Since collecting and labeling large amounts of real images is challenging,…

cs.CV2020

The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain

Francesco Ragusa, Antonino Furnari, Salvatore Livatino +1

Wearable cameras allow to collect images and videos of humans interacting with the world. While human-object interactions have been thoroughly investigated in third person vision,…

cs.CV202039 cited

EGO-CH: Dataset and Fundamental Tasks for Visitors BehavioralUnderstanding using Egocentric Vision

Francesco Ragusa, Antonino Furnari, Sebastiano Battiato +2

Equipping visitors of a cultural site with a wearable device allows to easily collect information about their preferences which can be exploited to improve the fruition of cultural…

cs.CV2019

Egocentric Visitors Localization in Cultural Sites

Francesco Ragusa, Antonino Furnari, Sebastiano Battiato +2

We consider the problem of localizing visitors in a cultural site from egocentric (first person) images. Localization information can be useful both to assist the user during his v…