3 citations · 3 across the 10 of their papers we have counts for
10 papers
EgoInteract: Synthetic Egocentric Videos Generation for Interaction Understanding and Anticipation
Rosario Leonardi, Francesco Ragusa, Daniele Materia +4
Collecting large-scale egocentric video datasets with dense spatial and temporal annotations is costly, slow, and often constrained by environmental biases, privacy constraints, an…
Leveraging Synthetic Data for Enhancing Egocentric Hand-Object Interaction Detection
Rosario Leonardi, Antonino Furnari, Francesco Ragusa +1
In this work, we explore the role of synthetic data in improving the detection of Hand-Object Interactions from egocentric images. Through extensive experimentation and comparative…
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…
GlovEgo-HOI: Bridging the Synthetic-to-Real Gap for Industrial Egocentric Human-Object Interaction Detection
Alfio Spoto, Rosario Leonardi, Francesco Ragusa +1
Egocentric Human-Object Interaction (EHOI) analysis is crucial for industrial safety, yet the development of robust models is hindered by the scarcity of annotated domain-specific…
Learning Egocentric In-Hand Object Segmentation through Weak Supervision from Human Narrations
Nicola Messina, Rosario Leonardi, Luca Ciampi +4
Pixel-level recognition of objects manipulated by the user from egocentric images enables key applications spanning assistive technologies, industrial safety, and activity monitori…
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…
Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?
Rosario Leonardi, Antonino Furnari, Francesco Ragusa +1
In this study, we investigate the effectiveness of synthetic data in enhancing egocentric hand-object interaction detection. Via extensive experiments and comparative analyses on t…
ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios
Francesco Ragusa, Rosario Leonardi, Michele Mazzamuto +4
ENIGMA-51 is a new egocentric dataset acquired in an industrial scenario by 19 subjects who followed instructions to complete the repair of electrical boards using industrial tools…
Exploiting Multimodal Synthetic Data for Egocentric Human-Object Interaction Detection in an Industrial Scenario
Rosario Leonardi, Francesco Ragusa, Antonino Furnari +1
In this paper, we tackle the problem of Egocentric Human-Object Interaction (EHOI) detection in an industrial setting. To overcome the lack of public datasets in this context, we p…
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,…