283 citations · 682 across the 52 of their papers we have counts for
9 papers · 1 filter
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…
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…
Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video
Alessandro Sebastiano Catinello, Giovanni Maria Farinella, Antonino Furnari
This work tackles the problem of Online detection of Take and Release (OTR) of an object in untrimmed egocentric videos. This task is challenging due to severe label imbalance, wit…
Efficient Calisthenics Skills Classification through Foreground Instance Selection and Depth Estimation
Antonio Finocchiaro, Giovanni Maria Farinella, Antonino Furnari
Calisthenics skill classification is the computer vision task of inferring the skill performed by an athlete from images, enabling automatic performance assessment and personalized…
Calisthenics Skills Temporal Video Segmentation
Antonio Finocchiaro, Giovanni Maria Farinella, Antonino Furnari
Calisthenics is a fast-growing bodyweight discipline that consists of different categories, one of which is focused on skills. Skills in calisthenics encompass both static and dyna…
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…
How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?
Giuseppe Lando, Rosario Forte, Giovanni Maria Farinella +1
We investigate whether off-the-shelf Multimodal Large Language Models (MLLMs) can tackle Online Episodic-Memory Video Question Answering (OEM-VQA) without additional training. Our…
EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs
Ivan Rodin, Tz-Ying Wu, Kyle Min +4
We introduce EASG-Bench, a question-answering benchmark for egocentric videos where the question-answering pairs are created from spatio-temporally grounded dynamic scene graphs ca…
Task Graph Maximum Likelihood Estimation for Procedural Activity Understanding in Egocentric Videos
Luigi Seminara, Giovanni Maria Farinella, Antonino Furnari
We introduce a gradient-based approach for learning task graphs from procedural activities, improving over hand-crafted methods. Our method directly optimizes edge weights via maxi…