283 citations · 682 across the 52 of their papers we have counts for
10 papers · 1 filter
Is First Person Vision Challenging for Object Tracking?
Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella +1
Understanding human-object interactions is fundamental in First Person Vision (FPV). Tracking algorithms which follow the objects manipulated by the camera wearer can provide usefu…
On Embodied Visual Navigation in Real Environments Through Habitat
Marco Rosano, Antonino Furnari, Luigi Gulino +1
Visual navigation models based on deep learning can learn effective policies when trained on large amounts of visual observations through reinforcement learning. Unfortunately, col…
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,…
An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites
Giovanni Pasqualino, Antonino Furnari, Giovanni Signorello +1
Recognizing artworks in a cultural site using images acquired from the user's point of view (First Person Vision) allows to build interesting applications for both the visitors and…
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning
Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè +2
Semantic segmentation methods have achieved outstanding performance thanks to deep learning. Nevertheless, when such algorithms are deployed to new contexts not seen during trainin…
Rescaling Egocentric Vision
Dima Damen, Hazel Doughty, Giovanni Maria Farinella +8
This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a collection of 100 hours, 20M fra…
Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video
Antonino Furnari, Giovanni Maria Farinella
In this paper, we tackle the problem of egocentric action anticipation, i.e., predicting what actions the camera wearer will perform in the near future and which objects they will…
The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines
Dima Damen, Hazel Doughty, Giovanni Maria Farinella +8
Since its introduction in 2018, EPIC-KITCHENS has attracted attention as the largest egocentric video benchmark, offering a unique viewpoint on people's interaction with objects, t…
Knowledge Distillation for Action Anticipation via Label Smoothing
Guglielmo Camporese, Pasquale Coscia, Antonino Furnari +2
Human capability to anticipate near future from visual observations and non-verbal cues is essential for developing intelligent systems that need to interact with people. Several r…
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…