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20182026
most citedScaling Egocentric Vision: The EPIC-KITCHENS Dataset

283 citations · 682 across the 52 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

cs.CV2022★ 8 cited

A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training

Giovanni Pasqualino, Antonino Furnari, Giovanni Maria Farinella

Object detection algorithms allow to enable many interesting applications which can be implemented in different devices, such as smartphones and wearable devices. In the context of…

cs.CV2022★ 45 cited

Visual Object Tracking in First Person Vision

Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella +1

The understanding of human-object interactions is fundamental in First Person Vision (FPV). Visual tracking algorithms which follow the objects manipulated by the camera wearer can…

cs.CV2022

MECCANO: A Multimodal Egocentric Dataset for Humans Behavior Understanding in the Industrial-like Domain

Francesco Ragusa, Antonino Furnari, Giovanni Maria Farinella

Wearable cameras allow to acquire images and videos from the user's perspective. These data can be processed to understand humans behavior. Despite human behavior analysis has been…

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

Panoptic Segmentation using Synthetic and Real Data

Camillo Quattrocchi, Daniele Di Mauro, Antonino Furnari +1

Being able to understand the relations between the user and the surrounding environment is instrumental to assist users in a worksite. For instance, understanding which objects a u…

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.CV2022

Untrimmed Action Anticipation

Ivan Rodin, Antonino Furnari, Dimitrios Mavroeidis +1

Egocentric action anticipation consists in predicting a future action the camera wearer will perform from egocentric video. While the task has recently attracted the attention of t…

cs.RO2022

Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation

Marco Rosano, Antonino Furnari, Luigi Gulino +2

Navigating complex indoor environments requires a deep understanding of the space the robotic agent is acting into to correctly inform the navigation process of the agent towards t…