Computer Vision, Imaging and Computer Graphics Theory and Applications
16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8–10, 2021, Revised Selected Papers
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Giovanni Maria Farinella
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Article
Open AccessAn Outlook into the Future of Egocentric Vision
What will the future be? We wonder! In this survey, we explore the gap between current research in egocentric vision and the ever-anticipated future, where wearable computing, with outward facing cameras and digi...
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Article
Open AccessImage-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation
Robot visual navigation is a relevant research topic. Current deep navigation models conveniently learn the navigation policies in simulation, given the large amount of experience they need to collect. Unfortu...
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Chapter and Conference Paper
The UNICT-TEAM Vision Modules for the Mohamed Bin Zayed International Robotics Challenge 2020
Real-world advanced robotics applications cannot be conceived without the employment of onboard visual perception. By perception we refer not only to image acquisition, but more importantly to the information ...
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Chapter and Conference Paper
MOVING: A MOdular and Flexible Platform for Embodied VIsual NaviGation
We present MOVING, a flexible and modular hardware and software platform for visual map** and navigation in the real world. The platform comprises a flexible sensor configuration consisting of an RGB-D camer...
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Chapter and Conference Paper
HERO: A Multi-modal Approach on Mobile Devices for Visual-Aware Conversational Assistance in Industrial Domains
We present HERO, an artificial assistant designed to communicate with users with both natural language and images to aid them carrying out procedures in industrial contexts. Our system is composed of five modu...
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Chapter and Conference Paper
Quasi-Online Detection of Take and Release Actions from Egocentric Videos
In this paper, we considered the problem of detecting object take and release actions from untrimmed egocentric videos in an industrial domain. Rather than requiring that actions are recognized as they are obs...
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Book and Conference Proceedings
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Chapter and Conference Paper
SCENE-pathy: Capturing the Visual Selective Attention of People Towards Scene Elements
We present SCENE-pathy, a dataset and a set of baselines to study the visual selective attention (VSA) of people towards the 3D scene in which they are located. In practice, VSA allows to discover which parts of ...
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Article
Open AccessVisual Object Tracking in First Person Vision
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 provide useful information t...
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Book and Conference Proceedings
Computer Vision, Imaging and Computer Graphics Theory and Applications
17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 6–8, 2022, Revised Selected Papers
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Chapter and Conference Paper
An Optimized Pipeline for Image-Based Localization in Museums from Egocentric Images
With the increasing interest in augmented and virtual reality, visual localization is acquiring a key role in many downstream applications requiring a real-time estimate of the user location only from visual s...
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Article
Editorial Paper of the Special Issue on “Variational Inequalities, Nash Equilibrium Problems and Applications”
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Chapter and Conference Paper
Egocentric Human-Object Interaction Detection Exploiting Synthetic Data
We consider the problem of detecting Egocentric Human-Object Interactions (EHOIs) in industrial contexts. Since collecting and labeling large amounts of real images is challenging, we propose a pipeline and a ...
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Chapter and Conference Paper
Weakly Supervised Attended Object Detection Using Gaze Data as Annotations
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 problem involves detecting al...
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Chapter and Conference Paper
Unsupervised Multi-camera Domain Adaptation for Object Detection in Cultural Sites
Domain adaptation approaches can be used to efficiently train object detectors by leveraging labeled synthetic images, inexpensively generated from 3D models, and unlabeled real images, which are cheaper to o...
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Chapter and Conference Paper
Panoptic Segmentation in Industrial Environments Using Synthetic and Real Data
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 user is interacting with from ...
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Book and Conference Proceedings
Computer Vision – ECCV 2022
17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXIII
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Book and Conference Proceedings
Computer Vision – ECCV 2022
17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VI
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Book and Conference Proceedings
Computer Vision – ECCV 2022
17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXII
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Book and Conference Proceedings
Computer Vision – ECCV 2022
17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XII
