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- research-articleApril 2024
Passive Haptics and Conversational Avatars for Interacting with Ancient Egypt Remains in High-Fidelity Virtual Reality Experiences
Journal on Computing and Cultural Heritage (JOCCH), Volume 17, Issue 2Article No.: 29, Pages 1–28https://doi.org/10.1145/3648003As extended reality continues to grow, new possibilities arise to provide users with novel ways to experience cultural heritage (CH). In particular, applications based on virtual reality (VR), such as virtual museums, have gained increasing popularity, ...
- research-articleMay 2024
Drift Detection for Black-Box Deep Learning Models
IT Professional (IEEECS_ITPRO), Volume 26, Issue 2Pages 24–31https://doi.org/10.1109/MITP.2023.3338007Dataset drift is a common challenge in machine learning, especially for models trained on unstructured data, such as images. In this article, we propose a new approach for the detection of data drift in black-box models, which is based on Hellinger ...
- research-articleJanuary 2024
Virtual Reality Body Swapping to Improve Self-Assessment in Job Interview Training
IEEE Transactions on Learning Technologies (IEEETLT), Volume 17Pages 992–1006https://doi.org/10.1109/TLT.2023.3349161Swapping visual perspective in virtual reality (VR) provides a unique means for embodying different virtual bodies and for self-distancing. Moreover, this technology is a powerful tool for experiential learning and for simulating realistic scenarios, with ...
- short-paperNovember 2023
Designing Hand-held Controller-based Handshake Interaction in Social VR and Metaverse
MIG '23: Proceedings of the 16th ACM SIGGRAPH Conference on Motion, Interaction and GamesArticle No.: 18, Pages 1–6https://doi.org/10.1145/3623264.3624464This work presents four possible designs for the handshake interaction in a Social VR-like virtual environment in which the user operates using hand-held controllers: a first design based on a graphics user interface (GUI), a second design leveraging a ...
- ArticleSeptember 2023
Fuzzy Logic Visual Network (FLVN): A Neuro-Symbolic Approach for Visual Features Matching
AbstractNeuro-symbolic integration aims at harnessing the power of symbolic knowledge representation combined with the learning capabilities of deep neural networks. In particular, Logic Tensor Networks (LTNs) allow to incorporate background knowledge in ...
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- ArticleSeptember 2023
MetaLibrary: Towards Social Immersive Environments for Readers
AbstractThe continuous integration of cutting-edge technologies in various fields such as culture and education is leading institutions towards a radical digital evolution. This work studies how one of the key actors of these domains, i.e., libraries, ...
- ArticleSeptember 2023
A Framework for Animating Customized Avatars from Monocular Videos in Virtual Try-On Applications
AbstractGenerating real-time animations for customized avatars is becoming of paramount importance, especially in Virtual Try-On applications. This technology allows customers to explore or “try on” products virtually. Despite the numerous benefits of ...
- opinionAugust 2023
Guest Editorial of the Special Section on Consumer Electronics With Artificial Intelligence
IEEE Transactions on Consumer Electronics (ITOCE), Volume 69, Issue 3Pages 237–239https://doi.org/10.1109/TCE.2023.3292165Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) represent game changer technologies for Consumer Electronics (CE). In fact, they ever more represent the core of most CE products, and they are also changing the way these ...
- research-articleAugust 2023
MIXO: Mixture Of Experts-Based Visual Odometry for Multicamera Autonomous Systems
IEEE Transactions on Consumer Electronics (ITOCE), Volume 69, Issue 3Pages 261–270https://doi.org/10.1109/TCE.2023.3238655Visual-inertial odometry is a fundamental technology exploited by autonomous vehicles and mobile robots to determine their position in unknown environments. Indeed, many techniques have been proposed for monocular and stereo cameras. State-of-the-art ...
- research-articleAugust 2023
Using Temporal Convolutional Networks to estimate ball possession in soccer games
Expert Systems with Applications: An International Journal (EXWA), Volume 223, Issue Chttps://doi.org/10.1016/j.eswa.2023.119780AbstractThe use of tracking data in the field of sport analytics has increased in the last years as a starting point for in-depth tactical analyses. This work investigates the use of Temporal Convolutional Networks (TCNs), a powerful architecture for ...
Highlights- Neural networks can be applied to estimate the state of a football game.
- Temporal convolutional networks are well-suited to handle spatio-temporal data.
- Permutation-invariant operators extract team-level features from trajectories.
- research-articleJanuary 2023
Immersive movies: the effect of point of view on narrative engagement
AbstractCinematic virtual reality (CVR) offers filmmakers a wide range of possibilities to explore new techniques regarding movie scripting, shooting and editing. Despite the many experiments performed so far both with both live action and computer-...
- research-articleJanuary 2023
Immersive Virtual Reality for procedural training: Comparing traditional and learning by teaching approaches
AbstractVirtual Reality (VR) has been widely adopted for the creation of training experiences, since it appears to allow overcoming, especially for practical training, some of the limitations of real exercises. Many previous works focused on ...
Highlights- The best ways to use VR Training Systems (VRTS) has yet to be fully investigated.
- review-articleJanuary 2023
Data augmentation for medical imaging: A systematic literature review
Computers in Biology and Medicine (CBIM), Volume 152, Issue Chttps://doi.org/10.1016/j.compbiomed.2022.106391AbstractRecent advances in Deep Learning have largely benefited from larger and more diverse training sets. However, collecting large datasets for medical imaging is still a challenge due to privacy concerns and labeling costs. Data ...
Highlights- Data augmentation is beneficial across all organs, modalities and tasks.
- ...
- research-articleOctober 2022
Immersive virtual reality and passive haptic interfaces to improve procedural learning in a formal training course for first responders
AbstractOne key aspect for the safety and success of first responders’ operations is the compliance, during the intervention, with all the safety procedures and prescribed behaviors. Although real-world simulation exercises are considered as the best way ...
- ArticleJuly 2022
Automatic Generation of 3D Animations from Text and Images
AbstractThe understanding of information in a text description can be improved by visually accompanying it with images or videos. This opportunity is particularly relevant for books and other traditional instructional material. Videos or, more in general, ...
- research-articleNovember 2021
Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing
- Luca Ardito,
- Andrea Bottino,
- Riccardo Coppola,
- Fabrizio Lamberti,
- Francesco Manigrasso,
- Lia Morra,
- Marco Torchiano
ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 31, Issue 2Article No.: 21, Pages 1–32https://doi.org/10.1145/3477427In automated Visual GUI Testing (VGT) for Android devices, the available tools often suffer from low robustness to mobile fragmentation, leading to incorrect results when running the same tests on different devices.
To soften these issues, we evaluate two ...
- ArticleSeptember 2021
Faster-LTN: A Neuro-Symbolic, End-to-End Object Detection Architecture
Artificial Neural Networks and Machine Learning – ICANN 2021Pages 40–52https://doi.org/10.1007/978-3-030-86340-1_4AbstractThe detection of semantic relationships between objects represented in an image is one of the fundamental challenges in image interpretation. Neural-Symbolic techniques, such as Logic Tensor Networks (LTNs), allow the combination of semantic ...
- ArticleSeptember 2021
An Automatic 3D Scene Generation Pipeline Based on a Single 2D Image
- Alberto Cannavò,
- Christian Bardella,
- Lorenzo Semeraro,
- Federico De Lorenzis,
- Congyi Zhang,
- Ying Jiang,
- Fabrizio Lamberti
Augmented Reality, Virtual Reality, and Computer GraphicsPages 109–117https://doi.org/10.1007/978-3-030-87595-4_9AbstractIn the last years, solutions were proposed in the literature to alleviate the complexity of using sophisticated graphic suites for 3D scene generation by leveraging automatic tools. The most common approach based on the processing of text ...
- research-articleMay 2021
HandPainter - 3D Sketching in VR with Hand-based Physical Proxy
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing SystemsArticle No.: 412, Pages 1–13https://doi.org/10.1145/3411764.34453023D sketching in virtual reality (VR) enables users to create 3D virtual objects intuitively and immersively. However, previous studies showed that mid-air drawing may lead to inaccurate sketches. To address this issue, we propose to use one hand as a ...
- ArticleSeptember 2020
Evaluating the Suitability of Several AR Devices and Tools for Industrial Applications
Augmented Reality, Virtual Reality, and Computer GraphicsPages 248–267https://doi.org/10.1007/978-3-030-58468-9_19AbstractIn recent years, there has been an increasing interest in Industrial Augmented Reality (IAR) due to its prominent role in the ongoing revolution known as Industry 4.0. For companies and industries it is essential to evaluate carefully which of the ...