no code implementations • 21 Sep 2024 • Simone Alberto Peirone, Gabriele Goletto, Mirco Planamente, Andrea Bottino, Barbara Caputo, Giuseppe Averta
In this paper, we discuss the importance of decoupling the domain-specific appearance of activity-centric zones from their universal, domain-agnostic representations, and show how the latter can improve the cross-domain transferability of Egocentric Action Recognition (EAR) models.
no code implementations • 17 Sep 2024 • Gabriele Goletto, Tushar Nagarajan, Giuseppe Averta, Dima Damen
Egocentric videos provide a unique perspective into individuals' daily experiences, yet their unstructured nature presents challenges for perception.
1 code implementation • 8 May 2024 • Gabriele Berton, Gabriele Goletto, Gabriele Trivigno, Alex Stoken, Barbara Caputo, Carlo Masone
Precise, pixel-wise geolocalization of astronaut photography is critical to unlocking the potential of this unique type of remotely sensed Earth data, particularly for its use in disaster management and climate change research.
no code implementations • 14 Aug 2023 • Chiara Plizzari, Gabriele Goletto, Antonino Furnari, Siddhant Bansal, Francesco Ragusa, Giovanni Maria Farinella, Dima Damen, Tatiana Tommasi
What will the future be?
1 code implementation • 6 Nov 2022 • Gabriele Goletto, Mirco Planamente, Barbara Caputo, Giuseppe Averta
To enable a safe and effective human-robot cooperation, it is crucial to develop models for the identification of human activities.
no code implementations • 9 Sep 2022 • Mirco Planamente, Gabriele Goletto, Gabriele Trivigno, Giuseppe Averta, Barbara Caputo
In this report, we describe the technical details of our submission to the EPIC-Kitchens-100 Unsupervised Domain Adaptation (UDA) Challenge in Action Recognition.
1 code implementation • CVPR 2022 • Chiara Plizzari, Mirco Planamente, Gabriele Goletto, Marco Cannici, Emanuele Gusso, Matteo Matteucci, Barbara Caputo
However, the ever-growing field of event-based vision has, to date, overlooked the potential of event cameras in such applications.
1 code implementation • 7 Dec 2021 • Chiara Plizzari, Mirco Planamente, Gabriele Goletto, Marco Cannici, Emanuele Gusso, Matteo Matteucci, Barbara Caputo
However, the ever-growing field of event-based vision has, to date, overlooked the potential of event cameras in such applications.