Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mirco, Planamente"'
Publikováno v:
Human-Friendly Robotics 2022 ISBN: 9783031227301
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c954900f3fb247fecee37380ff9dc9f8
http://hdl.handle.net/11583/2971272
http://hdl.handle.net/11583/2971272
To enable a safe and effective human-robot cooperation, it is crucial to develop models for the identification of human activities. Egocentric vision seems to be a viable solution to solve this problem, and therefore many works provide deep learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::909e41f51872f35cf2bb0f81ab7228b4
http://arxiv.org/abs/2211.03004
http://arxiv.org/abs/2211.03004
Autor:
Marco Cannici, Chiara Plizzari, Andrea Bottino, Marco Ciccone, Matteo Matteucci, Barbara Caputo, Mirco Planamente
Publikováno v:
CVPR Workshops
Event cameras are novel neuromorphic sensors, which asynchronously capture pixel-level intensity changes in the form of “events”. Event simulation from existing RGB datasets is commonly used to overcome the need of large amount of annotated data,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::462aee6c58bdaaa48227a225d4124b80
http://hdl.handle.net/11311/1181298
http://hdl.handle.net/11311/1181298
Autor:
Marco Cannici, Barbara Caputo, Chiara Plizzari, Marco Ciccone, Andrea Bottino, Matteo Matteucci, Francesco Strada, Mirco Planamente
Event cameras are novel bio-inspired sensors, which asynchronously capture pixel-level intensity changes in the form of "events". The innovative way they acquire data presents several advantages over standard devices, especially in poor lighting and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b04283b98a812805e555694d9d7b15ef
http://hdl.handle.net/11311/1181299
http://hdl.handle.net/11311/1181299
Autor:
Luca Robbiano, Markus Vincze, Mirco Planamente, Mohammad Reza Loghmani, Kiru Park, Barbara Caputo
Publikováno v:
IEEE Robotics and Automation Letters
Unsupervised Domain Adaptation (DA) exploits the supervision of a label-rich source dataset to make predictions on an unlabeled target dataset by aligning the two data distributions. In robotics, DA is used to take advantage of automatically generate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4790141a53938981aa9ec22bb214d977
http://arxiv.org/abs/2004.10016
http://arxiv.org/abs/2004.10016
Publikováno v:
IEEE Robotics and Automation Letters
Providing machines with the ability to recognize objects like humans has always been one of the primary goals of machine vision. The introduction of RGB-D cameras has paved the way for a significant leap forward in this direction thanks to the rich i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0333f2e4123f385de772d7bf0211703e
Publikováno v:
2020 25th International Conference on Pattern Recognition (ICPR)
ICPR
ICPR
Wearable cameras are becoming more and more popular in several applications, increasing the interest of the research community in developing approaches for recognizing actions from the first-person point of view. An open challenge in egocentric actio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92bb987cc04faae73be53f65bd6123d9