Zobrazeno 1 - 10 of 38 pro vyhledávání: '"Luca Ciampi"'
1
Akademický článek
A comprehensive atlas of perineuronal net distribution and colocalization with parvalbumin in the adult mouse brain
Autor: Leonardo Lupori, Valentino Totaro, Sara Cornuti, Luca Ciampi, Fabio Carrara, Edda Grilli, Aurelia Viglione, Francesca Tozzi, Elena Putignano, Raffaele Mazziotti, Giuseppe Amato, Claudio Gennaro, Paola Tognini, Tommaso Pizzorusso
Publikováno v: Cell Reports, Vol 42, Iss 7, Pp 112788- (2023)
Summary: Perineuronal nets (PNNs) surround specific neurons in the brain and are involved in various forms of plasticity and clinical conditions. However, our understanding of the PNN role in these phenomena is limited by the lack of highly quantitat
Externí odkaz: https://doaj.org/article/281e08c3d41a4e19b35de18cf9af6500
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2
Akademický článek
Chemical Composition and Antimicrobial Activity against the Listeria monocytogenes of Essential Oils from Seven Salvia Species
Autor: Maria Francesca Bozzini, Ylenia Pieracci, Roberta Ascrizzi, Basma Najar, Marco D’Antraccoli, Luca Ciampi, Lorenzo Peruzzi, Barbara Turchi, Francesca Pedonese, Alice Alleva, Guido Flamini, Filippo Fratini
Publikováno v: Foods, Vol 12, Iss 23, p 4235 (2023)
In recent years, essential oils (EOs) have received interest due to their antibacterial properties. Accordingly, the present study aimed to investigate the effectiveness of the EOs obtained from seven species of Salvia on three strains of Listeria mo
Externí odkaz: https://doaj.org/article/71b105a2afac4565b20520d45381e551
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3
Akademický článek
Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport
Autor: Luca Ciampi, Paweł Foszner, Nicola Messina, Michał Staniszewski, Claudio Gennaro, Fabrizio Falchi, Gianluca Serao, Michał Cogiel, Dominik Golba, Agnieszka Szczęsna, Giuseppe Amato
Publikováno v: Sensors, Vol 22, Iss 21, p 8345 (2022)
The automatic detection of violent actions in public places through video analysis is difficult because the employed Artificial Intelligence-based techniques often suffer from generalization problems. Indeed, these algorithms hinge on large quantitie
Externí odkaz: https://doaj.org/article/4bdc3b4a2b1a49ff906f61ea90f1b15b
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5
Unsupervised domain adaptation for video violence detection in the wild
Autor: Luca Ciampi, Carlos Santiago, Joao Costeira, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Publikováno v: IMPROVE 2023-3rd International Conference on Image Processing and Vision Engineering, pp. 37–46, Prague, Czech Republic, 21-23/04/2023
Video violence detection is a subset of human action recognition aiming to detect violent behaviors in trimmed video clips. Current Computer Vision solutions based on Deep Learning approaches provide astonishing results. However, their success relies
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03d948bb44a0fc0e913a092fba051bda
https://openportal.isti.cnr.it/doc?id=people______::b3fec6f6df208064ba21ab0713e835c8
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6
Development of a realistic crowd simulation environment for fine-grained validation of people tracking methods
Autor: Paweł Foszner, Agnieszka Szczęsna, Luca Ciampi, Nicola Messina, Adam Cygan, Bartosz Bizoń, Michał Cogiel, Dominik Golba, Elżbieta Macioszek, Michał Staniszewski
Publikováno v: VISIGRAPP 2023-18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, pp. 222–229, Lisbon, Portugal, 19-21/02/2023
Generally, crowd datasets can be collected or generated from real or synthetic sources. Real data is generated by using infrastructure-based sensors (such as static cameras or other sensors). The use of simulation tools can significantly reduce the t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1bad516d73feca05d2f7e175435fb1d
https://openportal.isti.cnr.it/doc?id=people______::57b47f8dedd4a7d3b701f726696b0b22
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7
Akademický článek
Virtual to Real Adaptation of Pedestrian Detectors
Autor: Luca Ciampi, Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Publikováno v: Sensors, Vol 20, Iss 18, p 5250 (2020)
Pedestrian detection through Computer Vision is a building block for a multitude of applications. Recently, there has been an increasing interest in convolutional neural network-based architectures to execute such a task. One of these supervised netw
Externí odkaz: https://doaj.org/article/a8cdda8d5db1410c8091c3e99dee014f
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8
An embedded toolset for human activity monitoring in critical environments
Autor: Marco Di Benedetto, Fabio Carrara, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Publikováno v: Expert systems with applications 199 (2022). doi:10.1016/j.eswa.2022.117125
info:cnr-pdr/source/autori:Di Benedetto M.; Carrara F.; Ciampi L.; Falchi F.; Gennaro C.; Amato G./titolo:An embedded toolset for human activity monitoring in critical environments/doi:10.1016%2Fj.eswa.2022.117125/rivista:Expert systems with applications/anno:2022/pagina_da:/pagina_a:/intervallo_pagine:/volume:199
In many working and recreational activities, there are scenarios where both individual and collective safety have to be constantly checked and properly signaled, as occurring in dangerous workplaces or during pandemic events like the recent COVID-19
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9f10d4f709a0aa68b9811c5088dac94
http://hdl.handle.net/11568/1142524
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9
A spatio-temporal attentive network for video-based crowd counting
Autor: Marco Avvenuti, Marco Bongiovanni, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina
Publikováno v: ISCC 2022-27th IEEE Symposium on Computers and Communications, Rhodes Island, Greece, 30/06/2022-03/07/2022
Automatic people counting from images has recently drawn attention for urban monitoring in modern Smart Cities due to the ubiquity of surveillance camera networks. Current computer vision techniques rely on deep learning-based algorithms that estimat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2433123fd572b0e214fe3ba23f188c65
https://openportal.isti.cnr.it/doc?id=people______::d16b26965195ca84c23ebee9cc63efde
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10
MOBDrone: a drone video dataset for Man OverBoard Rescue
Autor: Donato Cafarelli, Luca Ciampi, Lucia Vadicamo, Claudio Gennaro, Andrea Berton, Marco Paterni, Chiara Benvenuti, Mirko Passera, Fabrizio Falchi
Publikováno v: ICIAP 2022-21st International Conference on Image Analysis and Processing, pp. 633–644, Lecce, Italia, 23-27/05/2022
info:cnr-pdr/source/autori:Cafarelli D.; Ciampi L.; Vadicamo L.; Gennaro C.; Berton A.; Paterni M.; Benvenuti C.; Passera M.; Falchi F./congresso_nome:ICIAP 2022-21st International Conference on Image Analysis and Processing/congresso_luogo:Lecce, Italia/congresso_data:23-27%2F05%2F2022/anno:2022/pagina_da:633/pagina_a:644/intervallo_pagine:633–644
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064296
Modern Unmanned Aerial Vehicles (UAV) equipped with cameras can play an essential role in speeding up the identification and rescue of people who have fallen overboard, i.e., man overboard (MOB). To this end, Artificial Intelligence techniques can be
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc10dc9253df8520f47d6b19a07dfd95
https://link.springer.com/chapter/10.1007/978-3-031-06430-2_53
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