Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Anxhelo, Diko"'
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 3771-3780
Deepfake detection aims to contrast the spread of deep-generated media that undermines trust in online content. While existing methods focus on large and complex models, the need for real-time detection demands greater efficiency. With this in mind,
Externí odkaz:
http://arxiv.org/abs/2406.04932
Autor:
Danilo Avola, Irene Cannistraci, Marco Cascio, Luigi Cinque, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Romeo Lanzino, Maurizio Mancini, Alessio Mecca, Daniele Pannone
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4110 (2022)
The last two decades have seen an incessant growth in the use of Unmanned Aerial Vehicles (UAVs) equipped with HD cameras for developing aerial vision-based systems to support civilian and military tasks, including land monitoring, change detection,
Externí odkaz:
https://doaj.org/article/74783ab336fb421598e685eedc35509b
Autor:
Santilli, Massimiliano Mangone, Anxhelo Diko, Luca Giuliani, Francesco Agostini, Marco Paoloni, Andrea Bernetti, Gabriele Santilli, Marco Conti, Alessio Savina, Giovanni Iudicelli, Carlo Ottonello, Valter
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 20; Issue 12; Pages: 6059
The knee is an essential part of our body, and identifying its injuries is crucial since it can significantly affect quality of life. To date, the preferred way of evaluating knee injuries is through magnetic resonance imaging (MRI), which is an effe
Autor:
Danilo Avola, Luigi Cinque, Angelo Di Mambro, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Publikováno v:
Information, Vol 13, Iss 1, p 2 (2021)
In recent years, small-scale Unmanned Aerial Vehicles (UAVs) have been used in many video surveillance applications, such as vehicle tracking, border control, dangerous object detection, and many others. Anomaly detection can represent a prerequisite
Externí odkaz:
https://doaj.org/article/0f123e680dc34b00b108660b71a65289
Autor:
Danilo Avola, Luigi Cinque, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Alessio Mecca, Daniele Pannone, Claudio Piciarelli
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1670 (2021)
Tracking objects across multiple video frames is a challenging task due to several difficult issues such as occlusions, background clutter, lighting as well as object and camera view-point variations, which directly affect the object detection. These
Externí odkaz:
https://doaj.org/article/ab78694468e540bd9bace0bb6c9b5484
Autor:
Danilo Avola, Luigi Cinque, Angelo Di Mambro, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Publikováno v:
Information, Vol 13, Iss 2, p 2 (2022)
Information; Volume 13; Issue 1; Pages: 2
Information; Volume 13; Issue 1; Pages: 2
In recent years, small-scale Unmanned Aerial Vehicles (UAVs) have been used in many video surveillance applications, such as vehicle tracking, border control, dangerous object detection, and many others. Anomaly detection can represent a prerequisite
Autor:
Valter Santilli, Massimiliano Mangone, Anxhelo Diko, Federica Alviti, Andrea Bernetti, Francesco Agostini, Laura Palagi, Marila Servidio, Marco Paoloni, Michela Goffredo, Francesco Infarinato, Sanaz Pournajaf, Marco Franceschini, Massimo Fini, Carlo Damiani
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 20; Issue 8; Pages: 5575
Advance assessment of the potential functional improvement of patients undergoing a rehabilitation program is crucial in developing precision medicine tools and patient-oriented rehabilitation programs, as well as in better allocating resources in ho
Autor:
Franck Pérot, Sauro Succi, Fabio Sterpone, Simone Melchionna, Anxhelo Diko, Manash Pratim Borthakur
Publikováno v:
Journal of computational science
Journal of computational science, Elsevier, 2021, 54, pp.101411. ⟨10.1016/j.jocs.2021.101411⟩
Journal of computational science, Elsevier, 2021, 54, pp.101411. ⟨10.1016/j.jocs.2021.101411⟩
We present a numerical investigation of the airflow dynamics and particle transport through an averaged human nasal cavity. The effect of particle size and breathing rate on the deposition patterns are explored. The simulations reveal that smaller pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5976d860a38ef84050b1fbe6f9ac792b
https://hal.archives-ouvertes.fr/hal-03364613/file/NasalPaper_ProperFormat.pdf
https://hal.archives-ouvertes.fr/hal-03364613/file/NasalPaper_ProperFormat.pdf
Autor:
Claudio Piciarelli, Alessio Fagioli, Anxhelo Diko, Luigi Cinque, Danilo Avola, Alessio Mecca, Gian Luca Foresti, Daniele Pannone
Publikováno v:
Remote Sensing, Vol 13, Iss 1670, p 1670 (2021)
Remote Sensing; Volume 13; Issue 9; Pages: 1670
Remote Sensing; Volume 13; Issue 9; Pages: 1670
Tracking objects across multiple video frames is a challenging task due to several difficult issues such as occlusions, background clutter, lighting as well as object and camera view-point variations, which directly affect the object detection. These