Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Andrea D'Eusanio"'
Autor:
Andrea D’Eusanio, Alessandro Simoni, Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara
Publikováno v:
Informatics, Vol 7, Iss 3, p 31 (2020)
The recent spread of low-cost and high-quality RGB-D and infrared sensors has supported the development of Natural User Interfaces (NUIs) in which the interaction is carried without the use of physical devices such as keyboards and mouse. In this pap
Externí odkaz:
https://doaj.org/article/c6da4d4992c3450daca32d6b7b28be03
Autor:
Andrea D’Eusanio, Alessandro Simoni, Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara
Publikováno v:
Pattern Recognition Letters.
Autor:
Marco Emporio, Ariel Caputo, Andrea Giachetti, Marco Cristani, Guido Borghi, Andrea D’Eusanio, Minh-Quan Le, Hai-Dang Nguyen, Minh-Triet Tran, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz
This paper presents the outcomes of a contest organized to evaluate methods for the online recognition of heterogeneous gestures from sequences of 3D hand poses. The task is the detection of gestures belonging to a dictionary of 16 classes characteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1b4e233b7cd9fbc1706e78ea6f2931e
https://hdl.handle.net/11562/1085506
https://hdl.handle.net/11562/1085506
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f866aa42cd44f6806ecf9241540bcd
https://hdl.handle.net/11380/1286859
https://hdl.handle.net/11380/1286859
Autor:
Giuseppe Scaglione, Andrea D'Eusanio, Stefano Pini, Guido Borghi, Eugenio Fedeli, Riccardo Gasparini, Simone Calderara, Rita Cucchiara
Publikováno v:
ICPR
The ability to detect, localize and classify objects that are anomalies is a challenging task in the computer vision community. In this paper, we tackle these tasks developing a framework to automatically inspect the railway during the night. Specifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21c5a4b3efbcfc9eec9927c78fbfe622
https://hdl.handle.net/11585/859633
https://hdl.handle.net/11585/859633
Publikováno v:
VISIGRAPP (5: VISAPP)
In this paper, we present a novel multi-task framework which aims to improve the performance of car model classification leveraging visual features and pose information extracted from single RGB images. In particular, we merge the visual features obt
Publikováno v:
IJCB
Università degli studi di Modena e Reggio Emilia-IRIS
Università degli studi di Modena e Reggio Emilia-IRIS
The recent spread of depth sensors has enabled new methods to automatically estimate anthropometric measurements, in place of manual procedures or expensive 3D scanners. Generally, the use of depth data is limited by the lack of depth-based public da
Autor:
Rita Cucchiara, Andrea D'Eusanio, Stefano Pini, Alessandro Simoni, Guido Borghi, Roberto Vezzani
Publikováno v:
Informatics, Vol 7, Iss 31, p 31 (2020)
Informatics
Volume 7
Issue 3
Informatics
Volume 7
Issue 3
The recent spread of low-cost and high-quality RGB-D and infrared sensors has supported the development of Natural User Interfaces (NUIs) in which the interaction is carried without the use of physical devices such as keyboards and mouse. In this pap
Autor:
Rita Cucchiara, Stefano Pini, Alessandro Simoni, Roberto Vezzani, Andrea D'Eusanio, Guido Borghi
Publikováno v:
3DV
Transformer-based neural networks represent a successful self-attention mechanism that achieves state-of-the-art results in language understanding and sequence modeling. However, their application to visual data and, in particular, to the dynamic han
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95c60ecde21627866ab10b662be6b736
https://hdl.handle.net/11380/1212263
https://hdl.handle.net/11380/1212263
Autor:
Minh-Quan Le, Joseph J. LaViola, Andrea Giachetti, Andrea D'Eusanio, Hai-Dang Nguyen, Stefano Pini, Minh-Triet Tran, Simone Soso, Deborah Pintani, Marina Monti, Katia Lupinetti, Rita Cucchiara, Franca Giannini, Andrea Ranieri, Alessandro Simoni, Ariel Caputo, Roberto Vezzani, Mehran Maghoumi, Guido Borghi
Publikováno v:
Computers & graphics 99 (2021): 201–211. doi:10.1016/j.cag.2021.07.007
info:cnr-pdr/source/autori:A. Caputo, A. Giachetti, S. Soso, D. Pintani, A. D'Eusanio, S. Pini, G. Borghi, A. Simoni, R. Vezzani, R. Cucchiara, A. Ranieri, F. Giannini, K. Lupinetti, M. Monti, M. Maghoumi, J.J. LaViola Jr, M.-Q. Le, H.-D. Nguyen, M.-T. Tran/titolo:SHREC 2021: Skeleton-based hand gesture recognition in the wild/doi:10.1016%2Fj.cag.2021.07.007/rivista:Computers & graphics/anno:2021/pagina_da:201/pagina_a:211/intervallo_pagine:201–211/volume:99
info:cnr-pdr/source/autori:A. Caputo, A. Giachetti, S. Soso, D. Pintani, A. D'Eusanio, S. Pini, G. Borghi, A. Simoni, R. Vezzani, R. Cucchiara, A. Ranieri, F. Giannini, K. Lupinetti, M. Monti, M. Maghoumi, J.J. LaViola Jr, M.-Q. Le, H.-D. Nguyen, M.-T. Tran/titolo:SHREC 2021: Skeleton-based hand gesture recognition in the wild/doi:10.1016%2Fj.cag.2021.07.007/rivista:Computers & graphics/anno:2021/pagina_da:201/pagina_a:211/intervallo_pagine:201–211/volume:99
Gesture recognition is a fundamental tool to enable novel interaction paradigms in a variety of application scenarios like Mixed Reality environments, touchless public kiosks, entertainment systems, and more. Recognition of hand gestures can be nowad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fe4abdf624a7ab3cfb7b41365066496
http://hdl.handle.net/11562/1052336
http://hdl.handle.net/11562/1052336