Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Farinella, G."'
Autor:
Montulet, Rico, Briassouli, Alexia, Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J., Vezzani, R.
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687984
ICPR Workshops (4)
Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10-15, 2021, Part IV, 5-19
ISSUE=1;STARTPAGE=5;ENDPAGE=19;TITLE=Pattern Recognition. ICPR International Workshops and Challenges
ICPR Workshops (4)
Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10-15, 2021, Part IV, 5-19
ISSUE=1;STARTPAGE=5;ENDPAGE=19;TITLE=Pattern Recognition. ICPR International Workshops and Challenges
Many timely computer vision problems, such as crowd event detection, individual or crowd activity recognition, person detection and re-identification, tracking, pose estimation, segmentation, require pixel-level annotations. This involves significant
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064296
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0714969fef3dd5285df8e3adbdaa9f7b
https://doi.org/10.1007/978-3-031-06430-2_23
https://doi.org/10.1007/978-3-031-06430-2_23
Publikováno v:
Lecture notes in computer science 11134 (2018).
info:cnr-pdr/source/autori:Leo M, Furnari A, Medioni G G, Trived M, Farinella G M./titolo:Deep Learning for Assistive Computer Vision./doi:/rivista:Lecture notes in computer science/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume:11134
info:cnr-pdr/source/autori:Leo M, Furnari A, Medioni G G, Trived M, Farinella G M./titolo:Deep Learning for Assistive Computer Vision./doi:/rivista:Lecture notes in computer science/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume:11134
This paper revises the main advances in assistive computer vision recently fostered by deep learning. To this aim, we rst discuss how the application of deep learning in computer vision has contributed to the development of assistive techinologies, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::6be984b81ab8c6203e2325a744b017d1
http://www.cnr.it/prodotto/i/396473
http://www.cnr.it/prodotto/i/396473
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Summary: A finite element modelling pipeline was adopted to predict femur strength in a retrospective cohort of 100 women. The effects of the imaging protocol and the meshing technique on the ability of the femur strength to classify the fracture and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::19161145f425c9ffc621c4c2596a6da5
http://hdl.handle.net/11585/661763
http://hdl.handle.net/11585/661763
Publikováno v:
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
Publikováno v:
Computer vision and image understanding
148 (2016): 1–2.
info:cnr-pdr/source/autori:Farinella G, Kanade T, Leo M, Medioni G, Trivedi M./titolo:Farinella G, Kanade T, Leo M, Medioni G, Trivedi M. Editorial Special issue on Assistive Computer Vision and Robotics- "Smart Environments and Daily Activity Monitoring ", Computer Vision and Image Understanding Volume 148, July 2016, Pages 1-2/doi:/rivista:Computer vision and image understanding (Print)/anno:2016/pagina_da:1/pagina_a:2/intervallo_pagine:1–2/volume:148
148 (2016): 1–2.
info:cnr-pdr/source/autori:Farinella G, Kanade T, Leo M, Medioni G, Trivedi M./titolo:Farinella G, Kanade T, Leo M, Medioni G, Trivedi M. Editorial Special issue on Assistive Computer Vision and Robotics- "Smart Environments and Daily Activity Monitoring ", Computer Vision and Image Understanding Volume 148, July 2016, Pages 1-2/doi:/rivista:Computer vision and image understanding (Print)/anno:2016/pagina_da:1/pagina_a:2/intervallo_pagine:1–2/volume:148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::8803e36816c7cd938afef5979a7e0872
http://www.sciencedirect.com/science/article/pii/S1077314216300571
http://www.sciencedirect.com/science/article/pii/S1077314216300571