Zobrazeno 1 - 10
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pro vyhledávání: '"Briassouli, Alexia"'
Autor:
Sweere, Sam F., Valtchanov, Ivan, Lieu, Maggie, Vojtekova, Antonia, Verdugo, Eva, Santos-Lleo, Maria, Pacaud, Florian, Briassouli, Alexia, Pérez, Daniel Cámpora
The field of artificial intelligence based image enhancement has been rapidly evolving over the last few years and is able to produce impressive results on non-astronomical images. In this work we present the first application of Machine Learning bas
Externí odkaz:
http://arxiv.org/abs/2205.01152
Autor:
Karakostas, Anastasios, Briassouli, Alexia, Avgerinakis, Konstantinos, Kompatsiaris, Ioannis, Tsolaki, Magda
The objective of Dem@Care is the development of a complete system providing personal health services to people with dementia, as well as medical professionals and caregivers, by using a multitude of sensors, for context-aware, multi-parametric monito
Externí odkaz:
http://arxiv.org/abs/1701.01142
Akademický článek
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Autor:
Kaltsa, Vagia, Avgerinakis, Konstantinos, Briassouli, Alexia, Kompatsiaris, Ioannis, Strintzis, Michael G.
Publikováno v:
In Computers in Industry June 2018 98:1-13
Publikováno v:
In Computer Vision and Image Understanding April 2018 169:28-39
Publikováno v:
In Computer Vision and Image Understanding July 2017 160:73-86
Publikováno v:
In Signal Processing: Image Communication April 2017 53:1-12
Publikováno v:
In Computer Vision and Image Understanding March 2016 144:46-61
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd4d0669fb513d40190b6bad96af7f02
https://doi.org/10.1007/978-3-030-68799-1_1
https://doi.org/10.1007/978-3-030-68799-1_1
Publikováno v:
15. International Conference on Computer Vision and Image Processing-Paris | World Academy of Science, Engineering and Technology
In the field of machine learning, it is common practice to use benchmark datasets to prove the working of a method. The domain of action recognition in videos often uses datasets like Kinet-ics, Something-Something, UCF-101 and HMDB-51 to report resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::b97e258c82bd188f42cbfb204626994a
https://cris.maastrichtuniversity.nl/en/publications/1fb3929a-ec61-45dc-9c66-88823fe531a1
https://cris.maastrichtuniversity.nl/en/publications/1fb3929a-ec61-45dc-9c66-88823fe531a1