Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Hassen Drira"'
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::200f33bc7334a78bdc9a3e52e00c0638
https://doi.org/10.5220/0011749500003417
https://doi.org/10.5220/0011749500003417
Publikováno v:
Multimedia Tools and Applications
Multimedia Tools and Applications, Springer Verlag, 2021, ⟨10.1007/s11042-021-10588-7⟩
Multimedia Tools and Applications, Springer Verlag, 2021, ⟨10.1007/s11042-021-10588-7⟩
International audience; Person re-identification from videos taken by multiple cameras from different views is a very challenging problem that has attracted growing interest in last years. In fact, the same person from significant cross-view has diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7d0d95e4118bbce34357fd18fced6fe
https://doi.org/10.1007/s11042-021-10588-7
https://doi.org/10.1007/s11042-021-10588-7
Autor:
Benaben, Frederick, Debar, Hervé, Hassen Drira, Dusserre, Gilles, Jean-Max Dutertre, Francillon, Aurélien, Marc-Oliver Pahl, Pautet, Laurent
La communauté IMT qui porte le colloque Risques et Cyber est en quelque sorte par nature transverse aux écoles des Mines et aux écoles des Télécom, en rassemblant des profils et des approches scientifiques assez différents. C’est donc une th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4abf5a0abb248694c4d973ded4df1f44
Publikováno v:
2021 International Symposium on Networks, Computers and Communications (ISNCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64b2f87d1881dc3f6ae75215acb86ebd
https://doi.org/10.1109/isncc52172.2021.9615632
https://doi.org/10.1109/isncc52172.2021.9615632
Publikováno v:
IEEE Transactions on Affective Computing
IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2019, 10 (4), pp.524-536
IEEE Transactions on Affective Computing, 2019, 10 (4), pp.524-536
IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2019, 10 (4), pp.524-536
IEEE Transactions on Affective Computing, 2019, 10 (4), pp.524-536
In this paper, an effective pipeline to automatic 4D Facial Expression Recognition (4D FER) is proposed. It combines two growing but disparate ideas in Computer Vision -- computing the spatial facial deformations using tools from Riemannian geometry
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75f543d7b766f73f9fb3fc747421ffc8
Publikováno v:
Electronics
Volume 9
Issue 11
Electronics (Switzerland)
Electronics (Switzerland), 2020, 9 (11), pp.1-16. ⟨10.3390/electronics9111888⟩
Electronics, Vol 9, Iss 1888, p 1888 (2020)
Volume 9
Issue 11
Electronics (Switzerland)
Electronics (Switzerland), 2020, 9 (11), pp.1-16. ⟨10.3390/electronics9111888⟩
Electronics, Vol 9, Iss 1888, p 1888 (2020)
Human activity recognition is one of the most challenging and active areas of research in the computer vision domain. However, designing automatic systems that are robust to significant variability due to object combinations and the high complexity o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcd3dc2abdf7e6ecf83b5cae9c6d5068
Publikováno v:
Image and Vision Computing. 70:32-45
Human action recognition in 3D sequences is one of the most challenging and active areas of research in the computer vision domain. However designing automatic systems that are robust to significant variability due to object combinations and high com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a25b0bc068f1810ad600bf21254196ac
https://doi.org/10.1016/j.imavis.2017.12.003
https://doi.org/10.1016/j.imavis.2017.12.003
Publikováno v:
Multimedia Tools and Applications. 76:23981-24008
We propose an efficient method for principal line extraction from the palmprint and geometric framework for analyzing their shapes. This representation, along with the elastic Riemannian metric, seems natural for measuring principal line deformations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a3b907dab86ac6cc5b2a2f42832f8fc
https://doi.org/10.1007/s11042-016-4088-5
https://doi.org/10.1007/s11042-016-4088-5
Publikováno v:
SMC
Despite a great deal of progress in face recognition technologies, current solutions are still vulnerable to spoof attacks. In fact, it is easy to access digital replicas of facial biometric information from readily available photos, videos and 3D ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1e4496a4eac4506d4343ca77d5f03d1
https://doi.org/10.1109/smc.2018.00680
https://doi.org/10.1109/smc.2018.00680
Publikováno v:
IEEE Computer Vision and Pattern Recognition 2018
IEEE Computer Vision and Pattern Recognition 2018, Jun 2018, Salt Lake City, United States
CVPR
IEEE Computer Vision and Pattern Recognition 2018, Jun 2018, Salt Lake City, United States
CVPR
International audience; Suitable shape representations as well as their temporal evolution, termed trajectories, often lie to non-linear mani-folds. This puts an additional constraint (i.e., non-linearity) in using conventional machine learning techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0c15beea387850cd6795dc9871f2835
https://hal.archives-ouvertes.fr/hal-01713295/document
https://hal.archives-ouvertes.fr/hal-01713295/document