Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Hazem Wannous"'
Autor:
Victor Delvigne, Noé Tits, Luca La Fisca, Nathan Hubens, Antoine Maiorca, Hazem Wannous, Thierry Dutoit, Jean-Philippe Vandeborre
Publikováno v:
Informatics, Vol 9, Iss 1, p 26 (2022)
Visual attention estimation is an active field of research at the crossroads of different disciplines: computer vision, deep learning, and medicine. One of the most common approaches to estimate a saliency map representing attention is based on the o
Externí odkaz:
https://doaj.org/article/0bd2e5ee06ca40e19823eefaa736d5b3
Publikováno v:
2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG).
Autor:
Arij Zouaoui, Ankur Mahtani, Mohamed Amine Hadded, Sébastien Ambellouis, Jacques Boonaert, Hazem Wannous
Publikováno v:
2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS).
Publikováno v:
International Conference on Content-based Multimedia Indexing.
Publikováno v:
Pattern Recognition and Artificial Intelligence Third International Conference, ICPRAI 2022
ICPRAI 2022, International Conference on Pattern Recognition and Artificial Intelligence
ICPRAI 2022, International Conference on Pattern Recognition and Artificial Intelligence, Jun 2022, Paris, France. pp185-197, ⟨10.1007/978-3-031-09037-0_16⟩
Pattern Recognition and Artificial Intelligence ISBN: 9783031090363
ICPRAI 2022, International Conference on Pattern Recognition and Artificial Intelligence
ICPRAI 2022, International Conference on Pattern Recognition and Artificial Intelligence, Jun 2022, Paris, France. pp185-197, ⟨10.1007/978-3-031-09037-0_16⟩
Pattern Recognition and Artificial Intelligence ISBN: 9783031090363
ICPRAI 2022, International Conference on Pattern Recognition and Artificial Intelligence, Paris, FRANCE, 01-/06/2022 - 03/06/2022; One of the key factors in achieving an autonomous vehicle is understanding and modeling the driving environment. This s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78fca362483f720e4556f6e9de6dded4
https://hal.science/hal-03875603/file/tex00006036.pdf
https://hal.science/hal-03875603/file/tex00006036.pdf
Publikováno v:
European Journal of Mechanics - A/Solids. 99:104949
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology, 2022, ⟨10.1109/TCSVT.2021.3061719⟩
IEEE Transactions on Circuits and Systems for Video Technology, 2022, ⟨10.1109/TCSVT.2021.3061719⟩
International audience; Attention Deficit Hyperactivity Disorder (ADHD) is the most prevalent neurodevelopmental disorder among children. It affects patients’ lives in many ways: inattention, difficulty with stimuli inhibition or motor function reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d00dec9449237a8929e2903ae05d692
https://hal.science/hal-03555665/document
https://hal.science/hal-03555665/document
Publikováno v:
CBMI
2021 International Conference on Content-Based Multimedia Indexing (CBMI)
2021 International Conference on Content-Based Multimedia Indexing (CBMI), Jun 2021, Lille, France. pp.1-6, ⟨10.1109/CBMI50038.2021.9461895⟩
2021 International Conference on Content-Based Multimedia Indexing (CBMI)
2021 International Conference on Content-Based Multimedia Indexing (CBMI), Jun 2021, Lille, France. pp.1-6, ⟨10.1109/CBMI50038.2021.9461895⟩
Eye-gaze information is used in a variety of user platforms, such as driver monitoring systems and head-mounted interfaces. In order to estimate human eye-gaze, many solutions have been proposed, using different devices and techniques. However, achie
Publikováno v:
ICPR
25th International Conference on Pattern Recognition (ICPR 2020)
25th International Conference on Pattern Recognition (ICPR 2020), Jan 2021, Milan (en ligne), Italy. pp.3513-3519, ⟨10.1109/ICPR48806.2021.9412983⟩
25th International Conference on Pattern Recognition (ICPR 2020)
25th International Conference on Pattern Recognition (ICPR 2020), Jan 2021, Milan (en ligne), Italy. pp.3513-3519, ⟨10.1109/ICPR48806.2021.9412983⟩
International audience; Action recognition in continuous video streams is a growing field since the past few years. Deep learning techniques and in particular Convolutional Neural Networks (CNNs) achieved good results in this topic. However, intrinsi