Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Boussaid, Haithem"'
Autor:
Djilali, Yasser Abdelaziz Dahou, Narayan, Sanath, Bihan, Eustache Le, Boussaid, Haithem, Almazrouei, Ebtessam, Debbah, Merouane
The Lip Reading Sentences-3 (LRS3) benchmark has primarily been the focus of intense research in visual speech recognition (VSR) during the last few years. As a result, there is an increased risk of overfitting to its excessively used test set, which
Externí odkaz:
http://arxiv.org/abs/2311.14063
Autor:
Djilali, Yasser Abdelaziz Dahou, Narayan, Sanath, Boussaid, Haithem, Almazrouei, Ebtessam, Debbah, Merouane
Visual Speech Recognition (VSR) differs from the common perception tasks as it requires deeper reasoning over the video sequence, even by human experts. Despite the recent advances in VSR, current approaches rely on labeled data to fully train or fin
Externí odkaz:
http://arxiv.org/abs/2308.06112
Autor:
La Barbera, Giammarco, Boussaid, Haithem, Maso, Francesco, Sarnacki, Sabine, Rouet, Laurence, Gori, Pietro, Bloch, Isabelle
Anatomical structures such as blood vessels in contrast-enhanced CT (ceCT) images can be challenging to segment due to the variability in contrast medium diffusion. The combined use of ceCT and contrast-free (CT) CT images can improve the segmentatio
Externí odkaz:
http://arxiv.org/abs/2210.01713
Autor:
La Barbera, Giammarco, Gori, Pietro, Boussaid, Haithem, Belucci, Bruno, Delmonte, Alessandro, Goulin, Jeanne, Sarnacki, Sabine, Rouet, Laurence, Bloch, Isabelle
Publikováno v:
ISBI 2021
Due to a high heterogeneity in pose and size and to a limited number of available data, segmentation of pediatric images is challenging for deep learning methods. In this work, we propose a new CNN architecture that is pose and scale invariant thanks
Externí odkaz:
http://arxiv.org/abs/2107.02655
Autor:
La Barbera, Giammarco, Rouet, Laurence, Boussaid, Haithem, Lubet, Alexis, Kassir, Rani, Sarnacki, Sabine, Gori, Pietro, Bloch, Isabelle
Publikováno v:
In Medical Image Analysis December 2023 90
Autor:
Boussaid, Haithem
Cette thèse explore l’utilisation des modèles de contours déformables pour la segmentation basée sur la forme des images médicales. Nous apportons des contributions sur deux fronts: dans le problème de l’apprentissage statistique, où le mo
Externí odkaz:
http://www.theses.fr/2015ECAP0002/document
Autor:
Boussaid, Haithem, Kokkinos, Iasonas
Publikováno v:
International Conference on Oxide Materials for Electronic Engineering - Fabrication, Properties & Applications (OMEE-2014); 2014, p4058-4065, 8p
Publikováno v:
Energy Minimization Methods in Computer Vision & Pattern Recognition (9783642403941); 2013, p1-11, 11p
Publikováno v:
Health & Medicine Week; 6/14/2024, p8605-8605, 1p
Publikováno v:
International Conference on Oxide Materials for Electronic Engineering - Fabrication, Properties & Applications (OMEE-2014); 2014, p4288-4302, 15p