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Abouelaziz Ilyass
Abouelaziz Ilyass
PhD in computer vision
Adresse e-mail validée de isen-ouest.yncrea.fr - Page d'accueil
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Année
No-reference mesh visual quality assessment via ensemble of convolutional neural networks and compact multi-linear pooling
I Abouelaziz, A Chetouani, M El Hassouni, LJ Latecki, H Cherifi
Pattern Recognition 100, 107174, 2020
292020
No-reference 3d mesh quality assessment based on dihedral angles model and support vector regression
I Abouelaziz, M El Hassouni, H Cherifi
Image and Signal Processing: 7th International Conference, ICISP 2016, Trois …, 2016
252016
Convolutional neural network for blind mesh visual quality assessment using 3d visual saliency
I Abouelaziz, A Chetouani, M El Hassouni, LJ Latecki, H Cherifi
2018 25th IEEE International Conference on Image Processing (ICIP), 3533-3537, 2018
212018
3D visual saliency and convolutional neural network for blind mesh quality assessment
I Abouelaziz, A Chetouani, M El Hassouni, LJ Latecki, H Cherifi
Neural Computing and Applications 32, 16589-16603, 2020
192020
A convolutional neural network framework for blind mesh visual quality assessment
I Abouelaziz, M El Hassouni, H Cherifi
2017 IEEE International Conference on Image Processing (ICIP), 755-759, 2017
192017
Blind 3D mesh visual quality assessment using support vector regression
I Abouelaziz, M El Hassouni, H Cherifi
Multimedia Tools and Applications 77, 24365-24386, 2018
182018
A curvature based method for blind mesh visual quality assessment using a general regression neural network
I Abouelaziz, M El Hassouni, H Cherifi
2016 12th International Conference on Signal-Image Technology & Internet …, 2016
182016
Reduced reference 3D mesh quality assessment based on statistical models
I Abouelaziz, M Omari, M El Hassouni, H Cherifi
2015 11th International Conference on Signal-Image Technology & Internet …, 2015
182015
Mesh visual quality assessment metrics: A comparison study
I Abouelaziz, A Chetouani, M El Hassouni, H Cherifi
2017 13th International Conference on Signal-Image Technology & Internet …, 2017
72017
A blind mesh visual quality assessment method based on convolutional neural network
I Abouelaziz, A Chetouani, M El Hassouni, H Cherifi
Electronic Imaging 30, 1-5, 2018
52018
Learning graph convolutional network for blind mesh visual quality assessment
I Abouelaziz, A Chetouani, M El Hassouni, H Cherifi, LJ Latecki
IEEE Access 9, 108200-108211, 2021
42021
New models of visual saliency: Contourlet transform based model and hybrid model
I Abouelaziz, M El Hassouni
2015 Intelligent Systems and Computer Vision (ISCV), 1-5, 2015
42015
Combination of handcrafted and deep learning-based features for 3d mesh quality assessment
I Abouelaziz, A Chetouani, M El Hassouni, LJ Latecki, H Cherifi
2020 IEEE International Conference on Image Processing (ICIP), 171-175, 2020
22020
Reduced reference mesh visual quality assessment based on convolutional neural network
I Abouelaziz, A Chetouani, M El Hassouni, H Cherifi
2018 14th International Conference on Signal-Image Technology & Internet …, 2018
22018
A new approach for removing point cloud outliers using box plot
H Benallal, Y Mourchid, I Abouelaziz, A Alfalou, H Tairi, J Riffi, ...
Pattern recognition and tracking XXXIII 12101, 63-69, 2022
12022
Évaluation de la qualité visuelle des objets3D
I ABOUELAZIZ, M EL HASSOUNI
Projet de fin d’études. LRIT-CNRST URAC29, Université Mohammed V Rabat, 2013
12013
A new approach for removing point cloud outliers using the standard score
H Benallal, I Abouelaziz, Y Mourchid, A Al Falou, H Tairi, J Riffi, ...
Pattern Recognition and Tracking XXXIII 12101, 56-62, 2022
2022
No-Reference Mesh Visual Quality Assessment Using Graph-Based Deep Learning
I Abouelaziz, A Chetouani, M El Hassouni, H Cherifi
2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP …, 2021
2021
Mesh Visual Quality based on the combination of convolutional neural networks
I Abouelaziz, A Chetouani, M El Hassouni, LJ Latecki, H Cherifi
2019 Ninth International Conference on Image Processing Theory, Tools and …, 2019
2019
Évaluation de la qualité visuelle des maillages 3D en utilisant un réseau neuronal convolutif et la saillance visuelle
I Abouelaziz, A Chetouani, M El Hassouni, H Cherifi, U LRIT-CNRST, ...
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