| 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 | 58 | 2020 |
| 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 | 52 | 2016 |
| 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 | 44 | 2017 |
| 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 | 42 | 2016 |
| 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 | 35 | 2020 |
| 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 | 32 | 2018 |
| 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 | 28 | 2015 |
| 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 | 27 | 2018 |
| 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 | 17 | 2021 |
| 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 | 13 | 2018 |
| 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 | 10 | 2017 |
| Improved hourly prediction of BIPV photovoltaic power building using artificial learning machine: a case study M Dourhmi, K Benlamine, I Abouelaziz, M Zghal, T Masrour, Y Jouane International Conference on Networking, Intelligent Systems and Security …, 2022 | 7 | 2022 |
| Photogrammetry and deep learning for energy production prediction and building-integrated photovoltaics decarbonization I Abouelaziz, Y Jouane Building Simulation 17 (2), 189-205, 2024 | 6 | 2024 |
| 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 | 6 | 2022 |
| 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 | 6 | 2020 |
| 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 | 4 | 2018 |
| 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 | 4 | 2015 |
| 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 | 3 | 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 | 1 | 2019 |
| 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 | 1 | 2013 |
Mohammed El Hassouni,Professor, Computer Science, Mohammed V University in Rabat, MoroccoE-mailová adresa ověřena na: um5.ac.ma
