| A multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysis S Bourbia, A Karine, A Chetouani, M El Hassoun 2021 IEEE International Conference on Image Processing (ICIP), 1434-1438, 2021 | 9 | 2021 |
| No-reference 3D point cloud quality assessment using multi-view projection and deep convolutional neural network S Bourbia, A Karine, A Chetouani, M El Hassouni, M Jridi IEEE Access 11, 26759-26772, 2023 | 5 | 2023 |
| Blind Projection-based 3D Point Cloud Quality Assessment Method using a Convolutional Neural Network. S Bourbia, A Karine, A Chetouani, M El Hassouni VISIGRAPP (4: VISAPP), 518-525, 2022 | 5 | 2022 |
| No-reference point clouds quality assessment using transformer and visual saliency S Bourbia, A Karine, A Chetouani, M El Hassouni, M Jridi Proceedings of the 2nd Workshop on Quality of Experience in Visual …, 2022 | 3 | 2022 |
| Deep Learning Multi-View Fusion for Blind 3D Point Cloud Quality Assessment S Bourbia, A Karine, A Chetouani, M El Hassouni, M Jridi Affinity Workshop NAML (North Africans in Machine Learning Workshop) of …, 2023 | | 2023 |
| Multi-stream Point-based model for Blind Geometric Point Cloud Quality Assessment S Bourbia, A Karine, A Chetouani, M El Hassouni, M Jridi Proceedings of the 20th International Conference on Content-based Multimedia …, 2023 | | 2023 |
| Évaluation de la qualité de nuages de points 3D sans référence en utilisant un transformer et la saillance visuelle S Bourbia, A Karine, A Chetouani, M El Hassouni, M Jridi Colloque Francophone de Traitement du Signal et des Images (GRETSI) 2023, 2023 | | 2023 |
Mohammed El Hassouni,Full Professor, Computer Science, Mohammed V University in Rabat, MoroccoAdresse e-mail validée de um5.ac.ma
