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Ouardirhi Zainab

Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

ORCID
0000-0001-8302-7273
Main Referenced Co-authors
MAHMOUDI, Sidi  (4)
Zbakh, Mostapha (3)
Ait Abdelali, Hamd  (1)
AMEL, Otmane  (1)
Benjelloun, Mohammed  (1)
Main Referenced Keywords
Object Detection (2); Computer Vision (1); Deep Learning (1); Deep Learning, Image processing, CNN, YOLO, Zone of interest, Detection, Recognition, Voting system, License Plates (1); Density-Aware (1);
Main Referenced Disciplines
Computer science (4)

Publications (total 4)

The most downloaded
207 downloads
Ouardirhi, Z.* , Mahmoudi, S., Zbakh, M., El Ghmary, M., Benjelloun, M., Ait Abdelali, H., & Derrouz, H. (2022). An Efficient real-time Moroccan automatic license plate recognition system based on the YOLO object detector. In An Efficient real-time Moroccan automatic license plate recognition system based on the YOLO object detector. Springer. https://hdl.handle.net/20.500.12907/45005

Ouardirhi, Z.* , Amel, O., Zbakh, M., & Mahmoudi, S. (28 February 2024). FuDensityNet: Fusion-Based Density-Enhanced Network for Occlusion Handling [Paper presentation]. VISAPP 2024, Rome, Italy.

Ouardirhi, Z., Mahmoudi, S., & Zbakh, M. (2023). A Novel Approach for Recognizing Occluded Objects Using Feature Pyramid Network Based on Occlusion Rate Analysis. 2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech). doi:10.1109/cloudtech58737.2023.10366103
Peer reviewed

Ouardirhi, Z., Mahmoudi, S., & Zbakh, M. (2023). Artificial Intelligence and Deep Learning for 2D/3D object detection with the presence of occlusion [Paper presentation]. INFORTECH Day 2023, Mons, Belgium.

Ouardirhi, Z.* , Mahmoudi, S., Zbakh, M., El Ghmary, M., Benjelloun, M., Ait Abdelali, H., & Derrouz, H. (2022). An Efficient real-time Moroccan automatic license plate recognition system based on the YOLO object detector. In An Efficient real-time Moroccan automatic license plate recognition system based on the YOLO object detector. Springer.
Peer reviewed

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