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Journal Articles
- 2024
[j3]Mukaram Safaldin
, Nizar Zaghden, Mahmoud Mejdoub:
An Improved YOLOv8 to Detect Moving Objects. IEEE Access 12: 59782-59806 (2024)- [j2]Emad Ibrahim, Nizar Zaghden, Mahmoud Mejdoub:
Semantic Analysis System to Recognize Moving Objects by Using a Deep Learning Model. IEEE Access 12: 80740-80753 (2024) - 2020
- [j1]Sirine Ammar, Thierry Bouwmans, Nizar Zaghden, Mahmoud Neji:
Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance. IET Image Process. 14(8): 1490-1501 (2020)
Conference and Workshop Papers
- 2020
- [c5]Nizar Zaghden, Sirine Ammar, Mahmoud Neji:
Segmentation and detection of Human Face. ICIST 2020: 14:1-14:5 - [c4]Sirine Ammar, Thierry Bouwmans, Nizar Zaghden, Mahmoud Neji:
Towards an Effective Approach for Face Recognition with DCGANs Data Augmentation. ISVC (1) 2020: 463-475 - 2019
- [c3]Sirine Ammar, Thierry Bouwmans, Nizar Zaghden, Mahmoud Neji:
Moving Objects Segmentation Based on DeepSphere in Video Surveillance. ISVC (2) 2019: 307-319 - 2018
- [c2]Sirine Ammar, Nizar Zaghden, Mahmoud Neji:
An Effective Approach Based on a Subset of Skeleton Joints for Two-Person Interaction Recognition. CIARP 2018: 922-929 - 2008
- [c1]Badreddine Khelifi, Nizar Zaghden, Adel M. Alimi, Rémy Mullot:
Unsupervised categorization of heterogeneous text images based on fractals. ICPR 2008: 1-4
Informal and Other Publications
- 2013
- [i3]Nizar Zaghden, Badreddine Khelifi, Adel M. Alimi, Rémy Mullot:
Text recognition in both ancient and cartographic documents. CoRR abs/1308.6309 (2013) - [i2]Nizar Zaghden, Rémy Mullot, Mohamed Adel Alimi:
Categorizing ancient documents. CoRR abs/1308.6311 (2013) - [i1]Nizar Zaghden, Rémy Mullot, Mohamed Adel Alimi:
A proposition of a robust system for historical document images indexation. CoRR abs/1308.6319 (2013)
Coauthor Index
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