Unsupervised categorization of heterogeneous text images based on fractals. - Badreddine Khelifi; Nizar Zaghden; Adel M. Alimi; Rémy Mullot (ICPR, 2008)

Text recognition in both ancient and cartographic documents. - Nizar Zaghden; Badreddine Khelifi; Adel M. Alimi; Rémy Mullot (CoRR, 2013)

Categorizing ancient documents. - Nizar Zaghden; Rémy Mullot; Mohamed Adel Alimi (CoRR, 2013)

A proposition of a robust system for historical document images indexation. - Nizar Zaghden; Rémy Mullot; Mohamed Adel Alimi (CoRR, 2013)

An Effective Approach Based on a Subset of Skeleton Joints for Two-Person Interaction Recognition. - Sirine Ammar; Nizar Zaghden; Mahmoud Neji (CIARP, 2018)

Moving Objects Segmentation Based on DeepSphere in Video Surveillance. - Sirine Ammar; Thierry Bouwmans; Nizar Zaghden; Mahmoud Neji (ISVC (2), 2019)

Segmentation and detection of Human Face. - Nizar Zaghden; Sirine Ammar; Mahmoud Neji (ICIST, 2020)

Towards an Effective Approach for Face Recognition with DCGANs Data Augmentation. - Sirine Ammar; Thierry Bouwmans; Nizar Zaghden; Mahmoud Neji (ISVC (1), 2020)

Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance. - Sirine Ammar; Thierry Bouwmans; Nizar Zaghden; Mahmoud Neji (IET Image Process., 2020)

Moving Object Detection Using Hybrid Yolo-v8 with Improved GAN. - Mukaram Safaldin; Nizar Zaghden; Mahmoud Mejdoub (WI/IAT, 2024)

Semantic Analysis System to Recognize Moving Objects by Using a Deep Learning Model. - Emad Ibrahim; Nizar Zaghden; Mahmoud Mejdoub (IEEE Access, 2024)

An Improved YOLOv8 to Detect Moving Objects. - Mukaram Safaldin; Nizar Zaghden; Mahmoud Mejdoub (IEEE Access, 2024)