| An embedded computer-vision system for multi-object detection in traffic surveillance A Mhalla, T Chateau, S Gazzah, NEB Amara IEEE Transactions on Intelligent Transportation Systems 20 (11), 4006-4018, 2018 | 109 | 2018 |
| SMC faster R-CNN: Toward a scene-specialized multi-object detector A Mhalla, T Chateau, H Maamatou, S Gazzah, NEB Amara Computer Vision and Image Understanding 164, 3-15, 2017 | 33 | 2017 |
| Spatio-temporal object detection by deep learning: Video-interlacing to improve multi-object tracking A Mhalla, T Chateau, NEB Amara Image and Vision Computing 88, 120-131, 2019 | 31 | 2019 |
| Faster R-CNN scene specialization with a sequential Monte-Carlo framework A Mhalla, H Maamatou, T Chateau, S Gazzah, NEB Amara 2016 International Conference on Digital Image Computing: Techniques and …, 2016 | 19 | 2016 |
| Vehicle detection on a video traffic scene: Review and new perspectives S Gazzah, A Mhalla, NEB Amara 2016 7th International Conference on Sciences of Electronics, Technologies …, 2016 | 10 | 2016 |
| Scene-specific pedestrian detector using monte carlo framework and faster r-cnn deep model: Phd forum A Mhalla, T Chateau, S Gazzah, NE Ben Amara Proceedings of the 10th International Conference on Distributed Smart Camera …, 2016 | 10 | 2016 |
| A faster r-cnn multi-object detector on a nvidia jetson tx1 embedded system A Mhalla, T Chateau, S Gazzah, NE Ben Amara Proceedings of the 10th International Conference on Distributed Smart Camera …, 2016 | 7 | 2016 |
| Toward personalized human activity recognition model with auto-supervised learning framework A Mhalla, JM Favreau 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 3 | 2021 |
| Specialization of a generic pedestrian detector to a specific traffic scene by the sequential monte-carlo filter and the faster r-cnn A Mhalla, T Chateau, S Gazzah, NEB Amara International Conference on Computer Vision Theory and Applications 5, 17-23, 2017 | 3 | 2017 |
| Domain adaptation framework for personalized human activity recognition models A Mhalla, JM Favreau Multimedia Tools and Applications, 1-23, 2024 | 2 | 2024 |
| Improving multi object tracking-by-detection model using a temporal interlaced encoding and a specialized deep detector A Mhalla, T Chateau 2019 IEEE Intelligent Vehicles Symposium (IV), 510-516, 2019 | 2 | 2019 |
| Domain Adaptation for Pedestrian DCNN Detector toward a Specific Scene and an Embedded Platform NHAMA Landrault. 14th International Conference on Computer Vision Theory and Applications 5 …, 2019 | 1* | 2019 |
| Wearable IoT Sensor Combining Deep Learning for Enhanced Human Activity Recognition in Indoor and Outdoor Settings A Mhalla, JM Favreau International Symposium on Ubiquitous Networking, 43-53, 2023 | | 2023 |
| Détection et Reconnaissance Automatique et Egocentrique des Tâches dans des Scènes de Regard M Lutz, C Belletier, P Chausse, M Izaute, A Mhalla, D Navarro, C Teulière | | 2023 |
| Multi-object detection and tracking in video sequences A Mhalla Université Clermont Auvergne [2017-2020]; Université de Sousse (Tunisie), 2018 | | 2018 |
| Détection spatio-temporelle d’objets par apprentissage profond : l’entrelacement vidéo pour améliorer le suivi multi-objets SGNEBA Ala Mhalla, Thierry Chateau, Axel Delsol RFIAP 2018, 2018 | | 2018 |
Essoukri Ben Amara NajouaProfessor at National Engineering School of Sousse (ENISo), University of Sousse- Head of LATISDirección de correo verificada de eniso.rnu.tn