Ala Mhalla

According to our database, Ala Mhalla authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Domain adaptation framework for personalized human activity recognition models.

Ala Mhalla, Jean-Marie Favreau

Multim. Tools Appl., July, 2024

2023

Wearable IoT Sensor Combining Deep Learning for Enhanced Human Activity Recognition in Indoor and Outdoor Settings.

Ala Mhalla, Jean-Marie Favreau

Proceedings of the Ubiquitous Networking - 9th International Symposium, 2023

2021

Toward Personalized Human Activity Recognition Model with Auto-Supervised Learning Framework.

Ala Mhalla, Jean-Marie Favreau

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2019

An Embedded Computer-Vision System for Multi-Object Detection in Traffic Surveillance.

Ala Mhalla, Thierry Chateau, Sami Gazzah, Najoua Essoukri Ben Amara

IEEE Trans. Intell. Transp. Syst., 2019

Spatio-temporal object detection by deep learning: Video-interlacing to improve multi-object tracking.

Ala Mhalla, Thierry Chateau, Najoua Essoukri Ben Amara

Image Vis. Comput., 2019

Domain Adaptation for Pedestrian DCNN Detector toward a Specific Scene and an Embedded Platform.

Nada Hammami, Ala Mhalla, Alexis Landrault

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Improving Multi Object Tracking-By-Detection Model Using a Temporal Interlaced Encoding and a Specialized Deep Detector.

Ala Mhalla, Thierry Chateau

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

Multi-object detection and tracking in video sequences. (Détection et suivi multi-objets dans des séquences vidéo).

Ala Mhalla

PhD thesis, 2018

2017

SMC faster R-CNN: Toward a scene-specialized multi-object detector.

Ala Mhalla, Thierry Chateau, Houda Maâmatou, Sami Gazzah, Najoua Essoukri Ben Amara

Comput. Vis. Image Underst., 2017

Specialization of a Generic Pedestrian Detector to a Specific Traffic Scene by the Sequential Monte-Carlo Filter and the Faster R-CNN.

Ala Mhalla, Thierry Chateau, Sami Gazzah, Najoua Essoukri Ben Amara

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

2016

Scene-Specific Pedestrian Detector Using Monte Carlo Framework and Faster R-CNN Deep Model: PhD Forum.

Ala Mhalla, Thierry Chateau, Sami Gazzah, Najoua Essoukri Ben Amara

Proceedings of the 10th International Conference on Distributed Smart Camera, 2016

A Faster R-CNN Multi-Object Detector on a Nvidia Jetson TX1 Embedded System: Demo.

Ala Mhalla, Thierry Chateau, Sami Gazzah, Najoua Essoukri Ben Amara

Proceedings of the 10th International Conference on Distributed Smart Camera, 2016

Faster R-CNN Scene Specialization with a Sequential Monte-Carlo Framework.

Ala Mhalla, Houda Maâmatou, Thierry Chateau, Sami Gazzah, Najoua Essoukri Ben Amara

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016