Ala Mhalla

Orcid: 0000-0002-8436-2468

According to our database1, Ala Mhalla authored at least 11 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2021
Toward Personalized Human Activity Recognition Model with Auto-Supervised Learning Framework.
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.
IEEE Trans. Intell. Transp. Syst., 2019

Spatio-temporal object detection by deep learning: Video-interlacing to improve multi-object tracking.
Image Vis. Comput., 2019

Domain Adaptation for Pedestrian DCNN Detector toward a Specific Scene and an Embedded Platform.
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.
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).
PhD thesis, 2018

2017
SMC faster R-CNN: Toward a scene-specialized multi-object detector.
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.
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.
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.
Proceedings of the 10th International Conference on Distributed Smart Camera, 2016

Faster R-CNN Scene Specialization with a Sequential Monte-Carlo Framework.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016


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