6 papers
Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau +1
Understanding and monitoring human behavior in metro stations play an important role in supporting suicide prevention efforts, where early identification of high-risk situations ca…
PMMA: The Polytechnique Montreal Mobility Aids Dataset
Qingwu Liu, Nicolas Saunier, Guillaume-Alexandre Bilodeau
This study introduces a new object detection dataset of pedestrians using mobility aids, named PMMA. The dataset was collected in an outdoor environment, where volunteers used whee…
Detection of Autonomous Shuttles in Urban Traffic Images Using Adaptive Residual Context
Mohamed Aziz Younes, Nicolas Saunier, Guillaume-Alexandre Bilodeau
The progressive automation of transport promises to enhance safety and sustainability through shared mobility. Like other vehicles and road users, and even more so for such a new t…
Dual-Stream Attention with Multi-Modal Queries for Object Detection in Transportation Applications
Noreen Anwar, Guillaume-Alexandre Bilodeau, Wassim Bouachir
Transformer-based object detectors often struggle with occlusions, fine-grained localization, and computational inefficiency caused by fixed queries and dense attention. We propose…
InceptoFormer: A Multi-Signal Neural Framework for Parkinson's Disease Severity Evaluation from Gait
Safwen Naimi, Arij Said, Wassim Bouachir +1
We present InceptoFormer, a multi-signal neural framework designed for Parkinson's Disease (PD) severity evaluation via gait dynamics analysis. Our architecture introduces a 1D ada…
How good are deep learning methods for automated road safety analysis using video data? An experimental study
Qingwu Liu, Nicolas Saunier, Guillaume-Alexandre Bilodeau
Image-based multi-object detection (MOD) and multi-object tracking (MOT) are advancing at a fast pace. A variety of 2D and 3D MOD and MOT methods have been developed for monocular…