4 citations · 7 across the 15 of their papers we have counts for
15 papers · 1 filter
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…
ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau
To extract robust and generalizable skeleton action recognition features, large amounts of well-curated data are typically required, which is a challenging task hindered by annotat…
CenterDisks: Real-time instance segmentation with disk covering
Katia Jodogne-Del Litto, Guillaume-Alexandre Bilodeau
Increasing the accuracy of instance segmentation methods is often done at the expense of speed. Using coarser representations, we can reduce the number of parameters and thus obtai…
STF: Spatio-Temporal Fusion Module for Improving Video Object Detection
Noreen Anwar, Guillaume-Alexandre Bilodeau, Wassim Bouachir
Consecutive frames in a video contain redundancy, but they may also contain relevant complementary information for the detection task. The objective of our work is to leverage this…
Detection of Micromobility Vehicles in Urban Traffic Videos
Khalil Sabri, Célia Djilali, Guillaume-Alexandre Bilodeau +2
Urban traffic environments present unique challenges for object detection, particularly with the increasing presence of micromobility vehicles like e-scooters and bikes. To address…
STDiff: Spatio-temporal Diffusion for Continuous Stochastic Video Prediction
Xi Ye, Guillaume-Alexandre Bilodeau
Predicting future frames of a video is challenging because it is difficult to learn the uncertainty of the underlying factors influencing their contents. In this paper, we propose…
1D-Convolutional transformer for Parkinson disease diagnosis from gait
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau
This paper presents an efficient deep neural network model for diagnosing Parkinson's disease from gait. More specifically, we introduce a hybrid ConvNet-Transformer architecture t…
Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images
Safwen Naimi, Olfa Koubaa, Wassim Bouachir +5
Lichens are symbiotic organisms composed of fungi, algae, and/or cyanobacteria that thrive in a variety of environments. They play important roles in carbon and nitrogen cycling, a…
HCT: Hybrid Convnet-Transformer for Parkinson's disease detection and severity prediction from gait
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau
In this paper, we propose a novel deep learning method based on a new Hybrid ConvNet-Transformer architecture to detect and stage Parkinson's disease (PD) from gait data. We adopt…
Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection
Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier
In this paper, we propose to combine detections from background subtraction and from a multiclass object detector for multiple object tracking (MOT) in urban traffic scenes. These…