5 papers
Semantic Slots for Video Object-Centric Learning
Khalil Sabri, Guillaume-Alexandre Bilodeau, Nicolas Saunier +1
Video Object-Centric Learning (OCL) has traditionally focused on refining the encoder architecture to ensure temporal consistency. In this paper, we argue that the primary bottlene…
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…
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…
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…