22 citations · 28 across the 5 of their papers we have counts for
5 papers
Learning Data Association for Multi-Object Tracking using Only Coordinates
Mehdi Miah, Guillaume-Alexandre Bilodeau, Nicolas Saunier
We propose a novel Transformer-based module to address the data association problem for multi-object tracking. From detections obtained by a pretrained detector, this module uses o…
Transformers for 1D Signals in Parkinson's Disease Detection from Gait
Duc Minh Dimitri Nguyen, Mehdi Miah, Guillaume-Alexandre Bilodeau +1
This paper focuses on the detection of Parkinson's disease based on the analysis of a patient's gait. The growing popularity and success of Transformer networks in natural language…
Multi-Object Tracking and Segmentation with a Space-Time Memory Network
Mehdi Miah, Guillaume-Alexandre Bilodeau, Nicolas Saunier
We propose a method for multi-object tracking and segmentation based on a novel memory-based mechanism to associate tracklets. The proposed tracker, MeNToS, addresses particularly…
MeNToS: Tracklets Association with a Space-Time Memory Network
Mehdi Miah, Guillaume-Alexandre Bilodeau, Nicolas Saunier
We propose a method for multi-object tracking and segmentation (MOTS) that does not require fine-tuning or per benchmark hyperparameter selection. The proposed method addresses par…
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
Mehdi Miah, Justine Pepin, Nicolas Saunier +1
This paper addresses the problem of selecting appearance features for multiple object tracking (MOT) in urban scenes. Over the years, a large number of features has been used for M…