no code implementations • 12 Feb 2024 • Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker
Recent breakthroughs in large language models (LLMs) have centered around a handful of data-rich languages.
1 code implementation • 30 Mar 2020 • Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier
In this paper, we propose a multiple object tracker, called MF-Tracker, that integrates multiple classical features (spatial distances and colours) and modern features (detection labels and re-identification features) in its tracking framework.
no code implementations • 15 May 2019 • 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.
no code implementations • 6 Sep 2018 • Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier, David-Alexandre Beaupré
Multiple object tracking (MOT) in urban traffic aims to produce the trajectories of the different road users that move across the field of view with different directions and speeds and that can have varying appearances and sizes.