Contacts

hughes dot perreault at polymtl.ca

Education

Ph.D. in Computer Engineering
Polytechnique Montréal (2017 - 2021)

MSc in Computer Science
Université du Québec à Chicoutimi (2015 - 2017)

BSc in Computer Science
Université de Montréal (2011-2015)

Languages

French (Native)
English (Professional)

Interests


The code for this site can be found here.

Hughes Perreault - AI scientist

About

Hi! I'm Hughes, a computer vision expert specializing in object recognition and general scene understanding in urban environments. My main focus is using computer vision technology to increase safety and automation in transportation applications. I have extensive experience with deep learning tools such as TensorFlow and PyTorch, as well as classic computer vision. During my Ph.D., I achieved noteworthy results on a variety of road user datasets, such as Cityscapes, KITTI, India Driving, UA-DETRAC, and UAVDT. Currently, I'm an AI scientist at Thales, where I focus on optimization, multimodal image registration and fusion, object detection, and tracking.

Fun fact, my Dijkstra number is five (click here) and my Erdos number is also five (click here).

Experiences

AI Scientist
October 2021 - Present
Thales Group
Lecturer for the INF1005C course
Trimester F19
Polytechnique Montréal
TA for the INF8770 course
Trimesters F17, W18, F18, W19, F20, W21
Polytechnique Montréal
Computer Vision Intern
August 2016 - December 2016
Genetec
C++ programmer/Technical Support
October 2014 - June 2015
Dash Computer Solutions
For specific references, please contact me.

Publications

    2023
  1. A Lightweight Convolutional Neural Network for Target Detection in an Edge Environment
    2. Hughes Perreault, Ola Ahmad, Daniel Czuboka
    2023 Ground Vehicle Systems Engineering and Technology Symposium (GVSETS)
  2. MobileFuse: Multimodal Image Fusion at the Edge
    3. Hughes Perreault, Benoit Debaque, Rares David, Marc-Antoine Drouin, Nicolas Duclos-Hindie, Simon Roy
    2023 26th International Conference on Information Fusion (FUSION)
    2022
  3. Multimodal Deep Homography Estimation Using a Domain Adaptation Generative Adversarial Network
    4. Thomas Pouplin, Hughes Perreault, Benoit Debaque, Marc-Antoine Drouin, Nicolas Duclos-Hindie, Simon Roy
    2nd Workshop on Multimodal Big Data (MMBD 2022)
  4. Thermal and Visible Image Registration Using Deep Homography
    5. Benoit Debaque, Hughes Perreault, Jean-Philippe Mercier, Marc-Antoine Drouin, Rares David, Benedicte Chatelais, Nicolas Duclos-Hindie, Simon Roy
    2022 25th International Conference on Information Fusion (FUSION)
    2021
  5. Détection et segmentation des usagers de la route dans des images et vidéos
    6. Hughes Perreault
    Ph.D. thesis
  6. PolyTrack: Tracking with Bounding Polygons
    7. Gaspar Faure, Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier
    International Conference on Image Analysis and Recognition
  7. Centerpoly: Real-time instance segmentation using bounding polygons
    8. Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Maguelonne Héritier
    Proceedings of the IEEE/CVF International Conference on Computer Vision
  8. FFAVOD: Feature fusion architecture for video object detection
    9. Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Maguelonne Héritier
    Pattern Recognition Letters
    2020
  9. SpotNet: Self-attention multi-task network for object detection
    10. Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Maguelonne Héritier
    17th Conference on Computer and Robot Vision (CRV)
  10. RN-VID: A Feature Fusion Architecture for Video Object Detection
    11. Hughes Perreault, Maguelonne Heritier, Pierre Gravel, Guillaume-Alexandre Bilodeau, Nicolas Saunier
    International Conference on Image Analysis and Recognition
    2019
  11. Road user detection in videos
    12. Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Pierre Gravel