Flexible Background Subtraction with Self-Balanced Local Sensitivity. - Pierre-Luc St-Charles; Guillaume-Alexandre Bilodeau; Robert Bergevin (CVPR Workshops, 2014)

Gesture interface for an interactive kiosk. - Khalid Djado; Claude Chapdelaine; Pierre-Luc St-Charles; Maxime Derenne (VRCAI, 2014)

Improving background subtraction using Local Binary Similarity Patterns. - Pierre-Luc St-Charles; Guillaume-Alexandre Bilodeau (WACV, 2014)

Online multimodal video registration based on shape matching. - Pierre-Luc St-Charles; Guillaume-Alexandre Bilodeau; Robert Bergevin (CVPR Workshops, 2015)

Reproducible evaluation of Pan-Tilt-Zoom tracking. - Gengjie Chen; Pierre-Luc St-Charles; Wassim Bouachir; Guillaume-Alexandre Bilodeau; Robert Bergevin (ICIP, 2015)

A Self-Adjusting Approach to Change Detection Based on Background Word Consensus. - Pierre-Luc St-Charles; Guillaume-Alexandre Bilodeau; Robert Bergevin (WACV, 2015)

Reproducible Evaluation of Pan-Tilt-Zoom Tracking. - Gengjie Chen; Pierre-Luc St-Charles; Wassim Bouachir; Thomas Joeisseint; Guillaume-Alexandre Bilodeau; Robert Bergevin (CoRR, 2015)

SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity. - Pierre-Luc St-Charles; Guillaume-Alexandre Bilodeau; Robert Bergevin (IEEE Trans. Image Process., 2015)

Non-planar Infrared-Visible Registration for Uncalibrated Stereo Pairs. - Dinh-Luan Nguyen; Pierre-Luc St-Charles; Guillaume-Alexandre Bilodeau (CVPR Workshops, 2016)

Fast Image Gradients Using Binary Feature Convolutions. - Pierre-Luc St-Charles; Guillaume-Alexandre Bilodeau; Robert Bergevin (CVPR Workshops, 2016)

Universal Background Subtraction Using Word Consensus Models. - Pierre-Luc St-Charles; Guillaume-Alexandre Bilodeau; Robert Bergevin (IEEE Trans. Image Process., 2016)

Mutual Foreground Segmentation with Multispectral Stereo Pairs. - Robert Bergevin; Pierre-Luc St-Charles; Guillaume-Alexandre Bilodeau (ICCV Workshops, 2017)

Localizing People in Crosswalks using Visual Odometry: Preliminary Results. - Marc Lalonde; Pierre-Luc St-Charles; Délia Loupias; Claude Chapdelaine; Samuel Foucher (ICPRAM, 2018)

Applying Machine Learning to Earth Observations In A Standards Based Workflow. - Tom Landry; Martin Sotir; Jean-François Rajotte; David Byrns; Francis Charette Migneault; Mario Beaulieu; Pierre-Luc St-Charles; Samuel Foucher; Claude Chapdelaine; Ayoub Tlili; Cedric Noiseux (IGARSS, 2019)

Arousal and Valence Estimation for Visual Non-Intrusive Stress Monitoring. - Mohamed Dahmane; Pierre-Luc St-Charles; Marc Lalonde; Kevin Heffner; Samuel Foucher (IPTA, 2019)

Online Mutual Foreground Segmentation for Multispectral Stereo Videos. - Pierre-Luc St-Charles; Guillaume-Alexandre Bilodeau; Robert Bergevin (Int. J. Comput. Vis., 2019)

Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks. - Md Rifat Arefin; Vincent Michalski; Pierre-Luc St-Charles; Alfredo Kalaitzis; Sookyung Kim; Samira Ebrahimi Kahou; Yoshua Bengio (CVPR Workshops, 2020)

Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. - Jahangir Alam 001; Gilles Boulianne; Lukás Burget; Mohamed Dahmane; Mireia Díez Sánchez; Alicia Lozano-Diez; Ondrej Glembek; Pierre-Luc St-Charles; Marc Lalonde; Pavel Matejka; Petr Mizera; João Monteiro 002; et al. (Odyssey, 2020)

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. - Prateek Gupta; Tegan Maharaj; Martin Weiss; Nasim Rahaman; Hannah Alsdurf; Abhinav Sharma; Nanor Minoyan; Soren Harnois-Leblanc; Victor Schmidt; Pierre-Luc St-Charles; Tristan Deleu; Andrew Williams; et al. (CoRR, 2020)

Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning. - Justine Boulent; Pierre-Luc St-Charles; Samuel Foucher; Jérôme Théau (Frontiers Artif. Intell., 2020)

Predicting Infectiousness for Proactive Contact Tracing. - Yoshua Bengio; Prateek Gupta; Tegan Maharaj; Nasim Rahaman; Martin Weiss; Tristan Deleu; Eilif Benjamin Müller; Meng Qu; Victor Schmidt; Pierre-Luc St-Charles; Hannah Alsdurf; Olexa Bilaniuk; et al. (ICLR, 2021)

Self-Supervised Learning of Pose-Informed Latents. - Raphaël Jean; Pierre-Luc St-Charles; Sören Pirk; Simon Brodeur (CVPR Workshops, 2022)

A Multimodal Non-Intrusive Stress Monitoring From the Pleasure-Arousal Emotional Dimensions. - Mohamed Dahmane; Jahangir Alam 001; Pierre-Luc St-Charles; Marc Lalonde; Kevin Heffner; Samuel Foucher (IEEE Trans. Affect. Comput., 2022)

Transformers in Reinforcement Learning: A Survey. - Pranav Agarwal; Aamer Abdul Rahman; Pierre-Luc St-Charles; Simon J. D. Prince; Samira Ebrahimi Kahou (CoRR, 2023)

On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization. - Jordi Armengol-Estapé; Vincent Michalski; Ramnath Kumar; Pierre-Luc St-Charles; Doina Precup; Samira Ebrahimi Kahou (CoRR, 2024)

AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements. - Adriana Eufrosina Bora; Pierre-Luc St-Charles; Mirko Bronzi; Arsène Fansi Tchango; Bruno Rousseau; Kerrie L. Mengersen (ICLR, 2025)

Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path? - Yoshua Bengio; Michael K. Cohen; Damiano Fornasiere; Joumana Ghosn; Pietro Greiner; Matt MacDermott; Sören Mindermann; Adam Oberman; Jesse Richardson; Oliver Richardson; Marc-Antoine Rondeau; Pierre-Luc St-Charles; et al. (CoRR, 2025)