Pierre-Luc St-Charles

32 papers A* 2A 2B 1C 2Journal 15Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents. CoRR Jaylen Jones, Zhehao Zhang, Yuting Ning, Eric Fosler-Lussier, Pierre-Luc St-Charles, Yoshua Bengio, Dawn Song, Yu Su, Huan Sun
2025	A*	`conf`	AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements. ICLR Adriana Eufrosina Bora, Pierre-Luc St-Charles, Mirko Bronzi, Arsène Fansi Tchango, Bruno Rousseau, Kerrie L. Mengersen
2025	J	`jnl`	AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements. CoRR Adriana Eufrosina Bora, Pierre-Luc St-Charles, Mirko Bronzi, Arsène Fansi Tchango, Bruno Rousseau, Kerrie L. Mengersen
2025	J	`jnl`	Active Attacks: Red-teaming LLMs via Adaptive Environments. CoRR Taeyoung Yun, Pierre-Luc St-Charles, Jinkyoo Park, Yoshua Bengio, Minsu Kim
2025	J	`jnl`	Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path? CoRR 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, David Williams-King
2024	J	`jnl`	On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization. CoRR Jordi Armengol-Estapé, Vincent Michalski, Ramnath Kumar, Pierre-Luc St-Charles, Doina Precup, Samira Ebrahimi Kahou
2023	J	`jnl`	Transformers in Reinforcement Learning: A Survey. CoRR Pranav Agarwal, Aamer Abdul Rahman, Pierre-Luc St-Charles, Simon J. D. Prince, Samira Ebrahimi Kahou
2022	J	`jnl`	A Multimodal Non-Intrusive Stress Monitoring From the Pleasure-Arousal Emotional Dimensions. IEEE Trans. Affect. Comput. Mohamed Dahmane, Jahangir Alam, Pierre-Luc St-Charles, Marc Lalonde, Kevin Heffner, Samuel Foucher
2022	—	`conf`	Self-Supervised Learning of Pose-Informed Latents. CVPR Workshops Raphaël Jean, Pierre-Luc St-Charles, Sören Pirk, Simon Brodeur
2021	A*	`conf`	Predicting Infectiousness for Proactive Contact Tracing. ICLR 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, David L. Buckeridge, Gaétan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
2020	—	`conf`	Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. Odyssey Jahangir Alam, 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, Ladislav Mosner, Cedric Noiseux, Ondrej Novotný, Oldrich Plchot, Johan Rohdin, Anna Silnova, Josef Slavícek, Themos Stafylakis, Shuai Wang, Hossein Zeinali
2020	J	`jnl`	Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning. Frontiers Artif. Intell. Justine Boulent, Pierre-Luc St-Charles, Samuel Foucher, Jérôme Théau
2020	J	`jnl`	COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. CoRR 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, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David L. Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Joseph Pal, Joanna Merckx, Eilif B. Müller, Yoshua Bengio
2020	—	`conf`	Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks. CVPR Workshops Md Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou, Yoshua Bengio
2020	J	`jnl`	Predicting Infectiousness for Proactive Contact Tracing. CoRR Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B. Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gaétan Marceau Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
2019	C	`conf`	Applying Machine Learning to Earth Observations In A Standards Based Workflow. IGARSS 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
2019	—	`conf`	Arousal and Valence Estimation for Visual Non-Intrusive Stress Monitoring. IPTA Mohamed Dahmane, Pierre-Luc St-Charles, Marc Lalonde, Kevin Heffner, Samuel Foucher
2019	J	`jnl`	Online Mutual Foreground Segmentation for Multispectral Stereo Videos. Int. J. Comput. Vis. Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin
2018	C	`conf`	Localizing People in Crosswalks using Visual Odometry: Preliminary Results. ICPRAM Marc Lalonde, Pierre-Luc St-Charles, Délia Loupias, Claude Chapdelaine, Samuel Foucher
2018	J	`jnl`	Online Mutual Foreground Segmentation for Multispectral Stereo Videos. CoRR Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin
2017	—	`conf`	Mutual Foreground Segmentation with Multispectral Stereo Pairs. ICCV Workshops Robert Bergevin, Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau
2016	—	`conf`	Fast Image Gradients Using Binary Feature Convolutions. CVPR Workshops Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin
2016	—	`conf`	Non-planar Infrared-Visible Registration for Uncalibrated Stereo Pairs. CVPR Workshops Dinh-Luan Nguyen, Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau
2016	J	`jnl`	Universal Background Subtraction Using Word Consensus Models. IEEE Trans. Image Process. Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin
2015	A	`conf`	A Self-Adjusting Approach to Change Detection Based on Background Word Consensus. WACV Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin
2015	—	`conf`	Online multimodal video registration based on shape matching. CVPR Workshops Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin
2015	J	`jnl`	Reproducible Evaluation of Pan-Tilt-Zoom Tracking. CoRR Gengjie Chen, Pierre-Luc St-Charles, Wassim Bouachir, Thomas Joeisseint, Guillaume-Alexandre Bilodeau, Robert Bergevin
2015	B	`conf`	Reproducible evaluation of Pan-Tilt-Zoom tracking. ICIP Gengjie Chen, Pierre-Luc St-Charles, Wassim Bouachir, Guillaume-Alexandre Bilodeau, Robert Bergevin
2015	J	`jnl`	SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity. IEEE Trans. Image Process. Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin
2014	—	`conf`	Flexible Background Subtraction with Self-Balanced Local Sensitivity. CVPR Workshops Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin
2014	—	`conf`	Gesture interface for an interactive kiosk. VRCAI Khalid Djado, Claude Chapdelaine, Pierre-Luc St-Charles, Maxime Derenne
2014	A	`conf`	Improving background subtraction using Local Binary Similarity Patterns. WACV Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau