Search Results for author: Pierre-Luc St-Charles

Found 6 papers, 3 papers with code

Transformers in Reinforcement Learning: A Survey

no code implementations12 Jul 2023 Pranav Agarwal, Aamer Abdul Rahman, Pierre-Luc St-Charles, Simon J. D. Prince, Samira Ebrahimi Kahou

We present a broad overview of how transformers have been adapted for several applications, including robotics, medicine, language modeling, cloud computing, and combinatorial optimization.

Cloud Computing Combinatorial Optimization +4

Self-Supervised Learning of Motion-Informed Latents

no code implementations29 Sep 2021 Raphaël Jean, Pierre-Luc St-Charles, Soren Pirk, Simon Brodeur

Our goal is to show that common Siamese networks can effectively be trained on video sequences to disentangle attributes related to pose and motion that are useful for video and non-video tasks, yet typically suppressed in usual training schemes.

Action Recognition Data Augmentation +2

Predicting Infectiousness for Proactive Contact Tracing

1 code implementation ICLR 2021 Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilanuik, David Buckeridge, Gáetan Marceau Caron, Pierre-Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams

Predictions are used to provide personalized recommendations to the individual via an app, as well as to send anonymized messages to the individual's contacts, who use this information to better predict their own infectiousness, an approach we call proactive contact tracing (PCT).

Online Mutual Foreground Segmentation for Multispectral Stereo Videos

1 code implementation8 Sep 2018 Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin

The segmentation of video sequences into foreground and background regions is a low-level process commonly used in video content analysis and smart surveillance applications.

Foreground Segmentation

Reproducible Evaluation of Pan-Tilt-Zoom Tracking

no code implementations18 May 2015 Gengjie Chen, Pierre-Luc St-Charles, Wassim Bouachir, Thomas Joeisseint, Guillaume-Alexandre Bilodeau, Robert Bergevin

Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in computer vision for many years.

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