259 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Forge (United Kingdom)GB4 papers
- McGill UniversityCA4 papers
- Polytechnique MontréalCA3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Institut de Mathématiques de BordeauxFR2 papers
- Queen's UniversityCA2 papers
- Stellenbosch UniversityZA2 papers
- Ubisoft (France)FR2 papers
- Université de MontréalCA2 papers
- BioKinetic Europe (United Kingdom)GB1 paper
- Canadian Institute for Advanced ResearchCA1 paper
- Centre Universitaire de MilaDZ1 paper
19 papers
A Hybrid Neural-Microfacet BRDF Model for Real-Time Rendering
Louis De Oliveira, Anastasia Karpova, Georges Nader +4
Over the past decade, microfacet-based BRDF models have formed the foundation of real-time rendering pipelines. Despite their widespread use, they often fail to reproduce subtle ap…
The Cookbook: Design Space of LLM-based Social Simulations
Aurélien Bück-Kaeffer, Sneheel Sarangi, Maximilian Puelma Touzel +3
Studies attempting to simulate human behavior with grow in numbers while LLM-only social networks have started appearing outside of controlled settings…
Reciprocal Latent Fields for Precomputed Sound Propagation
Hugo Seuté, Pranai Vasudev, Etienne Richan +1
Realistic sound propagation is essential for immersion in a virtual scene, yet physically accurate wave-based simulations remain computationally prohibitive for real-time applicati…
Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection
Zachary Yang, Domenico Tullo, Reihaneh Rabbany
Toxicity detection in gaming communities faces significant scaling challenges when expanding across multiple games and languages, particularly in real-time environments where compu…
Model See Model Do: Speech-Driven Facial Animation with Style Control
Yifang Pan, Karan Singh, Luiz Gustavo Hafemann
Speech-driven 3D facial animation plays a key role in applications such as virtual avatars, gaming, and digital content creation. While existing methods have made significant progr…
An Empirical Study on Code Review Activity Prediction and Its Impact in Practice
Doriane Olewicki, Sarra Habchi, Bram Adams
During code reviews, an essential step in software quality assurance, reviewers have the difficult task of understanding and evaluating code changes to validate their quality and p…
Towards Detecting Contextual Real-Time Toxicity for In-Game Chat
Zachary Yang, Nicolas Grenan-Godbout, Reihaneh Rabbany
Real-time toxicity detection in online environments poses a significant challenge, due to the increasing prevalence of social media and gaming platforms. We introduce ToxBuster, a…
Time-based Repair for Asynchronous Wait Flaky Tests in Web Testing
Yu Pei, Jeongju Sohn, Sarra Habchi +1
Asynchronous waits are one of the most prevalent root causes of flaky tests and a major time-influential factor of web application testing. To investigate the characteristics of as…
On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics -- Empirical Study on Brown Build and Risk Prediction
Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles +3
Nowadays, software analytics tools using machine learning (ML) models to, for example, predict the risk of a code change are well established. However, as the goals of a project sh…
Inverse problem regularization with hierarchical variational autoencoders
Jean Prost, Antoine Houdard, Andrés Almansa +1
In this paper, we propose to regularize ill-posed inverse problems using a deep hierarchical variational autoencoder (HVAE) as an image prior. The proposed method synthesizes the a…
Automated Play-Testing Through RL Based Human-Like Play-Styles Generation
Pierre Le Pelletier de Woillemont, Rémi Labory, Vincent Corruble
The increasing complexity of gameplay mechanisms in modern video games is leading to the emergence of a wider range of ways to play games. The variety of possible play-styles needs…
Diverse super-resolution with pretrained deep hiererarchical VAEs
Jean Prost, Antoine Houdard, Andrés Almansa +1
We investigate the problem of producing diverse solutions to an image super-resolution problem. From a probabilistic perspective, this can be done by sampling from the posterior di…
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment
Edward Beeching, Maxim Peter, Philippe Marcotte +4
We address planning and navigation in challenging 3D video games featuring maps with disconnected regions reachable by agents using special actions. In this setting, classical symb…
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion
Benjamin van Niekerk, Marc-André Carbonneau, Julian Zaïdi +3
The goal of voice conversion is to transform source speech into a target voice, keeping the content unchanged. In this paper, we focus on self-supervised representation learning fo…
Satellite Image Semantic Segmentation
Eric Guérin, Killian Oechslin, Christian Wolf +1
In this paper, we propose a method for the automatic semantic segmentation of satellite images into six classes (sparse forest, dense forest, moor, herbaceous formation, building,…
Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis
Julian Zaïdi, Hugo Seuté, Benjamin van Niekerk +1
This paper presents Daft-Exprt, a multi-speaker acoustic model advancing the state-of-the-art for cross-speaker prosody transfer on any text. This is one of the most challenging, a…
Causal Reinforcement Learning using Observational and Interventional Data
Maxime Gasse, Damien Grasset, Guillaume Gaudron +1
Learning efficiently a causal model of the environment is a key challenge of model-based RL agents operating in POMDPs. We consider here a scenario where the learning agent has the…
Robust Motion In-betweening
Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai +1
In this work we present a novel, robust transition generation technique that can serve as a new tool for 3D animators, based on adversarial recurrent neural networks. The system sy…
Physics-informed GANs for Coastal Flood Visualization
Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa +8
As climate change increases the intensity of natural disasters, society needs better tools for adaptation. Floods, for example, are the most frequent natural disaster, but during h…