Ubisoft La Forge Academic Papers and Presentations
View all of Ubisoft La Forge’s official academic papers, presentations, and documentation.
Bots & Behaviors
Character & Animation
Environment
Machine Learning
Management
Network
NLP
Player Experience
Reinforcement Learning
Software Engineering
Sound
BOTS & BEHAVIORS
Regularized Soft Actor-Critic for Behavior Transfer Learning (View Paper, Presentation Recording)
IEEE-CoG, 2022
Contributors: Tan Ming Xi, Tian An Dong, Ludovic Denoyer
Deep Reinforcement Learning for Navigation in AAA Video Games (View Paper)
IJCAI, 2021
Contributors: Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment (View Paper)
AAAI Workshop on Games, 2021
Contributors: Edward Beeching, Philippe Marcotte, Maxim Peter, Joshua Romoff
Direct Behavior Specification via Constrained Reinforcement Learning (View Paper)
AAAI Workshop on Games, 2021
Contributors: Julien Roy, Roger Girgis, Joshua Romoff, Pierre-Luc Bacon, Christopher Pal
Off Policy Differentiable Logic Reinforcement Learning (View Paper)
ECML PKDD, 2021
Contributors: Li Zhang, Xin Li, Mingzhong Wang and Tian An Dong
Deep RL for Navigation in AAA Video Games (View Paper)
NeurIPS, 2020
Contributors: Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff
Adversarial Soft Advantage Fitting (View Paper)
NeurIPS, 2020
Contributors: Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher Pal, Derek Nowrouzezahrai
Discrete and Continuous Action Representation for Practical RL in Video Games (Presentation)
AAAI, 2020
Contributors: Olivier Delalleau, Maxim Peter, Eloi Alonso, Adrien Logut
Smart Bots for Better Games: Reinforcement Learning in Production (Presentation)
GDC, 2019
Contributors: Olivier Delalleau
RLG (View Paper)
AAAI, 2019
Contributors: Olivier Delalleau, Maxim Peter, Eloi Alonso, Adrien Logut
Reinforcement learning in video games development (Presentation)
Autodesk Meetup, 2018
Contributors: Olivier Delalleau & Adrien Logut
Deep RL in action: For Honor & Watch_Dogs 2 case study (Presentation)
AI & Games Summer School, 2018
Contributors: Olivier Delalleau
Reinforcement Learning as a Production Tool on AAA Games (View Paper)
GAIN, 2017
Contributors: Olivier Delalleau and Adrien Logut
CHARACTER & ANIMATION
Face Editing using Part-based Optimization of the Latent Space (View Paper)
EUROGRAPHICS, May 2023
Contributors: Mohammad Amin Aliari, Andre Beauchamps, Eric Paquette
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech (View Paper)
SCA, 2022
Contributors: Saeed Ghorbani, Ylva Ferstl, Daniel Holden, Nikolaus F. Troje, Marc-André Carbonneau
Artists Guided Generation of Video Game Production Quality Face Textures (View Paper)
Computers & Graphics Journal, 2021
Contributors: Christian Murphy, Sudhir Mudur, Daniel Holden, Marc-Andre Carbonneau, Donya Ghafourzadeh, and Andre Beauchamp
Curvature Analysis of Sculpted Hair Meshes for Hair Guides Generation (View Paper)
CGI, 2021
Contributors: Florian Pellegrin, Andre Beauchamp and Eric Paquette
SuperTrack: Motion Tracking for Physically Simulated Characters using Supervised Learning (View Paper, Video)
SIGGRAPH Asia, 2021
Contributors: Levi Fussell, Kevin Bergamin, Daniel Holden
Robotic Character in Video Games (Presentation Recording)
ICRA, 2021
Contributors: Daniel Holden, Kevin Bergamin
ZooBuilder - CV4Animals Workshop at CVPR 2021 (Workshop page)
CVPR, 2021
Contributors: Abassin Sourou Fangbemi
Appearance Controlled Face Texture Generation for Video Game Character (Best Student Paper) (View Paper)
MIG, 2020
Contributors: Christian Murphy, Sudhir Mudur, Daniel Holden, Marc-André Carbonneau, Donya Ghafourzadeh, Andre Beauchamp
Learned Motion Matching (View Paper, Video-1)
SIGGRAPH, 2020
Contributors: Daniel Holden, Oussama Kanoun, Maksym Perepichka, Tiberiu Popa
Robust Motion In-Betweening (View Paper, Video)
SIGGRAPH, 2020
Contributors: Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher Pal
Part-based 3D Face Morphable Model with Anthropometric Local Control (Best Student Paper) (View Paper)
GI, 2020
Contributors: Donya Ghafourzadeh, Cyrus Rahgoshay, Sahel Fallahdoust, Andre Beauchamp, Adeline Aubame, Tiberiu Popa, Eric Paquette
Animation Retrieval (Presentation Recording)
SIGGRAPH, 2020
Contributors: Mike Yurick
Ragdoll Motion Matching (Presentation, Video-1)
GDC, 2020
Contributors: Simon Clavet
Machine Learning, Physics Simulation, Kolmogorov Complexity, and Squishy Bunnies (Presentation, Video-1)
GDC, 2020
Contributors: Daniel Holden
ZooBuilder: 3D Animations From Videos for Quadrupeds
SIGGRAPH Asia, 2020
Contributors: Abassin Sourou Fangbemi, Alexis Rolland
2D and 3D Pose Estimation for Quadrupeds Using Synthetic Data (Presentation Recording)
SCA, 2020
Contributors: Abassin Sourou Fangbemi
A new Era of Performance Capture with Machine Learning (Presentation)
GDC, 2019
Contributors: Daniel Holden
Subspace Neural Physics: Fast Data-Driven Interactive Simulation (Presentation)
SCA, 2019
Contributors: Daniel Holden, Bang Chi Duong, Sayantan Datta, Derek Nowrouzezahrai
Robust Marker Trajectory Repair for MOCAP using Kinematic Reference (Presentation)
MIG, 2019
Contributors: Maksym Perepichka, Daniel Holden, Sudhir P. Mudur, Tiberiu Popa
DReCon: Data-Driven Responsive Control of Physics-Based Characters (View Paper, Video, Blog)
SIGGRAPH Asia, 2019
Contributors: Kevin Bergamin, Simon Clavet, Daniel Holden, James Richard Forbes
Robust Solving of Optical Motion Capture Data by Denoising (View Paper, Presentation)
SIGGRAPH, 2018
Contributors: Daniel Holden
Recurrent Transition Networks for Character Locomotion (Technical Briefs) (View Paper, Published Brief)
SIGGRAPH Asia, 2019
Contributors: Félix G. Harvey, Chris Pal
Character Control with Neural Networks and Machine Learning (Presentation)
GDC, 2018
Contributors: Daniel Holden
Machine Learning in the Toolbox of Game Development (Presentation)
MIG / i3D, 2018
Contributors: Daniel Holden
COMPUTER VISION AND PATTERN RECOGNITION
Diverse super-resolution with pretrained hierarchical variational autoencoders (View Paper)
Computer Vision and Image Understanding, August 2022
Contributors: Jean Prost, Antoine Houdard, Nicolas Papadakis, Andrés Almansa
Wasserstein patch prior for image superresolution (View Paper)
Computer Vision and Image Understanding, August 2022
Contributors: Johannes Hertrich, Antoine Houdard, Claudia Redenbach
ENVIRONMENT
Compact Poisson Filters for Fast and Accurate Fluid Simulation (View Paper, Supplementary Materials, Blog)
SIGGRAPH, 2022
Contributors: Shahin Rabbani , Jean-Philippe Guertin , Damien Rioux Lavoie, Arnaud Schoentgen , Kaitai Tong, Alexandre Sirois-Vigneux, Derek Nowrouzezahrai
Torch Them All: How I Learned to Stop Worrying and Make Fire
GDC, 2021
Contributors: Shahin Rabbani
Fast Eulerian Fluid Simulation In Games Using Poisson Filters - Peer-Reviewed Showcase (View Paper, Video)
SCA, 2020
Contributors: Amir H. (Shahin) Rabbani and Soufiane Khiat
Making Bullet Deterministic Without Recreating Everything! (Code)
2018
Contributors: Shahin Rabbani
EvoGen: Evolutionary Motion Generator (View Paper)
2018
Contributors: Shahin Rabbani
A Recipe to Cook Jacobian (View Paper)
2017
Contributors: Shahin Rabbani
MACHINE LEARNING
Building a Subspace of Policies for Scalable Continual Learning (View Paper)
ICLR, May 2023
Contributors: Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu
Using Confounded Data in Offline RL (View Paper, Video)
NeurIPS Offline RL Workshop, December 2022
Contributors: Maxime Gasse, Damien Grasset, Guillaume Gaudron, Pierre-Yves Oudeyer
Building a Subspace of Policies for Scalable Continual Learning (View Paper)
NeurIPS Deep RL Workshop, December 2022
Contributors: Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu
Measuring Disentanglement: A Review of Metrics (View Paper)
MICCAI, 2022
Contributors: Marc-André Carbonneau, Julian Zaidi, Jonathan Boilard, Ghyslain Gagnon
MANAGEMENT
Managing Big Data analytics with knowledge brokering
Strategic Management Society, June 2022
Contributors: Paul Conort, David Massé, Nicola Mircc
NETWORK
Predictive Dead Reckoning for Online Peer-to-Peer Game (View Paper)
IEEE TRANSACTIONS ON GAMES, 2023
Contributors: Tristan Walker, Barry Gilhuly, Armin Sadeghi, Matt Delbosc, and Stephen L. Smith
NLP
Predictive Dead Reckoning for Online Peer-to-Peer Game
ACL NLP4ConvAI workshop, May 2023
Contributors: Gaetan Lopez Latouche, Ben Swanson, Laurence Marcotte
PLAYER EXPERIENCE
Regularized Contrastive Learning of Semantic Search (View Paper)
NLPCC, May 2022
Contributors: Tan Ming Xi, Tian An Dong, Alexis Rolland
REINFORCEMENT LEARNING
Direct Behavior Specification via Constrained Reinforcement Learning (View Paper, Blog, Github)
ICML, May 2022
Contributors: Roy, Julien and Girgis, Roger and Romoff, Joshua and Bacon, Pierre-Luc and Pal, Chris J
SOFTWARE ENGINEERING
Performance Prediction From Source Code Is Task and Domain Specific
ICPC, 2023
Contributors: Markus Bock, Sarra Habchi, Mathieu Nayrolles, Jurgen Cito
What Made This Test Flake? (View Paper)
ICSME, 2022
Contributors: Sarra Habchi, Guillaume Haben, Jeongju Sohn, Adriano Franci, Mike Papadakis, Maxime Cordy, Yves Le Traon
Towards Language-independent Brown Build Detection (View Paper)
ICSME, 2022
Contributors: Doriane Olewicki, Mathieu Nayrolles and Bram Adams
The Analysis of Time Series Forecasting on Resource Provision of Cloud-based Game Servers (View Paper)
2021
Contributors: Esma Mouine
CLEVER: Combining Code Metrics with Clone Detection for Just-In-Time Fault Prevention and Resolution in Large Industrial Projects (View Paper)
2018
Contributors: Mathieu Nayrolles (Architect, Ubisoft Mtl) and Abdelwahab Hamou-Lhadj (ECE Department, Concordia University)
A Project on Software Defect Prevention at Commit-Time: A Success Story of University-Industry Research Collaboration (View Paper)
2018
Contributors: Mathieu Nayrolles (Architect, Ubisoft Mtl) and Wahab Hamou-Lhadj (ECE, Concordia University)
Towards a Classification of Bugs to Facilitate Software Maintainability Tasks (View Paper)
2018
Contributors: Mathieu Nayrolles (Architect, Ubisoft Mtl) and Abdelwahab Hamou-Lhadj (ECE Department, Concordia University)
SOUND
Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis (View Paper)
INTERSPEECH, 2022
Contributors: Julian Zaïdi, Hugo Seuté, Benjamin van Niekerk, Marc-André Carbonneau
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion (View Paper, Project Page)
ICASSP, 2022
Contributors: Benjamin van Niekerk, Marc Andre Carbonneau , Julian Zaidi , Mathew Baas, Hugo Seute , Herman Kamper
Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis (View Paper, Code, Project Page)
2021
Contributors: Julian Zaïdi, Hugo Seuté, Benjamin van Niekerk, Marc-André Carbonneau
Speech Synthesis in the Context of Video Gaming
GDC, 2021
Contributors: Marc-André Carbonneau
Measuring Disentanglement: a Review of Metrics (View Paper)
2020
Contributors: Julian Zaidi, Jonathan Boilard, Ghyslain Gagnon and Marc-André Carbonneau