| Training deep networks with synthetic data: Bridging the reality gap by domain randomization J Tremblay, A Prakash, D Acuna, M Brophy, V Jampani, C Anil, T To, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 63 | 2018 |
| An exploration tool for predicting stealthy behaviour J Tremblay, PA Torres, N Rikovitch, C Verbrugge Ninth Artificial Intelligence and Interactive Digital Entertainment Conference, 2013 | 31 | 2013 |
| Deep object pose estimation for semantic robotic grasping of household objects J Tremblay, T To, B Sundaralingam, Y Xiang, D Fox, S Birchfield arXiv preprint arXiv:1809.10790, 2018 | 19 | 2018 |
| Measuring Risk in Stealth Games J Tremblay, PA Torres, C Verbrugge FDG, 2014 | 16 | 2014 |
| Adaptive Companions in FPS Games J Tremblay, C Verbrugge 8th International Conference on Foundations of Digital Games (FDG), 229-236, 2013 | 15 | 2013 |
| Adaptive Game Mechanics for Learning Purposes-Making Serious Games Playable and Fun. J Tremblay, B Bouchard, A Bouzouane CSEDU (2), 465-470, 2010 | 13 | 2010 |
| An Algorithmic Approach to Analyzing Combat and Stealth Games J Tremblay, PA Torres, C Verbrugge CIG, 2014 | 12 | 2014 |
| Generative methods for guard and camera placement in stealth games Q Xu, J Tremblay, C Verbrugge Tenth Artificial Intelligence and Interactive Digital Entertainment Conference, 2014 | 11 | 2014 |
| I can jump! exploring search algorithms for simulating platformer players J Tremblay, A Borodovski, C Verbrugge Tenth Artificial Intelligence and Interactive Digital Entertainment Conference, 2014 | 10 | 2014 |
| Procedural guard placement for stealth games Q Xu, J Tremblay, C Verbrugge Fifth Workshop on Procedural Content Generation in Games (PCG 2014), 2014 | 8 | 2014 |
| Understanding and evaluating behaviour trees J Tremblay McGill University, Modelling, Simulation and Design Lab, Tech. Rep, 2012 | 8 | 2012 |
| Clustering Player Paths. JC Campbell, J Tremblay, C Verbrugge FDG, 2015 | 7 | 2015 |
| Target selection for AI companions in FPS games. J Tremblay, C Dragert, C Verbrugge FDG, 2014 | 7 | 2014 |
| Synthetically trained neural networks for learning human-readable plans from real-world demonstrations J Tremblay, T To, A Molchanov, S Tyree, J Kautz, S Birchfield 2018 IEEE International Conference on Robotics and Automation (ICRA), 1-5, 2018 | 6 | 2018 |
| VisDA: A synthetic-to-real benchmark for visual domain adaptation X Peng, B Usman, N Kaushik, D Wang, J Hoffman, K Saenko Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 5 | 2018 |
| Falling Things: A synthetic dataset for 3D object detection and pose estimation J Tremblay, T To, S Birchfield Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 5 | 2018 |
| NDDS: NVIDIA deep learning dataset synthesizer, 2018 T To, J Tremblay, D McKay, Y Yamaguchi, K Leung, A Balanon, J Cheng, ... | 5 | |
| A new approach to dynamic difficulty adjustment in video games J Tremblay Université du Québec à Chicoutimi, 2011 | 4 | 2011 |
| An algorithmic approach to decorative content placement J Tremblay, C Verbrugge Eleventh Artificial Intelligence and Interactive Digital Entertainment …, 2015 | 1 | 2015 |
| A game genre agnostic framework for game-design J Tremblay, C Verbrugge Proceedings of the Fourth International Workshop on Games and Software …, 2015 | 1 | 2015 |
Dr. Christopher DragertAI Programmer, Ubisoft TorontoVerified email at ubisoft.com
Dr. Christopher DragertAI Programmer, Ubisoft TorontoVerified email at ubisoft.com