Jonathan Tremblay
Jonathan Tremblay
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
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
4052018
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
2902018
Pamtri: Pose-aware multi-task learning for vehicle re-identification using highly randomized synthetic data
Z Tang, M Naphade, S Birchfield, J Tremblay, W Hodge, R Kumar, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision, 211-220, 2019
842019
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
722018
An exploration tool for predicting stealthy behaviour
J Tremblay, PA Torres, N Rikovitch, C Verbrugge
Ninth Artificial Intelligence and Interactive Digital Entertainment Conference, 2013
412013
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), 5659-5666, 2018
372018
Measuring Risk in Stealth Games
J Tremblay, PA Torres, C Verbrugge
FDG, 2014
262014
Guided uncertainty-aware policy optimization: Combining learning and model-based strategies for sample-efficient policy learning
MA Lee, C Florensa, J Tremblay, N Ratliff, A Garg, F Ramos, D Fox
2020 IEEE International Conference on Robotics and Automation (ICRA), 7505-7512, 2020
232020
NDDS: NVIDIA deep learning dataset synthesizer, 2018
T To, J Tremblay, D McKay, Y Yamaguchi, K Leung, A Balanon, J Cheng, ...
22
NDDS: NVIDIA deep learning dataset synthesizer
T To, J Tremblay, D McKay, Y Yamaguchi, K Leung, A Balanon, J Cheng, ...
202018
Adaptive Game Mechanics for Learning Purposes-Making Serious Games Playable and Fun.
J Tremblay, B Bouchard, A Bouzouane
CSEDU (2), 465-470, 2010
202010
Camera-to-robot pose estimation from a single image
TE Lee, J Tremblay, T To, J Cheng, T Mosier, O Kroemer, D Fox, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 9426-9432, 2020
192020
Adaptive Companions in FPS Games
J Tremblay, C Verbrugge
8th International Conference on Foundations of Digital Games (FDG), 229-236, 2013
182013
Generative methods for guard and camera placement in stealth games
Q Xu, J Tremblay, C Verbrugge
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2014
172014
I can jump! exploring search algorithms for simulating platformer players
J Tremblay, A Borodovski, C Verbrugge
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2014
152014
Target selection for AI companions in FPS games.
J Tremblay, C Dragert, C Verbrugge
FDG, 2014
152014
An Algorithmic Approach to Analyzing Combat and Stealth Games
J Tremblay, PA Torres, C Verbrugge
CIG, 2014
152014
Few-shot viewpoint estimation
HY Tseng, S De Mello, J Tremblay, S Liu, S Birchfield, MH Yang, J Kautz
arXiv preprint arXiv:1905.04957, 2019
122019
Clustering Player Paths.
J Campbell, J Tremblay, C Verbrugge
FDG, 2015
112015
Understanding and evaluating behaviour trees
J Tremblay
McGill University, Modelling, Simulation and Design Lab, Tech. Rep, 2012
112012
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