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Jonathan Tremblay
Jonathan Tremblay
Verified email at nvidia.com - Homepage
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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
8522018
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
6562018
Efficient geometry-aware 3D generative adversarial networks
ER Chan, CZ Lin, MA Chan, K Nagano, B Pan, S De Mello, O Gallo, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
5452022
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
1722019
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
1722018
Progprompt: Generating situated robot task plans using large language models
I Singh, V Blukis, A Mousavian, A Goyal, D Xu, J Tremblay, D Fox, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 11523 …, 2023
1632023
DexYCB: A benchmark for capturing hand grasping of objects
YW Chao, W Yang, Y Xiang, P Molchanov, A Handa, J Tremblay, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1282021
Hierarchical planning for long-horizon manipulation with geometric and symbolic scene graphs
Y Zhu, J Tremblay, S Birchfield, Y Zhu
2021 IEEE International Conference on Robotics and Automation (ICRA), 6541-6548, 2021
812021
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
702020
Learning robotic tasks using one or more neural networks
J Tremblay, S Birchfield, S Tyree, T To, J Kautz, A Molchanov
US Patent App. 16/255,038, 2019
652019
NDDS: NVIDIA deep learning dataset synthesizer
T To, J Tremblay, D McKay, Y Yamaguchi, K Leung, A Balanon, J Cheng, ...
Proceedings of the CVPR 2018 Workshop on Real World Challenges and New …, 2018
582018
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
512020
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
512018
Variable bitrate neural fields
T Takikawa, A Evans, J Tremblay, T Müller, M McGuire, A Jacobson, ...
ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022
502022
An exploration tool for predicting stealthy behaviour
J Tremblay, P Torres, N Rikovitch, C Verbrugge
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2013
422013
6-DoF pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark
S Tyree, J Tremblay, T To, J Cheng, T Mosier, J Smith, S Birchfield
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
382022
NViSII: A scriptable tool for photorealistic image generation
N Morrical, J Tremblay, Y Lin, S Tyree, S Birchfield, V Pascucci, I Wald
arXiv preprint arXiv:2105.13962, 2021
352021
NDDS: NVIDIA deep learning dataset synthesizer, 2018
T To, J Tremblay, D McKay, Y Yamaguchi, K Leung, A Balanon, J Cheng, ...
34
Robotic control system
S Iqbal, J Tremblay, TH To, J Cheng, E Leitch, DJ McKay, ST Birchfield
US Patent App. 16/549,831, 2020
322020
Measuring Risk in Stealth Games
J Tremblay, PA Torres, C Verbrugge
FDG, 2014
302014
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