| 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 | 609 | 2018 |
| 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 | 446 | 2018 |
| 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 | 125 | 2019 |
| 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 | 121 | 2018 |
| 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 | 48 | 2022 |
| 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 | 44 | 2018 |
| 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 | 40 | 2021 |
| An exploration tool for predicting stealthy behaviour J Tremblay, PA Torres, N Rikovitch, C Verbrugge Ninth Artificial Intelligence and Interactive Digital Entertainment Conference, 2013 | 40 | 2013 |
| 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 | 39 | 2020 |
| 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 | 39 | 2020 |
| NDDS: NVIDIA deep learning dataset synthesizer T To, J Tremblay, D McKay, Y Yamaguchi, K Leung, A Balanon, J Cheng, ... CVPR 2018 Workshop on Real World Challenges and New Benchmarks for Deep …, 2018 | 38 | 2018 |
| NDDS: NVIDIA deep learning dataset synthesizer, 2018 T To, J Tremblay, D McKay, Y Yamaguchi, K Leung, A Balanon, J Cheng, ... | 32 | |
| 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 | 31 | 2021 |
| Measuring Risk in Stealth Games J Tremblay, PA Torres, C Verbrugge FDG, 2014 | 26 | 2014 |
| Adaptive Game Mechanics for Learning Purposes-Making Serious Games Playable and Fun. J Tremblay, B Bouchard, A Bouzouane CSEDU (2), 465-470, 2010 | 25 | 2010 |
| Adaptive Companions in FPS Games J Tremblay, C Verbrugge 8th International Conference on Foundations of Digital Games (FDG), 229-236, 2013 | 22 | 2013 |
| Deep object pose estimation for semantic robotic grasping of household objects. arXiv 2018 J Tremblay, T To, B Sundaralingam, Y Xiang, D Fox, S Birchfield arXiv preprint arXiv:1809.10790, 0 | 21 | |
| 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 | 17 | 2019 |
| Target selection for AI companions in FPS games. J Tremblay, C Dragert, C Verbrugge FDG, 2014 | 16 | 2014 |
| 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 | 16 | 2014 |
Stan BirchfieldNVIDIA; Clemson UniversityVerified email at clemson.edu
