| 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 | 68 | 2022 |
| A lightweight approach for on-the-fly reflectance estimation K Kim, J Gu, S Tyree, P Molchanov, M Nießner, J Kautz Proceedings of the IEEE International Conference on Computer Vision, 20-28, 2017 | 54 | 2017 |
| Approximation and Relaxation Approaches for Parallel and Distributed Machine Learning SW Tyree Washington University in St. Louis, 2014 | | 2014 |
| Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects B Wen, J Tremblay, V Blukis, S Tyree, T Müller, A Evans, D Fox, J Kautz, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 74 | 2023 |
| Combined prediction and path planning for autonomous objects using neural networks B Dally, S Tyree, I Frosio, A Troccoli US Patent App. 17/140,738, 2021 | 1 | 2021 |
| Combined prediction and path planning for autonomous objects using neural networks B Dally, S Tyree, I Frosio, A Troccoli US Patent App. 16/268,188, 2020 | 39 | 2020 |
| Compressed support vector machines Z Xu, JR Gardner, S Tyree, KQ Weinberger arXiv preprint arXiv:1501.06478, 2015 | 4 | 2015 |
| Compressing convolutional neural networks W Chen, JT Wilson, S Tyree, KQ Weinberger, Y Chen arXiv preprint arXiv:1506.04449, 2015 | 74 | 2015 |
| Compressing convolutional neural networks in the frequency domain W Chen, J Wilson, S Tyree, KQ Weinberger, Y Chen Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 139 | 2016 |
| Compressing neural networks with the hashing trick W Chen, J Wilson, S Tyree, K Weinberger, Y Chen International conference on machine learning, 2285-2294, 2015 | 1430 | 2015 |
| Determining a three-dimensional representation of a scene Y Lin, J Tremblay, SW Tyree, ST Birchfield US Patent 11,417,063, 2022 | | 2022 |
| Diff-dope: Differentiable deep object pose estimation J Tremblay, B Wen, V Blukis, B Sundaralingam, S Tyree, S Birchfield arXiv preprint arXiv:2310.00463, 2023 | 2 | 2023 |
| Equivariant landmark transformation for landmark localization P Molchanov, SW Tyree, J Kautz, S Honari US Patent 10,783,394, 2020 | 7 | 2020 |
| Exact Gaussian processes on a million data points K Wang, G Pleiss, J Gardner, S Tyree, KQ Weinberger, AG Wilson Advances in neural information processing systems 32, 2019 | 268 | 2019 |
| Future object trajectory predictions for autonomous machine applications R Villegas, A Troccoli, I Frosio, S Tyree, W Byeon, J Kautz US Patent 11,989,642, 2024 | 1 | 2024 |
| Future object trajectory predictions for autonomous machine applications R Villegas, A Troccoli, I Frosio, S Tyree, W Byeon, J Kautz US Patent 11,514,293, 2022 | 46 | 2022 |
| GA3C: GPU-based A3C for deep reinforcement learning M Babaeizadeh, I Frosio, S Tyree, J Clemons, J Kautz CoRR abs/1611.06256, 2016 | 89 | 2016 |
| GridSPiM: A Framework for Simple Locality and Containment in the Stochastic π-Calculus S Tyree, R Kuplicki, T Sarratt, S Fujan, J Hale International Conference on Bioinformatics and Computational Biology, 409-423, 2009 | | 2009 |
| Guiding threat analysis with threat source models K Clark, C Lee, S Tyree, J Hale 2007 IEEE SMC Information Assurance and Security Workshop, 262-269, 2007 | 9 | 2007 |
| Handal: A dataset of real-world manipulable object categories with pose annotations, affordances, and reconstructions A Guo, B Wen, J Yuan, J Tremblay, S Tyree, J Smith, S Birchfield 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 7 | 2023 |