| 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction CB Choy, D Xu, JY Gwak, K Chen, S Savarese European conference on computer vision, 628-644, 2016 | 783 | 2016 |
| Scene graph generation by iterative message passing D Xu, Y Zhu, CB Choy, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 436 | 2017 |
| Pointfusion: Deep sensor fusion for 3d bounding box estimation D Xu, D Anguelov, A Jain Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 208 | 2018 |
| Densefusion: 6d object pose estimation by iterative dense fusion C Wang, D Xu, Y Zhu, R Martín-Martín, C Lu, L Fei-Fei, S Savarese Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 198 | 2019 |
| Tactile identification of objects using Bayesian exploration D Xu, GE Loeb, JA Fishel 2013 IEEE International Conference on Robotics and Automation, 3056-3061, 2013 | 137 | 2013 |
| Neural task programming: Learning to generalize across hierarchical tasks D Xu, S Nair, Y Zhu, J Gao, A Garg, L Fei-Fei, S Savarese 2018 IEEE International Conference on Robotics and Automation (ICRA), 1-8, 2018 | 94 | 2018 |
| Folding deformable objects using predictive simulation and trajectory optimization Y Li, Y Yue, D Xu, E Grinspun, PK Allen 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 70 | 2015 |
| Regrasping and unfolding of garments using predictive thin shell modeling Y Li, D Xu, Y Yue, Y Wang, SF Chang, E Grinspun, PK Allen 2015 IEEE International Conference on Robotics and Automation (ICRA), 1382-1388, 2015 | 44 | 2015 |
| Neural task graphs: Generalizing to unseen tasks from a single video demonstration DA Huang, S Nair, D Xu, Y Zhu, A Garg, L Fei-Fei, S Savarese, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 40 | 2019 |
| Multi-sensor surface analysis for robotic ironing Y Li, X Hu, D Xu, Y Yue, E Grinspun, PK Allen 2016 IEEE International Conference on Robotics and Automation (ICRA), 5670-5676, 2016 | 29 | 2016 |
| Model-driven feedforward prediction for manipulation of deformable objects Y Li, Y Wang, Y Yue, D Xu, M Case, SF Chang, E Grinspun, PK Allen IEEE Transactions on Automation Science and Engineering 15 (4), 1621-1638, 2018 | 15 | 2018 |
| Situational fusion of visual representation for visual navigation WB Shen, D Xu, Y Zhu, LJ Guibas, L Fei-Fei, S Savarese Proceedings of the IEEE International Conference on Computer Vision, 2881-2890, 2019 | 14 | 2019 |
| Topometric localization on a road network D Xu, H Badino, D Huber 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 14 | 2014 |
| 6-pack: Category-level 6d pose tracker with anchor-based keypoints C Wang, R Martín-Martín, D Xu, J Lv, C Lu, L Fei-Fei, S Savarese, Y Zhu arXiv preprint arXiv:1910.10750, 2019 | 13 | 2019 |
| Continuous relaxation of symbolic planner for one-shot imitation learning DA Huang, D Xu, Y Zhu, A Garg, S Savarese, L Fei-Fei, JC Niebles arXiv preprint arXiv:1908.06769, 2019 | 10 | 2019 |
| Positive-unlabeled reward learning D Xu, M Denil arXiv preprint arXiv:1911.00459, 2019 | 7 | 2019 |
| European Conference on Computer Vision CB Choy, D Xu, J Gwak, K Chen, S Savarese Springer, 2016 | 6 | 2016 |
| Procedure planning in instructional videos CY Chang, DA Huang, D Xu, E Adeli, L Fei-Fei, JC Niebles European Conference on Computer Vision, 334-350, 2020 | 4 | 2020 |
| Regression planning networks D Xu, R Martín-Martín, DA Huang, Y Zhu, S Savarese, LF Fei-Fei Advances in Neural Information Processing Systems, 1319-1329, 2019 | 3 | 2019 |
| Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations A Mandlekar, D Xu, R Martín-Martín, S Savarese, L Fei-Fei arXiv preprint arXiv:2003.06085, 2020 | 2 | 2020 |
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
