| 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction CB Choy, D Xu, JY Gwak, K Chen, S Savarese Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1919 | 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 | 1344 | 2017 |
| 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/CVF conference on computer vision and pattern …, 2019 | 1045 | 2019 |
| 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 | 762 | 2018 |
| 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 | 441 | 2023 |
| What matters in learning from offline human demonstrations for robot manipulation A Mandlekar, D Xu, J Wong, S Nasiriany, C Wang, R Kulkarni, L Fei-Fei, ... Conference on Robot Learning, 2021 | 277 | 2021 |
| 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), 3795-3802, 2018 | 224 | 2018 |
| Tactile identification of objects using Bayesian exploration D Xu, GE Loeb, JA Fishel 2013 IEEE international conference on robotics and automation, 3056-3061, 2013 | 201 | 2013 |
| 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 2020 IEEE International Conference on Robotics and Automation (ICRA), 10059 …, 2020 | 155 | 2020 |
| 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/CVF conference on computer vision and pattern …, 2019 | 154 | 2019 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 133 | 2023 |
| 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 | 130 | 2015 |
| Learning to generalize across long-horizon tasks from human demonstrations A Mandlekar, D Xu, R Martín-Martín, S Savarese, L Fei-Fei Robotics: Science and Systems, 2020 | 106 | 2020 |
| 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 | 91 | 2020 |
| 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 | 83 | 2015 |
| Deep affordance foresight: Planning through what can be done in the future D Xu, A Mandlekar, R Martín-Martín, Y Zhu, S Savarese, L Fei-Fei 2021 IEEE international conference on robotics and automation (ICRA), 6206-6213, 2021 | 73 | 2021 |
| Guided conditional diffusion for controllable traffic simulation Z Zhong, D Rempe, D Xu, Y Chen, S Veer, T Che, B Ray, M Pavone 2023 IEEE International Conference on Robotics and Automation (ICRA), 3560-3566, 2023 | 72 | 2023 |
| 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/CVF international conference on computer vision …, 2019 | 67 | 2019 |
| Three-dimensional bounding box from two-dimensional image and point cloud data D Xu, DD Anguelov, A Jain US Patent 10,438,371, 2019 | 65 | 2019 |
| Mimicplay: Long-horizon imitation learning by watching human play C Wang, L Fan, J Sun, R Zhang, L Fei-Fei, D Xu, Y Zhu, A Anandkumar arXiv preprint arXiv:2302.12422, 2023 | 61 | 2023 |
Li Fei-FeiProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
