| Volumetric and multi-view cnns for object classification on 3d data CR Qi, H Su, M Nießner, A Dai, M Yan, LJ Guibas Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1948 | 2016 |
| A scalable active framework for region annotation in 3d shape collections L Yi, VG Kim, D Ceylan, IC Shen, M Yan, H Su, C Lu, Q Huang, A Sheffer, ... ACM Transactions on Graphics (TOG) 35 (6), 1-12, 2016 | 1188 | 2016 |
| Do as i can, not as i say: Grounding language in robotic affordances M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, C Fu, ... arXiv preprint arXiv:2204.01691, 2022 | 1103 | 2022 |
| Do as i can, not as i say: Grounding language in robotic affordances A Brohan, Y Chebotar, C Finn, K Hausman, A Herzog, D Ho, J Ibarz, ... Conference on robot learning, 287-318, 2023 | 329 | 2023 |
| Meteornet: Deep learning on dynamic 3d point cloud sequences X Liu, M Yan, J Bohg Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 241 | 2019 |
| Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects M Yan, Y Zhu, N Jin, J Bohg IEEE Robotics and Automation Letters 5 (2), 2372-2379, 2020 | 161 | 2020 |
| Jump-start reinforcement learning I Uchendu, T Xiao, Y Lu, B Zhu, M Yan, J Simon, M Bennice, C Fu, C Ma, ... International Conference on Machine Learning, 34556-34583, 2023 | 91 | 2023 |
| Low-threshold Raman laser from an on-chip, high-Q, polymer-coated microcavity BB Li, YF Xiao, MY Yan, WR Clements, Q Gong Optics letters 38 (11), 1802-1804, 2013 | 48 | 2013 |
| Sim-to-real transfer of accurate grasping with eye-in-hand observations and continuous control M Yan, I Frosio, S Tyree, J Kautz arXiv preprint arXiv:1712.03303, 2017 | 46 | 2017 |
| Single-photon transport and mechanical NOON-state generation in microcavity optomechanics XX Ren, HK Li, MY Yan, YC Liu, YF Xiao, Q Gong Physical Review A 87 (3), 033807, 2013 | 45 | 2013 |
| AW-opt: Learning robotic skills with imitation andreinforcement at scale Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ... Conference on Robot Learning, 1078-1088, 2022 | 39 | 2022 |
| 3D reconstruction from full-view fisheye camera C Ma, L Shi, H Huang, M Yan arXiv preprint arXiv:1506.06273, 2015 | 29 | 2015 |
| Dissipative optomechanical coupling between a single-wall carbon nanotube and a high- microcavity MY Yan, HK Li, YC Liu, WL Jin, YF Xiao Physical Review A 88 (2), 023802, 2013 | 26 | 2013 |
| Coupling of diamond nanocrystals to a high- whispering-gallery microresonator XC Yu, YC Liu, MY Yan, WL Jin, YF Xiao Physical Review A 86 (4), 043833, 2012 | 25 | 2012 |
| Grac: Self-guided and self-regularized actor-critic L Shao, Y You, M Yan, S Yuan, Q Sun, J Bohg Conference on Robot Learning, 267-276, 2022 | 24 | 2022 |
| Deep rl at scale: Sorting waste in office buildings with a fleet of mobile manipulators A Herzog, K Rao, K Hausman, Y Lu, P Wohlhart, M Yan, J Lin, MG Arenas, ... arXiv preprint arXiv:2305.03270, 2023 | 23 | 2023 |
| Aw-opt: Learning robotic skills with imitation and reinforcement at scale Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ... arXiv preprint arXiv:2111.05424, 2021 | 20 | 2021 |
| Learning probabilistic multi-modal actor models for vision-based robotic grasping M Yan, A Li, M Kalakrishnan, P Pastor 2019 International Conference on Robotics and Automation (ICRA), 4804-4810, 2019 | 20 | 2019 |
| Learning topological motion primitives for knot planning M Yan, G Li, Y Zhu, J Bohg 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 16 | 2020 |
| Convolutional Imputation of Matrix Networks Q Sun, M Yan, D Donoho International Conference on Machine Learning, 4818-4827, 2018 | 11 | 2018 |
Hao SuUCSD CSE在 ucsd.edu 的电子邮件经过验证
