Παρακολούθηση
Mengyuan Yan
Mengyuan Yan
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα stanford.edu
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
19722016
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
12142016
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
12012022
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
3682023
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
2462019
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
1652020
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
1042023
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
482013
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
472017
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
462013
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
402022
3D reconstruction from full-view fisheye camera
C Ma, L Shi, H Huang, M Yan
arXiv preprint arXiv:1506.06273, 2015
292015
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
262013
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
252023
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
252012
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
242022
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
222021
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
212019
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
162020
Convolutional Imputation of Matrix Networks
Q Sun, M Yan, D Donoho
International Conference on Machine Learning, 4818-4827, 2018
112018
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