Lin Shao
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Large-scale 3d shape reconstruction and segmentation from shapenet core55
L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ...
arXiv preprint arXiv:1710.06104, 2017
Motion-based Object Segmentation based on Dense RGB-D Scene Flow
L Shao, P Shah, V Dwaracherla, J Bohg
arXiv preprint arXiv:1804.05195, 2018
Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations
L Shao, T Migimatsu, Q Zhang, K Yang, J Bohg
Proceedings of Robotics: Science and Systems (RSS) 2020, 2020
UniGrasp: Learning a Unified Model to Grasp with Multifingered Robotic Hands
L Shao, F Ferreira, M Jorda, V Nambiar, J Luo, E Solowjow, JA Ojea, ...
arXiv preprint arXiv:1910.10900, 2019
Learning 3d part assembly from a single image
Y Li, K Mo, L Shao, M Sung, L Guibas
European Conference on Computer Vision, 664-682, 2020
ClusterNet: 3D Instance Segmentation in RGB-D Images
L Shao, Y Tian, J Bohg
arXiv preprint arXiv:1807.08894, 2018
Cross-modal Attribute Transfer for Rescaling 3D Models
L Shao, AX Chang, H Su, M Savva, L Guibas
Generative 3d part assembly via dynamic graph learning
J Huang, G Zhan, Q Fan, K Mo, L Shao, B Chen, L Guibas, H Dong
arXiv preprint arXiv:2006.07793, 2020
Learning visual dynamics models of rigid objects using relational inductive biases
F Ferreira, L Shao, T Asfour, J Bohg
arXiv preprint arXiv:1909.03749, 2019
Learning to Scaffold the Development of Robotic Manipulation Skills
L Shao, T Migimatsu, J Bohg
2020 IEEE International Conference on Robotics and Automation (ICRA), 5671-5677, 2020
Design and Control of Roller Grasper V2 for In-Hand Manipulation
S Yuan, L Shao, CL Yako, A Gruebele, JK Salisbury
arXiv preprint arXiv:2004.08499, 2020
OmniHang: Learning to Hang Arbitrary Objects Using Contact Point Correspondences and Neural Collision Estimation
Y You, L Shao, T Migimatsu, J Bohg
arXiv preprint arXiv:2103.14283, 2021
GRAC: Self-Guided and Self-Regularized Actor-Critic
L Shao, Y You, M Yan, Q Sun, J Bohg
arXiv preprint arXiv:2009.08973, 2020
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Articles 1–13