Yunfei Bai
Yunfei Bai
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Cited by
Cited by
Pybullet, a python module for physics simulation for games, robotics and machine learning
E Coumans, Y Bai
Using simulation and domain adaptation to improve efficiency of deep robotic grasping
K Bousmalis, A Irpan, P Wohlhart, Y Bai, M Kelcey, M Kalakrishnan, ...
2018 IEEE international conference on robotics and automation (ICRA), 4243-4250, 2018
Sim-to-real: Learning agile locomotion for quadruped robots
J Tan, T Zhang, E Coumans, A Iscen, Y Bai, D Hafner, S Bohez, ...
arXiv preprint arXiv:1804.10332, 2018
Dexterous Manipulation Using Both Palm and Fingers
Y Bai, CK Liu
Robotics and Automation (ICRA), 2014 IEEE International Conference on, 1560-1565, 2014
Multi-task domain adaptation for deep learning of instance grasping from simulation
K Fang, Y Bai, S Hinterstoisser, S Savarese, M Kalakrishnan
2018 IEEE International Conference on Robotics and Automation (ICRA), 3516-3523, 2018
Learning 6-dof grasping interaction via deep geometry-aware 3d representations
X Yan, J Hsu, M Khansari, Y Bai, A Pathak, A Gupta, J Davidson, H Lee
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-9, 2018
Human motion reconstruction from force sensors
S Ha, Y Bai, CK Liu
Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer …, 2011
Synthesis of concurrent object manipulation tasks
Y Bai, K Siu, CK Liu
ACM Transactions on Graphics (TOG) 31 (6), 1-9, 2012
Dexterous manipulation of cloth
Y Bai, W Yu, CK Liu
Computer Graphics Forum 35 (2), 523-532, 2016
Artist-directed dynamics for 2D animation
Y Bai, DM Kaufman, CK Liu, J Popović
ACM Transactions on Graphics (TOG) 35 (4), 1-10, 2016
Online object representations with contrastive learning
S Pirk, M Khansari, Y Bai, C Lynch, P Sermanet
arXiv preprint arXiv:1906.04312, 2019
Learning fast adaptation with meta strategy optimization
W Yu, J Tan, Y Bai, E Coumans, S Ha
IEEE Robotics and Automation Letters 5 (2), 2950-2957, 2020
Watch, try, learn: Meta-learning from demonstrations and reward
A Zhou, E Jang, D Kappler, A Herzog, M Khansari, P Wohlhart, Y Bai, ...
arXiv preprint arXiv:1906.03352, 2019
Data-efficient learning for sim-to-real robotic grasping using deep point cloud prediction networks
X Yan, M Khansari, J Hsu, Y Gong, Y Bai, S Pirk, H Lee
arXiv preprint arXiv:1906.08989, 2019
Self-adaptive blind super-resolution image reconstruction
Y Bai, J Hu, Y Luo
2010 3rd International Congress on Image and Signal Processing 3, 1208-1212, 2010
Coupling Cloth and Rigid Bodies for Dexterous Manipulation
Y Bai, CK Liu
ACM SIGGRAPH Conference on Motion in Games, 139-145, 2014
Machine learning methods and apparatus for robotic manipulation and that utilize multi-task domain adaptation
Y Bai, K Fang, S Hinterstoisser, M Kalakrishnan
US Patent 10,773,382, 2020
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
D Ho, K Rao, Z Xu, E Jang, M Khansari, Y Bai
arXiv preprint arXiv:2011.03148, 2020
Robotic grasping prediction using neural networks and geometry aware object representation
J Davidson, X Yan, Y Bai, LEE Honglak, A Gupta, SMK Zadeh, A Pathak, ...
US Patent 10,864,631, 2020
Robotic control based on 3d bounding shape, for an object, generated using edge-depth values for the object
Y Bai, Y Gong
US Patent App. 16/424,363, 2020
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