Ming Liu
Ming Liu
ROAS Thrust, Hong Kong University of Science and Technology (GZ)
Verified email at - Homepage
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Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation
L Tai, G Paolo, M Liu
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
Tightly coupled 3d lidar inertial odometry and mapping
H Ye, Y Chen, M Liu
2019 International Conference on Robotics and Automation (ICRA), 3144-3150, 2019
Improving RGB-D SLAM in dynamic environments: A motion removal approach
Y Sun, M Liu, MQH Meng
Robotics and Autonomous Systems 89, 110-122, 2017
Rtfnet: Rgb-thermal fusion network for semantic segmentation of urban scenes
Y Sun, W Zuo, M Liu
IEEE Robotics and Automation Letters 4 (3), 2576-2583, 2019
Lifelong federated reinforcement learning: a learning architecture for navigation in cloud robotic systems
B Liu, L Wang, M Liu
IEEE Robotics and Automation Letters 4 (4), 4555-4562, 2019
Lins: A lidar-inertial state estimator for robust and efficient navigation
C Qin, H Ye, CE Pranata, J Han, S Zhang, M Liu
2020 IEEE international conference on robotics and automation (ICRA), 8899-8906, 2020
A deep-network solution towards model-less obstacle avoidance
L Tai, S Li, M Liu
2016 IEEE/RSJ international conference on intelligent robots and systems …, 2016
Challenging Data Sets for Point Cloud Registration Algorithms
F Pomerleau, M Liu, F Colas, R Siegwart
The International Journal of Robotics Research, 2012
Road crack detection using deep convolutional neural network and adaptive thresholding
R Fan, MJ Bocus, Y Zhu, J Jiao, L Wang, F Ma, S Cheng, M Liu
2019 IEEE Intelligent Vehicles Symposium (IV), 474-479, 2019
Socially compliant navigation through raw depth inputs with generative adversarial imitation learning
L Tai, J Zhang, M Liu, W Burgard
2018 IEEE international conference on robotics and automation (ICRA), 1111-1117, 2018
A robot exploration strategy based on q-learning network
L Tai, M Liu
2016 ieee international conference on real-time computing and robotics (rcar …, 2016
Pothole detection based on disparity transformation and road surface modeling
R Fan, U Ozgunalp, B Hosking, M Liu, I Pitas
IEEE Transactions on Image Processing 29, 897-908, 2019
Sne-roadseg: Incorporating surface normal information into semantic segmentation for accurate freespace detection
R Fan, H Wang, P Cai, M Liu
European Conference on Computer Vision, 340-356, 2020
Motion removal for reliable RGB-D SLAM in dynamic environments
Y Sun, M Liu, MQH Meng
Robotics and Autonomous Systems 108, 115-128, 2018
Neural slam: Learning to explore with external memory
J Zhang, L Tai, M Liu, J Boedecker, W Burgard
arXiv preprint arXiv:1706.09520, 2017
Activate or not: Learning customized activation
N Ma, X Zhang, M Liu, J Sun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Pointseg: Real-time semantic segmentation based on 3d lidar point cloud
Y Wang, T Shi, P Yun, L Tai, M Liu
arXiv preprint arXiv:1807.06288, 2018
Robotic Online Path Planning on Point Cloud
M Liu
IEEE Transactions on Cybernetics 46 (5), 1217-1228, 2016
Core–shell–shell upconversion nanoparticles with enhanced emission for wireless optogenetic inhibition
X Lin, X Chen, W Zhang, T Sun, P Fang, Q Liao, X Chen, J He, M Liu, ...
Nano letters 18 (2), 948-956, 2018
FuseSeg: Semantic segmentation of urban scenes based on RGB and thermal data fusion
Y Sun, W Zuo, P Yun, H Wang, M Liu
IEEE Transactions on Automation Science and Engineering 18 (3), 1000-1011, 2020
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