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Lei Shi
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Año
Understand scene categories by objects: A semantic regularized scene classifier using convolutional neural networks
Y Liao, S Kodagoda, Y Wang, L Shi, Y Liu
2016 IEEE international conference on robotics and automation (ICRA), 2318-2325, 2016
1292016
Accurate and real-time 3-D tracking for the following robots by fusing vision and ultrasonar information
M Wang, Y Liu, D Su, Y Liao, L Shi, J Xu, JV Miro
IEEE/ASME Transactions on Mechatronics 23 (3), 997-1006, 2018
592018
Robotic pipeline wall thickness evaluation for dense nondestructive testing inspection
J Valls Miro, N Ulapane, L Shi, D Hunt, M Behrens
Journal of Field Robotics 35 (8), 1293-1310, 2018
472018
Laser range data based semantic labeling of places
L Shi, S Kodagoda, G Dissanayake
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
452010
Road-Terrain Classification for Land Vehicles: Employing an Acceleration-Based Approach
S Wang, S Kodagoda, L Shi, H Wang
IEEE Vehicular Technology Magazine 12 (3), 34-41, 2017
342017
Place classification with a graph regularized deep neural network
Y Liao, S Kodagoda, Y Wang, L Shi, Y Liu
IEEE Transactions on Cognitive and Developmental Systems 9 (4), 304-315, 2016
322016
Time-dependent spectral features for limb position invariant myoelectric pattern recognition
RN Khushaba, L Shi, S Kodagoda
2012 International Symposium on Communications and Information Technologies …, 2012
312012
Real-time 3D human tracking for mobile robots with multisensors
M Wang, D Su, L Shi, Y Liu, JV Miro
2017 IEEE International Conference on Robotics and Automation (ICRA), 5081-5087, 2017
242017
Multi-class classification for semantic labeling of places
L Shi, S Kodagoda, G Dissanayake
2010 11th International Conference on Control Automation Robotics & Vision …, 2010
192010
Two-stage road terrain identification approach for land vehicles using feature-based and Markov random field algorithm
S Wang, S Kodagoda, L Shi, X Dai
IEEE Intelligent Systems 33 (1), 29-39, 2017
172017
Fast indoor scene classification using 3D point clouds
L Shi, S Kodagoda, R Ranasinghe
Proceedings of Australasian Conference on Robotics and Automation, 2011
162011
Towards generalization of semi-supervised place classification over generalized Voronoi graph
L Shi, S Kodagoda
Robotics and Autonomous Systems 61 (8), 785-796, 2013
142013
Application of semi-supervised learning with Voronoi Graph for place classification
L Shi, S Kodagoda, G Dissanayake
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012
142012
Towards open-set semantic labeling in 3D point clouds: Analysis on the unknown class
H Ma, R Xiong, Y Wang, S Kodagoda, L Shi
Neurocomputing 275, 1282-1294, 2018
122018
Kernel-Specific Gaussian Process for Predicting Pipe Wall Thickness Maps
L Shi, L Sun, T Vidal-Calleja, JV Miro
Australasian Conf. Robotics and Automation (ACRA), 2015
82015
Application of CRF and SVM based semi-supervised learning for semantic labeling of environments
L Shi, R Khushaba, S Kodagoda, G Dissanayake
2012 12th International Conference on Control Automation Robotics & Vision …, 2012
82012
Towards simultaneous place classification and object detection based on conditional random field with multiple cues
L Shi, S Kodagoda, M Piccardi
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
62013
Environment Classification and Semantic Grid Map Building Based on Laser Range Finder Data
L Shi, S Kodagoda, G Dissanayake
SPME, 2010
62010
Multi-modal Scene-compliant User Intention Estimation in Navigation
K Katuwandeniya, SH Kiss, L Shi, JV Miro
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
52021
A method of state estimation for underwater vehicle navigation around a cylindrical structure
T Zhang, S Huang, D Liu, L Shi, C Zhou, R Xiong
2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA …, 2016
52016
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