Qinggang Meng
Qinggang Meng
Department of Computer Science, Loughborough University, UK
Потвърден имейл адрес: lboro.ac.uk - Начална страница
An end-to-end steel surface defect detection approach via fusing multiple hierarchical features
Y He, K Song, Q Meng, Y Yan
IEEE Transactions on Instrumentation and Measurement 69 (4), 1493-1504, 2019
Lag synchronization of switched neural networks via neural activation function and applications in image encryption
S Wen, Z Zeng, T Huang, Q Meng, W Yao
IEEE transactions on neural networks and learning systems 26 (7), 1493-1502, 2015
PGA-Net: Pyramid feature fusion and global context attention network for automated surface defect detection
H Dong, K Song, Y He, J Xu, Y Yan, Q Meng
IEEE Transactions on Industrial Informatics 16 (12), 7448-7458, 2019
A heuristic distributed task allocation method for multivehicle multitask problems and its application to search and rescue scenario
W Zhao, Q Meng, PWH Chung
IEEE transactions on cybernetics 46 (4), 902-915, 2015
Visual perception enabled industry intelligence: state of the art, challenges and prospects
J Yang, C Wang, B Jiang, H Song, Q Meng
IEEE Transactions on Industrial Informatics 17 (3), 2204-2219, 2020
Stereoscopic image quality assessment method based on binocular combination saliency model
Y Liu, J Yang, Q Meng, Z Lv, Z Song, Z Gao
Signal Processing 125, 237-248, 2016
Automatic citrus canker detection from leaf images captured in field
M Zhang, Q Meng
Pattern Recognition Letters 32 (15), 2036-2046, 2011
Design issues for assistive robotics for the elderly
Q Meng, MH Lee
Advanced engineering informatics 20 (2), 171-186, 2006
Distributed task rescheduling with time constraints for the optimization of total task allocations in a multirobot system
J Turner, Q Meng, G Schaefer, A Whitbrook, A Soltoggio
IEEE transactions on cybernetics 48 (9), 2583-2597, 2017
Staged competence learning in developmental robotics
MH Lee, Q Meng, F Chao
Adaptive Behavior 15 (3), 241-255, 2007
Unsupervised saliency detection of rail surface defects using stereoscopic images
M Niu, K Song, L Huang, Q Wang, Y Yan, Q Meng
IEEE Transactions on Industrial Informatics 17 (3), 2271-2281, 2020
No reference quality assessment for screen content images using stacked autoencoders in pictorial and textual regions
J Yang, Y Zhao, J Liu, B Jiang, Q Meng, W Lu, X Gao
IEEE transactions on cybernetics 52 (5), 2798-2810, 2020
Monocular vision-based obstacle detection/avoidance for unmanned aerial vehicles
A Al-Kaff, Q Meng, D Martín, A de la Escalera, JM Armingol
2016 IEEE intelligent vehicles symposium (IV), 92-97, 2016
Internet cross-media retrieval based on deep learning
B Jiang, J Yang, Z Lv, K Tian, Q Meng, Y Yan
Journal of Visual Communication and Image Representation 48, 356-366, 2017
A consensus-based grouping algorithm for multi-agent cooperative task allocation with complex requirements
S Hunt, Q Meng, C Hinde, T Huang
Cognitive computation 6, 338-350, 2014
Reliable, distributed scheduling and rescheduling for time-critical, multiagent systems
A Whitbrook, Q Meng, PWH Chung
IEEE Transactions on Automation Science and Engineering 15 (2), 732-747, 2017
Developmental learning for autonomous robots
MH Lee, Q Meng, F Chao
Robotics and Autonomous Systems 55 (9), 750-759, 2007
Recognition of human periodic movements from unstructured information using a motion-based frequency domain approach
Q Meng, B Li, H Holstein
Image and Vision Computing 24 (8), 795-809, 2006
A blind stereoscopic image quality evaluator with segmented stacked autoencoders considering the whole visual perception route
J Yang, K Sim, X Gao, W Lu, Q Meng, B Li
IEEE Transactions on Image Processing 28 (3), 1314-1328, 2018
Point pattern matching and applications-a review
B Li, Q Meng, H Holstein
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems …, 2003
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