Xiaomin Yang
Xiaomin Yang
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Cited by
Cited by
Feedback network for image super-resolution
Z Li, J Yang, Z Liu, X Yang, G Jeon, W Wu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
SEDRFuse: A symmetric encoder–decoder with residual block network for infrared and visible image fusion
L Jian, X Yang, Z Liu, G Jeon, M Gao, D Chisholm
IEEE Transactions on Instrumentation and Measurement 70, 1-15, 2020
Infrared and visible image fusion with the use of multi-scale edge-preserving decomposition and guided image filter
W Gan, X Wu, W Wu, X Yang, C Ren, X He, K Liu
Infrared Physics & Technology 72, 37-51, 2015
A survey on active noise control in the past decade—Part I: Linear systems
L Lu, KL Yin, RC de Lamare, Z Zheng, Y Yu, X Yang, B Chen
Signal Processing 183, 108039, 2021
Coupled GAN with relativistic discriminators for infrared and visible images fusion
Q Li, L Lu, Z Li, W Wu, Z Liu, G Jeon, X Yang
IEEE Sensors Journal 21 (6), 7458-7467, 2019
A survey on active noise control in the past decade–Part II: Nonlinear systems
L Lu, KL Yin, RC de Lamare, Z Zheng, Y Yu, X Yang, B Chen
Signal Processing 181, 107929, 2021
Security risk modeling in smart grid critical infrastructures in the era of big data and artificial intelligence
A Chehri, I Fofana, X Yang
Sustainability 13 (6), 3196, 2021
Multi-scale image fusion through rolling guidance filter
L Jian, X Yang, Z Zhou, K Zhou, K Liu
Future Generation Computer Systems 83, 310-325, 2018
An automated vision system for container-code recognition
W Wu, Z Liu, M Chen, X Yang, X He
Expert Systems with Applications 39 (3), 2842-2855, 2012
杨晓敏, 吴炜, 卿粼波, 华骅, 何小海
光学精密工程 17 (9), 2276-2282, 2009
Combining unmanned aerial vehicles with artificial-intelligence technology for traffic-congestion recognition: electronic eyes in the skies to spot clogged roads
L Jian, Z Li, X Yang, W Wu, A Ahmad, G Jeon
IEEE Consumer Electronics Magazine 8 (3), 81-86, 2019
Video superresolution reconstruction based on subpixel registration and iterative back projection
F Qin, X He, W Chen, X Yang, W Wu
Journal of Electronic Imaging 18 (1), 013007-013007-11, 2009
A trusted medical image super-resolution method based on feedback adaptive weighted dense network
L Chen, X Yang, G Jeon, M Anisetti, K Liu
Artificial Intelligence in Medicine 106, 101857, 2020
Medical images fusion by using weighted least squares filter and sparse representation
W Jiang, X Yang, W Wu, K Liu, A Ahmad, AK Sangaiah, G Jeon
Computers & Electrical Engineering 67, 252-266, 2018
A multifocus image fusion method by using hidden Markov model
W Wu, X Yang, Y Pang, J Peng, G Jeon
Optics Communications 287, 63-72, 2013
An adaptive pansharpening method by using weighted least squares filter
Y Song, W Wu, Z Liu, X Yang, K Liu, W Lu
IEEE Geoscience and Remote Sensing Letters 13 (1), 18-22, 2015
Medical image fusion method by using Laplacian pyramid and convolutional sparse representation
F Liu, L Chen, L Lu, A Ahmad, G Jeon, X Yang
Concurrency and Computation: Practice and Experience 32 (17), e5632, 2020
Gated multiple feedback network for image super-resolution
Q Li, Z Li, L Lu, G Jeon, K Liu, X Yang
arXiv preprint arXiv:1907.04253, 2019
Recursive Geman–McClure estimator for implementing second-order Volterra filter
L Lu, W Wang, X Yang, W Wu, G Zhu
IEEE Transactions on Circuits and Systems II: Express Briefs 66 (7), 1272-1276, 2018
A high accuracy flow segmentation method in crowded scenes based on streakline
X Wang, X Yang, X He, Q Teng, M Gao
Optik 125 (3), 924-929, 2014
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