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 | 1014 | 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 | 175 | 2020 |
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 | 143 | 2021 |
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 | 138 | 2015 |
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 | 114 | 2021 |
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 | 105 | 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 | 105 | 2019 |
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 | 77 | 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 | 72 | 2012 |
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 | 71 | 2019 |
图像特征点提取及匹配技术 杨晓敏, 吴炜, 卿粼波, 华骅, 何小海 光学精密工程 17 (9), 2276-2282, 2009 | 68 | 2009 |
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 | 59 | 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 | 55 | 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 | 49 | 2018 |
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 | 47 | 2015 |
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 | 47 | 2013 |
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 | 46 | 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 | 46 | 2018 |
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 | 45 | 2020 |
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 | 41 | 2014 |