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Zhuliang Le
Zhuliang Le
在 whu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Fusiondn: A unified densely connected network for image fusion
H Xu, J Ma, Z Le, J Jiang, X Guo
Proceedings of the AAAI conference on artificial intelligence 34 (07), 12484 …, 2020
3262020
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion
H Zhang, Z Le, Z Shao, H Xu, J Ma
Information Fusion 66, 40-53, 2021
2042021
Rfnet: Unsupervised network for mutually reinforcing multi-modal image registration and fusion
H Xu, J Ma, J Yuan, Z Le, W Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
752022
MGMDcGAN: medical image fusion using multi-generator multi-discriminator conditional generative adversarial network
J Huang, Z Le, Y Ma, F Fan, H Zhang, L Yang
IEEE Access 8, 55145-55157, 2020
742020
GANFuse: a novel multi-exposure image fusion method based on generative adversarial networks
Z Yang, Y Chen, Z Le, Y Ma
Neural Computing and Applications 33, 6133-6145, 2021
542021
SMFuse: Multi-focus image fusion via self-supervised mask-optimization
J Ma, Z Le, X Tian, J Jiang
IEEE Transactions on Computational Imaging 7, 309-320, 2021
532021
A deep model for multi-focus image fusion based on gradients and connected regions
H Xu, F Fan, H Zhang, Z Le, J Huang
IEEE Access 8, 26316-26327, 2020
522020
A generative adversarial network with adaptive constraints for multi-focus image fusion
J Huang, Z Le, Y Ma, X Mei, F Fan
Neural Computing and Applications 32, 15119-15129, 2020
342020
UIFGAN: An unsupervised continual-learning generative adversarial network for unified image fusion
Z Le, J Huang, H Xu, F Fan, Y Ma, X Mei, J Ma
Information Fusion 88, 305-318, 2022
322022
Multi-source medical image fusion based on wasserstein generative adversarial networks
Z Yang, Y Chen, Z Le, F Fan, E Pan
IEEE Access 7, 175947-175958, 2019
242019
A cross-direction and progressive network for pan-sharpening
H Xu, Z Le, J Huang, J Ma
Remote Sensing 13 (15), 3045, 2021
102021
A generative adversarial network for medical image fusion
Z Le, J Huang, F Fan, X Tian, J Ma
2020 IEEE International Conference on Image Processing (ICIP), 370-374, 2020
92020
Supplemental Materials of “RFNet: Unsupervised Network for Mutually Reinforcing Multi-modal Image Registration and Fusion”
H Xu, J Ma, J Yuan, Z Le, W Liu
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