Zhuliang Le
Title
Cited by
Cited by
Year
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
282020
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
72021
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
62020
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
62019
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 (18), 15119-15129, 2020
52020
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, 1-13, 2020
22020
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
22020
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
12020
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