| FusionGAN: A generative adversarial network for infrared and visible image fusion J Ma, W Yu, P Liang, C Li, J Jiang Information fusion 48, 11-26, 2019 | 788 | 2019 |
| Infrared and visible image fusion via detail preserving adversarial learning J Ma, P Liang, W Yu, C Chen, X Guo, J Wu, J Jiang Information Fusion 54, 85-98, 2020 | 228 | 2020 |
| Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion J Ma, W Yu, C Chen, P Liang, X Guo, J Jiang Information Fusion 62, 110-120, 2020 | 217 | 2020 |
| GANMcC: A generative adversarial network with multiclassification constraints for infrared and visible image fusion J Ma, H Zhang, Z Shao, P Liang, H Xu IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2020 | 141 | 2020 |
| Deep transfer learning for military object recognition under small training set condition Z Yang, W Yu, P Liang, H Guo, L Xia, F Zhang, Y Ma, J Ma Neural Computing and Applications 31, 6469-6478, 2019 | 72 | 2019 |
| Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators. H Xu, P Liang, W Yu, J Jiang, J Ma IJCAI, 3954-3960, 2019 | 56 | 2019 |
| Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion P Liang, J Jiang, X Liu, J Ma ECCV2022, 0 | 3* | |
| BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring P Liang, J Jiang, X Liu, J Ma IEEE/CAA Journal of Automatica Sinica 9 (5), 878-892, 2022 | 2 | 2022 |
