| 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 | 1704 | 2019 |
| 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 | 535 | 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 | 420 | 2020 |
| 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 | 393 | 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 | 114 | 2019 |
| Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion P Liang, J Jiang, X Liu, J Ma European Conference on Computer Vision, 719-735, 2022, 2022 | 108 | 2022 |
| 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 | 104 | 2019 |
| 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 | 22* | 2022 |
| Image Deblurring by Exploring In-depth Properties of Transformer P Liang, J Jiang, X Liu, J Ma IEEE Transactions on Neural Networks and Learning Systems, 2024 | 20 | 2024 |
| Fusion from decomposition: A self-supervised approach for image fusion and beyond P Liang, J Jiang, Q Ma, X Liu, J Ma arXiv preprint arXiv:2410.12274, 2024 | 2 | 2024 |
| Decoupling Image Deblurring into Twofold: A Hierarchical Model for Defocus Deblurring P Liang, J Jiang, X Liu, J Ma IEEE Transactions on Computational Imaging, 2024 | 2 | 2024 |
| MaeFuse: Transferring omni features with pretrained masked autoencoders for infrared and visible image fusion via guided training J Li, J Jiang, P Liang, J Ma, L Nie IEEE Transactions on Image Processing, 2025 | 1 | 2025 |
| Deep Denoising Prior: You Only Need a Deep Gaussian Denoiser Q Ma, P Liang, X Zhou, J Ma, J Jiang, Z Peng | | |
Jiayi MaWuhan UniversityAdresă de e-mail confirmată pe whu.edu.cn