| U2Fusion: A unified unsupervised image fusion network H Xu, J Ma, J Jiang, X Guo, H Ling IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (1), 502-518, 2022 | 889 | 2022 |
| DDcGAN: A dual-discriminator conditional generative adversarial network for multi-resolution image fusion J Ma, H Xu, J Jiang, X Mei, XP Zhang IEEE Transactions on Image Processing 29, 4980-4995, 2020 | 676 | 2020 |
| Rethinking the image fusion: A fast unified image fusion network based on proportional maintenance of gradient and intensity H Zhang, H Xu, Y Xiao, X Guo, J Ma Proceedings of the AAAI conference on artificial intelligence 34 (07), 12797 …, 2020 | 363 | 2020 |
| Image fusion meets deep learning: A survey and perspective H Zhang, H Xu, X Tian, J Jiang, J Ma Information Fusion 76, 323-336, 2021 | 359 | 2021 |
| 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 | 316 | 2020 |
| 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 | 291 | 2020 |
| 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 | 183 | 2021 |
| MEF-GAN: Multi-exposure image fusion via generative adversarial networks H Xu, J Ma, XP Zhang IEEE Transactions on Image Processing 29, 7203-7216, 2020 | 171 | 2020 |
| EMFusion: An unsupervised enhanced medical image fusion network H Xu, J Ma Information Fusion 76, 177-186, 2021 | 128 | 2021 |
| Classification saliency-based rule for visible and infrared image fusion H Xu, H Zhang, J Ma IEEE Transactions on Computational Imaging 7, 824-836, 2021 | 111 | 2021 |
| DRF: Disentangled representation for visible and infrared image fusion H Xu, X Wang, J Ma IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 102 | 2021 |
| 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 | 80 | 2019 |
| 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 | 57 | 2022 |
| CUFD: An encoder–decoder network for visible and infrared image fusion based on common and unique feature decomposition H Xu, M Gong, X Tian, J Huang, J Ma Computer Vision and Image Understanding 218, 103407, 2022 | 56 | 2022 |
| SDPNet: A deep network for pan-sharpening with enhanced information representation H Xu, J Ma, Z Shao, H Zhang, J Jiang, X Guo IEEE Transactions on Geoscience and Remote Sensing 59 (5), 4120-4134, 2020 | 55 | 2020 |
| Fusing infrared and visible images of different resolutions via total variation model Q Du, H Xu, Y Ma, J Huang, F Fan Sensors 18 (11), 3827, 2018 | 55 | 2018 |
| 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 | 40 | 2020 |
| Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and scene … L Tang, H Zhang, H Xu, J Ma Information Fusion 99, 101870, 2023 | 28 | 2023 |
| Murf: Mutually reinforcing multi-modal image registration and fusion H Xu, J Yuan, J Ma IEEE transactions on pattern analysis and machine intelligence, 2023 | 27 | 2023 |
| Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model X Yi, H Xu, H Zhang, L Tang, J Ma Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 24 | 2023 |
Jiayi MaWuhan Universitywhu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
