| EgeFusion: Towards Edge Gradient Enhancement in Infrared and Visible Image Fusion With Multi-Scale Transform H Tang, G Liu, Y Qian, J Wang, J Xiong IEEE Transactions on Computational Imaging, 2024 | 13 | 2024 |
| BTSFusion: Fusion of infrared and visible image via a mechanism of balancing texture and salience Y Qian, G Liu, H Tang, M Xing, R Chang Optics and Lasers in Engineering 173, 107925, 2024 | 12 | 2024 |
| Multi-level adaptive perception guidance based infrared and visible image fusion M Xing, G Liu, H Tang, Y Qian, J Zhang Optics and Lasers in Engineering 171, 107804, 2023 | 12 | 2023 |
| DANT-GAN: A dual attention-based of nested training network for infrared and visible image fusion K Li, G Liu, X Gu, H Tang, J Xiong, Y Qian Digital Signal Processing 145, 104316, 2024 | 11 | 2024 |
| MPCFusion: Multi-scale parallel cross fusion for infrared and visible images via convolution and vision Transformer H Tang, Y Qian, M Xing, Y Cao, G Liu Optics and Lasers in Engineering 176, 108094, 2024 | 6 | 2024 |
| Multiscale feature pyramid network based on activity level weight selection for infrared and visible image fusion R Xu, G Liu, Y Xie, BD Prasad, Y Qian, M Xing JOSA A 39 (12), 2193-2204, 2022 | 4 | 2022 |
| CFNet: An infrared and visible image compression fusion network M Xing, G Liu, H Tang, Y Qian, J Zhang Pattern Recognition 156, 110774, 2024 | 1 | 2024 |
| MRASFusion: A multi-scale residual attention infrared and visible image fusion network based on semantic segmentation guidance R An, G Liu, Y Qian, M Xing, H Tang Infrared Physics & Technology 139, 105343, 2024 | 1 | 2024 |
| Infrared and visible image fusion method based on visual saliency objects and fuzzy region attributes G Liu, J Wang, Y Qian, Y Li The Visual Computer, 1-17, 2024 | 1 | 2024 |
| LiMFusion: Infrared and visible image fusion via local information measurement Y Qian, H Tang, G Liu, M Xing, G Xiao, DP Bavirisetti Optics and Lasers in Engineering 181, 108435, 2024 | | 2024 |
| GAN-GA: infrared and visible image fusion generative adversarial network based on global awareness J Wu, G Liu, X Wang, H Tang, Y Qian Applied Intelligence, 1-21, 2024 | | 2024 |
| RDGMEF: a multi-exposure image fusion framework based on Retinex decompostion and guided filter R Chang, G Liu, H Tang, Y Qian, J Tang Neural Computing and Applications, 1-20, 2024 | | 2024 |
Gang LiuShanghai University of Electrical Power在 shiep.edu.cn 的电子邮件经过验证
