| SwinFusion: Cross-domain long-range learning for general image fusion via swin transformer J Ma, L Tang, F Fan, J Huang, X Mei, Y Ma IEEE/CAA Journal of Automatica Sinica 9 (7), 1200-1217, 2022 | 1404 | 2022 |
| PIAFusion: A progressive infrared and visible image fusion network based on illumination aware L Tang, J Yuan, H Zhang, X Jiang, J Ma Information Fusion 83, 79-92, 2022 | 1100 | 2022 |
| Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network L Tang, J Yuan, J Ma Information Fusion 82, 28-42, 2022 | 1064 | 2022 |
| STDFusionNet: An infrared and visible image fusion network based on salient target detection J Ma, L Tang, M Xu, H Zhang, G Xiao IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 633 | 2021 |
| DIVFusion: Darkness-free infrared and visible image fusion L Tang, X Xiang, H Zhang, M Gong, J Ma Information Fusion 91, 477-493, 2022 | 485 | 2022 |
| SuperFusion: A versatile image registration and fusion network with semantic awareness L Tang, Y Deng, Y Ma, J Huang, J Ma IEEE/CAA Journal of Automatica Sinica 9 (12), 2121-2137, 2022 | 451 | 2022 |
| 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 | 355 | 2023 |
| 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 | 351 | 2023 |
| Text-if: Leveraging semantic text guidance for degradation-aware and interactive image fusion X Yi, H Xu, H Zhang, L Tang, J Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 228 | 2024 |
| Diff-IF: Multi-modality image fusion via diffusion model with fusion knowledge prior X Yi, L Tang, H Zhang, H Xu, J Ma Information Fusion 110, 102450, 2024 | 174 | 2024 |
| Deep learning-based image fusion: A survey L Tang, H Zhang, H Xu, J Ma Journal of Image and Graphics 28 (1), 3-36, 2023 | 98 | 2023 |
| CAMF: An interpretable infrared and visible image fusion network based on class activation mapping L Tang, Z Chen, J Huang, J Ma IEEE Transactions on Multimedia 26, 4776-4791, 2023 | 69 | 2023 |
| Infrared and visible image fusion via parallel scene and texture learning M Xu, L Tang, H Zhang, J Ma Pattern Recognition 132, 108929, 2022 | 67 | 2022 |
| DRMF: Degradation-Robust Multi-Modal Image Fusion via Composable Diffusion Prior L Tang, Y Deng, X Yi, Q Yan, Y Yuan, J Ma ACM Multimedia 2024, 8546-8555, 2024 | 65 | 2024 |
| GTMFuse: Group-attention transformer-driven multiscale dense feature-enhanced network for infrared and visible image fusion L Mei, X Hu, Z Ye, L Tang, Y Wang, D Li, Y Liu, X Hao, C Lei, C Xu, ... Knowledge-Based Systems 293, 111658, 2024 | 60 | 2024 |
| Dispel darkness for better fusion: A controllable visual enhancer based on cross-modal conditional adversarial learning H Zhang, L Tang, X Xiang, X Zuo, J Ma Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 42 | 2024 |
| Diff-Retinex++: Retinex-driven reinforced diffusion model for low-light image enhancement X Yi, H Xu, H Zhang, L Tang, J Ma IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 38 | 2025 |
| C2RF: Bridging Multi-modal Image Registration and Fusion via Commonality Mining and Contrastive Learning L Tang, Q Yan, X Xiang, L Fang, J Ma International Journal of Computer Vision 133, 5262–5280, 2025 | 37 | 2025 |
| DRLIE: Flexible low-light image enhancement via disentangled representations L Tang, J Ma, H Zhang, X Guo IEEE Transactions on Neural Networks and Learning Systems 35 (2), 2694-2707, 2024 | 33 | 2024 |
| 基于深度学习的图像融合方法综述 唐霖峰， 张浩， 徐涵， 马佳义 中国图象图形学报 28 (1), 3-36, 2024 | 30 | 2024 |
Jiayi MaWuhan UniversityVerified email at whu.edu.cn
