| 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 | 1593 | 2019 |
| Infrared and visible image fusion methods and applications: A survey J Ma, Y Ma, C Li Information Fusion 45, 153-178, 2019 | 1455 | 2019 |
| 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 | 1303 | 2022 |
| Infrared and visible image fusion via gradient transfer and total variation minimization J Ma, C Chen, C Li, J Huang Information Fusion 31, 100-109, 2016 | 1061 | 2016 |
| 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 | 919 | 2020 |
| Image matching from handcrafted to deep features: A survey J Ma, X Jiang, A Fan, J Jiang, J Yan International Journal of Computer Vision 129 (1), 23-79, 2021 | 855 | 2021 |
| Multi-scale progressive fusion network for single image deraining K Jiang, Z Wang, P Yi, C Chen, B Huang, Y Luo, J Ma, J Jiang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8346-8355, 2020 | 736 | 2020 |
| 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 | 624 | 2022 |
| Locality preserving matching J Ma, J Zhao, J Jiang, H Zhou, X Guo International Journal of Computer Vision 127, 512-531, 2019 | 618 | 2019 |
| Beyond Brightening Low-light Images Y Zhang, X Guo, J Ma, W Liu, J Zhang International Journal of Computer Vision 129 (4), 1013-1037, 2021 | 617 | 2021 |
| Robust point matching via vector field consensus J Ma, J Zhao, J Tian, AL Yuille, Z Tu IEEE Transactions on Image Processing 23 (4), 1706-1721, 2014 | 593 | 2014 |
| 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 | 529 | 2022 |
| 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 | 515 | 2021 |
| Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming J Ma, H Zhou, J Zhao, Y Gao, J Jiang, J Tian IEEE Transactions on Geoscience and Remote Sensing 53 (12), 6469-6481, 2015 | 506 | 2015 |
| 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 AAAI Conference on Artificial Intelligence, 12797-12804, 2020 | 495 | 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, 5005014, 2021 | 482 | 2021 |
| 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 | 451 | 2022 |
| 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 | 397 | 2020 |
| FusionDN: A Unified Densely Connected Network for Image Fusion H Xu, J Ma, Z Le, J Jiang, X Guo AAAI Conference on Artificial Intelligence, 12484-12491, 2020 | 394 | 2020 |
| A review of multimodal image matching: Methods and applications X Jiang, J Ma, G Xiao, Z Shao, X Guo Information Fusion 73, 22-71, 2021 | 386 | 2021 |
Junjun JiangHarbin Institute of TechnologyVerified email at hit.edu.cn
