| 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 | 1052 | 2016 |
| 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 | 586 | 2022 |
| Spectral-Spatial Attention Networks for Hyperspectral Image Classification X Mei, E Pan, Y Ma, X Dai, J Huang, F Fan, Q Du, H Zheng, J Ma Remote Sensing 11 (8), 963, 2019 | 265 | 2019 |
| 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 | 230 | 2022 |
| Infrared and visible image fusion via saliency analysis and local edge-preserving multi-scale decomposition X Zhang, Y Ma, F Fan, Y Zhang, J Huang JOSAA 34 (8), 1400-1410, 2017 | 179 | 2017 |
| Hyperspectral image denoising with superpixel segmentation and low-rank representation F Fan, Y Ma, C Li, X Mei, J Huang, J Ma Information Sciences 397, 48-68, 2017 | 147 | 2017 |
| An Infrared Small Target Detecting Algorithm Based on Human Visual System J Han, Y Ma, J Huang, X Mei, J Ma IEEE Geoscience and Remote Sensing Letters 13 (3), 452-456, 2016 | 143 | 2016 |
| Hyperspectral anomaly detection with robust graph autoencoders G Fan, Y Ma, X Mei, F Fan, J Huang, J Ma IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 127 | 2021 |
| A double-neighborhood gradient method for infrared small target detection L Wu, Y Ma, F Fan, M Wu, J Huang IEEE Geoscience and Remote Sensing Letters 18 (8), 1476-1480, 2020 | 92 | 2020 |
| 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 | 87 | 2022 |
| Hyperspectral image denoising using the robust low-rank tensor recovery C Li, Y Ma, J Huang, X Mei, J Ma JOSA A 32 (9), 1604-1612, 2015 | 86 | 2015 |
| MGMDcGAN: Medical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial Network J Huang, Z Le, Y Ma, F Fan, H Zhang, L Yang IEEE Access 8, 55145-55157, 2020 | 78 | 2020 |
| Hyperspectral anomaly detection via integration of feature extraction and background purification Y Ma, G Fan, Q Jin, J Huang, X Mei, J Ma IEEE Geoscience and Remote Sensing Letters 18 (8), 1436-1440, 2020 | 59 | 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 | 59 | 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 | 56 | 2020 |
| Adversarial autoencoder network for hyperspectral unmixing Q Jin, Y Ma, F Fan, J Huang, X Mei, J Ma IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4555-4569, 2021 | 55 | 2021 |
| Robust GBM hyperspectral image unmixing with superpixel segmentation based low rank and sparse representation X Mei, Y Ma, C Li, F Fan, J Huang, J Ma Neurocomputing 275, 2783-2797, 2018 | 47 | 2018 |
| UIFGAN: An unsupervised continual-learning generative adversarial network for unified image fusion Z Le, J Huang, H Xu, F Fan, Y Ma, X Mei, J Ma Information Fusion 88, 305-318, 2022 | 39 | 2022 |
| Infrared image enhancement algorithm based on adaptive histogram segmentation J Huang, Y Ma, Y Zhang, F Fan Applied Optics 56 (35), 9686-9697, 2017 | 39 | 2017 |
| A generative adversarial network with adaptive constraints for multi-focus image fusion J Huang, Z Le, Y Ma, X Mei, F Fan Neural Computing and Applications 32 (18), 15119-15129, 2020 | 37 | 2020 |
Fan FanWuhan UniversityVerified email at whu.edu.cn
