| 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 | 535 | 2022 |
| A robust infrared small target detection algorithm based on human visual system J Han, Y Ma, B Zhou, F Fan, K Liang, Y Fang IEEE Geoscience and Remote Sensing Letters 11 (12), 2168-2172, 2014 | 461 | 2014 |
| 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 | 257 | 2019 |
| 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 JOSA A 34 (8), 1400-1410, 2017 | 173 | 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 | 144 | 2017 |
| 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 | 116 | 2021 |
| Infrared and visible image fusion using total variation model Y Ma, J Chen, C Chen, F Fan, J Ma Neurocomputing 202, 12-19, 2016 | 114 | 2016 |
| 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 | 84 | 2020 |
| 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 | 75 | 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 | 56 | 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 | 53 | 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 | 51 | 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 | 46 | 2018 |
| Infrared image enhancement algorithm based on adaptive histogram segmentation J Huang, Y Ma, Y Zhang, F Fan Applied optics 56 (35), 9686-9697, 2017 | 38 | 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, 15119-15129, 2020 | 36 | 2020 |
| 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 | 35 | 2022 |
| SQAD: Spatial-Spectral Quasi-Attention Recurrent Network for Hyperspectral Image Denoising E Pan, Y Ma, X Mei, F Fan, J Huang, J Ma IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 32 | 2022 |
| Multi-stage convolutional autoencoder network for hyperspectral unmixing Y Yu, Y Ma, X Mei, F Fan, J Huang, H Li International Journal of Applied Earth Observation and Geoinformation 113 …, 2022 | 29 | 2022 |
| Loop-closure detection using local relative orientation matching J Ma, X Ye, H Zhou, X Mei, F Fan IEEE Transactions on Intelligent Transportation Systems 23 (7), 7896-7909, 2021 | 26 | 2021 |
| Adaptive scale patch-based contrast measure for dim and small infrared target detection Z Qiu, Y Ma, F Fan, J Huang, M Wu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 26 | 2020 |
Huang JunElectronic Information School of Wuhan UniversityПодтвержден адрес электронной почты в домене whu.edu.cn
