| DIDFuse: Deep image decomposition for infrared and visible image fusion Z Zhao, S Xu, C Zhang, J Liu, P Li, J Zhang arXiv preprint arXiv:2003.09210, 2020 | 146 | 2020 |
| Deep gradient projection networks for pan-sharpening S Xu, J Zhang, Z Zhao, K Sun, J Liu, C Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 125 | 2021 |
| Cddfuse: Correlation-driven dual-branch feature decomposition for multi-modality image fusion Z Zhao, H Bai, J Zhang, Y Zhang, S Xu, Z Lin, R Timofte, L Van Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 109 | 2023 |
| Efficient and model-based infrared and visible image fusion via algorithm unrolling Z Zhao, S Xu, J Zhang, C Liang, C Zhang, J Liu IEEE Transactions on Circuits and Systems for Video Technology 32 (3), 1186-1196, 2021 | 102 | 2021 |
| Bayesian fusion for infrared and visible images Z Zhao, S Xu, C Zhang, J Liu, J Zhang Signal Processing 177, 107734, 2020 | 92 | 2020 |
| Discrete cosine transform network for guided depth map super-resolution Z Zhao, J Zhang, S Xu, Z Lin, H Pfister Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 78 | 2022 |
| Identifying important nodes by adaptive LeaderRank S Xu, P Wang Physica A: Statistical Mechanics and its Applications 469, 654-664, 2017 | 64 | 2017 |
| HAM-MFN: Hyperspectral and multispectral image multiscale fusion network with RAP loss S Xu, O Amira, J Liu, CX Zhang, J Zhang, G Li IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4618-4628, 2020 | 51 | 2020 |
| MFFW: A new dataset for multi-focus image fusion S Xu, X Wei, C Zhang, J Liu, J Zhang arXiv preprint arXiv:2002.04780, 2020 | 47 | 2020 |
| DDFM: denoising diffusion model for multi-modality image fusion Z Zhao, H Bai, Y Zhu, J Zhang, S Xu, Y Zhang, K Zhang, D Meng, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 45 | 2023 |
| A novel variational Bayesian method for variable selection in logistic regression models CX Zhang, S Xu, JS Zhang Computational Statistics & Data Analysis 133, 1-19, 2019 | 40 | 2019 |
| PercepPan: Towards unsupervised pan-sharpening based on perceptual loss C Zhou, J Zhang, J Liu, C Zhang, R Fei, S Xu Remote Sensing 12 (14), 2318, 2020 | 38 | 2020 |
| Spectral learning algorithm reveals propagation capability of complex networks S Xu, P Wang, CX Zhang, JJ Lü IEEE transactions on cybernetics 49 (12), 4253-4261, 2018 | 35 | 2018 |
| Seismic fault detection using convolutional neural networks with focal loss XL Wei, CX Zhang, SW Kim, KL Jing, YJ Wang, S Xu, ZZ Xie Computers & Geosciences 158, 104968, 2022 | 31 | 2022 |
| MFIF-GAN: A new generative adversarial network for multi-focus image fusion Y Wang, S Xu, J Liu, Z Zhao, C Zhang, J Zhang Signal Processing: Image Communication 96, 116295, 2021 | 31 | 2021 |
| Towards reducing severe defocus spread effects for multi-focus image fusion via an optimization based strategy S Xu, L Ji, Z Wang, P Li, K Sun, C Zhang, J Zhang IEEE Transactions on Computational Imaging 6, 1561-1570, 2020 | 31 | 2020 |
| Iterative neighbour-information gathering for ranking nodes in complex networks S Xu, P Wang, J Lü Scientific reports 7 (1), 41321, 2017 | 25 | 2017 |
| Bayesian deep matrix factorization network for multiple images denoising S Xu, C Zhang, J Zhang Neural Networks 123, 420-428, 2020 | 24 | 2020 |
| FGF-GAN: A lightweight generative adversarial network for pansharpening via fast guided filter Z Zhao, J Zhan, S Xu, K Sun, L Huang, J Liu, C Zhang 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 20 | 2021 |
| A model-driven network for guided image denoising S Xu, J Zhang, J Wang, K Sun, C Zhang, J Liu, J Hu Information Fusion 85, 60-71, 2022 | 17 | 2022 |
张春霞 Zhang Chun-Xia西安交通大学 数学与统计学院 副教授 Xi'an Jiaotong University, School of Mathematics and StatisticsVerified email at mail.xjtu.edu.cn
