| Multi-scale residual network for image super-resolution J Li, F Fang, K Mei, G Zhang Proceedings of the European conference on computer vision (ECCV), 517-532, 2018 | 965 | 2018 |
| Blind image deblurring with local maximum gradient prior L Chen, F Fang, T Wang, G Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 257 | 2019 |
| Liver fibrosis classification based on transfer learning and FCNet for ultrasound images D Meng, L Zhang, G Cao, W Cao, G Zhang, B Hu Ieee Access 5, 5804-5810, 2017 | 169 | 2017 |
| A variational approach for pan-sharpening F Fang, F Li, C Shen, G Zhang IEEE Transactions on Image Processing 22 (7), 2822-2834, 2013 | 162 | 2013 |
| Stylization-based architecture for fast deep exemplar colorization Z Xu, T Wang, F Fang, Y Sheng, G Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 147 | 2020 |
| A classification and Pareto domination based multiobjective evolutionary algorithm J Zhang, A Zhou, G Zhang 2015 IEEE congress on evolutionary computation (CEC), 2883-2890, 2015 | 138 | 2015 |
| Luminance-aware pyramid network for low-light image enhancement J Li, J Li, F Fang, F Li, G Zhang IEEE Transactions on Multimedia 23, 3153-3165, 2020 | 133 | 2020 |
| Structure-preserving deraining with residue channel prior guidance Q Yi, J Li, Q Dai, F Fang, G Zhang, T Zeng Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 127 | 2021 |
| High-quality Bayesian pansharpening T Wang, F Fang, F Li, G Zhang IEEE Transactions on Image Processing 28 (1), 227-239, 2018 | 108 | 2018 |
| A novel retinex-based fractional-order variational model for images with severely low light Z Gu, F Li, F Fang, G Zhang IEEE Transactions on Image Processing 29, 3239-3253, 2019 | 105 | 2019 |
| MDCN: Multi-scale dense cross network for image super-resolution J Li, F Fang, J Li, K Mei, G Zhang IEEE Transactions on Circuits and Systems for Video Technology 31 (7), 2547-2561, 2020 | 100 | 2020 |
| A multiobjective evolutionary algorithm based on decomposition and probability model A Zhou, Q Zhang, G Zhang 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 85 | 2012 |
| EANet: Edge-aware network for the extraction of buildings from aerial images G Yang, Q Zhang, G Zhang Remote Sensing 12 (13), 2161, 2020 | 77 | 2020 |
| Multilevel edge features guided network for image denoising F Fang, J Li, Y Yuan, T Zeng, G Zhang IEEE Transactions on Neural Networks and Learning Systems 32 (9), 3956-3970, 2020 | 74 | 2020 |
| Superpixel-based seamless image stitching for UAV images Y Yuan, F Fang, G Zhang IEEE transactions on geoscience and remote sensing 59 (2), 1565-1576, 2020 | 68 | 2020 |
| Cascaded dilated dense network with two-step data consistency for MRI reconstruction H Zheng, F Fang, G Zhang Advances in Neural Information Processing Systems 32, 2019 | 65 | 2019 |
| Feedback network for mutually boosted stereo image super-resolution and disparity estimation Q Dai, J Li, Q Yi, F Fang, G Zhang Proceedings of the 29th ACM International Conference on Multimedia, 1985-1993, 2021 | 60 | 2021 |
| Edge-guided composition network for image stitching Q Dai, F Fang, J Li, G Zhang, A Zhou Pattern Recognition 118, 108019, 2021 | 55 | 2021 |
| The adversarial attack and detection under the fisher information metric C Zhao, PT Fletcher, M Yu, Y Peng, G Zhang, C Shen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5869-5876, 2019 | 52 | 2019 |
| A superpixel-based variational model for image colorization F Fang, T Wang, T Zeng, G Zhang IEEE Transactions on Visualization and Computer Graphics 26 (10), 2931-2943, 2019 | 51 | 2019 |
