| Multi-scale residual network for image super-resolution J Li, F Fang, K Mei, G Zhang ECCV, 2018 | 592 | 2018 |
| NTIRE 2018 challenge on image dehazing: Methods and results C Ancuti, CO Ancuti, R Timofte, L Van Gool, L Zhang, MH Yang, VM Patel, ... CVPR Workshop, 2018 | 141 | 2018 |
| Soft-Edge Assisted Network for Single Image Super-Resolution F Fang, J Li, T Zeng IEEE Transactions on Image Processing (TIP) 29, 4656-4668, 2020 | 96 | 2020 |
| Progressive feature fusion network for realistic image dehazing K Mei, A Jiang, J Li, M Wang ACCV, 2018 | 90 | 2018 |
| Transformer for single image super-resolution Z Lu#, J Li#, H Liu, C Huang, L Zhang, T Zeng CVPR Workshop, 2022 | 79* | 2022 |
| 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 (TCSVT) 31 (7 …, 2020 | 55 | 2020 |
| Luminance-aware Pyramid Network for Low-light Image Enhancement J Li#, J Li#, F Fang, F Li, G Zhang IEEE Transactions on Multimedia (TMM) 23, 3153 - 3165, 2020 | 42 | 2020 |
| Aim 2019 challenge on raw to rgb mapping: Methods and results A Ignatov, R Timofte, SJ Ko, SW Kim, KH Uhm, SW Ji, SJ Cho, JP Hong, ... ICCV Workshop, 2019 | 31 | 2019 |
| 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 (TNNLS) 32 (9 …, 2020 | 30 | 2020 |
| Structure-Preserving Deraining with Residue Channel Prior Guidance Q Yi, J Li, Q Dai, F Fang, G Zhang, T Zeng ICCV, 2021 | 28 | 2021 |
| From beginner to master: A survey for deep learning-based single-image super-resolution J Li, Z Pei, T Zeng arXiv preprint arXiv:2109.14335, 2021 | 26 | 2021 |
| Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution J Li, Y Yuan, K Mei, F Fang ICCV Workshop (Oral), 2019 | 23 | 2019 |
| Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution G Gao, W Li, J Li*, F Wu, H Lu, Y Yu AAAI, 2021 | 22 | 2021 |
| Higher-resolution network for image demosaicing and enhancing K Mei, J Li, J Zhang, H Wu, J Li, R Huang ICCV Workshop, 2019 | 18 | 2019 |
| NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte CVPR Workshop, 2022 | 17 | 2022 |
| Edge-guided composition network for image stitching Q Dai, F Fang, J Li, G Zhang, A Zhou Pattern Recognition (PR) 118, 108019, 2021 | 16 | 2021 |
| Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing Q Yi#, J Li#, F Fang, A Jiang, G Zhang IEEE Transactions on Multimedia (TMM) 24, 3114 - 3128, 2021 | 16 | 2021 |
| Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer G Gao, Z Wang, J Li*, W Li, Y Yu, T Zeng IJCAI, 2022 | 14 | 2022 |
| Lightweight Image Super-Resolution with Multi-scale Feature Interaction Network Z Wang, G Gao, J Li, Y Yu, H Lu ICME, 2021 | 13 | 2021 |
| FBSNet: A fast bilateral symmetrical network for real-time semantic segmentation G Gao, G Xu, J Li*, Y Yu, H Lu, J Yang IEEE Transactions on Multimedia (TMM), 2022 | 11 | 2022 |
Faming Fang华东师范大学计算机系在 cs.ecnu.edu.cn 的电子邮件经过验证
