| Multi-scale residual network for image super-resolution J Li, F Fang, K Mei, G Zhang ECCV, 2018 | 898 | 2018 |
| Transformer for single image super-resolution Z Lu#, J Li#, H Liu, C Huang, L Zhang, T Zeng CVPR Workshop, 2022 | 442* | 2022 |
| 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 | 178 | 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 | 152 | 2020 |
| Progressive feature fusion network for realistic image dehazing K Mei, A Jiang, J Li, M Wang ACCV, 2018 | 139 | 2018 |
| 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 | 113 | 2020 |
| Structure-Preserving Deraining with Residue Channel Prior Guidance Q Yi, J Li, Q Dai, F Fang, G Zhang, T Zeng ICCV, 2021 | 103 | 2021 |
| 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 | 95 | 2020 |
| 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 | 90 | 2022 |
| Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution G Gao, W Li, J Li*, F Wu, H Lu, Y Yu AAAI, 2021 | 89 | 2021 |
| NTIRE 2023 challenge on stereo image super-resolution: Methods and results L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte CVPR Workshop, 2023 | 76 | 2023 |
| 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 | 76 | 2022 |
| CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution G Gao, Z Xu, J Li*, J Yang, T Zeng, GJ Qi IEEE Transactions on Image Processing (TIP), 2023 | 75 | 2023 |
| A systematic survey of deep learning-based single-image super-resolution J Li, Z Pei, W Li, G Gao, L Wang, Y Wang, T Zeng ACM Computing Surveys 56 (10), 1-40, 2024 | 70* | 2024 |
| 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 | 68 | 2020 |
| Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation Q Dai, J Li, Q Yi, F Fang, G Zhang ACMMM, 2021 | 55 | 2021 |
| Edge-guided composition network for image stitching Q Dai, F Fang, J Li, G Zhang, A Zhou Pattern Recognition (PR) 118, 108019, 2021 | 49 | 2021 |
| 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 | 40 | 2019 |
| Lightweight Real-Time Semantic Segmentation Network With Efficient Transformer and CNN G Xu, J Li, G Gao, H Lu, J Yang, D Yue IEEE Transactions on Intelligent Transportation Systems (TITS), 2023 | 38 | 2023 |
| Snow Mask Guided Adaptive Residual Network for Image Snow Removal B Cheng, J Li*, Y Chen, S Zhang, T Zeng Computer Vision and Image Understanding (CVIU), 2023 | 37 | 2023 |
Tieyong ZengProfessor, Director of CMAI, Department of Mathematics, The Chinese University of Hong Kong在 math.cuhk.edu.hk 的电子邮件经过验证
