| Feedback network for image super-resolution Z Li, J Yang, Z Liu, X Yang, G Jeon, W Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1025 | 2019 |
| Delving deep into label smoothing CB Zhang, PT Jiang, Q Hou, Y Wei, Q Han, Z Li, MM Cheng IEEE Transactions on Image Processing 30, 5984-5996, 2021 | 262 | 2021 |
| Towards An End-to-End Framework for Flow-Guided Video Inpainting Z Li, CZ Lu, J Qin, CL Guo, MM Cheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 157 | 2022 |
| Srformer: Permuted self-attention for single image super-resolution Y Zhou, Z Li, CL Guo, S Bai, MM Cheng, Q Hou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 155 | 2023 |
| Photomaker: Customizing realistic human photos via stacked id embedding Z Li, M Cao, X Wang, Z Qi, MM Cheng, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 131 | 2024 |
| Coupled GAN with relativistic discriminators for infrared and visible images fusion Q Li, L Lu, Z Li, W Wu, Z Liu, G Jeon, X Yang IEEE Sensors Journal 21 (6), 7458-7467, 2019 | 108 | 2019 |
| Temporal modulation network for controllable space-time video super-resolution G Xu, J Xu, Z Li, L Wang, X Sun, MM Cheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 105 | 2021 |
| AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation Z Li, ZL Zhu, LH Han, Q Hou, CL Guo, MM Cheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 84 | 2023 |
| Combining unmanned aerial vehicles with artificial-intelligence technology for traffic-congestion recognition: electronic eyes in the skies to spot clogged roads L Jian, Z Li, X Yang, W Wu, A Ahmad, G Jeon IEEE Consumer Electronics Magazine 8 (3), 81-86, 2019 | 72 | 2019 |
| Emu3: Next-token prediction is all you need X Wang, X Zhang, Z Luo, Q Sun, Y Cui, J Wang, F Zhang, Y Wang, Z Li, ... arXiv preprint arXiv:2409.18869, 2024 | 65 | 2024 |
| Gated multiple feedback network for image super-resolution Q Li, Z Li, L Lu, G Jeon, K Liu, X Yang BMVC, 2019 | 46 | 2019 |
| NTIRE 2021 depth guided image relighting challenge M El Helou, R Zhou, S Susstrunk, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 38 | 2021 |
| Model compression for IoT applications in industry 4.0 via multiscale knowledge transfer S Fu, Z Li, K Liu, S Din, M Imran, X Yang IEEE Transactions on Industrial Informatics 16 (9), 6013-6022, 2019 | 38 | 2019 |
| Wavelet-based texture reformation network for image super-resolution Z Li, ZS Kuang, ZL Zhu, HP Wang, XL Shao IEEE Transactions on Image Processing 31, 2647-2660, 2022 | 35 | 2022 |
| Dnf: Decouple and feedback network for seeing in the dark X Jin, LH Han, Z Li, CL Guo, Z Chai, C Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 32 | 2023 |
| Deep recursive up-down sampling networks for single image super-resolution Z Li, Q Li, W Wu, J Yang, Z Li, X Yang Neurocomputing 398, 377-388, 2020 | 28 | 2020 |
| Designing an illumination-aware network for deep image relighting ZL Zhu, Z Li, RX Zhang, CL Guo, MM Cheng IEEE Transactions on Image Processing 31, 5396-5411, 2022 | 13 | 2022 |
| Interactive knowledge distillation S Fu, Z Li, J Xu, MM Cheng, Z Liu, X Yang arXiv preprint arXiv:2007.01476, 2020 | 8 | 2020 |
Ming-Ming ChengProfessor of Computer Science, Nankai UniversityEmail verificata su nankai.edu.cn