| Ranksrgan: Generative adversarial networks with ranker for image super-resolution W Zhang, Y Liu, C Dong, Y Qiao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 379 | 2019 |
| Overcoming catastrophic forgetting in incremental few-shot learning by finding flat minima G Shi, J Chen, W Zhang, LM Zhan, XM Wu Advances in Neural Information Processing Systems 34, 6747-6761, 2021 | 119 | 2021 |
| NTIRE 2023 challenge on stereo image super-resolution: Methods and results L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte, M Cheng, H Ma, Q Ma, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 71 | 2023 |
| RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank W Zhang, Y Liu, C Dong, Y Qiao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 24 | 2021 |
| A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds W Zhang, G Shi, Y Liu, C Dong, XM Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 20 | 2022 |
| DVMSR: Distillated Vision Mamba for Efficient Super-Resolution X Lei, W Zhang*, W Cao arXiv preprint arXiv:2405.03008, 2024 | 19* | 2024 |
| Recon: Reducing conflicting gradients from the root for multi-task learning G Shi, Q Li, W Zhang, J Chen, XM Wu The Eleventh International Conference on Learning Representations. 2022., 2023 | 19 | 2023 |
| Spatial resolution enhancement of satellite microwave radiometer data with deep residual convolutional neural network W Hu, Y Li, W Zhang, S Chen, X Lv, L Ligthart Remote Sensing 11 (7), 771, 2019 | 19 | 2019 |
| A deconvolution technology of microwave radiometer data using convolutional neural networks W Hu, W Zhang*, S Chen, X Lv, D An, L Ligthart Remote Sensing 10 (2), 275, 2018 | 15 | 2018 |
| Spatial resolution matching of microwave radiometer data with convolutional neural network Y Li, W Hu, S Chen, W Zhang, R Guo, J He, L Ligthart Remote Sensing 11 (20), 2432, 2019 | 14 | 2019 |
| HAT: Hybrid Attention Transformer for Image Restoration X Chen, X Wang, W Zhang, X Kong, Y Qiao, J Zhou, C Dong arXiv preprint arXiv:2309.05239, 2023 | 12 | 2023 |
| Radar Cross Section Near-Field to Far-Field Prediction for Isotropic-Point Scattering Target Based on Regression Estimation Y Liu, W Hu, W Zhang, J Sun, B Xing, L Ligthart Sensors 20 (21), 6023, 2020 | 10 | 2020 |
| Real-World Image Super-Resolution as Multi-Task Learning W Zhang, X Li, G Shi, X Chen, Y Qiao, X Zhang, XM Wu, C Dong Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution W Zhang, X Li, X Chen, Y Qiao, XM Wu, C Dong The Twelfth International Conference on Learning Representations, 2023 | 5 | 2023 |
| Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling W Xu, F Ling, W Zhang, T Han, H Chen, W Ouyang, L Bai arXiv preprint arXiv:2405.13796, 2024 | | 2024 |
| Spatial Resolution Matching of Microwave Radiometer Measurements Using Iterative Deconvolution with Close Loop Priors (ICLP) Z Yao, W Hu, Z Feng, W Zhang, Y Liu, Z Xu, LP Ligthart IEEE Transactions on Geoscience and Remote Sensing, 2023 | | 2023 |
Chao DongShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences在 siat.ac.cn 的电子邮件经过验证
