| NTIRE 2023 challenge on efficient super-resolution: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, L Yu, Y Li, X Li, T Jiang, Q Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 144 | 2023 |
| End-to-end multimodal image registration via reinforcement learning J Hu, Z Luo, X Wang, S Sun, Y Yin, K Cao, Q Song, S Lyu, X Wu Medical image analysis 68, 101878, 2021 | 59 | 2021 |
| Learning a deep dual-level network for robust DeepFake detection W Pu, J Hu, X Wang, Y Li, S Hu, B Zhu, R Song, Q Song, X Wu, S Lyu Pattern Recognition 130, 108832, 2022 | 47 | 2022 |
| Robust multimodal image registration using deep recurrent reinforcement learning S Sun, J Hu, M Yao, J Hu, X Yang, Q Song, X Wu Asian conference on computer vision, 511-526, 2018 | 36 | 2018 |
| Non-local means algorithm with adaptive patch size and bandwidth J Hu, YP Luo Optik 124 (22), 5639-5645, 2013 | 26 | 2013 |
| Single-image superresolution based on local regression and nonlocal self-similarity J Hu, Y Luo Journal of Electronic Imaging 23 (3), 033014-033014, 2014 | 25 | 2014 |
| Noise robust single image super-resolution using a multiscale image pyramid J Hu, X Wu, J Zhou Signal processing 148, 157-171, 2018 | 21 | 2018 |
| Stochastic planner-actor-critic for unsupervised deformable image registration Z Luo, J Hu, X Wang, S Hu, B Kong, Y Yin, Q Song, X Wu, S Lyu Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1917-1925, 2022 | 11 | 2022 |
| UMedNeRF: Uncertainty-aware single view volumetric rendering for medical neural radiance fields J Hu, Q Fan, S Hu, S Lyu, X Wu, X Wang 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024 | 8 | 2024 |
| Deep reinforcement learning for image-to-image translation X Wang, Z Luo, J Hu, C Feng, S Hu, B Zhu, X Wu, S Lyu arXiv preprint arXiv:2309.13672, 2023 | 7 | 2023 |
| Single image super resolution of 3D MRI using local regression and intermodality priors J Hu, X Wu, J Zhou Eighth International Conference on Digital Image Processing (ICDIP 2016 …, 2016 | 7 | 2016 |
| Noise-robust video super-resolution using an adaptive spatial-temporal filter J Hu, Y Luo Multimedia Tools and Applications 74, 9259-9278, 2015 | 5 | 2015 |
| Attention guided policy optimization for 3d medical image registration J Hu, Z Shuai, X Wang, S Hu, S Sun, S Lyu, X Wu IEEE Access 11, 65546-65558, 2023 | 4 | 2023 |
| A spatiotemporal agent for robust multimodal registration Z Luo, X Wang, X Wu, Y Yin, K Cao, Q Song, J Hu IEEE Access 8, 75347-75358, 2020 | 4 | 2020 |
| Stochastic Actor-Executor-Critic for Image-to-Image Translation Z Luo, J Hu, X Wang, S Lyu, B Kong, Y Yin, Q Song, X Wu arXiv preprint arXiv:2112.07403, 2021 | 3 | 2021 |
| Second‐Order Regression‐Based MR Image Upsampling J Hu, X Wu, J Zhou Computational and Mathematical Methods in Medicine 2017 (1), 6462832, 2017 | 3 | 2017 |
| Unsupervised learning statistical downscaling based on residual network of attention mechanism B Ge, T Wu, J Hu, J Chen 2022 IEEE 2nd International Conference on Data Science and Computer …, 2022 | 2 | 2022 |
| Noise-Robust MRI Upsampling Using Adaptive Local Steering Kernel J Hu, X Li, X Wang, Y Li, X Wu IEEE Access 8, 158538-158548, 2020 | 2 | 2020 |
| Non-local means with steer search window and adaptive parameter S Xiao, J Hu, Y Wang 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP …, 2018 | 2 | 2018 |
| Efficient Image Super-Resolution via Symmetric Visual Attention Network C Wu, Q Fan, S Hu, X Wu, X Wang, J Hu arXiv preprint arXiv:2401.08913, 2024 | 1 | 2024 |
