| Deep unfolding network for spatiospectral image super-resolution Q Ma, J Jiang, X Liu, J Ma IEEE Transactions on Computational Imaging 8, 28-40, 2021 | 37 | 2021 |
| Learning a 3D-CNN and transformer prior for hyperspectral image super-resolution Q Ma, J Jiang, X Liu, J Ma Information Fusion 100, 101907, 2023 | 32 | 2023 |
| Multi-task interaction learning for spatiospectral image super-resolution Q Ma, J Jiang, X Liu, J Ma IEEE Transactions on Image Processing 31, 2950-2961, 2022 | 17 | 2022 |
| Reciprocal transformer for hyperspectral and multispectral image fusion Q Ma, J Jiang, X Liu, J Ma Information Fusion 104, 102148, 2024 | 12 | 2024 |
| Ranking list preservation for feature matching J Jiang, Q Ma, X Jiang, J Ma Pattern Recognition 111, 107665, 2021 | 12 | 2021 |
| Robust feature matching via Gaussian field criterion for remote sensing image registration Q Ma, X Du, J Wang, Y Ma, J Ma Journal of Real-Time Image Processing 15, 523-536, 2018 | 8 | 2018 |
| Feature matching based on top k rank similarity J Jiang, Q Ma, T Lu, Z Wang, J Ma 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 7 | 2018 |
| Rethinking 3D-CNN in Hyperspectral Image Super-Resolution Z Liu, W Wang, Q Ma, X Liu, J Jiang Remote Sensing 15 (10), 2574, 2023 | 1 | 2023 |
| Improving Hyperspectral Super-Resolution via Heterogeneous Knowledge Distillation Z Liu, Q Ma, J Jiang, X Liu Proceedings of the 3rd ACM International Conference on Multimedia in Asia, 1-7, 2021 | 1 | 2021 |
Junjun JiangHarbin Institute of Technology在 hit.edu.cn 的电子邮件经过验证
