Meta-weight-net: Learning an explicit mapping for sample weighting J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng NIPS 2019, 2019 | 835 | 2019 |
Weighted nuclear norm minimization and its applications to low level vision S Gu, Q Xie, D Meng, W Zuo, X Feng, L Zhang International journal of computer vision 121, 183-208, 2017 | 793 | 2017 |
Kronecker-basis-representation based tensor sparsity and its applications to tensor recovery Q Xie, Q Zhao, D Meng, Z Xu IEEE transactions on pattern analysis and machine intelligence 40 (8), 1888-1902, 2018 | 468* | 2018 |
Convolutional sparse coding for image super-resolution S Gu, W Zuo, Q Xie, D Meng, X Feng, L Zhang Proceedings of the IEEE International Conference on Computer Vision, 1823-1831, 2015 | 416 | 2015 |
MHF-Net: An interpretable deep network for multispectral and hyperspectral image fusion Q Xie, M Zhou, Q Zhao, Z Xu, D Meng IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1457-1473, 2022 | 381* | 2022 |
RCDNet: An interpretable rain convolutional dictionary network for single image deraining H Wang, Q Xie*, Q Zhao, Y Li, Y Liang, Y Zheng, D Meng* IEEE Transactions on Neural Networks and Learning Systems, 2023 | 374* | 2023 |
Video rain streak removal by multiscale convolutional sparse coding M Li, Q Xie, Q Zhao, W Wei, S Gu, J Tao, D Meng Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 208 | 2018 |
Self-paced learning for matrix factorization Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, A Hauptmann Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 182 | 2015 |
Self-paced co-training F Ma, D Meng, Q Xie, Z Li, X Dong International Conference on Machine Learning, 2275-2284, 2017 | 160 | 2017 |
Should we encode rain streaks in video as deterministic or stochastic? W Wei, L Yi, Q Xie, Q Zhao, D Meng, Z Xu Proceedings of the IEEE International Conference on Computer Vision, 2516-2525, 2017 | 154 | 2017 |
Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing J Peng, Q Xie, Q Zhao, Y Wang, L Yee, D Meng IEEE Transactions on Image Processing 29, 7889-7903, 2020 | 116* | 2020 |
From rain generation to rain removal H Wang, Z Yue, Q Xie, Q Zhao, Y Zheng, D Meng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 87 | 2021 |
Robust low-dose CT sinogram preprocessing via exploiting noise-generating mechanism Q Xie, D Zeng, Q Zhao, D Meng, Z Xu, Z Liang, J Ma IEEE transactions on medical imaging 36 (12), 2487-2498, 2017 | 62 | 2017 |
Learning to purify noisy labels via meta soft label corrector Y Wu, J Shu, Q Xie, Q Zhao, D Meng Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10388 …, 2021 | 53 | 2021 |
A novel sparsity measure for tensor recovery Q Zhao, D Meng, X Kong, Q Xie, W Cao, Y Wang, Z Xu Proceedings of the IEEE International Conference on Computer Vision, 271-279, 2015 | 50 | 2015 |
Memory-augmented deep unfolding network for guided image super-resolution M Zhou, K Yan, J Pan, W Ren, Q Xie, X Cao International Journal of Computer Vision 131 (1), 215-242, 2023 | 46 | 2023 |
An efficient iterative cerebral perfusion CT reconstruction via low-rank tensor decomposition with spatial–temporal total variation regularization S Li, D Zeng, J Peng, Z Bian, H Zhang, Q Xie, Y Wang, Y Liao, S Zhang, ... IEEE transactions on medical imaging 38 (2), 360-370, 2018 | 41 | 2018 |
Low-dose dynamic cerebral perfusion computed tomography reconstruction via Kronecker-basis-representation tensor sparsity regularization D Zeng, Q Xie, W Cao, J Lin, H Zhang, S Zhang, J Huang, Z Bian, D Meng, ... IEEE transactions on medical imaging 36 (12), 2546-2556, 2017 | 35 | 2017 |
Single image rain streaks removal: a review and an exploration H Wang, Q Xie, Y Wu, Q Zhao, D Meng International Journal of Machine Learning and Cybernetics 11, 853-872, 2020 | 31 | 2020 |
Structural residual learning for single image rain removal H Wang, Y Wu, Q Xie*, Q Zhao, Y Liang, S Zhang, D Meng Knowledge-Based Systems 213, 106595, 2021 | 29 | 2021 |