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Qi Xie
Qi Xie
在 mail.xjtu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
8352019
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
7932017
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
4162015
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
2082018
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
1822015
Self-paced co-training
F Ma, D Meng, Q Xie, Z Li, X Dong
International Conference on Machine Learning, 2275-2284, 2017
1602017
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
1542017
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
872021
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
622017
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
532021
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
502015
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
462023
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
412018
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
352017
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
312020
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
292021
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