Qi Xie
Qi Xie
Verified email at stu.xjtu.edu.cn
Title
Cited by
Cited by
Year
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 (2), 183-208, 2017
2712017
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
2322015
Multispectral images denoising by intrinsic tensor sparsity regularization
Q Xie, Q Zhao, D Meng, Z Xu, S Gu, W Zuo, L Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1022016
Self-paced learning for matrix factorization
Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, AG Hauptmann
Twenty-ninth AAAI conference on artificial intelligence, 2015
1012015
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, 2017
642017
Self-paced co-training
F Ma, D Meng, Q Xie, Z Li, X Dong
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
572017
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
452015
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
422017
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
392018
Meta-weight-net: Learning an explicit mapping for sample weighting
J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng
Advances in Neural Information Processing Systems, 1917-1928, 2019
172019
Multispectral and hyperspectral image fusion by MS/HS fusion net
Q Xie, M Zhou, Q Zhao, D Meng, W Zuo, Z Xu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
162019
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
152017
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
102017
On the optimal solution of weighted nuclear norm minimization
Q Xie, D Meng, S Gu, L Zhang, W Zuo, X Feng, Z Xu
arXiv preprint arXiv:1405.6012, 2014
82014
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
72018
Enhanced 3DTV regularization and its applications on hyper-spectral image denoising and compressed sensing
J Peng, Q Xie, Q Zhao, Y Wang, D Meng, Y Leung
arXiv preprint arXiv:1809.06591, 2018
22018
Unsupervised/semi-supervised deep learning for low-dose CT enhancement
M Geng, Y Deng, Q Zhao, Q Xie, D Zeng, W Zuo, D Meng
arXiv preprint arXiv:1808.02603, 2018
22018
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, 1-20, 2020
12020
Tug the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels
J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng
arXiv preprint arXiv:1902.07379, 2019
12019
Structural Residual Learning for Single Image Rain Removal
H Wang, Y Wu, Q Xie, Q Zhao, Y Liang, D Meng
arXiv preprint arXiv:2005.09228, 2020
2020
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