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Guangcan Liu
Guangcan Liu
Professor of Southeast University, Nanjing, China.
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Robust recovery of subspace structures by low-rank representation
G Liu, Z Lin, S Yan, J Sun, Y Yu, Y Ma
IEEE transactions on pattern analysis and machine intelligence 35 (1), 171-184, 2012
35602012
Robust subspace segmentation by low-rank representation
G Liu, Z Lin, Y Yu
Proceedings of the 27th international conference on machine learning (ICML …, 2010
19532010
Latent low-rank representation for subspace segmentation and feature extraction
G Liu, S Yan
2011 international conference on computer vision, 1615-1622, 2011
7502011
Low-rank tensor constrained multiview subspace clustering
C Zhang, H Fu, S Liu, G Liu, X Cao
Proceedings of the IEEE international conference on computer vision, 1582-1590, 2015
5332015
Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set
S Liu, Z Song, M Wang, C Xu, H Lu, S Yan
Proceedings of the 20th ACM international conference on Multimedia, 1335-1336, 2012
4682012
Multi-task low-rank affinity pursuit for image segmentation
B Cheng, G Liu, J Wang, Z Huang, S Yan
2011 International conference on computer vision, 2439-2446, 2011
2582011
Practical low-rank matrix approximation under robust L1-norm
Y Zheng, G Liu, S Sugimoto, S Yan, M Okutomi
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1410-1417, 2012
2302012
Saliency detection by multitask sparsity pursuit
C Lang, G Liu, J Yu, S Yan
IEEE transactions on image processing 21 (3), 1327-1338, 2011
2292011
Inductive robust principal component analysis
BK Bao, G Liu, C Xu, S Yan
IEEE transactions on image processing 21 (8), 3794-3800, 2012
1792012
Spatio-temporal convolutional features with nested LSTM for facial expression recognition
Z Yu, G Liu, Q Liu, J Deng
Neurocomputing 317, 50-57, 2018
1472018
Active subspace: Toward scalable low-rank learning
G Liu, S Yan
Neural computation 24 (12), 3371-3394, 2012
942012
Blind image deblurring using spectral properties of convolution operators
G Liu, S Chang, Y Ma
IEEE Transactions on image processing 23 (12), 5047-5056, 2014
882014
Implicit block diagonal low-rank representation
X Xie, X Guo, G Liu, J Wang
IEEE Transactions on Image Processing 27 (1), 477-489, 2017
812017
Exact subspace segmentation and outlier detection by low-rank representation
G Liu, H Xu, S Yan
Artificial intelligence and statistics, 703-711, 2012
812012
Joint label prediction based semi-supervised adaptive concept factorization for robust data representation
Z Zhang, Y Zhang, G Liu, J Tang, S Yan, M Wang
IEEE Transactions on Knowledge and Data Engineering 32 (5), 952-970, 2019
782019
Blessing of dimensionality: Recovering mixture data via dictionary pursuit
G Liu, Q Liu, P Li
IEEE transactions on pattern analysis and machine intelligence 39 (1), 47-60, 2016
782016
Deeper cascaded peak-piloted network for weak expression recognition
Z Yu, Q Liu, G Liu
The Visual Computer 34 (12), 1691-1699, 2018
772018
Differentiable linearized ADMM
X Xie, J Wu, G Liu, Z Zhong, Z Lin
International Conference on Machine Learning, 6902-6911, 2019
722019
Low-rank matrix completion in the presence of high coherence
G Liu, P Li
IEEE Transactions on Signal Processing 64 (21), 5623-5633, 2016
622016
Scalable block-diagonal locality-constrained projective dictionary learning
Z Zhang, W Jiang, Z Zhang, S Li, G Liu, J Qin
arXiv preprint arXiv:1905.10568, 2019
612019
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