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 | 3619 | 2012 |
Robust subspace segmentation by low-rank representation G Liu, Z Lin, Y Yu Proceedings of the 27th international conference on machine learning (ICML …, 2010 | 1980 | 2010 |
Latent low-rank representation for subspace segmentation and feature extraction G Liu, S Yan 2011 international conference on computer vision, 1615-1622, 2011 | 759 | 2011 |
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 | 550 | 2015 |
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 | 469 | 2012 |
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 | 258 | 2011 |
Saliency detection by multitask sparsity pursuit C Lang, G Liu, J Yu, S Yan IEEE transactions on image processing 21 (3), 1327-1338, 2011 | 235 | 2011 |
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 | 229 | 2012 |
Inductive robust principal component analysis BK Bao, G Liu, C Xu, S Yan IEEE transactions on image processing 21 (8), 3794-3800, 2012 | 178 | 2012 |
Spatio-temporal convolutional features with nested LSTM for facial expression recognition Z Yu, G Liu, Q Liu, J Deng Neurocomputing 317, 50-57, 2018 | 150 | 2018 |
Active subspace: Toward scalable low-rank learning G Liu, S Yan Neural computation 24 (12), 3371-3394, 2012 | 93 | 2012 |
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 | 87 | 2014 |
Implicit block diagonal low-rank representation X Xie, X Guo, G Liu, J Wang IEEE Transactions on Image Processing 27 (1), 477-489, 2017 | 84 | 2017 |
Exact subspace segmentation and outlier detection by low-rank representation G Liu, H Xu, S Yan Artificial intelligence and statistics, 703-711, 2012 | 81 | 2012 |
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 | 79 | 2019 |
Deeper cascaded peak-piloted network for weak expression recognition Z Yu, Q Liu, G Liu The Visual Computer 34 (12), 1691-1699, 2018 | 78 | 2018 |
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 | 78 | 2016 |
Differentiable linearized ADMM X Xie, J Wu, G Liu, Z Zhong, Z Lin International Conference on Machine Learning, 6902-6911, 2019 | 72 | 2019 |
Learning image compressed sensing with sub-pixel convolutional generative adversarial network Y Sun, J Chen, Q Liu, G Liu Pattern Recognition 98, 107051, 2020 | 64 | 2020 |
Low-rank matrix completion in the presence of high coherence G Liu, P Li IEEE Transactions on Signal Processing 64 (21), 5623-5633, 2016 | 62 | 2016 |