Liu, Guangcan                                             

  Professor

Nanjing University of Information Science & Technology 

Email: gcliu@nuist.edu.cn 

Publications  

2014:

  • Recovery of Coherent Data via Low-Rank Dictionary Pursuit. Guangcan Liu, Ping Li. Advances in Nueral Information Processing Systems (NIPS). pp.1206--1214, 2014. 
  • Blind Image Deblurring Using Spectral Properties of Convolution Operators. Guangcan Liu, Shiyu Chang, Yi Ma.  IEEE Transactions on Image Processing (TIP). vol. 23, no.12, pp.5047--5056, 2014.
  • Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification. Jie Shen, Guangcan Liu, Jia Chen, Yuqiang Fang, Jianbin Xie, Yong Yu, Shuicheng Yan. IEEE Transactions on Image Processing (TIP). vol. 23, no.11, pp.4786--4798, 2014.
  • A Latent Clothing Attribute Approach for Human Pose Estimation. Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu. Asian Conference on Computer Vision (ACCV), 2014. 
  • Non-blind deblurring of structured images with geometric deformation. Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma. The Visual Computer, 2014. 
  • Fast Low-Rank Subspace Segmentation. Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma.  IEEE Trans. Knowl. Data Eng (TKDE). vol. 26, no.5, pp.1293--1297, 2014.

2013:

  •  Improving Bottom-up Saliency Detection by Looking into Neighbors. Congyan Lang, Jiashi Feng, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Jiebo Luo. IEEE Trans. Circuits Syst. Video Techn (TCSVT). vol.23, no.6, pp. 1016--1028, 2013.
  • General Subspace Learning With Corrupted Training Data Via Graph Embedding. Bing-Kun Bao, Guangcan Liu, Richang Hong, Shuicheng Yan, Changsheng Xu:  IEEE Transactions on Image Processing(TIP) , vol.22, no.11, pp.4380--4393, 2013. 
  • Robust Recovery of Subspace Structures by Low-Rank Representation, Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, and Yi Ma, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 35, no. 1, pp. 171 -- 184, 2013. 

2012: 

  • Active Subspace: Towards Scalable Low-Rank Learning, Guangcan Liu and Shuicheng Yan, Neural Computation, 2012. 
  • Inductive Robust Principal Component Analysis, Bingkun Bao, Guangcan Liu, Changsheng Xu, and Shuicheng Yan, IEEE Trans. on Image Processing (TIP), 2012. 
  • Practical Low-Rank Matrix Approximation Under Robust L1-Norm, Yinqiang Zheng, Guangcan Liu, Shigeki Sugimoto, Shuicheng Yan, Masatoshi Okutomi, IEEE Conference on Pattern Recognition and Computer Vision (CVPR) ,2012. 
  • Street-to-Shop: Cross-Scenario Clothing Retrieval via Parts Alignment and Auxiliary Set, Si Liu, Zheng Song, Guangcan Liu, Changsheng Xu, Hanqing Lu, and Shuicheng Yan, IEEE Conference on Pattern Recognition and Computer Vision (CVPR) ,2012. 
  • Multi-Task low-rank and sparse matrix recovery for human motion segmentation. Xiangyang Wang, Wanggen Wan, Guangcan Liu. International Conference on Image Processing (ICIP). pp.897--900,2012. 
  • Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation, Guangcan Liu, Huan Xu, and Shuicheng Yan, International Conference on Artificial Intelligence and Statistics (AISTATS), 2012. 
2011:
  • Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction, Guangcan Liu and Shuicheng Yan, International Conference on Computer Vision (ICCV), 2011.
  • Multi-task Low-Rank Affinities Pursuit for Image Segmentation, Bin Cheng, Guangcan Liu, Jingdong Wang, Zhongyang Huang and Shuicheng Yan, International Conference on Computer Vision (ICCV), 2011.
  • Saliency Detection by Multi-Task Sparsity Pursuit, Congyan Lang, Guangcan Liu, Jian Yu and Shuicheng Yan,IEEE Trans. Img. Proc. (TIP), 2011.
2007 -- 2010:
  • Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems, Guangcan Liu, Ju Sun and Shuicheng Yan, NIPS Workshop on Low-Rank Methods fr Large-Scale Machine Learning, 2010.
  • Robust Subspace Segmentation by Low-Rank Representation, Guangcan Liu, Zhouchen Lin and Yong Yu, International Conference on Machine Learning (ICML), 2010 
  • Unsupervised Object Segmentation with A Hybrid Graph Model (HGM), Guangcan Liu, Zhouchen Lin, Yong Yu and Xiaoou Tang, IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI), Pages: 910-924, Volume 32 , Issue 5, 2010
  • Radon Representation-Based Feature Descriptor for Texture Classification, Guangcan Liu, Zhouchen Lin and Yong Yu, IEEE Trans. Img. Proc. (TIP), Pages: 921-928, Volume 18, Issue 5, 2009
  • Multi-Output Regression on the Output Manifold, Guangcan Liu, Zhouchen Lin and Yong Yu, Pattern Recognition, Pages: 2737-2743, Volume 42, Issue 11, 2009.
  • A Hybrid Graph Model for Unsupervised Object Segmentation, Guangcan Liu, Zhouchen Lin, Yong Yu and Xiaoou Tang, International Conference on Computer Vision (ICCV), 2007.  
Undergraduate Thesis: 
  • A Learning-Based Term-Weighting Approach for Information Retrieval,  Guangcan Liu, Xing Zhu and Yong Yu, AAAI, 2005.

Matlab codes