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ORCIDGuangcan Liu
Guangchan Liu
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- affiliation: Nanjing University of Information Science & Technology, School of Information and Control
- affiliation: National University of Singapore, Electrical and Computer Engineering
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2020 – today
- 2024
[j61]JieJie Xu
, Yisheng Zhu, Wenqing Wang, Guangcan Liu:
A real-time semi-dense depth-guided depth completion network. Vis. Comput. 40(1): 87-97 (2024)- [j60]Shengkun Sun, Zihao Jia, Yisheng Zhu, Guangcan Liu, Zhengtao Yu:
Decoupled spatio-temporal grouping transformer for skeleton-based action recognition. Vis. Comput. 40(8): 5733-5745 (2024) - [j59]Zihao Jia, Shengkun Sun, Guangcan Liu, Bo Liu:
MSSD: multi-scale self-distillation for object detection. Vis. Intell. 2(1) (2024) - [i29]Fan Lyu, Kaile Du, Yuyang Li, Hanyu Zhao, Zhang Zhang, Guangcan Liu, Liang Wang:
Variational Continual Test-Time Adaptation. CoRR abs/2402.08182 (2024) - [i28]Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu:
Confidence Self-Calibration for Multi-Label Class-Incremental Learning. CoRR abs/2403.12559 (2024) - [i27]Yuepan Li, Fan Lyu, Yuyang Li, Wei Feng, Guangcan Liu, Fanhua Shang:
Towards stable training of parallel continual learning. CoRR abs/2407.08214 (2024) - 2023
- [j58]Zihao Jia, Shengkun Sun, Guangcan Liu:
Real-Time Traffic Sign Detection Based on Weighted Attention and Model Refinement. Neural Process. Lett. 55(6): 7511-7527 (2023) - [j57]Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin:
Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3604-3616 (2023) - [j56]Zhili Zhou, Chun Ding, Jin Li, Eman Mohammadi, Guangcan Liu, Yimin Yang, Q. M. Jonathan Wu:
Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos. IEEE Trans. Image Process. 32: 13-28 (2023) - [j55]Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu:
Multilevel Spatial-Temporal Excited Graph Network for Skeleton-Based Action Recognition. IEEE Trans. Image Process. 32: 496-508 (2023) - [j54]Guangcan Liu, Wayne Zhang:
Recovery of Future Data via Convolution Nuclear Norm Minimization. IEEE Trans. Inf. Theory 69(1): 650-665 (2023) - [j53]Zhenyu Guan, Ziqi Wang, Yisheng Zhu, Guangcan Liu:
Presswork defect inspection using only defect-free high-resolution images. Vis. Comput. 39(4): 1271-1282 (2023) - [j52]Zebin Guo, Hui Shuai, Guangcan Liu, Yisheng Zhu, Wenqing Wang:
Multi-level feature fusion pyramid network for object detection. Vis. Comput. 39(9): 4267-4277 (2023) - [c33]Yisheng Zhu, Hu Han, Zhengtao Yu, Guangcan Liu:
Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition. ICCV 2023: 13867-13876 - 2022
- [j51]Shuangxun Ma, Yuehu Liu, Guangcan Liu, Qinghai Zheng, Chi Zhang:
Orthogonal multi-view tensor-based learning for clustering. Neurocomputing 500: 592-603 (2022) - [j50]Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu:
Self-Supervised Video Representation Learning Using Improved Instance-Wise Contrastive Learning and Deep Clustering. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6741-6752 (2022) - [j49]Rui Zhang, Qingshan Liu, Renlong Hang, Guangcan Liu:
Predicting Tropical Cyclogenesis Using a Deep Learning Method From Gridded Satellite and ERA5 Reanalysis Data in the Western North Pacific Basin. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j48]Guangcan Liu:
Time Series Forecasting via Learning Convolutionally Low-Rank Models. IEEE Trans. Inf. Theory 68(5): 3362-3380 (2022) - [i26]Wenyan Pan, Zhili Zhou, Guangcan Liu, Teng Huang, Hongyang Yan, Q. M. Jonathan Wu:
Auto-Focus Contrastive Learning for Image Manipulation Detection. CoRR abs/2211.10922 (2022) - 2021
- [j47]Qi Zhao, Guangcan Liu, Qingshan Liu:
Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor. Neurocomputing 463: 554-565 (2021) - [j46]Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang:
Matrix Completion with Deterministic Sampling: Theories and Methods. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 549-566 (2021) - [j45]Qi Zhao, Chuqiao Chen, Guangcan Liu, Qingshan Liu, Shengyong Chen:
Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations. ACM Trans. Intell. Syst. Technol. 12(4): 51:1-51:16 (2021) - [j44]Yisheng Zhu, Hu Han, Guangcan Liu, Qingshan Liu:
Collaborative Local-Global Learning for Temporal Action Proposal. ACM Trans. Intell. Syst. Technol. 12(5): 55:1-55:14 (2021) - [j43]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang:
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. IEEE Trans. Knowl. Data Eng. 33(4): 1523-1539 (2021) - [j42]Zhao Zhang, Yulin Sun, Yang Wang, Zheng Zhang, Haijun Zhang, Guangcan Liu, Meng Wang:
Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification. IEEE Trans. Neural Networks Learn. Syst. 32(3): 947-961 (2021) - [j41]Zhao Zhang, Jiahuan Ren, Haijun Zhang, Zheng Zhang, Guangcan Liu, Shuicheng Yan:
DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 5:1-5:24 (2021) - [j40]Yang Li, Guangcan Liu, Yubao Sun, Qingshan Liu, Shengyong Chen:
3D Tensor Auto-encoder with Application to Video Compression. ACM Trans. Multim. Comput. Commun. Appl. 17(2): 48:1-48:18 (2021) - [i25]Guangcan Liu:
Time Series Forecasting via Learning Convolutionally Low-Rank Models. CoRR abs/2104.11510 (2021) - [i24]Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin:
Optimization Induced Equilibrium Networks. CoRR abs/2105.13228 (2021) - 2020
- [j39]Yubao Sun, Jiwei Chen, Qingshan Liu, Guangcan Liu:
Learning image compressed sensing with sub-pixel convolutional generative adversarial network. Pattern Recognit. 98 (2020) - [j38]Xin Wang, Guangcan Liu, Wayne Zhang, Qingshan Liu:
Selecting Optimal Completion to Partial Matrix via Self-Validation. IEEE Signal Process. Lett. 27: 1265-1269 (2020) - [j37]Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. IEEE Trans. Image Process. 29: 3941-3956 (2020) - [j36]Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang:
Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. IEEE Trans. Knowl. Data Eng. 32(5): 952-970 (2020) - [j35]Yisheng Zhu, Guangcan Liu:
Fine-grained action recognition using multi-view attentions. Vis. Comput. 36(9): 1771-1781 (2020) - [c32]Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. ECAI 2020: 1285-1292 - [c31]Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin:
Maximum-and-Concatenation Networks. ICML 2020: 10483-10494 - [c30]Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu:
Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery. IJCAI 2020: 2762-2768 - [i23]Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin:
Maximum-and-Concatenation Networks. CoRR abs/2007.04630 (2020)
2010 – 2019
- 2019
- [j34]Yang Li, Guangcan Liu, Qingshan Liu, Yubao Sun, Shengyong Chen:
Moving object detection via segmentation and saliency constrained RPCA. Neurocomputing 323: 352-362 (2019) - [j33]Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang:
Matrix recovery with implicitly low-rank data. Neurocomputing 334: 219-226 (2019) - [j32]Lei Wang, Bangjun Wang, Zhao Zhang, Qiaolin Ye, Liyong Fu, Guangcan Liu, Meng Wang:
Robust auto-weighted projective low-rank and sparse recovery for visual representation. Neural Networks 117: 201-215 (2019) - [j31]Xianglin Guo, Xingyu Xie, Guangcan Liu, Mingqiang Wei, Jun Wang:
Robust Low-rank subspace segmentation with finite mixture noise. Pattern Recognit. 93: 55-67 (2019) - [j30]Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan:
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. IEEE Trans. Big Data 5(2): 148-165 (2019) - [j29]Guangcan Liu, Zhao Zhang, Qingshan Liu, Hongkai Xiong:
Robust Subspace Clustering With Compressed Data. IEEE Trans. Image Process. 28(10): 5161-5170 (2019) - [j28]Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan:
Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. IEEE Trans. Knowl. Data Eng. 31(12): 2423-2440 (2019) - [j27]Xueliang Liu, Rongjie Zhang, Zhijun Meng, Richang Hong, Guangcan Liu:
On fusing the latent deep CNN feature for image classification. World Wide Web 22(2): 423-436 (2019) - [j26]Xueliang Liu, Rongjie Zhang, Zhijun Meng, Richang Hong, Guangcan Liu:
Correction to: On fusing the latent deep CNN feature for image classification. World Wide Web 22(4): 1887 (2019) - [c29]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering. ICASSP 2019: 2092-2096 - [c28]Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang:
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. ICDM 2019: 836-845 - [c27]Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin:
Differentiable Linearized ADMM. ICML 2019: 6902-6911 - [c26]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. IJCAI 2019: 4376-4382 - [i22]Xingyu Xie, Jianlong Wu, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin:
Differentiable Linearized ADMM. CoRR abs/1905.06179 (2019) - [i21]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering. CoRR abs/1905.10564 (2019) - [i20]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. CoRR abs/1905.10568 (2019) - [i19]Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang:
Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. CoRR abs/1905.10572 (2019) - [i18]Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan:
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. CoRR abs/1905.12236 (2019) - [i17]Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang:
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. CoRR abs/1908.07878 (2019) - [i16]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang:
Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. CoRR abs/1909.00523 (2019) - [i15]Guangcan Liu, Wayne Zhang:
Recovery of Future Data via Convolution Nuclear Norm Minimization. CoRR abs/1909.03889 (2019) - [i14]Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. CoRR abs/1912.06450 (2019) - [i13]Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. CoRR abs/1912.11785 (2019) - 2018
- [j25]Min Wu, Yubao Sun, Renlong Hang, Qingshan Liu, Guangcan Liu:
Multi-component group sparse RPCA model for motion object detection under complex dynamic background. Neurocomputing 314: 120-131 (2018) - [j24]Zhenbo Yu, Guangcan Liu, Qingshan Liu, Jiankang Deng:
Spatio-temporal convolutional features with nested LSTM for facial expression recognition. Neurocomputing 317: 50-57 (2018) - [j23]Maojin Sun, Shijie Hao, Guangcan Liu:
Semi-supervised vehicle classification via fusing affinity matrices. Signal Process. 149: 118-123 (2018) - [j22]Xingyu Xie, Xianglin Guo, Guangcan Liu, Jun Wang:
Implicit Block Diagonal Low-Rank Representation. IEEE Trans. Image Process. 27(1): 477-489 (2018) - [j21]Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, Wei Liu:
Reversed Spectral Hashing. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2441-2449 (2018) - [j20]Zhenbo Yu, Qinshan Liu, Guangcan Liu:
Deeper cascaded peak-piloted network for weak expression recognition. Vis. Comput. 34(12): 1691-1699 (2018) - [c25]Jiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu:
Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. AAAI 2018: 2564-2571 - [c24]Yulin Sun, Zhao Zhang, Weiming Jiang, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations. ICPR 2018: 621-626 - [c23]Lei Wang, Zhao Zhang, Guangcan Liu, Qiaolin Ye, Jie Qin, Meng Wang:
Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation. ICPR 2018: 800-805 - [c22]Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan:
Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding. ICPR 2018: 1664-1669 - [c21]Jiahuan Ren, Zhao Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning. ICPR 2018: 1851-1856 - [c20]Jing Shi, Jiaming Xu, Guangcan Liu, Bo Xu:
Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation. IJCAI 2018: 4353-4360 - [c19]Xiuyi Chen, Guangcan Liu, Jing Shi, Jiaming Xu, Bo Xu:
Distilled Binary Neural Network for Monaural Speech Separation. IJCNN 2018: 1-8 - [c18]Guangcan Liu, Jing Shi, Xiuyi Chen, Jiaming Xu, Bo Xu:
Improving Speech Separation with Adversarial Network and Reinforcement Learning. IJCNN 2018: 1-7 - [c17]Zhiming Chen, Xintong Han, Weiyao Lin, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong:
Pedestrian Detection with a Directly-Cascaded Deconvolution-Convolution Structure. PCM (1) 2018: 370-380 - [c16]Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin:
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. PRICAI (1) 2018: 71-84 - [c15]Yutong Cai, Weiyao Lin, John See, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong:
Multi-scale Spatiotemporal Information Fusion Network for Video Action Recognition. VCIP 2018: 1-4 - [i12]Guangcan Liu, Qingshan Liu, Yubao Sun, Zhao Zhang, Meng Wang:
Fast and Robust Subspace Clustering Using Random Projections. CoRR abs/1803.11305 (2018) - [i11]Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang:
Matrix Completion with Nonuniform Sampling: Theories and Methods. CoRR abs/1805.02313 (2018) - [i10]Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang:
Matrix Recovery with Implicitly Low-Rank Data. CoRR abs/1811.03945 (2018) - 2017
- [j19]Guangcan Liu, Qingshan Liu, Ping Li:
Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 47-60 (2017) - [j18]Yubao Sun, Sujuan Wang, Qingshan Liu, Renlong Hang, Guangcan Liu:
Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction in Hyperspectral Images. Remote. Sens. 9(5): 506 (2017) - [j17]Qingshan Liu, Jiankang Deng, Jing Yang, Guangcan Liu, Dacheng Tao:
Adaptive Cascade Regression Model For Robust Face Alignment. IEEE Trans. Image Process. 26(2): 797-807 (2017) - [c14]Guangcan Liu, Qingshan Liu, Xiaotong Yuan:
A New Theory for Matrix Completion. NIPS 2017: 785-794 - [i9]Yang Li, Guangcan Liu, Shengyong Chen:
Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA. CoRR abs/1709.00657 (2017) - 2016
- [j16]Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan:
A Deterministic Analysis for LRR. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 417-430 (2016) - [j15]Teng Li, Bin Cheng, Bingbing Ni, Guangchan Liu, Shuicheng Yan:
Multitask Low-Rank Affinity Graph for Image Segmentation and Image Annotation. ACM Trans. Intell. Syst. Technol. 7(4): 65:1-65:18 (2016) - [j14]Guangcan Liu, Ping Li:
Low-Rank Matrix Completion in the Presence of High Coherence. IEEE Trans. Signal Process. 64(21): 5623-5633 (2016) - [c13]Lai Li, Guangcan Liu, Qingshan Liu:
Advancing Iterative Quantization Hashing Using Isotropic Prior. MMM (2) 2016: 174-184 - [c12]Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu:
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation. NIPS 2016: 4367-4375 - 2015
- [j13]Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma:
Non-blind deblurring of structured images with geometric deformation. Vis. Comput. 31(2): 131-140 (2015) - [c11]Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao:
Low-Rank Tensor Constrained Multiview Subspace Clustering. ICCV 2015: 1582-1590 - 2014
- [j12]Jie Shen, Guangcan Liu, Jia Chen, Yuqiang Fang, Jianbin Xie, Yong Yu, Shuicheng Yan:
Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification. IEEE Trans. Image Process. 23(11): 4786-4798 (2014) - [j11]Guangcan Liu, Shiyu Chang, Yi Ma:
Blind Image Deblurring Using Spectral Properties of Convolution Operators. IEEE Trans. Image Process. 23(12): 5047-5056 (2014) - [j10]Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma:
Fast Low-Rank Subspace Segmentation. IEEE Trans. Knowl. Data Eng. 26(5): 1293-1297 (2014) - [c10]Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu:
A Latent Clothing Attribute Approach for Human Pose Estimation. ACCV (1) 2014: 146-161 - [c9]Guangcan Liu, Ping Li:
Recovery of Coherent Data via Low-Rank Dictionary Pursuit. NIPS 2014: 1206-1214 - [p2]Guangcan Liu, Shuicheng Yan:
Latent Low-Rank Representation. Low-Rank and Sparse Modeling for Visual Analysis 2014: 23-38 - [p1]Guangcan Liu, Shuicheng Yan:
Scalable Low-Rank Representation. Low-Rank and Sparse Modeling for Visual Analysis 2014: 39-60 - [i8]Guangcan Liu, Ping Li:
Recovery of Coherent Data via Low-Rank Dictionary Pursuit. CoRR abs/1404.4032 (2014) - [i7]Guangcan Liu, Ping Li:
Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness. CoRR abs/1404.4646 (2014) - [i6]Jie Shen, Guangcan Liu, Jia Chen, Yuqiang Fang, Jianbin Xie, Yong Yu, Shuicheng Yan:
Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification. CoRR abs/1404.4923 (2014) - [i5]Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu:
A Latent Clothing Attribute Approach for Human Pose Estimation. CoRR abs/1411.4331 (2014) - 2013
- [j9]Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma:
Robust Recovery of Subspace Structures by Low-Rank Representation. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 171-184 (2013) - [j8]Congyan Lang, Jiashi Feng, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Jiebo Luo:
Improving Bottom-up Saliency Detection by Looking into Neighbors. IEEE Trans. Circuits Syst. Video Technol. 23(6): 1016-1028 (2013) - [j7]Bing-Kun Bao, Guangcan Liu, Richang Hong, Shuicheng Yan, Changsheng Xu:
General Subspace Learning With Corrupted Training Data Via Graph Embedding. IEEE Trans. Image Process. 22(11): 4380-4393 (2013) - 2012
- [j6]Guangcan Liu, Shuicheng Yan:
Active Subspace: Toward Scalable Low-Rank Learning. Neural Comput. 24(12): 3371-3394 (2012) - [j5]Congyan Lang, Guangcan Liu, Jian Yu, Shuicheng Yan:
Saliency Detection by Multitask Sparsity Pursuit. IEEE Trans. Image Process. 21(3): 1327-1338 (2012) - [j4]Bing-Kun Bao, Guangcan Liu, Changsheng Xu, Shuicheng Yan:
Inductive Robust Principal Component Analysis. IEEE Trans. Image Process. 21(8): 3794-3800 (2012) - [c8]Yinqiang Zheng, Guangcan Liu, Shigeki Sugimoto, Shuicheng Yan, Masatoshi Okutomi:
Practical low-rank matrix approximation under robust L1-norm. CVPR 2012: 1410-1417 - [c7]Si Liu, Zheng Song, Guangcan Liu, Changsheng Xu, Hanqing Lu, Shuicheng Yan:
Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set. CVPR 2012: 3330-3337 - [c6]Xiangyang Wang, Wanggen Wan, Guangcan Liu:
Multi-Task low-rank and sparse matrix recovery for human motion segmentation. ICIP 2012: 897-900 - [c5]Guangcan Liu, Huan Xu, Shuicheng Yan:
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. AISTATS 2012: 703-711 - [i4]Guangcan Liu, Yi Ma:
Blind Image Deblurring by Spectral Properties of Convolution Operators. CoRR abs/1209.2082 (2012) - 2011
- [c4]Guangcan Liu, Shuicheng Yan:
Latent Low-Rank Representation for subspace segmentation and feature extraction. ICCV 2011: 1615-1622 - [c3]Bin Cheng, Guangcan Liu, Jingdong Wang, ZhongYang Huang, Shuicheng Yan:
Multi-task low-rank affinity pursuit for image segmentation. ICCV 2011: 2439-2446 - [i3]Guangcan Liu, Huan Xu, Shuicheng Yan:
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. CoRR abs/1109.1646 (2011) - 2010
- [j3]Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang:
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM). IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 910-924 (2010) - [c2]Guangcan Liu, Zhouchen Lin, Yong Yu:
Robust Subspace Segmentation by Low-Rank Representation. ICML 2010: 663-670 - [i2]Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma:
Robust Recovery of Subspace Structures by Low-Rank Representation. CoRR abs/1010.2955 (2010) - [i1]Guangcan Liu, Ju Sun, Shuicheng Yan:
Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems. CoRR abs/1011.4829 (2010)
2000 – 2009
- 2009
- [j2]Guangcan Liu, Zhouchen Lin, Yong Yu:
Multi-output regression on the output manifold. Pattern Recognit. 42(11): 2737-2743 (2009) - [j1]Guangcan Liu, Zhouchen Lin, Yong Yu:
Radon Representation-Based Feature Descriptor for Texture Classification. IEEE Trans. Image Process. 18(5): 921-928 (2009) - 2005
- [c1]Guangcan Liu, Yong Yu, Xing Zhu:
A Learning-Based Term-Weighting Approach for Information Retrieval. AAAI 2005: 1418-1423
Coauthor Index
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