Guangcan Liu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 92

Top Venues

CoRR

IEEE Trans. Image Process.

Vis. Comput.

Neurocomputing

Publications

JieJie Xu, Yisheng Zhu, Wenqing Wang, Guangcan Liu
A real-time semi-dense depth-guided depth completion network. Vis. Comput. 40 (1) (2024)
Yuepan Li, Fan Lyu, Yuyang Li, Wei Feng, Guangcan Liu, Fanhua Shang
Towards stable training of parallel continual learning. CoRR (2024)
Zihao Jia, Shengkun Sun, Guangcan Liu, Bo Liu
MSSD: multi-scale self-distillation for object detection. Vis. Intell. 2 (1) (2024)
Fan Lyu, Kaile Du, Yuyang Li, Hanyu Zhao, Zhang Zhang, Guangcan Liu, Liang Wang
Variational Continual Test-Time Adaptation. CoRR (2024)
Shengkun Sun, Zihao Jia, Yisheng Zhu, Guangcan Liu, Zhengtao Yu
Decoupled spatio-temporal grouping transformer for skeleton-based action recognition. Vis. Comput. 40 (8) (2024)
Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu
Confidence Self-Calibration for Multi-Label Class-Incremental Learning. CoRR (2024)
Zebin Guo, Hui Shuai, Guangcan Liu, Yisheng Zhu, Wenqing Wang
Multi-level feature fusion pyramid network for object detection. Vis. Comput. 39 (9) (2023)
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) (2023)
Yisheng Zhu, Hu Han, Zhengtao Yu, Guangcan Liu
Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition. ICCV (2023)
Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu
Multilevel Spatial-Temporal Excited Graph Network for Skeleton-Based Action Recognition. IEEE Trans. Image Process. 32 (2023)
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 (2023)
Guangcan Liu, Wayne Zhang
Recovery of Future Data via Convolution Nuclear Norm Minimization. IEEE Trans. Inf. Theory 69 (1) (2023)
Zhenyu Guan, Ziqi Wang, Yisheng Zhu, Guangcan Liu
Presswork defect inspection using only defect-free high-resolution images. Vis. Comput. 39 (4) (2023)
Zihao Jia, Shengkun Sun, Guangcan Liu
Real-Time Traffic Sign Detection Based on Weighted Attention and Model Refinement. Neural Process. Lett. 55 (6) (2023)
Shuangxun Ma, Yuehu Liu, Guangcan Liu, Qinghai Zheng, Chi Zhang
Orthogonal multi-view tensor-based learning for clustering. Neurocomputing 500 (2022)
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) (2022)
Guangcan Liu
Time Series Forecasting via Learning Convolutionally Low-Rank Models. IEEE Trans. Inf. Theory 68 (5) (2022)
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 (2022)
Wenyan Pan, Zhili Zhou, Guangcan Liu, Teng Huang, Hongyang Yan, Q. M. Jonathan Wu
Auto-Focus Contrastive Learning for Image Manipulation Detection. CoRR (2022)
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) (2021)
Guangcan Liu
Time Series Forecasting via Learning Convolutionally Low-Rank Models. CoRR (2021)
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) (2021)
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) (2021)
Yisheng Zhu, Hu Han, Guangcan Liu, Qingshan Liu
Collaborative Local-Global Learning for Temporal Action Proposal. ACM Trans. Intell. Syst. Technol. 12 (5) (2021)
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) (2021)
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) (2021)
Qi Zhao, Guangcan Liu, Qingshan Liu
Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor. Neurocomputing 463 (2021)
Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin
Optimization Induced Equilibrium Networks. CoRR (2021)
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) (2021)
Yubao Sun, Jiwei Chen, Qingshan Liu, Guangcan Liu
Learning image compressed sensing with sub-pixel convolutional generative adversarial network. Pattern Recognit. 98 (2020)
Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin
Maximum-and-Concatenation Networks. CoRR (2020)
Yisheng Zhu, Guangcan Liu
Fine-grained action recognition using multi-view attentions. Vis. Comput. 36 (9) (2020)
Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin
Maximum-and-Concatenation Networks. ICML (2020)
Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu
Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery. IJCAI (2020)
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 (2020)
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) (2020)
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)
Xin Wang, Guangcan Liu, Wayne Zhang, Qingshan Liu
Selecting Optimal Completion to Partial Matrix via Self-Validation. IEEE Signal Process. Lett. 27 (2020)
Xianglin Guo, Xingyu Xie, Guangcan Liu, Mingqiang Wei, Jun Wang
Robust Low-rank subspace segmentation with finite mixture noise. Pattern Recognit. 93 (2019)
Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. IJCAI (2019)
Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. CoRR (2019)
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)
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 (2019)
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 (2019)
Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin
Differentiable Linearized ADMM. ICML (2019)
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 (2019)
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 (2019)
Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang
Matrix recovery with implicitly low-rank data. Neurocomputing 334 (2019)
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) (2019)
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) (2019)
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) (2019)
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)
Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. CoRR (2019)
Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. CoRR (2019)
Guangcan Liu, Wayne Zhang
Recovery of Future Data via Convolution Nuclear Norm Minimization. CoRR (2019)
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) (2019)
Guangcan Liu, Zhao Zhang, Qingshan Liu, Hongkai Xiong
Robust Subspace Clustering With Compressed Data. IEEE Trans. Image Process. 28 (10) (2019)
Xingyu Xie, Jianlong Wu, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin
Differentiable Linearized ADMM. CoRR (2019)
Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. CoRR (2019)
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 (2019)
Yang Li, Guangcan Liu, Qingshan Liu, Yubao Sun, Shengyong Chen
Moving object detection via segmentation and saliency constrained RPCA. Neurocomputing 323 (2019)
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)
Zhenbo Yu, Guangcan Liu, Qingshan Liu, Jiankang Deng
Spatio-temporal convolutional features with nested LSTM for facial expression recognition. Neurocomputing 317 (2018)
Yulin Sun, Zhao Zhang, Weiming Jiang, Guangcan Liu, Meng Wang, Shuicheng Yan
Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations. ICPR (2018)
Xiuyi Chen, Guangcan Liu, Jing Shi, Jiaming Xu, Bo Xu
Distilled Binary Neural Network for Monaural Speech Separation. IJCNN (2018)
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)
Zhenbo Yu, Qinshan Liu, Guangcan Liu
Deeper cascaded peak-piloted network for weak expression recognition. Vis. Comput. 34 (12) (2018)
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)
Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, Wei Liu
Reversed Spectral Hashing. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
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 (2018)
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)
Guangcan Liu, Qingshan Liu, Yubao Sun, Zhao Zhang, Meng Wang
Fast and Robust Subspace Clustering Using Random Projections. CoRR (2018)
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)
Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang
Matrix Completion with Nonuniform Sampling: Theories and Methods. CoRR (2018)
Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang
Matrix Recovery with Implicitly Low-Rank Data. CoRR (2018)
Guangcan Liu, Jing Shi, Xiuyi Chen, Jiaming Xu, Bo Xu
Improving Speech Separation with Adversarial Network and Reinforcement Learning. IJCNN (2018)
Jiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu
Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. AAAI (2018)
Xingyu Xie, Xianglin Guo, Guangcan Liu, Jun Wang
Implicit Block Diagonal Low-Rank Representation. IEEE Trans. Image Process. 27 (1) (2018)
Maojin Sun, Shijie Hao, Guangcan Liu
Semi-supervised vehicle classification via fusing affinity matrices. Signal Process. 149 (2018)
Lei Wang, Zhao Zhang, Guangcan Liu, Qiaolin Ye, Jie Qin, Meng Wang
Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation. ICPR (2018)
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)
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) (2017)
Guangcan Liu, Qingshan Liu, Xiaotong Yuan
A New Theory for Matrix Completion. NIPS (2017)
Yang Li, Guangcan Liu, Shengyong Chen
Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA. CoRR (2017)
Guangcan Liu, Qingshan Liu, Ping Li
Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. IEEE Trans. Pattern Anal. Mach. Intell. 39 (1) (2017)
Qingshan Liu, Jiankang Deng, Jing Yang, Guangcan Liu, Dacheng Tao
Adaptive Cascade Regression Model For Robust Face Alignment. IEEE Trans. Image Process. 26 (2) (2017)
Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan
A Deterministic Analysis for LRR. IEEE Trans. Pattern Anal. Mach. Intell. 38 (3) (2016)
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)
Guangcan Liu, Ping Li
Low-Rank Matrix Completion in the Presence of High Coherence. IEEE Trans. Signal Process. 64 (21) (2016)
Lai Li, Guangcan Liu, Qingshan Liu
Advancing Iterative Quantization Hashing Using Isotropic Prior. MMM (2) (2016)
Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao
Low-Rank Tensor Constrained Multiview Subspace Clustering. ICCV (2015)
Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma
Non-blind deblurring of structured images with geometric deformation. Vis. Comput. 31 (2) (2015)
Guangcan Liu, Shiyu Chang, Yi Ma
Blind Image Deblurring Using Spectral Properties of Convolution Operators. IEEE Trans. Image Process. 23 (12) (2014)
Guangcan Liu, Ping Li
Recovery of Coherent Data via Low-Rank Dictionary Pursuit. NIPS (2014)
Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma
Fast Low-Rank Subspace Segmentation. IEEE Trans. Knowl. Data Eng. 26 (5) (2014)
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) (2014)
Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu
A Latent Clothing Attribute Approach for Human Pose Estimation. CoRR (2014)
Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu
A Latent Clothing Attribute Approach for Human Pose Estimation. ACCV (1) (2014)
Guangcan Liu, Ping Li
Recovery of Coherent Data via Low-Rank Dictionary Pursuit. CoRR (2014)
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 (2014)

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Publication Activity (10 Years)

Top Topics

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Guangcan Liu