Guangcan Liu

According to our database, Guangcan Liu authored at least 105 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A real-time semi-dense depth-guided depth completion network.

JieJie Xu, Yisheng Zhu, Wenqing Wang, Guangcan Liu

Vis. Comput., January, 2024

MSSD: multi-scale self-distillation for object detection.

Zihao Jia, Shengkun Sun, Guangcan Liu, Bo Liu

Vis. Intell., 2024

Confidence Self-Calibration for Multi-Label Class-Incremental Learning.

Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu

CoRR, 2024

Variational Continual Test-Time Adaptation.

Fan Lyu, Kaile Du, Yuyang Li, Hanyu Zhao, Zhang Zhang, Guangcan Liu, Liang Wang

CoRR, 2024

2023

Real-Time Traffic Sign Detection Based on Weighted Attention and Model Refinement.

Zihao Jia, Shengkun Sun, Guangcan Liu

Neural Process. Lett., December, 2023

Multi-level feature fusion pyramid network for object detection.

Zebin Guo, Hui Shuai, Guangcan Liu, Yisheng Zhu, Wenqing Wang

Vis. Comput., September, 2023

Presswork defect inspection using only defect-free high-resolution images.

Zhenyu Guan, Ziqi Wang, Yisheng Zhu, Guangcan Liu

Vis. Comput., April, 2023

Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models.

Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Recovery of Future Data via Convolution Nuclear Norm Minimization.

Guangcan Liu, Wayne Zhang

IEEE Trans. Inf. Theory, 2023

Multilevel Spatial-Temporal Excited Graph Network for Skeleton-Based Action Recognition.

Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu

IEEE Trans. Image Process., 2023

Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos.

Zhili Zhou, Chun Ding, Jin Li, Eman Mohammadi, Guangcan Liu, Yimin Yang, Q. M. Jonathan Wu

IEEE Trans. Image Process., 2023

Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition.

Yisheng Zhu, Hu Han, Zhengtao Yu, Guangcan Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Time Series Forecasting via Learning Convolutionally Low-Rank Models.

Guangcan Liu

IEEE Trans. Inf. Theory, 2022

Predicting Tropical Cyclogenesis Using a Deep Learning Method From Gridded Satellite and ERA5 Reanalysis Data in the Western North Pacific Basin.

Rui Zhang, Qingshan Liu, Renlong Hang, Guangcan Liu

IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Video Representation Learning Using Improved Instance-Wise Contrastive Learning and Deep Clustering.

Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

Orthogonal multi-view tensor-based learning for clustering.

Shuangxun Ma, Yuehu Liu, Guangcan Liu, Qinghai Zheng, Chi Zhang

Neurocomputing, 2022

Auto-Focus Contrastive Learning for Image Manipulation Detection.

Wenyan Pan, Zhili Zhou, Guangcan Liu, Teng Huang, Hongyang Yan, Q. M. Jonathan Wu

CoRR, 2022

2021

DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery.

Zhao Zhang, Jiahuan Ren, Haijun Zhang, Zheng Zhang, Guangcan Liu, Shuicheng Yan

ACM Trans. Multim. Comput. Commun. Appl., 2021

3D Tensor Auto-encoder with Application to Video Compression.

Yang Li, Guangcan Liu, Yubao Sun, Qingshan Liu, Shengyong Chen

ACM Trans. Multim. Comput. Commun. Appl., 2021

Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification.

Zhao Zhang, Yulin Sun, Yang Wang, Zheng Zhang, Haijun Zhang, Guangcan Liu, Meng Wang

IEEE Trans. Neural Networks Learn. Syst., 2021

Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering.

Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang

IEEE Trans. Knowl. Data Eng., 2021

Collaborative Local-Global Learning for Temporal Action Proposal.

Yisheng Zhu, Hu Han, Guangcan Liu, Qingshan Liu

ACM Trans. Intell. Syst. Technol., 2021

Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations.

Qi Zhao, Chuqiao Chen, Guangcan Liu, Qingshan Liu, Shengyong Chen

ACM Trans. Intell. Syst. Technol., 2021

Matrix Completion with Deterministic Sampling: Theories and Methods.

Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor.

Qi Zhao, Guangcan Liu, Qingshan Liu

Neurocomputing, 2021

Optimization Induced Equilibrium Networks.

Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin

CoRR, 2021

2020

Fine-grained action recognition using multi-view attentions.

Yisheng Zhu, Guangcan Liu

Vis. Comput., 2020

Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation.

Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang

IEEE Trans. Knowl. Data Eng., 2020

Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space.

Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang

IEEE Trans. Image Process., 2020

Selecting Optimal Completion to Partial Matrix via Self-Validation.

Xin Wang, Guangcan Liu, Wayne Zhang, Qingshan Liu

IEEE Signal Process. Lett., 2020

Learning image compressed sensing with sub-pixel convolutional generative adversarial network.

Yubao Sun, Jiwei Chen, Qingshan Liu, Guangcan Liu

Pattern Recognit., 2020

Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery.

Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Maximum-and-Concatenation Networks.

Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery.

Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Correction to: On fusing the latent deep CNN feature for image classification.

Xueliang Liu, Rongjie Zhang, Zhijun Meng, Richang Hong, Guangcan Liu

World Wide Web, 2019

On fusing the latent deep CNN feature for image classification.

Xueliang Liu, Rongjie Zhang, Zhijun Meng, Richang Hong, Guangcan Liu

World Wide Web, 2019

Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation.

Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan

IEEE Trans. Knowl. Data Eng., 2019

Robust Subspace Clustering With Compressed Data.

Guangcan Liu, Zhao Zhang, Qingshan Liu, Hongkai Xiong

IEEE Trans. Image Process., 2019

Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification.

Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan

IEEE Trans. Big Data, 2019

Robust Low-rank subspace segmentation with finite mixture noise.

Xianglin Guo, Xingyu Xie, Guangcan Liu, Mingqiang Wei, Jun Wang

Pattern Recognit., 2019

Robust auto-weighted projective low-rank and sparse recovery for visual representation.

Lei Wang, Bangjun Wang, Zhao Zhang, Qiaolin Ye, Liyong Fu, Guangcan Liu, Meng Wang

Neural Networks, 2019

Matrix recovery with implicitly low-rank data.

Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang

Neurocomputing, 2019

Moving object detection via segmentation and saliency constrained RPCA.

Yang Li, Guangcan Liu, Qingshan Liu, Yubao Sun, Shengyong Chen

Neurocomputing, 2019

Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning.

Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Differentiable Linearized ADMM.

Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification.

Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering.

Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Deeper cascaded peak-piloted network for weak expression recognition.

Zhenbo Yu, Qinshan Liu, Guangcan Liu

Vis. Comput., 2018

Reversed Spectral Hashing.

Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, Wei Liu

IEEE Trans. Neural Networks Learn. Syst., 2018

Implicit Block Diagonal Low-Rank Representation.

Xingyu Xie, Xianglin Guo, Guangcan Liu, Jun Wang

IEEE Trans. Image Process., 2018

Semi-supervised vehicle classification via fusing affinity matrices.

Maojin Sun, Shijie Hao, Guangcan Liu

Signal Process., 2018

Spatio-temporal convolutional features with nested LSTM for facial expression recognition.

Zhenbo Yu, Guangcan Liu, Qingshan Liu, Jiankang Deng

Neurocomputing, 2018

Multi-component group sparse RPCA model for motion object detection under complex dynamic background.

Min Wu, Yubao Sun, Renlong Hang, Qingshan Liu, Guangcan Liu

Neurocomputing, 2018

Matrix Completion with Nonuniform Sampling: Theories and Methods.

Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang

CoRR, 2018

Fast and Robust Subspace Clustering Using Random Projections.

Guangcan Liu, Qingshan Liu, Yubao Sun, Zhao Zhang, Meng Wang

CoRR, 2018

Multi-scale Spatiotemporal Information Fusion Network for Video Action Recognition.

Yutong Cai, Weiyao Lin, John See, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong

Proceedings of the IEEE Visual Communications and Image Processing, 2018

Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation.

Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Pedestrian Detection with a Directly-Cascaded Deconvolution-Convolution Structure.

Zhiming Chen, Xintong Han, Weiyao Lin, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Improving Speech Separation with Adversarial Network and Reinforcement Learning.

Guangcan Liu, Jing Shi, Xiuyi Chen, Jiaming Xu, Bo Xu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Distilled Binary Neural Network for Monaural Speech Separation.

Xiuyi Chen, Guangcan Liu, Jing Shi, Jiaming Xu, Bo Xu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation.

Jing Shi, Jiaming Xu, Guangcan Liu, Bo Xu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding.

Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation.

Lei Wang, Zhao Zhang, Guangcan Liu, Qiaolin Ye, Jie Qin, Meng Wang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations.

Yulin Sun, Zhao Zhang, Weiming Jiang, Guangcan Liu, Meng Wang, Shuicheng Yan

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning.

Jiahuan Ren, Zhao Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment.

Jiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Adaptive Cascade Regression Model For Robust Face Alignment.

Qingshan Liu, Jiankang Deng, Jing Yang, Guangcan Liu, Dacheng Tao

IEEE Trans. Image Process., 2017

Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction in Hyperspectral Images.

Yubao Sun, Sujuan Wang, Qingshan Liu, Renlong Hang, Guangcan Liu

Remote. Sens., 2017

Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit.

Guangcan Liu, Qingshan Liu, Ping Li

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA.

Yang Li, Guangcan Liu, Shengyong Chen

CoRR, 2017

A New Theory for Matrix Completion.

Guangcan Liu, Qingshan Liu, Xiaotong Yuan

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Low-Rank Matrix Completion in the Presence of High Coherence.

Guangcan Liu, Ping Li

IEEE Trans. Signal Process., 2016

Multitask Low-Rank Affinity Graph for Image Segmentation and Image Annotation.

Teng Li, Bin Cheng, Bingbing Ni, Guangchan Liu, Shuicheng Yan

ACM Trans. Intell. Syst. Technol., 2016

A Deterministic Analysis for LRR.

Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation.

Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Advancing Iterative Quantization Hashing Using Isotropic Prior.

Lai Li, Guangcan Liu, Qingshan Liu

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

2015

Non-blind deblurring of structured images with geometric deformation.

Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma

Vis. Comput., 2015

Low-Rank Tensor Constrained Multiview Subspace Clustering.

Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Fast Low-Rank Subspace Segmentation.

Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma

IEEE Trans. Knowl. Data Eng., 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 Trans. Image Process., 2014

Blind Image Deblurring Using Spectral Properties of Convolution Operators.

Guangcan Liu, Shiyu Chang, Yi Ma

IEEE Trans. Image Process., 2014

Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness.

Guangcan Liu, Ping Li

CoRR, 2014

Recovery of Coherent Data via Low-Rank Dictionary Pursuit.

Guangcan Liu, Ping Li

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A Latent Clothing Attribute Approach for Human Pose Estimation.

Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu

Proceedings of the Computer Vision - ACCV 2014, 2014

Scalable Low-Rank Representation.

Guangcan Liu, Shuicheng Yan

Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

Latent Low-Rank Representation.

Guangcan Liu, Shuicheng Yan

Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

2013

General Subspace Learning With Corrupted Training Data Via Graph Embedding.

Bing-Kun Bao, Guangcan Liu, Richang Hong, Shuicheng Yan, Changsheng Xu

IEEE Trans. Image Process., 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 Technol., 2013

Robust Recovery of Subspace Structures by Low-Rank Representation.

Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2013

2012

Saliency Detection by Multitask Sparsity Pursuit.

Congyan Lang, Guangcan Liu, Jian Yu, Shuicheng Yan

IEEE Trans. Image Process., 2012

Inductive Robust Principal Component Analysis.

Bing-Kun Bao, Guangcan Liu, Changsheng Xu, Shuicheng Yan

IEEE Trans. Image Process., 2012

Active Subspace: Toward Scalable Low-Rank Learning.

Guangcan Liu, Shuicheng Yan

Neural Comput., 2012

Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation.

Guangcan Liu, Huan Xu, Shuicheng Yan

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Blind Image Deblurring by Spectral Properties of Convolution Operators

Guangcan Liu, Yi Ma

CoRR, 2012

Multi-Task low-rank and sparse matrix recovery for human motion segmentation.

Xiangyang Wang, Wanggen Wan, Guangcan Liu

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Practical low-rank matrix approximation under robust L1-norm.

Yinqiang Zheng, Guangcan Liu, Shigeki Sugimoto, Shuicheng Yan, Masatoshi Okutomi

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set.

Si Liu, Zheng Song, Guangcan Liu, Changsheng Xu, Hanqing Lu, Shuicheng Yan

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Latent Low-Rank Representation for subspace segmentation and feature extraction.

Guangcan Liu, Shuicheng Yan

Proceedings of the IEEE International Conference on Computer Vision, 2011

Multi-task low-rank affinity pursuit for image segmentation.

Bin Cheng, Guangcan Liu, Jingdong Wang, ZhongYang Huang, Shuicheng Yan

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Unsupervised Object Segmentation with a Hybrid Graph Model (HGM).

Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems

Guangcan Liu, Ju Sun, Shuicheng Yan

CoRR, 2010

Robust Subspace Segmentation by Low-Rank Representation.

Guangcan Liu, Zhouchen Lin, Yong Yu

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Radon Representation-Based Feature Descriptor for Texture Classification.

Guangcan Liu, Zhouchen Lin, Yong Yu

IEEE Trans. Image Process., 2009

Multi-output regression on the output manifold.

Guangcan Liu, Zhouchen Lin, Yong Yu

Pattern Recognit., 2009

2005

A Learning-Based Term-Weighting Approach for Information Retrieval.

Guangcan Liu, Yong Yu, Xing Zhu

Proceedings of the Proceedings, 2005