Jun Yin

According to our database, Jun Yin authored at least 34 papers between 2010 and 2024.

Collaborative distances:

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

2024

Enhancing multi-modal fusion in visual dialog via sample debiasing and feature interaction.

Chenyu Lu, Jun Yin, Hao Yang, Shiliang Sun

Inf. Fusion, 2024

Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving.

Jun Yin, Shiliang Sun, Lai Wei, Pei Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Effective sample pairs based contrastive learning for clustering.

Jun Yin, Haowei Wu, Shiliang Sun

Inf. Fusion, November, 2023

Multi-view multi-label learning with double orders manifold preserving.

Jun Yin, Wentao Zhang

Appl. Intell., June, 2023

Incomplete Multi-View Clustering With Reconstructed Views.

Jun Yin, Shiliang Sun

IEEE Trans. Knowl. Data Eng., March, 2023

Adaptive Graph Convolutional Subspace Clustering.

Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Incomplete multi-view clustering with cosine similarity.

Jun Yin, Shiliang Sun

Pattern Recognit., 2022

Anchor-based incomplete multi-view spectral clustering.

Jun Yin, Runcheng Cai, Shiliang Sun

Neurocomputing, 2022

2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.

Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Multiview Uncorrelated Locality Preserving Projection.

Jun Yin, Shiliang Sun

IEEE Trans. Neural Networks Learn. Syst., 2020

Adaptive graph-regularized fixed rank representation for subspace segmentation.

Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin

Pattern Anal. Appl., 2020

The Eighth Visual Object Tracking VOT2020 Challenge Results.

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation.

Lai Wei, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafeng Zhang

Neural Process. Lett., 2019

Latent graph-regularized inductive robust principal component analysis.

Lai Wei, Rigui Zhou, Jun Yin, Changming Zhu, Xiafen Zhang, Hao Liu

Knowl. Based Syst., 2019

Subspace segmentation via self-regularized latent <i>K</i>-means.

Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang

Expert Syst. Appl., 2019

2018

Local sparsity preserving projection and its application to biometric recognition.

Jun Yin, Zhihui Lai, Weiming Zeng, Lai Wei

Multim. Tools Appl., 2018

An improved multi-objective optimization-based CICA method with data-driver temporal reference for group fMRI data analysis.

Yuhu Shi, Weiming Zeng, Xiaoyan Tang, Wei Kong, Jun Yin

Medical Biol. Eng. Comput., 2018

2017

Self-regularized fixed-rank representation for subspace segmentation.

Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu

Inf. Sci., 2017

2016

A Novel Brain Networks Enhancement Model (BNEM) for BOLD fMRI Data Analysis With Highly Spatial Reproducibility.

Nizhuan Wang, Weiming Zeng, Dongtailang Chen, Jun Yin, Lei Chen

IEEE J. Biomed. Health Informatics, 2016

Optimized projection for Collaborative Representation based Classification and its applications to face recognition.

Jun Yin, Lai Wei, Miao Song, Weiming Zeng

Pattern Recognit. Lett., 2016

Optimal feature extraction methods for classification methods and their applications to biometric recognition.

Jun Yin, Weiming Zeng, Lai Wei

Knowl. Based Syst., 2016

Spectral clustering steered low-rank representation for subspace segmentation.

Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu

J. Vis. Commun. Image Represent., 2016

2015

Latent space robust subspace segmentation based on low-rank and locality constraints.

Lai Wei, Aihua Wu, Jun Yin

Expert Syst. Appl., 2015

GPU-based parallel group ICA for functional magnetic resonance data.

Yanshan Jing, Weiming Zeng, Nizhuan Wang, Tianlong Ren, Yingchao Shi, Jun Yin, Qi Xu

Comput. Methods Programs Biomed., 2015

2014

Kernel locality-constrained collaborative representation based discriminant analysis.

Lai Wei, Feifei Xu, Jun Yin, Aihua Wu

Knowl. Based Syst., 2014

2013

Image classification using kernel collaborative representation with regularized least square.

Wankou Yang, Zhenyu Wang, Jun Yin, Changyin Sun, Karl Ricanek

Appl. Math. Comput., 2013

Kernel Collaborative Representation with Regularized Least Square for Face Recognition.

Zhenyu Wang, Wankou Yang, Jun Yin, Changyin Sun

Proceedings of the Biometric Recognition - 8th Chinese Conference, 2013

2012

Weighted linear embedding: utilizing local and nonlocal information sufficiently.

Jun Yin, Jingbo Zhou, Zhong Jin, Jian Yang

Neural Comput. Appl., 2012

From NLDA to LDA/GSVD: a modified NLDA algorithm.

Jun Yin, Zhong Jin

Neural Comput. Appl., 2012

Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics.

Minghua Wan, Ming Li, Zhihui Lai, Jun Yin, Zhong Jin

Mach. Vis. Appl., 2012

Kernel sparse representation based classification.

Jun Yin, Zhonghua Liu, Zhong Jin, Wankou Yang

Neurocomputing, 2012

2010

Normalized Direct Linear Discriminant Analysis with its Application to Face Recognition.

Jun Yin, Zhong Jin, Jingbo Zhou

J. Digit. Content Technol. its Appl., 2010

Face recognition based on the quotient image method and sparse representation.

Zhonghua Liu, Jingbo Zhou, Jun Yin, Zhong Jin

Proceedings of the Sixth International Conference on Natural Computation, 2010

A modified NLDA algorithm.

Jun Yin, Zhong Jin

Proceedings of the International Conference on Image Processing, 2010