Wencheng Zhu

I received my Doctoral degree at Department of Automation, Tsinghua Univeristy, in Intelligent Vision Group, under the supervision of Prof. Jiwen Lu.

I did my Bachelors and Masters from Tianjin University of Computer Science and Technology, advised by Prof. Qinghua Hu and Pengfei Zhu.

I'm interested in computer vision and machine learning. My researches are mainly focused on video summarization, video object segmentation, and image matting.

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News

  • 2021-09: One paper on video summarization is accepted to Pattern Recognition 2021.
  • 2021-02: One paper on video object segmentation is accepted to IEEE Transactions on Circuits and Systems for Video          Technology 2021.
  • 2020-11: One paper on video summarization is accepted to IEEE Transaction on Image Processing 2020.
  • 2019-09: One paper on subspace clustering is accepted to Pattern Recognition 2019.
  • 2017-01: One paper on subspace clustering is accepted to Pattern Recognition 2017
  • 2016-08: One paper on visual tracking is nominated for the best paper PRICAI 2016.
  • Selected Publications

    dise Learning Multiscale Hierarchical Attention for Video Summarization
    Wencheng Zhu, Jiwen Lu, Yucheng Han, and Jie Zhou
    Pattern Recognition (PR), 2021


    We propose a multiscale hierarchical attention approach for supervised video summarization.

    dise Separable Structure Modeling for Semi-supervised Video Object Segmentation
    Wencheng Zhu, Jiahao Li, Jiwen Lu, and Jie Zhou
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021

    [PDF] [Code] [Video]

    We propose a separable structure modeling approach for semi-supervised video object segmentation.

    dise DSNet: A Flexible Detect-to-Summarize Network for Video Summarization
    Wencheng Zhu, Jiwen Lu, Jiahao Li, and Jie Zhou
    IEEE Transactions on Image Processing (TIP), 2020

    [PDF] [Code] [bibtex]

    We propose a Detect-to-Summarize network for video summarization.

    dise Structured General and Specific Multi-view Subspace Clustering
    Wencheng Zhu, Jiwen Lu, and Jie Zhou
    Pattern Recognition (PR), 2019
    [PDF] [bibtex]

    A multiple subspace clustering approach.

    dise Nonlinear Subspace Clustering for Image Clustering
    Wencheng Zhu, Jiwen Lu, and Jie Zhou
    Pattern Recognition Letters (PRL), 2018

    [PDF] [bibtex]

    We propose a nonlinear subspace clustering approach for image clustering.

    dise Nonlinear Subspace Clustering
    Wencheng Zhu, Jiwen Lu, and Jie Zhou
    IEEE International Conference on Image Processing (ICIP), 2017
    [PDF] [bibtex]

    We propose a nonlinear subspace clustering approach.

    dise Subspace Clustering guided Unsupervised Feature Selection
    Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo
    Pattern Recognition (PR), 2017
    [PDF] [Code] [bibtex]

    We propose a feature selection approach based on subspace clustering.

    dise Non-convex Regularized Self-representation for Unsupervised Feature Selection
    Pengfei Zhu, Wencheng Zhu, Weizhi Wang, Wangmeng Zuo, Qinghua Hu
    Image and Vision Computing (IVC), 2016
    [PDF] [Code] [bibtex]

    We propose a non-convex regularized feature selection approach.

    dise Set to Set Visual Tracking
    Wencheng Zhu, Pengfei Zhu, Qinghua Hu, Changqing Zhang
    Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2016
    [PDF] [Code] [bibtex]

    We propose a visual tracking approach by using set to set distance.

    Honors and Awards

  • Outstanding Graduate, Tianjin University, 2017.
  • National Scholarship, Tianjin University, 2016-2017.
  • Best Paper Nomination on PRICAI 2016.
  • Outstanding Graduate, Tianjin University, 2014.
  • Professional Activities

  • Reviewer, TIP, TNNLS, TKDE, TCYB, TMM, TCSVT, TOMM, TCSS, PR, PRL, IEEE Acess.
  • Reviewer, ICME, WACV, ICIP, ICPR, VCIP, CASE, BTAS, BigMM, IScIDE, JVIC, MMSP.

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