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.
CV /
Google Scholar /
GitHub /
Email
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Relational Reasoning over Spatial-Temporal Graphs for Video Summarization
Wencheng Zhu, Yucheng Han, Jiwen Lu, and Jie Zhou
IEEE Transactions on Image Processing (TIP), 2022
[PDF]
[bibtex]
We condcut relational reasoning over spatial-temporal graphs for video summarization.
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Learning Multiscale Hierarchical Attention for Video Summarization
Wencheng Zhu, Jiwen Lu, Yucheng Han, and Jie Zhou
Pattern Recognition (PR), 2021
[PDF]
[bibtex]
We propose a multiscale hierarchical attention approach for supervised video summarization.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Honors and Awards
The Shuimu Tsinghua Scholar Program, Tsinghua University, 2021.
Outstanding Graduate, Tianjin University, 2017.
National Scholarship, Tianjin University, 2016-2017.
Best Paper Nomination on PRICAI 2016.
Outstanding Graduate, Tianjin University, 2014.
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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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