Dr. Jun XU
Assistant Professor
College of Computer Science
Nankai University
Tianjin, China
Email: nankaimathxujun [AT] gmail [DOT] com
Office: Room 442

[CV] [Google Scholar] [Code and Data]

News

  • Three papers are Accepted by ECCV 2020, congratulations to Zhao Zhang, Qi Han, and Yingjun Du.
  • One paper is Accepted by ICML 2020, congratulations to Dr. Xiantong Zhen.
  • One paper is Accepted by IEEE Transactions on Image Processing.
  • One paper is Accepted by IEEE Transactions on Image Processing.
  • One paper is Accepted by IEEE Transactions on Image Processing.
  • One paper is Accepted by IEEE Transactions on Neural Networks and Learning Systems.
  • Serve as a Program Committee member for IJCAI-PRICAI 2020.
  • Serve as a Reviewer for ECCV 2020.
  • One paper is Accepted by IEEE Transactions on Cybernetics.
  • Serve as a Reviewer for CVPR 2020.
  • One paper is Accepted by WACV 2020.
  • One paper is Accepted by Journal of Systems and Software.
  • Serve as a Program Committee member for AAAI 2020.
  • Recent Research Interests

    • Computer Vision: Image/Video Restoration/Enhancement
    • Machine Learning: Convex/Non-convex/CNN Optimization, Meta/Generative/Reinfocement Learning

    Work Experience

  • 2019.10--Now: Assistant Professor, College of Computer Science, Nankai University, China.
  • 2018.09--2019.10: Research Scientist, Inception Institute of Artificial Intelligence, UAE.
  • 2018.06--2018.09: Post-Doc Fellow, Simon Fraser University, Canada (with Prof. Yasutaka Furukawa).
  • Education

  • 2014.07--2018.05: Ph.D., Department of Computing, The Hong Kong Polytechnic University.
  • 2011.09--2014.06: M.Sc., School of Mathematics Science, Nankai University.
  • 2007.09--2011.06: B.Sc., School of Mathematics Science, Nankai University.
  • Manuscript

    JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
    Yu-Huan Wu, Shang-Hua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rong-Guo Zhang, Ming-Ming Cheng
    Submitted, Apr. 2020.
    [Arxiv] [Github] [Bibtex]


    Bilateral Attention Network for RGB-D Salient Object Detection
    Zhao Zhang, Zheng Lin, Jun Xu, Wen-Da Jin, Shao-Ping Lu, Deng-Ping Fan
    Submitted, Apr. 2020.
    [Arxiv] [Github] [Bibtex]


    Non-local Image Smoothing with Objective Evaluation
    Zhi-Ang Liu, Ying-Kun Hou, Jun Xu*, Xian-Tong Zhen, Ling Shao, Ming-Ming Cheng
    Submitted, Feb. 2020.
    [Arxiv] [Supplementary File] [Github] [Bibtex]


    Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image
    Jun Xu#, Yuan Huang#, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao
    Submitted, May 2020.
    [Arxiv] [Github] [Bibtex]

    2020

    Learning to Learn with Variational Information Bottleneck for Domain Generalization
    Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees Snoek, Ling Shao
    European Conference on Computer Vision (ECCV), Aug. 2020.
    [Paper] [Github] [Bibtex]


    Deep Hough Transform for Semantic Line Detection
    Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng
    European Conference on Computer Vision (ECCV), Aug. 2020.
    [Arxiv] [Github] [Bibtex]


    Gradient-Induced Co-Saliency Detection
    Zhao Zhang, Wen-Da Jin, Jun Xu, Ming-Ming Cheng
    European Conference on Computer Vision (ECCV), Aug. 2020.
    [Arxiv] [Github] [Bibtex]


    Learning to Learn Kernels with Variational Random Features
    Xiantong Zhen#, Haoliang Sun#, Yingjun Du#, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
    International Conference on Machine Learning (ICML), July 2020.
    [Paper] [Arxiv] [Github] [Bibtex]


    Conditional Variational Image Deraining
    Yingjun Du#, Jun Xu#, Xiantong Zhen, Ming-Ming Cheng, Ling Shao
    IEEE Transactions on Image Processing (TIP), vol. 29, issue 1, pp. 6288-6301, Dec. 2020.
    [Paper] [Arxiv] [Github] [Bibtex]


    NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising
    Yingkun Hou, Jun Xu*, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao
    IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5121-5135, Mar. 2020.
    [Paper] [Arxiv] [Github] [Bibtex]


    STAR: A Structure and Texture Aware Retinex Model
    Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, Ling Shao
    IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5022-5037, Mar. 2020.
    [Paper] [Arxiv] [Github] [Bibtex]


    PID Controller based Stochastic Optimization Acceleration for Deep Neural Networks
    Haoqian Wang, Yi Luo, Wangpeng An, Qingyun Sun, Jun Xu, Lei Zhang
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020. (Extension of our CVPR 2018 work)
    [Paper] [Github] [Bibtex]


    Variational Image Deraining
    Yingjun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang
    IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. (Oral)
    [Paper] [Github] [Bibtex]

    2019

    Scaled Simplex Representation for Subspace Clustering
    Jun Xu*, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang
    IEEE Transactions on Cybernetics (TCYB), Oct. 2019.
    [Paper] [Supp] [Arxiv] [Github] [Bibtex]


    RANet: Ranking Attention Network for Fast Video Object Segmentation
    Ziqin Wang, Jun Xu*, Li Liu, Fan Zhu, and Ling Shao
    International Conference on Computer Vision (ICCV), Seoul, Korea, 2019.
    [Paper] [Supp] [Arxiv] [Github] [DAVIS-2016 Benchmark] [DAVIS-2017 Benchmark] [Bibtex]


    Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?
    Jun Xu*, Wangpeng An, David Zhang, Lei Zhang
    Pattern Recognition, vol. 88, pp. 679-688, Apr. 2019.
    [Paper] [Arxiv] [Github] [Bibtex]


    LDFR: Learning Deep Feature Representation for Software Defect Prediction
    Zhou Xu, Shuai Li, Jun Xu, Jin Liu, Xiapu Luo, Yifeng Zhang, Tao Zhang, Jacky Keung, Yutian Tang
    Journal of Systems and Software, vol. 154, 110402, December 2019.
    [Paper] [Arxiv] [Bibtex]


    TSTSS: A Two-Stage Training Subset Selection Framework for Cross Version Defect Prediction
    Zhou Xu, Shuai Li, Xiapu Luo, Jin Liu, Tao Zhang, Yutian Tang, Jun Xu, Peipei Yuan, Jacky Keung
    Journal of Systems and Software, vol. 154, pp. 59-78, August 2019.
    [Paper] [Bibtex]

    2018 and Before

    Nonlocal Self-Similarity Based Prior Modeling for Image Denoising
    Jun Xu
    Ph.D. Thesis, May 2018.
    [Pdf] [PPT] [Bibtex]


    Real-world Noisy Image Denoising: A New Benchmark
    Jun Xu, Hui Li, Zhetong Liang, David Zhang, Lei Zhang
    arxiv:1804.02603
    [Arxiv] [Dataset]


    A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising
    Jun Xu, Lei Zhang, David Zhang
    European Conference on Computer Vision (ECCV), Munich, Germany, 2018.
    [Paper] [Supp] [Poster] [Github] [Bibtex]


    External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising
    Jun Xu, Lei Zhang, David Zhang
    IEEE Transactions on Image Processing (TIP), vol. 27, issue 6, pp. 2996-3010, June 2018.
    [Paper] [Supp] [Github] [Bibtex]


    A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping
    Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang
    Computer Vision and Pattern Recognition (CVPR), pp. 4758-4766, Salt Lake City, USA, 2018.
    [Paper] [Supp] [Code] [Bibtex]


    A PID Controller Approach for Stochastic Optimization of Deep Networks
    Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang
    Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018.
    [Paper] [Supp] [Code] [Bibtex]


    Partial Deconvolution with Inaccurate Blur Kernel
    Dongwei Ren, Wangmeng Zuo, David Zhang, Jun Xu, Lei Zhang
    IEEE Transactions on Image Processing (TIP), vol. 27, issue 1, pp. 511-524, Jan. 2018.
    [Paper] [Bibtex]


    Cross Version Defect Prediction with Representative Data via Sparse Subset Selection
    Zhou Xu, Shuai Li, Yutian Tang, Xiapu Luo, Tao Zhang, Jin Liu, Jun Xu
    International Conference on Program Comprehension (ICPC), Gothenburg, Sweden, 2018.
    [Paper] [Bibtex]


    Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising
    Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng
    International Conference on Computer Vision (ICCV), 1096-1104, Venice, Italy, 2017.
    [Paper] [Supp] [Poster] [Github] [Bibtex]


    Patch Group based Bayesian Learning for Blind Image Denoising
    Jun Xu, Dongwei Ren, Lei Zhang, David Zhang
    Asian Conference on Computer Vision Workshop (ACCVW), Taipei, China, 2016.
    [Paper] [Supp] [Code] [Bibtex]


    Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising
    Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang and Xiangchu Feng
    International Conference on Computer Vision (ICCV), 244-252, Santiago, Chile, 2015.
    [Paper] [Supp] [Poster] [Code] [Bibtex]


    Reweighted Sparse Subspace Clustering
    Jun Xu, Kui Xu, Ke Chen, Jishou Ruan
    Computer Vision and Image Understanding (CVIU), vol. 138, pp. 25-37, Sep. 2015.
    [Paper] [Code] [Freiburg-Berkeley Motion Segmentation Dataset (137 Sequences, 54.7M)] [Bibtex]


    newDNA-Prot: Prediction of DNA-binding proteins by employing support vector machine and a comprehensive sequence representation
    Yanping Zhang, Jun Xu, Wei Zheng, Chen Zhang, Xingye Qiu, Ke Chen, Jishou Ruan
    Computational Biology and Chemistry, vol. 52, pp. 51-59, Oct. 2014.
    [Paper] [Bibtex]

    Academic Service

    Conference PC Member/Reviewer
    • CVPR 2020, 2019
    • ICCV 2019
    • ECCV 2020
    • AAAI 2020
    • IJCAI 2019
    • MICCAI 2019
    Journal Reviewer
    • IEEE Transactions on Image Processing (TIP)
    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    • IEEE Transactions on Cybernetics (TCYB)
    • IEEE Transactions on Industrial Electronics (TIE)
    • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    • IEEE Transactions on Multimedia (TMM)
    • SIAM Journal on Imaging Sciences (SIIMS)
    • Pattern Recognition (PR)

    All things are difficult before they are easy.
    — Thomas Fuller