Dr. Jun XU
Assistant Professor
School of Statistics and Data Science
Nankai University
Tianjin, China
Office: Room 345, Fansun Building
Email: csjunxu [at] nankai [dot] edu [dot] cn

[Main] [Members] [Publication] [Google Scholar] [Code & Data]

News

  • Invite undergraduate students to join us in 2022, as master students.
  • Call for papers! Special Issue of "Image Processing and Symmetry: Topics and Applications" in the journal Symmetry.
  • Invited to give a talk at School of CS/AI, NUAA.
  • Joined School of Statistics and Data Science, Nankai University.
  • Visual Learning Group

    Our current research focuses on exploiting the potential power of artificial intelligence, especially machine learning techniques, to advance deep learning, computational photography, and computer vision. If you are interested in joining us on developing next-generation (AI-based) image processing technologies, please send me an email with your:
  • Chinese/English CV
  • Undergraduate transcript
  • CET-6 (500+) or TOEFL (90+´╝îwritting 26+) transcript
  • English paper
  • Github webpage
  • For potential graduate students, I will not reply unless I receive the required documents (at least CV and transcripts).

    Work Experience

  • 2021.1--Now: Assistant Professor, School of Statistics and Data Science, Nankai University, China.
  • 2019.10--2020.12: Assistant Professor, College of Computer Science, Nankai University, China.
  • 2018.09--2019.10: Research Scientist, Inception Institute of Artificial Intelligence.
  • 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.
  • Recently accepted

    Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
    Gang Xu, Jun Xu*, Zhen Li, Liang Wang, Xing Sun, Mingming Cheng
    Computer Vision and Pattern Recognition (CVPR), 2021.
    [Paper] [Supp] [Arxiv] [Github]


    CDNet: Complementary Depth Network for RGB-D Salient Object Detection
    Wenda Jin#, Jun Xu#, Qi Han, Yi Zhang, Mingming Cheng
    IEEE Transactions on Image Processing (TIP), vol. 30, 3376-3390, Mar. 2021.
    [Paper] [Github]


    Deep Hough Transform for Semantic Line Detection
    Kai Zhao#, Qi Han#, Changbin Zhang, Jun Xu, Mingming Cheng
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accept.
    [Paper] [Arxiv] [Github] [Demo]


    ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
    Wenda Jin#, Jun Xu#, Mingming Cheng, Yi Zhang, Wei Guo
    Neural Information Processing Systems (NeurIPS), Dec. 2020.
    [Paper] [Github] [Bibtex]

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