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] [Teaching] [Publication] [Google Scholar] [Code & Data]

News

  • I joined School of Statistics and Data Science, Nankai University.
  • Visual Learning Lab

    Our current research focuses on exploiting the potential power of artificial intelligence, especially machine learning techniques, to advance deep learning, computer vision, image/video processing, and social ethics. If you are interested in joining the group, 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, UAE.
  • 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] [Github] [Bibtex]


    CDNet: Complementary Depth Network for RGB-D Salient Object Detection
    Wen-Da Jin#, Jun Xu#, Qi Han, Yi Zhang
    IEEE Transactions on Image Processing (TIP), accept.
    [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]


    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, Mingming Cheng
    IEEE Transactions on Image Processing (TIP), vol. 30, pp. 3113-3126, Feb. 2021.
    [Paper] [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
    IEEE Transactions on Image Processing (TIP), vol. 30, pp. 1949-1961, Jan. 2021.
    [Paper] [Arxiv] [Github] [Bibtex]


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

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