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JIANG Tingting

  • Associate Professor
  • Institute of Digital Media, School of Computer Science, Peking University
    National Biomedical Imaging Center, Peking University
  • 个人简介
    Dr. Jiang's research interest covers computer vision, image and video quality assessment, and biomedical image processing.
  • 所授课程
    Algorithm Design and Analysis (Compulsory, 4 credits)
    Theory, Models and Methods of Computational Vision (Elective, 3 credits)
  • 获奖及荣誉
    First Prize in Technology Progress, Chinese Institute of Electronics Science, 2018
  • 个人履历
    2014.08-present Associate Professor, Department of Computer Science and Technology, Peking University
    2010.01 to 2014.07 Lecturer, Department of Computer Science and Technology, Peking University
    2007.12-2009.12 Postdoctoral Fellow, INRIA Institute, France
    2001.08-2007.12 PhD, Department of Computer Science, Duke University, USA
    1996.08-2001.07 Bachelor, University of Science and Technology of China
  • 承担项目
    National Natural Science Foundation project and Ministry of Science and Technology 973 plan
  • 代表性论文及论著
    1. Zhiwei Fan, Tingting Jiang, Tiejun Huang, Active Sampling Exploiting Reliable Informativeness for Subjective Image Quality Assessment based on Pairwise Comparison, Transactions on Multimedia (TMM), Vol. 19, Issue. 12, Dec. 2017, pp. 2720 – 2735.
    2. Dingquan Li, Tingting Jiang, Weisi Lin, and Ming Jiang. Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?, IEEE Transactions on Multimedia (TMM), Vol. 21, No. 5, May 2019, pp. 1221-1234.
    3. Wen Heng, Tingting Jiang, Wen Gao. How to Assess the Quality of Compressed Surveillance Videos Using Face Recognition, IEEE Transaction on Circuits and Systems for Video Technology (TCSVT), Vol. 29, Issue. 8, Aug. 2019, pp. 2229-2243.
    4. Dingquan Li, Tingting Jiang, and Ming Jiang. Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training, International Journal of Computer Vision (IJCV), Special Issue on Computer Vision in the Wild, 129, Jan. 2021, pp. 1238–1257 .
    5. Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li, Towards Unified Surgical Skill Assessment, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR2021), Virtual, June 2021.