Short Bio

I am a first-year PhD student at the College of Engineering and Computer Science, Australian National University, where I am supervised by Stephen Gould and Liang Zheng. Befor that, I received the M.Eng. from the University of the Chinese Academy of Sciences in 2019, and the B.Eng. from Beijing Jiaotong University in 2016.

Research interest my general research interest is to develop deep learning algorithms for computer vision. Recently, I focus on person re-identification, domain adaptation, and generative adversarial networks.

News

  • 2020-06, We have released the test set and VisDA-2020 test phase begins! [Challenge Devkit]

  • 2020-05, We have released the training and validation sets and VisDA-2020 validation phase begins! [Challenge Devkit]

  • 2020-03, The 4th Visual Domain Adaptation Challenge in ECCV 2020 starts.
    Registration starts. [Challenge website]

  • 2020-01, One paper is accepted in IEEE TCSVT. [Paper]

  • 2019-06, Won 3rd place out of 84 participants in vehicle re-identification in CVPR 2019 AI-City Challenge. [Paper, Code]

  • 2018-03, One paper is accepted in IEEE CVPR, 2018. [Paper]

  • 2017-07, One paper is accepted in IEEE ICCV, 2017. [Paper]

Publications

  • Rethinking Triplet Loss for Domain Adaptation
  • Weijian Deng, Liang Zheng, Yifan Sun, Jianbin Jiao.
    IEEE TCSVT, 2020. [Paper]
    paper picture
  • SVDNet for Pedestrian Retrieval
  • Yifan Sun, Liang Zheng, Weijian Deng, Shengjin Wang
    ICCV, 2017. [Paper, Code]
    paper picture

    Full list is in Google Scholar

    Skills & Proficiency

    Python

    Matlab

    Pytorch

    Tensorflow

    Awards

    • China National Scholarship 2014, 2015, 2018

    • Australian Government Research Training Program (AGRTP) Scholarship

    Professional Service