Weijian Deng

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 M.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.
  • Contact me dengwj16@gmail.com and weijian.deng@anu.edu.au


  • Jan, 2020: One paper was accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
  • May, 2019: Won 3rd place out of 84 participants in vehicle re-identification in CVPR 2019 AI-City Challenge. Codes and Paper
  • We extended our preliminary work of SPGAN in CVPR 2018 to end-to-end SPGAN (eSPGAN). Paper
  • July 2018: One paper was accepted to ISPRS journal of photogrammetry and remote sensing. Paper
  • March 2018: One paper was accepted to CVPR 2018. Paper; Tensorflow; Pytorch
  • July 2017: One paper was accepted as the spotlight to ICCV 2017. Paper and Codes

Professional Service

  • Reviewer 2020: ICME; Neurocomputing; ECCV
    Reviewer 2019: T-PAMI; ICME
  • Program Committee Member: IJCAI 2020


  • National Scholarship, 2014, 2015, and 2018
  • Australian Government Research Training Program (AGRTP) Scholarship