About Me

To understanding visual perception.

Fei Qi

Associated Professor, Ph.D. Supervisor
School of Artificial Intelligence, Xidian Unviersity,
PO Box 134#, 2 S Taibai Road,
Xi'An, Shaanxi 710071 PR China

Education

  • Ph.D. and M.Eng., January, 2007, Tsinghua University, Beijing, China.
  • B.Eng., July, 2000, Northwestern Polytechnical University, Xi’an, China.

Employment

  • 2018/01 – now, Associate Professor, School of Artificial Intelligence, Xidian University, Xi’an, PR China.
  • 2008/07 – 2017/10, Associate Professor, School of Electronic Engineering, Xidian University, Xi’an, PR China.
  • 2013/12 – 2015/12, Research Fellow, Moscow Institute of Physics and Technology, Moscow, Russia.
  • 2007/03-2008/06, Lecturer, School of Electronic Engineering, Xidian University, Xi’an, PR China.

Projects

  • 2022/01 – 2025/12, Weakly Supervised Representation Learning for CMC Defects Detection, funded by National Natural Science Foundation of China.
  • 2016/01 – 2019/12, Visual Saliency Analysis for Binocular and Motion Images under the Framework of Solving Inverse Problem, funded by National Natural Science Foundation of China.
  • 2009/01 – 2011/12, Tracking and Motion Analysis of Articulated Objects based on Manifold Learning, funded by National Natural Science Foundation of China.

Research Interests

  • Human visual system
    • Mechanism and computational modeling (e.g., saliency estimation)
    • Geometry perception
    • Bio-inspired visual recognition
  • Machine Learning and Data Science
    • Deep Learning
    • Evolutionary Automatic Maching Learning
    • Reinforcement Learning
    • Power Prediction for New Energy
    • Knowledge Discovery
  • Image and video understanding
    • Image representation (e.g. sparse coding, autoencoder, bag-of-words)
    • Motion estimation, analysis, and applications
    • Articulated objects tracking
    • Screen Contents Understanding
    • Visual Surveillance
  • Optimization and applications