Biography

Currently, I am a postdoctoral scholar in Prof. Song-Chun Zhu's VCLA lab at UCLA. Previously, I was a research scientist at Human Cyber Physical Intelligence Integration Lab of Sun Yat-sen University, advised by Prof. Liang Lin and Prof. Hui Cheng. I am working toward dual PhD awards in the Department of Computing of the Hong Kong Polytechnic University, working with Prof. Lei Zhang. I obtained my Ph.D. degree with honors from the School of Data and Computer Science at Sun Yat-sen University in December 2017, advised by Prof. Liang Lin. I also received a BE degree with honors from Sun Yat-sen University.

Email: kezewang(at)gmail.com

Download CV Here [Google Scholar]

News
  • The code of our TMM paper "Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning" is available.
  • One paper is accepted by IJCAI 2018. The paper and source code will be released soon!
  • One paper is accepted by TNNLS. The paper and source code have been released.
  • The code of our CVPR paper "Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection" is available.
  • Two papers are accepted by CVPR 2018.
  • Research Interest
    Computer Vision
  • Visual Detection, including saliency detection, face identification, general object detection.
  • Human-centric Analysis, including 2D/3D human pose estimation, human action recognition.
  • Machine Learning
  • Semi-superivsed Learning, including Deep Active Learning
  • Curriculum Learning & Self-paced Learning
  • Self-supervised Learning
  • Academic Services
    Reviewer for
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Multimedia (TMM)
  • Pattern Recognition (PR)
  • Neurocomputating
  • AAAI Conference on Artificial Intelligence (AAAI) 2019
  • International Joint Conference on Artificial Intelligence (IJCAI) 2018
  • Asian Conference on Computer Vision (ACCV) 2018
  • Selected Honors & Awards
    2017 Student travel grant, awarded by SIGMM and ACM Multimedia 2017

    2016 Graduate National Scholarship

    2015 Graduate National Scholarship