About Me

I’m currently a PhD candidate in Pattern Recognition and Intelligent System at National Laboratory of Pattern Recognition, CASIA. My research intersts includes computer vision, deep learning, pattern recognition and reinforcement learning.

[Resume] [GitHub] [Google Scholar] [Mail]

News

  • 2020.02: Two papers are accepted by CVPR 2020.
  • 2019.09: Start visiting the VLLab at UC Merced as a co-trained PhD student advised by Prof. Ming-Hsuan Yang.
  • 2019.05: One paper is accepted by TIP.
  • 2018.02: One paper is accepted by CVPR 2018.

Education

Publications

  • Composing Good Shots by Exploiting Mutual Relations
    Debang Li, Junge Zhang, Kaiqi Huang, Ming-Hsuan Yang
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. PDF

  • Learning to Learn Cropping Models for Different Aspect Ratio Requirements
    Debang Li, Junge Zhang, Kaiqi Huang
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. PDF

  • Universal Adversarial Perturbations against ObjectDetection Debang Li, Junge Zhang, Kaiqi Huang Pattern Recognition (PR), 2020. PDF

  • Fast A3RL: Aesthetics Aware Adversarial Reinforcement Learning for Image Cropping
    Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
    IEEE Transcation on Image Processing (TIP), 2019.
    PDF BiBTex Homepage

  • A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
    Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
    ArXiv PDF BiBTex Homepage

Awards & Honors

  • Merit Student of University of Chinese Academy of Sciences, 2019.

  • 4th Place, AIIDE StarCraft AI Competition 2017

  • Outstanding Graduate of Xi’an Jiaotong University, 2016.

  • Outstanding Student of Xi’an Jiaotong University, 2013, 2014, 2015.

Academic Activities

  • Reviewer for IEEE TPAMI

  • Reviewer for ICPR 2018

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