Kejie Li

I am a PhD student working with Ian Reid at the University of Adelaide. I am also affiliated with Australian Centre for Robotic Vision (ACRV) for my PhD research. I received my Bachelor of Advanced Computing (Honours) at the Australian National University supervised by Stephen Gould. Prior to that, I did my Bacholor of Computer Science at Shandong University, China. My research focuses on geometry reconstruction (e.g., depth and object shape) from RGB image(s) using deep learning. I am particularly interested in "semantic aware" SLAM system.

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News

  • Feb 2020: One paper accepted to CVPR 2020.
  • Sep 2019: I will join Facebook Reality Lab in Seattle for an internship.
  • Jul 2019: One paper accepted to BMVC 2019 as oral presentation.
  • Jul 2018: One paper accepted to ECCV 2018.
  • Feb 2018: One paper accepted to CVPR 2018.
  • Publications

    FroDO: From Detections to 3D Objects
    Kejie Li *, Martin Rünz *, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard Newcombe,
    Computer Vision and Pattern Recognition (CVPR), 2020
    Single-view Object Shape Reconstruction Using Deep Shape Prior and Silhouette
    Kejie Li, Ravi Garg, Ming Cai, Ian Reid
    British Machine Vision Conference (BMVC), 2019 (oral)
    Real-Time Monocular Object-Model Aware Sparse SLAM
    Mehdi Hosseinzadeh, Kejie Li, Yasir Latif, Ian Reid
    International Conference on Robotics and Automation (ICRA) , 2019
    Efficient Dense Point Cloud Object Reconstruction using Deformation Vector Fields
    Kejie Li, Trung Pham, Huangying Zhan, Ian Reid
    European Conference on Computer Vision (ECCV) , 2018
    Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
    Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian Reid
    Computer Vision and Pattern Recognition (CVPR), 2018

    Professional Activity

    Journal Reviewer
  • RA-L
  • Conference Reviewer
  • CVPR: 2019, 2020
  • ECCV: 2020
  • ICCV: 2019
  • ICRA: 2019
  • IROS: 2020