Kejie Li

I am a PhD student working with Ian Reid at the University of Adelaide and Australian Centre for Robotic Vision (ACRV). My research focuses on geometry reconstruction (e.g., depth and shape) from RGB image(s) using deep learning. I am also interested into building "semantic aware" SLAM systems. Previously, I did my Bachelor of Advanced Computing (Honours) at the Australian National University supervised by Stephen Gould.

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Publications
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
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
Real-Time Monocular Object-Model Aware Sparse SLAM
Mehdi Hosseinzadeh, Kejie Li, Yasir Latif, Ian Reid
International Conference on Robotics and Automation (ICRA) , 2019
Optimizable Object Reconstruction from a Single View
Kejie Li, Ravi Garg, Ming Cai, Ian Reid
arXiv Preprint, 2018