Machine Learning system, 3D Vision, Point Cloud Analysis
I am a D.Phil student (Oct 2018 - ) in the Department of Computer Science at the University of Oxford, supervised by Niki Trigoni and Andrew Markham. Prior to Oxford, I obtained my M.Eng degree from the National University of Defense Technology where I was supervised by Yulan Guo, and the B.Eng degree from the National University of Defense Technology.
I am interested in 3D computer vision, machine learning, and robotics. My research goal is to build intelligent systems that are able to achieve an effective and efficient perception and understanding of 3D scenes. In particular, my research focuses on large-scale point cloud segmentation, dynamic point cloud processing, and point cloud tracking. If you are interested in my research or have any use cases that you want to share, feel free to contact me!
RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds
Qingyong Hu‚ Bo Yang‚ Linhai Xie‚ Stefano Rosa‚ Yulan Guo‚ Zhihua Wang‚ Niki Trigoni and Andrew Markham
In IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR Oral). 2020.
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo*‚ Hanyun Wang*‚ Qingyong Hu*‚ Hao Liu*‚ Li Liu and Mohammed Bennamoun
In arXiv preprint arXiv:1912.12033. 2019.
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang‚ Jianan Wang‚ Ronald Clark‚ Qingyong Hu‚ Sen Wang‚ Andrew Markham and Niki Trigoni
In Conference on Neural Information Processing Systems (NeurIPS Spotlight). 2019.