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 and B.Eng degree from China and supervised by Profs. Yulan Guo.
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!
Axiom−based Grad−CAM: Towards Accurate Visualization and Explanation of CNNs
Ruigang Fu‚ Qingyong Hu‚ Xiaohu Dong‚ Yulan Guo‚ Yinghui Gao and Biao Li
In British Machine Vision Conference (BMVC Oral). 2020.
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo*‚ Hanyun Wang*‚ Qingyong Hu*‚ Hao Liu*‚ Li Liu and Mohammed Bennamoun
In IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI). 2020.
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.