About Me

This is Yuxuan Liu (刘宇轩), a 4th-year Ph.D. student in Electronic and Computing Engineering (ECE) Department of the Hong Kong University of Science and Technology (HKUST). I am supervised by Prof.Ming Liu. Before joining HKUST, I received my bachelor degree in Mechatronic from Zhejiang University.

My research interests lie in image-based 3D perception, 3D object detection, monocular depth prediction, autonomous driving, robotics, etc.

During my Ph.D. study period, I participate in the deployment of the first commercial autonomous logistic vehicle Hercules. During the research period, I also gather experience in server management for the lab. In my leisure time, I enjoy spending my time in language learning.

Education

Ph.D. in Electronic and Computing Engineering

2019 - current
Hong Kong University of Science and Technology

Developing autonomous driving algorithm under the supervison of Prof. Ming Liu.

BSc in Mechatronics

2015 - 2019
Zhejiang University

Projects

FSNet - Full Scale Self-supervising Monocular Depth Estimation Network.
VisualDet3D - A unify code-base for image-based 3D object detection
Paper Reading Blog - A collections of paper notes.

Publications

FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving
IEEE Transactions on Automation Science and Engineering, 2023.

Yuxuan Liu, Zhenhua Xu, Huaiyang Huang, Lujia Wang, Ming Liu
arXiv code
Ground-aware Monocular 3D Object Detection for Autonomous Driving
IEEE Robotics and Automation Letters (RA-L), 2021.

Yuxuan Liu, Yuan Yixuan, Ming Liu
arXiv code
Yolostereo3d: A step back to 2d for efficient stereo 3d detection
IEEE International Conference on Robotics and Automation (ICRA), 2021

Yuxuan Liu, Lujia Wang, Ming Liu
arXiv code
Star-Convolution for Image-Based 3D Object Detection
International Conference on Robotics and Automation (ICRA), 2022

Yuxuan Liu, Zhenhua Xu, Ming Liu
In Defense of Knowledge Distillation for Task Incremental Learning and its Application in 3D Object Detection
IEEE Robotics and Automation Letters (RA-L), 2021

Peng Yun, Yuxuan Liu and Ming Liu
csBoundary: City-Scale Road-Boundary Detection in Aerial Images for High-Definition Maps
IEEE Robotics and Automation Letters (RA-L), 2022

Zhenhua Xu, Yuxuan Liu, Lu Gan, Xiangcheng Hu, Yuxiang Sun, Ming Liu, Lujia Wang
arXiv code
RNGDet: Road Network Graph Detection by Transformer in Aerial Images
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022

Zhenhua Xu, Yuxuan Liu, Lu Gan, Yuxiang Sun, Lujia Wang, and Ming Liu
arXiv code
Atg-pvd: Ticketing parking violations on a drone
European Conference on Computer Vision, 2020

Hengli Wang, Yuxuan Liu, Huaiyang Huang, Yuheng Pan, Wenbin Yu, Jialin Jiang, Dianbin Lyu, Mohammud J Bocus, Ming Liu, Ioannis Pitas, Rui Fan