Yuxuan Liu
Orcid: 0000-0002-9607-0518Affiliations:
- Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering
According to our database1,
Yuxuan Liu
authored at least 21 papers
between 2020 and 2025.
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Bibliography
2025
IEEE Trans. Intell. Transp. Syst., June, 2025
Monocular 3D Lane Detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks.
IEEE Trans. Intell. Transp. Syst., June, 2025
TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign Recognition.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
FisheyeDepth: A Real Scale Self-Supervised Depth Estimation Model for Fisheye Camera.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
2024
FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving.
IEEE Trans Autom. Sci. Eng., July, 2024
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks.
CoRR, 2024
CoRR, 2024
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
2023
RNGDet++: Road Network Graph Detection by Transformer With Instance Segmentation and Multi-Scale Features Enhancement.
IEEE Robotics Autom. Lett., May, 2023
CenterLineDet: CenterLine Graph Detection for Road Lanes with Vehicle-mounted Sensors by Transformer for HD Map Generation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
csBoundary: City-Scale Road-Boundary Detection in Aerial Images for High-Definition Maps.
IEEE Robotics Autom. Lett., 2022
CenterLineDet: Road Lane CenterLine Graph Detection With Vehicle-Mounted Sensors by Transformer for High-definition Map Creation.
CoRR, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
In Defense of Knowledge Distillation for Task Incremental Learning and Its Application in 3D Object Detection.
IEEE Robotics Autom. Lett., 2021
IEEE Robotics Autom. Lett., 2021
IEEE Robotics Autom. Lett., 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020