Peiliang Li
Orcid: 0000-0001-5839-8777Affiliations:
- Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Robotics Institute, Hong Kong
According to our database1,
Peiliang Li
authored at least 16 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
SIMPL: A Simple and Efficient Multi-Agent Motion Prediction Baseline for Autonomous Driving.
IEEE Robotics Autom. Lett., 2024
2023
You Only Label Once: 3D Box Adaptation From Point Cloud to Image With Semi-Supervised Learning.
IEEE Robotics Autom. Lett., October, 2023
Are All Point Clouds Suitable for Completion? Weakly Supervised Quality Evaluation Network for Point Cloud Completion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
IEEE Robotics Autom. Lett., 2022
You Only Label Once: 3D Box Adaptation from Point Cloud to Image via Semi-Supervised Learning.
CoRR, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
PUA-MOS: End-to-End Point-wise Uncertainty Weighted Aggregation for Moving Object Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2020
Tracking from Patterns: Learning Corresponding Patterns in Point Clouds for 3D Object Tracking.
CoRR, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
IEEE Trans. Robotics, 2018
Relocalization, Global Optimization and Map Merging for Monocular Visual-Inertial SLAM.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Stereo Vision-Based Semantic 3D Object and Ego-Motion Tracking for Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2018, 2018
2017
Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, 2017