Peiliang Li

Orcid: 0000-0001-5839-8777

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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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
Temporal Point Cloud Completion With Pose Disturbance.
IEEE Robotics Autom. Lett., 2022

You Only Label Once: 3D Box Adaptation from Point Cloud to Image via Semi-Supervised Learning.
CoRR, 2022

Trajectory Prediction with Graph-based Dual-scale Context Fusion.
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

MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection.
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

Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Multi-Sensor 3D Object Box Refinement for Autonomous Driving.
CoRR, 2019

Stereo R-CNN Based 3D Object Detection for Autonomous Driving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator.
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
Monocular Visual-Inertial State Estimation for Mobile Augmented Reality.
Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, 2017


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