Hui Xiong

Orcid: 0000-0001-6556-2299

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Hui Xiong authored at least 12 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2022
An End-to-End Multi-Task Learning Model for Drivable Road Detection via Edge Refinement and Geometric Deformation.
IEEE Trans. Intell. Transp. Syst., 2022

Real-Time Monocular Joint Perception Network for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

2021
Probabilistic vehicle trajectory prediction via driver characteristic and intention estimation model under uncertainty.
Ind. Robot, 2021

2020
Probabilistic Long-term Vehicle Trajectory Prediction via Driver Awareness Model.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019
Multi-Stage Residual Fusion Network for LIDAR-Camera Road Detection.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Recurrent Neural Network Architectures for Vulnerable Road User Trajectory Prediction.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Leverage of Limb Detection in Pose Estimation for Vulnerable Road Users.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

An Integrated Approach to Probabilistic Vehicle Trajectory Prediction via Driver Characteristic and Intention Estimation.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Continuous Pedestrian Orientation Estimation using Human Keypoints.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2017
A Unified Framework for Concurrent Pedestrian and Cyclist Detection.
IEEE Trans. Intell. Transp. Syst., 2017

Detection-level fusion for multi-object perception in dense traffic environment.
Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017

2016
A new benchmark for vision-based cyclist detection.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016


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