Xulei Liu

According to our database, Xulei Liu authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DynamicRemover: Constructing Static Map with Object Dynamic Probability Analysis.

Rui Li, Yuhang Li, Yafei Wang, Ruitao Zhang, Xulei Liu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

NEAR: Noise-Aware Temporal Encoder and Adaptive Recurrent Interaction for Motion Forecasting.

Weibang Chen, Yafei Wang, Xulei Liu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Interactive Trajectory Prediction Using a Driving Risk Map-Integrated Deep Learning Method for Surrounding Vehicles on Highways.

Xulei Liu, Yafei Wang, Kun Jiang, Zhisong Zhou, Kanghyun Nam, Chengliang Yin

IEEE Trans. Intell. Transp. Syst., 2022

ATDS: Adaptive Temporal and Dual Spatial Encoders for Motion Forecasting.

Shengjie Wu, Yafei Wang, Xulei Liu, Jing Hu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

FS-GRU: Continuous Perception and Prediction with inter Frame Feature Sharing.

Zhikai Chen, Yafei Wang, Xulei Liu, Xinchang Wang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Trajectory Prediction of Preceding Target Vehicles Based on Lane Crossing and Final Points Generation Model Considering Driving Styles.

Xulei Liu, Yafei Wang, Zhisong Zhou, Kanghyun Nam, Chongfeng Wei, Chengliang Yin

IEEE Trans. Veh. Technol., 2021

TAPNet: Enhancing Trajectory Prediction with Auxiliary Past Learning Task.

Zhicheng Zhang, Yafei Wang, Xulei Liu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

A Deep Learning-based Approach to Line Crossing Prediction for Lane Change Maneuver of Adjacent Target Vehicles.

Xulei Liu, Ge Jin, Yafei Wang, Chengliang Yin

Proceedings of the IEEE International Conference on Mechatronics, 2021

2020

ASD-SLAM: A Novel Adaptive-Scale Descriptor Learning for Visual SLAM.

Taiyuan Ma, Yafei Wang, Zili Wang, Xulei Liu, Huimin Zhang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

Fragile neural networks: the importance of image standardization for deep learning in digital pathology.

Jonathan Folmsbee, Starr Johnson, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

2018

Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer.

Jonathan Folmsbee, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018