Xingchen Zhang
Orcid: 0000-0002-8012-0103
According to our database1,
Xingchen Zhang
authored at least 25 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Intell. Transp. Syst., November, 2024
2023
Dual-branch spatio-temporal graph neural networks for pedestrian trajectory prediction.
Pattern Recognit., October, 2023
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
Deformation Monitoring and Trend Analysis of Reservoir Bank Landslides by Combining Time-Series InSAR and Hurst Index.
Remote. Sens., February, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
ST CrossingPose: A Spatial-Temporal Graph Convolutional Network for Skeleton-Based Pedestrian Crossing Intention Prediction.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
2021
Study on Customized Shuttle Transit Mode Responding to Spatiotemporal Inhomogeneous Demand in Super-Peak.
Inf., 2021
IET Image Process., 2021
2020
DSiamMFT: An RGB-T fusion tracking method via dynamic Siamese networks using multi-layer feature fusion.
Signal Process. Image Commun., 2020
Signal Image Video Process., 2020
Inf. Fusion, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
ISPRS Int. J. Geo Inf., 2019
Corrections to "SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks".
IEEE Access, 2019
SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks.
IEEE Access, 2019
Object Fusion Tracking Based on Visible and Infrared Images Using Fully Convolutional Siamese Networks.
Proceedings of the 22th International Conference on Information Fusion, 2019
2018
Identifying Modes of Driving Railway Trains from GPS Trajectory Data: An Ensemble Classifier-Based Approach.
ISPRS Int. J. Geo Inf., 2018
Object Tracking via Deep Multi-View Compressive Model for Visible and Infrared Sequences.
Proceedings of the 21st International Conference on Information Fusion, 2018
Proceedings of the 21st International Conference on Information Fusion, 2018