Xingchen Zhang

Orcid: 0000-0002-8012-0103

According to our database1, Xingchen Zhang authored at least 24 papers between 2018 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Dual-branch spatio-temporal graph neural networks for pedestrian trajectory prediction.
Pattern Recognit., October, 2023

Visible and Infrared Image Fusion Using Deep Learning.
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

Self-Supervised RGB-T Tracking with Cross-Input Consistency.
CoRR, 2023

2022
Monocular Visual Traffic Surveillance: A Review.
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

Deep Learning-Based Multi-Focus Image Fusion: A Survey and a Comparative Study.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
Study on Customized Shuttle Transit Mode Responding to Spatiotemporal Inhomogeneous Demand in Super-Peak.
Inf., 2021

Benchmarking and comparing multi-exposure image fusion algorithms.
Inf. Fusion, 2021

Real-time long-term tracking with reliability assessment and object recovery.
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

Anti-occlusion object tracking based on correlation filter.
Signal Image Video Process., 2020

Object fusion tracking based on visible and infrared images: A comprehensive review.
Inf. Fusion, 2020

Multi-focus Image Fusion: A Benchmark.
CoRR, 2020

Characteristics of plant circular RNAs.
Briefings Bioinform., 2020

VIFB: A Visible and Infrared Image Fusion Benchmark.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Image Fusion
Springer, ISBN: 978-981-15-4866-6, 2020

2019
Automatic Discovery of Railway Train Driving Modes Using Unsupervised Deep Learning.
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

A New Image and Video Fusion Method Based on Cross Bilateral Filter.
Proceedings of the 21st International Conference on Information Fusion, 2018


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