Zujun Yu

Orcid: 0000-0003-3898-2452

According to our database1, Zujun Yu authored at least 15 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Spatial Activation Suppression for Unsupervised Anomaly Detectors in Freight Train Fault Detection.
IEEE Trans. Instrum. Meas., 2024

2023
Unraveling False Positives in Unsupervised Defect Detection Models: A Study on Anomaly-Free Training Datasets.
Sensors, December, 2023

ℒ풪<sup>2</sup>net: Global-Local Semantics Coupled Network for scene-specific video foreground extraction with less supervision.
Pattern Anal. Appl., November, 2023

Intrusion detection for high-speed railways based on unsupervised anomaly detection models.
Appl. Intell., April, 2023

An optimization method for out-of-distribution anomaly detection models.
CoRR, 2023

2020
On the Identification of Elastic Moduli of In-Service Rail by Ultrasonic Guided Waves.
Sensors, 2020

Action Recognition Based on Two-Stream Convolutional Networks With Long-Short-Term Spatiotemporal Features.
IEEE Access, 2020

Vanishing Point Detection and Rail Segmentation Based on Deep Multi-Task Learning.
IEEE Access, 2020

2019
An Adaptive Track Segmentation Algorithm for a Railway Intrusion Detection System.
Sensors, 2019

High-Speed Railway Intruding Object Image Generating with Generative Adversarial Networks.
Sensors, 2019

Foreground Detection for Infrared Videos With Multiscale 3-D Fully Convolutional Network.
IEEE Geosci. Remote. Sens. Lett., 2019

Estimating the Axial Load of In-Service Continuously Welded Rail Under the Influences of Rail Wear and Temperature.
IEEE Access, 2019

2018
Foreground Detection with Deeply Learned Multi-Scale Spatial-Temporal Features.
Sensors, 2018

An Ultrasonic Guided Wave Mode Excitation Method in Rails.
IEEE Access, 2018

2014
The estimation approach of rail thermal stress based on vehicle-track dynamic responses.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014


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