Tao Ye
Orcid: 0000-0002-1814-530XAffiliations:
- China University of Mining and Technology, Beijing, China
According to our database1,
Tao Ye
authored at least 21 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
AE-Net: A High Accuracy and Efficient Network for Railway Obstacle Detection Based on Convolution and Transformer.
IEEE Trans. Instrum. Meas., 2024
Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image Fusion.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Efficient Underground Tunnel Place Recognition Algorithm Based on Farthest Point Subsampling and Dual-Attention Transformer.
Sensors, November, 2023
An Efficient Few-Shot Object Detection Method for Railway Intrusion via Fine-Tune Approach and Contrastive Learning.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
An adaptive focused target feature fusion network for detection of foreign bodies in coal flow.
Int. J. Mach. Learn. Cybern., 2023
2022
Foreign Body Detection in Rail Transit Based on a Multi-Mode Feature-Enhanced Convolutional Neural Network.
IEEE Trans. Intell. Transp. Syst., 2022
A Stable Lightweight and Adaptive Feature Enhanced Convolution Neural Network for Efficient Railway Transit Object Detection.
IEEE Trans. Intell. Transp. Syst., 2022
CT-Net: An Efficient Network for Low-Altitude Object Detection Based on Convolution and Transformer.
IEEE Trans. Instrum. Meas., 2022
An Efficient 3-D Point Cloud Place Recognition Approach Based on Feature Point Extraction and Transformer.
IEEE Trans. Instrum. Meas., 2022
Dense and Small Object Detection in UAV-Vision Based on a Global-Local Feature Enhanced Network.
IEEE Trans. Instrum. Meas., 2022
Fault detection of train mechanical parts using multi-mode aggregation feature enhanced convolution neural network.
Int. J. Mach. Learn. Cybern., 2022
2021
Railway Traffic Object Detection Using Differential Feature Fusion Convolution Neural Network.
IEEE Trans. Intell. Transp. Syst., 2021
IEEE Trans. Ind. Electron., 2021
Fault detection of railway freight cars mechanical components based on multi-feature fusion convolutional neural network.
Int. J. Mach. Learn. Cybern., 2021
2020
Autonomous Railway Traffic Object Detection Using Feature-Enhanced Single-Shot Detector.
IEEE Access, 2020
2019
Correction: Ye, T.; et al. Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode. <i>Sensors</i> 2018, <i>18</i>, 1916.
Sensors, 2019
2018
Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode.
Sensors, 2018
IEEE Access, 2018
2016
J. Real Time Image Process., 2016