Tao Ye

Orcid: 0000-0002-1814-530X

Affiliations:
  • China University of Mining and Technology, Beijing, China


According to our database1, Tao Ye authored at least 30 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
JDPNet: A Network Based on Joint Degradation Processing for Underwater Image Enhancement.
IEEE Trans. Image Process., 2026

AWM-Fuse: Multi-Modality Image Fusion for Adverse Weather via Global and Local Text Perception.
IEEE Trans. Image Process., 2026

CAWM-Mamba: A unified model for infrared-visible image fusion and compound adverse weather restoration.
Expert Syst. Appl., 2026

2025
An Efficient 3D Point Cloud-Based Place Recognition Approach for Underground Tunnels Using Convolution and Self-Attention Mechanism.
J. Field Robotics, June, 2025

Few-Shot Railway Intrusion Detection Without Forgetting via Double RPN and Detector.
IEEE Trans. Intell. Veh., April, 2025

UMCFuse: A Unified Multiple Complex Scenes Infrared and Visible Image Fusion Framework.
IEEE Trans. Image Process., 2025

Parallelization Strategy of Laser Stripe Center Extraction for Structured Light Measurement.
IEEE Trans. Instrum. Meas., 2025

2024
Parallelization Strategy of Non-Local Means Filtering Algorithm for Real-Time Denoising of Forward-Looking Multi-Beam Sonar Images.
IEEE Trans. Circuits Syst. Video Technol., December, 2024

AE-Net: A High Accuracy and Efficient Network for Railway Obstacle Detection Based on Convolution and Transformer.
IEEE Trans. Instrum. Meas., 2024

MMA-UNet: A Multi-Modal Asymmetric UNet Architecture for Infrared and Visible Image Fusion.
CoRR, 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

Real-Time Object Detection Network in UAV-Vision Based on CNN and Transformer.
IEEE Trans. Instrum. Meas., 2023

Tri-Modal Medical Image Fusion and Denoising Based on BitonicX Filtering.
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

Application of Lightweight Railway Transit Object Detector.
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

Real-World Railway Traffic Detection Based on Faster Better Network.
IEEE Access, 2018

2016
Fast star centroid extraction algorithm with sub-pixel accuracy based on FPGA.
J. Real Time Image Process., 2016


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