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Tao Ye 0002
Person information
- affiliation: China University of Mining and Technology, Beijing, China
Other persons with the same name
- Tao Ye — disambiguation page
- Tao Ye 0001 — Amazon, San Francisco, CA, USA
- Tao Ye 0003 — Beijing University of Technology, China
- Tao Ye 0004 — Tianjin University, Tianjin, China
- Tao Ye 0005 — Huazhong University of Science and Technology, Wuhan, China
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2020 – today
- 2024
- [j21]Tao Ye, Xiangpeng Deng, Xiao Cong, Hongkun Zhou, Xiangming Yan:
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. 34(12): 13226-13243 (2024) - [j20]Zongyang Zhao, Jiehu Kang, Bin Wu, Tao Ye, Jian Liang:
AE-Net: A High Accuracy and Efficient Network for Railway Obstacle Detection Based on Convolution and Transformer. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [c1]Xilai Li, Xiaosong Li, Tao Ye, Xiaoqi Cheng, Wuyang Liu, Haishu Tan:
Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image Fusion. WACV 2024: 1617-1626 - [i2]Jingxue Huang, Xilai Li, Tianshu Tan, Xiaosong Li, Tao Ye:
MMA-UNet: A Multi-Modal Asymmetric UNet Architecture for Infrared and Visible Image Fusion. CoRR abs/2404.17747 (2024) - 2023
- [j19]Tao Ye, Zhikang Zheng, Yunwang Li, Xi Zhang, Xiangpeng Deng, Yu Ouyang, Zongyang Zhao, Xiaozhi Gao:
An adaptive focused target feature fusion network for detection of foreign bodies in coal flow. Int. J. Mach. Learn. Cybern. 14(8): 2777-2791 (2023) - [j18]Xinghua Chai, Jianyong Yang, Xiangming Yan, Chengliang Di, Tao Ye:
Efficient Underground Tunnel Place Recognition Algorithm Based on Farthest Point Subsampling and Dual-Attention Transformer. Sensors 23(22): 9261 (2023) - [j17]Yuchan Jie, Xiaosong Li, Fuqiang Zhou, Tao Ye:
Tri-Modal Medical Image Fusion and Denoising Based on BitonicX Filtering. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [j16]Tao Ye, Wenyang Qin, Zongyang Zhao, Xiao Zhi Gao, Xiangpeng Deng, Yu Ouyang:
Real-Time Object Detection Network in UAV-Vision Based on CNN and Transformer. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j15]Tao Ye, Zhikang Zheng, Xiaosong Li, Zongyang Zhao, Xiao-Zhi Gao:
An Efficient Few-Shot Object Detection Method for Railway Intrusion via Fine-Tune Approach and Contrastive Learning. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [i1]Xilai Li, Xiaosong Li, Tao Ye, Xiaoqi Cheng, Wuyang Liu, Haishu Tan:
Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image Fusion. CoRR abs/2311.01886 (2023) - 2022
- [j14]Tao Ye, Jun Zhang, Zhi-hao Zhang, Yi Zhang, Fuqiang Zhou, Xiaozhi Gao:
Fault detection of train mechanical parts using multi-mode aggregation feature enhanced convolution neural network. Int. J. Mach. Learn. Cybern. 13(6): 1781-1794 (2022) - [j13]Tao Ye, Wenyang Qin, Yunwang Li, Shouan Wang, Jun Zhang, Zongyang Zhao:
Dense and Small Object Detection in UAV-Vision Based on a Global-Local Feature Enhanced Network. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j12]Tao Ye, Xiangming Yan, Shouan Wang, Yunwang Li, Fuqiang Zhou:
An Efficient 3-D Point Cloud Place Recognition Approach Based on Feature Point Extraction and Transformer. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j11]Tao Ye, Jun Zhang, Yunwang Li, Xi Zhang, Zongyang Zhao, Zezhong Li:
CT-Net: An Efficient Network for Low-Altitude Object Detection Based on Convolution and Transformer. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j10]Tao Ye, Zongyang Zhao, Shouan Wang, Fuqiang Zhou, Xiao Zhi Gao:
A Stable Lightweight and Adaptive Feature Enhanced Convolution Neural Network for Efficient Railway Transit Object Detection. IEEE Trans. Intell. Transp. Syst. 23(10): 17952-17965 (2022) - [j9]Tao Ye, Jun Zhang, Zongyang Zhao, Fuqiang Zhou:
Foreign Body Detection in Rail Transit Based on a Multi-Mode Feature-Enhanced Convolutional Neural Network. IEEE Trans. Intell. Transp. Syst. 23(10): 18051-18063 (2022) - 2021
- [j8]Tao Ye, Zhihao Zhang, Xi Zhang, Yongran Chen, Fuqiang Zhou:
Fault detection of railway freight cars mechanical components based on multi-feature fusion convolutional neural network. Int. J. Mach. Learn. Cybern. 12(6): 1789-1801 (2021) - [j7]Tao Ye, Cong Ren, Xi Zhang, Guodong Zhai, Rui Wang:
Application of Lightweight Railway Transit Object Detector. IEEE Trans. Ind. Electron. 68(10): 10269-10280 (2021) - [j6]Tao Ye, Xi Zhang, Yi Zhang, Jie Liu:
Railway Traffic Object Detection Using Differential Feature Fusion Convolution Neural Network. IEEE Trans. Intell. Transp. Syst. 22(3): 1375-1387 (2021) - 2020
- [j5]Tao Ye, Zhihao Zhang, Xi Zhang, Fuqiang Zhou:
Autonomous Railway Traffic Object Detection Using Feature-Enhanced Single-Shot Detector. IEEE Access 8: 145182-145193 (2020)
2010 – 2019
- 2019
- [j4]Tao Ye, Baocheng Wang, Ping Song, Juan Li:
Correction: Ye, T.; et al. Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode. Sensors 2018, 18, 1916. Sensors 19(14): 3044 (2019) - 2018
- [j3]Juan Li, Fuqiang Zhou, Tao Ye:
Real-World Railway Traffic Detection Based on Faster Better Network. IEEE Access 6: 68730-68739 (2018) - [j2]Tao Ye, Baocheng Wang, Ping Song, Juan Li:
Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode. Sensors 18(6): 1916 (2018) - 2016
- [j1]Fuqiang Zhou, Jingxin Zhao, Tao Ye, Lipeng Chen:
Fast star centroid extraction algorithm with sub-pixel accuracy based on FPGA. J. Real Time Image Process. 12(3): 613-622 (2016)
Coauthor Index
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last updated on 2025-02-04 22:06 CET by the dblp team
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