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2020 – today
- 2025
[j16]Dingyuan Bai
, Baoqing Guo, Tao Ruan, Xingfang Zhou, Tao Sun, Wang Yu, Liu Tao:
F2RAIL: panoptic segmentation integrating Fpn and transFormer towards RAILway. Appl. Intell. 55(4): 287 (2025)- [j15]YuanHao Zhang, Zujun Yu, Liqiang Zhu, Baoqing Guo, Yao Wang:
Rail-PatchCore: unsupervised learning-based detection of visual anomalies in the railway-turnout environment. Appl. Intell. 55(6): 408 (2025) - [j14]Shijie Zhou, Chunyu Lin, Zisong Chen, Baoqing Guo, Yao Zhao:
AdapSyn: Anomaly detection based on triplet training with adaptive anomaly synthesis. Displays 86: 102885 (2025) - [j13]Tao Sun, Baoqing Guo, Tao Ruan, Xingfang Zhou, Dingyuan Bai, Hang Yu, Yu Wang:
RailFDNet: A hybrid supervision and feature discrepancy enhancement model for railway anomalous object detection. Expert Syst. Appl. 275: 127005 (2025) - [j12]Lirong Lian, Yong Qin, Zhiwei Cao, Yang Gao, Jie Bai, Xuanyu Ge, Baoqing Guo:
A Continuous Autonomous Train Positioning Method Using Stereo Vision and Object Tracking. IEEE Intell. Transp. Syst. Mag. 17(2): 6-22 (2025) - [j11]Jialin Gao, Liqiang Zhu, Baoqing Guo, Yao Wang:
Multi-scale feature enhanced detection of foreign object intrusions on railways. J. Supercomput. 81(6): 779 (2025) - 2024
- [j10]Yue Hou, Lang Nie, Chunyu Lin, Baoqing Guo, Yao Zhao:
Digging into depth-adaptive structure for guided depth super-resolution. Displays 84: 102752 (2024) - [j9]Tao Sun, Baoqing Guo, Tao Ruan, Xingfang Zhou, Dingyuan Bai:
RailEINet:A novel scene segmentation network for automatic train operation based on feature alignment. Eng. Appl. Artif. Intell. 138: 109295 (2024) - [j8]Ruihan Fan, Lei Tong, Jun Zhou, Baoqing Guo, Chuangbai Xiao:
Prototypical Network With Residual Capsule for Few-Shot Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j7]Wei Wei, Lei Tong, Baoqing Guo, Jun Zhou, Chuangbai Xiao:
Few-Shot Hyperspectral Image Classification Using Relational Generative Adversarial Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [c1]Ziwen Fan, Guangzhi Cheng, Tao Sun, Hang Yu, Baoqing Guo:
A Method for Railway Intrusion Objects Detection with LiDAR and Image Fusion. CSAI 2024: 39-44 - 2023
- [j6]Tao Ruan, Shikui Wei, Yao Zhao, Baoqing Guo, Zujun Yu:
ℒ풪2net: Global-Local Semantics Coupled Network for scene-specific video foreground extraction with less supervision. Pattern Anal. Appl. 26(4): 1671-1683 (2023) - 2022
- [j5]Runliang Tian, Hongmei Shi, Baoqing Guo, Liqiang Zhu:
Multi-scale object detection for high-speed railway clearance intrusion. Appl. Intell. 52(4): 3511-3526 (2022) - 2020
- [j4]Xingxin Li, Liqiang Zhu, Zujun Yu, Baoqing Guo, Yanqin Wan:
Vanishing Point Detection and Rail Segmentation Based on Deep Multi-Task Learning. IEEE Access 8: 163015-163025 (2020)
2010 – 2019
- 2019
- [j3]Wei Wang, Liqiang Zhu, Baoqing Guo:
Reliable identification of redundant kernels for convolutional neural network compression. J. Vis. Commun. Image Represent. 63 (2019) - [j2]Yang Wang, Liqiang Zhu, Zujun Yu, Baoqing Guo:
An Adaptive Track Segmentation Algorithm for a Railway Intrusion Detection System. Sensors 19(11): 2594 (2019) - [j1]Baoqing Guo, Gan Geng, Liqiang Zhu, Hongmei Shi, Zujun Yu:
High-Speed Railway Intruding Object Image Generating with Generative Adversarial Networks. Sensors 19(14): 3075 (2019)
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