Baoqing Guo

According to our database, Baoqing Guo authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Both Objects and Relationships Matter: Cross Coupled Transformer for Railway Scene Perception.

Dingyuan Bai, Baoqing Guo, Tao Ruan, Xingfang Zhou, Tao Sun, Hongwei Wang, Zhipeng Wang

IEEE Trans. Intell. Transp. Syst., July, 2025

Multi-scale feature enhanced detection of foreign object intrusions on railways.

Jialin Gao, Liqiang Zhu, Baoqing Guo, Yao Wang

J. Supercomput., April, 2025

Rail-PatchCore: unsupervised learning-based detection of visual anomalies in the railway-turnout environment.

YuanHao Zhang, Zujun Yu, Liqiang Zhu, Baoqing Guo, Yao Wang

Appl. Intell., April, 2025

F2RAIL: panoptic segmentation integrating Fpn and transFormer towards RAILway.

Dingyuan Bai, Baoqing Guo, Tao Ruan, Xingfang Zhou, Tao Sun, Wang Yu, Liu Tao

Appl. Intell., February, 2025

A Continuous Autonomous Train Positioning Method Using Stereo Vision and Object Tracking.

Lirong Lian, Yong Qin, Zhiwei Cao, Yang Gao, Jie Bai, Xuanyu Ge, Baoqing Guo

IEEE Intell. Transp. Syst. Mag., 2025

RailFDNet: A hybrid supervision and feature discrepancy enhancement model for railway anomalous object detection.

Tao Sun, Baoqing Guo, Tao Ruan, Xingfang Zhou, Dingyuan Bai, Hang Yu, Yu Wang

Expert Syst. Appl., 2025

AdapSyn: Anomaly detection based on triplet training with adaptive anomaly synthesis.

Shijie Zhou, Chunyu Lin, Zisong Chen, Baoqing Guo, Yao Zhao

Displays, 2025

2024

Few-Shot Hyperspectral Image Classification Using Relational Generative Adversarial Network.

Wei Wei, Lei Tong, Baoqing Guo, Jun Zhou, Chuangbai Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Prototypical Network With Residual Capsule for Few-Shot Hyperspectral Image Classification.

Ruihan Fan, Lei Tong, Jun Zhou, Baoqing Guo, Chuangbai Xiao

IEEE Geosci. Remote. Sens. Lett., 2024

RailEINet:A novel scene segmentation network for automatic train operation based on feature alignment.

Tao Sun, Baoqing Guo, Tao Ruan, Xingfang Zhou, Dingyuan Bai

Eng. Appl. Artif. Intell., 2024

Digging into depth-adaptive structure for guided depth super-resolution.

Yue Hou, Lang Nie, Chunyu Lin, Baoqing Guo, Yao Zhao

Displays, 2024

A Method for Railway Intrusion Objects Detection with LiDAR and Image Fusion.

Ziwen Fan, Guangzhi Cheng, Tao Sun, Hang Yu, Baoqing Guo

Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence, 2024

2023

ℒ풪²net: Global-Local Semantics Coupled Network for scene-specific video foreground extraction with less supervision.

Tao Ruan, Shikui Wei, Yao Zhao, Baoqing Guo, Zujun Yu

Pattern Anal. Appl., November, 2023

2022

Multi-scale object detection for high-speed railway clearance intrusion.

Runliang Tian, Hongmei Shi, Baoqing Guo, Liqiang Zhu

Appl. Intell., 2022

2020

Vanishing Point Detection and Rail Segmentation Based on Deep Multi-Task Learning.

Xingxin Li, Liqiang Zhu, Zujun Yu, Baoqing Guo, Yanqin Wan

IEEE Access, 2020

2019

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

Yang Wang, Liqiang Zhu, Zujun Yu, Baoqing Guo

Sensors, 2019

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

Baoqing Guo, Gan Geng, Liqiang Zhu, Hongmei Shi, Zujun Yu

Sensors, 2019

Reliable identification of redundant kernels for convolutional neural network compression.

Wei Wang, Liqiang Zhu, Baoqing Guo

J. Vis. Commun. Image Represent., 2019