Baoqing Guo

24 papers Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CogRail: Benchmarking VLMs in Cognitive Intrusion Perception for Intelligent Railway Transportation Systems.
CoRR
Yonglin Tian, Qiyao Zhang, Wei Xu, Yutong Wang, Yihao Wu, Xinyi Li, Xingyuan Dai, Hui Zhang, Zhiyong Cui, Baoqing Guo, Zujun Yu, Yisheng Lv
2026 J jnl
Enhancing object detection in complex lighting conditions via illumination-guided feature fusion.
Clust. Comput.
Lizhi Xu, Liqiang Zhu, Jingyu Hu, Baoqing Guo
2026 J jnl
Explicit Offset Learning for Joint Pedestrian Detection and Localization in Weakly Aligned Multispectral Images.
IEEE Robotics Autom. Lett.
Xingfang Zhou, Zujun Yu, Tao Ruan, Baoqing Guo, Dingyuan Bai, Tao Sun
2026 J jnl
MambaOcc: Visual state space models for BEV-based occupancy prediction with local adaptive reordering.
Expert Syst. Appl.
Yonglin Tian, Songlin Bai, Zhiyao Luo, Yutong Wang, Hui Zhang, Baoqing Guo, Yisheng Lv, Fei-Yue Wang
2026 J jnl
ROSD: Railway intrusion object generalized detection via Open-Set Detection.
Adv. Eng. Informatics
Dingyuan Bai, Baoqing Guo, Zujun Yu, Tao Ruan, Xingfang Zhou, Tao Sun
2026 J jnl
Tunnel Crack Detection and Evaluation Based on Improved Holistically Nested Edge Detection Network.
J. Comput. Civ. Eng.
Yaodong Wang, Chenhao Guo, Zhen Liu, Liqiang Zhu, Baoqing Guo, Weizhen Zhou
2025 J jnl
A Continuous Autonomous Train Positioning Method Using Stereo Vision and Object Tracking.
IEEE Intell. Transp. Syst. Mag.
Lirong Lian, Yong Qin, Zhiwei Cao, Yang Gao, Jie Bai, Xuanyu Ge, Baoqing Guo
2025 J jnl
AdapSyn: Anomaly detection based on triplet training with adaptive anomaly synthesis.
Displays
Shijie Zhou, Chunyu Lin, Zisong Chen, Baoqing Guo, Yao Zhao
2025 J jnl
Both Objects and Relationships Matter: Cross Coupled Transformer for Railway Scene Perception.
IEEE Trans. Intell. Transp. Syst.
Dingyuan Bai, Baoqing Guo, Tao Ruan, Xingfang Zhou, Tao Sun, Hongwei Wang, Zhipeng Wang
2025 J jnl
F2RAIL: panoptic segmentation integrating Fpn and transFormer towards RAILway.
Appl. Intell.
Dingyuan Bai, Baoqing Guo, Tao Ruan, Xingfang Zhou, Tao Sun, Wang Yu, Liu Tao
2025 J jnl
Multi-scale feature enhanced detection of foreign object intrusions on railways.
J. Supercomput.
Jialin Gao, Liqiang Zhu, Baoqing Guo, Yao Wang
2025 J jnl
Rail-PatchCore: unsupervised learning-based detection of visual anomalies in the railway-turnout environment.
Appl. Intell.
Yuanhao Zhang, Zujun Yu, Liqiang Zhu, Baoqing Guo, Yao Wang
2025 J jnl
RailFDNet: A hybrid supervision and feature discrepancy enhancement model for railway anomalous object detection.
Expert Syst. Appl.
Tao Sun, Baoqing Guo, Tao Ruan, Xingfang Zhou, Dingyuan Bai, Hang Yu, Yu Wang
2024 — conf
A Method for Railway Intrusion Objects Detection with LiDAR and Image Fusion.
CSAI
Ziwen Fan, Guangzhi Cheng, Tao Sun, Hang Yu, Baoqing Guo
2024 J jnl
Digging into depth-adaptive structure for guided depth super-resolution.
Displays
Yue Hou, Lang Nie, Chunyu Lin, Baoqing Guo, Yao Zhao
2024 J jnl
Few-Shot Hyperspectral Image Classification Using Relational Generative Adversarial Network.
IEEE Trans. Geosci. Remote. Sens.
Wei Wei, Lei Tong, Baoqing Guo, Jun Zhou, Chuangbai Xiao
2024 J jnl
Prototypical Network With Residual Capsule for Few-Shot Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Ruihan Fan, Lei Tong, Jun Zhou, Baoqing Guo, Chuangbai Xiao
2024 J jnl
RailEINet:A novel scene segmentation network for automatic train operation based on feature alignment.
Eng. Appl. Artif. Intell.
Tao Sun, Baoqing Guo, Tao Ruan, Xingfang Zhou, Dingyuan Bai
2023 J jnl
ℒ풪
Pattern Anal. Appl.
Tao Ruan, Shikui Wei, Yao Zhao, Baoqing Guo, Zujun Yu
2022 J jnl
Multi-scale object detection for high-speed railway clearance intrusion.
Appl. Intell.
Runliang Tian, Hongmei Shi, Baoqing Guo, Liqiang Zhu
2020 J jnl
Vanishing Point Detection and Rail Segmentation Based on Deep Multi-Task Learning.
IEEE Access
Xingxin Li, Liqiang Zhu, Zujun Yu, Baoqing Guo, Yanqin Wan
2019 J jnl
An Adaptive Track Segmentation Algorithm for a Railway Intrusion Detection System.
Sensors
Yang Wang, Liqiang Zhu, Zujun Yu, Baoqing Guo
2019 J jnl
High-Speed Railway Intruding Object Image Generating with Generative Adversarial Networks.
Sensors
Baoqing Guo, Gan Geng, Liqiang Zhu, Hongmei Shi, Zujun Yu
2019 J jnl
Reliable identification of redundant kernels for convolutional neural network compression.
J. Vis. Commun. Image Represent.
Wei Wang, Liqiang Zhu, Baoqing Guo