Wenbo Liu

Orcid: 0000-0001-5058-8672

Affiliations:

Southwest Jiaotong University, Chengdu, China

According to our database¹, Wenbo Liu authored at least 15 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

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Bibliography

2025

Improving vehicle detection accuracy in complex traffic scenes through context attention and multi-scale feature fusion module.

[BibT_eX]

[DOI]

Appl. Intell., April, 2025

SalM<sup>2</sup>: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention.

[BibT_eX]

[DOI]

CoRR, February, 2025

A new pipeline with ultimate search efficiency for neural architecture search.

[BibT_eX]

[DOI]

Neural Networks, 2025

VP-YOLO: A human visual perception-inspired robust vehicle-pedestrian detection model for complex traffic scenarios.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

Continuous-Discrete Alignment Optimization for efficient differentiable neural architecture search.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

DARTS-CGW: Research on Differentiable Neural Architecture Search Algorithm Based on Coarse Gradient Weighting.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

PHANet: Progressive Hybrid Attention Network for Enhanced Video Deraining.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

2022

Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

A Robust Vehicle Detection Model Based on Attention and Multi-scale Feature Fusion.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

2021

A Robust Lane Detection Model Using Vertical Spatial Features and Contextual Driving Information.

[BibT_eX]

[DOI]

Sensors, 2021

A Robust Lane Detection Model via Vertical Spatial Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

DRSTNet: A Robust Spatio-temporal Network with Dilated Residual Convolutions for Lane Detection.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Vision, Image and Signal Processing, 2021

2020

Lane detection in complex scenes based on end-to-end neural network.

[BibT_eX]

[DOI]

CoRR, 2020

Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs.

[BibT_eX]

[DOI]

CoRR, 2020

Wenbo Liu

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