Yu Guo

Orcid: 0000-0002-0642-7684

Affiliations:
  • Wuhan University of Technology, China


According to our database1, Yu Guo authored at least 28 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance.
IEEE Trans. Intell. Transp. Syst., August, 2024

Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance.
IEEE Trans. Intell. Transp. Syst., May, 2024

AiOENet: All-in-One Low-Visibility Enhancement to Improve Visual Perception for Intelligent Marine Vehicles Under Severe Weather Conditions.
IEEE Trans. Intell. Veh., February, 2024

Blind Image Despeckling Using a Multiscale Attention-Guided Neural Network.
IEEE Trans. Artif. Intell., January, 2024

MvKSR: Multi-View Knowledge-Guided Scene Recovery for Hazy and Rainy Degradation.
IEEE Trans. Instrum. Meas., 2024

AoSRNet: All-in-One Scene Recovery Networks via multi-knowledge integration.
Knowl. Based Syst., 2024

Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions.
CoRR, 2024

OneRestore: A Universal Restoration Framework for Composite Degradation.
CoRR, 2024

S3Net: Semi-self-supervised neural network for visibility enhancement of speckled images.
Comput. Electr. Eng., 2024

Zero-Shot Object Counting with Good Exemplars.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation.
IEEE Trans. Veh. Technol., December, 2023

Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways.
IEEE Trans. Intell. Transp. Syst., November, 2023

MDSFE: Multiscale Deep Stacking Fusion Enhancer Network for Visual Data Enhancement.
IEEE Trans. Instrum. Meas., 2023

GradDT: Gradient-Guided Despeckling Transformer for Industrial Imaging Sensors.
IEEE Trans. Ind. Informatics, 2023

Deep Network-Enabled Haze Visibility Enhancement for Visual IoT-Driven Intelligent Transportation Systems.
IEEE Trans. Ind. Informatics, 2023

DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation.
CoRR, 2023

SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things.
IEEE Trans. Green Commun. Netw., 2022

MTRBNet: Multi-Branch Topology Residual Block-Based Network for Low-Light Enhancement.
IEEE Signal Process. Lett., 2022

Intelligent Maritime Surveillance Framework Driven by Fusion of Camera-Based Vessel Detection and AIS Data.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Fast Deep Multi-patch Progressive Network for Low-light Image Enhancement in Intelligent Transportation Systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Rep-Enhancer: Re-parameterizing Neural Network for Real-time Low-light Enhancement in Visual Maritime Surveillance.
Proceedings of the 20th IEEE International Conference on Embedded and Ubiquitous Computing, 2022

2021
Towards Low-Visibility Enhancement in Maritime Video Surveillance: An Efficient and Effective Multi-Deep Neural Network.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Heterogeneous Twin Dehazing Network for Visibility Enhancement in Maritime Video Surveillance.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression.
CoRR, 2020

Low-Light Image Enhancement With Regularized Illumination Optimization and Deep Noise Suppression.
IEEE Access, 2020

Low-light Image Enhancement with Deep Blind Denoising.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020


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