Yu Guo

According to our database, Yu Guo authored at least 21 papers between 2020 and 2024.

Collaborative distances:

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

2024

Blind Image Despeckling Using a Multiscale Attention-Guided Neural Network.

Yu Guo, Yuxu Lu, Ryan Wen Liu, Fenghua Zhu

IEEE Trans. Artif. Intell., January, 2024

2023

Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation.

Yu Guo, Ryan Wen Liu, Yuxu Lu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato

IEEE Trans. Veh. Technol., December, 2023

Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways.

Yu Guo, Ryan Wen Liu, Jingxiang Qu, Yuxu Lu, Fenghua Zhu, Yisheng Lv

IEEE Trans. Intell. Transp. Syst., November, 2023

MDSFE: Multiscale Deep Stacking Fusion Enhancer Network for Visual Data Enhancement.

Yu Guo, Yuxu Lu, Jingxiang Qu, Ryan Wen Liu, Wenqi Ren

IEEE Trans. Instrum. Meas., 2023

GradDT: Gradient-Guided Despeckling Transformer for Industrial Imaging Sensors.

Yuxu Lu, Yu Guo, Ryan Wen Liu, Kwok Tai Chui, Brij B. Gupta

IEEE Trans. Ind. Informatics, 2023

Deep Network-Enabled Haze Visibility Enhancement for Visual IoT-Driven Intelligent Transportation Systems.

Ryan Wen Liu, Yu Guo, Yuxu Lu, Kwok Tai Chui, Brij B. Gupta

IEEE Trans. Ind. Informatics, 2023

Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance.

Jingxiang Qu, Ryan Wen Liu, Chenjie Zhao, Yu Guo, Sendren Sheng-Dong Xu, Fenghua Zhu, Yisheng Lv

CoRR, 2023

Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance.

Jingxiang Qu, Ryan Wen Liu, Yuan Gao, Yu Guo, Fenghua Zhu, Fei-Yue Wang

CoRR, 2023

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

Yu Guo, Ryan Wen Liu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato

CoRR, 2023

SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing.

Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report.

Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch

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.

Ryan Wen Liu, Yu Guo, Jiangtian Nie, Qin Hu, Zehui Xiong, Han Yu, Mohsen Guizani

IEEE Trans. Green Commun. Netw., 2022

MTRBNet: Multi-Branch Topology Residual Block-Based Network for Low-Light Enhancement.

Yuxu Lu, Yu Guo, Ryan Wen Liu, Wenqi Ren

IEEE Signal Process. Lett., 2022

Intelligent Maritime Surveillance Framework Driven by Fusion of Camera-Based Vessel Detection and AIS Data.

Jingxiang Qu, Yu Guo, Yuxu Lu, Fenghua Zhu, Yingchun Huan, Ryan Wen Liu

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.

Yuxu Lu, Yu Guo, Yanhong Huang, Fenghua Zhu, Xianjun Hu, Ryan Wen Liu

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.

Xijing Li, Yuxu Lu, Yu Guo, Jingxiang Qu, Ryan Wen Liu

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.

Yuxu Lu, Yu Guo, Fenghua Zhu, Ryan Wen Liu

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

Heterogeneous Twin Dehazing Network for Visibility Enhancement in Maritime Video Surveillance.

Yu Guo, Yuxu Lu, Ryan Wen Liu, Lizheng Wang, Fenghua Zhu

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.

Yu Guo, Yuxu Lu, Ryan Wen Liu, Meifang Yang, Kwok Tai Chui

CoRR, 2020

Low-Light Image Enhancement With Regularized Illumination Optimization and Deep Noise Suppression.

Yu Guo, Yuxu Lu, Ryan Wen Liu, Meifang Yang, Kwok Tai Chui

IEEE Access, 2020

Low-light Image Enhancement with Deep Blind Denoising.

Yu Guo, Yuxu Lu, Meifang Yang, Ryan Wen Liu

Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020