Yu Guo

According to our database, Yu Guo authored at least 48 papers between 2020 and 2025.

Collaborative distances:

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

2025

Instruct2See: Learning to Remove Any Obstructions Across Distributions.

Junhang Li, Yu Guo, Chuhua Xian, Shengfeng He

CoRR, May, 2025

Expanding Zero-Shot Object Counting with Rich Prompts.

Huilin Zhu, Senyao Li, Jingling Yuan, Zhengwei Yang, Yu Guo, Wenxuan Liu, Xian Zhong, Shengfeng He

CoRR, May, 2025

Quaternion Nuclear Norms Over Frobenius Norms Minimization for Robust Matrix Completion.

Yu Guo, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng

CoRR, April, 2025

FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting.

Huilin Zhu, Jingling Yuan, Zhengwei Yang, Yu Guo, Xian Zhong, Shengfeng He

CoRR, February, 2025

Sparse Aerial Ground Height Recovery Using Normalized Weighted Nonlocal Laplacian.

Yu Guo, Caiying Wu, Xi-Le Zhao, Qiyu Jin, Guoqing Chen, Michael Kwok-Po Ng

IEEE Trans. Instrum. Meas., 2025

Quaternion Nuclear Norm Minus Frobenius Norm Minimization for color image reconstruction.

Yu Guo, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng

Pattern Recognit., 2025

Towards a physical imaging-driven sparse attention dehazer for Internet of Things-aided Maritime Intelligent Transportation.

Yuxuan Tian, Yu Guo, Yuxu Lu, Yuan Gao, Ryan Wen Liu

Comput. Electr. Eng., 2025

2024

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

Ryan Wen Liu, Yuxu Lu, Yuan Gao, Yu Guo, Wenqi Ren, Fenghua Zhu, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., December, 2024

The Optimal Weights of Non-local Means for Variance Stabilized Noise Removal.

Yu Guo, Caiying Wu, Yuan Zhao, Tao Wang, Guoqing Chen, Qiyu Jin, Yiqiu Dong

J. Sci. Comput., November, 2024

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

IEEE Trans. Intell. Transp. Syst., August, 2024

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

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.

Ryan Wen Liu, Yuxu Lu, Yu Guo, Wenqi Ren, Fenghua Zhu, Yisheng Lv

IEEE Trans. Intell. Veh., February, 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

MvKSR: Multi-View Knowledge-Guided Scene Recovery for Hazy and Rainy Degradation.

Wenyu Xu, Dong Yang, Yuan Gao, Yuxu Lu, Jingming Zhang, Yu Guo

IEEE Trans. Instrum. Meas., 2024

Deep Inertia $L_{p}$ Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction.

Yu Guo, Caiying Wu, Yaxin Li, Qiyu Jin, Tieyong Zeng

IEEE Signal Process. Lett., 2024

Kernel correlation-dissimilarity for Multiple Kernel k-Means clustering.

Rina Su, Yu Guo, Caiying Wu, Qiyu Jin, Tieyong Zeng

Pattern Recognit., 2024

AoSRNet: All-in-One Scene Recovery Networks via multi-knowledge integration.

Yuxu Lu, Dong Yang, Yuan Gao, Ryan Wen Liu, Jun Liu, Yu Guo

Knowl. Based Syst., 2024

A region of interest focused Triple UNet architecture for skin lesion segmentation.

Guoqing Liu, Yu Guo, Qiyu Jin, Guoqing Chen, Barintag Saheya, Caiying Wu

Int. J. Imaging Syst. Technol., 2024

How to Best Combine Demosaicing and Denoising?

Yu Guo, Qiyu Jin, Jean-Michel Morel, Gabriele Facciolo

CoRR, 2024

Deep Inertia L_p Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction.

Yu Guo, Caiying Wu, Yaxin Li, Qiyu Jin, Tieyong Zeng

CoRR, 2024

S3Net: Semi-self-supervised neural network for visibility enhancement of speckled images.

Ryan Wen Liu, Yu Guo, Yuxu Lu, Xi-Le Zhao, An-An Liu

Comput. Electr. Eng., 2024

Zero-Shot Object Counting with Good Exemplars.

Huilin Zhu, Jingling Yuan, Zhengwei Yang, Yu Guo, Zheng Wang, Xian Zhong, Shengfeng He

Proceedings of the Computer Vision - ECCV 2024, 2024

OneRestore: A Universal Restoration Framework for Composite Degradation.

Yu Guo, Yuan Gao, Yuxu Lu, Huilin Zhu, Ryan Wen Liu, Shengfeng He

Proceedings of the Computer Vision - ECCV 2024, 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

Joint demosaicking and denoising benefits from a two-stage training strategy.

Yu Guo, Qiyu Jin, Jean-Michel Morel, Tieyong Zeng, Gabriele Facciolo

J. Comput. Appl. Math., 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

Radiomics and Its Feature Selection: A Review.

Wenchao Zhang, Yu Guo, Qiyu Jin

Symmetry, October, 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

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model.

Taofeng Xie, Chentao Cao, Zhuoxu Cui, Yu Guo, Caiying Wu, Xuemei Wang, Qingneng Li, Zhanli Hu, Tao Sun, Ziru Sang, Yihang Zhou, Yanjie Zhu, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng 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

Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising.

Jing Guo, Yu Guo, Qiyu Jin, Michael Kwok-Po Ng, Shuping Wang

SIAM J. Imaging Sci., 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

Fast, Nonlocal and Neural: A Lightweight High Quality Solution to Image Denoising.

Yu Guo, Axel Davy, Gabriele Facciolo, Jean-Michel Morel, Qiyu Jin

IEEE Signal Process. Lett., 2021

A Mathematical Analysis and Implementation of Residual Interpolation Demosaicking Algorithms.

Qiyu Jin, Yu Guo, Jean-Michel Morel, Gabriele Facciolo

Image Process. Line, 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

Residual Learning for Effective joint Demosaicing-Denoising.

Yu Guo, Qiyu Jin, Gabriele Facciolo, Tieyong Zeng, Jean-Michel Morel

CoRR, 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