Meihua Wang - IEEE Xplore Author Profile
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Meihua Wang

Publications
4
Citations
27
Publications by Year
20172024
Co-Authors:
Show All Co-Authors (14)
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Meihua Wang

Affiliation

College of Mathematics and Informatics
South China Agricultural University
Guangzhou, Guangdong, China

Publication Topics

Biography

Meihua Wang received the M.S. degree from South China University of Technology, Guangzhou, China, in 1999. She is currently an Associate Professor with the Department of Computer Science and Engineering, South China Agricultural University, Guangzhou. Her research interests include deep learning, computer vision, and intelligent transportation systems.(Based on document published on 31 May 2024).
Publications
4
Citations
27
Publications by Year
20172024
Co-Authors:
Show All Co-Authors (14)
Author's Published Works

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OUR-Net: A Multi-Frequency Network With Octave Max Unpooling and Octave Convolution Residual Block for Pavement Crack Segmentation

Pengtao Li;Meihua Wang;Zhun Fan;Han Huang;Guijie Zhu;Jiafan Zhuang

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 10 | Journal Article |
Cited by: Papers (4)
Cracks are among the most common, most likely, and earliest of all pavement distresses. Detecting and repairing cracks as early as possible can help extend the service life of pavements. However, Detecting cracks with precision can be challenging due to their varied structural characteristics and complex background interference. In this paper, a new convolutional neural network architecture, OUR-N...Show More

OUR-Net: A Multi-Frequency Network With Octave Max Unpooling and Octave Convolution Residual Block for Pavement Crack Segmentation

Pengtao Li;Meihua Wang;Zhun Fan;Han Huang;Guijie Zhu;Jiafan Zhuang

Year: 2024 | Volume: 25, Issue: 10 | Journal Article |

Underwater Image Enhancement Network Based on Swin-Convs Transformer with Guidance Embedding

Meihua Wang;De Huang;Ruichu Cai

2023 China Automation Congress (CAC)
Year: 2023 | Conference Paper |
Underwater image enhancement (UIE) approaches struggle with the problem of dataset collection and attempt to restore underwater photos that have been damaged by light absorption and dispersion. In the paper, we propose to combine depth and more a priori informations to generate different kinds of high quality datasets, and then propose an underwater enhancement algorithm that improves the Transfor...Show More

Underwater Image Enhancement Network Based on Swin-Convs Transformer with Guidance Embedding

Meihua Wang;De Huang;Ruichu Cai

Year: 2023 | Conference Paper |

Fast Plant Leaf Recognition Using Improved Multiscale Triangle Representation and KNN for Optimization

Jianyu Su;Meihua Wang;Zhenxin Wu;Qingliang Chen

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (19)
Due to the complexity and similarity of plant leaves, it is very important to study an effective leaf-feature extraction method to improve the recognition rate of plant leaves. We study five multi-scale triangle representations: the triangle unsigned area representation (TUA), the triangle vertex angle representation (TVA) and three new representations, which we define as the gray average (TGA), t...Show More

Fast Plant Leaf Recognition Using Improved Multiscale Triangle Representation and KNN for Optimization

Jianyu Su;Meihua Wang;Zhenxin Wu;Qingliang Chen

Year: 2020 | Volume: 8 | Journal Article |

Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing

Meihua Wang;Jiaming Mai;Yun Liang;Ruichu Cai;Tom Zhengjia;Zhenjie Zhang

2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
Year: 2017 | Conference Paper |
Cited by: Papers (4)
Traditional dehazing techniques, as a well-studied topic in image processing, are now widely used to eliminate the haze effects from individual images. However, even the state-of-the-art dehazing algorithms may not provide sufficient support to video analytics, as a crucial pre-processing step for video-based decision making systems (e.g., robot navigation), due to the limitations of these algorit...Show More

Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing

Meihua Wang;Jiaming Mai;Yun Liang;Ruichu Cai;Tom Zhengjia;Zhenjie Zhang

Year: 2017 | Volume: 1 | Conference Paper |

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