Yuhao Wang - IEEE Xplore Author Profile

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Author details

Yuhao Wang

Publications

5

Citations

8

Publications by Year

20232025

Co-Authors:

Yang LiuXuehu LiuHuchuan LuGang MengJiayun Song

Show All Co-Authors (10)

Yuhao Wang

Affiliation

School of Future Technology and the School of Artificial Intelligence

Dalian University of Technology

Dalian, China

Publication Topics

Active Learning,
Bounding Box,
Data Augmentation,
Intersection Over Union,
Long-tailed Distribution,
Object Detection,
Remote Sensing,
Remote Sensing Images,
Representation Learning,
Semi-supervised Learning,
Semi-supervised Object Detection,
Student Network

Biography

Yuhao Wang (Student Member, IEEE) received the B.S. degree in aerocraft control and information engineering in 2022 from Beihang University, Beijing, China, where he is currently working toward the master's degree in electronic information engineering.,His main research interests include remote sensing image processing, semisupervised learning, and object detection.(Based on document published on 8 March 2024).

Publications

5

Citations

8

Publications by Year

20232025

Co-Authors:

Yang Liu
Xuehu Liu
Huchuan Lu
Gang Meng
Jiayun Song

Show All Co-Authors (10)

Author's Published Works

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Showing 1-5 of 5 results

Conferences (3)

Journals (2)

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Yuhao Wang(5)
Xinye Zhang(3)
Jiayun Song(3)
Lifan Yao(3)
Haopeng Zhang(3)
Qingdao Research Institute of Beihang University, Shandong, China(2)
Beijing Institute of Remote Sensing Information, Beijing, China(2)
Tianmushan Laboratory, Hangzhou, China(2)
Department of Aerospace Information Engineering, School of Astronautics, Beihang University, Beijing, China(1)
School of Future Technology, School of Artificial Intelligence, Dalian University of Technology, China(1)
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(1)
2024 International Joint Conference on Neural Networks (IJCNN)(1)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(1)
IEEE Transactions on Intelligent Transportation Systems(1)
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium(1)
IEEE(5)
Pasadena, CA, USA(1)
Seattle, WA, USA(1)
Yokohama, Japan(1)
Active Learning(3)
Bounding Box(3)
Data Augmentation(3)
Intersection Over Union(3)
Long-tailed Distribution(3)

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Results

Unity Is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification

Yuhao Wang;Pingping Zhang;Xuehu Liu;Zhengzheng Tu;Huchuan Lu

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

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Person Re-identification (ReID) aims to retrieve the specific person across non-overlapping cameras, which greatly helps intelligent transportation systems. As we all know, Convolutional Neural Networks (CNNs) and Transformers have the unique strengths to extract local and global features, respectively. Considering this fact, we focus on the mutual fusion between them to learn more comprehensive r...Show More

Unity Is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification

Yuhao Wang;Pingping Zhang;Xuehu Liu;Zhengzheng Tu;Huchuan Lu

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification

Pingping Zhang;Yuhao Wang;Yang Liu;Zhengzheng Tu;Huchuan Lu

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Year: 2024 | Conference Paper |

Cited by: Papers (4)

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Single-modal object re-identification (ReID) faces great challenges in maintaining robustness within complex visual scenarios. In contrast, multi-modal object ReID utilizes complementary information from diverse modalities, showing great potentials for practical applications. How-ever, previous methods may be easily affected by irrele-vant backgrounds and usually ignore the modality gaps. To addre...Show More

Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification

Pingping Zhang;Yuhao Wang;Yang Liu;Zhengzheng Tu;Huchuan Lu

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Year: 2024 | Conference Paper |

Mining Oriented Information for Semi-Supervised Object Detection in Remote Sensing Images

Yuhao Wang;Lifan Yao;Xinye Zhang;Jiayun Song;Haopeng Zhang

2024 International Joint Conference on Neural Networks (IJCNN)

Year: 2024 | Conference Paper |

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Traditional object detection requires extensive annotation, consuming considerable time and manpower. In recent years, semi-supervised object detection (SSOD) methods, which utilize a blend of unlabeled and labeled data to train object detectors, have been extensively researched. SSOD has made significant progress and can achieve similar levels of accuracy as the fully supervised methods. However,...Show More

Mining Oriented Information for Semi-Supervised Object Detection in Remote Sensing Images

Yuhao Wang;Lifan Yao;Xinye Zhang;Jiayun Song;Haopeng Zhang

2024 International Joint Conference on Neural Networks (IJCNN)

Year: 2024 | Conference Paper |

Addressing Sample Inconsistency for Semisupervised Object Detection in Remote Sensing Images

Yuhao Wang;Lifan Yao;Gang Meng;Xinye Zhang;Jiayun Song;Haopeng Zhang

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Year: 2024 | Volume: 17 | Journal Article |

Cited by: Papers (1)

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The emergence of semisupervised object detection (SSOD) techniques has greatly enhanced object detection performance. SSOD leverages a limited amount of labeled data along with a large quantity of unlabeled data. However, there exists a problem of sample inconsistency in remote sensing images, which manifests in two ways. First, remote sensing images are diverse and complex. Conventional random in...Show More

Addressing Sample Inconsistency for Semisupervised Object Detection in Remote Sensing Images

Yuhao Wang;Lifan Yao;Gang Meng;Xinye Zhang;Jiayun Song;Haopeng Zhang

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Year: 2024 | Volume: 17 | Journal Article |

Semi-Supervised Object Detection in Remote Sensing Images Based on Active Learning

Yuhao Wang;Lifan Yao;Gang Meng;Xinye Zhang;Jiayun Song;Haopeng Zhang

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Year: 2023 | Conference Paper |

Cited by: Papers (3)

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The emergence of Semi-Supervised Object Detection (SSOD) techniques has led to notable improvements in object detection capabilities by leveraging a restricted quantity of labeled data and a copious amount of unlabeled data. However, there are two challenging issues that need to be addressed in remote sensing images. Firstly, the complex background and large variation in target scales in remote se...Show More

Semi-Supervised Object Detection in Remote Sensing Images Based on Active Learning

Yuhao Wang;Lifan Yao;Gang Meng;Xinye Zhang;Jiayun Song;Haopeng Zhang

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Year: 2023 | Conference Paper |

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