Huiyuan Wei - IEEE Xplore Author Profile
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Huiyuan Wei

Publications
6
Citations
71
Publications by Year
20222023
Co-Authors:
Show All Co-Authors (38)
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Huiyuan Wei

Affiliation

Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China
School of Artificial Intelligence
Xidian University, Xi’an, China

Publication Topics

Biography

Huiyuan Wei received the B.S. degree from Xidian University, Xian, China, in 2020, where she is pursuing the M.S. degree with the Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China.,Her research interests include deep learning, image matching, and image registration.(Based on document published on 9 May 2022).
Publications
6
Citations
71
Publications by Year
20222023
Co-Authors:
Show All Co-Authors (38)
Author's Published Works

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A Novel Coarse-to-Fine Deep Learning Registration Framework for Multimodal Remote Sensing Images

Dou Quan;Huiyuan Wei;Shuang Wang;Yu Gu;Biao Hou;Licheng Jiao

IEEE Transactions on Geoscience and Remote Sensing
Year: 2023 | Volume: 61 | Journal Article |
Cited by: Papers (11)
Multimodal remote sensing images with large rotation transformation (RT) are challenging to be registered. It needs to deal with the global geometric deformation caused by great RT and significant local appearance differences caused by different imaging mechanisms. Existing deep learning methods mainly use a single deep descriptor learning (DDL) network to extract invariant features for identifyin...Show More

A Novel Coarse-to-Fine Deep Learning Registration Framework for Multimodal Remote Sensing Images

Dou Quan;Huiyuan Wei;Shuang Wang;Yu Gu;Biao Hou;Licheng Jiao

Year: 2023 | Volume: 61 | Journal Article |

Efficient and Robust: A Cross-Modal Registration Deep Wavelet Learning Method for Remote Sensing Images

Dou Quan;Huiyuan Wei;Shuang Wang;Yi Li;Jocelyn Chanussot;Yanhe Guo;Biao Hou;Licheng Jiao

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2023 | Volume: 16 | Journal Article |
Cited by: Papers (7)
Deep convolutional networks are powerful for local feature learning and have shown advantages in image matching and registration. However, the significant differences between cross-modal images increase the challenge of image registration. The deep network should extract modality-invariant features to identify the matching samples and discriminative features to separate the nonmatching samples. Th...Show More

Efficient and Robust: A Cross-Modal Registration Deep Wavelet Learning Method for Remote Sensing Images

Dou Quan;Huiyuan Wei;Shuang Wang;Yi Li;Jocelyn Chanussot;Yanhe Guo;Biao Hou;Licheng Jiao

Year: 2023 | Volume: 16 | Journal Article |

Deep Modality Independent Descriptor Learning for Optical and SAR Image Patch Matching

Huiyuan Wei;Dou Quan;Ruiqi Lei;Baorui Duan;Shuang Wang;Yi Li;Biao Hou;Licheng Jiao

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Due to the complementary information between multi-modal images, they are widely used in various applications. However, there are significant differences in appearance caused by different imaging mechanisms, which bring great challenges to multi-modal image patch matching. To solve this problem, this paper proposes a deep modality independent descriptor learning network (DMID-Net) for multi-modal ...Show More

Deep Modality Independent Descriptor Learning for Optical and SAR Image Patch Matching

Huiyuan Wei;Dou Quan;Ruiqi Lei;Baorui Duan;Shuang Wang;Yi Li;Biao Hou;Licheng Jiao

Year: 2022 | Conference Paper |

CIPPSRNet: A Camera Internal Parameters Perception Network Based Contrastive Learning for Thermal Image Super-Resolution

Kai Wang;Qigong Sun;Yicheng Wang;Huiyuan Wei;Chonghua Lv;Xiaolin Tian;Xu Liu

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (6)
Thermal Image Super-Resolution (TISR) is a technique for converting Low-Resolution (LR) thermal images to High-Resolution (HR) thermal images. This technique has recently become a research hotspot due to its ability to reduce sensor costs and improve visual perception. However, current research does not provide an effective solution for multi-sensor data training, possibly driven by pixel mismatch...Show More

CIPPSRNet: A Camera Internal Parameters Perception Network Based Contrastive Learning for Thermal Image Super-Resolution

Kai Wang;Qigong Sun;Yicheng Wang;Huiyuan Wei;Chonghua Lv;Xiaolin Tian;Xu Liu

Year: 2022 | Conference Paper |

Thermal Image Super-Resolution Challenge Results - PBVS 2022

Rafael E. Rivadeneira;Angel D. Sappa;Boris X. Vintimilla;Jin Kim;Dogun Kim;Zhihao Li;Yingchun Jian;Bo Yan;Leilei Cao;Fengliang Qi;Hongbin Wang;Rongyuan Wu;Lingchen Sun;Yongqiang Zhao;Lin Li;Kai Wang;Yicheng Wang;Xuanming Zhang;Huiyuan Wei;Chonghua Lv;Qigong Sun;Xiaolin Tian;Zhuang Jia;Jiakui Hu;Chenyang Wang;Zhiwei Zhong;Xianming Liu;Junjun Jiang

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (8)
This paper presents results from the third Thermal Image Super-Resolution (TISR) challenge organized in the Perception Beyond the Visible Spectrum (PBVS) 2022 workshop. The challenge uses the same thermal image dataset as the first two challenges, with 951 training images and 50 validation images at each resolution. A set of 20 images was kept aside for testing. The evaluation tasks were to measur...Show More

Thermal Image Super-Resolution Challenge Results - PBVS 2022

Rafael E. Rivadeneira;Angel D. Sappa;Boris X. Vintimilla;Jin Kim;Dogun Kim;Zhihao Li;Yingchun Jian;Bo Yan;Leilei Cao;Fengliang Qi;Hongbin Wang;Rongyuan Wu;Lingchen Sun;Yongqiang Zhao;Lin Li;Kai Wang;Yicheng Wang;Xuanming Zhang;Huiyuan Wei;Chonghua Lv;Qigong Sun;Xiaolin Tian;Zhuang Jia;Jiakui Hu;Chenyang Wang;Zhiwei Zhong;Xianming Liu;Junjun Jiang

Year: 2022 | Conference Paper |

Self-Distillation Feature Learning Network for Optical and SAR Image Registration

Dou Quan;Huiyuan Wei;Shuang Wang;Ruiqi Lei;Baorui Duan;Yi Li;Biao Hou;Licheng Jiao

IEEE Transactions on Geoscience and Remote Sensing
Year: 2022 | Volume: 60 | Journal Article |
Cited by: Papers (38)
Optical and synthetic aperture radar (SAR) image registration is important for multimodal remote sensing image information fusion. Recently, deep matching networks have shown better performances than traditional methods of image matching. However, due to significant differences between optical and SAR images, the performances of existing deep learning methods still need to be further improved. Thi...Show More

Self-Distillation Feature Learning Network for Optical and SAR Image Registration

Dou Quan;Huiyuan Wei;Shuang Wang;Ruiqi Lei;Baorui Duan;Yi Li;Biao Hou;Licheng Jiao

Year: 2022 | Volume: 60 | Journal Article |

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