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Yi Zhang

Publications
6
Citations
44
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (18)
Image of author Yi Zhang

Yi Zhang

Affiliation

School of Cyber Science and Engineering, Wuhan University

Publication Topics

Biography

Yi Zhang is currently working toward the B.S. degree in geomatics engineering with the School of Geodesy and Geomatics, Wuhan University, Wuhan, China.,Her research interests include deep learning, computer vision, and remote sensing imaging.(Based on document published on 28 November 2023).
Publications
6
Citations
44
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (18)
Author's Published Works

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View2CAD: Parsing Multi-view into CAD Command Sequences

Yi Zhang;Fazhi He;Rubin Fan;Bo Fan

2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Year: 2024 | Conference Paper |
Computer-aided design (CAD) is the primary and indispensable tool for engineers and designers, streamlining design processes and contributing to innovation in various industries. However, mastering these complex CAD programs demands extensive training and experience for CAD practitioners. To this end, this paper proposes View2CAD to reconstruct CAD models from multi-view. Specifically, we first in...Show More

View2CAD: Parsing Multi-view into CAD Command Sequences

Yi Zhang;Fazhi He;Rubin Fan;Bo Fan

Year: 2024 | Conference Paper |

Faster Transformer-DS: Multiscale Vehicle Detection of Remote-Sensing Images Based on Transformer and Distance-Scale Loss

Jiahuan Zhang;Hengzhen Liu;Yi Zhang;Menghan Li;Zongqian Zhan

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2024 | Volume: 17 | Journal Article |
Cited by: Papers (3)
Vehicle detection (VD) on remote sensing (RS) images has gained impressive achievements these years, mainly thanks to the development of popular learning-based object detection architectures [e.g., faster R-convolutional neural network (CNN), YOLO series, etc.]. However, for RS images, mutiscale VD with tiny size still remains challenging. Particularly, vehicles as tiny objects typically contain o...Show More

Faster Transformer-DS: Multiscale Vehicle Detection of Remote-Sensing Images Based on Transformer and Distance-Scale Loss

Jiahuan Zhang;Hengzhen Liu;Yi Zhang;Menghan Li;Zongqian Zhan

Year: 2024 | Volume: 17 | Journal Article |

SDMNet: A Deep-Supervised Dual Discriminative Metric Network for Change Detection in High-Resolution Remote Sensing Images

Xi Li;Li Yan;Yi Zhang;Nan Mo

IEEE Geoscience and Remote Sensing Letters
Year: 2022 | Volume: 19 | Journal Article |
Cited by: Papers (24)
High-resolution remote sensing image change detection (CD) is one of the main methods to analyze land surface changes. How to effectively distinguish interesting changes and pseudochanges in high-resolution remote sensing images and form accurate and robust CD results is crucial. To deal with these problems, in this letter, we propose a deep-supervised dual discriminative metric network (SDMNet) t...Show More

SDMNet: A Deep-Supervised Dual Discriminative Metric Network for Change Detection in High-Resolution Remote Sensing Images

Xi Li;Li Yan;Yi Zhang;Nan Mo

Year: 2022 | Volume: 19 | Journal Article |

Building Instance Change Detection from High Spatial Resolution Remote Sensing Images with Improved Instance Segmentation Architecture

Li Yan;Jianbing Yang;Yi Zhang

2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
The detection of ground surface changes can provide essential and valuable information for experts in the fields of geomatics, emergency management, and urban management. Many deep learning models have been proposed for detecting the change from remote sensing images. However, the majority of studies have not been able to simultaneously accomplish both building change detection and instance segmen...Show More

Building Instance Change Detection from High Spatial Resolution Remote Sensing Images with Improved Instance Segmentation Architecture

Li Yan;Jianbing Yang;Yi Zhang

Year: 2022 | Conference Paper |

Rail Vehicle Localization and Mapping With LiDAR-Vision-Inertial-GNSS Fusion

Yusheng Wang;Weiwei Song;Yidong Lou;Yi Zhang;Fei Huang;Zhiyong Tu;Qiangsheng Liang

IEEE Robotics and Automation Letters
Year: 2022 | Volume: 7, Issue: 4 | Journal Article |
Cited by: Papers (11)
In this letter, we present a global navigation satellite system (GNSS) aided LiDAR-visual-inertial scheme, RailLoMer-V, for accurate and robust rail vehicle localization and mapping. RailLoMer-V is formulated atop a factor graph and consists of two subsystems: an odometer assisted LiDAR-inertial system (OLIS) and an odometer integrated Visual-inertial system (OVIS). Both the subsystem exploits the...Show More

Rail Vehicle Localization and Mapping With LiDAR-Vision-Inertial-GNSS Fusion

Yusheng Wang;Weiwei Song;Yidong Lou;Yi Zhang;Fei Huang;Zhiyong Tu;Qiangsheng Liang

Year: 2022 | Volume: 7, Issue: 4 | Journal Article |

Registration of Terrestrial LiDAR and Panoramic Imagery Using the Spherical Epipolar Line and Spherical Absolute Orientation Model

Yi Zhang;Zhifang Cui

IEEE Sensors Journal
Year: 2022 | Volume: 22, Issue: 13 | Journal Article |
Cited by: Papers (5)
Registration between terrestrial LiDAR and optical imagery plays a crucial role in information fusion. However, it is difficult to find reliable correlations among the different feature information of optical imagery and LiDAR point clouds. Therefore, in order to achieve high-precision registration of heterogeneous sensors, a method based on spherical epipolar line and spherical absolute orientati...Show More

Registration of Terrestrial LiDAR and Panoramic Imagery Using the Spherical Epipolar Line and Spherical Absolute Orientation Model

Yi Zhang;Zhifang Cui

Year: 2022 | Volume: 22, Issue: 13 | Journal Article |

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