I am a D.Eng student at Wuhan University.
I graduated from School of Remote Sensing and Information Engineering, Wuhan University with a bachelor’s degree and from the State Key Laboratory of Remote Sensing for Surveying and Mapping, Wuhan University with a master’s degree.
My research focuses on remote sensing image processing and computer vision, with particular interests in domain adaptation, object detection, and image segmentation.
📝 Upcoming Work
We are currently working on several new research projects, and the code will be made publicly available upon the acceptance and publication of the paper.
If you have any questions or need further information, feel free to contact me at weix_liu@whu.edu.cn.
📝 Publications
LOSA: Learnable Online Style Adaptation for Test-time Domain Adaptive Object Detection, Weixing Liu, Bin Luo, Jun Liu, Han Nie, and Xin Su, IEEE Transactions on Geoscience and Remote Sensing 2025 |.
SCTNet: A Shallow CNN-Transformer Network with Statistics-Driven Modules for Cloud Detection, Weixing Liu, Bin Luo, Jun Liu, Han Nie, and Xin Su, IEEE Geoscience and Remote Sensing Letters 2025 |.
Multi-level domain perturbation for source-free object detection in remote sensing images, Weixing Liu, Jun Liu, Xin Su, Han Nie, and Bin Luo, Geo-Spatial Information Science 2024 | [arXiv].
Unsupervised Domain Adaptation for Remote-Sensing Vehicle Detection Using Domain-Specific Channel Recalibration, Weixing Liu, Jun Liu, Bin Luo, IEEE Geoscience and Remote Sensing Letters 2023 | [synthetic vehicle dataset].
Synthetic data augmentation using multiscale attention CycleGAN for aircraft detection in remote sensing images, Weixing Liu, Bin Luo, Jun Liu, IEEE Geoscience and Remote Sensing Letters 2021 | [arXiv] | [synthetic airplane dataset].