Open-vocabulary semantic segmentation (OVSS) of remote sensing faces severe performance degradation when encountering unseen scene distributions caused by geographic, sensor, and resolution variations. Existing vision–language approaches provide strong semantic priors but lack scene-invariant structural representations...
Wu-Biao Huang, Hu-Chen Li, Shuai Zhang et al.· IEEE Transactions on Geoscie...· 0 citations
A Knowledge Graph (KG) enhanced ZSSS framework is proposed, which introduces explicit hierarchical and relational information into class embeddings to achieve more structured and semantically consistent representations.
Wu-Biao Huang, Hu-Chen Li, Shuai Zhang et al.· ISPRS Annals of the Photogra...· 0 citations
A multi-stage LiDAR-image collaborative perception fusion network (MCPFNet) for point cloud semantic segmentation of urban scenes that is more reliable and accurate than existing methods in performing segmentation across diverse and complex urban scenes.
Hu-Chen Li, Wu-Biao Huang, Xiang-Da Lei et al.· Remote Sensing· 1 citation
Experiments show that CoMVS-GS remains competitive on object-level reconstruction and improves geometric accuracy and mesh compactness in outdoor scenes while maintaining high rendering quality.
Shi-Han Chen, Junjing Zhang, Q. Yan et al.· 0 citations
Abstract. The proliferation of continuous Neural Radiance Field (NeRF) and 3D Gaussian Splatting (3DGS) has shifted the paradigm of 3D aerial reconstruction from relying solely on geometric stereo matching to inverse rendering optimization. However, while these emerging rendering-based frameworks excel in synthesizing...
Shihan Chen, Zhaojin Li, Q. Yan et al.· The International Archives o...· 0 citations
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