11 citations · 14 across the 4 of their papers we have counts for
5 papers
VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs
Tao Zhang, Shiqing Wei, Shihao Chen +3
Automatically extracting vectorized building contours from remote sensing imagery is crucial for urban planning, population estimation, and disaster assessment. Current state-of-th…
P2PFormer: A Primitive-to-polygon Method for Regular Building Contour Extraction from Remote Sensing Images
Tao Zhang, Shiqing Wei, Yikang Zhou +3
Extracting building contours from remote sensing imagery is a significant challenge due to buildings' complex and diverse shapes, occlusions, and noise. Existing methods often stru…
BuildMapper: A Fully Learnable Framework for Vectorized Building Contour Extraction
Shiqing Wei, Tao Zhang, Shunping Ji +2
Deep learning based methods have significantly boosted the study of automatic building extraction from remote sensing images. However, delineating vectorized and regular building c…
A diverse large-scale building dataset and a novel plug-and-play domain generalization method for building extraction
Muying Luo, Shunping Ji, Shiqing Wei
In this paper, we introduce a new building dataset and propose a novel domain generalization method to facilitate the development of building extraction from high-resolution remote…
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation
Tao Zhang, Shiqing Wei, Shunping Ji
Contour-based instance segmentation methods have developed rapidly recently but feature rough and hand-crafted front-end contour initialization, which restricts the model performan…