14 citations · 14 across the 2 of their papers we have counts for
3 papers
cs.CV2026
TOL: Textual Localization with OpenStreetMap
Youqi Liao, Shuhao Kang, Jingyu Xu +6
Natural language provides an intuitive way to express spatial intent in geospatial applications. While existing localization methods often rely on dense point cloud maps or high-re…
cs.CV2025
TrueCity: Real and Simulated Urban Data for Cross-Domain 3D Scene Understanding
Duc Nguyen, Yan-Ling Lai, Qilin Zhang +4
3D semantic scene understanding remains a long-standing challenge in the 3D computer vision community. One of the key issues pertains to limited real-world annotated data to facili…
cs.CV2023★ 14 cited
TUM-FAÇADE: Reviewing and enriching point cloud benchmarks for façade segmentation
Olaf Wysocki, Ludwig Hoegner, Uwe Stilla
Point clouds are widely regarded as one of the best dataset types for urban mapping purposes. Hence, point cloud datasets are commonly investigated as benchmark types for various u…