82 citations · 83 across the 3 of their papers we have counts for
3 papers
cs.CV2025
SUM Parts: Benchmarking Part-Level Semantic Segmentation of Urban Meshes
Weixiao Gao, Liangliang Nan, Hugo Ledoux
Semantic segmentation in urban scene analysis has mainly focused on images or point clouds, while textured meshes - offering richer spatial representation - remain underexplored. T…
cs.CV2022★ 1 cited
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes
Weixiao Gao, Liangliang Nan, Bas Boom +1
We introduce a novel deep learning-based framework to interpret 3D urban scenes represented as textured meshes. Based on the observation that object boundaries typically align with…
cs.CV2021★ 82 cited
SUM: A Benchmark Dataset of Semantic Urban Meshes
Weixiao Gao, Liangliang Nan, Bas Boom +1
Recent developments in data acquisition technology allow us to collect 3D texture meshes quickly. Those can help us understand and analyse the urban environment, and as a consequen…