9 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 4 cited
An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo dataset
Teng Wu, Bruno Vallet, Marc Pierrot-Deseilligny +1
Dense matching is crucial for 3D scene reconstruction since it enables the recovery of scene 3D geometry from image acquisition. Deep Learning (DL)-based methods have shown effecti…
cs.CV2023
Mobile Mapping Mesh Change Detection and Update
Teng Wu, Bruno Vallet, Cédric Demonceaux
Mobile mapping, in particular, Mobile Lidar Scanning (MLS) is increasingly widespread to monitor and map urban scenes at city scale with unprecedented resolution and accuracy. The…
cs.CV2023★ 9 cited
Semantic Segmentation of Urban Textured Meshes Through Point Sampling
Grégoire Grzeczkowicz, Bruno Vallet
Textured meshes are becoming an increasingly popular representation combining the 3D geometry and radiometry of real scenes. However, semantic segmentation algorithms for urban mes…