13 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 13 cited
DC3DCD: unsupervised learning for multiclass 3D point cloud change detection
Iris de Gélis, Sébastien Lefèvre, Thomas Corpetti
In a constant evolving world, change detection is of prime importance to keep updated maps. To better sense areas with complex geometry (urban areas in particular), considering 3D…
cs.CV2023★ 4 cited
Change detection needs change information: improving deep 3D point cloud change detection
Iris de Gélis, Thomas Corpetti, Sébastien Lefèvre
Change detection is an important task that rapidly identifies modified areas, particularly when multi-temporal data are concerned. In landscapes with a complex geometry (e.g., urba…