… in masked modeling remains an open question. To … Contextual Point Cloud Modeling (CPCM)
that consists of two parts: region-wise masking (RegionMask) strat- egy and a contextual …

… Therefore, to make full use of the contextual information, we develop a contextual
modeling method that integrates global and local contextual information of the point clouds. …

… models the interactions of a group of points instead of normally considering the many linked
pairs of points within that same group, that is, it models … high-order contextual model are de…

… dependencies to address the aforementioned problems faced by point cloud segmentation.
… to model global contextual dependencies between channels of 3D point cloud features by …

… contextual representation for point cloud processing. Technically, it extends regular grid CNN
to irregular point … The point cloud data is sampled from these models by [31]. For training, …

… -dimensional (3D) point cloud of indoor scenes obtained from such cameras. Our method
uses a graphical model that captures various features and contextual relations, including the …

… Conventional point cloud… point clouds with groundingby-matching strategy. Specifically, via
the global panoptic segmentation, our proposed model extracts several instance point clouds …

… points tend to be correlated, contextual classification approaches may be applied which also
involve a model of the relations between 3D points in … of contextual point cloud classification …

… point clouds, in this paper, the goal is to use the kd tree structure [4] as the 3D data representation
model… The model exploits both local and global contextual information and aggregates …

… work proposes a data-driven approach to modeling contextual information covering both
intra-object part … We mainly review those works which take 3D point clouds as input. Point cloud …