Abstract: Domain adaptive LiDAR point cloud segmentation aims to develop an effective target segmentation model using labeled source data and unlabeled target data. Existing domain adaptation methods ...
“The air will come out of the whole thing,” says Rich Lister Mike Dorrell, an Australian on top of the infrastructure investment world. Mike Dorrell, Australia’s wealthiest expat and biggest data ...
Abstract: Point clouds can capture the precise geometric information of objects and scenes, which are an important source of 3-D data and one of the most popular 3-D geometric data structures for ...
US Air Force investigating SharePoint breach exposing PII and PHI across its systems Chinese-linked groups exploited SharePoint flaws Microsoft and US authorities are actively investigating the scope ...
Abstract: Learning 3-D structures from incomplete point clouds with extreme sparsity and random distributions is a challenge since it is difficult to infer topological connectivity and structural ...
Abstract: Existing point cloud completion methods rely on extracting latent codes from a partial point cloud to reconstruct a complete structure. However, the complexity of the partial point clouds, ...
Abstract: As a crucial representation of 3D data, a point cloud (PC) can accurately capture the geometry, structure, and color information of objects. However, various quality problems arise owing to ...
With the enactment of the GENIUS Act and passage of the CLARITY Act through the U.S. House of Representatives, the United States has reversed its hostile approach to the digital asset ecosystem. While ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback