Two Point Campus continues in the already impressive footsteps of Two Point Hospital before it, dressing up an engaging business management sim in goofy irreverence. To be honest, its dorky, oddball ...
Abstract: Existing methods for learning 3D point cloud representation often use a single dataset-specific training and testing approach, leading to performance drops due to significant domain shifts ...
Abstract: Neighborhood construction plays a key role in point cloud processing. However, existing models only use a single neighborhood construction method to extract neighborhood features, which ...
Abstract: The point cloud feature aggregation, which learns discriminative features from the disordered points, plays a key role for large-scale point cloud semantic segmentation. Most previous ...
Abstract: Point cloud processing methods exploit local point features and global context through aggregation which does not explicitly model the internal correlations between local and global features ...
Abstract: Uncertainty-aware semantic segmentation of the point clouds includes predictive uncertainty estimation and uncertainty-guided model optimization. One key challenge in the task is the ...
Get started with Java streams, including how to create streams from Java collections, the mechanics of a stream pipeline, examples of functional programming with Java streams, and more. You can think ...
The aggregation of host defense peptides is directly linked to their membranolytic properties. A well-known example is the hLL-37 17–29 peptide, where aggregation induces cell lysis. Mutations at the ...
Abstract: Point cloud quality assessment (PCQA) is a challenging task due to the inherently disordered nature of points. Existing point-based methods, such as sparse convolution and PointNet, are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results