Abstract: Weakly supervised point cloud semantic segmentation methods that require 1% or fewer labels with the aim of realizing almost the same performance as fully supervised approaches have recently ...

Abstract: Point cloud filtering and normal estimation are two fundamental research problems in the 3D field. Existing methods usually perform normal estimation and filtering separately and often show ...

Abstract: Point cloud semantic segmentation has achieved considerable progress in the past decade. To alleviate expensive data annotation efforts, weakly supervised learning methods are preferable, ...

FOXBOROUGH, Mass. -- The New England Patriots were a half away from ending Buffalo's five-year reign atop the AFC East. But after allowing Josh Allen and the Bills to score touchdowns on five straight ...

There is a noticeable delay in the AutoCompletion popup in both NetBeans IDE and the NetBeans VSCode Extension. After investigation, it appears the delay originates from the default value of ...

Abstract: Point clouds are widely applied in 3D visual sensing and perception. However, manually annotating point clouds is much more tedious and time-consuming than that for 2D images. Fortunately, ...

Abstract: This article discusses the problem of nonuniform running length in incomplete tracking control, which often occurs in industrial processes due to artificial or environmental changes, such as ...

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 ...

Abstract: Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across ...

WHAT: Apache Point Observatory (APO), in partnership with New Mexico State University’s Department of Astronomy, will host an open house from 10 a.m. to 2 p.m. Saturday, October 11. This event is free ...