The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

Abstract: Point scene instance mesh reconstruction is a challenging task since it requires both scene-level instance segmentation and instance-level mesh reconstruction from partial observations ...

Hyderabad: The Siasat’s Mahboob Hussain Jigar Career Guidance Centre has announced the beginning of free introductory classes ...

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, ...

Abstract: Mobile robots and autonomous vehicles rely on 3-D point cloud technology for environmental perception, which often employ various visual perception sensors within their Internet of Things ...

Abstract: In this paper, we address the important task of Individual Tree Detection (ITD) in forest environments for enabling tree parameter estimation including tree count, height, volume, and crown ...

Abstract: Programming is basic to all engineering studies and a complicated subject for many first-year students. Many of the problems stem from the difficulty students have in finding the solution ...

Abstract: Content-based 3D object retrieval is a challenging problem in computer vision and graphics, especially for non-rigid 3D shapes. This article proposes a multiview-based robust point ...

DataCamp is geared towards data science and analytics, offering specialized Python tracks with practical exercises using ...

Abstract: This work presents a special unified compute-in-memory (CIM) processor supporting both general-purpose computing and deep neural network (DNN) operations, referred to as the general-purpose ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Abstract: Point cloud analysis (such as 3D segmentation and detection) is a challenging task, because of not only the irregular geometries of many millions of unordered points, but also the great ...