Computer Weekly

IOWN 2.0 – the next applications for the next-gen network architecture

Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.
IEEE

Point to Point Virtual Private Network Scheme Based on 5G Communication Terminal

Abstract: Aiming at the long-distance trans-regional transmission of power data in the new power system, this paper first analyzes the suitability of 5G communication network and power business, then ...
IEEE

BICANet: LiDAR Point Cloud Classification Network Based on Coordinate Attention and Blueprint Separation Involution Neural Network

Abstract: With the advent of the era of Industry 4.0 and the continuous development of point cloud data acquisition technology, point cloud data have been widely used in the unmanned distribution of ...
IEEE

Edge Enhancement Oriented Graph Convolutional Networks for Point Cloud Segmentation

Abstract: Aiming at the problem of poor edge effect segmentation in point cloud segmentation, which fails to fully utilize the correlation between the local geometric and semantic features of point ...
IEEE

Mask-SL RCNN: Feature-Enhanced 3D Object Detection Network for Point Clouds

Abstract: At present, with the original point cloud as input, most of the object detectors use Pointnet++ to extract features of the point cloud based on the Farthest Point Sampling (FPS). However, ...
IEEE

PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation

Abstract: Although point cloud segmentation has a principal role in 3D understanding, annotating fully large-scale scenes for this task can be costly and time-consuming. To resolve this issue, we ...
IEEE

RID-Net: A Hybrid MLP-Transformer Network for Robust Point Cloud Registration

Abstract: The robustness of correspondence-based point cloud registration relies on transformation invariance and intrinsic distinctiveness of the descriptors computed for registration. However, for ...
IEEE

Empowering Cloud Computing With Network Acceleration: A Survey

Abstract: Modern interactive and data-intensive applications must operate under demanding time constraints, prompting a shift toward the adoption of specialized software and hardware network ...
IEEE

A 38.5TOPS/W Point Cloud Neural Network Processor with Virtual Pillar and Quadtree-based Workload Management for Real-Time Outdoor BEV Detection

Abstract: In recent years, the significance of 3D point cloud processing has witnessed a remarkable upsurge, particularly in emerging application domains such as autonomous vehicles and mixed reality.
IEEE

MFE-Net: A Multi-Layer Feature Extraction Network for No-Reference Quality Assessment of 3-D Point Clouds

Abstract: As an important data form, the point cloud (PC) can present real-world objects in a 3D and realistic way. In order to measure the performance of acquisition, processing, and compression ...
Variety

‘Point Break’ TV Show in the Works at AMC Networks

“Point Break” is smacking the lip once more, as AMC Networks is developing a TV adaptation of the 1991 surf action flick, Variety has confirmed. The series is set in 2026, 35 years after the events of ...
IEEE

Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural Network

Abstract: Point clouds frequently contain noise and outliers, presenting obstacles for downstream applications. In this work, we introduce a novel denoising method for point clouds. By leveraging the ...