IEEE

LighTN: Light-Weight Transformer Network for Performance-Overhead Tradeoff in Point Cloud Downsampling

Abstract: Downsampling is a crucial task for processing large scale and/or dense point clouds with limited resources. Owing to the development of deep learning, approaches of task-oriented point cloud ...
IEEE

The Worse the Better: Content-Aware Viewpoint Generation Network for Projection-Related Point Cloud Quality Assessment

Abstract: Existing projection-related point cloud quality assessment (PCQA) methods commonly adopt a straightforward but content-independent projection strategy, which selects a certain number of ...
IEEE

MPCT: Multiscale Point Cloud Transformer With a Residual Network

Abstract: The self-attention (SA) network revisits the essence of data and has achieved remarkable results in text processing and image analysis. SA is conceptualized as a set operator that is ...
IEEE

Dynamic Hypergraph Convolutional Network for No-Reference Point Cloud Quality Assessment

Abstract: With the rapid advancement of three-dimensional (3D) sensing technology, point cloud has emerged as one of the most important approaches for representing 3D data. However, quality ...
IEEE

A Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs

The advent of the sixth-generation (6G) networks presents another round of revolution for the mobile communication landscape, promising an immersive experience, robust reliability, minimal latency, ...
IEEE

Parameter Mapping of Distribution Substitution for Inter-Point Distances in Random Networks

Abstract: Statistical models of inter-point distances are pivotal for analyzing and optimizing wireless communication networks and other spatial systems, such as vehicular swarms and distributed ...
IEEE

WinAcc: Window-based Acceleration of Neural Networks Using Block Floating Point

Abstract: Deep Neural Networks (DNNs) impose significant computational demands, necessitating optimizations for computational and energy efficiencies. Per-vector scaling, which applies a scaling ...
IEEE

PAPNet: Point-Enhanced Attention-Aware Pillar Network for 3D Object Detection in Autonomous Driving

Abstract: The conversion of raw point clouds into pillar representations has been widely adopted for 3D object detection. Such conversion allows a point cloud to be discretized into structured grids, ...
IEEE

Generative AI-Empowered Secure Communications in Space–Air–Ground Integrated Networks: A Survey and Tutorial

Abstract: Space-air-ground integrated networks (SAGINs) face unprecedented security challenges due to their inherent characteristics, such as multidimensional heterogeneity and dynamic topologies.
IEEE

Affective Brain–Computer Interfaces: A Tutorial

Abstract: Affective brain–computer interfaces (aBCIs) are an emerging technology that decodes brain signals—primarily electroencephalography (EEG)—to monitor and regulate emotional states in real time ...
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 ...