Hybrid-supervised Hypergraph-enhanced Transformer for Micro-gesture Based Emotion Recognition
Micro-gestures are unconsciously performed body gestures that can convey the emotion states of humans and start to attract more research attention in […]
Extreme Value Theory-enhanced Radio Maps for Handovers in Ultra-reliable Communications
Efficient handover (HO) strategies are essential for maintaining the stringent performance requirements of ultra-reliable communication (URC) systems. This work introduces a novel […]
Enhancing Facial Privacy Protection via Weakening Diffusion Purification
The rapid growth of social media has led to the widespread sharing of individual portrait images, which pose serious privacy risks due […]
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
Gaussian splatting enables fast novel view synthesis in static 3D environments. However, reconstructing real-world environments remains challenging as distractors or occluders break […]
Towards Securing IIoT: An Innovative Privacy-Preserving Anomaly Detector Based on Federated Learning
In the light of the growing connectivity and sensitivity of industrial data, cyberattacks and data breaches are becoming more common in the […]
Token Communications: A Large Model-Driven Framework for Cross-Modal Context-Aware Semantic Communications
In this article, we introduce token communications (TokCom), a large model-driven framework to leverage cross-modal context information in generative semantic communications (GenSC). […]
UDA-rPPG: Unsupervised Geometric-Physiological Domain Anchoring for Low-Light rPPG Measurement
Remote photoplethysmography (rPPG) is a critical technique for non-contact monitoring of human vital signs using facial video data. Most of the existing […]
Design of a Wideband Wide-Angle Scanning Connected Slot Array Antenna for 5G-NR FR1 Band
This article presents a planar dual-polarised wideband, and wide-scanning array antenna based on the connected slot array principle. Its polarization diversity and […]
A Distributed mMIMO Architecture For Over-The-Air Federated Learning
This paper compares distributed massive Multiple-Input Multiple-Output (mMIMO) and centralized MIMO in the context of over-the-air federated learning, taking into account a […]
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization
Visual localization aims to determine the camera pose of a query image relative to a database of posed images. In recent years, […]