Micro-expression Action Unit Detection with Dual-view Attentive Similarity-Preserving Knowledge Distillation
Encoding facial expressions via action units (AUs) has been found to be effective in resolving the ambiguity issue among different expressions. Therefore, […]
Fog-RAN Enabled Multi-Connectivity and Multi-Cell Scheduling Framework for Ultra-Reliable Low Latency Communication
Ultra-Reliable Low Latency Communication (URLLC) is a newly introduced service class targeting emerging Internet-of-Things (IoT) application scenarios. This paper assumes an interference-limited […]
Field trial with tactical bubbles for mission critical communications
Main research and development interest of 5G and beyond systems are focusing on solution for populated and hot spot areas, but public […]
Content Distribution Based on Joint V2I and V2V Scheduling in mmWave Vehicular Networks
With the explosive growth of vehicle applications vehicular networks based on millimeter wave (mmWave) bands have attracted interests from both academia and […]
Fog Computing and Blockchain-Based Security Service Architecture for 5G Industrial IoT-Enabled Cloud Manufacturing
Recent evolution of the industrial Internet of Things empowers the classical manufacturing model with cloud computing integration for Industry 4.0. Cloud integration […]
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss
Deep neural networks have recently thrived on single image depth estimation. That being said, current developments on this topic highlight an apparent […]
RGBD-Net
We propose a new cascaded architecture for novel view synthesis, called RGBD-Net, which consists of two core components: a hierarchical depth regression […]
Feasibility Study on the Use of Printed OLEDs for Wireless Data and Power Transmission in Light-based Internet of Things (LIoT)
Visible light communication (VLC)-based Internet of Things (IoT) designs are rapidly gaining attention due to their unique communication-friendly features such as the […]
SAR Target Recognition based on Model Transfer and Hinge Loss with Limited Data
Convolutional neural networks have made great achievements in field of optical image classification during recent years. However, for Synthetic Aperture Radar automatic […]
Network Slice Provisioning Approaches for Industry Verticals
Network slicing is widely studied as an essential technological enabler for supporting diverse use case specific services through network virtualization. Industry verticals, […]