Intra- and Inter-Contrastive Learning for Micro-expression Action Unit Detection
Encoding facial expressions via Action Units (AUs) has been found effective for resolving the ambiguity issue among different expressions. In the literature, […]
Cross-modal Self-Supervised Learning for Lip Reading
The goal of this work is to learn discriminative visual representations for lip reading without access to manual text annotation. Recent advances […]
A2W
Augmented Reality (AR) offers new capabilities for blurring the boundaries between physical reality and digital media. However, the capabilities of integrating web […]
Informative Class-Conditioned Feature Alignment for Unsupervised Domain Adaptation
The goal of unsupervised domain adaptation is to learn a task classifier that performs well for the unlabeled target domain by borrowing […]
On Using Monte-Carlo Tree Search to Solve Puzzles
Solving puzzles has become increasingly important in artificial intelligence research since the solutions could be directly applied to real-world or general problems […]
Adversarial learning and decomposition-based domain generalization for face anti-spoofing
Face anti-spoofing (FAS) plays a critical role in the face recognition community for securing the face presentation attacks. Many works have been […]
Latency Constrained Simultaneous Wireless Information and Power Transfer
This paper studies a power splitting (PS)-based simultaneous wireless information and power transfer (SWIPT) multi-user system. Specifically, an optimization problem is formulated […]
ETSI SmartBAN in Medical IoT
In this paper, we are briefly discussing on the ETSI SmartBAN standard and its utilization in medical Internet of Things (mIoT) applications. […]
Performance of wireless body area networks for health
This paper deals with a comparative analysis of the performances of two different communications standards for wireless body area networks (WBAN): ETSI […]
Hierarchical Bayesian-based Indoor Positioning Using Distributed Antenna Systems
This work proposes and evaluates hierarchical Bayesian-based localization methods to estimate the position of a target node in indoor deployment scenarios. The […]