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 […]
Deep ladder reconstruction-classification network for unsupervised domain adaptation
Unsupervised Domain Adaptation aims to learn a classifier for an unlabeled target domain by transferring knowledge from a labeled source domain. Most […]
Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to learn a classifier for the unlabeled target domain by leveraging knowledge from a labeled source domain […]
Morphology-preserving reconstruction of times series with missing data for enhancing deep learning-based classification
There is a growing concern among deep learning-based decoding methods used for biomedical time series. In small dataset particularly those that rely […]
Deep Learning-based Power Control for Cell-Free Massive MIMO Networks
A deep learning (DL)-based power control algorithm that solves the max-min user fairness problem in a cell-free massive multiple-input multiple-output (MIMO) system […]
Channel estimation and hybrid architectures for RIS-assisted communications
Reconfigurable intelligent surfaces (RISs) are considered as potential technologies for the upcoming sixth-generation (6G) wireless communication system. Various benefits brought by deploying […]
Meta-Teacher For Face Anti-Spoofing
Face anti-spoofing (FAS) secures face recognition from presentation attacks (PAs). Existing FAS methods usually supervise PA detectors with handcrafted binary or pixel-wise […]
Towards Reading Beyond Faces for Sparsity-aware 3D/4D Affect Recognition
In this paper, we present a sparsity-aware deep network for automatic 3D/4D facial expression recognition (FER). We first propose a novel augmentation […]
Intelligent Radio Signal Processing
Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network […]
COVID-19 detection from Xray and CT scans using transfer learning
Since the novel coronavirus SARS-CoV-2 outbreak, intensive research has been conducted to find suitable tools for diagnosis and identifying infected people in […]