Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems
Hybrid beamforming (HBF) is a key enabler for millimeter-wave (mmWave) communications systems, but HBF optimizations are often non-convex and of large dimension. […]
Unsupervised Learning-Based Joint Power Control and Fronthaul Capacity Allocation in Cell-Free Massive MIMO With Hardware Impairments
A deep learning-based resource allocation algorithm that maximizes the sum rate of a limited fronthaul cell-free massive MIMO network with transceiver hardware […]
SMG
We explore using body gestures for hidden emotional state analysis. As an important non-verbal communicative fashion, human body gestures are capable of […]
Deep Learning for Instance Retrieval
In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, […]
Deep Learning for Face Anti-Spoofing
Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in securing face recognition systems from presentation attacks (PAs). […]
RF-Inpainter
This study demonstrates the feasibility of image inpainting using both visual information and radio frequency (RF) signals. Recent developments in imaging and […]
Deep Learning for Micro-Expression Recognition
Micro-expressions (MEs) are involuntary facial movements revealing people’s hidden feelings in high-stake situations and have practical importance in various fields. Early methods […]
Importance-Aware Information Bottleneck Learning Paradigm for Lip Reading
Lip reading is the task of decoding text from speakers’ mouth movements. Numerous deep learning-based methods have been proposed to address this […]
Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation
Class-Incremental Learning (CIL) aims at incrementally learning novel classes without forgetting old ones. This capability becomes more challenging when novel tasks contain […]
Deep Learning Based Over-the-Air Channel Estimation Using a ZYNQ SDR Platform
Deep learning based channel estimation techniques have recently found an overwhelming interest owing to data-driven learning-based adaptability compared to conventional estimation techniques […]