FastAL: Fast Evaluation Module for Efficient Dynamic Deep Active Learning Using Broad Learning System
State-of-the-art Active Learning (AL) methods often encounter challenges associated with a hysteretic learning process and an expensive data sampling mechanism. The former […]
A novel healthy food recommendation to user groups based on a deep social community detection approach
Existing food recommendation models have typically suggested foods or recipes to single users. However, in reality, users may be members of a […]
Deep Learning for Visual Speech Analysis: A Survey
Visual speech, referring to the visual domain of speech, has attracted increasing attention due to its wide applications, such as public security, […]
Estimating Exercise-Induced Fatigue from Thermal Facial Images
Exercise-induced fatigue resulting from physical activity can be an early indicator of overtraining, illness, or other health issues. In this paper, we […]
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 […]