Illumination variation-resistant network for heart rate measurement by exploring RGB and MSR spaces
Remote photoplethysmography (rPPG) is an essential way of monitoring the physiological indicator heart rate (HR), which has important guiding significance for preventing […]
Evaluation of video-based rPPG in challenging environments: Artifact mitigation and network resilience
Video-based remote photoplethysmography (rPPG) has emerged as a promising technology for non-contact vital sign monitoring, especially under controlled conditions. However, the accurate […]
Waveform Learning under Phase Noise Impairment for Sub-THz Communications
The large untapped spectrum in sub-THz allows for ultra-high throughput communication to realize many seemingly impossible applications in 6G. Phase noise (PN) […]
Benchmarking deep Facial Expression Recognition: An extensive protocol with balanced dataset in the wild
Facial expression recognition (FER) is crucial in enhancing human-computer interaction. While current FER methods, leveraging various open-source deep learning models and training […]
Latency-Aware Generative Semantic Communications With Pre-Trained Diffusion Models
Generative foundation AI models have recently shown great success in synthesizing natural signals with high perceptual quality using only textual prompts and […]
Large Virtual Antenna Array-Based Empirical Channel Characterization for Sub-THz Indoor Hall Scenarios
Sub-Terahertz (sub-THz), which encompasses a frequency range between 100-300 GHz, is anticipated to be an important element in the development of future […]
MaskFusionNet: A Dual-Stream Fusion Model with Masked Pre-training Mechanism for rPPG Measurement
Remote photoplethysmography (rPPG) has considerable significance in areas such as disease diagnosis and emotion analysis. Recent rPPG models have demonstrated excellent performance […]
Semantic Revolution from Communications to Orchestration for 6G: Challenges, Enablers, and Research Directions
In the context of emerging 6G services, the realization of everything-to-everything interactions involving a myriad of physical and digital entities presents a […]
Hierarchical MTC User Activity Detection and Channel Estimation with Unknown Spatial Covariance
This paper addresses the joint user identification and channel estimation (JUICE) problem in machine-type communications under the practical spatially correlated channels model […]
I2GF-Net: Inter-layer Information Guidance Feedback Networks for Wood Surface Defect Detection in Complex Texture Backgrounds
Visual surface defect detection is crucial for product quality control in the large-scale wood manufacturing industry. This study focuses on how to […]