Papers
1
Total Citations
7
H-Index
1
About
Qiwei Xue is a researcher at the forefront of non-contact physiological sensing and computer vision, with a primary focus on remote photoplethysmography (rPPG) and human status assessment. Their most-cited work, "Non-contact rPPG-based human status assessment via a spatial–temporal attention feature fusion network with anti-aliasing" (2024, 7 citations), introduces a novel deep learning architecture that integrates spatial-temporal attention mechanisms with anti-aliasing techniques to extract subtle physiological signals from facial video. This contribution addresses critical challenges in remote health monitoring, such as motion artifacts and signal noise, enabling more accurate estimation of heart rate and stress levels without physical contact. Xue’s approach advances the practical deployment of rPPG in real-world settings, including driver fatigue detection and clinical telemedicine. With a citation count reflecting growing recognition in the field, their work bridges signal processing and neural network design, offering a robust solution for non-invasive health assessment. This achievement positions Qiwei Xue as an emerging innovator in the intersection of AI and biomedical engineering, with potential to transform how we monitor human well-being in everyday environments.
Research Focus
Key Achievements
Top Papers
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