Paper Publications
- [1] Xuenan Liu et al.，HRUNet: Assessing Uncertainty in Heart Rates Measured from Facial Videos:IEEE Journal of Biomedical and Health Informatics
- [2] Xuenan Liu et al.，PFDNet: A Pulse Feature Disentanglement Network for Atrial Fibrillation Screening from Facial Videos:IEEE Journal of Biomedical and Health Informatics
- [3] Xuenan Liu et al.，VidAF: A Motion Robust Model for Screening Atrial Fibrillation from Facial Videos:IEEE Journal of Biomedical and Health Informatics
- [4] Xuenan Liu et al.，VideoCAD: An Uncertainty-Driven Neural Network for Coronary Artery Disease Screening from Facial Videos:IEEE Transactions on Instrumentation and Measurement
- [5] Xuenan Liu et al.，Detecting Pulse Rates from Facial Videos Recorded in Unstable Lighting Conditions: an Adaptive Spatiotemporal Homomorphic Filtering Algorithm:IEEE Transactions on Instrumentation and Measurement
- [6] Xuenan Liu et al.，Detecting Pulse Wave from Unstable Facial Videos Recorded from Consumer-level Cameras: a Disturbance-adaptive Orthogonal Matching Pursuit:IEEE Transactions on Biomedical Engineering
- [7] Xuenan Liu et al.，Self-adaptive Signal Separation for Non-contact Heart Rate Estimation from Facial Video in Realistic Environments:Physiological Measurement
- [8] Xuenan Liu et al.，Heart Rate Detection from Facial Videos Using a Frequency-constrained Multilayer Sparse Coding:IEEE International Conference on Image Processing (ICIP),2020
- [9] Xuenan Liu et al.，MANet: a Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic Motions:IEEE/CVF International Conference on Computer Vision Workshops (ICCV-W),2021
- [10] Xuenan Liu et al.，VidBP: Detecting Blood Pressure from Facial Videos with Personalized Calibration:Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),2023
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