Zijie Yue

Zijie Yue
Hefei University of Technology · School of Management

PhD candidate

About

13
Publications
1,228
Reads
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77
Citations
Citations since 2016
13 Research Items
77 Citations
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Publications

Publications (13)
Preprint
Video-based remote physiological measurement aims to estimate remote photoplethysmography (rPPG) signals from human face videos and then measure multiple vital signs (e.g. heart rate, respiration frequency) from rPPG signals. Recent approaches achieve it by training deep neural networks, which normally require abundant face videos and synchronously...
Preprint
The target of space-time video super-resolution (STVSR) is to increase both the frame rate (also referred to as the temporal resolution) and the spatial resolution of a given video. Recent approaches solve STVSR with end-to-end deep neural networks. A popular solution is to first increase the frame rate of the video; then perform feature refinement...
Article
Negative mood states include tension, depression, anger, fatigue, and confusion, which represent the weak internal emotions of a human. Negative mood states exert adverse impact on individuals' ability to make rational decisions, which entails the practicable method of negative mood state detection. The most commonly used negative mood state detect...
Article
Blood pressure (BP) measurement is of great significance for the diagnosis of cardiovascular and chronic diseases. However, the existing BP measurement methods are uncomfortable to use and cannot provide continuous monitoring. To overcome these limitations, this paper proposes a cloud-edge collaborative non-contact BP estimation model (CEBPM), whic...
Article
Heart rate (HR), heart rate variability (HRV), and respiratory rate (RR) are vital physiological signals that can reveal the physiological and psychological states of human beings. Recent research studies have demonstrated that these physiological signals can be estimated in a non-contact way from visible or infrared facial videos based on remote P...
Article
Heart rate (HR) is a critical signal for reflecting human physical and mental conditions, and it is beneficial for diagnosing neurological and cardiovascular diseases due to its excellent accessibility. However, traditional HR measurement devices have limited usability and convenience. Recent studies have shown that the optical absorption variation...
Article
Remote photoplethysmography (rPPG) enables non-contact heart rate (HR) estimation using facial videos and exhibits significant convenience over traditional contact-based HR measurement approaches. However, its effectiveness depends mainly on the number of pixels of the facial region; thus, the estimation accuracy is easily degraded due to missing r...
Article
Automatic acetowhite lesion segmentation in colposcopy images (cervigrams) is essential in assisting gynecologists for the diagnosis of cervical intraepithelial neoplasia grades and cervical cancer. It can also help gynecologists determine the correct lesion areas for further pathological examination. Existing computer-aided diagnosis algorithms sh...
Article
Time series medical images are an important type of medical data that contain rich spatio-temporal information. Recently, computer-aided diagnosis algorithms are often used on honest-but-curious servers to analyze medical images, which introduces severe privacy concerns. This paper proposes a convolutional-LSTM network (HE-CLSTM) for analyzing encr...

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