Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Yue, Zijie"'
Facial video-based remote physiological measurement is a promising research area for detecting human vital signs (e.g., heart rate, respiration frequency) in a non-contact way. Conventional approaches are mostly supervised learning, requiring extensi
Externí odkaz:
http://arxiv.org/abs/2407.08507
Radiology report generation (RRG) has attracted significant attention due to its potential to reduce the workload of radiologists. Current RRG approaches are still unsatisfactory against clinical standards. This paper introduces a novel RRG method, \
Externí odkaz:
http://arxiv.org/abs/2403.06728
Referring video object segmentation (RVOS) aims to segment the target instance referred by a given text expression in a video clip. The text expression normally contains sophisticated description of the instance's appearance, action, and relation wit
Externí odkaz:
http://arxiv.org/abs/2306.08736
Facial 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
Externí odkaz:
http://arxiv.org/abs/2210.15401
Autor:
Yue, Zijie, Shi, Miaojing
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 using end-to-end deep neural networks.
Externí odkaz:
http://arxiv.org/abs/2207.08960
Akademický článek
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Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-13
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 hav
Akademický článek
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Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-11
Remote photoplethysmography (rPPG) enables noncontact 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 numbe
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 achiev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0659ee71e2a717e859602f5a1b85dbc6