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From human physiology to environmental evolution, important processes in nature often exhibit meaningful and strong periodic or quasi-periodic changes.
Lower bounds on the maximum cross correlation of signals (corresp.)
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The kinetics human action video dataset
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Spyros Gidaris, Praveer Singh, and Nikos Komodakis · 2018
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Class-agnostic counting
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Representation learning with contrastive predictive coding
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Contact-free screening of atrial fibrillation by a smartphone using facial pulsatile photoplethysmographic signals
Bryan P Yan, William HS Lai, Christy KY Chan, Stephen Chun-Hin Chan, Lok-Hei Chan, Ka-Ming Lam, Ho-Wang Lau, Chak-Ming Ng, Lok-Yin Tai, Kin-Wai Yip, et al · 2018
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Skillful twelve hour precipitation forecasts using large context neural networks
Lasse Espeholt, Shreya Agrawal, Casper Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, and Nal Kalchbrenner · 2021
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The way to my heart is through contrastive learning: Remote photoplethysmography from unlabelled video
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Region-aware contrastive learning for semantic segmentation
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Metaphys: few-shot adaptation for non-contact physiological measurement
Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak Patel, and Daniel McDuff · 2021
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Smartphone-based blood pressure measurement using transdermal optical imaging technology
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Spatio-temporal attention and magnification for classification of parkinson’s disease from videos collected via the internet
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A simple framework for contrastive learning of visual representations
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Behavioral use licensing for responsible ai
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Monitoring gait at home with radio waves in parkinson’s disease: A marker of severity, progression, and medication response
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