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Remote photoplethysmography (rPPG) is a method for non-contact measurement of physiological signals from facial videos, holding great potential in various applications such as healthcare, affective computing, and anti-spoofing.
Improved motion robustness of remote-PPG by using the blood volume pulse signature
De Haan, G.; and Van Leest, A. 2014 · 1913
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Remote plethysmographic imaging using ambient light
Verkruysse, W.; Svaasand, L. O.; and Nelson, J. S. 2008 · 2008
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An image is worth 16x16 words: Transformers for image recognition at scale
Dosovitskiy, A.; Beyer, L.; Kolesnikov, A.; Weissenborn, D.; Zhai, X.; Unterthiner, T.; Dehghani, M.; Minderer, M.; Heigold, G.; Gelly, S.; et al. 2020 · 2010
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Non-contact, automated cardiac pulse measurements using video imaging and blind source separation
Poh, M.-Z.; McDuff, D. J.; and Picard, R. W. 2010 · 2010
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Robust pulse rate from chrominance-based rPPG
De Haan, G.; and Jeanne, V. 2013 · 2013
Earlier work this paper cites.
Non-contact video-based pulse rate measurement on a mobile service robot
Stricker, R.; Müller, S.; and Gross, H.-M. 2014 · 2014
Earlier work this paper cites.
Algorithmic principles of remote PPG
Wang, W.; Den Brinker, A. C.; Stuijk, S.; and De Haan, G. 2016 · 2016
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Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
Earlier work this paper cites.
Deepphys: Video-based physiological measurement using convolutional attention networks
Chen, W.; and McDuff, D. 2018 · 2018
Earlier work this paper cites.
Synrhythm: Learning a deep heart rate estimator from general to specific
Niu, X.; Han, H.; Shan, S.; and Chen, X. 2018 · 2018
Earlier work this paper cites.
Local group invariance for heart rate estimation from face videos in the wild
Pilz, C. S.; Zaunseder, S.; Krajewski, J.; and Blazek, V. 2018 · 2018
Earlier work this paper cites.
Visual heart rate estimation with convolutional neural network
Špetlík, R.; Franc, V.; and Matas, J. 2018 · 2018
Earlier work this paper cites.
Unsupervised skin tissue segmentation for remote photoplethysmography
Bobbia, S.; Macwan, R.; Benezeth, Y.; Mansouri, A.; and Dubois, J. 2019 · 2019
Earlier work this paper cites.
Rhythmnet: End-to-end heart rate estimation from face via spatial-temporal representation
Niu, X.; Shan, S.; Han, H.; and Chen, X. 2019 · 2019
Earlier work this paper cites.
Remote photoplethysmograph signal measurement from facial videos using spatio-temporal networks
Yu, Z.; Li, X.; and Zhao, G. 2019 · 2019
Earlier work this paper cites.
Remote heart rate measurement from highly compressed facial videos: an end-to-end deep learning solution with video enhancement
Yu, Z.; Peng, W.; Li, X.; Hong, X.; and Zhao, G. 2019 · 2019
Cited alongside, same era.
Multi-task temporal shift attention networks for on-device contactless vitals measurement
Liu, X.; Fromm, J.; Patel, S.; and McDuff, D. 2020 · 2020
Cited alongside, same era.
Video-based remote physiological measurement via cross-verified feature disentangling
Niu, X.; Yu, Z.; Han, H.; Li, X.; Shan, S.; and Zhao, G. 2020 · 2020
Cited alongside, same era.
Autohr: A strong end-to-end baseline for remote heart rate measurement with neural searching
Yu, Z.; Li, X.; Niu, X.; Shi, J.; and Zhao, G. 2020 · 2020
Cited alongside, same era.
Vivit: A video vision transformer
Arnab, A.; Dehghani, M.; Heigold, G.; Sun, C.; Lučić, M.; and Schmid, C. 2021 · 2021
Cited alongside, same era.
Neuron Structure Modeling for Generalizable Remote Physiological Measurement
Lu, H.; Yu, Z.; Niu, X.; and Chen, Y.-C. 2023 · 2023
Later among the works it cites.
Camera measurement of physiological vital signs
McDuff, D. 2023 · 2023
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TranPhys: Spatiotemporal Masked Transformer Steered Remote Photoplethysmography Estimation
Shao, H.; Luo, L.; Qian, J.; Chen, S.; Hu, C.; and Yang, J. 2023 · 2023
Later among the works it cites.
MMPD: Multi-Domain Mobile Video Physiology Dataset
Tang, J.; Chen, K.; Wang, Y.; Shi, Y.; Patel, S.; McDuff, D.; and Liu, X. 2023 · 2023
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Physformer++: Facial video-based physiological measurement with slowfast temporal difference transformer
Yu, Z.; Shen, Y.; Shi, J.; Zhao, H.; Cui, Y.; Zhang, J.; Torr, P.; and Zhao, G. 2023 · 2023
Later among the works it cites.
Facial video-based remote physiological measurement via self-supervised learning
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The way to my heart is through contrastive learning: Remote photoplethysmography from unlabelled video
Gideon, J.; and Stent, S. 2021 · 2021
Cited alongside, same era.
Dual-gan: Joint bvp and noise modeling for remote physiological measurement
Lu, H.; Han, H.; and Zhou, S. K. 2021 · 2021
Cited alongside, same era.
Video-based physiological measurement using 3d central difference convolution attention network
Zhao, Y.; Zou, B.; Yang, F.; Lu, L.; Belkacem, A. N.; and Chen, C. 2021 · 2021
Cited alongside, same era.
MS-TCT: multi-scale temporal convtransformer for action detection
Dai, R.; Das, S.; Kahatapitiya, K.; Ryoo, M. S.; and Brémond, F. 2022 · 2022
Cited alongside, same era.
Transrac: Encoding multi-scale temporal correlation with transformers for repetitive action counting
Hu, H.; Dong, S.; Zhao, Y.; Lian, D.; Li, Z.; and Gao, S. 2022 · 2022
Cited alongside, same era.
MTT: Multi-scale temporal transformer for skeleton-based action recognition
Kong, J.; Bian, Y.; and Jiang, M. 2022 · 2022
Cited alongside, same era.
Physformer: Facial video-based physiological measurement with temporal difference transformer
Yu, Z.; Shen, Y.; Shi, J.; Zhao, H.; Torr, P. H.; and Zhao, G. 2022 · 2022
Cited alongside, same era.
Yue, Z.; Shi, M.; and Ding, S. 2023 · 2023
Later among the works it cites.
Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement
Choi, J.-H.; Kang, K.-B.; and Kim, K.-T. 2024 · 2024
Closest in time.
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Dao, T.; and Gu, A. 2024 · 2024
Closest in time.
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
Liu, M.; Tang, J.; Li, H.; Qi, J.; Li, S.; Wang, K.; Wang, Y.; and Chen, H. 2024 · 2024
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SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series
Patro, B. N.; and Agneeswaran, V. S. 2024 · 2024
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Contrast-Phys+: Unsupervised and Weakly-Supervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast
Sun, Z.; and Li, X. 2024 · 2024
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Frequency-domain MLPs are more effective learners in time series forecasting
Yi, K.; Zhang, Q.; Fan, W.; Wang, S.; Wang, P.; He, H.; An, N.; Lian, D.; Cao, L.; and Niu, Z. 2024 · 2024
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Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Zhu, L.; Liao, B.; Zhang, Q.; Wang, X.; Liu, W.; and Wang, X. 2024 · 2024
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RhythmFormer: Extracting rPPG Signals Based on Hierarchical Temporal Periodic Transformer
Zou, B.; Guo, Z.; Chen, J.; and Ma, H. 2024 · 2024
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Videomamba: State space model for efficient video understanding
Li, K.; Li, X.; Wang, Y.; He, Y.; Wang, Y.; Wang, L.; and Qiao, Y. 2025 · 2025
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