FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression | Paper Citation Record

Observation 78fd9e7f-6493-478f-b8d0-fa810e25a36d · outbound

This paper cites Artificial intelligence-enhanced electrocardiography in cardiovascular disease management,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Artificial intelligence-enhanced electrocardiography in cardiovascular disease management,

Reference 1

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Observation 06bd3800-f590-4bed-a633-01fc3e241bf6 · outbound

This paper cites Ai- enabled electrocardiography alert intervention and all-cause mortality: a pragmatic randomized clinical trial,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Ai- enabled electrocardiography alert intervention and all-cause mortality: a pragmatic randomized clinical trial,

Reference 2

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Observation 6b8c97dd-807b-4920-a9e3-c8dc30530a1d · outbound

This paper cites Wearable sensor data and self-reported symptoms for covid-19 detection,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Wearable sensor data and self-reported symptoms for covid-19 detection,

Reference 3

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Observation 6c16024d-182a-431f-ba49-0be737da5e80 · outbound

This paper cites Wearable sensors enable personalized predictions of clinical laboratory measurements,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Wearable sensors enable personalized predictions of clinical laboratory measurements,

Reference 4

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Observation 161741bf-7475-486a-b270-b8578c322d73 · outbound

This paper cites The role of acrylic acid impurity as a sensitizing com- ponent in electrocardiogram electrodes,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression The role of acrylic acid impurity as a sensitizing com- ponent in electrocardiogram electrodes,

Reference 5

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Observation 80b734a9-5462-403d-8bb1-498527d73a9c · outbound

This paper cites End-to-end multimodal emotion recognition based on facial expressions and remote photoplethysmography signals,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression End-to-end multimodal emotion recognition based on facial expressions and remote photoplethysmography signals,

Reference 6

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Observation dc2bf709-f4c1-4946-85d6-c3ed677297cd · outbound

This paper cites Remote plethysmo- graphic imaging using ambient light,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Remote plethysmo- graphic imaging using ambient light,

Reference 7

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Observation a8d3c8d3-2107-4f9b-9694-0b715c358b93 · outbound

This paper cites Camera measurement of physiological vital signs,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Camera measurement of physiological vital signs,

Reference 8

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Observation 0d274089-eab9-4a1f-9520-02f698214600 · outbound

This paper cites Video- based heart rate measurement: Recent advances and future prospects,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Video- based heart rate measurement: Recent advances and future prospects,

Reference 9

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Observation b482a6e9-6dd9-4537-a55d-2a64b36cf444 · outbound

This paper cites Learning deep models for face anti- spoofing: Binary or auxiliary supervision,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Learning deep models for face anti- spoofing: Binary or auxiliary supervision,

Reference 10

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Observation 65915540-ac84-46ba-9a33-b4be605692b9 · outbound

This paper cites Quality-based rPPG compensation with temporal difference transformer for camera-based driver monitoring,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Quality-based rPPG compensation with temporal difference transformer for camera-based driver monitoring,

Reference 11

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Observation e2725a59-6865-4ae0-8e55-437997ad96cb · outbound

This paper cites Dichromatic reflection models for a variety of materials,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Dichromatic reflection models for a variety of materials,

Reference 12

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Observation f388cb12-77dd-4a84-9c6d-475aef8003d2 · outbound

This paper cites Robust pulse rate from chrominance-based rPPG,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Robust pulse rate from chrominance-based rPPG,

Reference 13

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Observation 1ad90ce7-01c3-4e92-ad98-2513b9a02dec · outbound

This paper cites Algorithmic principles of remote PPG,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Algorithmic principles of remote PPG,

Reference 14

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Observation eed84a88-41a4-4f77-b04d-c4a2553b1e9a · outbound

This paper cites Non-contact, automated cardiac pulse measurements using video imaging and blind source separation,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Non-contact, automated cardiac pulse measurements using video imaging and blind source separation,

Reference 15

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Observation 6ff410d4-c6ca-4473-a2c9-9f73a80d9c22 · outbound

This paper cites DeepPhys: Video-based physiological mea- surement using convolutional attention networks,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression DeepPhys: Video-based physiological mea- surement using convolutional attention networks,

Reference 16

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Observation b1c52047-396f-4e74-a580-b4e199b4ee9c · outbound

This paper cites Remote photoplethysmograph signal measurement from facial videos using spatio-temporal networks,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Remote photoplethysmograph signal measurement from facial videos using spatio-temporal networks,

Reference 17

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Observation 2d48a70a-e86f-4df9-8009-25ed35e23810 · outbound

This paper cites RhythmNet: End-to-end heart rate estimation from face via spatial-temporal representation,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression RhythmNet: End-to-end heart rate estimation from face via spatial-temporal representation,

Reference 18

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Observation 66d3274a-7ed2-4bf9-ab13-81987fb73dae · outbound

This paper cites PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethys- mography,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethys- mography,

Reference 19

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Observation 4e3ded9c-b7f9-4b5f-8d26-72f481bf543a · outbound

This paper cites PhysFormer: Facial video-based physiological measurement with temporal difference transformer,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression PhysFormer: Facial video-based physiological measurement with temporal difference transformer,

Reference 20

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Observation a2c454cc-87db-4616-a269-ccc7f647e829 · outbound

This paper cites rPPG-MAE: Self- supervised pretraining with masked autoencoders for remote physiolog- ical measurements,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression rPPG-MAE: Self- supervised pretraining with masked autoencoders for remote physiolog- ical measurements,

Reference 21

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Observation 4a459a53-15bf-4543-ba7c-66c74c68c47a · outbound

This paper cites The way to my heart is through contrastive learning: Remote photoplethysmography from unlabelled video,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression The way to my heart is through contrastive learning: Remote photoplethysmography from unlabelled video,

Reference 22

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Observation b2d0d8d3-530c-4c96-8101-2d464a425550 · outbound

This paper cites Contrast-Phys: Unsupervised video-based remote physiological measurement via spatiotemporal contrast,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Contrast-Phys: Unsupervised video-based remote physiological measurement via spatiotemporal contrast,

Reference 23

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Observation f79eb5d7-184c-41f0-ba50-fdac1aa7e186 · outbound

This paper cites Self-supervised representation learning framework for remote physiological measurement using spatiotemporal augmentation loss,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Self-supervised representation learning framework for remote physiological measurement using spatiotemporal augmentation loss,

Reference 24

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Observation 97bf68f5-f6f5-4bc3-9603-e8e850fa97cd · outbound

This paper cites SimPer: Simple Self-Supervised Learning of Periodic Targets.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression SimPer: Simple Self-Supervised Learning of Periodic Targets

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:06:27.369855Z

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Observation 9a3ab6ae-dd91-4f61-b392-01de2c5b37c3 · outbound

This paper cites Facial video-based remote physiological measurement via self-supervised learning,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Facial video-based remote physiological measurement via self-supervised learning,

Reference 26

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Observation 8ea63142-12da-4fef-830c-08c4ff89511c · outbound

This paper cites Contrast-Phys+: Unsupervised and weakly-supervised video-based remote physiological measurement via spatiotemporal con- trast,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Contrast-Phys+: Unsupervised and weakly-supervised video-based remote physiological measurement via spatiotemporal con- trast,

Reference 27

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Observation 05797d94-a78f-43b3-98e0-1a260f585f50 · outbound

This paper cites Self-supervised contrastive learning for robust remote photoplethysmography signal estimation based on spatio-temporal maps,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Self-supervised contrastive learning for robust remote photoplethysmography signal estimation based on spatio-temporal maps,

Reference 28

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Observation 4a7e211c-b5ca-46db-8a8a-4458cf28d3e4 · outbound

This paper cites Non-contrastive unsuper- vised learning of physiological signals from video,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Non-contrastive unsuper- vised learning of physiological signals from video,

Reference 29

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Observation 21486882-4580-40e9-acd4-fa599b119336 · outbound

This paper cites To remember, to adapt, to preempt: A stable continual test-time adaptation framework for remote physiological measurement in dynamic domain shifts,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression To remember, to adapt, to preempt: A stable continual test-time adaptation framework for remote physiological measurement in dynamic domain shifts,

Reference 30

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Observation 8becfc27-8017-4628-81b8-ca8918f84b5f · outbound

This paper cites Meta-rppg: Remote heart rate esti- mation using a transductive meta-learner,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Meta-rppg: Remote heart rate esti- mation using a transductive meta-learner,

Reference 31

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Observation 7d32b119-a7cb-4aec-a833-08085605a18d · outbound

This paper cites Swad: Domain generalization by seeking flat minima,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Swad: Domain generalization by seeking flat minima,

Reference 32

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Observation 71a19bbf-940b-451b-9b34-21b0c9d31812 · outbound

This paper cites Improved motion robustness of remote- PPG by using the blood volume pulse signature,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Improved motion robustness of remote- PPG by using the blood volume pulse signature,

Reference 33

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Observation 3d4bf71d-48a6-4692-8baf-47a03a17095b · outbound

This paper cites Multi-task temporal shift attention networks for on-device contactless vitals measurement,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Multi-task temporal shift attention networks for on-device contactless vitals measurement,

Reference 34

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Observation 8f1cec9a-1f11-4220-b52b-a56f446272ae · outbound

This paper cites Neuron structure modeling for generalizable remote physiological measurement,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Neuron structure modeling for generalizable remote physiological measurement,

Reference 35

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Observation 9df1b89b-0ae1-4b00-ab8c-209934b6adf3 · outbound

This paper cites Robust remote photoplethysmography esti- mation with environmental noise disentanglement,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Robust remote photoplethysmography esti- mation with environmental noise disentanglement,

Reference 36

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Observation a82ea0fb-1a60-4f9f-8b66-34963fa3415d · outbound

This paper cites Advancing generalizable remote physiological measurement through the integration of explicit and implicit prior knowledge,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Advancing generalizable remote physiological measurement through the integration of explicit and implicit prior knowledge,

Reference 37

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Observation b54fb1a7-71d0-4561-81c5-e574db906f8d · outbound

This paper cites Dimensionality reduction by learning an invariant mapping,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Dimensionality reduction by learning an invariant mapping,

Reference 38

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Observation b533e45a-c87d-4a19-ab47-19ead44ee946 · outbound

This paper cites Unsupervised feature learn- ing via non-parametric instance discrimination,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Unsupervised feature learn- ing via non-parametric instance discrimination,

Reference 39

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Observation 119d52be-b236-4c35-a25a-fcc1ab67006e · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Representation Learning with Contrastive Predictive Coding

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:06:27.362274Z

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Observation 5c522190-d3ef-4c69-9128-bd6020459c5b · outbound

This paper cites Masked autoencoders are scalable vision learners,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Masked autoencoders are scalable vision learners,

Reference 41

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Observation 14164216-ac5d-40cf-9040-cff8b4401323 · outbound

This paper cites Uda-rPPG: Unsupervised geometric-physiological domain anchoring for low-light rPPG measure- ment,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Uda-rPPG: Unsupervised geometric-physiological domain anchoring for low-light rPPG measure- ment,

Reference 42

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Observation bda4e3bf-5fd5-4127-afe8-17d248526343 · outbound

This paper cites MediaPipe: A Framework for Building Perception Pipelines.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression MediaPipe: A Framework for Building Perception Pipelines

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Resolution: verified exact; local_arxiv, observed 2026-07-02T02:06:27.365847Z

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Observation b2052e4b-eb6a-4f70-815b-56c52cba7b48 · outbound

This paper cites Video-based remote physiological measurement via cross-verified feature disentangling,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Video-based remote physiological measurement via cross-verified feature disentangling,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-28T11:11:51.602048Z

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Observation ea96118e-6b83-4945-9819-e524675c739f · outbound

This paper cites Amplitude- selective filtering for remote-PPG,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Amplitude- selective filtering for remote-PPG,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-28T11:11:51.602048Z

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Observation 191c20d8-3da7-4dd3-8259-6af5f7510949 · outbound

This paper cites Un- supervised skin tissue segmentation for remote photoplethysmography,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Un- supervised skin tissue segmentation for remote photoplethysmography,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-28T11:11:51.602048Z

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Observation a155852e-28ec-4c70-9172-101fda63a042 · outbound

This paper cites Non-contact video-based pulse rate measurement on a mobile service robot,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Non-contact video-based pulse rate measurement on a mobile service robot,

Reference 47

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Observation edc1c745-5a89-4879-adb3-fbf70bb9f8e3 · outbound

This paper cites Motion-robust remote photoplethysmography with time–frequency wiener filtering,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Motion-robust remote photoplethysmography with time–frequency wiener filtering,

Reference 48

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Observation 21aeb01e-1fca-4552-879b-45d2ea1e0b98 · outbound

This paper cites MMPD: Multi-domain mobile video physiology dataset,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression MMPD: Multi-domain mobile video physiology dataset,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-28T11:11:51.602048Z

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Observation c522a714-134c-44f0-a62e-e1092a79c59f · outbound

This paper cites Visual heart rate estimation with convolutional neural network,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Visual heart rate estimation with convolutional neural network,

Reference 50

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Observation 165a5769-0351-46d6-995e-16cf4078fd2a · outbound

This paper cites Unifying frame rate and temporal dilations for improved remote pulse detection,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Unifying frame rate and temporal dilations for improved remote pulse detection,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-28T11:11:51.602048Z

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Observation b23c0874-30e4-4976-8b48-9e860cfbc424 · outbound

This paper cites Efficientphys: Enabling simple, fast and accurate camera-based cardiac measurement,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Efficientphys: Enabling simple, fast and accurate camera-based cardiac measurement,

Reference 52

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Observation c9df5610-799d-4f6b-85a3-beaf7958800d · outbound

This paper cites Dual-GAN: Joint BVP and noise modeling for remote physiological measurement,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Dual-GAN: Joint BVP and noise modeling for remote physiological measurement,

Reference 53

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Observation 7be349fe-df5e-4c67-999b-ec54a503413d · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,

Reference 54

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Observation b573cbf8-4715-4e8e-8fff-d6d808984d3c · outbound

This paper cites rPPG-Toolbox: Deep remote PPG toolbox,.

FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression rPPG-Toolbox: Deep remote PPG toolbox,

Reference 55

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