mlsanityData to 7 Oct 2026

The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation

arXiv 2109.10471 ↗First posted 22 Sep 2021cs.CY cs.CV cs.LGcited by 19

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Abstract (arXiv)

Telehealth has the potential to offset the high demand for help during public health emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG) - the problem of non-invasively estimating blood volume variations in the microvascular tissue from video - would be well suited for these situations. Over the past few years a number of research groups have made rapid advances in remote PPG methods for estimating heart rate from digital video and obtained impressive results. How these various methods compare in naturalistic conditions, where spontaneous behavior, facial expressions, and illumination changes are present, is relatively unknown. To enable comparisons among alternative methods, the 1st Vision for Vitals Challenge (V4V) presented a novel dataset containing high-resolution videos time-locked with varied physiological signals from a diverse population. In this paper, we outline the evaluation protocol, the data used, and the results. V4V is to be held in conjunction with the 2021 International Conference on Computer Vision.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 21 of its 44 references that are in the map. First posted on arXiv 22 Sep 2021.

Builds on

21 of 44 references.

References · 21

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  7. 2020Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurementcited by 133
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9 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 8; 2025: 5; 2026: 1.

19 papers.

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  1. 2021Camera Measurement of Physiological Vital Signscited by 49
  2. 2023Neuron Structure Modeling for Generalizable Remote Physiological Measurementcited by 29
  3. 2024Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledgecited by 13
  4. 2024PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote Physiological Measurementcited by 9
  5. 2024Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Drivingcited by 8
  6. 2024Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurementcited by 6
  7. 2022Instantaneous Physiological Estimation using Video Transformerscited by 5
  8. 2022Perfusion assessment via local remote photoplethysmography (rPPG)cited by 4
  9. 2025Align the GAP: Prior-based Unified Multi-Task Remote Physiological Measurement Framework For Domain Generalization and Personalizationcited by 4
  10. 2024Phase-shifted remote photoplethysmography for estimating heart rate and blood pressure from facial videocited by 2
  11. 2024Deep adaptative spectral zoom for improved remote heart rate estimationcited by 2
  12. 2025Sage Deer: A Super-Aligned Driving Generalist Is Your Copilotcited by 2
7 more
  1. 2023Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPGcited by 1
  2. 2025Periodic-MAE: Periodic Video Masked Autoencoder for rPPG Estimationcited by 1
  3. 2024Deep Learning Technology for Face Forgery Detection: A Surveycited by 0
  4. 2024R2I-rPPG: A Robust Region of Interest Selection Method for Remote Photoplethysmography to Extract Heart Ratecited by 0
  5. 2025Period-LLM: Extending the Periodic Capability of Multimodal Large Language Modelcited by 0
  6. 2025CAST-Phys: Contactless Affective States Through Physiological signals Databasecited by 0
  7. 2026LQ-rPPG: A Label-Quantized Coarse-to-Fine Learning Framework for Remote Physiological Measurementcited by 0