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V4V 2021 : 1st Vision for Vitals Challenge & Workshop @ ICCV 2021

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Link: https://vision4vitals.github.io
 
When Oct 11, 2021 - Oct 17, 2021
Where virtual
Submission Deadline Jul 26, 2021
 

Call For Papers

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1st Vision for Vitals Challenge & Workshop
In conjunction with ICCV 2021 (virtual) (Oct 11th- Oct 17th, 2021)
Website: https://vision4vitals.github.io
Codalab: https://competitions.codalab.org/competitions/31978
CMT is open: https://cmt3.research.microsoft.com/V4V2021
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CALL FOR PAPERS
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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 movements, facial expressions, or illumination changes are present, is relatively unknown. Most previous benchmarking efforts focused on posed situations. No commonly accepted evaluation protocol exists for estimating vital signs in spontaneous behavior with which to compare them.

To enable comparisons among alternative methods, we present the 1st Vision for Vitals Workshop & Challenge (V4V 2021). This topic is germane to both computer vision and multimedia communities. For computer vision, it is an exciting approach to longstanding limitations of vital signs estimating approaches. For multimedia, remote vital signs estimation would enable more powerful applications.


Workshop (main) track
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The main track is intended to bring together computer vision researchers whose work is related to vision based vital signs estimation. We are soliciting original contributions which address a wide range of theoretical and application issues of remote vital signs estimation, including but not limited to:

- Methods for extracting vital signals from videos, including pulse rate, respiration rate, blood oxygen, and body temperature.
- Vision-based methods to support and augment vital signs monitoring systems, such as face/skin detection, motion tracking, video segmentation, and optimization.
- Vision-based vital signs measurement for affective, emotional, or cognitive states.
- Vision-based vital signs measurement to assist video surveillance in-the-wild.
- Vision-based vital signs measurement to detect human liveness or manipulated images (deep fake detection).
- Applications of vision-based vital signs monitoring
- User interfaces employing vision-based vital signs estimation

Challenge Track
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V4V Challenge evaluates remote PPG methods for vital signs estimation on a new large corpora of face videos annotated with corresponding high-resolution videos and vital signs from contact sensors. The goal of the challenge is to reconstruct the vital signs of the subjects from the video sources. The participants will receive an annotated training set and a test set without annotations.

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SUBMISSION
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For paper submission, please use the CMT site:
https://cmt3.research.microsoft.com/V4V2021

For participating in the challenge, please visit the CodaLab page for more details:
https://competitions.codalab.org/competitions/31978
https://vision4vitals.github.io

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IMPORTANT DATES
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Challenge Track

May 21th: Challenge site opens, training data available
July 9th: Testing phase begins
July 30th: Competition ends (challenge paper submission - optional)

Workshop Track

July 26th: Paper submission deadline
August 9th: Notification of acceptance
August 16th: Camera ready submission

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WORKSHOP ORGANIZERS
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Laszlo A. Jeni, Carnegie Mellon University, USA
Lijun Yin, Binghamton University, USA

Data chairs:
Ambareesh Revanur, Carnegie Mellon University, USA
Zhihua Li, Binghamton University, USA
Umur A. Ciftci, Binghamton University, USA

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