Model

MSTrans

multi-scale spatio-temporal transformer for rPPG

RGBComputer Vision and Image Understanding
Cite
Venue listedCatalog paper date: 2027Source

Activity counts measure attention, not model quality. Missing counts are unknown. Publication status follows the linked source; a listed venue alone does not confirm peer review.

MSTrans is a multi-scale spatio-temporal transformer framework for remote photoplethysmography from face video, described in Computer Vision and Image Understanding (DOI 10.1016/j.cviu.2026.104983). Public abstract text and official code were not reachable when this entry was prepared, so method details and reported errors are omitted here.

Signals
RGB
Form factor
camera_rppg
License
Paper closed access (Elsevier)
Year
2027
Architecture

multi-scale spatio-temporal transformer for rPPG

At a glance
Type
Task model
Modalities
RGB
Form factor
Camera rPPG
Parameters
Not reported
Architecture
multi-scale spatio-temporal transformer for rPPG
Venue
Computer Vision and Image Understanding (Elsevier), vol. Jan 2027, DOI 10.1016/j.cviu.2026.104983
Year
2027
arXiv
Not reported
Code
Not reported
Weights
Not reported
Licence
Paper closed access (Elsevier)
Caveats
Not reported
Datasets
Not reported
Added
Not reported
Updated
Oct 27, 2026
MSTrans: ChatPPG research summary card

How it works

How MSTrans works: Input signals → Model → Downstream tasksInput signals: RGB. Model: MSTrans (Transformer).Input signalsRGBRGBModel×NMSTransTransformer
Architecture
multi-scale spatio-temporal transformer for rPPG
Inputs
RGB
Approach
rppg · model · transformer · multi scale

Datasets

No public datasets linked yet.

Cite

APA

MSTrans. (2027). Computer Vision and Image Understanding. https://doi.org/10.1016/j.cviu.2026.104983

BibTeX

@article{mstrans2027mstrans,
  title         = {{MSTrans}},
  year          = {2027},
  journal       = {Computer Vision and Image Understanding},
  doi           = {10.1016/j.cviu.2026.104983}
}

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History

  1. Record updated