PhySU-Net: Long Temporal Context Transformer for rPPG with Self-supervised Pre-training
Approved
Classifications
MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform
Publication channel information
Title of host publication
Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XIV
Editors of host publication
Antonacopoulos, Apostolos; Chaudhuri, Subhasis; Chellappa, Rama; Liu, Cheng-Lin; Bhattacharya, Saumik; Pal, Umapada
ISBN (print)
978-3-031-78340-1
ISBN (electronic)
978-3-031-78341-8
Name of conference
International Conference on Pattern Recognition
Title of journal/series
Lecture notes in computer science
ISSN (print)
0302-9743
ISSN (electronic)
1611-3349
ISSN (linking)
0302-9743
Publisher
Springer
Publication forum ID
62555
Publication forum level
1
Country of publication
Switzerland
Internationality
Yes
Detailed publication information
Publication year
2024
Reporting year
2024
Journal/series issue number
15314
Page numbers
228-243
DOI
10.1007/978-3-031-78341-8_15
Language of publication
English
Co-publication information
International co-publication
No
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences
Keywords
Remote Photoplethysmography; Facial Videos ; Transformer; Self-Supervised Learning
Funding information
Funding information in the publication
This work was supported by the Research Council of Finland (former Academy of Finland) Academy Professor project EmotionAI (grants 336116, 345122, 359854), ICT 2023 project TrustFace (grant 345948), the University of Oulu & Research Council of Finland Profi 7 (grant 352788), and HORIZON-MSCA-SE-2022 project ACMod (grant 101130271). As well, the authors wish to acknowledge CSC – IT Center for Science, Finland, for computational resources.
Source database ID
Scopus ID
2-s2.0-85211784318