GaitSpoofNet: advanced spatio-temporal architectures for vision-based presentation attack detection

Islam Mohamed, Ahmad Salah, Essam Debie, Marwa Abdellah, Amr Abdellatif

Open source

DOI: 10.3389/frai.2026.1821341
Published: 2026-06-30
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1821341,
  title = {GaitSpoofNet: advanced spatio-temporal architectures for vision-based presentation attack detection},
  author = {Islam Mohamed and Ahmad Salah and Essam Debie and Marwa Abdellah and Amr Abdellatif},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1821341},
  url = {https://doi.org/10.3389/frai.2026.1821341}
}

RIS

TY  - JOUR
TI  - GaitSpoofNet: advanced spatio-temporal architectures for vision-based presentation attack detection
AU  - Islam Mohamed
AU  - Ahmad Salah
AU  - Essam Debie
AU  - Marwa Abdellah
AU  - Amr Abdellatif
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1821341
UR  - https://doi.org/10.3389/frai.2026.1821341
ER  -

APA

Mohamed, I., Salah, A., Debie, E., Abdellah, M., & Abdellatif, A. (2026). GaitSpoofNet: advanced spatio-temporal architectures for vision-based presentation attack detection. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1821341

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crossref · retrieved 2026-09-27T02:18:56.373Z