Publication:

Improved Deepfake Video Detection Using Convolutional Vision Transformer

Date

2024
Proceedings Paper
https://doi.org/10.1109/GEM61861.2024.10585593
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dc.contributor.authorDeressa, Deressa Wodajo
dc.contributor.authorLambert, Peter
dc.contributor.authorVan Wallendael, Glenn
dc.contributor.authorAtnafu, Solomon
dc.contributor.authorMareen, Hannes
dc.contributor.imecauthorLambert, Peter
dc.contributor.imecauthorVan Wallendael, Glenn
dc.contributor.imecauthorMareen, Hannes
dc.contributor.imecauthorDeressa, Deressa Wodajo
dc.contributor.orcidimecLambert, Peter::0000-0001-5313-4158
dc.contributor.orcidimecVan Wallendael, Glenn::0000-0001-9530-3466
dc.contributor.orcidimecMareen, Hannes::0000-0002-0660-3190
dc.date.accessioned2025-05-13T12:20:27Z
dc.date.available2024-09-07T18:21:13Z
dc.date.available2024-09-09T10:15:07Z
dc.date.available2025-05-13T12:20:27Z
dc.date.embargo2024-07-11
dc.date.issued2024
dc.description.wosFundingTextThis research was supported by Jimma University, Addis Ababa University, the Research Foundation -Flanders (FWO under project grant G0A2523N), the Flemish government (COM-PRESS project, within the relanceplan Vlaamse Veerkracht), IDLab (Ghent University -imec), Flanders Innovation and Entrep-reneurship (VLAIO), and the European Union.
dc.identifier.doi10.1109/GEM61861.2024.10585593
dc.identifier.eisbn979-8-3503-7453-7
dc.identifier.isbn979-8-3503-7454-4
dc.identifier.issn2831-5510
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44413
dc.publisherIEEE
dc.source.beginpage492
dc.source.conferenceGaming, Entertainment and Media Conference (GEM)
dc.source.conferencedateJUN 05-07, 2024
dc.source.conferencelocationTurin
dc.source.endpage497
dc.source.journalN/A
dc.source.numberofpages6
dc.title

Improved Deepfake Video Detection Using Convolutional Vision Transformer

dc.typeProceedings paper
dspace.entity.typePublication
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