{"id":"https://openalex.org/W4390874333","doi":"https://doi.org/10.1109/iccv51070.2023.02071","title":"TALL: Thumbnail Layout for Deepfake Video Detection","display_name":"TALL: Thumbnail Layout for Deepfake Video Detection","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4390874333","doi":"https://doi.org/10.1109/iccv51070.2023.02071"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51070.2023.02071","doi":"https://doi.org/10.1109/iccv51070.2023.02071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51070.2023.02071","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2307.07494","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037413797","display_name":"Yuting Xu","orcid":"https://orcid.org/0000-0003-0463-3107","observed_orcids":["https://orcid.org/0000-0003-0463-3107","https://orcid.org/0009-0008-6657-4345"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I9796191","display_name":"University College of Applied Science","ror":"https://ror.org/00f72x493","country_code":"PS","type":"education","lineage":["https://openalex.org/I9796191"]}],"countries":["CN","PS"],"is_corresponding":false,"raw_author_name":"Yuting Xu","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering","Institute of Information Engineering, Chinese Academy of Sciences","School of Cyber Security, UCAS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"raw_affiliation_string":"School of Cyber Security, UCAS","institution_ids":["https://openalex.org/I4210165038","https://openalex.org/I9796191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112582835","display_name":"Jian Liang","orcid":"https://orcid.org/0000-0003-3890-1894","observed_orcids":["https://orcid.org/0000-0003-3890-1894"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I9796191","display_name":"University College of Applied Science","ror":"https://ror.org/00f72x493","country_code":"PS","type":"education","lineage":["https://openalex.org/I9796191"]}],"countries":["CN","PS"],"is_corresponding":false,"raw_author_name":"Jian Liang","raw_affiliation_strings":["Chinese Academy of Sciences,CRIPAC &#x0026; MAIS, Institute of Automation","School of Artificial Intelligence, UCAS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,CRIPAC &#x0026; MAIS, Institute of Automation","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, UCAS","institution_ids":["https://openalex.org/I4210165038","https://openalex.org/I9796191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084003247","display_name":"Gengyun Jia","orcid":"https://orcid.org/0000-0002-0513-138X","observed_orcids":["https://orcid.org/0000-0002-0513-138X"]},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengyun Jia","raw_affiliation_strings":["NJUPT,School of Communications and Information Engineering","School of Communications and Information Engineering, NJUPT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NJUPT,School of Communications and Information Engineering","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Communications and Information Engineering, NJUPT","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072939937","display_name":"Ziming Yang","orcid":"https://orcid.org/0000-0001-8131-7322","observed_orcids":["https://orcid.org/0000-0001-8131-7322"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I9796191","display_name":"University College of Applied Science","ror":"https://ror.org/00f72x493","country_code":"PS","type":"education","lineage":["https://openalex.org/I9796191"]}],"countries":["CN","PS"],"is_corresponding":false,"raw_author_name":"Ziming Yang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering","Institute of Information Engineering, Chinese Academy of Sciences","School of Cyber Security, UCAS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"raw_affiliation_string":"School of Cyber Security, UCAS","institution_ids":["https://openalex.org/I4210165038","https://openalex.org/I9796191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101930309","display_name":"Yanhao Zhang","orcid":"https://orcid.org/0000-0001-8612-989X","observed_orcids":["https://orcid.org/0000-0001-8612-989X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanhao Zhang","raw_affiliation_strings":["OPPO Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OPPO Research Institute","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112749024","display_name":"Ran He","orcid":"https://orcid.org/0000-0002-3807-991X","observed_orcids":["https://orcid.org/0000-0002-3807-991X"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I9796191","display_name":"University College of Applied Science","ror":"https://ror.org/00f72x493","country_code":"PS","type":"education","lineage":["https://openalex.org/I9796191"]}],"countries":["CN","PS"],"is_corresponding":false,"raw_author_name":"Ran He","raw_affiliation_strings":["Chinese Academy of Sciences,CRIPAC &#x0026; MAIS, Institute of Automation","School of Artificial Intelligence, UCAS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,CRIPAC &#x0026; MAIS, Institute of Automation","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, UCAS","institution_ids":["https://openalex.org/I4210165038","https://openalex.org/I9796191"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.2498,"has_fulltext":true,"cited_by_count":125,"citation_normalized_percentile":{"value":0.98769374,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"22601","last_page":"22611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deepfake-video-detection","display_name":"deepfake video detection","score":0.9179999828338623},{"id":"https://openalex.org/keywords/swin-transformer","display_name":"Swin Transformer","score":0.9190000295639038},{"id":"https://openalex.org/keywords/cross-dataset-generalization","display_name":"cross-dataset generalization","score":0.9670000076293945},{"id":"https://openalex.org/keywords/face-forensics","display_name":"face forensics","score":0.6370000243186951}],"concepts":[{"id":"https://openalex.org/C160174412","wikidata":"https://www.wikidata.org/wiki/Q873806","display_name":"Thumbnail","level":3,"score":0.9197518825531006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8361114263534546},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5769782066345215},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5358563661575317},{"id":"https://openalex.org/C199519371","wikidata":"https://www.wikidata.org/wiki/Q942695","display_name":"Source lines of code","level":3,"score":0.5185385346412659},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.49145209789276123},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.4677714705467224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44971853494644165},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.367287814617157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33992135524749756},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32170823216438293},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22549289464950562},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11217188835144043},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.07674580812454224},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51070.2023.02071","doi":"https://doi.org/10.1109/iccv51070.2023.02071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51070.2023.02071","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2307.07494","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.07494","pdf_url":"https://arxiv.org/pdf/2307.07494","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2307.07494","doi":"https://doi.org/10.48550/arxiv.2307.07494","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2307.07494","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2307.07494","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.07494","pdf_url":"https://arxiv.org/pdf/2307.07494","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1000124133","display_name":null,"funder_award_id":"Z211100002121108","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G5181136371","display_name":null,"funder_award_id":"62276256","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8442675014","display_name":null,"funder_award_id":"U20A20223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8709529125","display_name":null,"funder_award_id":"U21B2045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326444","display_name":"Nova","ror":null},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390874333.pdf","grobid_xml":"https://content.openalex.org/works/W4390874333.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2194775991","https://openalex.org/W2301937176","https://openalex.org/W2531409750","https://openalex.org/W2619082050","https://openalex.org/W2746314669","https://openalex.org/W2891145043","https://openalex.org/W2898877033","https://openalex.org/W2904367110","https://openalex.org/W2912336782","https://openalex.org/W2942074357","https://openalex.org/W2945262873","https://openalex.org/W2946948417","https://openalex.org/W2962858109","https://openalex.org/W2963616706","https://openalex.org/W2992308087","https://openalex.org/W3002581072","https://openalex.org/W3019200173","https://openalex.org/W3034196597","https://openalex.org/W3034577585","https://openalex.org/W3034713808","https://openalex.org/W3034795015","https://openalex.org/W3034900344","https://openalex.org/W3035575176","https://openalex.org/W3048341421","https://openalex.org/W3092879151","https://openalex.org/W3094728142","https://openalex.org/W3095986900","https://openalex.org/W3096831136","https://openalex.org/W3108281670","https://openalex.org/W3110828520","https://openalex.org/W3126337037","https://openalex.org/W3128609017","https://openalex.org/W3138516171","https://openalex.org/W3147387781","https://openalex.org/W3154326567","https://openalex.org/W3166873596","https://openalex.org/W3173581984","https://openalex.org/W3174508664","https://openalex.org/W3174814557","https://openalex.org/W3176241004","https://openalex.org/W3183392865","https://openalex.org/W3183999072","https://openalex.org/W3184310606","https://openalex.org/W3196204467","https://openalex.org/W3204419213","https://openalex.org/W3206817819","https://openalex.org/W3207531490","https://openalex.org/W3215121054","https://openalex.org/W4200630668","https://openalex.org/W4221045030","https://openalex.org/W4221161777","https://openalex.org/W4224918448","https://openalex.org/W4225966148","https://openalex.org/W4283802557","https://openalex.org/W4287112808","https://openalex.org/W4308456711","https://openalex.org/W4312472072","https://openalex.org/W4312730263","https://openalex.org/W4312992915","https://openalex.org/W4313042219","https://openalex.org/W4313127140","https://openalex.org/W4313177092","https://openalex.org/W4317796367","https://openalex.org/W4322207844","https://openalex.org/W4322576470","https://openalex.org/W4375839990","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W4399980772","https://openalex.org/W7172099259","https://openalex.org/W3128609017","https://openalex.org/W7119517370","https://openalex.org/W4416183191","https://openalex.org/W4391136344","https://openalex.org/W7124874193","https://openalex.org/W7151598350","https://openalex.org/W7164675715","https://openalex.org/W4382655513"],"abstract_inverted_index":{"The":[0,158],"growing":[1],"threats":[2],"of":[3,24,63,108,114,141],"deepfakes":[4],"to":[5,20,59,80,85],"society":[6],"and":[7,14,65,87,99,126,134,139,143],"cybersecurity":[8],"have":[9,17],"raised":[10],"enormous":[11],"public":[12],"concerns,":[13],"increasing":[15],"efforts":[16],"been":[18],"devoted":[19],"this":[21],"critical":[22],"topic":[23],"deepfake":[25],"video":[26,29,53],"detection.":[27],"Existing":[28],"methods":[30],"achieve":[31],"good":[32],"performance":[33],"but":[34],"are":[35,71],"computationally":[36],"intensive.":[37],"This":[38],"paper":[39],"introduces":[40],"a":[41,52,56,74,90,105],"simple":[42,101],"yet":[43],"effective":[44,127],"strategy":[45],"named":[46],"Thumbnail":[47],"Layout":[48],"(TALL),":[49],"which":[50],"transforms":[51],"clip":[54],"into":[55,89,120],"pre-defined":[57,91],"layout":[58,92],"realize":[60],"the":[61,94,112,137,151],"preservation":[62],"spatial":[64],"temporal":[66],"dependencies.":[67],"Specifically,":[68],"consecutive":[69],"frames":[70],"masked":[72],"in":[73,77],"fixed":[75],"position":[76],"each":[78],"frame":[79],"improve":[81],"generalization,":[82],"then":[83],"resized":[84],"sub-images":[86],"rearranged":[88],"as":[93],"thumbnail.":[95],"TALL":[96,119,142],"is":[97,160],"model-agnostic":[98],"extremely":[100],"by":[102,111],"only":[103],"modifying":[104],"few":[106],"lines":[107],"code.":[109],"Inspired":[110],"success":[113],"vision":[115],"transformers,":[116],"we":[117],"incorporate":[118],"Swin":[121],"Transformer,":[122],"forming":[123],"an":[124],"efficient":[125],"method":[128],"TALL-Swin.":[129,145],"Extensive":[130],"experiments":[131],"on":[132,150],"intra-dataset":[133],"cross-dataset":[135,153],"validate":[136],"validity":[138],"superiority":[140],"SOTA":[144],"TALL-Swin":[146],"achieves":[147],"90.79%":[148],"AUC":[149],"challenging":[152],"task,":[154],"FaceForensics++":[155],"\u2192":[156],"CelebDF.":[157],"code":[159],"available":[161],"at":[162],"https://github.com/rainy-xu/TALL4Deepfake.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":53},{"year":2025,"cited_by_count":49},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-01-16T00:00:00"}
