{"id":"https://openalex.org/W2891145043","doi":"https://doi.org/10.1109/wifs.2018.8630761","title":"MesoNet: a Compact Facial Video Forgery Detection Network","display_name":"MesoNet: a Compact Facial Video Forgery Detection Network","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2891145043","doi":"https://doi.org/10.1109/wifs.2018.8630761","mag":"2891145043"},"language":"en","primary_location":{"id":"doi:10.1109/wifs.2018.8630761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2018.8630761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1809.00888","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058378210","display_name":"Darius Afchar","orcid":"https://orcid.org/0000-0002-4315-1461"},"institutions":[{"id":"https://openalex.org/I142631665","display_name":"\u00c9cole nationale des ponts et chauss\u00e9es","ror":"https://ror.org/02nwvxz07","country_code":"FR","type":"education","lineage":["https://openalex.org/I142631665","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Darius Afchar","raw_affiliation_strings":["\u00c9cole des Ponts ParistechMarne-la-Vall\u00e9e, France","ENPC - \u00c9cole nationale des ponts et chauss\u00e9es (\u00c9cole nationale des ponts et chauss\u00e9es, 6-8 avenue Blaise-Pascal, Cit\u00e9 Descartes, Champs-sur-Marne, 77455 Marne-la-Vall\u00e9e cedex 2 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole des Ponts ParistechMarne-la-Vall\u00e9e, France","institution_ids":["https://openalex.org/I142631665"]},{"raw_affiliation_string":"ENPC - \u00c9cole nationale des ponts et chauss\u00e9es (\u00c9cole nationale des ponts et chauss\u00e9es, 6-8 avenue Blaise-Pascal, Cit\u00e9 Descartes, Champs-sur-Marne, 77455 Marne-la-Vall\u00e9e cedex 2 - France)","institution_ids":["https://openalex.org/I142631665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107119089","display_name":"Vincent Nozick","orcid":null},"institutions":[{"id":"https://openalex.org/I176979517","display_name":"International Research Center for Japanese Studies","ror":"https://ror.org/04861vz74","country_code":"JP","type":"education","lineage":["https://openalex.org/I1319490839","https://openalex.org/I176979517","https://openalex.org/I4210148627"]},{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]},{"id":"https://openalex.org/I4387152154","display_name":"Japanese-French Laboratory for Informatics","ror":"https://ror.org/007xn7v02","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I203951103","https://openalex.org/I39804081","https://openalex.org/I4387152154","https://openalex.org/I74801974"]}],"countries":["FR","JP"],"is_corresponding":false,"raw_author_name":"Vincent Nozick","raw_affiliation_strings":["LIGM, UMR 8049, UPEM, France","LIGM - Laboratoire d'Informatique Gaspard-Monge (Universit\u00e9 Gustave Eiffel, Cit\u00e9 Descartes, B\u00e2timent Copernic, 5 bd Descartes, 77454 Marne-la-Vall\u00e9e Cedex 2 - France)","JFLI - Japanese French Laboratory for Informatics (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIGM, UMR 8049, UPEM, France","institution_ids":["https://openalex.org/I4210152518","https://openalex.org/I4210154111"]},{"raw_affiliation_string":"LIGM - Laboratoire d'Informatique Gaspard-Monge (Universit\u00e9 Gustave Eiffel, Cit\u00e9 Descartes, B\u00e2timent Copernic, 5 bd Descartes, 77454 Marne-la-Vall\u00e9e Cedex 2 - France)","institution_ids":["https://openalex.org/I4210152518","https://openalex.org/I4210154111"]},{"raw_affiliation_string":"JFLI - Japanese French Laboratory for Informatics (Japan)","institution_ids":["https://openalex.org/I176979517","https://openalex.org/I4387152154"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007639385","display_name":"Junichi Yamagishi","orcid":"https://orcid.org/0000-0003-2752-3955"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junichi Yamagishi","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan","NII - National Institute of Informatics (2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 - Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"NII - National Institute of Informatics (2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 - Japan)","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044556342","display_name":"Isao Echizen","orcid":"https://orcid.org/0000-0003-4908-1860"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Isao Echizen","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan","NII - National Institute of Informatics (2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 - Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"NII - National Institute of Informatics (2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 - Japan)","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1723,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9969000220298767,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8390777111053467},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6893253922462463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6308537125587463},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5898084044456482},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5399366617202759},{"id":"https://openalex.org/keywords/mesoscopic-physics","display_name":"Mesoscopic physics","score":0.5243846774101257},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43597376346588135},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4352276921272278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8390777111053467},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6893253922462463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6308537125587463},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5898084044456482},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5399366617202759},{"id":"https://openalex.org/C177731217","wikidata":"https://www.wikidata.org/wiki/Q2622244","display_name":"Mesoscopic physics","level":2,"score":0.5243846774101257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43597376346588135},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4352276921272278},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wifs.2018.8630761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2018.8630761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1809.00888","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.00888","pdf_url":"https://arxiv.org/pdf/1809.00888","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"pmh:oai:HAL:hal-01867298v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01867298","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WIFS 2018, Dec 2018, Hong Kong, China. pp.26.1-26.7, ⟨10.1109/WIFS.2018.8630761⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1809.00888","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.00888","pdf_url":"https://arxiv.org/pdf/1809.00888","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":[{"score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1482176641","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W2012889512","https://openalex.org/W2070206390","https://openalex.org/W2080277992","https://openalex.org/W2093512257","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2106609510","https://openalex.org/W2115252128","https://openalex.org/W2124533786","https://openalex.org/W2155319953","https://openalex.org/W2155501207","https://openalex.org/W2163605009","https://openalex.org/W2164598857","https://openalex.org/W2176640468","https://openalex.org/W2301937176","https://openalex.org/W2406220617","https://openalex.org/W2412509443","https://openalex.org/W2486034530","https://openalex.org/W2531409750","https://openalex.org/W2572561073","https://openalex.org/W2739355501","https://openalex.org/W2743750471","https://openalex.org/W2786289897","https://openalex.org/W2794857359","https://openalex.org/W2906447902","https://openalex.org/W2949117887","https://openalex.org/W2963443560","https://openalex.org/W2963840672","https://openalex.org/W2964077901","https://openalex.org/W2964121744","https://openalex.org/W4297613992","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6677618333","https://openalex.org/W6684191040","https://openalex.org/W6685531832","https://openalex.org/W6696085341","https://openalex.org/W6714003034","https://openalex.org/W6741242808","https://openalex.org/W6750385239"],"related_works":["https://openalex.org/W2790535609","https://openalex.org/W5012203","https://openalex.org/W1995574656","https://openalex.org/W97316223","https://openalex.org/W4240653033","https://openalex.org/W2534474591","https://openalex.org/W4256412014","https://openalex.org/W2366448304","https://openalex.org/W2322473156","https://openalex.org/W4311360467"],"abstract_inverted_index":{"This":[0],"paper":[1,52],"presents":[2,59],"a":[3,54,64,88,99],"method":[4],"to":[5,22,39,42,69],"automatically":[6],"and":[7,14,28,58,87,110],"efficiently":[8],"detect":[9],"face":[10],"tampering":[11],"in":[12],"videos,":[13],"particularly":[15],"focuses":[16],"on":[17,71,82],"two":[18,60],"recent":[19],"techniques":[20,33],"used":[21],"generate":[23],"hyper-realistic":[24],"forged":[25],"videos:":[26],"Deepfake":[27,109],"Face2Face.":[29,113],"Traditional":[30],"image":[31],"forensics":[32],"are":[34],"usually":[35],"not":[36],"well":[37],"suited":[38],"videos":[40],"due":[41],"the":[43,48,72],"compression":[44],"that":[45],"strongly":[46],"degrades":[47],"data.":[49],"Thus,":[50],"this":[51],"follows":[53],"deep":[55],"learning":[56],"approach":[57],"networks,":[61],"both":[62,83],"with":[63,104],"low":[65],"number":[66],"of":[67,75],"layers":[68],"focus":[70],"mesoscopic":[73],"properties":[74],"images.":[76],"We":[77],"evaluate":[78],"those":[79],"fast":[80],"networks":[81],"an":[84],"existing":[85],"dataset":[86,89],"we":[90],"have":[91],"constituted":[92],"from":[93],"online":[94],"videos.":[95],"The":[96],"tests":[97],"demonstrate":[98],"very":[100],"successful":[101],"detection":[102],"rate":[103],"more":[105],"than":[106],"98%":[107],"for":[108,112],"95%":[111]},"counts_by_year":[{"year":2026,"cited_by_count":146},{"year":2025,"cited_by_count":369},{"year":2024,"cited_by_count":281},{"year":2023,"cited_by_count":291},{"year":2022,"cited_by_count":223},{"year":2021,"cited_by_count":225},{"year":2020,"cited_by_count":146},{"year":2019,"cited_by_count":37},{"year":2018,"cited_by_count":5}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}