{"id":"https://openalex.org/W4290994941","doi":"https://doi.org/10.1109/tifs.2022.3198275","title":"Hierarchical Frequency-Assisted Interactive Networks for Face Manipulation Detection","display_name":"Hierarchical Frequency-Assisted Interactive Networks for Face Manipulation Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4290994941","doi":"https://doi.org/10.1109/tifs.2022.3198275"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2022.3198275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2022.3198275","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077867418","display_name":"Changtao Miao","orcid":"https://orcid.org/0000-0002-7634-9992"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"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/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changtao Miao","raw_affiliation_strings":["Institute of Deep Learning (IDL), Baidu Research, Beijing, China","School of Cyber Science and Technology, University of Science and Technology of China, China","Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Institute of Deep Learning (IDL), Baidu Research, Beijing, China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"School of Cyber Science and Technology, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040257967","display_name":"Zichang Tan","orcid":"https://orcid.org/0000-0002-8501-4123"},"institutions":[{"id":"https://openalex.org/I4210129579","display_name":"National Engineering Laboratory of Deep Learning Technology and Application","ror":"https://ror.org/03z8p5796","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129579"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zichang Tan","raw_affiliation_strings":["Institute of Deep Learning (IDL), Baidu Research, Beijing, China","National Engineering Laboratory for Deep Learning Technology and Application, China"],"affiliations":[{"raw_affiliation_string":"Institute of Deep Learning (IDL), Baidu Research, Beijing, China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"National Engineering Laboratory for Deep Learning Technology and Application, China","institution_ids":["https://openalex.org/I4210129579"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045938154","display_name":"Qi Chu","orcid":"https://orcid.org/0000-0003-3028-0755"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Chu","raw_affiliation_strings":["School of Cyber Science and Technology, University of Science and Technology of China, Hefei, China","Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064573190","display_name":"Nenghai Yu","orcid":"https://orcid.org/0000-0003-4417-9316"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nenghai Yu","raw_affiliation_strings":["School of Cyber Science and Technology, University of Science and Technology of China, Hefei, China","Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085022758","display_name":"Guodong Guo","orcid":"https://orcid.org/0000-0001-9583-0055"},"institutions":[{"id":"https://openalex.org/I4210129579","display_name":"National Engineering Laboratory of Deep Learning Technology and Application","ror":"https://ror.org/03z8p5796","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129579"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Guo","raw_affiliation_strings":["Institute of Deep Learning (IDL), Baidu Research, Beijing, China","National Engineering Laboratory for Deep Learning Technology and Application, China"],"affiliations":[{"raw_affiliation_string":"Institute of Deep Learning (IDL), Baidu Research, Beijing, China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"National Engineering Laboratory for Deep Learning Technology and Application, China","institution_ids":["https://openalex.org/I4210129579"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077867418"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366","https://openalex.org/I98301712"],"apc_list":null,"apc_paid":null,"fwci":8.8813,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.98655364,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"3008","last_page":"3021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9993000030517578,"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/T11448","display_name":"Face recognition and analysis","score":0.9993000030517578,"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":0.9909999966621399,"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/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8839769959449768},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7051830291748047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48024633526802063},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4748264253139496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3297688961029053},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17672070860862732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8839769959449768},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7051830291748047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48024633526802063},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4748264253139496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3297688961029053},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17672070860862732},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2022.3198275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2022.3198275","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G175089312","display_name":null,"funder_award_id":"U20B2047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4260595822","display_name":null,"funder_award_id":"YD3480002001","funder_id":"https://openalex.org/F4320325599","funder_display_name":"University of Science and Technology of China"},{"id":"https://openalex.org/G8557816227","display_name":null,"funder_award_id":"62002336","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/F4320325599","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2009130368","https://openalex.org/W2031614119","https://openalex.org/W2108598243","https://openalex.org/W2132984323","https://openalex.org/W2281375574","https://openalex.org/W2301937176","https://openalex.org/W2412509443","https://openalex.org/W2507009361","https://openalex.org/W2531409750","https://openalex.org/W2603123944","https://openalex.org/W2738406145","https://openalex.org/W2752782242","https://openalex.org/W2786289897","https://openalex.org/W2811414481","https://openalex.org/W2884585870","https://openalex.org/W2891145043","https://openalex.org/W2898877033","https://openalex.org/W2902304528","https://openalex.org/W2904573504","https://openalex.org/W2907295878","https://openalex.org/W2942074357","https://openalex.org/W2962958939","https://openalex.org/W2963043696","https://openalex.org/W2963163009","https://openalex.org/W2963524571","https://openalex.org/W2963684180","https://openalex.org/W2963720850","https://openalex.org/W2982058372","https://openalex.org/W2987809008","https://openalex.org/W2991318208","https://openalex.org/W3034196597","https://openalex.org/W3034214108","https://openalex.org/W3034713808","https://openalex.org/W3034771037","https://openalex.org/W3034900344","https://openalex.org/W3035063907","https://openalex.org/W3048932886","https://openalex.org/W3083246145","https://openalex.org/W3092997524","https://openalex.org/W3093010840","https://openalex.org/W3094728142","https://openalex.org/W3102988878","https://openalex.org/W3108854358","https://openalex.org/W3112815795","https://openalex.org/W3113824005","https://openalex.org/W3120488063","https://openalex.org/W3121127014","https://openalex.org/W3128609017","https://openalex.org/W3137963805","https://openalex.org/W3138516171","https://openalex.org/W3139414251","https://openalex.org/W3143336910","https://openalex.org/W3154326567","https://openalex.org/W3158353280","https://openalex.org/W3160694286","https://openalex.org/W3167695527","https://openalex.org/W3173317327","https://openalex.org/W3174508664","https://openalex.org/W3174572554","https://openalex.org/W3174656926","https://openalex.org/W3174814557","https://openalex.org/W3176196997","https://openalex.org/W3176241004","https://openalex.org/W3177183540","https://openalex.org/W3183999072","https://openalex.org/W3188897163","https://openalex.org/W3191630110","https://openalex.org/W3205959870","https://openalex.org/W3207353304","https://openalex.org/W4206742848","https://openalex.org/W4214666412","https://openalex.org/W4214680478","https://openalex.org/W4235593161","https://openalex.org/W4285044753","https://openalex.org/W4288090950","https://openalex.org/W6739901393","https://openalex.org/W6756046522","https://openalex.org/W6756925667","https://openalex.org/W6757599822","https://openalex.org/W6762718338","https://openalex.org/W6769705151","https://openalex.org/W6769920582","https://openalex.org/W6774957596","https://openalex.org/W6787203647","https://openalex.org/W6788135285","https://openalex.org/W6790220185","https://openalex.org/W6791705549","https://openalex.org/W6796617330","https://openalex.org/W6796767996","https://openalex.org/W6798107787"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Recently,":[0],"face":[1,14,54],"manipulation":[2,15,55],"techniques":[3],"have":[4],"caused":[5],"increasing":[6],"trust":[7],"concerns":[8],"in":[9,93,163,200],"our":[10,194],"society.":[11],"Although":[12],"current":[13],"detection":[16],"methods":[17],"achieve":[18],"impressive":[19],"performance":[20],"regarding":[21],"intra-dataset":[22],"evaluation,":[23],"they":[24],"are":[25,88,177],"struggling":[26],"to":[27,47,66,90,106,146,169],"improve":[28],"the":[29,85,94,120,131,160,167,197],"generalization":[30],"and":[31,73,79,118,189,204],"robustness":[32],"ability.":[33],"To":[34],"address":[35],"this":[36],"issue,":[37],"we":[38,59,137,157],"propose":[39],"a":[40,63,97,140],"novel":[41,98],"Hierarchical":[42],"Frequency-assisted":[43],"Interactive":[44],"Networks":[45],"(HFI-Net)":[46],"explore":[48,171],"comprehensive":[49],"frequency-related":[50],"forgery":[51,116],"cues":[52,117],"for":[53,75],"detection.":[56],"At":[57],"first,":[58],"formulate":[60],"HFI-Net":[61],"as":[62],"dual-branch":[64],"network":[65,168],"take":[67],"full":[68],"advantage":[69],"of":[70,166],"both":[71],"CNN":[72],"transformer":[74],"capturing":[76,151],"local":[77],"details":[78],"global":[80],"context":[81],"information,":[82],"respectively.":[83],"Considering":[84],"forged":[86],"faces":[87],"easy":[89],"show":[91],"flaws":[92],"frequency":[95,127,173],"domain,":[96],"Frequency-based":[99],"Feature":[100],"Refinement":[101],"(FFR)":[102],"module":[103,114,145,162],"is":[104],"proposed":[105],"learn":[107],"frequency-based":[108],"attention":[109],"from":[110],"RGB":[111],"features.":[112],"FFR":[113],"emphasizes":[115],"suppresses":[119],"pristine":[121],"semantics":[122],"information":[123],"by":[124],"keeping":[125],"middle-high":[126],"features":[128],"while":[129,150],"discarding":[130],"low-frequency":[132],"ones.":[133],"Based":[134],"on":[135,179],"FFR,":[136],"further":[138,158],"develop":[139],"co-sharing":[141],"Global-Local":[142],"Interaction":[143],"(GLI)":[144],"conduct":[147],"frequency-assisted":[148],"interactions":[149],"complementarity":[152],"among":[153],"dual":[154],"branches.":[155],"Lastly,":[156],"implement":[159],"GLI":[161],"each":[164],"stage":[165],"effectively":[170],"multi-level":[172],"artifacts.":[174],"Extensive":[175],"experiments":[176],"conducted":[178],"several":[180],"popular":[181],"benchmarks":[182],"including":[183],"FaceForensics++,":[184],"Celeb-DF,":[185],"DeepFake-TIMIT,":[186],"DFDC,":[187],"UADFV,":[188],"DeeperForensics-1.0,":[190],"which":[191],"shows":[192],"that":[193],"model":[195],"outperforms":[196],"state-of-the-art,":[198],"especially":[199],"unseen":[201],"datasets,":[202],"manipulations,":[203],"perturbations":[205],"evaluation.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}