{"id":"https://openalex.org/W4410342718","doi":"https://doi.org/10.1109/tbiom.2025.3569645","title":"Frequency-Assisted Temporal Upsampling Artifacts Representation Learning for Face Forgery Detection","display_name":"Frequency-Assisted Temporal Upsampling Artifacts Representation Learning for Face Forgery Detection","publication_year":2025,"publication_date":"2025-05-13","ids":{"openalex":"https://openalex.org/W4410342718","doi":"https://doi.org/10.1109/tbiom.2025.3569645"},"language":"en","primary_location":{"id":"doi:10.1109/tbiom.2025.3569645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2025.3569645","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","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/A5027242644","display_name":"Rui Sun","orcid":"https://orcid.org/0000-0002-1547-161X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Sun","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-1547-161X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaolu Yu","orcid":"https://orcid.org/0009-0005-6600-6151"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolu Yu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0005-6600-6151","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101671972","display_name":"Fei Wang","orcid":"https://orcid.org/0009-0008-2302-7974"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061831587","display_name":"Zikai Da","orcid":"https://orcid.org/0000-0003-0302-5898"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikai Da","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0302-5898","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642316","display_name":"Yifan Zhang","orcid":"https://orcid.org/0000-0001-8474-1268"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Zhang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015428381","display_name":"Jun Gao","orcid":"https://orcid.org/0000-0003-3735-3371"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Gao","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07227562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"4","first_page":"728","last_page":"739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T10828","display_name":"Biometric Identification and Security","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9527000188827515,"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/upsampling","display_name":"Upsampling","score":0.9016156792640686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375285387039185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6220300197601318},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.581647515296936},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5272889733314514},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4977014362812042},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46016475558280945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4098988175392151},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1299830675125122},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.0843609869480133},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.05333226919174194}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.9016156792640686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375285387039185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6220300197601318},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.581647515296936},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5272889733314514},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4977014362812042},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46016475558280945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4098988175392151},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1299830675125122},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0843609869480133},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.05333226919174194},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbiom.2025.3569645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2025.3569645","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5553660057","display_name":null,"funder_award_id":"202004d07020012","funder_id":"https://openalex.org/F4320327424","funder_display_name":"Research Foundation for Opto-Science and Technology"},{"id":"https://openalex.org/G8204852608","display_name":null,"funder_award_id":"2022M720981","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8982490873","display_name":null,"funder_award_id":"61876057","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320327424","display_name":"Research Foundation for Opto-Science and Technology","ror":"https://ror.org/01fvvv243"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2341528187","https://openalex.org/W2616247523","https://openalex.org/W2986734719","https://openalex.org/W2997403210","https://openalex.org/W3048932886","https://openalex.org/W3092997524","https://openalex.org/W3103343932","https://openalex.org/W3108854358","https://openalex.org/W3139060449","https://openalex.org/W3158353280","https://openalex.org/W3174508664","https://openalex.org/W3174656926","https://openalex.org/W3207340843","https://openalex.org/W3207531490","https://openalex.org/W4221149434","https://openalex.org/W4226024856","https://openalex.org/W4283802557","https://openalex.org/W4293812058","https://openalex.org/W4385876063","https://openalex.org/W4386596913","https://openalex.org/W4387968020","https://openalex.org/W4388937529","https://openalex.org/W4399167970"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W4310746709","https://openalex.org/W4386075645","https://openalex.org/W4385574037","https://openalex.org/W4306309518","https://openalex.org/W4286967710"],"abstract_inverted_index":{"Recently,":[0],"the":[1,8,15,66,76,94,110,118,131,140,153,168,173,191,225],"highly":[2],"realistic":[3],"deepfake":[4,11,23],"images":[5],"have":[6],"aroused":[7],"potential":[9],"for":[10,62],"abuse,":[12],"and":[13,17,34,114,129,152,163,184,205,228],"both":[14,202],"detection":[16,25,141,206,218],"its":[18],"generalization":[19],"remain":[20],"challenging.":[21],"Existing":[22],"video":[24,48,217],"methods":[26,219],"strive":[27],"to":[28,160,180],"capture":[29,84],"distinguishing":[30],"features":[31,200],"between":[32,46,112],"fake":[33],"real":[35],"faces":[36],"through":[37],"temporal":[38,143],"modeling.":[39],"However,":[40],"these":[41],"works":[42],"provide":[43],"local":[44],"supervision":[45],"sampled":[47],"frames,":[49],"but":[50],"overlook":[51],"intra-frame":[52,122],"generative":[53],"artifacts,":[54,80],"which":[55,81,100,137],"can":[56,82,138,197],"function":[57],"as":[58],"an":[59],"useful":[60],"indicators":[61],"detection.":[63],"To":[64],"mitigate":[65],"issue,":[67],"we":[68,92,116],"propose":[69],"a":[70,186,221],"temporal-frequential":[71],"convolutional":[72],"network":[73],"based":[74,108],"on":[75,109,224],"representation":[77,87],"of":[78,121,142],"upsampling":[79,102],"automatically":[83,166],"incoherent":[85],"artifacts":[86,103],"in":[88,105,145,167,201,230],"different":[89],"ends.":[90],"Specifically,":[91],"design":[93,130],"Upsampling":[95],"Artifacts":[96],"Representation":[97],"Module":[98,135,156,176],"(UARM),":[99],"captures":[101],"introduced":[104],"generation":[106,203],"end":[107,204],"relationship":[111],"pixels,":[113],"then":[115],"probe":[117],"deep":[119],"coupling":[120],"global":[123],"frequency":[124,149],"information":[125,144,162,183],"with":[126],"inter-frame":[127],"incoherence,":[128],"Frequency-Assisted":[132],"Temporal":[133],"Incoherence":[134],"(FATIM),":[136],"facilitate":[139],"RGB":[146],"domain":[147,150],"by":[148,220],"information,":[151],"Self-tuned":[154],"Convolutions":[155],"(SCM)":[157],"is":[158,178],"designed":[159,179],"supplement":[161],"adjust":[164],"it":[165],"learning":[169],"process.":[170],"In":[171],"addition,":[172],"Information":[174],"Fusion":[175],"(IFM)":[177],"couple":[181],"multiple":[182],"establish":[185],"more":[187],"comprehensive":[188],"representation.":[189],"With":[190],"above":[192],"modules,":[193],"our":[194,212],"proposed":[195],"method":[196,213],"learn":[198],"robust":[199],"end.":[207],"Extensive":[208],"experiments":[209],"demonstrate":[210],"that":[211],"outperforms":[214],"other":[215],"state-of-the-art":[216],"large":[222],"margin":[223],"challenging":[226],"DFDC":[227],"FF++":[229],"low-quality.":[231]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
