{"id":"https://openalex.org/W4408352020","doi":"https://doi.org/10.1109/icassp49660.2025.10887844","title":"CPL: Curriculum Pseudo Labeling for Weakly Supervised Temporal Forgery Localization","display_name":"CPL: Curriculum Pseudo Labeling for Weakly Supervised Temporal Forgery Localization","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352020","doi":"https://doi.org/10.1109/icassp49660.2025.10887844"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Dijia Zhang","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dijia Zhang","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087844349","display_name":"Mingqi Fang","orcid":"https://orcid.org/0000-0002-1513-666X"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqi Fang","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012931628","display_name":"Zhiying Lu","orcid":"https://orcid.org/0000-0002-1720-7193"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiying Lu","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101436839","display_name":"Hongtao Xie","orcid":"https://orcid.org/0000-0002-0163-9434"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Xie","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.953499972820282,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.953499972820282,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6642528176307678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5034970641136169},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.44477060437202454},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13549214601516724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6642528176307678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5034970641136169},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.44477060437202454},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13549214601516724},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1927052826","https://openalex.org/W2296073425","https://openalex.org/W2507009361","https://openalex.org/W2560886373","https://openalex.org/W2604260814","https://openalex.org/W2963393555","https://openalex.org/W2963608065","https://openalex.org/W3093077034","https://openalex.org/W3097664769","https://openalex.org/W3109715102","https://openalex.org/W3118479201","https://openalex.org/W3174421047","https://openalex.org/W3174508664","https://openalex.org/W3178572954","https://openalex.org/W3207927851","https://openalex.org/W4205203579","https://openalex.org/W4214691743","https://openalex.org/W4283817039","https://openalex.org/W4298053201","https://openalex.org/W4304015019","https://openalex.org/W4304092233","https://openalex.org/W4312421085","https://openalex.org/W4319978495","https://openalex.org/W4367146821","https://openalex.org/W4386071527","https://openalex.org/W4386272941","https://openalex.org/W4387195417","https://openalex.org/W4387999491","https://openalex.org/W4390872976","https://openalex.org/W4392903505","https://openalex.org/W6797657831"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"forgery":[1,4,47,170],"detection,":[2],"temporal":[3,18],"localization":[5],"offers":[6],"a":[7,71,109,127,150,184],"more":[8,16],"nuanced":[9],"perspective":[10],"than":[11],"binary":[12],"detection":[13],"by":[14,92,156],"providing":[15],"precise":[17],"boundaries":[19],"of":[20,36,61,89,95,165],"manipulations.":[21],"However,":[22,76],"its":[23],"need":[24],"for":[25,55,74,138],"frame-wise":[26,62],"annotations":[27,63],"limits":[28],"real-world":[29],"practicality.":[30],"Therefore,":[31],"we":[32,148,159],"present":[33],"the":[34,59,93,136,161,193],"task":[35],"Weakly":[37],"Supervised":[38],"Temporal":[39],"Forgery":[40],"Localization":[41],"(WS-TFL),":[42],"which":[43],"aims":[44],"to":[45,87,114,134,192],"localize":[46],"segments":[48],"in":[49,64,98,117,189],"videos":[50],"given":[51],"only":[52],"video-level":[53],"labels":[54,78,133,144],"training.":[56],"To":[57,141],"tackle":[58],"absence":[60],"weakly":[65],"supervised":[66],"settings,":[67],"pseudo-label":[68,121],"learning":[69,97,122,151,163],"presents":[70],"viable":[72],"solution":[73],"WS-TFL.":[75],"pseudo":[77,118,132,143],"often":[79],"suffer":[80],"from":[81,126],"inaccuracy":[82],"(i.e.":[83],"contain":[84],"noise)":[85],"due":[86],"lack":[88],"supervision.":[90],"Inspired":[91],"ability":[94],"curriculum":[96,152],"handling":[99],"noisy":[100],"data,":[101],"this":[102],"work":[103],"proposes":[104],"Curriculum":[105],"Pseudo":[106],"Labeling":[107],"(CPL),":[108],"simple":[110],"yet":[111],"effective":[112],"strategy":[113],"address":[115],"noise":[116],"labels.":[119],"Specifically,":[120],"leverages":[123],"proposals":[124],"generated":[125],"base":[128],"model":[129,137],"as":[130],"coarse":[131],"retrain":[135],"better":[139],"performance.":[140],"refine":[142],"and":[145,167,186,198],"reduce":[146],"noise,":[147],"design":[149],"that":[153,175],"ranks":[154],"them":[155],"quality,":[157],"where":[158],"analyze":[160],"multiple-instance":[162],"essence":[164],"WS-TFL":[166],"further":[168],"introduce":[169],"prior":[171],"knowledge.":[172],"Experiments":[173],"show":[174],"CPL":[176],"consistently":[177],"improves":[178],"performance":[179],"across":[180],"different":[181],"baselines,":[182],"with":[183],"35.24%":[185],"27.63%":[187],"increase":[188],"average":[190],"precision":[191],"default":[194],"baseline":[195],"on":[196],"Lav-DF":[197],"TVIL":[199],"datasets,":[200],"respectively.":[201]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}