{"id":"https://openalex.org/W4417073392","doi":"https://doi.org/10.1145/3743093.3770998","title":"TriDet-MLLM: Triple-Feature Fusion Prompt Learning for AI-Generated Image Detection","display_name":"TriDet-MLLM: Triple-Feature Fusion Prompt Learning for AI-Generated Image Detection","publication_year":2025,"publication_date":"2025-12-06","ids":{"openalex":"https://openalex.org/W4417073392","doi":"https://doi.org/10.1145/3743093.3770998"},"language":null,"primary_location":{"id":"doi:10.1145/3743093.3770998","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3743093.3770998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-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":null,"display_name":"Yichen Liu","orcid":"https://orcid.org/0009-0001-8247-4634"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yichen Liu","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0001-8247-4634","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinqi Zhang","orcid":"https://orcid.org/0009-0008-4025-751X"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqi Zhang","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0008-4025-751X","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuchen Zhou","orcid":"https://orcid.org/0009-0000-9387-1857"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Zhou","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0000-9387-1857","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101636691","display_name":"Rongsheng Li","orcid":"https://orcid.org/0000-0003-4597-1583"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongsheng Li","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-4597-1583","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027083552","display_name":"Yanxia Wu","orcid":"https://orcid.org/0000-0001-8384-9234"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxia Wu","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8384-9234","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018710096","display_name":"Qiao Tian","orcid":"https://orcid.org/0000-0001-8177-7724"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Tian","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8177-7724","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101739425","display_name":"Feng Shang","orcid":"https://orcid.org/0000-0003-1630-4044"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shang Feng","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1630-4044","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38092541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.2775000035762787,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.2775000035762787,"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":0.05559999868273735,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.04749999940395355,"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/image","display_name":"Image (mathematics)","score":0.6638000011444092},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6563000082969666},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6089000105857849},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6061000227928162},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5306000113487244},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5206000208854675},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5156000256538391},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.48590001463890076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45489999651908875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718500018119812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7146000266075134},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6638000011444092},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6563000082969666},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6089000105857849},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6061000227928162},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5306000113487244},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5206000208854675},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5156000256538391},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.48590001463890076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45489999651908875},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4521999955177307},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4512999951839447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3970000147819519},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.38429999351501465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3806999921798706},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.35749998688697815},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.35530000925064087},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2928999960422516},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.258899986743927},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3743093.3770998","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3743093.3770998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2962770929","https://openalex.org/W4312388283","https://openalex.org/W4312933868","https://openalex.org/W4383959108","https://openalex.org/W4390873235","https://openalex.org/W4391152315","https://openalex.org/W4396598438","https://openalex.org/W4397024186","https://openalex.org/W4402667011","https://openalex.org/W4402727598","https://openalex.org/W4404275754"],"related_works":[],"abstract_inverted_index":{"The":[0,187],"proliferation":[1],"and":[2,13,54,112,114,140,184],"advancement":[3],"of":[4,85,104,165,226],"generative":[5],"AI":[6],"tools":[7],"blur":[8],"the":[9,83,86,102,118,169,175,179,224],"boundaries":[10],"between":[11],"authentic":[12],"AI-synthesized":[14],"imagery,":[15],"sparking":[16],"widespread":[17],"public":[18],"concern":[19],"about":[20],"visual":[21],"content":[22],"authenticity.":[23],"While":[24],"existing":[25],"AI-generated":[26,90,105,210],"image":[27,52,120,211],"detection":[28],"approaches":[29],"have":[30],"demonstrated":[31],"notable":[32],"achievements,":[33],"Multimodal":[34],"Large":[35],"Language":[36],"Models":[37],"(MLLMs)":[38],"remain":[39],"relatively":[40],"underutilized":[41],"in":[42,50,88,204,209],"this":[43,69],"field.":[44],"As":[45],"MLLMs":[46,87,200],"show":[47],"strong":[48],"abilities":[49],"understanding":[51],"features":[53],"can":[55],"provide":[56],"high-quality":[57],"textual":[58],"analysis,":[59],"substantial":[60,202],"potential":[61,84,203],"within":[62],"MLLM":[63,99,176],"itself":[64],"remains":[65],"well":[66],"explored.":[67],"In":[68],"work,":[70],"we":[71,149,161],"propose":[72],"a":[73,94,129,144,163],"novel":[74],"triple-feature":[75],"fusion":[76,131],"prompt":[77,95],"learning":[78],"framework":[79],"to":[80,100,122,152,173,177,194],"effectively":[81],"stimulate":[82],"detecting":[89],"images.":[91],"We":[92,126],"build":[93],"structure":[96],"that":[97,133,199],"allows":[98],"analyze":[101],"inauthenticity":[103],"images":[106,181],"from":[107],"different":[108],"perspectives,":[109],"both":[110],"locally":[111],"globally,":[113],"ask":[115],"questions":[116],"on":[117,168],"generated":[119],"dataset":[121],"obtain":[123],"open-ended":[124],"answers.":[125],"then":[127],"design":[128],"triple":[130],"encoder":[132],"combines":[134],"semantic":[135],"features,":[136],"structured":[137],"knowledge":[138],"representation":[139],"fine-grained":[141],"modifications.":[142],"Through":[143],"hierarchical":[145],"feature":[146,155,171],"induction":[147],"mechanism,":[148],"were":[150],"able":[151],"construct":[153],"multidimensional":[154],"sets":[156,172],"with":[157],"interpretive":[158],"properties.":[159],"Then,":[160],"compose":[162],"set":[164],"prompts":[166],"based":[167],"obtained":[170],"guide":[174],"discriminate":[178],"input":[180],"under":[182],"global":[183],"partial":[185],"strategies.":[186],"test":[188],"result":[189],"shows":[190],"prominent":[191],"improvement":[192],"compared":[193],"direct":[195],"inquiry":[196],"approaches,":[197],"suggesting":[198],"demonstrate":[201],"no":[205],"need":[206],"for":[207],"fine-tuning":[208],"detection.":[212],"This":[213],"work":[214],"will":[215],"drive":[216],"future":[217],"research":[218],"toward":[219],"prompt-based":[220],"methods,":[221],"further":[222],"expanding":[223],"capabilities":[225],"MLLMs.":[227]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-06T00:00:00"}