{"id":"https://openalex.org/W4413278003","doi":"https://doi.org/10.1109/icip55913.2025.11084327","title":"GTA-Crime: A Synthetic Dataset and Generation Framework for Fatal Violence Detection with Adversarial Snippet-Level Domain Adaptation","display_name":"GTA-Crime: A Synthetic Dataset and Generation Framework for Fatal Violence Detection with Adversarial Snippet-Level Domain Adaptation","publication_year":2025,"publication_date":"2025-08-18","ids":{"openalex":"https://openalex.org/W4413278003","doi":"https://doi.org/10.1109/icip55913.2025.11084327"},"language":"en","primary_location":{"id":"doi:10.1109/icip55913.2025.11084327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip55913.2025.11084327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing (ICIP)","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":"https://openalex.org/A5100649755","display_name":"Seong-Ho Kim","orcid":"https://orcid.org/0000-0002-9288-3343"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongho Kim","raw_affiliation_strings":["Hanyang University,Department of Electrical Engineering,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University,Department of Electrical Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sejong Ryu","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sejong Ryu","raw_affiliation_strings":["Hanyang University,Electronic Engineering,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University,Electronic Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hyoukjun You","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyoukjun You","raw_affiliation_strings":["Hanyang University,AI Semiconductor Engineering,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University,AI Semiconductor Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084061701","display_name":"Je Hyeong Hong","orcid":"https://orcid.org/0000-0003-2797-553X"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Je Hyeong Hong","raw_affiliation_strings":["Hanyang University,Electronic Engineering,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University,Electronic Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16939014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9778000116348267,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9778000116348267,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9699000120162964,"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/snippet","display_name":"Snippet","score":0.9031239748001099},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6605952382087708},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6487261056900024},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6409403085708618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6251411437988281},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5331344604492188},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3576740026473999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3449576497077942},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.11999508738517761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09377461671829224},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08250871300697327}],"concepts":[{"id":"https://openalex.org/C2777822670","wikidata":"https://www.wikidata.org/wiki/Q1120538","display_name":"Snippet","level":2,"score":0.9031239748001099},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6605952382087708},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6487261056900024},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6409403085708618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6251411437988281},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5331344604492188},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3576740026473999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3449576497077942},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.11999508738517761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09377461671829224},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08250871300697327},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip55913.2025.11084327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip55913.2025.11084327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2935858441","https://openalex.org/W2963524571","https://openalex.org/W2963795951","https://openalex.org/W2997957041","https://openalex.org/W3081125129","https://openalex.org/W3089682612","https://openalex.org/W3134811570","https://openalex.org/W3136793533","https://openalex.org/W3212899624","https://openalex.org/W4382461973","https://openalex.org/W4382464562","https://openalex.org/W4386597062","https://openalex.org/W4390889811","https://openalex.org/W4393153999"],"related_works":["https://openalex.org/W1607713096","https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,14,35],"video":[3,46],"anomaly":[4,47],"detection":[5,150],"(VAD)":[6],"have":[7],"enabled":[8],"identification":[9],"of":[10,81,89,101],"various":[11],"criminal":[12],"activities":[13],"surveillance":[15],"videos,":[16],"but":[17],"detecting":[18],"fatal":[19,45,61,148],"incidents":[20],"such":[21,63,90],"as":[22,64],"shootings":[23,65],"and":[24,32,49,66,83,123,134,154],"stabbings":[25],"remains":[26],"difficult":[27],"due":[28],"to":[29,115],"their":[30],"rarity":[31,88],"ethical":[33],"issues":[34],"data":[36,156],"collection.":[37],"Recognizing":[38],"this":[39],"limitation,":[40],"we":[41,92,104],"introduce":[42],"GTA-Crime,":[43],"a":[44,95,106],"dataset":[48,59,133,153],"generation":[50,157],"framework":[51,96,158],"using":[52,111],"Grand":[53],"Theft":[54],"Auto":[55],"5":[56],"(GTA5).":[57],"Our":[58,152],"contains":[60],"situations":[62],"stabbings,":[67],"captured":[68],"from":[69],"CCTV":[70],"multiview":[71],"perspectives":[72],"under":[73],"diverse":[74],"conditions":[75],"including":[76],"action":[77],"types,":[78],"weather,":[79],"time":[80],"day,":[82],"viewpoints.":[84],"To":[85],"address":[86],"the":[87,117,155],"scenarios,":[91],"also":[93],"release":[94],"for":[97],"generating":[98],"these":[99],"types":[100],"videos.":[102],"Additionally,":[103],"propose":[105],"snippet-level":[107],"domain":[108,141],"adaptation":[109,142],"strategy":[110,143],"Wasserstein":[112],"adversarial":[113],"training":[114],"bridge":[116],"gap":[118],"between":[119],"synthetic":[120],"GTA-Crime":[121,132,138],"features":[122,125],"real-world":[124],"like":[126],"UCF-Crime.":[127],"Experimental":[128],"results":[129],"validate":[130],"our":[131,140],"demonstrate":[135],"that":[136],"incorporating":[137],"with":[139],"consistently":[144],"enhances":[145],"real":[146],"world":[147],"violence":[149],"accuracy.":[151],"are":[159],"publicly":[160],"available":[161],"at":[162],"https://github.com/ta-ho/GTA-Crime.":[163]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}