{"id":"https://openalex.org/W4387968553","doi":"https://doi.org/10.1145/3581783.3612531","title":"Cross-Illumination Video Anomaly Detection Benchmark","display_name":"Cross-Illumination Video Anomaly Detection Benchmark","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968553","doi":"https://doi.org/10.1145/3581783.3612531"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612531","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5046547557","display_name":"Dongliang Zhu","orcid":"https://orcid.org/0000-0001-7967-8882"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongliang Zhu","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7967-8882","affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008406199","display_name":"Ruimin Hu","orcid":"https://orcid.org/0000-0002-5872-3872"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Hu","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5872-3872","affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103176394","display_name":"Shengli Song","orcid":"https://orcid.org/0009-0001-6526-2293"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Song","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0001-6526-2293","affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073335030","display_name":"Xiang Guo","orcid":"https://orcid.org/0000-0002-7047-2690"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Guo","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7047-2690","affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102930209","display_name":"Xixi Li","orcid":"https://orcid.org/0000-0002-3527-4314"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xixi Li","raw_affiliation_strings":["China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3527-4314","affiliations":[{"raw_affiliation_string":"China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401164","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0003-3846-9157"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3846-9157","affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2516","last_page":"2525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9861000180244446,"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/anomaly-detection","display_name":"Anomaly detection","score":0.8527573347091675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7700499296188354},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7540654540061951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6195616126060486},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5512679815292358},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.542181134223938},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5096609592437744},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5017681121826172},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.437539279460907},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4201367199420929},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3825529217720032},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0656794011592865}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8527573347091675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700499296188354},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7540654540061951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6195616126060486},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5512679815292358},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.542181134223938},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5096609592437744},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5017681121826172},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.437539279460907},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4201367199420929},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3825529217720032},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0656794011592865},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612531","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1277095569","display_name":null,"funder_award_id":"19ZDA113","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"},{"id":"https://openalex.org/G2396767952","display_name":null,"funder_award_id":"U1736206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4864870757","display_name":null,"funder_award_id":"19ZDA113","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"},{"id":"https://openalex.org/G5302744849","display_name":null,"funder_award_id":"U22A2035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6027308568","display_name":null,"funder_award_id":"19ZDA113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6184863617","display_name":null,"funder_award_id":"U22A201181","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8570679527","display_name":null,"funder_award_id":"U1803262","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/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1931450083","https://openalex.org/W1967456674","https://openalex.org/W1987444808","https://openalex.org/W2015461918","https://openalex.org/W2054814429","https://openalex.org/W2097363716","https://openalex.org/W2139375301","https://openalex.org/W2155763684","https://openalex.org/W2163612318","https://openalex.org/W2254039850","https://openalex.org/W2341058432","https://openalex.org/W2566376500","https://openalex.org/W2753526808","https://openalex.org/W2777342313","https://openalex.org/W2925312408","https://openalex.org/W2944108536","https://openalex.org/W2960737790","https://openalex.org/W2962791923","https://openalex.org/W2963046013","https://openalex.org/W2963061824","https://openalex.org/W2963541464","https://openalex.org/W2963610939","https://openalex.org/W2981576453","https://openalex.org/W2987146532","https://openalex.org/W2987228832","https://openalex.org/W3034292309","https://openalex.org/W3035240825","https://openalex.org/W3035475530","https://openalex.org/W3035731588","https://openalex.org/W3100507239","https://openalex.org/W3119456559","https://openalex.org/W3121661546","https://openalex.org/W3161732772","https://openalex.org/W3168984673","https://openalex.org/W3177187266","https://openalex.org/W3199334903","https://openalex.org/W3202590754","https://openalex.org/W3207605004","https://openalex.org/W3215386047","https://openalex.org/W4212815771","https://openalex.org/W4225641729","https://openalex.org/W4226265242","https://openalex.org/W4295129818","https://openalex.org/W4308238078","https://openalex.org/W4312249431"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Video":[0,40],"anomaly":[1,22,61,76,138],"detection":[2,23,77,139,151],"is":[3,36,154],"a":[4,69,123],"critical":[5],"problem":[6,112],"with":[7,122],"widespread":[8,43],"applications":[9],"in":[10,30],"domains":[11],"such":[12],"as":[13],"security":[14],"surveillance.":[15],"Most":[16],"existing":[17,148],"methods":[18,149],"focus":[19],"on":[20,134],"video":[21,75,137],"tasks":[24],"under":[25,47,83],"uniform":[26],"illumination":[27,49,85,90,110,127],"conditions.":[28],"However,":[29],"the":[31,34,55,73,88,109],"real":[32],"world,":[33],"situation":[35],"much":[37],"more":[38,155],"complicated.":[39],"anomalies":[41],"are":[42],"across":[44],"periods":[45],"and":[46,101,113,153],"different":[48,84],"conditions,":[50],"which":[51],"can":[52],"lead":[53],"to":[54,87,107],"detector":[56],"model":[57],"incorrectly":[58],"reporting":[59],"high":[60],"scores.":[62],"To":[63],"address":[64],"this":[65],"challenge,":[66],"we":[67,117],"design":[68],"benchmark":[70],"framework":[71,80],"for":[72],"cross-illumination":[74],"task.":[78],"The":[79],"restores":[81],"videos":[82,100],"scales":[86],"same":[89],"scale.":[91],"This":[92],"reduces":[93],"domain":[94],"differences":[95],"between":[96],"uniformly":[97],"illuminated":[98,103],"training":[99],"differently":[102],"test":[104],"videos.":[105],"Additionally,":[106],"demonstrate":[108],"change":[111],"evaluate":[114],"our":[115,132,145],"model,":[116],"construct":[118],"three":[119,135],"large-scale":[120],"datasets":[121],"wide":[124],"range":[125],"of":[126],"variations.":[128],"We":[129],"experimentally":[130],"validate":[131],"approach":[133],"cross-illuminance":[136],"datasets.":[140],"Experimental":[141],"results":[142],"show":[143],"that":[144],"method":[146],"outperforms":[147],"regarding":[150],"accuracy":[152],"robust.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}