{"id":"https://openalex.org/W4413018302","doi":"https://doi.org/10.1109/fg61629.2025.11099317","title":"Context-Assisted Low-Light Face Detection through Global and Local Image Enhancement","display_name":"Context-Assisted Low-Light Face Detection through Global and Local Image Enhancement","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W4413018302","doi":"https://doi.org/10.1109/fg61629.2025.11099317"},"language":"en","primary_location":{"id":"doi:10.1109/fg61629.2025.11099317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg61629.2025.11099317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","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":"https://openalex.org/A5078423269","display_name":"Xiangyu Miao","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":true,"raw_author_name":"Xiangyu Miao","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China"],"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/A5042752511","display_name":"Caichao 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":"Caichao Zhang","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China"],"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/A5039168974","display_name":"Yanan Chang","orcid":"https://orcid.org/0000-0001-7338-5544"},"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":"Yanan Chang","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China"],"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/A5077046519","display_name":"Shangfei Wang","orcid":"https://orcid.org/0000-0003-1164-9895"},"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":"Shangfei Wang","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China"],"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":4,"corresponding_author_ids":["https://openalex.org/A5078423269"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23216621,"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":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9595000147819519,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9595000147819519,"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/face","display_name":"Face (sociological concept)","score":0.63205885887146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5714996457099915},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5590398907661438},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5464807748794556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5188116431236267},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5114601850509644},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.44987642765045166},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44070783257484436},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.416547954082489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3322662115097046},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09358274936676025}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.63205885887146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5714996457099915},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5590398907661438},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5464807748794556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5188116431236267},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5114601850509644},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.44987642765045166},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44070783257484436},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.416547954082489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3322662115097046},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09358274936676025},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg61629.2025.11099317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg61629.2025.11099317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1640745651","https://openalex.org/W2052090926","https://openalex.org/W2074754194","https://openalex.org/W2146086273","https://openalex.org/W2193145675","https://openalex.org/W2566376500","https://openalex.org/W2611558102","https://openalex.org/W2948354154","https://openalex.org/W2962766044","https://openalex.org/W2963307811","https://openalex.org/W2963351448","https://openalex.org/W2963566548","https://openalex.org/W2963856926","https://openalex.org/W2963890275","https://openalex.org/W3013338555","https://openalex.org/W3034258423","https://openalex.org/W3035731588","https://openalex.org/W3097096317","https://openalex.org/W3121661546","https://openalex.org/W3134649899","https://openalex.org/W3174792937","https://openalex.org/W3174883353","https://openalex.org/W3210549920","https://openalex.org/W4212918797","https://openalex.org/W4312249431","https://openalex.org/W4389347891","https://openalex.org/W4393240954","https://openalex.org/W6754146604","https://openalex.org/W6761937618","https://openalex.org/W6779823529","https://openalex.org/W6797180961","https://openalex.org/W6874037906"],"related_works":["https://openalex.org/W1967587236","https://openalex.org/W2384651879","https://openalex.org/W2336272890","https://openalex.org/W2151699605","https://openalex.org/W4308999381","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W2133653344","https://openalex.org/W4312081214"],"abstract_inverted_index":{"Current":[0],"low-light":[1,60,70],"face":[2,31,38,61,71,90,126,146,162,166,181],"detection":[3,32,72,147],"usually":[4],"enhances":[5],"images":[6],"first":[7],"and":[8,23,40,75,89,97,135,145,148,170,189],"then":[9],"detects":[10],"faces.":[11],"Image":[12],"enhancement":[13,18,47,88,99,103,115,144],"focuses":[14],"on":[15,206],"the":[16,20,27,52,79,109,123,140,150,157,185,191,194,198,207,212,215],"global":[17,74,96,134],"of":[19,36,59,83,125,133,156,193,200,214],"whole":[21],"image":[22,46,87,93,111,143],"is":[24],"suitable":[25],"for":[26],"human":[28,158,201],"perspective.":[29],"However,":[30],"requires":[33],"high":[34],"quality":[35],"local":[37,76,98,114,136],"regions":[39,127,155,167,196],"has":[41],"different":[42],"optimization":[43],"objectives":[44],"from":[45],"task.":[48],"Such":[49],"mismatches":[50],"between":[51,142],"two":[53,84,151],"tasks":[54,152],"result":[55],"in":[56],"inferior":[57],"performance":[58],"detection.":[62,91,182],"To":[63],"solve":[64],"these":[65],"obstacles,":[66],"we":[67,138,173],"propose":[68],"end-to-end":[69],"through":[73],"enhancement.":[77],"Specifically,":[78],"proposed":[80,216],"method":[81],"consists":[82],"components,":[85],"i.e.,":[86],"For":[92],"enhancement,":[94,137],"both":[95],"are":[100,168],"explored.":[101],"Global":[102],"utilizes":[104],"illumination":[105,124],"constraints":[106],"to":[107,121,179],"enhance":[108],"overall":[110],"illumination,":[112],"while":[113],"employs":[116],"a":[117,131],"generative":[118],"adversarial":[119],"network":[120],"improve":[122],"during":[128],"training.":[129],"Through":[130],"combination":[132],"reduce":[139],"gap":[141],"optimize":[149,190],"jointly.":[153],"Furthermore,":[154],"body":[159,175,195],"may":[160],"help":[161],"detection,":[163],"especially":[164],"when":[165],"small":[169],"blurred.":[171],"Therefore,":[172],"regard":[174],"region":[176],"as":[177],"context":[178,186],"assist":[180],"We":[183],"use":[184],"assistance":[187],"module":[188],"annotation":[192],"with":[197],"aid":[199],"structure":[202],"prior":[203],"knowledge.":[204],"Experiments":[205],"Dark":[208],"Face":[209],"dataset":[210],"demonstrate":[211],"effectiveness":[213],"method.":[217]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
