{"id":"https://openalex.org/W4304097989","doi":"https://doi.org/10.1145/3503161.3548174","title":"Knowledge Guided Representation Disentanglement for Face Recognition from Low Illumination Images","display_name":"Knowledge Guided Representation Disentanglement for Face Recognition from Low Illumination Images","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304097989","doi":"https://doi.org/10.1145/3503161.3548174"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548174","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"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":2,"corresponding_author_ids":["https://openalex.org/A5078423269"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.1798,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50969628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6655","last_page":"6663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9991999864578247,"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/T11448","display_name":"Face recognition and analysis","score":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9922000169754028,"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/T10057","display_name":"Face and Expression Recognition","score":0.9909999966621399,"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/color-constancy","display_name":"Color constancy","score":0.8745238184928894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8353386521339417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7439503073692322},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6737322807312012},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6661583781242371},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5612128973007202},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5073918700218201},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49242910742759705},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.45129722356796265},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.44030308723449707},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.421311616897583},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.28918349742889404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18866237998008728},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14592862129211426}],"concepts":[{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.8745238184928894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8353386521339417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439503073692322},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6737322807312012},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6661583781242371},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5612128973007202},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5073918700218201},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49242910742759705},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.45129722356796265},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.44030308723449707},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.421311616897583},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.28918349742889404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18866237998008728},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14592862129211426},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3548174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548174","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G8472469554","display_name":null,"funder_award_id":"92048203","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2085810284","https://openalex.org/W2096027770","https://openalex.org/W2096733369","https://openalex.org/W2109945314","https://openalex.org/W2125874614","https://openalex.org/W2155138846","https://openalex.org/W2603777577","https://openalex.org/W2938750953","https://openalex.org/W2962898354","https://openalex.org/W2962922273","https://openalex.org/W2963600167","https://openalex.org/W2963809521","https://openalex.org/W2963890275","https://openalex.org/W2963968629","https://openalex.org/W2969985801","https://openalex.org/W2979836745","https://openalex.org/W2998039742","https://openalex.org/W2998200221","https://openalex.org/W3010775719","https://openalex.org/W3013338555","https://openalex.org/W3034494316","https://openalex.org/W3034519219","https://openalex.org/W3092803845","https://openalex.org/W3106565981","https://openalex.org/W3112186690","https://openalex.org/W3146184900","https://openalex.org/W3165310966","https://openalex.org/W3174883353","https://openalex.org/W3201590750","https://openalex.org/W3211747432","https://openalex.org/W4212774754","https://openalex.org/W4232998634"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W325114128","https://openalex.org/W2185537520","https://openalex.org/W3108145925","https://openalex.org/W4387163326","https://openalex.org/W1517271056","https://openalex.org/W63491089","https://openalex.org/W2058325696"],"abstract_inverted_index":{"Low":[0],"illumination":[1,111,128,162],"face":[2,58,71,150,155],"recognition":[3,156],"is":[4],"challenging":[5],"as":[6],"details":[7],"are":[8,82,91,143],"lacking":[9],"due":[10],"to":[11,41,93,131,145],"lighting":[12],"conditions.":[13],"Retinex":[14],"theory":[15],"points":[16],"out":[17],"that":[18,107],"images":[19,44],"can":[20],"be":[21,117],"divided":[22],"into":[23,45],"reflectance":[24],"with":[25],"color":[26],"constancy":[27],"and":[28,47,50,70,78,88,98,163,169],"ambient":[29,79],"illumination.":[30],"Inspired":[31],"by":[32],"this,":[33],"we":[34,105,125],"propose":[35],"a":[36],"knowledge-guided":[37],"representation":[38],"disentanglement":[39,69],"method":[40,63],"disentangle":[42],"facial":[43,85],"face-related":[46,55,76,141],"illumination-related":[48,80,114],"features,":[49],"then":[51],"leverage":[52],"the":[53,61,96,101,108,133,149,167],"disentangled":[54,102],"features":[56,77,81,115,142,147],"for":[57,119,136,152],"recognition.":[59],"Specifically,":[60],"proposed":[62,173],"consists":[64],"of":[65,100,110,121,171],"two":[66],"components:":[67],"feature":[68],"classifier.":[72],"Following":[73],"Retinex,":[74],"high-dimensional":[75,140],"extracted":[83],"from":[84],"images.":[86],"Reconstruction":[87],"crossreconstruction":[89],"methods":[90],"used":[92],"make":[94],"sure":[95],"integrity":[97],"accuracy":[99],"features.":[103],"Furthermore,":[104],"find":[106],"influence":[109],"changes":[112],"on":[113,160],"should":[116],"invariant":[118],"faces":[120],"different":[122],"identities,":[123],"so":[124],"design":[126],"an":[127],"offset":[129],"loss":[130],"satisfy":[132],"prior":[134],"invariance":[135],"better":[137],"disentanglement.":[138],"Finally":[139],"mapped":[144],"low-dimensional":[146],"through":[148],"classifier":[151],"use":[153],"in":[154],"task.":[157],"Experimental":[158],"results":[159],"low":[161],"NIR-VIS":[164],"datasets":[165],"demonstrate":[166],"superiority":[168],"effectiveness":[170],"our":[172],"method.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
