{"id":"https://openalex.org/W2902912516","doi":"https://doi.org/10.1109/btas46853.2019.9185981","title":"MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices","display_name":"MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2902912516","doi":"https://doi.org/10.1109/btas46853.2019.9185981","mag":"2902912516"},"language":"en","primary_location":{"id":"doi:10.1109/btas46853.2019.9185981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas46853.2019.9185981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1811.11080","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007006341","display_name":"Chi Nhan Duong","orcid":"https://orcid.org/0000-0002-5177-0393"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Chi Nhan Duong","raw_affiliation_strings":["Computer Science and Software Engineering, Concordia University, Canada","Concordia University,Computer Science and Software Engineering,Canada"],"affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering, Concordia University, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Concordia University,Computer Science and Software Engineering,Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023840296","display_name":"Kha Gia Quach","orcid":"https://orcid.org/0000-0001-6952-306X"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kha Gia Quach","raw_affiliation_strings":["Computer Science and Software Engineering, Concordia University, Canada","Concordia University,Computer Science and Software Engineering,Canada"],"affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering, Concordia University, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Concordia University,Computer Science and Software Engineering,Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091630011","display_name":"Ibsa Jalata","orcid":"https://orcid.org/0000-0002-5503-377X"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ibsa Jalata","raw_affiliation_strings":["Computer Science and Computer Engineering, University of Arkansas, USA","University of Arkansas,Computer Science and Computer Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Computer Engineering, University of Arkansas, USA","institution_ids":["https://openalex.org/I78715868"]},{"raw_affiliation_string":"University of Arkansas,Computer Science and Computer Engineering,USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023725893","display_name":"Ngan Le","orcid":"https://orcid.org/0000-0003-2571-0511"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ngan Le","raw_affiliation_strings":["Electrical and Computer Engineering, Carnegie Mellon University, USA","Carnegie Mellon University, Electrical and Computer Engineering, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University, Electrical and Computer Engineering, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056226189","display_name":"Khoa Luu","orcid":"https://orcid.org/0000-0003-2104-0901"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khoa Luu","raw_affiliation_strings":["Computer Science and Computer Engineering, University of Arkansas, USA","University of Arkansas,Computer Science and Computer Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Computer Engineering, University of Arkansas, USA","institution_ids":["https://openalex.org/I78715868"]},{"raw_affiliation_string":"University of Arkansas,Computer Science and Computer Engineering,USA","institution_ids":["https://openalex.org/I78715868"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007006341"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.4087,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.637019,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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/T10828","display_name":"Biometric Identification and Security","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.810741126537323},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7998456954956055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6846287846565247},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.675101637840271},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.6743718385696411},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6287600994110107},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6033048033714294},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.516261100769043},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5158771276473999},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43825334310531616},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4279438853263855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38056156039237976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3598870635032654},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.061966001987457275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.810741126537323},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7998456954956055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6846287846565247},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.675101637840271},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.6743718385696411},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6287600994110107},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6033048033714294},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.516261100769043},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5158771276473999},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43825334310531616},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4279438853263855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38056156039237976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3598870635032654},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.061966001987457275},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/btas46853.2019.9185981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas46853.2019.9185981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1811.11080","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.11080","pdf_url":"https://arxiv.org/pdf/1811.11080","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2902912516","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1811.11080.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1811.11080","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1811.11080","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1811.11080","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.11080","pdf_url":"https://arxiv.org/pdf/1811.11080","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2902912516.pdf","grobid_xml":"https://content.openalex.org/works/W2902912516.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1504194272","https://openalex.org/W1686810756","https://openalex.org/W1782590233","https://openalex.org/W1903029394","https://openalex.org/W1919814523","https://openalex.org/W2024922353","https://openalex.org/W2096733369","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2260663238","https://openalex.org/W2267635276","https://openalex.org/W2300242332","https://openalex.org/W2341528187","https://openalex.org/W2404498690","https://openalex.org/W2413901322","https://openalex.org/W2490266937","https://openalex.org/W2513385807","https://openalex.org/W2515770085","https://openalex.org/W2531409750","https://openalex.org/W2564603115","https://openalex.org/W2604117447","https://openalex.org/W2605570189","https://openalex.org/W2606724497","https://openalex.org/W2608527876","https://openalex.org/W2612445135","https://openalex.org/W2750432752","https://openalex.org/W2783000019","https://openalex.org/W2798952550","https://openalex.org/W2799404913","https://openalex.org/W2807702567","https://openalex.org/W2890713944","https://openalex.org/W2899771611","https://openalex.org/W2949117887","https://openalex.org/W2950094539","https://openalex.org/W2952632681","https://openalex.org/W2962851801","https://openalex.org/W2962898354","https://openalex.org/W2963114950","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963460857","https://openalex.org/W2963572007","https://openalex.org/W2963671154","https://openalex.org/W2963674932","https://openalex.org/W2963973518","https://openalex.org/W2963976704","https://openalex.org/W2964299589","https://openalex.org/W3099206234","https://openalex.org/W3101998545","https://openalex.org/W3118608800","https://openalex.org/W6638046521","https://openalex.org/W6638632666","https://openalex.org/W6639703010","https://openalex.org/W6640274710","https://openalex.org/W6692521979","https://openalex.org/W6693397755","https://openalex.org/W6698200048","https://openalex.org/W6725708618","https://openalex.org/W6735463952","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W3109733158","https://openalex.org/W2807596698","https://openalex.org/W3092249339","https://openalex.org/W3017286962","https://openalex.org/W2975417752","https://openalex.org/W3007579076","https://openalex.org/W2949493108","https://openalex.org/W2806188488","https://openalex.org/W2603037274","https://openalex.org/W2963113314","https://openalex.org/W3043579953","https://openalex.org/W3041074194","https://openalex.org/W3118776433","https://openalex.org/W2949382862","https://openalex.org/W2797810576","https://openalex.org/W2995760626","https://openalex.org/W3116674750","https://openalex.org/W2905173788","https://openalex.org/W3108426037","https://openalex.org/W2975608192"],"abstract_inverted_index":{"Deep":[0],"neural":[1,19,54,74,95],"networks":[2],"have":[3,117],"been":[4],"widely":[5],"used":[6],"in":[7,13,45],"numerous":[8],"computer":[9],"vision":[10],"applications,":[11],"particularly":[12],"face":[14,21,65,109,149],"recognition.":[15],"However,":[16],"deploying":[17],"deep":[18,37,53,73,94],"network":[20,55,75,96],"recognition":[22,66,110,150],"on":[23,67,111,131,136],"mobile":[24,68,112],"devices":[25],"has":[26],"recently":[27],"become":[28],"a":[29,51,92,99],"trend":[30],"but":[31,101],"still":[32],"limited":[33],"since":[34],"most":[35,60],"high-accuracy":[36],"models":[38],"are":[39],"both":[40],"time":[41,155],"and":[42,85,134,156],"GPU":[43],"consumption":[44],"the":[46,59,71],"inference":[47],"stage.":[48],"Therefore,":[49],"developing":[50],"lightweight":[52,72,121],"is":[56,104,123,142],"one":[57],"of":[58,82],"practical":[61],"solutions":[62],"to":[63,106,125],"deploy":[64,108],"devices.":[69,113],"Such":[70],"requires":[76],"efficient":[77],"memory":[78,157],"with":[79,129],"small":[80],"number":[81],"weights":[83],"representation":[84],"low":[86],"cost":[87],"operators.":[88],"In":[89],"this":[90],"paper,":[91],"novel":[93],"named":[97],"MobiFace,":[98],"simple":[100],"effective":[102],"approach,":[103],"proposed":[105],"productively":[107],"The":[114],"experimental":[115],"results":[116],"shown":[118],"that":[119],"our":[120],"MobiFace":[122],"able":[124],"achieve":[126],"high":[127],"performance":[128],"99.73%":[130],"LFW":[132],"database":[133],"91.3%":[135],"large-scale":[137,147],"challenging":[138],"Megaface":[139],"database.":[140],"It":[141],"also":[143],"eventually":[144],"competitive":[145],"against":[146],"deep-networks":[148],"while":[151],"significant":[152],"reducing":[153],"computational":[154],"consumption.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}