{"id":"https://openalex.org/W2962926344","doi":"https://doi.org/10.1109/cvprw.2019.00296","title":"Multimodal Age and Gender Classification Using Ear and Profile Face Images","display_name":"Multimodal Age and Gender Classification Using Ear and Profile Face Images","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2962926344","doi":"https://doi.org/10.1109/cvprw.2019.00296","mag":"2962926344"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2019.00296","doi":"https://doi.org/10.1109/cvprw.2019.00296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2019.00296","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1907.10081","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055264805","display_name":"Do\u011fucan Yaman","orcid":"https://orcid.org/0000-0002-5047-295X","observed_orcids":["https://orcid.org/0000-0002-5047-295X"]},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Dogucan Yaman","raw_affiliation_strings":["Istanbul Technical University, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001096493","display_name":"Fevziye \u0130rem Eyiokur","orcid":"https://orcid.org/0000-0001-5754-5405","observed_orcids":["https://orcid.org/0000-0001-5754-5405"]},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fevziye Irem Eyiokur","raw_affiliation_strings":["Istanbul Technical University, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009982931","display_name":"Haz\u0131m Kemal Ekenel","orcid":"https://orcid.org/0000-0003-3697-8548","observed_orcids":["https://orcid.org/0000-0003-3697-8548"]},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hazim Kemal Ekenel","raw_affiliation_strings":["Istanbul Technical University, Turkey","Istanbul Technical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Turkey","institution_ids":["https://openalex.org/I48912391"]},{"raw_affiliation_string":"Istanbul Technical University","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":1.794,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.90857143,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2414","last_page":"2421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9843999743461609,"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":0.9843999743461609,"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":0.013500000350177288,"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"}},{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/age-classification","display_name":"age classification","score":0.7919999957084656},{"id":"https://openalex.org/keywords/gender-classification","display_name":"gender classification","score":0.9990000128746033},{"id":"https://openalex.org/keywords/multimodal-biometrics","display_name":"multimodal biometrics","score":0.7329999804496765},{"id":"https://openalex.org/keywords/soft-biometrics","display_name":"soft biometrics","score":0.8370000123977661},{"id":"https://openalex.org/keywords/data-level-fusion","display_name":"data-level fusion","score":0.7080000042915344},{"id":"https://openalex.org/keywords/early-fusion","display_name":"feature-level fusion","score":0.9959999918937683},{"id":"https://openalex.org/keywords/score-level-fusion","display_name":"score-level fusion","score":0.9990000128746033},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.9390000104904175},{"id":"https://openalex.org/keywords/center-loss","display_name":"center loss","score":0.9169999957084656},{"id":"https://openalex.org/keywords/softmax-loss","display_name":"softmax loss","score":0.6299999952316284},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.6790000200271606}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8493901491165161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7308162450790405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6756889820098877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6248407363891602},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5781525373458862},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5218138694763184},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.47185373306274414},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46664145588874817},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4411364197731018},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4403073191642761},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":5,"locations":[{"id":"doi:10.1109/cvprw.2019.00296","doi":"https://doi.org/10.1109/cvprw.2019.00296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2019.00296","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1907.10081","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.10081","pdf_url":"https://arxiv.org/pdf/1907.10081","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"mag:2962926344","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1907.10081","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"pmh:oai:polen.itu.edu.tr:11527/51433","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/51433","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.1907.10081","doi":"https://doi.org/10.48550/arxiv.1907.10081","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.10081","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1907.10081","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.10081","pdf_url":"https://arxiv.org/pdf/1907.10081","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962926344.pdf","grobid_xml":"https://content.openalex.org/works/W2962926344.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W177797125","https://openalex.org/W1686810756","https://openalex.org/W1905153633","https://openalex.org/W1995825682","https://openalex.org/W2018953191","https://openalex.org/W2031937816","https://openalex.org/W2033419168","https://openalex.org/W2058057082","https://openalex.org/W2062067995","https://openalex.org/W2062118960","https://openalex.org/W2062690810","https://openalex.org/W2095705004","https://openalex.org/W2102497689","https://openalex.org/W2108598243","https://openalex.org/W2115252128","https://openalex.org/W2126475620","https://openalex.org/W2130352044","https://openalex.org/W2142738658","https://openalex.org/W2149933564","https://openalex.org/W2170415971","https://openalex.org/W2194775991","https://openalex.org/W2510725918","https://openalex.org/W2520774990","https://openalex.org/W2528176169","https://openalex.org/W2551082533","https://openalex.org/W2740067724","https://openalex.org/W2777157629","https://openalex.org/W2790217705","https://openalex.org/W2800628486","https://openalex.org/W2808627759","https://openalex.org/W2912990735","https://openalex.org/W2969597887","https://openalex.org/W6752230712"],"related_works":["https://openalex.org/W3137475859","https://openalex.org/W2808627759","https://openalex.org/W1995825682","https://openalex.org/W2942442812","https://openalex.org/W4415709079","https://openalex.org/W4412996365","https://openalex.org/W4406264413","https://openalex.org/W3187224850","https://openalex.org/W2890070794","https://openalex.org/W7131415892"],"abstract_inverted_index":{"In":[0],"this":[1,55],"paper,":[2],"we":[3,57,88,145],"present":[4],"multimodal":[5,60,67,134],"deep":[6,61,85],"neural":[7,86],"network":[8],"frameworks":[9],"for":[10,124],"age":[11,125,139,159],"and":[12,73,80,93,108,126,140,160],"gender":[13,127,141,161],"classification,":[14],"which":[15],"take":[16],"input":[17],"a":[18,48,119],"profile":[19,42,115,153],"face":[20,43,116,154],"image":[21,155],"as":[22,24],"well":[23],"an":[25],"ear":[26,52,157],"image.":[27],"Our":[28],"main":[29],"objective":[30],"is":[31],"to":[32,150],"enhance":[33],"the":[34,84,105,132,151],"accuracy":[35],"of":[36,83,122],"soft":[37],"biometric":[38,50],"trait":[39],"extraction":[40],"from":[41,90],"images":[44,117],"by":[45,69],"additionally":[46],"utilizing":[47],"promising":[49],"modality:":[51],"appearance.":[53],"For":[54],"purpose,":[56],"provided":[58],"end-to-end":[59],"learning":[62],"frameworks.":[63],"We":[64,100,129],"explored":[65],"different":[66],"strategies":[68],"employing":[70],"data,":[71],"feature,":[72],"score":[74],"level":[75],"fusion.":[76],"To":[77],"increase":[78],"representation":[79],"discrimination":[81],"capability":[82],"networks,":[87],"benefited":[89],"domain":[91],"adaptation":[92],"employed":[94],"center":[95],"loss":[96],"besides":[97],"softmax":[98],"loss.":[99],"conducted":[101],"extensive":[102],"experiments":[103],"on":[104],"UND-F,":[106],"UND-J2,":[107],"FERET":[109],"datasets.":[110],"Experimental":[111],"results":[112,148],"indicated":[113],"that":[114,131],"contain":[118],"rich":[120],"source":[121],"information":[123],"classification.":[128],"found":[130],"presented":[133],"system":[135],"achieves":[136],"very":[137],"high":[138],"classification":[142,162],"accuracies.":[143],"Moreover,":[144],"attained":[146],"superior":[147],"compared":[149],"state-of-the-art":[152],"or":[156],"image-based":[158],"methods.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2019-07-30T00:00:00"}