{"id":"https://openalex.org/W3000837445","doi":"https://doi.org/10.1109/vcip47243.2019.8966026","title":"Comparative Convolutional Neural Network for Younger Face Identification","display_name":"Comparative Convolutional Neural Network for Younger Face Identification","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3000837445","doi":"https://doi.org/10.1109/vcip47243.2019.8966026","mag":"3000837445"},"language":"en","primary_location":{"id":"doi:10.1109/vcip47243.2019.8966026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip47243.2019.8966026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Visual Communications and Image Processing (VCIP)","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/A5105422647","display_name":"Liangliang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Liangliang Wang","raw_affiliation_strings":["Media & Interactive Computing Lab, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Media & Interactive Computing Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009372982","display_name":"Deepu Rajan","orcid":"https://orcid.org/0000-0001-7788-8368"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Deepu Rajan","raw_affiliation_strings":["Media & Interactive Computing Lab, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Media & Interactive Computing Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5105422647"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16728963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"4"},"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":0.9916999936103821,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9653000235557556,"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/softmax-function","display_name":"Softmax function","score":0.9507677555084229},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7779898047447205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7511593103408813},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7328768372535706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7195683717727661},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5851872563362122},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5803594589233398},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5562119483947754},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5288801193237305},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4936715066432953},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4582066535949707},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.44656944274902344}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9507677555084229},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7779898047447205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7511593103408813},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7328768372535706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7195683717727661},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5851872563362122},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5803594589233398},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5562119483947754},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5288801193237305},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4936715066432953},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4582066535949707},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.44656944274902344},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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":1,"locations":[{"id":"doi:10.1109/vcip47243.2019.8966026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip47243.2019.8966026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1905153633","https://openalex.org/W1965804146","https://openalex.org/W1975517671","https://openalex.org/W1997566808","https://openalex.org/W2021354639","https://openalex.org/W2097117768","https://openalex.org/W2131747574","https://openalex.org/W2146950091","https://openalex.org/W2155893237","https://openalex.org/W2156303437","https://openalex.org/W2164598857","https://openalex.org/W2401154299","https://openalex.org/W2440214111","https://openalex.org/W2510725918","https://openalex.org/W2592232824","https://openalex.org/W2748140016","https://openalex.org/W2751064149","https://openalex.org/W2962835968","https://openalex.org/W3091905774","https://openalex.org/W4300906944","https://openalex.org/W6682864246","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W2899027234","https://openalex.org/W4323060069","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"We":[0,29,48],"consider":[1],"the":[2,24,27,32,62,88],"problem":[3],"of":[4,9,17,26,34,102],"determining":[5],"whether":[6],"a":[7,50,70,80,97],"pair":[8],"face":[10,66,106],"images":[11],"can":[12],"be":[13],"distinguishable":[14],"in":[15,36],"terms":[16],"age":[18,38],"and":[19,46],"if":[20],"so,":[21],"which":[22,37],"is":[23,84],"younger":[25],"two.":[28],"also":[30],"determine":[31],"degree":[33],"distinguishability":[35],"differences":[39],"are":[40],"categorized":[41],"into":[42],"large,":[43],"medium,":[44],"small":[45],"tiny.":[47],"propose":[49],"comparative":[51,71],"convolutional":[52],"neural":[53],"network":[54],"combining":[55],"two":[56,63],"parallel":[57],"deep":[58,64],"architectures.":[59],"Based":[60],"on":[61],"learnt":[65],"features,":[67],"we":[68,95],"introduce":[69],"layer":[72],"to":[73,86],"represent":[74],"their":[75],"mutual":[76],"relationships,":[77],"followed":[78],"by":[79],"concatenatation":[81],"implementation.":[82],"Softmax":[83],"adopted":[85],"complete":[87],"classification":[89],"task.":[90],"To":[91],"demonstrate":[92],"our":[93],"approach,":[94],"construct":[96],"very":[98],"large":[99],"dataset":[100],"consisting":[101],"over":[103],"1.7":[104],"million":[105],"image":[107],"pairs":[108],"with":[109],"young/old":[110],"labels.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}