{"id":"https://openalex.org/W4210621770","doi":"https://doi.org/10.1145/3497623.3497624","title":"Younger face recognition by learning perceptual flows","display_name":"Younger face recognition by learning perceptual flows","publication_year":2021,"publication_date":"2021-10-15","ids":{"openalex":"https://openalex.org/W4210621770","doi":"https://doi.org/10.1145/3497623.3497624"},"language":"en","primary_location":{"id":"doi:10.1145/3497623.3497624","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3497623.3497624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 10th International Conference on Computing and Pattern Recognition","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/A5070677381","display_name":"Gauri Tulsulkar","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":false,"raw_author_name":"Gauri Tulsulkar","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105422647","display_name":"Liangliang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangliang Wang","raw_affiliation_strings":["Wuhan University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18583571,"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":"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996999979019165,"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":0.9908999800682068,"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/computer-science","display_name":"Computer science","score":0.7767223715782166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7212643027305603},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6942461729049683},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6871334314346313},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6622322201728821},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5380330681800842},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5274702906608582},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49133554100990295},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49101901054382324},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.48817139863967896},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.47358089685440063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43777328729629517},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06792351603507996}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767223715782166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7212643027305603},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6942461729049683},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6871334314346313},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6622322201728821},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5380330681800842},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5274702906608582},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49133554100990295},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49101901054382324},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.48817139863967896},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.47358089685440063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43777328729629517},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06792351603507996},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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:10.1145/3497623.3497624","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3497623.3497624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 10th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1578285471","https://openalex.org/W1905153633","https://openalex.org/W1951289974","https://openalex.org/W2090518410","https://openalex.org/W2097117768","https://openalex.org/W2113221323","https://openalex.org/W2151103935","https://openalex.org/W2155655721","https://openalex.org/W2165715280","https://openalex.org/W2266694576","https://openalex.org/W2344146239","https://openalex.org/W2510725918","https://openalex.org/W2560474170","https://openalex.org/W2592232824","https://openalex.org/W2734436085"],"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/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W2985118265"],"abstract_inverted_index":{"In":[0,54],"spite":[1],"of":[2,109,114,139],"the":[3,34,51,70,77,93,107,112,129,133,137],"extensive":[4],"research":[5],"that":[6,69,72],"has":[7,20],"been":[8,21],"performed":[9],"on":[10,128],"age":[11],"detection":[12],"with":[13],"a":[14,38,45,125],"single":[15],"face":[16,25,66,118],"image,":[17],"little":[18],"attention":[19],"paid":[22],"to":[23,99,106],"younger":[24],"recognition":[26,52],"given":[27],"an":[28],"image":[29,119],"pair.":[30],"Our":[31],"paper":[32],"addresses":[33],"problem":[35],"by":[36,44,76,84],"proposing":[37],"perceptual":[39,95],"flow":[40,90,96],"extraction":[41],"algorithm,":[42],"followed":[43],"CNN":[46],"based":[47,127],"transfer":[48],"learning":[49],"for":[50,64,132],"purpose.":[53,134],"particular,":[55],"our":[56,89,140],"algorithm":[57],"first":[58],"employs":[59],"just":[60],"noticeable":[61],"difference":[62],"scheme":[63],"filtering":[65],"images,":[67],"so":[68],"noise":[71],"cannot":[73],"be":[74],"perceived":[75],"human":[78],"visual":[79],"system":[80],"is":[81,97],"reduced.":[82],"Then,":[83],"fusing":[85],"Laplacian":[86],"stacks":[87],"into":[88],"approximation":[91],"framework,":[92],"estimated":[94],"able":[98],"capture":[100],"features":[101],"at":[102],"multiple":[103],"scales.":[104],"Due":[105],"lack":[108],"data":[110],"and":[111,116],"difficulty":[113],"collecting":[115],"annotating":[117],"pairs,":[120],"we":[121],"have":[122],"also":[123],"introduced":[124],"dataset":[126,131],"UTKFace":[130],"Experiments":[135],"demonstrate":[136],"effectiveness":[138],"approach.":[141]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
