{"id":"https://openalex.org/W4220774951","doi":"https://doi.org/10.1145/3527158","title":"Learning Streamed Attention Network from Descriptor Images for Cross-Resolution 3D Face Recognition","display_name":"Learning Streamed Attention Network from Descriptor Images for Cross-Resolution 3D Face Recognition","publication_year":2022,"publication_date":"2022-03-25","ids":{"openalex":"https://openalex.org/W4220774951","doi":"https://doi.org/10.1145/3527158"},"language":"en","primary_location":{"id":"doi:10.1145/3527158","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3527158","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://doi.org/10.1145/3527158","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020839282","display_name":"Jo\u00e3o Baptista Cardia Neto","orcid":"https://orcid.org/0000-0002-2727-1383"},"institutions":[{"id":"https://openalex.org/I3131263933","display_name":"S\u00e3o Paulo State Technological College","ror":"https://ror.org/04z64b609","country_code":"BR","type":"education","lineage":["https://openalex.org/I3131263933"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Baptista Cardia Neto","raw_affiliation_strings":["S\u00e3o Paulo State Technological College (FATEC), S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S\u00e3o Paulo State Technological College (FATEC), S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I3131263933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028907737","display_name":"Claudio Ferrari","orcid":"https://orcid.org/0000-0001-9465-6753"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]},{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudio Ferrari","raw_affiliation_strings":["Department of Architecture and Engineering, University of Parma and University of Florence, Firenze FI, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Architecture and Engineering, University of Parma and University of Florence, Firenze FI, Italy","institution_ids":["https://openalex.org/I124601658","https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021585095","display_name":"Aparecido Nilceu Marana","orcid":"https://orcid.org/0000-0003-4861-7061"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Aparecido Nilceu Marana","raw_affiliation_strings":["RECOGNA Laboratory, S\u00e3o Paulo State University (UNESP), S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RECOGNA Laboratory, S\u00e3o Paulo State University (UNESP), S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013110565","display_name":"Stefano Berretti","orcid":"https://orcid.org/0000-0003-1219-4386"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Berretti","raw_affiliation_strings":["MICC, University of Florence, Firenze FI, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MICC, University of Florence, Firenze FI, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081506611","display_name":"Alberto Del Bimbo","orcid":"https://orcid.org/0000-0002-1052-8322"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Del Bimbo","raw_affiliation_strings":["MICC, University of Florence, Firenze FI, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MICC, University of Florence, Firenze FI, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8098,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.69575591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"19","issue":"1s","first_page":"1","last_page":"20"},"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":0.9965000152587891,"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":0.9940000176429749,"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":0.7975603342056274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.724709153175354},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6948320865631104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.615630030632019},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6080925464630127},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5713121294975281},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5549498200416565},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.46430400013923645},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.44027817249298096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43228620290756226},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42708027362823486},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42548424005508423},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.42545557022094727},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3683726489543915},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.24648517370224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975603342056274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.724709153175354},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6948320865631104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.615630030632019},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6080925464630127},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5713121294975281},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5549498200416565},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.46430400013923645},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.44027817249298096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43228620290756226},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42708027362823486},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42548424005508423},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.42545557022094727},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3683726489543915},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.24648517370224},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3527158","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3527158","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},{"id":"pmh:oai:repositorio.unesp.br:11449/249658","is_oa":true,"landing_page_url":"http://doi.org/10.1145/3527158","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"instacron:UNESP","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:flore.unifi.it:2158/1263263","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.1145/3527158","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:repositorio.unesp.br:11449/249658","is_oa":true,"landing_page_url":"http://doi.org/10.1145/3527158","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"instacron:UNESP","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1566413196","https://openalex.org/W1964443500","https://openalex.org/W1970030635","https://openalex.org/W1981660604","https://openalex.org/W1991357295","https://openalex.org/W1995884877","https://openalex.org/W2030203266","https://openalex.org/W2039051707","https://openalex.org/W2049981393","https://openalex.org/W2117715370","https://openalex.org/W2138931357","https://openalex.org/W2182181591","https://openalex.org/W2186518338","https://openalex.org/W2295107390","https://openalex.org/W2341101555","https://openalex.org/W2509629008","https://openalex.org/W2560662850","https://openalex.org/W2588595876","https://openalex.org/W2606980007","https://openalex.org/W2612690371","https://openalex.org/W2622235196","https://openalex.org/W2788029476","https://openalex.org/W2885259763","https://openalex.org/W2889395608","https://openalex.org/W2946166696","https://openalex.org/W2963858339","https://openalex.org/W2982083293","https://openalex.org/W2998039742","https://openalex.org/W3016330610","https://openalex.org/W3035211844","https://openalex.org/W3089487103","https://openalex.org/W3109427664","https://openalex.org/W3177525997","https://openalex.org/W4234552385","https://openalex.org/W4292888422","https://openalex.org/W4301045096","https://openalex.org/W6600238479"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W2794489335","https://openalex.org/W1589677080","https://openalex.org/W1999808563","https://openalex.org/W2492432316","https://openalex.org/W2770255720","https://openalex.org/W1509533962","https://openalex.org/W2985118265"],"abstract_inverted_index":{"In":[0],"this":[1,196],"article,":[2],"we":[3,36,61,82,198,208,237],"propose":[4,62],"a":[5,15,63,78,84,169,190,242],"hybrid":[6],"framework":[7],"for":[8],"cross-resolution":[9,193],"3D":[10,67,205,251,285],"face":[11,231,286],"recognition":[12],"which":[13],"utilizes":[14],"Streamed":[16],"Attention":[17],"Network":[18],"(SAN)":[19],"that":[20,73,86,158],"combines":[21],"handcrafted":[22],"features":[23],"with":[24,291],"Convolutional":[25],"Neural":[26],"Networks":[27],"(CNNs).":[28],"It":[29],"consists":[30,96],"of":[31,65,93,101,110,115,131,136,172,222,246,279],"two":[32,124,277],"main":[33,125],"stages:":[34],"first,":[35],"process":[37],"the":[38,48,59,66,102,108,128,137,140,143,147,165,173,186,201,210,220,223,255,271],"depth":[39,75,134],"images":[40,135],"to":[41,133,161,269,293],"extract":[42],"low-level":[43,178],"surface":[44,156],"descriptors":[45],"and":[46,106,118,151,249],"derive":[47],"corresponding":[49],"Descriptor":[50],"Images":[51],"(DIs),":[52],"represented":[53],"as":[54,213,230,258,265],"four-channel":[55],"images.":[56],"To":[57,195],"build":[58],"DIs,":[60],"variation":[64],"Local":[68],"Binary":[69],"Pattern":[70],"(3DLBP)":[71],"operator":[72],"encodes":[74],"differences":[76],"using":[77],"sigmoid":[79],"function.":[80],"Then,":[81],"design":[83],"CNN":[85],"learns":[87],"from":[88],"these":[89,276],"DIs.":[90],"The":[91],"peculiarity":[92],"our":[94],"solution":[95],"in":[97,181,189],"processing":[98],"each":[99,111],"channel":[100,112],"input":[103],"image":[104],"separately,":[105],"fusing":[107],"contribution":[109],"by":[113,154,177],"means":[114],"both":[116],"self-":[117],"cross-attention":[119],"mechanisms.":[120],"This":[121],"strategy":[122],"showed":[123],"advantages":[126],"over":[127],"direct":[129],"application":[130],"Deep-CNN":[132],"face;":[138],"on":[139,203,216,241,283],"one":[141],"hand,":[142],"DIs":[144],"can":[145],"reduce":[146],"diversity":[148],"between":[149,275],"high-":[150,248],"low-resolution":[152,217,250,261,284],"data":[153,257],"encoding":[155],"properties":[157],"are":[159,263],"robust":[160],"resolution":[162],"differences.":[163],"On":[164],"other,":[166],"it":[167],"allows":[168],"better":[170],"exploitation":[171],"richer":[174],"information":[175],"provided":[176],"features,":[179],"resulting":[180],"improved":[182],"recognition.":[183],"We":[184,253],"evaluated":[185],"proposed":[187],"architecture":[188],"challenging":[191],"cross-dataset,":[192],"scenario.":[194],"aim,":[197],"first":[199],"train":[200],"network":[202,212],"scanner-resolution":[204],"data.":[206,280],"Next,":[207],"utilize":[209],"pre-trained":[211],"feature":[214],"extractor":[215],"data,":[218],"where":[219],"output":[221],"last":[224],"fully":[225],"connected":[226],"layer":[227],"is":[228],"used":[229,264],"descriptor.":[232],"Other":[233],"than":[234],"standard":[235],"benchmarks,":[236],"also":[238],"perform":[239],"experiments":[240,282],"newly":[243],"collected":[244],"dataset":[245],"paired":[247],"faces.":[252],"use":[254],"high-resolution":[256],"gallery,":[259],"while":[260],"faces":[262],"probe,":[266],"allowing":[267],"us":[268],"assess":[270],"real":[272],"gap":[273],"existing":[274],"types":[278],"Extensive":[281],"benchmarks":[287],"show":[288],"promising":[289],"results":[290],"respect":[292],"state-of-the-art":[294],"methods.":[295]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
