{"id":"https://openalex.org/W2799530536","doi":"https://doi.org/10.1109/icassp.2018.8461985","title":"Low Resolution Face Recognition and Reconstruction Via Deep Canonical Correlation Analysis","display_name":"Low Resolution Face Recognition and Reconstruction Via Deep Canonical Correlation Analysis","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2799530536","doi":"https://doi.org/10.1109/icassp.2018.8461985","mag":"2799530536"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5103205468","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0002-1521-8163"},"institutions":[{"id":"https://openalex.org/I1793135","display_name":"Yanbian University","ror":"https://ror.org/039xnh269","country_code":"CN","type":"education","lineage":["https://openalex.org/I1793135"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["School of Information Engineering, Yanzzhou University, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yanzzhou University, China","institution_ids":["https://openalex.org/I1793135"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055757510","display_name":"Yunhao Yuan","orcid":"https://orcid.org/0000-0003-3712-443X"},"institutions":[{"id":"https://openalex.org/I1793135","display_name":"Yanbian University","ror":"https://ror.org/039xnh269","country_code":"CN","type":"education","lineage":["https://openalex.org/I1793135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun-Hao Yuan","raw_affiliation_strings":["School of Information Engineering, Yanzzhou University, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yanzzhou University, China","institution_ids":["https://openalex.org/I1793135"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061132796","display_name":"Xiaobo Shen","orcid":"https://orcid.org/0000-0001-8494-4532"},"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":"Xiao-Bo Shen","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapoe"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapoe","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101793983","display_name":"Yun Li","orcid":"https://orcid.org/0000-0002-7628-0358"},"institutions":[{"id":"https://openalex.org/I1793135","display_name":"Yanbian University","ror":"https://ror.org/039xnh269","country_code":"CN","type":"education","lineage":["https://openalex.org/I1793135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["School of Information Engineering, Yanzzhou University, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yanzzhou University, China","institution_ids":["https://openalex.org/I1793135"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103205468"],"corresponding_institution_ids":["https://openalex.org/I1793135"],"apc_list":null,"apc_paid":null,"fwci":0.7312,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75976184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2951","last_page":"2955"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9970999956130981,"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/T10688","display_name":"Image and Signal Denoising 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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7525739669799805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7150269746780396},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7135530710220337},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6857887506484985},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.6807804107666016},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6802655458450317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6697751879692078},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6193962097167969},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.613506555557251},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5359865427017212},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5023858547210693},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.48718541860580444},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.4776248335838318},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4592857360839844},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3757610619068146},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24440544843673706}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7525739669799805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7150269746780396},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7135530710220337},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6857887506484985},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.6807804107666016},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6802655458450317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6697751879692078},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6193962097167969},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.613506555557251},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5359865427017212},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5023858547210693},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.48718541860580444},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.4776248335838318},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4592857360839844},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3757610619068146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24440544843673706},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1531883353","https://openalex.org/W1885185971","https://openalex.org/W2015497428","https://openalex.org/W2065277358","https://openalex.org/W2088254198","https://openalex.org/W2111327023","https://openalex.org/W2118963448","https://openalex.org/W2120824855","https://openalex.org/W2121058967","https://openalex.org/W2201706299","https://openalex.org/W2740535357","https://openalex.org/W2766655299","https://openalex.org/W2963102887","https://openalex.org/W2963470893","https://openalex.org/W6631611331","https://openalex.org/W6676501120","https://openalex.org/W6677548907","https://openalex.org/W6687752125","https://openalex.org/W6727340567","https://openalex.org/W6745384100"],"related_works":["https://openalex.org/W1565185441","https://openalex.org/W1968846550","https://openalex.org/W302711736","https://openalex.org/W1975632186","https://openalex.org/W2313359725","https://openalex.org/W2375550484","https://openalex.org/W3027745756","https://openalex.org/W3134705486","https://openalex.org/W2132703645","https://openalex.org/W2388958958"],"abstract_inverted_index":{"Low-resolution":[0],"(LR)":[1],"face":[2,19,111],"identification":[3,98],"is":[4,67,106],"always":[5],"a":[6,16],"challenge":[7],"in":[8,63],"computer":[9],"vision.":[10],"In":[11,88],"this":[12],"paper,":[13],"we":[14,69,90],"propose":[15],"new":[17],"LR":[18,44,110],"recognition":[20,112],"and":[21,45,85,99,113,128],"reconstruction":[22,114],"method":[23,36],"using":[24],"deep":[25,64],"canonical":[26],"correlation":[27],"analysis":[28],"(DCCA).":[29],"Unlike":[30],"linear":[31],"CCA-based":[32],"methods,":[33],"our":[34,131],"proposed":[35,104],"can":[37],"learn":[38,78],"flexible":[39],"nonlinear":[40,57,61],"representations":[41],"by":[42],"passing":[43],"high-resolution":[46],"(HR)":[47],"image":[48],"principal":[49,83],"component":[50],"features":[51],"through":[52],"multiple":[53],"stacked":[54],"layers":[55],"of":[56,118,130],"transformation.":[58],"As":[59],"the":[60,126],"transformation":[62],"neural":[65,75],"networks":[66],"implicit,":[68],"apply":[70],"radial":[71],"basis":[72],"function":[73],"based":[74],"network":[76],"to":[77],"an":[79],"explicit":[80],"mapping":[81],"between":[82],"components":[84],"correlational":[86],"features.":[87],"addition,":[89],"also":[91],"design":[92],"two":[93],"residual":[94],"compensation":[95],"methods":[96],"for":[97],"vision":[100],"enhancement,":[101],"respectively.":[102],"The":[103],"approach":[105],"compared":[107],"with":[108],"existing":[109],"algorithms.":[115],"A":[116],"number":[117],"experimental":[119],"results":[120],"on":[121],"benchmark":[122],"datasets":[123],"have":[124],"demonstrated":[125],"effectiveness":[127],"robustness":[129],"method.":[132]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}