{"id":"https://openalex.org/W2971161322","doi":"https://doi.org/10.1109/icip.2019.8803595","title":"Learning Super-Resolution Coherent Facial Features Using Nonlinear Multiset PLS for Low-Resolution Face Recognition","display_name":"Learning Super-Resolution Coherent Facial Features Using Nonlinear Multiset PLS for Low-Resolution Face Recognition","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2971161322","doi":"https://doi.org/10.1109/icip.2019.8803595","mag":"2971161322"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5055757510","display_name":"Yunhao Yuan","orcid":"https://orcid.org/0000-0003-3712-443X"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun-Hao Yuan","raw_affiliation_strings":["Yangzhou University, Yangzhou, China"],"affiliations":[{"raw_affiliation_string":"Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100678192","display_name":"Jin Li","orcid":"https://orcid.org/0000-0001-5737-3594"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Li","raw_affiliation_strings":["Yangzhou University, Yangzhou, China"],"affiliations":[{"raw_affiliation_string":"Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793983","display_name":"Yun Li","orcid":"https://orcid.org/0000-0002-7628-0358"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["Yangzhou University, Yangzhou, China"],"affiliations":[{"raw_affiliation_string":"Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042645332","display_name":"Jianping Gou","orcid":"https://orcid.org/0000-0003-1413-0693"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Gou","raw_affiliation_strings":["Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062724090","display_name":"Jipeng Qiang","orcid":"https://orcid.org/0000-0001-5721-0293"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jipeng Qiang","raw_affiliation_strings":["Yangzhou University, Yangzhou, China"],"affiliations":[{"raw_affiliation_string":"Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034434932","display_name":"Quansen Sun","orcid":"https://orcid.org/0000-0001-6019-1986"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan-Sen Sun","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055757510"],"corresponding_institution_ids":["https://openalex.org/I78978612"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53770466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"3871","last_page":"3875"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9944000244140625,"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":0.7045811414718628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6735849380493164},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6469153761863708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6030100584030151},{"id":"https://openalex.org/keywords/face-hallucination","display_name":"Face hallucination","score":0.5913310050964355},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.556498646736145},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5400221347808838},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4849841594696045},{"id":"https://openalex.org/keywords/multiset","display_name":"Multiset","score":0.4746445119380951},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4728284776210785},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4449827969074249},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4317622482776642},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.32221370935440063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2356301248073578}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7045811414718628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6735849380493164},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6469153761863708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6030100584030151},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.5913310050964355},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.556498646736145},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5400221347808838},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4849841594696045},{"id":"https://openalex.org/C2779623528","wikidata":"https://www.wikidata.org/wiki/Q864377","display_name":"Multiset","level":2,"score":0.4746445119380951},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4728284776210785},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4449827969074249},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4317622482776642},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.32221370935440063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2356301248073578},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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":26,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1999457380","https://openalex.org/W2006793117","https://openalex.org/W2012565401","https://openalex.org/W2015497428","https://openalex.org/W2051730975","https://openalex.org/W2159917172","https://openalex.org/W2242218935","https://openalex.org/W2507235960","https://openalex.org/W2509704168","https://openalex.org/W2510161671","https://openalex.org/W2518224564","https://openalex.org/W2607041014","https://openalex.org/W2609716212","https://openalex.org/W2611721675","https://openalex.org/W2740535357","https://openalex.org/W2766655299","https://openalex.org/W2776107444","https://openalex.org/W2793337497","https://openalex.org/W2799530536","https://openalex.org/W2808455542","https://openalex.org/W2809511564","https://openalex.org/W2963583792","https://openalex.org/W2963676087","https://openalex.org/W6602211262","https://openalex.org/W6736935651"],"related_works":["https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W2059356388","https://openalex.org/W2024640171","https://openalex.org/W325114128"],"abstract_inverted_index":{"Face":[0],"hallucination":[1],"(FH)":[2],"is":[3],"an":[4],"effective":[5],"technique":[6],"for":[7,55,78],"super-resolving":[8],"low-resolution":[9],"(LR)":[10],"face":[11,17,80],"images.":[12],"In":[13],"real-world":[14],"applications,":[15],"a":[16,44,70],"image":[18],"usually":[19],"has":[20,86],"multiple":[21,34,83,95],"distinct":[22],"low":[23],"resolutions.":[24,97],"Most":[25],"existing":[26],"FH":[27,108],"methods":[28],"can":[29],"not":[30],"effectively":[31],"deal":[32],"with":[33,82],"LR":[35],"views":[36],"simultaneously.":[37],"To":[38],"solve":[39],"this":[40],"issue,":[41],"we":[42,68],"present":[43,69],"multi-set":[45],"partial":[46],"least":[47],"squares":[48],"(MPLS)":[49],"approach":[50],"and":[51,103],"its":[52],"kernel":[53],"extension":[54],"jointly":[56,89],"learning":[57,90],"the":[58,79,91,101],"nonlinear":[59,66,92],"consistency":[60],"of":[61,88,105],"multi-resolution":[62],"facial":[63,75,96],"features.":[64],"With":[65],"MPLS,":[67],"novel":[71],"simultaneous":[72],"super-resolution":[73],"coherent":[74],"feature":[76],"method":[77],"images":[81],"LRs,":[84],"which":[85],"capacity":[87],"relationships":[93],"between":[94],"Experimental":[98],"results":[99],"demonstrate":[100],"effectiveness":[102],"robustness":[104],"our":[106],"proposed":[107],"method.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
