{"id":"https://openalex.org/W3006388135","doi":"https://doi.org/10.1109/icb45273.2019.8987243","title":"Adversarial Iris Super Resolution","display_name":"Adversarial Iris Super Resolution","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3006388135","doi":"https://doi.org/10.1109/icb45273.2019.8987243","mag":"3006388135"},"language":"en","primary_location":{"id":"doi:10.1109/icb45273.2019.8987243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","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/A5056699273","display_name":"Yanqing Guo","orcid":"https://orcid.org/0000-0001-9123-140X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanqing Guo","raw_affiliation_strings":["Dalian University of Technology,School of Information and Communication Engineering,China","School of Information and Communication Engineering, Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Information and Communication Engineering,China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754314","display_name":"Qianyu Wang","orcid":"https://orcid.org/0000-0002-1244-1896"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianyu Wang","raw_affiliation_strings":["Dalian University of Technology,School of Information and Communication Engineering,China","School of Information and Communication Engineering, Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Information and Communication Engineering,China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005195235","display_name":"Huaibo Huang","orcid":"https://orcid.org/0000-0001-5866-2283"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaibo Huang","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Artificial Intelligence,Beijing,China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018639123","display_name":"Xin Zheng","orcid":"https://orcid.org/0000-0001-6686-2090"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zheng","raw_affiliation_strings":["Dalian University of Technology,School of Information and Communication Engineering,China","School of Information and Communication Engineering, Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Information and Communication Engineering,China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101869968","display_name":"Zhaofeng He","orcid":"https://orcid.org/0000-0002-0110-0156"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaofeng He","raw_affiliation_strings":["CASIA,Center for Research on Intelligent Perception and Computing","Center for Research on Intelligent Perception and Computing, CASIA"],"affiliations":[{"raw_affiliation_string":"CASIA,Center for Research on Intelligent Perception and Computing","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, CASIA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056699273"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.4089,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67424995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9900000095367432,"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":0.9900000095367432,"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/T10828","display_name":"Biometric Identification and Security","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9793000221252441,"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":0.7989305257797241},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.7918955683708191},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.7292193174362183},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7170060873031616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6262460350990295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5135939121246338},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5063074827194214},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.43548017740249634},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4293380081653595},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42009374499320984},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41467222571372986},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38511717319488525},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.24029812216758728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989305257797241},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.7918955683708191},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.7292193174362183},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7170060873031616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6262460350990295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5135939121246338},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5063074827194214},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.43548017740249634},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4293380081653595},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42009374499320984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41467222571372986},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38511717319488525},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.24029812216758728},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icb45273.2019.8987243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"},{"id":"mag:3041264598","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002266238575587","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W857158685","https://openalex.org/W1522301498","https://openalex.org/W1885185971","https://openalex.org/W1991635910","https://openalex.org/W1992358283","https://openalex.org/W2099471712","https://openalex.org/W2133665775","https://openalex.org/W2137823674","https://openalex.org/W2151103935","https://openalex.org/W2242218935","https://openalex.org/W2296686320","https://openalex.org/W2507096059","https://openalex.org/W2522581718","https://openalex.org/W2575689374","https://openalex.org/W2614270234","https://openalex.org/W2758890601","https://openalex.org/W2765405815","https://openalex.org/W2780544323","https://openalex.org/W2780564062","https://openalex.org/W2784225224","https://openalex.org/W2963446712","https://openalex.org/W2963460857","https://openalex.org/W2963470893","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6680017387","https://openalex.org/W6690498163"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2759939383","https://openalex.org/W2952386695","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2557390811","https://openalex.org/W3133795085","https://openalex.org/W3213945064","https://openalex.org/W2784078054"],"abstract_inverted_index":{"Low":[0],"resolution":[1,24,99],"iris":[2,6,22,53,101],"images":[3],"often":[4],"degrade":[5],"recognition":[7],"performance":[8],"due":[9],"to":[10,50,68,84,90],"the":[11,33,64,76,109],"lack":[12],"of":[13,72,97],"enough":[14],"texture":[15,54,70],"details.":[16],"This":[17],"paper":[18],"proposes":[19],"an":[20,86],"adversarial":[21,34,58],"super":[23,98],"method":[25,111],"using":[26],"a":[27,81],"densely":[28,39,65],"connected":[29,40,66],"convolutional":[30],"network":[31,41,59,67,83],"and":[32,100],"learning,":[35],"namely":[36],"IrisDNet.":[37],"The":[38],"is":[42,60],"employed":[43],"for":[44,75],"maximum":[45],"information":[46],"flow":[47],"between":[48],"layers":[49],"achieve":[51,91],"high":[52],"reconstruction":[55],"performance.":[56],"An":[57],"further":[61],"incorporated":[62],"into":[63],"sharpen":[69],"details":[71],"iris.":[73],"Moreover,":[74],"identity":[77,87,121],"persistence,":[78],"we":[79],"employ":[80],"pretrained":[82],"compute":[85],"preserving":[88],"loss":[89],"semantic":[92],"preserved":[93],"patterns.":[94],"Extensive":[95],"experiments":[96],"verification":[102],"on":[103],"multiple":[104],"upscaling":[105],"factors":[106],"demonstrate":[107],"that":[108],"proposed":[110],"achieves":[112],"pleasing":[113],"results":[114],"with":[115],"abundant":[116],"high-frequency":[117],"textures":[118],"while":[119],"maintaining":[120],"information.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
