{"id":"https://openalex.org/W4386825019","doi":"https://doi.org/10.1109/access.2023.3316885","title":"Recurrent Feature Updating Network for Video Super-Resolution","display_name":"Recurrent Feature Updating Network for Video Super-Resolution","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386825019","doi":"https://doi.org/10.1109/access.2023.3316885"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3316885","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3316885","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10254512.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10254512.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Guofang Li","orcid":"https://orcid.org/0000-0003-3865-781X"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guofang Li","raw_affiliation_strings":["School of Information and Communication Engineering, Communication University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3865-781X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011356533","display_name":"Yonggui Zhu","orcid":"https://orcid.org/0000-0002-0048-2084"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggui Zhu","raw_affiliation_strings":["School of Data Science and Media Intelligence, Communication University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0048-2084","affiliations":[{"raw_affiliation_string":"School of Data Science and Media Intelligence, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2127,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49630537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"11","issue":null,"first_page":"103476","last_page":"103485"},"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":0.9976999759674072,"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":0.9937000274658203,"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":0.8649646043777466},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.8021158576011658},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7083252668380737},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.703786313533783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5504428744316101},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5134338140487671},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4571535289287567},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4538527727127075},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44550856947898865},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.4427459239959717},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3301931619644165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8649646043777466},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8021158576011658},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7083252668380737},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.703786313533783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5504428744316101},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5134338140487671},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4571535289287567},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4538527727127075},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44550856947898865},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.4427459239959717},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3301931619644165},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3316885","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3316885","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10254512.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f77990f582934016bb76ae86226d91c5","is_oa":true,"landing_page_url":"https://doaj.org/article/f77990f582934016bb76ae86226d91c5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 103476-103485 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3316885","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3316885","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10254512.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1590802395","display_name":"\u57fa\u4e8e\u538b\u7f29\u611f\u77e5\u7684\u6838\u78c1\u5171\u632f\u6210\u50cf\u95ee\u9898\u9a71\u52a8\u7684\u5e94\u7528\u6570\u5b66\u7814\u7a76","funder_award_id":"11571325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3360495893","display_name":null,"funder_award_id":"CUC2019 A002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G402229081","display_name":null,"funder_award_id":"No. 11571325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4675189112","display_name":null,"funder_award_id":"No. CUC2019 A002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386825019.pdf","grobid_xml":"https://content.openalex.org/works/W4386825019.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2010981316","https://openalex.org/W2032916342","https://openalex.org/W2157190232","https://openalex.org/W2320725294","https://openalex.org/W2476548250","https://openalex.org/W2548527721","https://openalex.org/W2557227117","https://openalex.org/W2746400563","https://openalex.org/W2769654144","https://openalex.org/W2798664922","https://openalex.org/W2866634454","https://openalex.org/W2902917151","https://openalex.org/W2904835235","https://openalex.org/W2923834406","https://openalex.org/W2962927175","https://openalex.org/W2963372104","https://openalex.org/W2964040059","https://openalex.org/W2965669158","https://openalex.org/W2986833982","https://openalex.org/W3010644855","https://openalex.org/W3014447010","https://openalex.org/W3022669000","https://openalex.org/W3032400974","https://openalex.org/W3034475761","https://openalex.org/W3035022492","https://openalex.org/W3035047434","https://openalex.org/W3048880593","https://openalex.org/W3088779065","https://openalex.org/W3095671795","https://openalex.org/W3102015846","https://openalex.org/W3104962140","https://openalex.org/W3111153007","https://openalex.org/W3115104302","https://openalex.org/W3138525858","https://openalex.org/W3157035436","https://openalex.org/W3159204917","https://openalex.org/W3169612303","https://openalex.org/W3198884575","https://openalex.org/W3213453744","https://openalex.org/W3216002675","https://openalex.org/W4206536886","https://openalex.org/W4206741975","https://openalex.org/W4210562387","https://openalex.org/W4214602694","https://openalex.org/W4214679693","https://openalex.org/W4226226663","https://openalex.org/W4283364414","https://openalex.org/W4287020683","https://openalex.org/W4310748226","https://openalex.org/W4310844203","https://openalex.org/W4312359350","https://openalex.org/W4312431312","https://openalex.org/W4312434878","https://openalex.org/W4312936768","https://openalex.org/W4313152909","https://openalex.org/W4320086221","https://openalex.org/W4320410033","https://openalex.org/W4320901937","https://openalex.org/W4322576618","https://openalex.org/W4376253650","https://openalex.org/W4382998731","https://openalex.org/W4386453635","https://openalex.org/W6602211262","https://openalex.org/W6782135848","https://openalex.org/W6796568838","https://openalex.org/W6806688969","https://openalex.org/W6842897173","https://openalex.org/W6849868924","https://openalex.org/W6850160132"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W4386541577"],"abstract_inverted_index":{"Temporal":[0],"modeling":[1],"is":[2,35,66,164],"the":[3,19,26,32,39,45,55,72,77,83,98,101,105,111,115,122,126],"essential":[4],"to":[5,16,53,68,75,89,95,113,120],"achieve":[6],"video":[7,161],"super-resolution.":[8,162],"Most":[9],"models":[10],"use":[11],"alignment":[12],"or":[13],"recurrent":[14,58],"methods":[15],"directly":[17,30],"exploit":[18,114],"temporal":[20,116],"information":[21,28,74,124],"of":[22,44,57,79,100,128],"consecutive":[23],"frames.":[24],"However,":[25],"feature":[27,59,63],"extracted":[29],"from":[31],"input":[33,73],"frames":[34],"coarse,":[36],"which":[37,151],"affects":[38],"performance":[40,91,99,159],"and":[41,70,92,142,148],"generalization":[42],"ability":[43],"model.":[46],"Thus,":[47],"in":[48,125],"this":[49],"paper,":[50],"we":[51,103],"propose":[52,104],"investigate":[54],"role":[56],"updating":[60],"networks.":[61],"The":[62],"update":[64,69],"module":[65],"proposed":[67,135,155],"optimize":[71],"improve":[76,90,97],"accuracy":[78],"features.":[80],"We":[81],"design":[82],"model":[84,112,136,156],"as":[85],"a":[86],"multi-stage":[87],"form":[88],"generalization.":[93],"Moreover,":[94],"further":[96],"model,":[102],"difference":[106],"supplement":[107],"module.":[108],"It":[109],"allows":[110],"differences":[117],"between":[118],"groups":[119],"complement":[121],"missing":[123],"output":[127],"each":[129],"stage.":[130],"Experiments":[131],"demonstrate":[132],"that":[133,153],"our":[134,154],"achieves":[137,157],"27.78":[138],"dB,":[139,141],"30.44":[140],"39.38":[143],"dB":[144],"on":[145,160],"Vid4,":[146],"SPMCS,":[147],"UDM10,":[149],"respectively,":[150],"indicates":[152],"state-of-the-art":[158],"Code":[163],"available":[165],"at":[166],"https://github.com/gfli123/RFUN.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}