{"id":"https://openalex.org/W4391661509","doi":"https://doi.org/10.1109/tpami.2024.3361168","title":"Self-Supervised Deep Blind Video Super-Resolution","display_name":"Self-Supervised Deep Blind Video Super-Resolution","publication_year":2024,"publication_date":"2024-02-08","ids":{"openalex":"https://openalex.org/W4391661509","doi":"https://doi.org/10.1109/tpami.2024.3361168","pmid":"https://pubmed.ncbi.nlm.nih.gov/38329850"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3361168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3361168","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5040118825","display_name":"Haoran Bai","orcid":"https://orcid.org/0000-0002-3259-4339"},"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":true,"raw_author_name":"Haoran Bai","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004164569","display_name":"Jinshan Pan","orcid":"https://orcid.org/0000-0003-0304-9507"},"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":"Jinshan Pan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040118825"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":3.6894,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94032366,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"46","issue":"7","first_page":"4641","last_page":"4653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9957000017166138,"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":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7849124670028687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7589707374572754},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.656460165977478},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5960648655891418},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5932979583740234},{"id":"https://openalex.org/keywords/decimation","display_name":"Decimation","score":0.5281213521957397},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.5250099301338196},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4402358829975128},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.41132423281669617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30141544342041016},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28943249583244324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11420449614524841},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.11054068803787231}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849124670028687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7589707374572754},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.656460165977478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5960648655891418},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5932979583740234},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.5281213521957397},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.5250099301338196},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4402358829975128},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.41132423281669617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30141544342041016},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28943249583244324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11420449614524841},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.11054068803787231},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3361168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3361168","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38329850","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38329850","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.41999998688697815,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1126053830","display_name":null,"funder_award_id":"30920041109","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2058835121","display_name":null,"funder_award_id":"U22B2049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3940598769","display_name":null,"funder_award_id":"62332010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G654664898","display_name":null,"funder_award_id":"61922043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1522301498","https://openalex.org/W1913633284","https://openalex.org/W2010981316","https://openalex.org/W2081385919","https://openalex.org/W2087380704","https://openalex.org/W2102166818","https://openalex.org/W2109586214","https://openalex.org/W2138204001","https://openalex.org/W2138714160","https://openalex.org/W2167191464","https://openalex.org/W2210480155","https://openalex.org/W2242218935","https://openalex.org/W2320725294","https://openalex.org/W2476548250","https://openalex.org/W2557227117","https://openalex.org/W2610638008","https://openalex.org/W2781335552","https://openalex.org/W2798664922","https://openalex.org/W2866634454","https://openalex.org/W2883102461","https://openalex.org/W2923834406","https://openalex.org/W2953823547","https://openalex.org/W2962814024","https://openalex.org/W2963372104","https://openalex.org/W2963704386","https://openalex.org/W2963782415","https://openalex.org/W2963945023","https://openalex.org/W2964040059","https://openalex.org/W2965669158","https://openalex.org/W2971292464","https://openalex.org/W3034259513","https://openalex.org/W3034475761","https://openalex.org/W3035047434","https://openalex.org/W3035086889","https://openalex.org/W3035304632","https://openalex.org/W3157035436","https://openalex.org/W3176148916","https://openalex.org/W4214768308","https://openalex.org/W6631190155","https://openalex.org/W6749271710","https://openalex.org/W6767785265","https://openalex.org/W6784110152","https://openalex.org/W6839136058"],"related_works":["https://openalex.org/W1524890377","https://openalex.org/W2340678901","https://openalex.org/W1508038409","https://openalex.org/W4206530213","https://openalex.org/W3094967876","https://openalex.org/W3112636134","https://openalex.org/W2167191464","https://openalex.org/W4380632338","https://openalex.org/W3041957019","https://openalex.org/W4226296458"],"abstract_inverted_index":{"Existing":[0],"deep":[1],"learning-based":[2],"video":[3,91,140,163,183],"super-resolution":[4],"(SR)":[5],"methods":[6],"usually":[7,19,113],"depend":[8],"on":[9,195],"the":[10,15,22,47,67,89,103,136,144,151,176],"supervised":[11],"learning":[12,85],"approach,":[13],"where":[14],"training":[16],"data":[17,129,154],"is":[18,50,75],"generated":[20,152],"by":[21,34,56,150],"blurring":[23],"operation":[24],"with":[25],"known":[26],"or":[27],"predefined":[28],"kernels":[29,98],"(e.g.,":[30],"Bicubic":[31],"kernel)":[32],"followed":[33],"a":[35,83,120],"decimation":[36],"operation.":[37],"However,":[38],"this":[39],"does":[40],"not":[41],"hold":[42],"for":[43,155,181],"real":[44],"applications":[45],"as":[46,111],"degradation":[48],"process":[49],"complex":[51],"and":[52,66,99,122,160,197],"cannot":[53],"be":[54,147],"approximated":[55],"these":[57,79],"idea":[58],"cases":[59],"well.":[60],"Moreover,":[61],"obtaining":[62],"high-resolution":[63],"(HR)":[64],"videos":[65,101,110,133],"corresponding":[68],"low-resolution":[69],"(LR)":[70],"ones":[71,194],"in":[72],"real-world":[73,198],"scenarios":[74],"difficult.":[76],"To":[77],"overcome":[78],"problems,":[80],"we":[81,118,167],"propose":[82],"self-supervised":[84],"method":[86,124,189],"to":[87,115,125,135,174],"solve":[88],"blind":[90],"SR":[92],"problem,":[93],"which":[94],"simultaneously":[95],"estimates":[96],"blur":[97,157],"HR":[100,162,182],"from":[102,130,178],"LR":[104,109,132],"videos.":[105,199],"As":[106],"directly":[107],"using":[108],"supervision":[112],"leads":[114],"trivial":[116],"solutions,":[117],"develop":[119],"simple":[121],"effective":[123],"generate":[126],"auxiliary":[127],"paired":[128,153],"original":[131],"according":[134],"image":[137],"formation":[138],"of":[139],"SR,":[141],"so":[142],"that":[143,187],"networks":[145],"can":[146],"better":[148],"constrained":[149],"both":[156],"kernel":[158],"estimation":[159,172],"latent":[161],"restoration.":[164,184],"In":[165],"addition,":[166],"introduce":[168],"an":[169],"optical":[170],"flow":[171],"module":[173],"exploit":[175],"information":[177],"adjacent":[179],"frames":[180],"Experiments":[185],"show":[186],"our":[188],"performs":[190],"favorably":[191],"against":[192],"state-of-the-art":[193],"benchmarks":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}