{"id":"https://openalex.org/W4293826160","doi":"https://doi.org/10.1145/3503161.3547907","title":"Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution","display_name":"Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4293826160","doi":"https://doi.org/10.1145/3503161.3547907"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3547907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547907","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2208.13436","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037261683","display_name":"Yifeng Zhou","orcid":"https://orcid.org/0000-0001-5412-8526"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifeng Zhou","raw_affiliation_strings":["Youtu Lab, Tencent, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Youtu Lab, Tencent, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090180766","display_name":"Chuming Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuming Lin","raw_affiliation_strings":["Youtu Lab, Tencent, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Youtu Lab, Tencent, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027893969","display_name":"Donghao Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghao Luo","raw_affiliation_strings":["Youtu Lab, Tencent, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Youtu Lab, Tencent, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028071674","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0002-6739-621X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Youtu Lab, Tencent, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Youtu Lab, Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029021362","display_name":"Ying Tai","orcid":"https://orcid.org/0000-0002-4665-6852"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Tai","raw_affiliation_strings":["Youtu Lab, Tencent, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Youtu Lab, Tencent, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023834700","display_name":"Chengjie Wang","orcid":"https://orcid.org/0000-0003-4216-8090"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjie Wang","raw_affiliation_strings":["Youtu Lab, Tencent, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Youtu Lab, Tencent, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029237672","display_name":"Mingang Chen","orcid":"https://orcid.org/0000-0002-0718-8187"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingang Chen","raw_affiliation_strings":["Shanghai Development Center of Computer Software Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Development Center of Computer Software Technology, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5037261683"],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":0.8375,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81596877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2606","last_page":"2616"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.988099992275238,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9871000051498413,"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":0.7579306960105896},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.7044888138771057},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6467602849006653},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.641839861869812},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6415532827377319},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5599497556686401},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5385627746582031},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.5362561941146851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4982883930206299},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4813412129878998},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4640777111053467},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.464011549949646},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.44861075282096863},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.39270204305648804},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10090023279190063}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579306960105896},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.7044888138771057},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6467602849006653},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.641839861869812},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6415532827377319},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5599497556686401},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5385627746582031},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.5362561941146851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4982883930206299},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4813412129878998},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4640777111053467},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.464011549949646},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.44861075282096863},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.39270204305648804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10090023279190063},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3503161.3547907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547907","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2208.13436","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.13436","pdf_url":"https://arxiv.org/pdf/2208.13436","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2208.13436","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.13436","pdf_url":"https://arxiv.org/pdf/2208.13436","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2057126662","https://openalex.org/W2121927366","https://openalex.org/W2157444450","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2331128040","https://openalex.org/W2503339013","https://openalex.org/W2603777577","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2750549109","https://openalex.org/W2866634454","https://openalex.org/W2953133772","https://openalex.org/W2954930822","https://openalex.org/W2962785568","https://openalex.org/W2962814024","https://openalex.org/W2963470893","https://openalex.org/W2963729050","https://openalex.org/W2963814095","https://openalex.org/W2964125708","https://openalex.org/W2964277374","https://openalex.org/W2983467712","https://openalex.org/W3005680577","https://openalex.org/W3016355810","https://openalex.org/W3035219913","https://openalex.org/W3035302306","https://openalex.org/W3035304632","https://openalex.org/W3035524453","https://openalex.org/W3092290620","https://openalex.org/W3094502228","https://openalex.org/W3095495550","https://openalex.org/W3096739052","https://openalex.org/W3098616015","https://openalex.org/W3108655343","https://openalex.org/W3168684807","https://openalex.org/W3176334871","https://openalex.org/W3179626733","https://openalex.org/W3189313316","https://openalex.org/W3203631022","https://openalex.org/W3211778107","https://openalex.org/W4221157534","https://openalex.org/W4231167724","https://openalex.org/W4236965008","https://openalex.org/W4285661751","https://openalex.org/W4287552104","https://openalex.org/W4287824590","https://openalex.org/W4288107876","https://openalex.org/W4298392648","https://openalex.org/W4312509301","https://openalex.org/W4377561911"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4389832810","https://openalex.org/W4220682630","https://openalex.org/W3181622257","https://openalex.org/W3163146846"],"abstract_inverted_index":{"To":[0],"achieve":[1],"promising":[2],"results":[3],"on":[4,89,154,171],"blind":[5],"image":[6],"super-resolution":[7],"(SR),some":[8],"attempts":[9],"leveraged":[10],"the":[11,18,22,36,54,67,80,137,149,159,163,178],"low":[12],"resolution":[13],"(LR)":[14],"images":[15],"to":[16,35,50,117,134],"predict":[17],"kernel":[19],"and":[20,59,72,82,94,121,167,173],"improve":[21],"SR":[23,60,73,97],"performance.":[24],"However,":[25],"these":[26],"Supervised":[27],"Kernel":[28],"Prediction":[29,45],"(SKP)":[30],"methods":[31,47],"are":[32,48],"impractical":[33],"due":[34],"unavailable":[37],"real-world":[38],"blur":[39],"kernels.":[40],"Although":[41],"some":[42],"Unsupervised":[43],"Degradation":[44,95],"(UDP)":[46],"proposed":[49,160],"bypass":[51],"this":[52,90],"problem,":[53],"inconsistency":[55],"between":[56,69],"degradation":[57,70,83,122],"embedding":[58,71],"feature":[61,85],"is":[62,86,101,115,132],"still":[63],"challenging.":[64],"By":[65],"exploring":[66],"correlations":[68],"feature,":[74],"we":[75],"observe":[76],"that":[77,146,158],"jointly":[78,118],"learning":[79],"content":[81,120],"aware":[84,96],"optimal.":[87],"Based":[88],"observation,":[91],"a":[92,110,125,140],"Content":[93],"Network":[98],"dubbed":[99],"CDSR":[100,104,161],"proposed.":[102],"Specifically,":[103],"contains":[105],"three":[106],"newly-established":[107],"modules:":[108],"(1)":[109],"Lightweight":[111],"Patch-based":[112],"Encoder":[113],"(LPE)":[114],"applied":[116],"extract":[119],"features;":[123],"(2)":[124],"Domain":[126],"Query":[127],"Attention":[128],"based":[129],"module":[130,144],"(DQA)":[131],"employed":[133],"adaptively":[135],"reduce":[136],"inconsistency;":[138],"(3)":[139],"Codebook-based":[141],"Space":[142],"Compress":[143],"(CSC)":[145],"can":[147],"suppress":[148],"redundant":[150],"information.":[151],"Extensive":[152],"experiments":[153],"several":[155],"benchmarks":[156],"demonstrate":[157],"outperforms":[162],"existing":[164],"UDP":[165],"models":[166],"achieves":[168],"competitive":[169],"performance":[170],"PSNR":[172],"SSIM":[174],"even":[175],"compared":[176],"with":[177],"state-of-the-art":[179],"SKP":[180],"methods.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-08-31T00:00:00"}
