{"id":"https://openalex.org/W3207616984","doi":"https://doi.org/10.1145/3474085.3475356","title":"Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation","display_name":"Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3207616984","doi":"https://doi.org/10.1145/3474085.3475356","mag":"3207616984"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475356","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","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/A5042739111","display_name":"Qinyan Dai","orcid":"https://orcid.org/0009-0008-7895-9728"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinyan Dai","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648014","display_name":"Juncheng Li","orcid":"https://orcid.org/0000-0001-7314-6754"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juncheng Li","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046357019","display_name":"Qiaosi Yi","orcid":"https://orcid.org/0000-0001-9720-4322"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaosi Yi","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044588347","display_name":"Faming Fang","orcid":"https://orcid.org/0000-0003-4511-4813"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faming Fang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060120202","display_name":"Guixu Zhang","orcid":"https://orcid.org/0000-0003-4720-6607"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixu Zhang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042739111"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":4.461,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.95787537,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1985","last_page":"1993"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9991000294685364,"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":0.9933000206947327,"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":0.6839808225631714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6431196331977844},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6062400937080383},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5973537564277649},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5737906098365784},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5460909605026245},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5118092894554138},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4257621467113495},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1067175567150116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839808225631714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6431196331977844},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6062400937080383},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5973537564277649},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5737906098365784},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5460909605026245},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5118092894554138},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4257621467113495},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1067175567150116},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474085.3475356","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","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":18,"referenced_works":["https://openalex.org/W1921093919","https://openalex.org/W2104974755","https://openalex.org/W2141568386","https://openalex.org/W2148600052","https://openalex.org/W2259424905","https://openalex.org/W2799046095","https://openalex.org/W2883040756","https://openalex.org/W2886944874","https://openalex.org/W2895598217","https://openalex.org/W2946608878","https://openalex.org/W2950673314","https://openalex.org/W2976021265","https://openalex.org/W2997569773","https://openalex.org/W2999912553","https://openalex.org/W3005533314","https://openalex.org/W3087980862","https://openalex.org/W3099671332","https://openalex.org/W3136148319"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2294441925","https://openalex.org/W2142226356","https://openalex.org/W2056165575","https://openalex.org/W3210000161"],"abstract_inverted_index":{"Under":[0],"stereo":[1,69],"settings,":[2],"the":[3,15,24,35,39,47,68,91,106,111,119,134,147,168,175],"problem":[4,19],"of":[5,17,29,95,179],"image":[6,70,170],"super-resolution":[7,71],"(SR)":[8],"and":[9,59,72,79,102,177],"disparity":[10,73,127,160],"estimation":[11,74,128],"are":[12,122],"interrelated":[13],"that":[14],"result":[16],"each":[18,83],"could":[20],"help":[21],"to":[22,51,85,124,140,162,165],"solve":[23],"other.":[25],"The":[26],"effective":[27],"exploitation":[28,109],"correspondence":[30,48],"between":[31],"different":[32],"views":[33],"facilitates":[34],"SR":[36,120,144,169],"performance,":[37],"while":[38],"high-resolution":[40],"(HR)":[41],"features":[42,136],"with":[43,82,129],"richer":[44],"details":[45],"benefit":[46],"estimation.":[49],"According":[50],"this":[52],"motivation,":[53],"we":[54],"propose":[55],"a":[56,76,142],"Stereo":[57],"Super-Resolution":[58],"Disparity":[60,150],"Estimation":[61],"Feedback":[62,152],"Network":[63],"(SSRDE-FNet),":[64],"which":[65,133],"simultaneously":[66],"handles":[67],"in":[75,110],"unified":[77],"framework":[78],"interact":[80],"them":[81],"other":[84],"further":[86,166],"improve":[87],"their":[88],"performance.":[89],"Specifically,":[90],"SSRDE-FNet":[92],"is":[93],"composed":[94],"two":[96],"dual":[97],"recursive":[98],"sub-networks":[99],"for":[100],"left":[101],"right":[103],"views.":[104],"Besides":[105],"cross-view":[107],"information":[108,156],"low-resolution":[112],"(LR)":[113],"space,":[114],"HR":[115,126,135,149,159],"representations":[116],"produced":[117],"by":[118,158],"process":[121],"utilized":[123],"perform":[125],"higher":[130],"accuracy,":[131],"through":[132],"can":[137],"be":[138],"aggregated":[139],"generate":[141],"finer":[143],"result.":[145],"Afterward,":[146],"proposed":[148],"Information":[151],"(HRDIF)":[153],"mechanism":[154],"delivers":[155],"carried":[157],"back":[161],"previous":[163],"layers":[164],"refine":[167],"reconstruction.":[171],"Extensive":[172],"experiments":[173],"demonstrate":[174],"effectiveness":[176],"advancement":[178],"SSRDE-FNet.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
