{"id":"https://openalex.org/W2620724120","doi":"https://doi.org/10.1109/tsmc.2017.2705480","title":"Collaborative Representation Cascade for Single-Image Super-Resolution","display_name":"Collaborative Representation Cascade for Single-Image Super-Resolution","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2620724120","doi":"https://doi.org/10.1109/tsmc.2017.2705480","mag":"2620724120"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2017.2705480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2017.2705480","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-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/A5101653272","display_name":"Yongbing Zhang","orcid":"https://orcid.org/0009-0008-1568-3728"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongbing Zhang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Graduate School at Shenzhen, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3320-2904","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074865219","display_name":"Yulun Zhang","orcid":"https://orcid.org/0000-0002-2288-5079"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulun Zhang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Graduate School at Shenzhen, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2288-5079","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409856","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0001-5486-3125"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Image and Video Understanding Laboratory, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Understanding Laboratory, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082181536","display_name":"Dong Xu","orcid":"https://orcid.org/0000-0003-2775-9730"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dong Xu","raw_affiliation_strings":["School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2775-9730","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005819096","display_name":"Yun Fu","orcid":"https://orcid.org/0000-0002-5098-2853"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Fu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101431030","display_name":"Yisen Wang","orcid":"https://orcid.org/0000-0002-0181-2137"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisen Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Ji","raw_affiliation_strings":["TNLIST and the Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7333-9975","affiliations":[{"raw_affiliation_string":"TNLIST and the Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080722708","display_name":"Qionghai Dai","orcid":"https://orcid.org/0000-0001-7043-3061"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qionghai Dai","raw_affiliation_strings":["TNLIST and the Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7043-3061","affiliations":[{"raw_affiliation_string":"TNLIST and the Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101653272"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.9413,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.92034491,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"49","issue":"5","first_page":"845","last_page":"860"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9970999956130981,"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":0.9954000115394592,"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/cascade","display_name":"Cascade","score":0.7457194924354553},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.7169139385223389},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7122077345848083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6992660164833069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6562494039535522},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5610609650611877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5566415190696716},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5548499822616577},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5412759780883789},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45454710721969604},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4108423888683319},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41055041551589966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2380589246749878},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.10743251442909241},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.051464617252349854}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7457194924354553},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.7169139385223389},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7122077345848083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6992660164833069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6562494039535522},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5610609650611877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5566415190696716},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5548499822616577},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5412759780883789},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45454710721969604},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4108423888683319},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41055041551589966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2380589246749878},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.10743251442909241},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.051464617252349854},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsmc.2017.2705480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2017.2705480","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"},{"id":"pmh:oai:repository.kaust.edu.sa:10754/653043","is_oa":false,"landing_page_url":"http://hdl.handle.net/10754/653043","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G222694837","display_name":null,"funder_award_id":"61571254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6061191929","display_name":null,"funder_award_id":"61325003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6161485187","display_name":null,"funder_award_id":"U1301257","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W135113724","https://openalex.org/W935139217","https://openalex.org/W1580389772","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W1949096787","https://openalex.org/W1950594372","https://openalex.org/W1974898730","https://openalex.org/W1978749115","https://openalex.org/W1992408872","https://openalex.org/W1994635760","https://openalex.org/W1995228944","https://openalex.org/W2011952414","https://openalex.org/W2014677380","https://openalex.org/W2016409132","https://openalex.org/W2039539938","https://openalex.org/W2046119925","https://openalex.org/W2047920195","https://openalex.org/W2053186076","https://openalex.org/W2057065563","https://openalex.org/W2065277358","https://openalex.org/W2073795739","https://openalex.org/W2096026309","https://openalex.org/W2098506229","https://openalex.org/W2104371740","https://openalex.org/W2111634407","https://openalex.org/W2117865218","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2127271355","https://openalex.org/W2128565946","https://openalex.org/W2131024476","https://openalex.org/W2132467081","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2142884912","https://openalex.org/W2148312679","https://openalex.org/W2149760002","https://openalex.org/W2149829210","https://openalex.org/W2150081556","https://openalex.org/W2157190232","https://openalex.org/W2157494358","https://openalex.org/W2161516371","https://openalex.org/W2163093909","https://openalex.org/W2172128189","https://openalex.org/W2196919019","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2263468737","https://openalex.org/W2290061803","https://openalex.org/W2295438126","https://openalex.org/W2296458386","https://openalex.org/W2317421944","https://openalex.org/W2331399661","https://openalex.org/W2345027323","https://openalex.org/W2534320940","https://openalex.org/W2911964244","https://openalex.org/W3104720471","https://openalex.org/W6602211262","https://openalex.org/W6624640001","https://openalex.org/W6634589695","https://openalex.org/W6638194035","https://openalex.org/W6676509103","https://openalex.org/W6683660953"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W2785996895","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2074682865","https://openalex.org/W2052574922","https://openalex.org/W3088281185","https://openalex.org/W1519931592","https://openalex.org/W2538403599"],"abstract_inverted_index":{"Most":[0],"recent":[1],"learning-based":[2],"single-image":[3],"superresolution":[4],"methods":[5],"first":[6],"interpolate":[7],"the":[8,27,40,65,74,79,87,125,128,140,149,172,177,187,198,209],"low-resolution":[9],"(LR)":[10],"input,":[11],"from":[12,78,86,127,208],"which":[13],"overlapped":[14],"LR":[15,58,75,116,136,174,206,210],"features":[16,126,207],"are":[17,181],"then":[18],"extracted":[19],"to":[20,36,45,56,132,158,170,224],"reconstruct":[21],"their":[22,154],"high-resolution":[23],"(HR)":[24],"counterparts":[25,157],"and":[26,117,134,153,212],"final":[28],"HR":[29,43,118,156,179,226],"image.":[30,227],"However,":[31],"most":[32],"of":[33,39,67,205],"them":[34],"neglect":[35],"take":[37],"advantage":[38],"intermediate":[41,129,150,178,213],"recovered":[42,130,151],"image":[44,47,131,211,234,246],"enhance":[46,135],"quality":[48],"further.":[49],"We":[50],"conduct":[51],"principal":[52,68],"component":[53],"analysis":[54],"(PCA)":[55],"reduce":[57],"feature":[59,76,119],"dimension.":[60],"Then":[61],"we":[62,98,123,147,164,192,201],"find":[63],"that":[64,85,110,239],"number":[66],"components":[69],"after":[70],"conducting":[71],"PCA":[72],"in":[73,216],"space":[77],"reconstructed":[80],"images":[81,89],"is":[82,222],"larger":[83],"than":[84],"interpolated":[88],"by":[90],"using":[91],"bicubic":[92],"interpolation.":[93],"Based":[94],"on":[95,230],"this":[96,166],"observation,":[97],"present":[99],"an":[100],"unsophisticated":[101],"yet":[102],"effective":[103],"framework":[104],"named":[105],"collaborative":[106],"representation":[107],"cascade":[108,145,189,218],"(CRC)":[109],"learns":[111],"multilayer":[112,194],"mapping":[113,161,168,195,220],"models":[114],"between":[115],"pairs.":[120],"In":[121,139,197],"particular,":[122],"extract":[124,202],"upscale":[133],"input":[137],"progressively.":[138],"learning":[141],"phase,":[142,200],"for":[143,186],"each":[144,217],"layer,":[146,190,219],"use":[148,165],"results":[152],"original":[155,173],"learn":[159],"single-layer":[160,167],"model.":[162],"Then,":[163,215],"model":[169,221],"super-resolve":[171],"inputs.":[175],"And":[176],"outputs":[180],"regarded":[182],"as":[183],"training":[184],"inputs":[185],"next":[188],"until":[191],"obtain":[193],"models.":[196],"reconstruction":[199],"multiple":[203],"sets":[204],"recovered.":[214],"utilized":[223],"pursue":[225],"Our":[228],"experiments":[229],"several":[231],"commonly":[232],"used":[233],"SR":[235,247],"testing":[236],"datasets":[237],"show":[238],"our":[240],"proposed":[241],"CRC":[242],"method":[243],"achieves":[244],"state-of-the-art":[245],"results.":[248]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
