{"id":"https://openalex.org/W3111661922","doi":"https://doi.org/10.1109/ipta50016.2020.9286636","title":"Deep Unrolled Network for Video Super-Resolution","display_name":"Deep Unrolled Network for Video Super-Resolution","publication_year":2020,"publication_date":"2020-11-09","ids":{"openalex":"https://openalex.org/W3111661922","doi":"https://doi.org/10.1109/ipta50016.2020.9286636","mag":"3111661922"},"language":"en","primary_location":{"id":"doi:10.1109/ipta50016.2020.9286636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta50016.2020.9286636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.11720","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085906857","display_name":"Benjamin Naoto Chiche","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210086977","display_name":"Astrophysique, Instrumentation et Mod\u00e9lisation","ror":"https://ror.org/0015h8611","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I2738703131","https://openalex.org/I4210086977","https://openalex.org/I4210148025"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I4210165303","display_name":"Safran (France)","ror":"https://ror.org/05sqf9v67","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210165303"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benjamin Naoto Chiche","raw_affiliation_strings":["AIM, CEA, CNRS, Universit\u00e9 Paris-Saclay Universit\u00e9 de Paris, France","Safran Electronics & Defense, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIM, CEA, CNRS, Universit\u00e9 Paris-Saclay Universit\u00e9 de Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210086977","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"Safran Electronics & Defense, France","institution_ids":["https://openalex.org/I4210165303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001036980","display_name":"Joana Frontera\u2013Pons","orcid":"https://orcid.org/0000-0003-0438-5801"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210086977","display_name":"Astrophysique, Instrumentation et Mod\u00e9lisation","ror":"https://ror.org/0015h8611","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I2738703131","https://openalex.org/I4210086977","https://openalex.org/I4210148025"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I58581550","display_name":"Institut Polytechnique des Sciences Avanc\u00e9es","ror":"https://ror.org/050r7zc91","country_code":"FR","type":"education","lineage":["https://openalex.org/I58581550"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Joana Frontera-Pons","raw_affiliation_strings":["AIM, CEA, CNRS, Universit\u00e9 Paris-Saclay Universit\u00e9 de Paris, France","DR2I, Institut Polytechnique des Sciences Avance\u00e9s, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIM, CEA, CNRS, Universit\u00e9 Paris-Saclay Universit\u00e9 de Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210086977","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"DR2I, Institut Polytechnique des Sciences Avance\u00e9s, France","institution_ids":["https://openalex.org/I58581550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019376862","display_name":"Arnaud Woiselle","orcid":"https://orcid.org/0009-0007-1987-1913"},"institutions":[{"id":"https://openalex.org/I4210165303","display_name":"Safran (France)","ror":"https://ror.org/05sqf9v67","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210165303"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arnaud Woiselle","raw_affiliation_strings":["Safran Electronics & Defense, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Safran Electronics & Defense, France","institution_ids":["https://openalex.org/I4210165303"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008794792","display_name":"Jean\u2010Luc Starck","orcid":"https://orcid.org/0000-0003-2177-7794"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210086977","display_name":"Astrophysique, Instrumentation et Mod\u00e9lisation","ror":"https://ror.org/0015h8611","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I2738703131","https://openalex.org/I4210086977","https://openalex.org/I4210148025"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Luc Starck","raw_affiliation_strings":["AIM, CEA, CNRS, Universit\u00e9 Paris-Saclay Universit\u00e9 de Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIM, CEA, CNRS, Universit\u00e9 Paris-Saclay Universit\u00e9 de Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210086977","https://openalex.org/I4210128565"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9965000152587891,"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":0.9950000047683716,"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/interpretability","display_name":"Interpretability","score":0.9200698137283325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8214259147644043},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.7953892946243286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7234380841255188},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7132751941680908},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6302680969238281},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5768425464630127},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5056188106536865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48522233963012695},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.47479313611984253},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4491559565067291},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.44551941752433777},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43202245235443115},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.421619713306427},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4170994460582733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3615173101425171},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34781116247177124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06283003091812134}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9200698137283325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8214259147644043},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7953892946243286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7234380841255188},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7132751941680908},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6302680969238281},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5768425464630127},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5056188106536865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48522233963012695},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.47479313611984253},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4491559565067291},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.44551941752433777},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43202245235443115},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.421619713306427},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4170994460582733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3615173101425171},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34781116247177124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06283003091812134},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipta50016.2020.9286636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta50016.2020.9286636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2102.11720","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.11720","pdf_url":"https://arxiv.org/pdf/2102.11720","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.11720","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.11720","pdf_url":"https://arxiv.org/pdf/2102.11720","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":"publishedVersion","is_accepted":true,"is_published":true,"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":38,"referenced_works":["https://openalex.org/W1981990039","https://openalex.org/W2052648190","https://openalex.org/W2118103795","https://openalex.org/W2119302101","https://openalex.org/W2133665775","https://openalex.org/W2165939075","https://openalex.org/W2242218935","https://openalex.org/W2320725294","https://openalex.org/W2476548250","https://openalex.org/W2620324432","https://openalex.org/W2738743584","https://openalex.org/W2773850766","https://openalex.org/W2783348085","https://openalex.org/W2798664922","https://openalex.org/W2904835235","https://openalex.org/W2905346068","https://openalex.org/W2910263794","https://openalex.org/W2962927175","https://openalex.org/W2964277374","https://openalex.org/W2965669158","https://openalex.org/W2974140942","https://openalex.org/W2986833982","https://openalex.org/W3010644855","https://openalex.org/W3012181793","https://openalex.org/W3034475761","https://openalex.org/W3035302306","https://openalex.org/W3100730608","https://openalex.org/W3103586216","https://openalex.org/W4214768308","https://openalex.org/W4287824590","https://openalex.org/W4287827821","https://openalex.org/W6677645113","https://openalex.org/W6690498163","https://openalex.org/W6720887540","https://openalex.org/W6738960811","https://openalex.org/W6756811790","https://openalex.org/W6757740994","https://openalex.org/W6774660363"],"related_works":["https://openalex.org/W4319993887","https://openalex.org/W4297789176","https://openalex.org/W2768346313","https://openalex.org/W2963249138","https://openalex.org/W2998594699","https://openalex.org/W4396882122","https://openalex.org/W3178016723","https://openalex.org/W2968060152","https://openalex.org/W3004000015","https://openalex.org/W2559771220"],"abstract_inverted_index":{"Video":[0],"super-resolution":[1,141],"(VSR)":[2],"aims":[3],"to":[4,83,105,159],"reconstruct":[5],"a":[6,20,156,170],"sequence":[7],"of":[8,78,139],"high-resolution":[9],"(HR)":[10],"images":[11],"from":[12,51,59,75],"their":[13,94],"corresponding":[14],"low-resolution":[15],"(LR)":[16],"versions.":[17],"Traditionally,":[18],"solving":[19],"VSR":[21,55,172],"problem":[22],"has":[23,56],"been":[24,115],"based":[25,175],"on":[26,34,39,176],"iterative":[27],"algorithms":[28],"that":[29],"can":[30,70,129],"exploit":[31],"prior":[32,107],"knowledge":[33,86],"image":[35,89,120],"formation":[36,90],"and":[37,180],"assumptions":[38],"the":[40,60,88,131,140],"motion.":[41],"However,":[42],"these":[43],"classical":[44],"methods":[45],"struggle":[46],"at":[47],"incorporating":[48],"complex":[49],"statistics":[50],"natural":[52],"images.":[53,79],"Furthermore,":[54],"recently":[57],"benefited":[58],"improvement":[61],"brought":[62],"by":[63],"deep":[64,110],"learning":[65,111,155],"(DL)":[66],"algorithms.":[67],"These":[68],"techniques":[69,179],"efficiently":[71],"learn":[72],"spatial":[73],"patterns":[74],"large":[76],"collections":[77],"Yet,":[80],"they":[81],"fail":[82],"incorporate":[84],"some":[85],"about":[87],"model,":[91],"which":[92],"limits":[93],"flexibility.":[95],"Unrolled":[96],"optimization":[97,178],"algorithms,":[98],"developed":[99],"for":[100,118],"inverse":[101],"problems":[102],"resolution,":[103],"allow":[104],"include":[106],"information":[108],"into":[109],"architectures.":[112],"They":[113],"have":[114],"used":[116],"mainly":[117],"single":[119,157],"restoration":[121],"tasks.":[122],"Adapting":[123],"an":[124],"unrolled":[125,177],"neural":[126,146,173],"network":[127,174],"structure":[128],"bring":[130],"following":[132],"benefits.":[133],"First,":[134],"this":[135,144,151,166],"may":[136],"increase":[137],"performance":[138],"task.":[142],"Then,":[143],"gives":[145],"networks":[147],"better":[148],"interpretability.":[149],"Finally,":[150],"allows":[152],"flexibility":[153],"in":[154],"model":[158],"nonblindly":[160],"deal":[161],"with":[162],"multiple":[163],"degradations.":[164],"In":[165],"paper,":[167],"we":[168],"propose":[169],"new":[171],"discuss":[181],"its":[182],"performance.":[183]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
