{"id":"https://openalex.org/W3015396079","doi":"https://doi.org/10.1109/icassp40776.2020.9054687","title":"Non-Local Nested Residual Attention Network for Stereo Image Super-Resolution","display_name":"Non-Local Nested Residual Attention Network for Stereo Image Super-Resolution","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015396079","doi":"https://doi.org/10.1109/icassp40776.2020.9054687","mag":"3015396079"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5000020308","display_name":"Wangduo Xie","orcid":"https://orcid.org/0009-0004-4510-3502"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wangduo Xie","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082318857","display_name":"Zhisheng Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhisheng Lu","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067002890","display_name":"Meng Cao","orcid":"https://orcid.org/0000-0002-8946-4228"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Cao","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078656823","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0002-7999-1083"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000020308"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.276,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.82262977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2643","last_page":"2647"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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":0.9975000023841858,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7914718389511108},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.7545304298400879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7476614713668823},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6601144075393677},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6401517987251282},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6236916184425354},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6123920679092407},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6106659173965454},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.6073020696640015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49366530776023865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41944730281829834},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.414858341217041},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10315549373626709}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7914718389511108},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7545304298400879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476614713668823},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6601144075393677},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6401517987251282},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6236916184425354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6123920679092407},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6106659173965454},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.6073020696640015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49366530776023865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41944730281829834},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.414858341217041},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10315549373626709},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W63091017","https://openalex.org/W1921093919","https://openalex.org/W2109586214","https://openalex.org/W2150066425","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2607041014","https://openalex.org/W2747898905","https://openalex.org/W2780544323","https://openalex.org/W2798664922","https://openalex.org/W2799046095","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2895361760","https://openalex.org/W2912268344","https://openalex.org/W2922435819","https://openalex.org/W2932669052","https://openalex.org/W2950217418","https://openalex.org/W2963091558","https://openalex.org/W2964101377","https://openalex.org/W6602211262","https://openalex.org/W6690498163","https://openalex.org/W6753074096","https://openalex.org/W6754405603","https://openalex.org/W6758681311","https://openalex.org/W6761071635"],"related_works":["https://openalex.org/W1670332068","https://openalex.org/W2062399876","https://openalex.org/W2095618524","https://openalex.org/W2735770592","https://openalex.org/W1971024059","https://openalex.org/W1502062143","https://openalex.org/W4224236531","https://openalex.org/W4291993329","https://openalex.org/W2063177452","https://openalex.org/W4212888438"],"abstract_inverted_index":{"Nowadays":[0],"CNN-based":[1],"stereo":[2,33,111],"image":[3,34],"super-resolution(SR)":[4],"methods":[5,14],"have":[6],"obtained":[7],"remarkable":[8],"performance.":[9],"However,":[10],"most":[11],"of":[12,27],"existing":[13],"only":[15,105],"superficially":[16],"portrayed":[17],"the":[18,24,76,82,110,128,135],"low":[19],"layer":[20],"features":[21,41],"without":[22],"considering":[23],"uneven":[25],"distribution":[26],"information,":[28],"which":[29,103],"is":[30,72],"insufficient":[31],"because":[32],"warping":[35],"and":[36,80,98,108,120,139],"sub-pixel":[37],"upsampling":[38],"require":[39],"discriminative":[40],"to":[42,74],"identify":[43],"corresponding":[44],"pixels.":[45,86],"To":[46],"address":[47],"this":[48,51],"problem,":[49],"in":[50],"paper,":[52],"we":[53,88],"propose":[54],"a":[55,66,90,118],"novel":[56],"network":[57],"named":[58],"Non-local":[59],"Nested":[60],"Residual":[61],"Attention":[62],"Network":[63],"(NNRANet).":[64],"Specifically,":[65],"non-local":[67],"dilated":[68],"attention":[69],"module":[70],"(NDAM)":[71],"developed":[73],"exploit":[75],"rich":[77],"hierarchical":[78],"feature":[79],"capture":[81],"long-range":[83],"dependencies":[84],"between":[85],"Moreover,":[87],"present":[89],"nested":[91,100],"residual":[92,101],"group":[93],"(NRG)":[94],"with":[95],"dense":[96],"connections":[97],"multiple":[99],"sub-network,":[102],"not":[104],"continuously":[106],"remembers":[107],"extracts":[109],"fusion":[112],"feature,":[113],"but":[114],"also":[115],"enables":[116],"training":[117],"deeper":[119],"more":[121],"stable":[122],"network.":[123],"Extensive":[124],"experiments":[125],"demonstrate":[126],"that":[127],"proposed":[129],"method":[130],"achieves":[131],"state-of-the-art":[132],"performance":[133],"on":[134],"Middlebury,":[136],"KITTI":[137,140],"2012":[138],"2015":[141],"datasets.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}