{"id":"https://openalex.org/W3136148319","doi":"https://doi.org/10.1109/lsp.2021.3066125","title":"Deep Bilateral Learning for Stereo Image Super-Resolution","display_name":"Deep Bilateral Learning for Stereo Image Super-Resolution","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3136148319","doi":"https://doi.org/10.1109/lsp.2021.3066125","mag":"3136148319"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2021.3066125","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3066125","pdf_url":"https://ieeexplore.ieee.org/ielx7/97/9325893/09382858.pdf","source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/97/9325893/09382858.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058806422","display_name":"Qingyu Xu","orcid":"https://orcid.org/0000-0002-6980-6921"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingyu Xu","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6980-6921","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058116832","display_name":"Longguang Wang","orcid":"https://orcid.org/0000-0003-0429-0263"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longguang Wang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-0429-0263","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052232868","display_name":"Yingqian Wang","orcid":"https://orcid.org/0000-0002-9081-6227"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingqian Wang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-9081-6227","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074097342","display_name":"Weidong Sheng","orcid":"https://orcid.org/0000-0001-9287-8643"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Sheng","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101864017","display_name":"Xinpu Deng","orcid":"https://orcid.org/0000-0002-7847-8675"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpu Deng","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058806422"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":3.8836,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.94835916,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"28","issue":null,"first_page":"613","last_page":"617"},"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":0.9995999932289124,"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":0.9983000159263611,"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":0.774890124797821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7434393167495728},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6573594808578491},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.5992785692214966},{"id":"https://openalex.org/keywords/parallax","display_name":"Parallax","score":0.5127602219581604},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49205273389816284},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47876444458961487},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47539222240448},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.46199560165405273},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.43852055072784424},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4205150008201599},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4191647171974182},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35533982515335083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11703184247016907}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.774890124797821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7434393167495728},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6573594808578491},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.5992785692214966},{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.5127602219581604},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49205273389816284},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47876444458961487},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47539222240448},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.46199560165405273},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43852055072784424},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4205150008201599},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4191647171974182},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35533982515335083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11703184247016907},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2021.3066125","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3066125","pdf_url":"https://ieeexplore.ieee.org/ielx7/97/9325893/09382858.pdf","source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/lsp.2021.3066125","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3066125","pdf_url":"https://ieeexplore.ieee.org/ielx7/97/9325893/09382858.pdf","source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G3837617875","display_name":null,"funder_award_id":"62001478","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5979008009","display_name":null,"funder_award_id":"61921001","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3136148319.pdf","grobid_xml":"https://content.openalex.org/works/W3136148319.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W63091017","https://openalex.org/W1505855572","https://openalex.org/W1528144695","https://openalex.org/W1921093919","https://openalex.org/W2099244020","https://openalex.org/W2100925004","https://openalex.org/W2126043703","https://openalex.org/W2150066425","https://openalex.org/W2195231623","https://openalex.org/W2242218935","https://openalex.org/W2254462240","https://openalex.org/W2607041014","https://openalex.org/W2735974062","https://openalex.org/W2747898905","https://openalex.org/W2798664922","https://openalex.org/W2799046095","https://openalex.org/W2890250462","https://openalex.org/W2922435819","https://openalex.org/W2963372104","https://openalex.org/W2964101377","https://openalex.org/W2986254534","https://openalex.org/W2997569773","https://openalex.org/W2999912553","https://openalex.org/W3005533314","https://openalex.org/W3044817636","https://openalex.org/W3087980862","https://openalex.org/W3107989310","https://openalex.org/W3125028070","https://openalex.org/W3139167831","https://openalex.org/W3175560234","https://openalex.org/W4285719527","https://openalex.org/W6602211262","https://openalex.org/W6602602565","https://openalex.org/W6631760055","https://openalex.org/W6691539702","https://openalex.org/W6771853686","https://openalex.org/W6775871533","https://openalex.org/W6785351676"],"related_works":["https://openalex.org/W1964961128","https://openalex.org/W1957820763","https://openalex.org/W4200575008","https://openalex.org/W2403006732","https://openalex.org/W2102326570","https://openalex.org/W2970414448","https://openalex.org/W2400870671","https://openalex.org/W2086942199","https://openalex.org/W1996433254","https://openalex.org/W4200550458"],"abstract_inverted_index":{"Bilateral":[0],"filter":[1],"has":[2],"demonstrated":[3],"its":[4],"effectiveness":[5],"in":[6,25],"many":[7],"traditional":[8],"methods":[9],"for":[10],"image":[11],"restoration":[12],"tasks.":[13],"In":[14],"this":[15],"letter,":[16],"we":[17,38],"incorporate":[18,44],"the":[19,98],"idea":[20],"of":[21],"bilateral":[22,32,54,58],"grid":[23],"processing":[24],"a":[26,31,40],"CNN":[27],"framework":[28],"and":[29,48,79,85,103],"propose":[30],"stereo":[33,72],"super-resolution":[34],"network":[35,75],"(BSSRnet).":[36],"Specifically,":[37],"use":[39],"parallax-attention":[41],"module":[42],"to":[43,51,62,82],"information":[45],"from":[46],"left":[47],"right":[49],"views":[50],"learn":[52],"content-aware":[53],"filters.":[55],"Then,":[56],"these":[57],"filters":[59],"are":[60],"used":[61],"recover":[63],"missing":[64],"details":[65],"at":[66],"different":[67],"spatial":[68],"locations":[69],"while":[70],"preserving":[71],"consistency.":[73],"Our":[74],"is":[76,80,109],"fully":[77],"differentiable":[78],"robust":[81],"both":[83],"content":[84],"disparity":[86],"variations.":[87],"Comparative":[88],"results":[89],"show":[90],"that":[91],"our":[92],"BSSRnet":[93],"achieves":[94],"state-of-the-art":[95],"performance":[96],"on":[97],"Flickr1024,":[99],"Middlebury,":[100],"KITTI":[101,104],"2012":[102],"2015":[105],"datasets.":[106],"Source":[107],"code":[108],"available":[110],"at.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}