{"id":"https://openalex.org/W4304080343","doi":"https://doi.org/10.1145/3503161.3548312","title":"Digging Into Normal Incorporated Stereo Matching","display_name":"Digging Into Normal Incorporated Stereo Matching","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304080343","doi":"https://doi.org/10.1145/3503161.3548312"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548312","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548312","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.18171","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101824029","display_name":"Zihua Liu","orcid":"https://orcid.org/0000-0002-3908-0517"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zihua Liu","raw_affiliation_strings":["Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104805610","display_name":"Songyan Zhang","orcid":"https://orcid.org/0009-0006-2853-8875"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyan Zhang","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429179","display_name":"Zhicheng Wang","orcid":"https://orcid.org/0000-0003-1726-9631"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Wang","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024453747","display_name":"Masatoshi Okutomi","orcid":"https://orcid.org/0000-0001-5787-0742"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Okutomi","raw_affiliation_strings":["Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3539,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67161212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6050","last_page":"6060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.994700014591217,"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/digging","display_name":"Digging","score":0.9674073457717896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6690512895584106},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5561078786849976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4844536781311035},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4724579155445099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16408315300941467},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12944135069847107},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09362092614173889},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.09336251020431519}],"concepts":[{"id":"https://openalex.org/C2779080342","wikidata":"https://www.wikidata.org/wiki/Q4232202","display_name":"Digging","level":2,"score":0.9674073457717896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6690512895584106},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5561078786849976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4844536781311035},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4724579155445099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16408315300941467},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12944135069847107},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09362092614173889},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.09336251020431519}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3503161.3548312","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548312","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2402.18171","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.18171","pdf_url":"https://arxiv.org/pdf/2402.18171","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:irdb.nii.ac.jp:00897:0005593458","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100882655","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia (ACMMM2022)","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.18171","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.18171","pdf_url":"https://arxiv.org/pdf/2402.18171","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4304080343.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W1899309388","https://openalex.org/W1921093919","https://openalex.org/W1964057156","https://openalex.org/W2596164567","https://openalex.org/W2798927139","https://openalex.org/W2883040756","https://openalex.org/W2886944874","https://openalex.org/W2959581809","https://openalex.org/W2990946490","https://openalex.org/W3033696290","https://openalex.org/W3034375692","https://openalex.org/W3035310221","https://openalex.org/W3091564232","https://openalex.org/W3109128945","https://openalex.org/W3162689936","https://openalex.org/W3170262190","https://openalex.org/W3177322621","https://openalex.org/W3177525997","https://openalex.org/W3204126741","https://openalex.org/W4214651109","https://openalex.org/W4234282793","https://openalex.org/W6600376255","https://openalex.org/W6601108242","https://openalex.org/W6959340700"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2170022336"],"abstract_inverted_index":{"Despite":[0],"the":[1,23,96,107,122,129,136,155,162,179,186,192],"remarkable":[2],"progress":[3],"facilitated":[4],"by":[5],"learning-based":[6],"stereo":[7,173],"matching":[8,174],"algorithms,":[9],"disparity":[10,42,66,97],"estimation":[11],"in":[12,104],"low-texture,":[13],"occluded,":[14],"and":[15,44,68,133,151,183],"bordered":[16],"regions":[17],"still":[18],"remain":[19],"bottlenecks":[20],"that":[21,57],"limit":[22],"performance.":[24],"To":[25,99],"tackle":[26],"these":[27],"challenges,":[28],"geometric":[29,101],"guidance":[30,40],"like":[31],"plane":[32],"information":[33,126],"is":[34,76,111],"necessary":[35],"as":[36,85,87],"it":[37],"provides":[38,121],"intuitive":[39],"about":[41,127],"consistency":[43],"affinity":[45,83,118],"similarity.":[46],"In":[47],"this":[48,166],"paper,":[49],"we":[50,164],"propose":[51],"a":[52,81,88,116],"normal":[53,74,109],"incorporated":[54],"joint":[55],"learning":[56,124,138],"framework":[58],"consisting":[59],"of":[60,157],"two":[61],"specific":[62],"modules":[63],"named":[64],"non-local":[65,82,89],"propagation(NDP)":[67],"affinity-aware":[69],"residual":[70,123,137],"learning(ARL).":[71],"The":[72],"estimated":[73,108],"map":[75,110],"first":[77],"utilized":[78],"for":[79,172],"calculating":[80],"matrix":[84,119],"well":[86],"offset":[90],"to":[91,114],"perform":[92],"spatial":[93],"propagation":[94],"at":[95],"level.":[98],"enhance":[100],"consistency,":[102],"especially":[103],"low-texture":[105],"regions,":[106],"then":[112],"leveraged":[113],"calculate":[115],"local":[117],"which":[120],"with":[125],"where":[128],"correction":[130],"should":[131],"refer":[132],"thus":[134],"improve":[135],"efficiency.":[139],"Extensive":[140],"experiments":[141],"on":[142,178,185],"several":[143],"public":[144],"datasets":[145],"including":[146],"Scene":[147,187],"Flow,":[148],"KITTI":[149,180],"2015,":[150],"Middlebury":[152],"2014":[153],"validate":[154],"effectiveness":[156],"our":[158,168],"proposed":[159],"method.":[160],"By":[161],"time":[163],"finished":[165],"work,":[167],"approach":[169],"ranked":[170],"1st":[171],"across":[175],"foreground":[176],"pixels":[177],"2015":[181],"dataset":[182,189],"3rd":[184],"Flow":[188],"among":[190],"all":[191],"published":[193],"works.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
