{"id":"https://openalex.org/W4415708241","doi":"https://doi.org/10.1109/icme59968.2025.11210012","title":"Uncertainty-Guided Iterative Architecture for Stereo Matching","display_name":"Uncertainty-Guided Iterative Architecture for Stereo Matching","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708241","doi":"https://doi.org/10.1109/icme59968.2025.11210012"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11210012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113249718","display_name":"Weiqing Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqing Xiao","raw_affiliation_strings":["Beihang University,Electronics and Information Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,Electronics and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778204","display_name":"Fengjun Zhong","orcid":"https://orcid.org/0009-0003-9486-8387"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengjun Zhong","raw_affiliation_strings":["Beihang University,Electronics and Information Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,Electronics and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101213342","display_name":"Hao Zhao","orcid":"https://orcid.org/0000-0002-7578-9910"},"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":"Hao Zhao","raw_affiliation_strings":["Tsinghua University,Institute for AI Industry Research,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Institute for AI Industry Research,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9939000010490417,"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":0.9939000010490417,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0010999999940395355,"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/iterative-method","display_name":"Iterative method","score":0.614300012588501},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5608000159263611},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5490999817848206},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5278000235557556},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5228999853134155},{"id":"https://openalex.org/keywords/rectification","display_name":"Rectification","score":0.44670000672340393},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4268999993801117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485000252723694},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.614300012588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5740000009536743},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5608000159263611},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5490999817848206},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5278000235557556},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5228999853134155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47620001435279846},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.44670000672340393},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4268999993801117},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.4228000044822693},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33809998631477356},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2587999999523163},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11210012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W1921093919","https://openalex.org/W2157331557","https://openalex.org/W2255466643","https://openalex.org/W2259424905","https://openalex.org/W2741885505","https://openalex.org/W2963619659","https://openalex.org/W3009086519","https://openalex.org/W3096678291","https://openalex.org/W3106635087","https://openalex.org/W3172573759","https://openalex.org/W4226265017","https://openalex.org/W4312842294","https://openalex.org/W4312871721","https://openalex.org/W4385945813","https://openalex.org/W4386071550","https://openalex.org/W4386075810","https://openalex.org/W4386076114","https://openalex.org/W4390660376","https://openalex.org/W4390872202","https://openalex.org/W4390872625","https://openalex.org/W4401414146","https://openalex.org/W4402727483","https://openalex.org/W4402727617","https://openalex.org/W4402754131","https://openalex.org/W4402979958"],"related_works":[],"abstract_inverted_index":{"Iteration-based":[0],"methods":[1,21],"have":[2,22],"achieved":[3],"impressive":[4],"achievements":[5],"in":[6,28],"stereo":[7],"matching":[8],"tasks.":[9],"However,":[10],"due":[11],"to":[12],"the":[13,61,81,96,109,114,131,143],"lack":[14],"of":[15,95,118,142],"disparity":[16,50,83],"reliability":[17],"judgment,":[18],"existing":[19,119],"iteration-based":[20],"difficulties":[23],"obtaining":[24],"reliable":[25],"iterative":[26,40,120],"results":[27],"a":[29,37,46],"stable":[30],"manner.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,43,65,86],"propose":[36,66,87],"novel":[38],"uncertainty-guided":[39],"architecture.":[41],"Specifically,":[42],"first":[44],"design":[45],"lightweight":[47],"Cost":[48],"volume-based":[49],"Uncertainty":[51],"Estimation":[52],"method":[53,111,129],"(CUE),":[54],"which":[55,72,138],"efficiently":[56],"accomplishes":[57],"multiple":[58],"inference":[59,144],"during":[60],"iteration":[62],"process.":[63],"Subsequently,":[64],"Uncertainty-based":[67,88],"Disparity":[68,89],"update":[69,74],"Control":[70],"(UDC),":[71],"provides":[73],"magnitudes":[75],"for":[76,92],"different":[77],"pixels":[78],"that":[79,108,134],"match":[80],"current":[82],"reliability.":[84],"Additionally,":[85],"Rectification":[90],"(UDR)":[91],"burden-free":[93],"optimization":[94],"initial":[97],"disparity.":[98],"Experiments":[99],"on":[100],"SceneFlow,":[101],"KITTI,":[102],"Middlebury":[103],"2014,":[104],"and":[105,116],"ETH3D":[106],"demonstrate":[107],"proposed":[110],"effectively":[112],"improves":[113],"accuracy":[115],"efficiency":[117],"methods.":[121],"Particularly,":[122],"when":[123],"running":[124],"only":[125],"15":[126],"updates,":[127,137],"our":[128],"outperforms":[130],"baseline":[132],"IGEV-Stereo":[133],"runs":[135],"32":[136],"saves":[139],"around":[140],"40%":[141],"time.":[145]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-30T00:00:00"}
