{"id":"https://openalex.org/W7138433632","doi":"https://doi.org/10.1609/aaai.v40i15.38253","title":"Geometry-Aware Stereo Matching via Monocular Disparity Distribution Prior and Gradient Enhancement","display_name":"Geometry-Aware Stereo Matching via Monocular Disparity Distribution Prior and Gradient Enhancement","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138433632","doi":"https://doi.org/10.1609/aaai.v40i15.38253"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i15.38253","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i15.38253","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38253/42215","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38253/42215","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128216848","display_name":"Junze Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165407","display_name":"Intelligent Decision Systems (Spain)","ror":"https://ror.org/05xp52m23","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210165407"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Junze Zhang","raw_affiliation_strings":["Academy of Military Sciences\nIntelligent Game and Decision Lab"],"affiliations":[{"raw_affiliation_string":"Academy of Military Sciences\nIntelligent Game and Decision Lab","institution_ids":["https://openalex.org/I4210165407"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080392501","display_name":"Luoxi Jing","orcid":"https://orcid.org/0000-0002-1540-5815"},"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":"Luoxi Jing","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129648444","display_name":"Yuanyuan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanyuan Wang","raw_affiliation_strings":["Academy of Military Sciences"],"affiliations":[{"raw_affiliation_string":"Academy of Military Sciences","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129746101","display_name":"Xueqi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xueqi Li","raw_affiliation_strings":["Academy of Military Sciences"],"affiliations":[{"raw_affiliation_string":"Academy of Military Sciences","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101783777","display_name":"Guoli Yang","orcid":"https://orcid.org/0000-0002-1076-2119"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoli Yang","raw_affiliation_strings":["Advanced Institute of Big Data"],"affiliations":[{"raw_affiliation_string":"Advanced Institute of Big Data","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129642216","display_name":"Songchang Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Songchang Jin","raw_affiliation_strings":["Intelligent Game and Decision Lab"],"affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129659134","display_name":"Chunping Qiu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunping Qiu","raw_affiliation_strings":["Intelligent Game and Decision Lab"],"affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5128216848"],"corresponding_institution_ids":["https://openalex.org/I4210165407"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80654762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"15","first_page":"12582","last_page":"12590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.989300012588501,"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":0.989300012588501,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.002899999963119626,"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":0.0027000000700354576,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6708999872207642},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6284999847412109},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5601999759674072},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.47369998693466187},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4316999912261963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.424699991941452},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.41909998655319214},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.34869998693466187}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7542999982833862},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6708999872207642},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6498000025749207},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6284999847412109},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5601999759674072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5547999739646912},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.47369998693466187},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4316999912261963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.424699991941452},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.41909998655319214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4018999934196472},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.29330000281333923},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C163018871","wikidata":"https://www.wikidata.org/wiki/Q1302587","display_name":"Cross-correlation","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.260699987411499},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i15.38253","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i15.38253","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38253/42215","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i15.38253","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i15.38253","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38253/42215","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4093950638","display_name":null,"funder_award_id":"2022M723902","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5417657831","display_name":null,"funder_award_id":"2022M723","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6651789771","display_name":null,"funder_award_id":"42201513","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8331622953","display_name":null,"funder_award_id":"2023T160789","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138433632.pdf","grobid_xml":"https://content.openalex.org/works/W7138433632.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Stereo":[0,39],"matching":[1],"recovers":[2],"3D":[3],"scene":[4],"information":[5,80,89],"based":[6],"on":[7,141],"the":[8,55,61,78,101,106,114,142,149],"correlation":[9,20,79,115,126],"between":[10],"corresponding":[11],"pixels.":[12],"Despite":[13],"impressive":[14],"progress,":[15],"existing":[16],"methods":[17],"lack":[18],"sufficient":[19],"priors":[21,127],"in":[22,81,117,157],"ill-posed":[23,82],"regions":[24],"such":[25],"as":[26],"occlusions,":[27],"detailed":[28,118],"and":[29,48,76,93,122,144],"reflective":[30],"regions.":[31,83],"In":[32],"this":[33,50],"paper,":[34],"we":[35,85],"propose":[36],"Geometry":[37],"Aware":[38],"Matching":[40],"Network":[41],"(GEAStereo)":[42],"to":[43],"enhance":[44],"geometric":[45,74],"structure":[46],"perception":[47],"address":[49],"issue.":[51],"We":[52],"adaptively":[53],"incorporate":[54],"Monocular":[56],"Disparity":[57],"Distribution":[58],"Prior":[59],"into":[60],"stereo":[62],"cost":[63,103],"volume,":[64],"building":[65],"Mono-Stereo":[66],"Fusion":[67],"Volume":[68,97],"(MSFV),":[69],"which":[70],"effectively":[71],"captures":[72],"global":[73],"structures":[75],"rectifies":[77],"Furthermore,":[84],"introduce":[86],"rich":[87,125],"detail":[88],"from":[90],"gradient":[91,109],"features":[92],"construct":[94],"a":[95],"Detail-Aware":[96],"(DAV)":[98],"by":[99],"aggregating":[100],"group-wise":[102],"volume":[104],"under":[105],"guidance":[107],"of":[108],"spatial":[110],"attention,":[111],"thus":[112],"enhancing":[113],"modeling":[116],"structures.":[119],"Jointly,":[120],"MSFV":[121],"DAV":[123],"provide":[124],"for":[128],"disparity":[129],"iterative":[130],"optimization.":[131],"Experimental":[132],"results":[133,140],"show":[134],"that":[135],"our":[136,152],"method":[137,153],"achieves":[138],"competitive":[139],"ETH3D":[143],"KITTI2015":[145],"benchmarks.":[146],"Compared":[147],"with":[148],"state-of-the-art":[150],"methods,":[151],"demonstrates":[154],"stronger":[155],"performance":[156],"zero-shot":[158],"generalization.":[159]},"counts_by_year":[],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2026-03-18T00:00:00"}
