{"id":"https://openalex.org/W4402352013","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651437","title":"Multi-Dimensional Attention on Cost Volume for Stereo Matching","display_name":"Multi-Dimensional Attention on Cost Volume for Stereo Matching","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352013","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651437"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5087055672","display_name":"Jiale Zhou","orcid":"https://orcid.org/0009-0006-2080-4905"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhou Jiale","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113907622","display_name":"Huang Wen-qin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqin Huang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009239895","display_name":"Qingmin Liao","orcid":"https://orcid.org/0000-0002-7509-3964"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmin Liao","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103979188","display_name":"Zongqing Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongqing Lu","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100683617","display_name":"Xiaoqian Liu","orcid":"https://orcid.org/0000-0003-2740-8420"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqian Liu","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I4210114105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087055672"],"corresponding_institution_ids":["https://openalex.org/I4210114105"],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53209935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9994000196456909,"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":0.9984999895095825,"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/volume","display_name":"Volume (thermodynamics)","score":0.6469565629959106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5988256931304932},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.569109320640564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5001950263977051},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4716086983680725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2408202886581421},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08069023489952087},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0733359158039093}],"concepts":[{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6469565629959106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5988256931304932},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.569109320640564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5001950263977051},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4716086983680725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2408202886581421},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08069023489952087},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0733359158039093},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W1921093919","https://openalex.org/W2112421488","https://openalex.org/W2117248802","https://openalex.org/W2144041313","https://openalex.org/W2150066425","https://openalex.org/W2259424905","https://openalex.org/W2604231069","https://openalex.org/W2950496566","https://openalex.org/W2952813711","https://openalex.org/W2962802300","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W3004166074","https://openalex.org/W3096678291","https://openalex.org/W3138516171","https://openalex.org/W3177322621","https://openalex.org/W4214588794","https://openalex.org/W4226265017","https://openalex.org/W4312388571","https://openalex.org/W4312871721","https://openalex.org/W4312901297","https://openalex.org/W4320036893","https://openalex.org/W4386071550","https://openalex.org/W4390872625"],"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/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Stereo":[0],"matching":[1,24,41,166],"is":[2,82,110],"a":[3,19,131],"fundamental":[4],"research":[5],"topic":[6],"in":[7,22,43,164],"computer":[8],"vision":[9],"tasks,":[10],"and":[11,87,96,108,117,127,151,153],"the":[12,52,57,62,72,92,97,123],"careful":[13],"processing":[14],"of":[15,56,125],"cost":[16,73,76,103],"volume":[17,74],"plays":[18],"vital":[20],"role":[21],"stereo":[23,165],"solutions.":[25],"Previous":[26],"convolutional":[27],"networks":[28],"have":[29],"deep-layer":[30],"structures":[31],"but":[32],"could":[33],"only":[34],"aggregate":[35],"local":[36],"regions,":[37],"leading":[38],"to":[39],"suboptimal":[40],"performance":[42,163],"areas":[44],"with":[45],"edges":[46],"or":[47],"weak":[48],"textures,":[49],"etc.":[50],"Considering":[51],"global":[53,66],"perception":[54],"capability":[55],"attention":[58,67,80],"mechanism,":[59],"we":[60,136],"for":[61,75],"first":[63],"time":[64],"propose":[65],"modules":[68],"directly":[69],"operating":[70],"on":[71,122,139],"aggregation.":[77],"Our":[78],"proposed":[79,158],"module":[81],"named":[83],"Multi-Dimensional":[84],"Attention":[85,94,99,115,119],"(MDA)":[86],"it":[88],"includes":[89],"two":[90],"submodules:":[91],"Cross-Disparity":[93],"(CDA)":[95],"Intra-Disparity":[98],"(IDA).":[100],"CDA":[101],"accomplishes":[102],"aggregation":[104],"under":[105],"different":[106],"disparities,":[107],"IDA":[109],"further":[111],"categorized":[112],"into":[113],"Channel-Wise":[114],"(CWA)":[116],"Disparity-Wise":[118],"(DWA),":[120],"focusing":[121],"similarity":[124],"structure":[126],"disparity":[128],"variations":[129],"within":[130],"fixed":[132],"disparity.":[133],"For":[134],"evaluation,":[135],"conduct":[137],"experiments":[138],"four":[140],"publicly":[141],"available":[142],"datasets":[143],"including":[144],"KITTI":[145,147],"2012,":[146],"2015,":[148],"Scene":[149],"Flow":[150],"Middlebury,":[152],"results":[154],"show":[155],"that":[156],"our":[157],"method":[159],"achieves":[160],"state-of-the-art":[161],"(SoTA)":[162],"tasks.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}