{"id":"https://openalex.org/W4417470571","doi":"https://doi.org/10.1109/tpami.2025.3645734","title":"Temporal Stereo Matching From Event Cameras via Joint Learning With Stereoscopic Flow","display_name":"Temporal Stereo Matching From Event Cameras via Joint Learning With Stereoscopic Flow","publication_year":2025,"publication_date":"2025-12-18","ids":{"openalex":"https://openalex.org/W4417470571","doi":"https://doi.org/10.1109/tpami.2025.3645734","pmid":"https://pubmed.ncbi.nlm.nih.gov/41411362"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3645734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3645734","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5081487728","display_name":"J.J. Kang","orcid":"https://orcid.org/0009-0002-9537-3813"},"institutions":[{"id":"https://openalex.org/I878022262","display_name":"Korea Institute of Science & Technology Information","ror":"https://ror.org/01k4yrm29","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I878022262"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Young Kang","raw_affiliation_strings":["Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, South Korea","Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0002-9537-3813","affiliations":[{"raw_affiliation_string":"Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, South Korea","institution_ids":["https://openalex.org/I878022262"]},{"raw_affiliation_string":"Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, Republic of Korea","institution_ids":["https://openalex.org/I878022262"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070238427","display_name":"Hoonhee Cho","orcid":"https://orcid.org/0000-0003-0896-6793"},"institutions":[{"id":"https://openalex.org/I878022262","display_name":"Korea Institute of Science & Technology Information","ror":"https://ror.org/01k4yrm29","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I878022262"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoonhee Cho","raw_affiliation_strings":["Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, South Korea","Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-0896-6793","affiliations":[{"raw_affiliation_string":"Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, South Korea","institution_ids":["https://openalex.org/I878022262"]},{"raw_affiliation_string":"Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, Republic of Korea","institution_ids":["https://openalex.org/I878022262"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110557165","display_name":"Kuk-Jin Yoon","orcid":"https://orcid.org/0000-0002-1634-2756"},"institutions":[{"id":"https://openalex.org/I878022262","display_name":"Korea Institute of Science & Technology Information","ror":"https://ror.org/01k4yrm29","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I878022262"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kuk-Jin Yoon","raw_affiliation_strings":["Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, South Korea","Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-1634-2756","affiliations":[{"raw_affiliation_string":"Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, South Korea","institution_ids":["https://openalex.org/I878022262"]},{"raw_affiliation_string":"Visual Intelligence Lab, Department of Mechanical Engineering, Korea Adanced Institue of Science and Technology, Dajeon, Republic of Korea","institution_ids":["https://openalex.org/I878022262"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.355543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"4","first_page":"4098","last_page":"4113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/optical-flow","display_name":"Optical flow","score":0.6699000000953674},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.5636000037193298},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5314000248908997},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5238999724388123},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5051000118255615},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.501800000667572},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41690000891685486},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.415800005197525},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.3824999928474426}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7910000085830688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7850000262260437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7738999724388123},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6699000000953674},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.5636000037193298},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5314000248908997},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5238999724388123},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5051000118255615},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.501800000667572},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.415800005197525},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.3824999928474426},{"id":"https://openalex.org/C35861506","wikidata":"https://www.wikidata.org/wiki/Q17141434","display_name":"Stereo cameras","level":3,"score":0.3573000133037567},{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.25600001215934753}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3645734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3645734","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41411362","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41411362","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2058580716","https://openalex.org/W2113221323","https://openalex.org/W2472115300","https://openalex.org/W2560474170","https://openalex.org/W2604231069","https://openalex.org/W2785582094","https://openalex.org/W2788172931","https://openalex.org/W2796368857","https://openalex.org/W2804756873","https://openalex.org/W2883294120","https://openalex.org/W2901157565","https://openalex.org/W2904275768","https://openalex.org/W2913843253","https://openalex.org/W2952813711","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W2963782415","https://openalex.org/W2966103660","https://openalex.org/W2980116241","https://openalex.org/W2981462813","https://openalex.org/W2998281665","https://openalex.org/W3023322933","https://openalex.org/W3034514115","https://openalex.org/W3034564916","https://openalex.org/W3035212231","https://openalex.org/W3035303839","https://openalex.org/W3040838455","https://openalex.org/W3097097310","https://openalex.org/W3109131508","https://openalex.org/W3109908659","https://openalex.org/W3118564668","https://openalex.org/W3123414711","https://openalex.org/W3139658937","https://openalex.org/W3147597595","https://openalex.org/W3174138177","https://openalex.org/W3174465322","https://openalex.org/W3177222833","https://openalex.org/W3200334356","https://openalex.org/W3204398189","https://openalex.org/W4205982568","https://openalex.org/W4214638086","https://openalex.org/W4283800840","https://openalex.org/W4285043186","https://openalex.org/W4306157941","https://openalex.org/W4309160143","https://openalex.org/W4312238950","https://openalex.org/W4312280868","https://openalex.org/W4312388571","https://openalex.org/W4312609965","https://openalex.org/W4312852806","https://openalex.org/W4312871721","https://openalex.org/W4313015975","https://openalex.org/W4313029475","https://openalex.org/W4313038475","https://openalex.org/W4313046416","https://openalex.org/W4385805093","https://openalex.org/W4386066450","https://openalex.org/W4386071550","https://openalex.org/W4386075741","https://openalex.org/W4386076604","https://openalex.org/W4389667404","https://openalex.org/W4390871818","https://openalex.org/W4390872259","https://openalex.org/W4390872625","https://openalex.org/W4390873605","https://openalex.org/W4390874054","https://openalex.org/W4390874217","https://openalex.org/W4390874734","https://openalex.org/W4391467999","https://openalex.org/W4394625679","https://openalex.org/W4402702993","https://openalex.org/W4402727617","https://openalex.org/W4402753762","https://openalex.org/W4402754131","https://openalex.org/W4402952491","https://openalex.org/W4404001764","https://openalex.org/W4404178333","https://openalex.org/W4404970750"],"related_works":[],"abstract_inverted_index":{"Event":[0,34],"cameras":[1],"are":[2],"dynamic":[3,13],"vision":[4],"sensors":[5],"inspired":[6],"by":[7,125],"the":[8],"biological":[9],"retina,":[10],"offering":[11],"high":[12,15],"range,":[14],"temporal":[16,49,54,98],"resolution,":[17],"and":[18,116],"low":[19],"power":[20],"consumption.":[21],"These":[22],"qualities":[23],"allow":[24],"them":[25],"to":[26],"perceive":[27],"3D":[28],"environments":[29],"even":[30],"in":[31,44,129],"extreme":[32],"conditions.":[33],"data":[35,128],"is":[36,68],"continuously":[37,59],"recorded":[38],"over":[39],"time,":[40],"capturing":[41],"pixel":[42,76],"movements":[43,77],"detail.":[45],"To":[46],"leverage":[47],"this":[48],"density,":[50],"we":[51],"introduce":[52],"a":[53,130],"event":[55,64],"stereo":[56,65,79,106],"framework":[57],"that":[58],"uses":[60],"past":[61,127],"information.":[62],"The":[63,97],"matching":[66,107],"network":[67],"jointly":[69],"trained":[70],"with":[71],"stereoscopic":[72,103],"flow,":[73],"which":[74],"tracks":[75],"from":[78],"cameras.":[80],"Instead":[81],"of":[82,100],"relying":[83],"on":[84,112],"optical":[85],"flow":[86,104],"ground":[87],"truth,":[88],"our":[89],"method":[90,120],"trains":[91],"motion":[92],"flows":[93],"using":[94],"disparity":[95],"maps.":[96],"aggregation":[99],"information":[101],"via":[102],"boosts":[105],"performance,":[108],"achieving":[109],"state-of-the-art":[110],"results":[111],"MVSEC,":[113],"DSEC,":[114],"M3ED,":[115],"EVIMO2":[117],"datasets.":[118],"Our":[119],"also":[121],"demonstrates":[122],"computational":[123],"efficiency":[124],"stacking":[126],"cascading":[131],"manner.":[132]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-18T00:00:00"}
