{"id":"https://openalex.org/W7147394308","doi":"https://doi.org/10.1109/cnml68938.2026.11453195","title":"Mamba Flow Head: Polar Constraint Module for Stereo Matching","display_name":"Mamba Flow Head: Polar Constraint Module for Stereo Matching","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7147394308","doi":"https://doi.org/10.1109/cnml68938.2026.11453195"},"language":null,"primary_location":{"id":"doi:10.1109/cnml68938.2026.11453195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11453195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","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/A5077957987","display_name":"Xiaoshi Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoshi Lin","raw_affiliation_strings":["Wuhan University of Technology,School of Mechanical and Electronic Engineering,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Mechanical and Electronic Engineering,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100442643","display_name":"Shun Li","orcid":"https://orcid.org/0000-0003-1102-5572"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuiping Li","raw_affiliation_strings":["Wuhan University of Technology,School of Mechanical and Electronic Engineering,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Mechanical and Electronic Engineering,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077957987"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.91434655,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"644","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9864000082015991,"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":0.9864000082015991,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.0032999999821186066,"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":0.0017999999690800905,"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/epipolar-geometry","display_name":"Epipolar geometry","score":0.6633999943733215},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5990999937057495},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5950999855995178},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5735999941825867},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.532800018787384},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.48919999599456787},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4887999892234802},{"id":"https://openalex.org/keywords/iterative-refinement","display_name":"Iterative refinement","score":0.4745999872684479}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.6633999943733215},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5990999937057495},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5950999855995178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5737000107765198},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5735999941825867},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.532800018787384},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4950999915599823},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.48919999599456787},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4887999892234802},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.4745999872684479},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4011000096797943},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.38909998536109924},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.3750999867916107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37389999628067017},{"id":"https://openalex.org/C106246047","wikidata":"https://www.wikidata.org/wiki/Q4928435","display_name":"Iterative design","level":3,"score":0.3458000123500824},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29409998655319214},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29100000858306885},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cnml68938.2026.11453195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11453195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6052076816558838}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2150066425","https://openalex.org/W2259424905","https://openalex.org/W2286655030","https://openalex.org/W3109908659","https://openalex.org/W4226265017","https://openalex.org/W4386071550","https://openalex.org/W4402776467","https://openalex.org/W4407982277","https://openalex.org/W4412490260"],"related_works":[],"abstract_inverted_index":{"Iterative":[0],"optimization-based":[1],"stereo":[2,55],"matching":[3],"methods":[4],"have":[5],"demonstrated":[6],"significant":[7],"value":[8],"in":[9,68,85],"industrial":[10],"applications,":[11],"with":[12],"the":[13,33,41,57,83,117],"number":[14],"of":[15,54,88,119],"iterations":[16],"providing":[17],"a":[18,51,93],"flexible":[19],"trade-off":[20],"between":[21],"accuracy":[22],"and":[23,112,129],"computational":[24],"cost.":[25],"However,":[26],"current":[27],"research":[28],"primarily":[29],"focuses":[30],"on":[31,126],"improving":[32],"cost":[34],"volume":[35],"module,":[36],"context":[37],"feature":[38],"extraction,":[39],"or":[40],"iterative":[42,69,106],"update":[43],"mechanism":[44],"within":[45],"different":[46],"network":[47],"architectures,":[48],"often":[49],"neglecting":[50],"fundamental":[52],"principle":[53],"matching:":[56],"epipolar":[58],"constraint.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"propose":[64],"an":[65],"enhanced":[66],"module":[67,84,99],"optimized":[70],"model\u2019s":[71],"flow":[72],"head":[73],"by":[74],"adding":[75],"Mamba":[76],"block.":[77],"Our":[78],"approach":[79],"aims":[80],"to":[81],"constrain":[82],"theoretical":[86],"level":[87],"expressive":[89],"power":[90],"rather":[91],"than":[92],"complex":[94],"loss":[95],"function.":[96],"The":[97,122],"proposed":[98],"can":[100],"be":[101],"independently":[102],"integrated":[103],"into":[104],"existing":[105],"models":[107],"such":[108],"as":[109],"RAFT-Stereo,":[110],"IGEV-Stereo,":[111],"Selective-Stereo.":[113],"Extensive":[114],"experiments":[115],"validate":[116],"effectiveness":[118],"our":[120],"method.":[121],"corresponding":[123],"evaluation":[124],"is":[125,133],"Scene":[127],"Flow":[128],"KITTI":[130],"2015.":[131],"Code":[132],"available":[134],"at":[135],"https://github.com/xslynin/stereo-mamba-flowhead.":[136]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}