{"id":"https://openalex.org/W4407128639","doi":"https://doi.org/10.1109/tits.2025.3531115","title":"Binocular-Separated Modeling for Efficient Binocular Stereo Matching","display_name":"Binocular-Separated Modeling for Efficient Binocular Stereo Matching","publication_year":2025,"publication_date":"2025-02-04","ids":{"openalex":"https://openalex.org/W4407128639","doi":"https://doi.org/10.1109/tits.2025.3531115"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3531115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3531115","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Transportation Systems","raw_type":"journal-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/A5020022566","display_name":"Yeping Peng","orcid":"https://orcid.org/0000-0003-3509-1152"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeping Peng","raw_affiliation_strings":["Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","College of Mechatronics and Control Engineering, Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3509-1152","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Mechatronics and Control Engineering, Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110520230","display_name":"Jianrui Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianrui Xu","raw_affiliation_strings":["Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","College of Mechatronics and Control Engineering, Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Mechatronics and Control Engineering, Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080122070","display_name":"Guang\u2010Zhong Cao","orcid":"https://orcid.org/0000-0002-9393-2389"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangzhong Cao","raw_affiliation_strings":["Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","College of Mechatronics and Control Engineering, Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9393-2389","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Mechatronics and Control Engineering, Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018498977","display_name":"Runhao Zeng","orcid":"https://orcid.org/0000-0001-8694-4245"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4388482657","display_name":"Shenzhen MSU-BIT University","ror":"https://ror.org/02q963474","country_code":null,"type":"education","lineage":["https://openalex.org/I4388482657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runhao Zeng","raw_affiliation_strings":["Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8694-4245","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4388482657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5311,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80292946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"26","issue":"3","first_page":"3028","last_page":"3038"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9883000254631042,"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":0.9883000254631042,"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":0.9593999981880188,"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/T13579","display_name":"Image and Video Stabilization","score":0.954200029373169,"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/computer-vision","display_name":"Computer vision","score":0.6566277742385864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6371359825134277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6148850917816162},{"id":"https://openalex.org/keywords/binocular-vision","display_name":"Binocular vision","score":0.6063784956932068},{"id":"https://openalex.org/keywords/binocular-disparity","display_name":"Binocular disparity","score":0.6010416150093079},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5805547833442688},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5198391079902649},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3461747169494629},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1859375238418579}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6566277742385864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6371359825134277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6148850917816162},{"id":"https://openalex.org/C121958486","wikidata":"https://www.wikidata.org/wiki/Q609543","display_name":"Binocular vision","level":2,"score":0.6063784956932068},{"id":"https://openalex.org/C90790637","wikidata":"https://www.wikidata.org/wiki/Q11681118","display_name":"Binocular disparity","level":3,"score":0.6010416150093079},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5805547833442688},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5198391079902649},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3461747169494629},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1859375238418579},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3531115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3531115","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087528243","display_name":null,"funder_award_id":"RCBS20221008093224017","funder_id":"https://openalex.org/F4320335966","funder_display_name":"Science and Technology Planning Project of Shenzhen Municipality"},{"id":"https://openalex.org/G3063599037","display_name":null,"funder_award_id":"52475205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4860469773","display_name":null,"funder_award_id":"62202311","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335966","display_name":"Science and Technology Planning Project of Shenzhen Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1921093919","https://openalex.org/W1929856797","https://openalex.org/W2117248802","https://openalex.org/W2123782500","https://openalex.org/W2130951666","https://openalex.org/W2133255058","https://openalex.org/W2138051352","https://openalex.org/W2214868166","https://openalex.org/W2259424905","https://openalex.org/W2604231069","https://openalex.org/W2738441955","https://openalex.org/W2787091153","https://openalex.org/W2952813711","https://openalex.org/W2962858109","https://openalex.org/W2963231581","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W3012583264","https://openalex.org/W3034514115","https://openalex.org/W3135450157","https://openalex.org/W3146402210","https://openalex.org/W3152521990","https://openalex.org/W3157177884","https://openalex.org/W3183402907","https://openalex.org/W3185135148","https://openalex.org/W4206123889","https://openalex.org/W4285117287","https://openalex.org/W4312388571"],"related_works":["https://openalex.org/W98522529","https://openalex.org/W2026531732","https://openalex.org/W2970155046","https://openalex.org/W4205604717","https://openalex.org/W16934273","https://openalex.org/W1982961664","https://openalex.org/W2084626072","https://openalex.org/W1974148323","https://openalex.org/W2046553036","https://openalex.org/W2162631469"],"abstract_inverted_index":{"Binocular":[0],"stereo":[1],"matching":[2,230],"is":[3,23,123],"a":[4,65,116,127,133,140,145],"crucial":[5],"task":[6],"in":[7,85,232],"autonomous":[8],"driving":[9],"for":[10],"accurately":[11],"estimating":[12],"the":[13,46,94,101,104,170,181,184,201],"depth":[14],"information":[15],"of":[16,68,103,172,183],"objects":[17],"and":[18,38,76,132,162,212,235],"scenes.":[19],"This":[20],"task,":[21],"however,":[22],"challenging":[24],"due":[25],"to":[26,83,109,149,175],"various":[27],"ill-posed":[28],"regions":[29],"within":[30],"binocular":[31,53],"image":[32],"pairs,":[33],"such":[34],"as":[35,154],"repeated":[36],"textures":[37,40],"weak":[39,233],"which":[41,71],"present":[42],"complex":[43],"correspondences":[44],"between":[45,96],"points.":[47],"Existing":[48],"methods":[49,90],"extract":[50],"features":[51,99,174,179],"from":[52],"input":[54],"images":[55],"mainly":[56],"by":[57],"relying":[58],"on":[59,190,209,214],"deep":[60,155,202],"convolutional":[61,69],"neural":[62,142,156],"networks":[63,157],"with":[64,144,159],"substantial":[66],"number":[67],"layers,":[70],"may":[72],"incur":[73],"high":[74],"memory":[75],"computation":[77],"costs,":[78],"thus":[79,107],"making":[80],"it":[81],"hard":[82],"deploy":[84],"real-world":[86],"applications.":[87],"Additionally,":[88],"previous":[89],"do":[91],"not":[92],"consider":[93],"correlation":[95],"view":[97],"unary":[98],"during":[100,180],"construction":[102,182],"cost":[105,185],"volume,":[106],"leading":[108],"inferior":[110],"results.":[111],"To":[112],"address":[113],"these":[114],"issues,":[115],"novel":[117],"lightweight":[118],"binocular-separated":[119],"feature":[120,135],"extraction":[121],"module":[122,131,148],"proposed":[124,198],"that":[125,196,225],"includes":[126],"view-shared":[128,173],"multi-dilation":[129,146],"fusion":[130],"view-specific":[134,178],"extractor.":[136],"Our":[137],"method":[138,199,205,227],"leverages":[139],"shallow":[141],"network":[143],"modeling":[147],"provide":[150],"similar":[151],"receptive":[152],"fields":[153],"but":[158],"fewer":[160,220],"parameters":[161],"better":[163],"computational":[164],"efficiency.":[165],"Furthermore,":[166],"we":[167],"propose":[168],"incorporating":[169],"correlations":[171],"dynamically":[176],"select":[177],"volume.":[186],"Extensive":[187],"experiments":[188,223],"conducted":[189],"two":[191],"public":[192],"benchmark":[193],"datasets":[194],"show":[195,224],"our":[197,226],"outperforms":[200],"model-based":[203],"baseline":[204],"(i.e.,":[206],"13.6%":[207],"improvement":[208],"Scene":[210],"Flow":[211],"2.0%":[213],"KITTI":[215],"2015)":[216],"while":[217],"using":[218],"29.7%":[219],"parameters.":[221],"Ablation":[222],"achieves":[228],"superior":[229],"performance":[231],"texture":[234],"edge":[236],"regions.":[237],"The":[238],"source":[239],"code":[240],"will":[241],"be":[242],"made":[243],"publicly":[244],"available.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}