{"id":"https://openalex.org/W4308237193","doi":"https://doi.org/10.1109/icip46576.2022.9897348","title":"MLP-Stereo: Heterogeneous Feature Fusion in MLP for Stereo Matching","display_name":"MLP-Stereo: Heterogeneous Feature Fusion in MLP for Stereo Matching","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308237193","doi":"https://doi.org/10.1109/icip46576.2022.9897348"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897348","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5018719569","display_name":"Shuiqiang Ye","orcid":null},"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":"Shuiqiang Ye","raw_affiliation_strings":["Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101442570","display_name":"Pengcheng Zeng","orcid":"https://orcid.org/0000-0003-2881-9942"},"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":"Pengcheng Zeng","raw_affiliation_strings":["Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339764","display_name":"Pengfei Li","orcid":"https://orcid.org/0000-0002-6707-2581"},"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":"Pengfei Li","raw_affiliation_strings":["Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100601726","display_name":"Weiqi Wang","orcid":"https://orcid.org/0000-0002-1617-9805"},"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":"Weiqi Wang","raw_affiliation_strings":["Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103328859","display_name":"Wang Xin-an","orcid":null},"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":"Wang Xinan","raw_affiliation_strings":["Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078656823","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0002-7999-1083"},"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":"Yong Zhao","raw_affiliation_strings":["Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School of Peking University,School of Electronic and Computer Engineering","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0925,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38165513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9965000152587891,"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":0.9944000244140625,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7637932300567627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128013968467712},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6642842888832092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.639090895652771},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6379820108413696},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6257555484771729},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.573564350605011},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4646199941635132},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.46311914920806885},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4548098146915436},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.4492199122905731},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3119094967842102},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1828896701335907}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7637932300567627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128013968467712},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6642842888832092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.639090895652771},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6379820108413696},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6257555484771729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.573564350605011},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4646199941635132},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.46311914920806885},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4548098146915436},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.4492199122905731},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3119094967842102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1828896701335907},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/icip46576.2022.9897348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897348","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2883040756","https://openalex.org/W2952813711","https://openalex.org/W2963231581","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W2963872790","https://openalex.org/W2980467688","https://openalex.org/W3034514115","https://openalex.org/W3093769466","https://openalex.org/W3131500599","https://openalex.org/W3137278571","https://openalex.org/W3138516171","https://openalex.org/W3157506437","https://openalex.org/W3172955525","https://openalex.org/W3185123971","https://openalex.org/W3186979696","https://openalex.org/W3188295239","https://openalex.org/W4234282793","https://openalex.org/W6784085021","https://openalex.org/W6795140394","https://openalex.org/W6799423381"],"related_works":["https://openalex.org/W1555349535","https://openalex.org/W1556451512","https://openalex.org/W4234091740","https://openalex.org/W4213350282","https://openalex.org/W2230171082","https://openalex.org/W2583128298","https://openalex.org/W2369125128","https://openalex.org/W2022275305","https://openalex.org/W2134423494","https://openalex.org/W3210292493"],"abstract_inverted_index":{"CNNs\u2019":[0],"strong":[1],"inductive":[2],"biases":[3],"of":[4,130],"locality":[5],"and":[6,13,37,45,69,87,146],"weight":[7,20],"sharing":[8,21,73],"provide":[9],"powerful":[10],"representation":[11],"ability":[12],"data":[14],"sample":[15],"utilization":[16],"efficiency.":[17],"However,":[18],"the":[19,25,32,71,75,96,127],"might":[22],"smooth":[23],"out":[24],"discrepancy":[26],"between":[27,35],"similar":[28],"pixels,":[29],"resulting":[30],"in":[31,41,59,74,83,142],"wrong":[33],"matching":[34],"left":[36],"right":[38],"camera-image":[39],"pair":[40],"thin":[42,84,143],"structures":[43,85,144],"region":[44,86,90,145],"repetitive":[46,88,147],"texture":[47,89,148],"region.":[48,78,149],"In":[49],"this":[50,80],"paper,":[51],"we":[52,104],"propose":[53],"a":[54,106],"novel":[55],"Heterogeneous":[56],"Feature":[57],"Fusion":[58],"MLP":[60,67],"(HFF-MLP)":[61],"for":[62],"Stereo":[63],"matching.":[64],"It":[65],"employs":[66],"structure":[68],"relaxes":[70],"weights":[72],"local":[76],"spatial":[77],"To":[79],"end,":[81],"pixels":[82],"are":[91],"dealt":[92],"with":[93,126],"independently":[94],"using":[95],"exclusive":[97],"weights.":[98],"Based":[99],"on":[100,121],"HFF":[101],"-MLP":[102],"module,":[103],"design":[105],"real-time":[107,140],"network,":[108],"i.e.,":[109],"MLP-Stereo.":[110],"Experimental":[111],"results":[112,120],"show":[113],"that":[114],"our":[115],"proposed":[116],"HFF-MLP":[117],"achieves":[118],"competitive":[119],"KITTI":[122],"2015":[123],"test":[124],"dataset":[125],"running":[128],"time":[129],"46":[131],"milliseconds.":[132],"Furthermore,":[133],"it":[134],"performs":[135],"much":[136],"better":[137],"than":[138],"other":[139],"network":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
