{"id":"https://openalex.org/W3207445489","doi":"https://doi.org/10.3390/s21206808","title":"Optimizing 3D Convolution Kernels on Stereo Matching for Resource Efficient Computations","display_name":"Optimizing 3D Convolution Kernels on Stereo Matching for Resource Efficient Computations","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3207445489","doi":"https://doi.org/10.3390/s21206808","mag":"3207445489","pmid":"https://pubmed.ncbi.nlm.nih.gov/34696021","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/8537023"},"language":"en","primary_location":{"id":"doi:10.3390/s21206808","doi":"https://doi.org/10.3390/s21206808","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206808","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6808/pdf?version=1634621629","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/20/6808/pdf?version=1634621629","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043249256","display_name":"Jianqiang Xiao","orcid":"https://orcid.org/0000-0002-5054-0318","observed_orcids":["https://orcid.org/0000-0002-5054-0318"]},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianqiang Xiao","raw_affiliation_strings":["Division of Electrical Engineering and Computer Science, Kanazawa University, Kanazawa 920-1192, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5054-0318","affiliations":[{"raw_affiliation_string":"Division of Electrical Engineering and Computer Science, Kanazawa University, Kanazawa 920-1192, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088270212","display_name":"Dianbo Ma","orcid":"https://orcid.org/0009-0006-9149-3315","observed_orcids":["https://orcid.org/0009-0006-9149-3315"]},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dianbo Ma","raw_affiliation_strings":["Division of Electrical Engineering and Computer Science, Kanazawa University, Kanazawa 920-1192, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electrical Engineering and Computer Science, Kanazawa University, Kanazawa 920-1192, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102728648","display_name":"Satoshi Yamane","orcid":"https://orcid.org/0000-0001-7883-4054","observed_orcids":["https://orcid.org/0000-0001-7883-4054"]},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Satoshi Yamane","raw_affiliation_strings":["Division of Electrical Engineering and Computer Science, Kanazawa University, Kanazawa 920-1192, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electrical Engineering and Computer Science, Kanazawa University, Kanazawa 920-1192, Japan","institution_ids":["https://openalex.org/I10091056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102728648"],"corresponding_institution_ids":["https://openalex.org/I10091056"],"apc_list":{"value":2200,"currency":"CHF","value_usd":2376},"apc_paid":{"value":2200,"currency":"CHF","value_usd":2376},"fwci":0.2694,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5070156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"21","issue":"20","first_page":"6808","last_page":"6808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9932000041007996,"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":0.9932000041007996,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.006200000178068876,"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":9.999999747378752e-05,"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/stereo-matching","display_name":"stereo matching","score":0.9380000233650208},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.6869999766349792},{"id":"https://openalex.org/keywords/3d-convolutional-neural-networks","display_name":"3D convolutional neural networks","score":0.8190000057220459},{"id":"https://openalex.org/keywords/scene-flow","display_name":"scene flow","score":0.628000020980835}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7380358576774597},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7054414749145508},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6834757924079895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.676780104637146},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.630142331123352},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5973241925239563},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.592022716999054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47999662160873413},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.44802364706993103},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.44437897205352783},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.41862496733665466},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3540921211242676},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22911101579666138},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.139634370803833},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.3390/s21206808","doi":"https://doi.org/10.3390/s21206808","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206808","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6808/pdf?version=1634621629","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8537023","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8537023","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmid:34696021","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34696021","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,"listed_in":[],"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":"Sensors (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:a350870910d4456dbc6475dee653e155","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/a350870910d4456dbc6475dee653e155","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 20, p 6808 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s21206808","doi":"https://doi.org/10.3390/s21206808","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206808","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6808/pdf?version=1634621629","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3207445489.pdf","grobid_xml":"https://content.openalex.org/works/W3207445489.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W187438588","https://openalex.org/W1486658274","https://openalex.org/W1524403875","https://openalex.org/W1921093919","https://openalex.org/W1993120651","https://openalex.org/W2099712288","https://openalex.org/W2104974755","https://openalex.org/W2105372494","https://openalex.org/W2107936601","https://openalex.org/W2142714012","https://openalex.org/W2144041313","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2200660157","https://openalex.org/W2259424905","https://openalex.org/W2531409750","https://openalex.org/W2532862257","https://openalex.org/W2549139847","https://openalex.org/W2604231069","https://openalex.org/W2707890836","https://openalex.org/W2752782242","https://openalex.org/W2883040756","https://openalex.org/W2883780447","https://openalex.org/W2921772171","https://openalex.org/W2922509574","https://openalex.org/W2944120591","https://openalex.org/W2952813711","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963404959","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W2965308376","https://openalex.org/W2972703007","https://openalex.org/W2997575304","https://openalex.org/W3012583264","https://openalex.org/W3034514115","https://openalex.org/W3034530552","https://openalex.org/W3034552520","https://openalex.org/W3149204742","https://openalex.org/W3157745944","https://openalex.org/W3166036439","https://openalex.org/W3172573759","https://openalex.org/W3194468082","https://openalex.org/W3198456315"],"related_works":["https://openalex.org/W4319443756","https://openalex.org/W7146258045","https://openalex.org/W4401536483","https://openalex.org/W4312303316","https://openalex.org/W3194468082","https://openalex.org/W3195680177","https://openalex.org/W3034514115","https://openalex.org/W3157745944","https://openalex.org/W4410393694","https://openalex.org/W4361295715"],"abstract_inverted_index":{"Despite":[0],"recent":[1],"stereo":[2],"matching":[3],"algorithms":[4],"achieving":[5],"significant":[6],"results":[7,113],"on":[8,22,40,68],"public":[9],"benchmarks,":[10],"the":[11,28,41,49,62,73,116],"problem":[12],"of":[13,58,64],"requiring":[14],"heavy":[15],"computation":[16],"remains":[17],"unsolved.":[18],"Most":[19],"works":[20],"focus":[21],"designing":[23],"an":[24],"architecture":[25],"to":[26,82,89,115],"reduce":[27],"computational":[29,74,121],"complexity,":[30],"while":[31],"we":[32,54],"take":[33],"aim":[34],"at":[35],"optimizing":[36],"3D":[37,96],"convolution":[38,66],"kernels":[39,67],"Pyramid":[42],"Stereo":[43],"Matching":[44],"Network":[45],"(PSMNet)":[46],"for":[47,93],"solving":[48],"problem.":[50],"In":[51],"this":[52],"paper,":[53],"design":[55],"a":[56,119],"series":[57],"comparative":[59],"experiments":[60],"exploring":[61],"performance":[63],"well-known":[65],"PSMNet.":[69],"Our":[70],"model":[71,111],"saves":[72],"complexity":[75],"from":[76],"256.66":[77],"G":[78,84,87,91],"MAdd":[79,85,88,92],"(Multiply-Add":[80],"operations)":[81],"69.03":[83],"(198.47":[86],"10.84":[90],"only":[94],"considering":[95],"convolutional":[97],"neural":[98],"networks)":[99],"without":[100],"losing":[101],"accuracy.":[102],"On":[103],"Scene":[104],"Flow":[105],"and":[106],"KITTI":[107],"2015":[108],"datasets,":[109],"our":[110],"achieves":[112],"comparable":[114],"state-of-the-art":[117],"with":[118],"low":[120],"cost.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2021-10-25T00:00:00"}
