{"id":"https://openalex.org/W2804896198","doi":"https://doi.org/10.1109/icra.2018.8463172","title":"Fast Disparity Estimation Using Dense Networks","display_name":"Fast Disparity Estimation Using Dense Networks","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2804896198","doi":"https://doi.org/10.1109/icra.2018.8463172","mag":"2804896198"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2018.8463172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8463172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.07499","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042632410","display_name":"Rowel Atienza","orcid":"https://orcid.org/0000-0002-8830-2534"},"institutions":[{"id":"https://openalex.org/I103911934","display_name":"University of the Philippines System","ror":"https://ror.org/02hqkr514","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Rowel Atienza","raw_affiliation_strings":["Electrical and Electronics Engineering Institute, University of the Philippines","[Electrical and Electronics Engineering Institute, University of the Philippines]"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering Institute, University of the Philippines","institution_ids":["https://openalex.org/I103911934"]},{"raw_affiliation_string":"[Electrical and Electronics Engineering Institute, University of the Philippines]","institution_ids":["https://openalex.org/I103911934"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5042632410"],"corresponding_institution_ids":["https://openalex.org/I103911934"],"apc_list":null,"apc_paid":null,"fwci":0.3187,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61481191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3207","last_page":"3212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976999759674072,"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-science","display_name":"Computer science","score":0.7986652255058289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7571389675140381},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7250570058822632},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6472838521003723},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5131476521492004},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4878976047039032},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4214383363723755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41674935817718506},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3455347418785095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7986652255058289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7571389675140381},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7250570058822632},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6472838521003723},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5131476521492004},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4878976047039032},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4214383363723755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41674935817718506},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3455347418785095},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icra.2018.8463172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8463172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1805.07499","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.07499","pdf_url":"https://arxiv.org/pdf/1805.07499","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:2804896198","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1805.07499","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1805.07499","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1805.07499","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1805.07499","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.07499","pdf_url":"https://arxiv.org/pdf/1805.07499","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4115178427","display_name":null,"funder_award_id":"IIID-2016-005","funder_id":"https://openalex.org/F4320324072","funder_display_name":"Commission on Higher Education"}],"funders":[{"id":"https://openalex.org/F4320324072","display_name":"Commission on Higher Education","ror":"https://ror.org/04s346m05"},{"id":"https://openalex.org/F4320336030","display_name":"Philippine-California Advanced Research Institutes","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2804896198.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2104974755","https://openalex.org/W2115579991","https://openalex.org/W2117248802","https://openalex.org/W2142714012","https://openalex.org/W2144041313","https://openalex.org/W2194775991","https://openalex.org/W2214868166","https://openalex.org/W2259424905","https://openalex.org/W2440384215","https://openalex.org/W2520707372","https://openalex.org/W2609883120","https://openalex.org/W2951179855","https://openalex.org/W2963446712","https://openalex.org/W6608647691","https://openalex.org/W6626481562","https://openalex.org/W6630726011","https://openalex.org/W6637242042","https://openalex.org/W6640476174","https://openalex.org/W6674330103","https://openalex.org/W6681934335","https://openalex.org/W6735804568"],"related_works":["https://openalex.org/W3143240425","https://openalex.org/W2759594390","https://openalex.org/W2959571919","https://openalex.org/W2915206464","https://openalex.org/W2514609519","https://openalex.org/W3032930719","https://openalex.org/W3183402907","https://openalex.org/W3182763210","https://openalex.org/W3136020213","https://openalex.org/W2137737371","https://openalex.org/W2604801620","https://openalex.org/W1986189466","https://openalex.org/W1530121826","https://openalex.org/W2087496281","https://openalex.org/W2798592450","https://openalex.org/W2808629189","https://openalex.org/W2944053351","https://openalex.org/W2965789767","https://openalex.org/W2980958413","https://openalex.org/W3024745646"],"abstract_inverted_index":{"Disparity":[0],"estimation":[1],"is":[2,90,122],"a":[3,61],"difficult":[4],"problem":[5,33],"in":[6,14,82,113],"stereo":[7,43,111],"vision":[8],"because":[9],"the":[10,53,70],"correspondence":[11],"technique":[12],"fails":[13],"images":[15,44,112],"with":[16,34,124],"textureless":[17],"and":[18,48,93,103],"repetitive":[19],"regions.":[20],"Recent":[21],"body":[22],"of":[23,72],"work":[24],"using":[25],"deep":[26],"convolutional":[27],"neural":[28],"networks":[29,67],"(CNN)":[30],"overcomes":[31],"this":[32,57],"semantics.":[35],"Most":[36],"CNN":[37,62],"implementations":[38],"use":[39],"an":[40],"autoencoder":[41],"method;":[42],"are":[45],"encoded,":[46],"merged":[47],"finally":[49],"decoded":[50],"to":[51,68],"predict":[52],"disparity":[54,83],"map.":[55],"In":[56],"paper,":[58],"we":[59],"present":[60],"implementation":[63],"inspired":[64],"by":[65],"dense":[66],"reduce":[69],"number":[71],"parameters.":[73],"Furthermore,":[74],"our":[75],"approach":[76],"takes":[77],"into":[78],"account":[79],"semantic":[80],"reasoning":[81],"estimation.":[84],"Our":[85],"proposed":[86],"network,":[87],"called":[88],"DenseMapNet,":[89],"compact,":[91],"fast":[92],"can":[94],"be":[95],"trained":[96],"end-to-end.":[97],"DenseMapNet":[98,120],"requires":[99],"290k":[100],"parameters":[101],"only":[102],"runs":[104],"at":[105],"30Hz":[106],"or":[107],"faster":[108],"on":[109],"color":[110],"full":[114],"resolution.":[115],"Experimental":[116],"results":[117],"show":[118],"that":[119],"accuracy":[121],"comparable":[123],"other":[125],"significantly":[126],"bigger":[127],"CNN-based":[128],"methods.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}