{"id":"https://openalex.org/W2982133488","doi":"https://doi.org/10.1109/wacv45572.2020.9093451","title":"Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation","display_name":"Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W2982133488","doi":"https://doi.org/10.1109/wacv45572.2020.9093451","mag":"2982133488"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.12257","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091769375","display_name":"Martin Hirzer","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Hirzer","raw_affiliation_strings":["Institute of Computer Graphics and Vision, Graz University of Technology, Austria","Graz University of Technology,#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Graz University of Technology,#TAB#","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014686562","display_name":"Peter M. Roth","orcid":"https://orcid.org/0000-0001-9566-1298"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Peter M. Roth","raw_affiliation_strings":["Institute of Computer Graphics and Vision, Graz University of Technology, Austria","Graz University of Technology, Inst. of Computer Graphics and Vision, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Graz University of Technology, Inst. of Computer Graphics and Vision, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070382607","display_name":"Vincent Lepetit","orcid":"https://orcid.org/0000-0001-9985-4433"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Vincent Lepetit","raw_affiliation_strings":["Institute of Computer Graphics and Vision, Graz University of Technology, Austria","Graz University of Technology, Inst. of Computer Graphics and Vision, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Graz University of Technology, Inst. of Computer Graphics and Vision, Austria","institution_ids":["https://openalex.org/I4092182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4092182"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2901","last_page":"2909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973000288009644,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973000288009644,"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":0.9897000193595886,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9868999719619751,"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/robustness","display_name":"Robustness (evolution)","score":0.7794317007064819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7674893140792847},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7097787857055664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6980599164962769},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5782423615455627},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5136823058128357},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4674053490161896},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4568193554878235},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4443836808204651},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4344552159309387},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4343671202659607},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42790886759757996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37075453996658325},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06837409734725952}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7794317007064819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674893140792847},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7097787857055664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6980599164962769},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5782423615455627},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5136823058128357},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4674053490161896},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4568193554878235},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4443836808204651},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4344552159309387},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4343671202659607},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42790886759757996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37075453996658325},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06837409734725952},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.12257","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.12257","pdf_url":"https://arxiv.org/pdf/1910.12257","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":null,"raw_type":"text"},{"id":"mag:2982133488","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1910.12257","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.1910.12257","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.12257","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.12257","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.12257","pdf_url":"https://arxiv.org/pdf/1910.12257","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":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2982133488.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1898543992","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W1965834447","https://openalex.org/W2017814585","https://openalex.org/W2068397385","https://openalex.org/W2110764733","https://openalex.org/W2112255529","https://openalex.org/W2116851763","https://openalex.org/W2123027991","https://openalex.org/W2126836862","https://openalex.org/W2139182919","https://openalex.org/W2145567954","https://openalex.org/W2156802865","https://openalex.org/W2168439642","https://openalex.org/W2199215860","https://openalex.org/W2439650069","https://openalex.org/W2471498090","https://openalex.org/W2503931548","https://openalex.org/W2534523274","https://openalex.org/W2598108580","https://openalex.org/W2962717701","https://openalex.org/W2963591013","https://openalex.org/W2963710007","https://openalex.org/W2964030239","https://openalex.org/W3097096317","https://openalex.org/W6605121731","https://openalex.org/W6637242042","https://openalex.org/W6638667902","https://openalex.org/W6639780620","https://openalex.org/W6648286657","https://openalex.org/W6721025048","https://openalex.org/W6940791371"],"related_works":["https://openalex.org/W3025487586","https://openalex.org/W3041751223","https://openalex.org/W2096340988","https://openalex.org/W3157403981","https://openalex.org/W3011951626","https://openalex.org/W3006561432","https://openalex.org/W2796442735","https://openalex.org/W3034826836","https://openalex.org/W3128857877","https://openalex.org/W2469686004","https://openalex.org/W3005272485","https://openalex.org/W3209325215","https://openalex.org/W2963219046","https://openalex.org/W3207109271","https://openalex.org/W2804850888","https://openalex.org/W2912042398","https://openalex.org/W2770891670","https://openalex.org/W3008510835","https://openalex.org/W3034822742","https://openalex.org/W3037148033"],"abstract_inverted_index":{"We":[0,114],"propose":[1],"a":[2,12,15,30,58,78],"novel":[3],"method":[4,122],"to":[5,70],"efficiently":[6],"estimate":[7],"the":[8,49,89,93,98,102,106,112,116,132],"spatial":[9],"layout":[10,103],"of":[11,48,81,92,120],"room":[13,94,107],"from":[14,105],"single":[16],"monocular":[17],"RGB":[18],"image.":[19,51],"As":[20],"existing":[21],"approaches":[22],"based":[23,76],"on":[24,45,77,123],"low-level":[25],"feature":[26],"extraction,":[27],"followed":[28],"by":[29],"vanishing":[31],"point":[32],"estimation":[33],"are":[34],"very":[35,62],"slow":[36],"and":[37,61,96,118],"often":[38],"unreliable":[39],"in":[40],"realistic":[41],"scenarios,":[42],"we":[43,56,87,129],"build":[44],"semantic":[46],"segmentation":[47,73],"input":[50],"To":[52],"obtain":[53],"better":[54],"segmentations,":[55],"introduce":[57],"robust,":[59],"accurate":[60],"efficient":[63],"hypothesize-and-test":[64],"scheme.":[65],"The":[66],"key":[67],"idea":[68],"is":[69,109],"use":[71],"three":[72,124],"hypotheses,":[74],"each":[75,85],"different":[79],"number":[80],"visible":[82],"walls.":[83],"For":[84],"hypothesis,":[86],"predict":[88],"image":[90],"locations":[91],"corners":[95,108],"select":[97],"hypothesis":[99],"for":[100],"which":[101],"estimated":[104],"consistent":[110],"with":[111],"segmentation.":[113],"demonstrate":[115],"efficiency":[117],"robustness":[119],"our":[121],"challenging":[125],"benchmark":[126],"datasets,":[127],"where":[128],"significantly":[130],"outperform":[131],"state-of-the-art.":[133]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}