{"id":"https://openalex.org/W2293606632","doi":"https://doi.org/10.1109/cvpr.2011.5995737","title":"Sampling bedrooms","display_name":"Sampling bedrooms","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2293606632","doi":"https://doi.org/10.1109/cvpr.2011.5995737","mag":"2293606632"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2011.5995737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","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/A5034998511","display_name":"Luca Del Pero","orcid":"https://orcid.org/0000-0002-3795-0689"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luca Del Pero","raw_affiliation_strings":["University of Arizona Tucson, Tucson, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona Tucson, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053582808","display_name":"Jinyan Guan","orcid":"https://orcid.org/0000-0002-9721-6267"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinyan Guan","raw_affiliation_strings":["University of Arizona Tucson, Tucson, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona Tucson, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043410925","display_name":"Ernesto Brau","orcid":"https://orcid.org/0000-0003-0380-8630"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ernesto Brau","raw_affiliation_strings":["University of Arizona Tucson, Tucson, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona Tucson, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023083960","display_name":"Joseph Schlecht","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joseph Schlecht","raw_affiliation_strings":["University of Heidelberg, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082471157","display_name":"Kobus Barnard","orcid":"https://orcid.org/0000-0002-8568-9518"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kobus Barnard","raw_affiliation_strings":["University of Arizona Tucson, Tucson, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona Tucson, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.1824,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.97583795,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2009","last_page":"2016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9943000078201294,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9943000078201294,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9921000003814697,"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":0.991599977016449,"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":0.6621034145355225},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6088014245033264},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6080398559570312},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5773927569389343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5694058537483215},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.501678466796875},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4658452272415161},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.46058908104896545},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45716795325279236},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.45469915866851807},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.440701961517334},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4347779154777527},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4251119792461395},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4090050160884857},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.35516923666000366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29322540760040283}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6621034145355225},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6088014245033264},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6080398559570312},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5773927569389343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5694058537483215},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.501678466796875},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4658452272415161},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.46058908104896545},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45716795325279236},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.45469915866851807},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.440701961517334},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4347779154777527},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4251119792461395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4090050160884857},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.35516923666000366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29322540760040283},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2011.5995737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8399999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W195465510","https://openalex.org/W1505712405","https://openalex.org/W1759730364","https://openalex.org/W1818727054","https://openalex.org/W2001182897","https://openalex.org/W2033554200","https://openalex.org/W2033819227","https://openalex.org/W2056860348","https://openalex.org/W2089657469","https://openalex.org/W2096600681","https://openalex.org/W2102271310","https://openalex.org/W2103359735","https://openalex.org/W2104737892","https://openalex.org/W2106110775","https://openalex.org/W2106706098","https://openalex.org/W2108538286","https://openalex.org/W2109443835","https://openalex.org/W2116851763","https://openalex.org/W2124297750","https://openalex.org/W2135194391","https://openalex.org/W2137348666","https://openalex.org/W2145023731","https://openalex.org/W2145567954","https://openalex.org/W2155871590","https://openalex.org/W2534523274","https://openalex.org/W4205969993","https://openalex.org/W4241222664","https://openalex.org/W4249692345","https://openalex.org/W6604990878","https://openalex.org/W6607884611","https://openalex.org/W6638472885","https://openalex.org/W6648286657","https://openalex.org/W6678796163","https://openalex.org/W6680444493","https://openalex.org/W6681508479","https://openalex.org/W6940791371"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"We":[0,78,101,110,151,184],"propose":[1],"a":[2,94,138,187],"top":[3],"down":[4],"approach":[5,154],"for":[6,98,117,191],"understanding":[7,211],"indoor":[8],"scenes":[9],"such":[10,53,123],"as":[11,54,124],"bedrooms":[12],"and":[13,40,66,89,129,148],"living":[14],"rooms.":[15],"These":[16],"environments":[17],"typically":[18],"have":[19],"the":[20,34,38,58,81,84,121,125,208],"Manhattan":[21],"world":[22],"property":[23],"that":[24,68,142],"many":[25],"surfaces":[26],"are":[27,69],"parallel":[28],"to":[29,92,132,203,207],"three":[30],"principle":[31],"ones.":[32],"Further,":[33],"3D":[35,82],"geometry":[36,168],"of":[37,127,182,210],"room":[39,59,159],"objects":[41,67],"within":[42],"it":[43],"can":[44],"largely":[45],"be":[46,204],"approximated":[47],"by":[48,72],"non":[49],"overlapping":[50],"simple":[51,76],"structures":[52],"single":[55,73],"blocks":[56,62,74],"(e.g.":[57,63,75],"boundary),":[60],"thin":[61],"picture":[64],"frames),":[65],"well":[70],"modeled":[71],"beds).":[77],"separately":[79],"model":[80,97,104,122],"geometry,":[83],"imaging":[85],"process":[86],"(camera":[87],"parameters),":[88],"edge":[90],"likelihood,":[91],"provide":[93],"generative":[95],"statistical":[96],"image":[99],"data.":[100],"fit":[102],"this":[103,192],"using":[105,158,164],"data":[106],"driven":[107],"MCMC":[108],"sampling.":[109],"combine":[111],"reversible":[112],"jump":[113],"Metropolis":[114],"Hastings":[115],"samples":[116],"discrete":[118],"changes":[119],"in":[120,137,170],"number":[126],"blocks,":[128],"stochastic":[130],"dynamics":[131],"estimate":[133],"continuous":[134],"parameter":[135,140],"values":[136],"particular":[139],"space":[141],"includes":[143],"block":[144,146],"positions,":[145],"sizes,":[147],"camera":[149,198],"parameters.":[150],"tested":[152],"our":[153,176],"on":[155,174,195],"two":[156],"datasets":[157],"box":[160,167],"pixel":[161],"orientation.":[162],"Despite":[163],"only":[165],"bounding":[166],"and,":[169],"particular,":[171],"not":[172],"training":[173],"appearance,":[175],"method":[177,190],"achieves":[178],"results":[179],"approaching":[180],"those":[181],"others.":[183],"also":[185],"introduce":[186],"new":[188],"evaluation":[189],"domain":[193],"based":[194],"ground":[196],"truth":[197],"parameters,":[199],"which":[200],"we":[201],"found":[202],"more":[205],"sensitive":[206],"task":[209],"scene":[212],"geometry.":[213]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}
