{"id":"https://openalex.org/W2268816372","doi":"https://doi.org/10.1007/978-3-319-24947-6_15","title":"Joint 3D Object and Layout Inference from a Single RGB-D Image","display_name":"Joint 3D Object and Layout Inference from a Single RGB-D Image","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2268816372","doi":"https://doi.org/10.1007/978-3-319-24947-6_15","mag":"2268816372"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-24947-6_15","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24947-6_15","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-24947-6_15","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016606943","display_name":"Andreas Geiger","orcid":"https://orcid.org/0000-0002-8151-3726"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andreas Geiger","raw_affiliation_strings":["Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620659","display_name":"Chaohui Wang","orcid":"https://orcid.org/0000-0001-8592-4920"},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chaohui Wang","raw_affiliation_strings":["Universit\u00e9 Paris-Est, Marne-la-Vall\u00e9e, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Est, Marne-la-Vall\u00e9e, Paris, France","institution_ids":["https://openalex.org/I2800365227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016606943"],"corresponding_institution_ids":["https://openalex.org/I4210135521"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":3.3798,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.96253838,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"195"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.856124758720398},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7309393286705017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7279722690582275},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6200641393661499},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5447872281074524},{"id":"https://openalex.org/keywords/scene-graph","display_name":"Scene graph","score":0.5284245610237122},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5280643105506897},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5138645172119141},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4551936388015747},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4537988603115082},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.4495377540588379},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4298486113548279},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.42200490832328796},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4122144877910614},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.10637059807777405},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.0850507915019989},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.07847589254379272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.856124758720398},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7309393286705017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7279722690582275},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6200641393661499},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5447872281074524},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.5284245610237122},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5280643105506897},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5138645172119141},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4551936388015747},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4537988603115082},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.4495377540588379},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4298486113548279},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.42200490832328796},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4122144877910614},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.10637059807777405},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0850507915019989},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.07847589254379272},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-319-24947-6_15","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24947-6_15","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.4989","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.4989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://igm.univ-mlv.fr/%7Ecwang/papers/GCPR2015_IndoorSceneInference.pdf","raw_type":"text"},{"id":"pmh:oai:pure.mpg.de:item_2259878","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-002A-1F44-A","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-24947-6_15","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24947-6_15","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W35586085","https://openalex.org/W116751493","https://openalex.org/W125693051","https://openalex.org/W566730006","https://openalex.org/W1481823314","https://openalex.org/W1519402791","https://openalex.org/W1565402342","https://openalex.org/W1921093919","https://openalex.org/W1932937519","https://openalex.org/W1987648924","https://openalex.org/W1995628331","https://openalex.org/W2005175937","https://openalex.org/W2010625607","https://openalex.org/W2031489346","https://openalex.org/W2034308880","https://openalex.org/W2036989445","https://openalex.org/W2046382188","https://openalex.org/W2065476635","https://openalex.org/W2065892333","https://openalex.org/W2066813062","https://openalex.org/W2067912884","https://openalex.org/W2071634722","https://openalex.org/W2075214536","https://openalex.org/W2076874408","https://openalex.org/W2092399515","https://openalex.org/W2093993686","https://openalex.org/W2102605133","https://openalex.org/W2103031616","https://openalex.org/W2108729336","https://openalex.org/W2109521789","https://openalex.org/W2113107168","https://openalex.org/W2114111978","https://openalex.org/W2114358147","https://openalex.org/W2116877738","https://openalex.org/W2118997898","https://openalex.org/W2128221187","https://openalex.org/W2130416410","https://openalex.org/W2133059703","https://openalex.org/W2144414892","https://openalex.org/W2145567954","https://openalex.org/W2146814781","https://openalex.org/W2152571752","https://openalex.org/W2154880882","https://openalex.org/W2166822605","https://openalex.org/W2169066680","https://openalex.org/W2171675680","https://openalex.org/W2286655030","https://openalex.org/W2534523274"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W2333771223","https://openalex.org/W598185802","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W1679012645","https://openalex.org/W2355516524"],"abstract_inverted_index":{"Inferring":[0],"3D":[1,54],"objects":[2,38],"and":[3,32,39,59,63,70,84,128,136,145],"the":[4,36,42,75,101,114,139,146,152],"layout":[5],"of":[6,126],"indoor":[7,104],"scenes":[8,121],"from":[9],"a":[10,16,20,28,81,123],"single":[11],"RGB-D":[12],"image":[13],"captured":[14],"with":[15,95,122],"Kinect":[17],"camera":[18],"is":[19,117,143],"challenging":[21,102],"task.":[22],"Towards":[23],"this":[24],"goal,":[25],"we":[26],"propose":[27],"high-order":[29],"graphical":[30],"model":[31,51],"jointly":[33],"reason":[34],"about":[35],"layout,":[37],"superpixels":[40],"in":[41,80],"image.":[43],"In":[44],"contrast":[45],"to":[46,97,119],"existing":[47],"holistic":[48],"approaches,":[49],"our":[50,93],"leverages":[52],"detailed":[53],"geometry":[55],"using":[56,88,106],"inverse":[57],"graphics":[58],"explicitly":[60],"enforces":[61],"occlusion":[62],"visibility":[64],"constraints":[65],"for":[66],"respecting":[67],"scene":[68],"properties":[69],"projective":[71],"geometry.":[72],"We":[73,91],"cast":[74],"task":[76],"as":[77,151],"MAP":[78],"inference":[79],"factor":[82],"graph":[83],"solve":[85],"it":[86],"efficiently":[87],"message":[89],"passing.":[90],"evaluate":[92],"method":[94,116],"respect":[96],"several":[98],"baselines":[99],"on":[100],"NYUv2":[103],"dataset":[105],"21":[107],"object":[108],"categories.":[109],"Our":[110],"experiments":[111],"demonstrate":[112],"that":[113],"proposed":[115],"able":[118],"infer":[120],"large":[124],"degree":[125],"clutter":[127],"occlusions.":[129],"These":[130],"keywords":[131,147],"were":[132],"added":[133],"by":[134,138],"machine":[135],"not":[137],"authors.":[140],"This":[141],"process":[142],"experimental":[144],"may":[148],"be":[149],"updated":[150],"learning":[153],"algorithm":[154],"improves.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}