{"id":"https://openalex.org/W4394711680","doi":"https://doi.org/10.1109/tgrs.2024.3387556","title":"Recognition of Indoor Scenes Using 3-D Scene Graphs","display_name":"Recognition of Indoor Scenes Using 3-D Scene Graphs","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394711680","doi":"https://doi.org/10.1109/tgrs.2024.3387556"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3387556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3387556","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ris.utwente.nl/ws/files/390592785/Recognition_of_Indoor_Scenes_Using_3-D_Scene_Graphs.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103034633","display_name":"Han Yue","orcid":"https://orcid.org/0000-0002-6200-9065"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Yue","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","College of Surveying and Geo-informatics, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6200-9065","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Surveying and Geo-informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025807163","display_name":"Ville Lehtola","orcid":"https://orcid.org/0000-0001-8856-5919"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ville Lehtola","raw_affiliation_strings":["Department of Earth Observation Science, ITC Faculty, University of Twente, Enschede, NB, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-8856-5919","affiliations":[{"raw_affiliation_string":"Department of Earth Observation Science, ITC Faculty, University of Twente, Enschede, NB, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077262336","display_name":"Hangbin Wu","orcid":"https://orcid.org/0000-0002-4985-191X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangbin Wu","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","College of Surveying and Geo-informatics, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4985-191X","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Surveying and Geo-informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086428184","display_name":"George Vosselman","orcid":"https://orcid.org/0000-0001-8813-8028"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"George Vosselman","raw_affiliation_strings":["Department of Earth Observation Science, ITC Faculty, University of Twente, Enschede, NB, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-8813-8028","affiliations":[{"raw_affiliation_string":"Department of Earth Observation Science, ITC Faculty, University of Twente, Enschede, NB, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763521","display_name":"Jincheng Li","orcid":"https://orcid.org/0000-0003-2328-3624"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jincheng Li","raw_affiliation_strings":["Key Laboratory of 3-D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of 3-D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003709575","display_name":"Chun Liu","orcid":"https://orcid.org/0000-0001-9319-1640"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Liu","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","College of Surveying and Geo-informatics, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9319-1640","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Surveying and Geo-informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.635,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84141897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6432121992111206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5677650570869446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5429931879043579},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37682199478149414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34390249848365784},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18412825465202332}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6432121992111206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5677650570869446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5429931879043579},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37682199478149414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34390249848365784},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18412825465202332}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2024.3387556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3387556","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:ris.utwente.nl:publications/773f0114-e031-4999-b38c-9a3ad9022624","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/773f0114-e031-4999-b38c-9a3ad9022624","pdf_url":"https://ris.utwente.nl/ws/files/390592785/Recognition_of_Indoor_Scenes_Using_3-D_Scene_Graphs.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Yue, H, Lehtola, V, Wu, H, Vosselman, G, Li, J & Liu, C 2024, 'Recognition of Indoor Scenes using 3D Scene Graphs', IEEE transactions on geoscience and remote sensing, vol. 62, 5703216, pp. 1-16. https://doi.org/10.1109/TGRS.2024.3387556","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:publications/773f0114-e031-4999-b38c-9a3ad9022624","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/773f0114-e031-4999-b38c-9a3ad9022624","pdf_url":"https://ris.utwente.nl/ws/files/390592785/Recognition_of_Indoor_Scenes_Using_3-D_Scene_Graphs.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Yue, H, Lehtola, V, Wu, H, Vosselman, G, Li, J & Liu, C 2024, 'Recognition of Indoor Scenes using 3D Scene Graphs', IEEE transactions on geoscience and remote sensing, vol. 62, 5703216, pp. 1-16. https://doi.org/10.1109/TGRS.2024.3387556","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4462949773","display_name":null,"funder_award_id":"22120240133","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7402470546","display_name":null,"funder_award_id":"42130106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8208701273","display_name":null,"funder_award_id":"42271429","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394711680.pdf","grobid_xml":"https://content.openalex.org/works/W4394711680.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W1662382123","https://openalex.org/W1966385142","https://openalex.org/W1994956562","https://openalex.org/W2017814585","https://openalex.org/W2071428855","https://openalex.org/W2077069816","https://openalex.org/W2097208978","https://openalex.org/W2112442216","https://openalex.org/W2122422695","https://openalex.org/W2152161678","https://openalex.org/W2162915993","https://openalex.org/W2194775991","https://openalex.org/W2560609797","https://openalex.org/W2572668347","https://openalex.org/W2594519801","https://openalex.org/W2604314403","https://openalex.org/W2732026016","https://openalex.org/W2788919350","https://openalex.org/W2809273606","https://openalex.org/W2905312384","https://openalex.org/W2947939217","https://openalex.org/W2959771705","https://openalex.org/W2962711740","https://openalex.org/W2963184176","https://openalex.org/W2963346996","https://openalex.org/W2964251001","https://openalex.org/W2964321699","https://openalex.org/W2968004941","https://openalex.org/W2979750740","https://openalex.org/W2983288276","https://openalex.org/W2990129662","https://openalex.org/W2990613095","https://openalex.org/W2997944991","https://openalex.org/W2998604091","https://openalex.org/W3012494314","https://openalex.org/W3021743785","https://openalex.org/W3034949383","https://openalex.org/W3039075121","https://openalex.org/W3039925688","https://openalex.org/W3100993589","https://openalex.org/W3113177135","https://openalex.org/W3116623932","https://openalex.org/W3132760549","https://openalex.org/W3160854011","https://openalex.org/W3173271937","https://openalex.org/W3188132485","https://openalex.org/W3204718685","https://openalex.org/W4200632144","https://openalex.org/W4206996644","https://openalex.org/W4281706128","https://openalex.org/W4281732104","https://openalex.org/W4297733535","https://openalex.org/W4312274934","https://openalex.org/W4366197620","https://openalex.org/W4382457953","https://openalex.org/W4383109105","https://openalex.org/W4385245566","https://openalex.org/W4394938913","https://openalex.org/W6631190155","https://openalex.org/W6637178625","https://openalex.org/W6697873463","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6753331806","https://openalex.org/W6754929296","https://openalex.org/W6761665040","https://openalex.org/W6766978945","https://openalex.org/W6772165193","https://openalex.org/W6780443396","https://openalex.org/W6796768152","https://openalex.org/W6805064671","https://openalex.org/W6810465265","https://openalex.org/W6839446344","https://openalex.org/W6845870094","https://openalex.org/W6851768568","https://openalex.org/W6853528422"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Scene":[0],"recognition":[1,46],"is":[2,15,61,111,181],"a":[3,103,114,121,125,127,130,133,138,141],"fundamental":[4],"task":[5],"in":[6,44,199,210,236],"3D":[7,70],"scene":[8,45,65,87,110,169,225],"understanding.":[9],"It":[10],"answers":[11],"the":[12,22,34,69,147,200,224,231,237],"question":[13],"\u2018What":[14],"this":[16],"place?\u2019.":[17],"In":[18],"an":[19,26],"indoor":[20,64,86,109,173,218],"environment,":[21],"answer":[23],"can":[24],"be":[25,221],"office,":[27],"kitchen,":[28],"lobby,":[29],"and":[30,56,92,96,143,196,204,207],"so":[31],"on.":[32],"As":[33],"number":[35],"of":[36,85,99,135,233],"point":[37,42],"clouds":[38],"increases,":[39],"using":[40,102],"embedded":[41],"information":[43],"becomes":[47],"computationally":[48],"heavy":[49],"to":[50,62,166,183,193],"process.":[51],"To":[52],"achieve":[53],"computational":[54],"efficiency":[55],"accurate":[57],"classification,":[58],"our":[59,161,185],"idea":[60],"use":[63],"graph":[66,163],"that":[67],"represents":[68,119],"spatial":[71,94,148],"structures":[72],"via":[73],"object":[74,90],"instances.":[75],"The":[76,171],"proposed":[77,162],"method":[78],"comprises":[79],"two":[80],"parts,":[81],"namely,":[82],"(i)":[83],"construction":[84],"graphs":[88,101,155],"leveraging":[89],"instances":[91],"their":[93],"relationships":[95],"(ii)":[97],"classification":[98,164,226],"these":[100,151,154],"deep":[104],"learning":[105],"network.":[106],"Specifically,":[107],"each":[108,117,144],"represented":[112],"by":[113],"graph,":[115],"where":[116],"node":[118],"either":[120],"structural":[122],"element":[123],"(like":[124,137],"ceiling,":[126],"wall,":[128],"or":[129,132,140],"floor)":[131],"piece":[134],"furniture":[136],"chair":[139],"table)":[142],"edge":[145],"encodes":[146],"relationship":[149],"between":[150],"elements.":[152],"Then":[153],"are":[156],"used":[157],"as":[158],"input":[159],"for":[160],"network":[165],"learn":[167],"different":[168],"representations.":[170],"public":[172],"dataset,":[174,203],"ScanNet":[175],"v2,":[176],"with":[177,191],"625.53":[178],"million":[179],"points":[180],"selected":[182],"test":[184],"method.":[186,214],"Experiments":[187],"yield":[188],"good":[189],"results":[190],"up":[192],"88.00%":[194],"accuracy":[195,206,227],"82.30%":[197],"F1-score":[198,209],"fixed":[201],"validation":[202,213],"90.46%":[205],"81.45%":[208],"10-fold":[211],"cross":[212],"Moreover,":[215],"if":[216],"some":[217],"objects":[219,235],"can\u2019t":[220],"successfully":[222],"identified,":[223],"depends":[228],"sub-linearly":[229],"on":[230],"rate":[232],"missing":[234],"scene.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
