{"id":"https://openalex.org/W1901321957","doi":"https://doi.org/10.1109/cvpr.2015.7299091","title":"Separating objects and clutter in indoor scenes","display_name":"Separating objects and clutter in indoor scenes","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1901321957","doi":"https://doi.org/10.1109/cvpr.2015.7299091","mag":"1901321957"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","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/A5000300751","display_name":"Salman Khan","orcid":"https://orcid.org/0000-0002-9502-1749"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. H. Khan","raw_affiliation_strings":["School of EECE UWA","School of CSSE UWA, Australia"],"affiliations":[{"raw_affiliation_string":"School of EECE UWA","institution_ids":[]},{"raw_affiliation_string":"School of CSSE UWA, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015970030","display_name":"Xuming He","orcid":"https://orcid.org/0000-0003-2150-1237"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuming He","raw_affiliation_strings":["NICTA and ANU","NICTA and ANU, Australia#TAB#"],"affiliations":[{"raw_affiliation_string":"NICTA and ANU","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"NICTA and ANU, Australia#TAB#","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111760678","display_name":"Mohammed Bannamoun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Bannamoun","raw_affiliation_strings":["School of EECE UWA","School of CSSE UWA, Australia"],"affiliations":[{"raw_affiliation_string":"School of EECE UWA","institution_ids":[]},{"raw_affiliation_string":"School of CSSE UWA, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002219416","display_name":"Ferdous Sohel","orcid":"https://orcid.org/0000-0003-1557-4907"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"F. Sohel","raw_affiliation_strings":["School of EECE UWA","School of CSSE UWA, Australia"],"affiliations":[{"raw_affiliation_string":"School of EECE UWA","institution_ids":[]},{"raw_affiliation_string":"School of CSSE UWA, Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017213156","display_name":"Roberto Togneri","orcid":"https://orcid.org/0000-0002-3778-4633"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Togneri","raw_affiliation_strings":["School of EECE UWA","School of EECE UWA, Australia"],"affiliations":[{"raw_affiliation_string":"School of EECE UWA","institution_ids":[]},{"raw_affiliation_string":"School of EECE UWA, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000300751"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4006,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80453318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4603","last_page":"4611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"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":0.9979000091552734,"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/clutter","display_name":"Clutter","score":0.8390111923217773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7790207266807556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7515961527824402},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.6070231795310974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6062656044960022},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5661169290542603},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5482287406921387},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5290041565895081},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5274512767791748},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46877020597457886},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4680001139640808},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4522068202495575}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8390111923217773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7790207266807556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7515961527824402},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6070231795310974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6062656044960022},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5661169290542603},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5482287406921387},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5290041565895081},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5274512767791748},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46877020597457886},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4680001139640808},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4522068202495575},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2015.7299091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/955a3b50-1230-4f1a-80e5-1eae6ceb5a70","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/955a3b50-1230-4f1a-80e5-1eae6ceb5a70","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Khan , S H , He , X , Bannamoun , M , Sohel , F & Togneri , R 2015 , Separating objects and clutter in indoor scenes . in IEEE Conference on Computer Vision and Pattern Recognition . vol. 07-12-June-2015 , IEEE, Institute of Electrical and Electronics Engineers , pp. 4603-4611 , Separating objects and clutter in indoor scenes , 1/01/15 . https://doi.org/10.1109/CVPR.2015.7299091","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:researchrepository.murdoch.edu.au:28453","is_oa":false,"landing_page_url":"http://researchrepository.murdoch.edu.au/id/eprint/28453/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400274","display_name":"Murdoch Research Repository (Murdoch University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I176790772","host_organization_name":"Murdoch University","host_organization_lineage":["https://openalex.org/I176790772"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"  Khan, S., He, X., Bennamoun, M., Togneri, R. and Sohel, F. <http://researchrepository.murdoch.edu.au/view/author/Sohel, Ferdous.html>   (2015)  Separating objects and clutter in indoor scenes.   In: Computer Vision (CVPR) 2015, 8 - 10 June 2015, Boston, MA   ","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6800000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W218762409","https://openalex.org/W1486646730","https://openalex.org/W1673310716","https://openalex.org/W1879956189","https://openalex.org/W1964201035","https://openalex.org/W1991817626","https://openalex.org/W1995628331","https://openalex.org/W2008389133","https://openalex.org/W2031248101","https://openalex.org/W2034308880","https://openalex.org/W2046382188","https://openalex.org/W2065090505","https://openalex.org/W2074142320","https://openalex.org/W2084146405","https://openalex.org/W2091364465","https://openalex.org/W2097800203","https://openalex.org/W2103444992","https://openalex.org/W2106122512","https://openalex.org/W2107942601","https://openalex.org/W2110158442","https://openalex.org/W2112255529","https://openalex.org/W2113107168","https://openalex.org/W2113449189","https://openalex.org/W2118246710","https://openalex.org/W2118824402","https://openalex.org/W2127911825","https://openalex.org/W2145567954","https://openalex.org/W2152571752","https://openalex.org/W2168356304","https://openalex.org/W2172108647","https://openalex.org/W2534523274","https://openalex.org/W6605121731","https://openalex.org/W6608795618","https://openalex.org/W6629070694","https://openalex.org/W6637131181","https://openalex.org/W6639513473","https://openalex.org/W6648286657","https://openalex.org/W6675541922","https://openalex.org/W6676080546","https://openalex.org/W6677541552","https://openalex.org/W6679152795","https://openalex.org/W6940791371"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2735662278","https://openalex.org/W2333771223","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W2356597680","https://openalex.org/W1987484445","https://openalex.org/W2027384988"],"abstract_inverted_index":{"Objects'":[0],"spatial":[1],"layout":[2],"estimation":[3],"and":[4,59,82,111,130,138,147],"clutter":[5],"identification":[6],"are":[7],"two":[8,45],"important":[9],"tasks":[10],"to":[11,17,35,72,100,127],"understand":[12],"indoor":[13,31],"scenes.":[14,32],"We":[15,88,120],"propose":[16],"solve":[18],"both":[19],"of":[20,30,43,77,97,144],"these":[21,44],"problems":[22],"in":[23,141],"a":[24,74,90,95,106,112],"joint":[25],"framework":[26],"using":[27],"RGBD":[28,109],"images":[29],"In":[33],"contrast":[34],"recent":[36],"approaches":[37],"which":[38],"focus":[39],"on":[40],"either":[41],"one":[42],"problems,":[46],"we":[47],"perform":[48],"\u2018fine":[49],"grained":[50],"structure":[51],"categorization\u2019":[52],"by":[53],"predicting":[54],"all":[55],"the":[56,62,85,102,142],"major":[57],"objects":[58],"simultaneously":[60],"labeling":[61],"cluttered":[63,132],"regions.":[64],"A":[65],"conditional":[66],"random":[67],"field":[68],"model":[69,103],"is":[70,125],"proposed":[71],"incorporate":[73],"rich":[75],"set":[76],"local":[78],"appearance,":[79],"geometric":[80],"features":[81],"interactions":[83],"between":[84],"scene":[86,139],"elements.":[87],"take":[89],"structural":[91],"learning":[92],"approach":[93,124],"with":[94],"loss":[96],"3D":[98],"localisation":[99],"estimate":[101,131],"parameters":[104],"from":[105],"large":[107],"annotated":[108],"dataset,":[110],"mixed":[113],"integer":[114],"linear":[115],"programming":[116],"formulation":[117],"for":[118],"inference.":[119],"demonstrate":[121],"that":[122],"our":[123],"able":[126],"detect":[128],"cuboids":[129],"regions":[133],"across":[134],"many":[135],"different":[136],"object":[137],"categories":[140],"presence":[143],"occlusion,":[145],"illumination":[146],"appearance":[148],"variations.":[149]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}