{"id":"https://openalex.org/W2536208356","doi":"https://doi.org/10.1109/iccv.2009.5459211","title":"Decomposing a scene into geometric and semantically consistent regions","display_name":"Decomposing a scene into geometric and semantically consistent regions","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2536208356","doi":"https://doi.org/10.1109/iccv.2009.5459211","mag":"2536208356"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","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/A5071663279","display_name":"Stephen Jay Gould","orcid":"https://orcid.org/0000-0001-8929-7899"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Stephen Gould","raw_affiliation_strings":["Department of Electrical Engineering, University of Stanford, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Stanford, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089550661","display_name":"Richard Fulton","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Fulton","raw_affiliation_strings":["Department of Computer Science, University of Stanford, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Stanford, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051658526","display_name":"Daphne Koller","orcid":"https://orcid.org/0000-0002-2361-6479"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daphne Koller","raw_affiliation_strings":["Department of Computer Science, University of Stanford, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Stanford, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071663279"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":37.3982,"has_fulltext":false,"cited_by_count":701,"citation_normalized_percentile":{"value":0.99845135,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7508096098899841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7432124018669128},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6555711627006531},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.650443434715271},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5906500816345215},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5483440160751343},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5364468693733215},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5330107808113098},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5220629572868347},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5055046081542969},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45405441522598267},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4470616281032562},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.42601701617240906},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4239822328090668},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3666388988494873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15733471512794495},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11223432421684265}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7508096098899841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7432124018669128},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6555711627006531},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.650443434715271},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5906500816345215},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5483440160751343},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5364468693733215},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5330107808113098},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5220629572868347},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5055046081542969},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45405441522598267},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4470616281032562},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.42601701617240906},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4239822328090668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3666388988494873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15733471512794495},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11223432421684265},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv.2009.5459211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.159.3865","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.3865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.jhu.edu/~misha/ReadingSeminar/Papers/Gould09.pdf","raw_type":"text"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/58431","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/58431","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of IEEE International Conference on Computer Vision (ICCV 2009)","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1528789833","https://openalex.org/W1978493028","https://openalex.org/W2017313218","https://openalex.org/W2033819227","https://openalex.org/W2067191022","https://openalex.org/W2095844239","https://openalex.org/W2103380420","https://openalex.org/W2110764733","https://openalex.org/W2110917409","https://openalex.org/W2112301665","https://openalex.org/W2116445618","https://openalex.org/W2116877738","https://openalex.org/W2122006243","https://openalex.org/W2125310925","https://openalex.org/W2132947399","https://openalex.org/W2134529554","https://openalex.org/W2149954907","https://openalex.org/W2151095208","https://openalex.org/W2151698683","https://openalex.org/W2161969291","https://openalex.org/W2171048379","https://openalex.org/W2186094539","https://openalex.org/W3097096317","https://openalex.org/W4252621450","https://openalex.org/W6645069844","https://openalex.org/W6664369029","https://openalex.org/W6676523267","https://openalex.org/W6677695560","https://openalex.org/W6678000420"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2055243143","https://openalex.org/W1522196789"],"abstract_inverted_index":{"High-level,":[0],"or":[1],"holistic,":[2],"scene":[3,58,64,81],"understanding":[4,139],"involves":[5],"reasoning":[6],"about":[7],"objects,":[8],"regions,":[9],"and":[10,39,57,83,96,134,142],"the":[11,21,44,109,115,127,153,159],"3D":[12,156],"relationships":[13],"between":[14],"them.":[15],"This":[16],"requires":[17],"a":[18,51,63,76],"representation":[19],"above":[20],"level":[22],"of":[23,35,75,105,108,129,158],"pixels":[24],"that":[25,102,120],"can":[26,91,149],"be":[27,92,150],"endowed":[28],"with":[29],"high-level":[30],"attributes":[31],"such":[32],"as":[33,152],"class":[34],"object/region,":[36],"its":[37],"orientation,":[38],"(rough":[40],"3D)":[41],"location":[42],"within":[43],"scene.":[45,160],"Towards":[46],"this":[47,88],"goal,":[48],"we":[49,144],"propose":[50,112],"region-based":[52],"model":[53,70,148],"which":[54],"combines":[55],"appearance":[56,82],"geometry":[59],"to":[60,111],"automatically":[61],"decompose":[62],"into":[65],"semantically":[66],"meaningful":[67],"regions.":[68],"Our":[69],"is":[71],"defined":[72],"in":[73,114],"terms":[74],"unified":[77],"energy":[78,89],"function":[79,90],"over":[80],"structure.":[84],"We":[85,117],"show":[86,145],"how":[87,146],"learned":[93],"from":[94],"data":[95],"present":[97],"an":[98],"efficient":[99],"inference":[100],"technique":[101],"makes":[103],"use":[104],"multiple":[106],"over-segmentations":[107],"image":[110,132],"moves":[113],"energy-space.":[116],"show,":[118],"experimentally,":[119],"our":[121,147],"method":[122],"achieves":[123],"state-of-the-art":[124],"performance":[125],"on":[126],"tasks":[128],"both":[130],"multi-class":[131],"segmentation":[133],"geometric":[135],"reasoning.":[136],"Finally,":[137],"by":[138],"region":[140],"classes":[141],"geometry,":[143],"used":[151],"basis":[154],"for":[155],"reconstruction":[157]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":34},{"year":2020,"cited_by_count":37},{"year":2019,"cited_by_count":38},{"year":2018,"cited_by_count":54},{"year":2017,"cited_by_count":58},{"year":2016,"cited_by_count":84},{"year":2015,"cited_by_count":68},{"year":2014,"cited_by_count":78},{"year":2013,"cited_by_count":53},{"year":2012,"cited_by_count":45}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}