{"id":"https://openalex.org/W2060475276","doi":"https://doi.org/10.1109/cvpr.2012.6247721","title":"Figure-ground segmentation by transferring window masks","display_name":"Figure-ground segmentation by transferring window masks","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2060475276","doi":"https://doi.org/10.1109/cvpr.2012.6247721","mag":"2060475276"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/e192dcf2-1460-464a-aba0-c3c1156d0ee0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037464497","display_name":"Daniel Kuettel","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"D. Kuettel","raw_affiliation_strings":["Computer Vision Laboratory, ETH Zurich, Switzerland","Computer Vision Laboratory ETH Z\u00fcrich"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Computer Vision Laboratory ETH Z\u00fcrich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101423778","display_name":"Vittorio Ferrari","orcid":"https://orcid.org/0000-0002-1942-233X"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"V. Ferrari","raw_affiliation_strings":["School of Informatics, University of Edinburgh, UK","School of Informatics,University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"School of Informatics,University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037464497"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":18.6693,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.99454792,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"558","last_page":"565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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":0.9997000098228455,"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":0.9975000023841858,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.783592164516449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7567936778068542},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6641600728034973},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6309812068939209},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6304998397827148},{"id":"https://openalex.org/keywords/unary-operation","display_name":"Unary operation","score":0.5748404860496521},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.486680805683136},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4863072335720062},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.48499366641044617},{"id":"https://openalex.org/keywords/standard-test-image","display_name":"Standard test image","score":0.4709784984588623},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3806467652320862},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3421487808227539},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20305395126342773},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1581290066242218}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.783592164516449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567936778068542},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6641600728034973},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6309812068939209},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6304998397827148},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.5748404860496521},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.486680805683136},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4863072335720062},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.48499366641044617},{"id":"https://openalex.org/C180462255","wikidata":"https://www.wikidata.org/wiki/Q3559736","display_name":"Standard test image","level":4,"score":0.4709784984588623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3806467652320862},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3421487808227539},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20305395126342773},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1581290066242218},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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.2012.6247721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/e192dcf2-1460-464a-aba0-c3c1156d0ee0","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/e192dcf2-1460-464a-aba0-c3c1156d0ee0","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kuettel, D & Ferrari, V 2012, Figure-ground segmentation by transferring window masks. in Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. pp. 558-565. https://doi.org/10.1109/CVPR.2012.6247721","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/e192dcf2-1460-464a-aba0-c3c1156d0ee0","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6247721&queryText%3DFigure-ground+segmentation+by+transferring+window+masks","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/e192dcf2-1460-464a-aba0-c3c1156d0ee0","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/e192dcf2-1460-464a-aba0-c3c1156d0ee0","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kuettel, D & Ferrari, V 2012, Figure-ground segmentation by transferring window masks. in Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. pp. 558-565. https://doi.org/10.1109/CVPR.2012.6247721","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1528789833","https://openalex.org/W1548595933","https://openalex.org/W1555385401","https://openalex.org/W1566135517","https://openalex.org/W1590899626","https://openalex.org/W1748750709","https://openalex.org/W1785730614","https://openalex.org/W1989684337","https://openalex.org/W1995630294","https://openalex.org/W2017691720","https://openalex.org/W2022036199","https://openalex.org/W2022699039","https://openalex.org/W2056860348","https://openalex.org/W2057175746","https://openalex.org/W2073983104","https://openalex.org/W2083975035","https://openalex.org/W2084660905","https://openalex.org/W2086052791","https://openalex.org/W2091124216","https://openalex.org/W2101309634","https://openalex.org/W2113137767","https://openalex.org/W2115313253","https://openalex.org/W2117740473","https://openalex.org/W2120419212","https://openalex.org/W2123023145","https://openalex.org/W2124351162","https://openalex.org/W2125849446","https://openalex.org/W2128715914","https://openalex.org/W2129305389","https://openalex.org/W2134529554","https://openalex.org/W2136073770","https://openalex.org/W2145861118","https://openalex.org/W2147899407","https://openalex.org/W2149860324","https://openalex.org/W2150609397","https://openalex.org/W2151768982","https://openalex.org/W2157035885","https://openalex.org/W2159372453","https://openalex.org/W2162310225","https://openalex.org/W2165181841","https://openalex.org/W2169551590","https://openalex.org/W2171011251","https://openalex.org/W2296770417","https://openalex.org/W2533218643","https://openalex.org/W2536305071","https://openalex.org/W2964828868","https://openalex.org/W4248635988","https://openalex.org/W6631412525","https://openalex.org/W6632941408","https://openalex.org/W6633201533","https://openalex.org/W6635212758","https://openalex.org/W6637730771","https://openalex.org/W6638212498","https://openalex.org/W6671702253","https://openalex.org/W6678684981","https://openalex.org/W6681502592","https://openalex.org/W6682137105","https://openalex.org/W6682464122"],"related_works":["https://openalex.org/W2888918612","https://openalex.org/W2166285859","https://openalex.org/W3148597776","https://openalex.org/W1538206641","https://openalex.org/W2025370853","https://openalex.org/W3211656382","https://openalex.org/W2060412688","https://openalex.org/W1972183506","https://openalex.org/W4235940179","https://openalex.org/W2130769947"],"abstract_inverted_index":{"We":[0,24],"present":[1],"a":[2,18,33,78,100,139],"novel":[3,151],"technique":[4],"for":[5,120,142],"figure-ground":[6],"segmentation,":[7],"where":[8],"the":[9,22,26,63,74,85,88,124,128,143],"goal":[10],"is":[11,48,92],"to":[12,41,49,60,72,107,134,138,145,149],"separate":[13],"all":[14,30],"foreground":[15,43],"objects":[16],"in":[17,32,62,99],"test":[19,27,64,89,129],"image":[20,28,130,141],"from":[21,53],"background.":[23],"decompose":[25],"and":[29],"images":[31],"supervised":[34],"training":[35,54,125,140,157],"set":[36],"into":[37],"overlapping":[38],"windows":[39,55,61,116],"likely":[40],"cover":[42],"objects.":[44],"The":[45],"key":[46],"idea":[47],"transfer":[50,121],"segmentation":[51,103,171],"masks":[52,68],"that":[56],"are":[57,69],"visually":[58],"similar":[59,112,137],"image.":[65],"These":[66],"transferred":[67],"then":[70],"used":[71],"derive":[73],"unary":[75],"potentials":[76],"of":[77,87,156],"binary,":[79],"pairwise":[80],"energy":[81,113],"function":[82],"defined":[83],"over":[84],"pixels":[86],"image,":[90],"which":[91],"minimized":[93],"with":[94],"standard":[95],"graph-cuts.":[96],"This":[97,147],"results":[98,164],"fully":[101],"automatic":[102],"scheme,":[104],"as":[105,117,127],"opposed":[106],"interactive":[108],"techniques":[109],"based":[110],"on":[111,165],"functions.":[114],"Using":[115],"support":[118],"regions":[119],"efficiently":[122],"exploits":[123],"data,":[126],"does":[131],"not":[132],"need":[133],"be":[135],"globally":[136],"method":[144],"work.":[146],"enables":[148],"compose":[150],"scenes":[152],"using":[153],"local":[154],"parts":[155],"images.":[158],"Our":[159],"approach":[160],"obtains":[161],"very":[162],"competitive":[163],"three":[166],"datasets":[167],"(PASCAL":[168],"VOC":[169],"2010":[170],"challenge,":[172],"Weizmann":[173],"horses,":[174],"Graz-02).":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":23},{"year":2014,"cited_by_count":21},{"year":2013,"cited_by_count":22},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
