{"id":"https://openalex.org/W1949353153","doi":"https://doi.org/10.1109/cvpr.2015.7298786","title":"PatchCut: Data-driven object segmentation via local shape transfer","display_name":"PatchCut: Data-driven object segmentation via local shape transfer","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1949353153","doi":"https://doi.org/10.1109/cvpr.2015.7298786","mag":"1949353153"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298786","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":null,"display_name":"Jimei Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jimei Yang","raw_affiliation_strings":["University of California Merced, Merced, CA, US","UC Merced, 5200 Lake Rd, California 95343, United States"],"affiliations":[{"raw_affiliation_string":"University of California Merced, Merced, CA, US","institution_ids":["https://openalex.org/I156087764"]},{"raw_affiliation_string":"UC Merced, 5200 Lake Rd, California 95343, United States","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110699179","display_name":"Brian Price","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101198","display_name":"Adobe Gastroenterology","ror":"https://ror.org/015n4kv50","country_code":"US","type":"other","lineage":["https://openalex.org/I4210101198"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Price","raw_affiliation_strings":["Adobe Research, AZ, United States","Adobe Research, Tucson, AZ 85712, United States"],"affiliations":[{"raw_affiliation_string":"Adobe Research, AZ, United States","institution_ids":[]},{"raw_affiliation_string":"Adobe Research, Tucson, AZ 85712, United States","institution_ids":["https://openalex.org/I4210101198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055156362","display_name":"Scott Cohen","orcid":"https://orcid.org/0000-0002-3459-6899"},"institutions":[{"id":"https://openalex.org/I4210101198","display_name":"Adobe Gastroenterology","ror":"https://ror.org/015n4kv50","country_code":"US","type":"other","lineage":["https://openalex.org/I4210101198"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Cohen","raw_affiliation_strings":["Adobe Research, AZ, United States","Adobe Research, Tucson, AZ 85712, United States"],"affiliations":[{"raw_affiliation_string":"Adobe Research, AZ, United States","institution_ids":[]},{"raw_affiliation_string":"Adobe Research, Tucson, AZ 85712, United States","institution_ids":["https://openalex.org/I4210101198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101564904","display_name":"Zhe Lin","orcid":"https://orcid.org/0000-0003-1154-9907"},"institutions":[{"id":"https://openalex.org/I4210101198","display_name":"Adobe Gastroenterology","ror":"https://ror.org/015n4kv50","country_code":"US","type":"other","lineage":["https://openalex.org/I4210101198"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhe Lin","raw_affiliation_strings":["Adobe Research, AZ, United States","Adobe Research, Tucson, AZ 85712, United States"],"affiliations":[{"raw_affiliation_string":"Adobe Research, AZ, United States","institution_ids":[]},{"raw_affiliation_string":"Adobe Research, Tucson, AZ 85712, United States","institution_ids":["https://openalex.org/I4210101198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418319","display_name":"Ming\u2013Hsuan Yang","orcid":"https://orcid.org/0000-0003-4848-2304"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming-Hsuan Yang","raw_affiliation_strings":["UC Merced, California, United States","UC Merced, 5200 Lake Rd, California 95343, United States"],"affiliations":[{"raw_affiliation_string":"UC Merced, California, United States","institution_ids":["https://openalex.org/I156087764"]},{"raw_affiliation_string":"UC Merced, 5200 Lake Rd, California 95343, United States","institution_ids":["https://openalex.org/I156087764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I156087764"],"apc_list":null,"apc_paid":null,"fwci":2.9954,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.9411504,"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":"1770","last_page":"1778"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9983999729156494,"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":0.7684117555618286},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7602697014808655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.746807336807251},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6835595369338989},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6620001196861267},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.646355152130127},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5868949294090271},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.562592625617981},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5609914660453796},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5356236696243286},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5333905816078186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46089616417884827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684117555618286},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7602697014808655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.746807336807251},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6835595369338989},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6620001196861267},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.646355152130127},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5868949294090271},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.562592625617981},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5609914660453796},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5356236696243286},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5333905816078186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46089616417884827},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2015.7298786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298786","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:CiteSeerX.psu:10.1.1.717.7471","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.7471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://eng.ucmerced.edu/people/jyang44/papers/cvpr15_patch_final.pdf","raw_type":"text"},{"id":"pmh:oai:repository.hanyang.ac.kr:20.500.11754/25641","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/document/7298786/?isnumber=7298593&arnumber=7298786","pdf_url":null,"source":{"id":"https://openalex.org/S4306401328","display_name":"The Royal Society of Chemistry\u2019s Journals, Books and Databases (The Royal Society of Chemistry)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2751430930","host_organization_name":"Royal Society of Chemistry","host_organization_lineage":["https://openalex.org/I2751430930"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320315361","display_name":"\u0395\u03b8\u03bd\u03b9\u03ba\u03cc '\u038a\u03b4\u03c1\u03c5\u03bc\u03b1 \u0395\u03c1\u03b5\u03c5\u03bd\u03ce\u03bd","ror":"https://ror.org/033m02g29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1501467284","https://openalex.org/W1590899626","https://openalex.org/W1763426478","https://openalex.org/W1982075130","https://openalex.org/W1995911388","https://openalex.org/W1996140089","https://openalex.org/W2017691720","https://openalex.org/W2022036199","https://openalex.org/W2027327099","https://openalex.org/W2037227137","https://openalex.org/W2037954058","https://openalex.org/W2039800185","https://openalex.org/W2050952849","https://openalex.org/W2060475276","https://openalex.org/W2065296697","https://openalex.org/W2074621908","https://openalex.org/W2086791339","https://openalex.org/W2089823622","https://openalex.org/W2122076510","https://openalex.org/W2124351162","https://openalex.org/W2124861766","https://openalex.org/W2125215748","https://openalex.org/W2129587342","https://openalex.org/W2135957164","https://openalex.org/W2154644822","https://openalex.org/W2154791445","https://openalex.org/W2155893237","https://openalex.org/W2158097779","https://openalex.org/W2158305599","https://openalex.org/W2163605009","https://openalex.org/W2163766261","https://openalex.org/W2169551590","https://openalex.org/W2172275395","https://openalex.org/W2186094539","https://openalex.org/W2252984343","https://openalex.org/W2296770417","https://openalex.org/W2533218643","https://openalex.org/W4239147634","https://openalex.org/W6629747462","https://openalex.org/W6635212758","https://openalex.org/W6637776403","https://openalex.org/W6660241312","https://openalex.org/W6666665630","https://openalex.org/W6680437723","https://openalex.org/W6682519532","https://openalex.org/W6684191040","https://openalex.org/W6686583229"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"Object":[0,134],"segmentation":[1,85,117],"is":[2],"highly":[3],"desirable":[4],"for":[5,97],"image":[6,65],"understanding":[7],"and":[8,88,136,141],"editing.":[9],"Current":[10],"interactive":[11],"tools":[12],"require":[13],"a":[14,42,83,92],"great":[15],"deal":[16],"of":[17,28,104,118,143],"user":[18],"effort":[19],"while":[20],"automatic":[21],"methods":[22],"are":[23,111],"usually":[24],"limited":[25],"to":[26,48,57,72,113],"images":[27,69],"special":[29],"object":[30,99],"categories":[31],"or":[32],"with":[33,67,123],"high":[34],"color":[35,124],"contrast.":[36],"In":[37,101],"this":[38],"paper,":[39],"we":[40,62,89],"propose":[41],"data-driven":[43],"algorithm":[44],"that":[45],"uses":[46],"examples":[47],"break":[49],"through":[50],"these":[51],"limits.":[52],"As":[53],"similar":[54,59],"objects":[55],"tend":[56],"share":[58],"local":[60,74,79,107],"shapes,":[61],"match":[63],"query":[64],"patches":[66],"example":[68],"in":[70],"multiscale":[71],"enable":[73],"shape":[75,80,108],"transfer.":[76],"The":[77],"transferred":[78],"masks":[81],"constitute":[82],"patch-level":[84],"solution":[86],"space":[87],"thus":[90],"develop":[91],"novel":[93],"cascade":[94],"algorithm,":[95],"PatchCut,":[96],"coarse-to-fine":[98],"segmentation.":[100],"each":[102],"stage":[103,121],"the":[105,115,119,139],"cascade,":[106],"mask":[109],"candidates":[110],"selected":[112],"refine":[114],"estimated":[116],"previous":[120],"iteratively":[122],"models.":[125],"Experimental":[126],"results":[127],"on":[128],"various":[129],"datasets":[130],"(Weizmann":[131],"Horse,":[132],"Fashionista,":[133],"Discovery":[135],"PASCAL)":[137],"demonstrate":[138],"effectiveness":[140],"robustness":[142],"our":[144],"algorithm.":[145]},"counts_by_year":[{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}