{"id":"https://openalex.org/W2970957794","doi":"https://doi.org/10.1109/icip.2019.8799367","title":"Portrait Segmentation by Deep Refinement of Image Matting","display_name":"Portrait Segmentation by Deep Refinement of Image Matting","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970957794","doi":"https://doi.org/10.1109/icip.2019.8799367","mag":"2970957794"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8799367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8799367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064743228","display_name":"Carlos Orrite","orcid":"https://orcid.org/0000-0002-0903-5520"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos Orrite","raw_affiliation_strings":["University of Zaragoza, Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089766223","display_name":"Miguel Angel Varona","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel Angel Varona","raw_affiliation_strings":["University of Zaragoza, Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071140813","display_name":"Eduardo Estopinan","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Eduardo Estopinan","raw_affiliation_strings":["University of Zaragoza, Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110186106","display_name":"Jos\u00e9 Ram\u00f3n Beltr\u00e1n","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Ramon Beltran","raw_affiliation_strings":["University of Zaragoza, Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I255234318"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1495","last_page":"1499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9952999949455261,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9952999949455261,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9922999739646912,"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/portrait","display_name":"Portrait","score":0.7082874774932861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6662582159042358},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6237171292304993},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6058527827262878},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6016154885292053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5892965793609619},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5435963869094849},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3281138837337494},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.1889650523662567},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.13291332125663757}],"concepts":[{"id":"https://openalex.org/C162462552","wikidata":"https://www.wikidata.org/wiki/Q134307","display_name":"Portrait","level":2,"score":0.7082874774932861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6662582159042358},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6237171292304993},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6058527827262878},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6016154885292053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5892965793609619},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5435963869094849},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3281138837337494},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.1889650523662567},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.13291332125663757}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8799367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8799367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2007640671","https://openalex.org/W2157887643","https://openalex.org/W2395611524","https://openalex.org/W2400000673","https://openalex.org/W2518810941","https://openalex.org/W2776001714","https://openalex.org/W2785694322","https://openalex.org/W2962835968","https://openalex.org/W2962891619","https://openalex.org/W2963876278","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6746619045"],"related_works":["https://openalex.org/W3169920643","https://openalex.org/W2360001249","https://openalex.org/W594086971","https://openalex.org/W2315550989","https://openalex.org/W2031725242","https://openalex.org/W2141684174","https://openalex.org/W27177127","https://openalex.org/W4383739071","https://openalex.org/W2358709380","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Portrait":[0],"segmentation":[1,25],"is":[2,46],"becoming":[3],"a":[4,13,44,81,106,112],"hot":[5],"topic":[6],"nowadays.":[7],"In":[8],"this":[9,76],"paper":[10],"we":[11,79,101],"propose":[12],"novel":[14,41],"framework":[15],"to":[16],"cope":[17],"with":[18],"the":[19,34,71,93,103,121,127,137],"high":[20],"precision":[21],"requirements":[22],"that":[23],"portrait":[24,35,104,128],"demands":[26],"on":[27,120],"boundary":[28,91],"area":[29],"by":[30,48,105,111],"deep":[31],"refinement":[32],"of":[33,83,86,140],"matting.":[36],"Our":[37],"approach":[38,119],"introduces":[39],"three":[40],"techniques.":[42],"First,":[43],"trimap":[45,73],"proposed":[47],"fusing":[49],"information":[50],"coming":[51],"from":[52,131],"two":[53],"well-known":[54],"techniques":[55],"for":[56],"image":[57],"segmentation,":[58],"i.e.,":[59],"Mask":[60],"R-CNN":[61],"and":[62,92],"DensePose.":[63],"Second,":[64],"an":[65],"alpha":[66],"matting":[67],"algorithm":[68,142],"runs":[69],"over":[70,143],"previous":[72,144],"generate.":[74],"From":[75],"mate":[77],"result":[78],"generate":[80],"couple":[82],"masks,":[84],"one":[85,95],"them":[87],"boundary-sensitive":[88],"kernel,":[89],"called":[90,98],"other":[94],"inside-sensitive":[96],"kernel":[97],"leftover.":[99],"Third,":[100],"refine":[102],"pre-trained":[107],"CNN-based":[108],"model,":[109],"followed":[110],"transposed":[113],"convolution.":[114],"We":[115],"have":[116],"evaluated":[117],"our":[118,141],"PFCN":[122],"dataset":[123],"as":[124,126],"well":[125],"images":[129],"collected":[130],"COCO":[132],"dataset.":[133],"Experimental":[134],"results":[135],"demonstrate":[136],"better":[138],"performance":[139],"methods.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}