{"id":"https://openalex.org/W2765690300","doi":"https://doi.org/10.2312/pg.20171317","title":"Transferring Pose and Augmenting Background Variation for Deep Human Image Parsing","display_name":"Transferring Pose and Augmenting Background Variation for Deep Human Image Parsing","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2765690300","doi":"https://doi.org/10.2312/pg.20171317","mag":"2765690300"},"language":"en","primary_location":{"id":"doi:10.2312/pg.20171317","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pg.20171317","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pg.20171317","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075004408","display_name":"Takazumi Kikuchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kikuchi, Takazumi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079605823","display_name":"Yuki Endo","orcid":"https://orcid.org/0000-0001-5132-3350"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Endo, Yuki","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001835128","display_name":"Yoshihiro Kanamori","orcid":"https://orcid.org/0000-0003-2843-1729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kanamori, Yoshihiro","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054890985","display_name":"Taisuke Hashimoto","orcid":"https://orcid.org/0009-0008-8171-4262"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hashimoto, Taisuke","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5026765677","display_name":"Jun Mitani","orcid":"https://orcid.org/0000-0002-1596-844X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mitani, Jun","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075004408"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9966999888420105,"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":0.9966999888420105,"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":0.995199978351593,"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":0.986299991607666,"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":0.7064208984375},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.6424155831336975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5941944122314453},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5585718154907227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5415397882461548},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.414878249168396},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40193378925323486}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7064208984375},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.6424155831336975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5941944122314453},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5585718154907227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5415397882461548},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.414878249168396},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40193378925323486},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/pg.20171317","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pg.20171317","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2765690300","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/pg/pg2017s.html#KikuchiEKHM17","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/pg.20171317","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pg.20171317","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2316621800","https://openalex.org/W3144536279","https://openalex.org/W2561491196","https://openalex.org/W2543102895","https://openalex.org/W1537239577","https://openalex.org/W2166395996","https://openalex.org/W2146440717","https://openalex.org/W2904046168","https://openalex.org/W2129736701","https://openalex.org/W2148780012","https://openalex.org/W2109166259","https://openalex.org/W2161438453","https://openalex.org/W2485635129","https://openalex.org/W3022294839","https://openalex.org/W3111545942","https://openalex.org/W1489610562","https://openalex.org/W1707366213","https://openalex.org/W2046165727","https://openalex.org/W2079002773","https://openalex.org/W2356109060"],"abstract_inverted_index":{"Human":[0],"parsing":[1,66,94],"is":[2,37,131],"a":[3,11,58],"fundamental":[4],"task":[5],"to":[6,46,52,70,91,97,135],"estimate":[7],"semantic":[8],"parts":[9],"in":[10,68],"human":[12,65,93,115,136],"image":[13,123],"such":[14],"as":[15],"face,":[16],"arm,":[17],"leg,":[18],"hat,":[19],"and":[20,87,133],"dress.":[21],"Recent":[22],"deep-learning":[23],"based":[24],"methods":[25],"have":[26],"achieved":[27],"significant":[28],"improvements,":[29],"but":[30],"collecting":[31],"training":[32],"datasets":[33,86],"of":[34,105,114,127],"pixel-wise":[35],"annotations":[36],"labor-intensive.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,56,101],"propose":[43],"two":[44,129],"solutions":[45,130],"cope":[47],"with":[48,117],"limited":[49],"dataset.":[50],"First,":[51],"handle":[53,98],"various":[54],"poses,":[55],"incorporate":[57],"pose":[59,78],"estimation":[60,79],"network":[61,67,80],"into":[62],"an":[63],"end-to-end":[64],"order":[69],"transfer":[71],"common":[72],"features":[73,90],"across":[74],"the":[75,92,103,111,128],"domains.":[76],"The":[77],"can":[81],"be":[82],"trained":[83],"using":[84],"rich":[85],"feed":[88],"valuable":[89],"network.":[95],"Second,":[96],"complicated":[99],"backgrounds,":[100],"increase":[102],"variations":[104],"background":[106],"images":[107,116],"automatically":[108],"by":[109],"replacing":[110],"original":[112],"backgrounds":[113],"those":[118],"obtained":[119],"from":[120],"large-scale":[121],"scenery":[122],"datasets.":[124],"While":[125],"each":[126],"versatile":[132],"beneficial":[134],"parsing,":[137],"their":[138],"combination":[139],"yields":[140],"further":[141],"improvement.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}