{"id":"https://openalex.org/W3162477590","doi":"https://doi.org/10.1109/icpr48806.2021.9412887","title":"Weakly Supervised Body Part Segmentation with Pose based Part Priors","display_name":"Weakly Supervised Body Part Segmentation with Pose based Part Priors","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3162477590","doi":"https://doi.org/10.1109/icpr48806.2021.9412887","mag":"3162477590"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5050209478","display_name":"Zhengyuan Yang","orcid":"https://orcid.org/0000-0002-5808-0889"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhengyuan Yang","raw_affiliation_strings":["University of Rochester"],"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101822837","display_name":"Yuncheng Li","orcid":"https://orcid.org/0000-0002-6772-5001"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuncheng Li","raw_affiliation_strings":["Google Inc"],"affiliations":[{"raw_affiliation_string":"Google Inc","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042544148","display_name":"Linjie Yang","orcid":"https://orcid.org/0000-0003-2766-1143"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linjie Yang","raw_affiliation_strings":["ByteDance AI Lab"],"affiliations":[{"raw_affiliation_string":"ByteDance AI Lab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404866","display_name":"Ning Zhang","orcid":"https://orcid.org/0000-0002-4569-0397"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Zhang","raw_affiliation_strings":["Vaitl Inc"],"affiliations":[{"raw_affiliation_string":"Vaitl Inc","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["University of Rochester"],"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050209478"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46812092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"286","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9979000091552734,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9944999814033508,"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/segmentation","display_name":"Segmentation","score":0.8203994631767273},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7892279624938965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7464224696159363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7302126288414001},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6498932838439941},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6145907640457153},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5418851971626282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46767979860305786},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4073193669319153},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33585652709007263},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.16731113195419312}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8203994631767273},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7892279624938965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7464224696159363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7302126288414001},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6498932838439941},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6145907640457153},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5418851971626282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46767979860305786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4073193669319153},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33585652709007263},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.16731113195419312},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6637400657","display_name":null,"funder_award_id":"IIS-1704337,IIS-1722847,IIS-1813709","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W611457968","https://openalex.org/W1796263212","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1994529670","https://openalex.org/W2012885984","https://openalex.org/W2049569768","https://openalex.org/W2104408738","https://openalex.org/W2121339428","https://openalex.org/W2124592697","https://openalex.org/W2133515615","https://openalex.org/W2161236525","https://openalex.org/W2163879248","https://openalex.org/W2221898772","https://openalex.org/W2295107390","https://openalex.org/W2306289963","https://openalex.org/W2309415944","https://openalex.org/W2337429362","https://openalex.org/W2598915960","https://openalex.org/W2605111198","https://openalex.org/W2605214291","https://openalex.org/W2797382244","https://openalex.org/W2798453399","https://openalex.org/W2798922769","https://openalex.org/W2883779225","https://openalex.org/W2886773299","https://openalex.org/W2886799640","https://openalex.org/W2894913190","https://openalex.org/W2950107101","https://openalex.org/W2952793010","https://openalex.org/W2962982136","https://openalex.org/W2963458902","https://openalex.org/W2963687373","https://openalex.org/W2963746383","https://openalex.org/W2963758239","https://openalex.org/W2963805953","https://openalex.org/W2963921921","https://openalex.org/W2963948108","https://openalex.org/W2963992782","https://openalex.org/W2964070329","https://openalex.org/W2964072977","https://openalex.org/W2964178599","https://openalex.org/W2964309882","https://openalex.org/W2965120230","https://openalex.org/W3009224666","https://openalex.org/W6638488279","https://openalex.org/W6639102338","https://openalex.org/W6691937106","https://openalex.org/W6698113398","https://openalex.org/W6698540767","https://openalex.org/W6736301864","https://openalex.org/W6747124069","https://openalex.org/W6748481559","https://openalex.org/W6749841200","https://openalex.org/W6750391689","https://openalex.org/W6753098012","https://openalex.org/W6753838793","https://openalex.org/W6753880530","https://openalex.org/W6755150731"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W2971179492","https://openalex.org/W4286681602","https://openalex.org/W3209312100","https://openalex.org/W2787282551","https://openalex.org/W2963676873","https://openalex.org/W2020477327"],"abstract_inverted_index":{"Human":[0],"body":[1,16,20,66,89,111],"part":[2,21,36,52,90,112,119,126,182],"segmentation":[3,12,22,91,183],"refers":[4],"to":[5,34,42,106,149,179],"the":[6,10,76,85,99,107,118,124,131,150,157,162,166,170],"task":[7],"of":[8,32,51,58,78,110],"predicting":[9],"semantic":[11],"mask":[13,53,120],"for":[14,38,47],"each":[15],"part.":[17],"Fully":[18],"supervised":[19,88,141,152],"methods":[23],"achieve":[24],"good":[25],"performances":[26],"but":[27],"require":[28],"an":[29],"enormous":[30],"amount":[31],"effort":[33],"annotate":[35],"masks":[37,67,127],"training.":[39],"In":[40],"contrast":[41],"high":[43],"annotation":[44],"costs":[45],"needed":[46],"a":[48,55,144],"limited":[49],"number":[50,57],"annotations,":[54],"large":[56],"weak":[59,81,101,137],"labels":[60,102],"such":[61,103,185],"as":[62,104,186],"poses":[63,130],"and":[64,70,114],"full":[65],"already":[68],"exist":[69],"contain":[71],"relevant":[72],"information.":[73],"Motivated":[74],"by":[75],"possibility":[77],"using":[79],"existing":[80],"labels,":[82,138],"we":[83,174],"propose":[84],"first":[86,97],"weakly":[87,140],"framework.":[92],"The":[93],"core":[94],"idea":[95],"is":[96],"converting":[98],"sparse":[100],"keypoints":[105],"initial":[108,125],"estimate":[109],"masks,":[113],"then":[115],"iteratively":[116],"refine":[117],"predictions.":[121],"We":[122],"name":[123],"estimated":[128],"from":[129],"\u201cpart":[132],"priors\u201d.":[133],"with":[134],"sufficient":[135],"extra":[136],"our":[139,176],"framework":[142,168,178],"achieves":[143],"comparable":[145],"performance":[146],"(62.0%":[147],"mIoU)":[148,155],"fully":[151],"method":[153],"(63.6%":[154],"on":[156],"Pascal-Person-Part":[158],"dataset.":[159],"Furthermore,":[160],"in":[161],"extended":[163],"semi-supervised":[164],"setting,":[165],"proposed":[167,177],"outperforms":[169],"state-of-art":[171],"methods.":[172],"Moreover,":[173],"extend":[175],"other":[180],"keypoint-supervised":[181],"tasks":[184],"face":[187],"parsing.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
