{"id":"https://openalex.org/W2895818027","doi":"https://doi.org/10.1145/3240508.3240634","title":"Trusted Guidance Pyramid Network for Human Parsing","display_name":"Trusted Guidance Pyramid Network for Human Parsing","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2895818027","doi":"https://doi.org/10.1145/3240508.3240634","mag":"2895818027"},"language":"en","primary_location":{"id":"doi:10.1145/3240508.3240634","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","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/A5027224661","display_name":"Xianghui Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianghui Luo","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084552425","display_name":"Zhuo Su","orcid":"https://orcid.org/0000-0002-6090-0110"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Su","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101500206","display_name":"Jiaming Guo","orcid":"https://orcid.org/0000-0002-4774-2074"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaming Guo","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048961496","display_name":"Gengwei Zhang","orcid":"https://orcid.org/0000-0003-1823-502X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengwei Zhang","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006921134","display_name":"Xiangjian He","orcid":"https://orcid.org/0000-0001-8962-540X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiangjian He","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027224661"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":2.5517,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.92641125,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"654","last_page":"662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8404098749160767},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.8011478781700134},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6446096897125244},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6052080988883972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5864062905311584},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44687822461128235},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.4204222857952118},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42037510871887207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3600674867630005},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3331700563430786},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.21460041403770447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8404098749160767},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8011478781700134},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6446096897125244},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6052080988883972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5864062905311584},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44687822461128235},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.4204222857952118},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42037510871887207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3600674867630005},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3331700563430786},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.21460041403770447},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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:10.1145/3240508.3240634","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/130737","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/130737","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320323430","display_name":"Central University of Technology","ror":"https://ror.org/033z08192"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1817277359","https://openalex.org/W1923697677","https://openalex.org/W1962739028","https://openalex.org/W1973255633","https://openalex.org/W1994769389","https://openalex.org/W2022508996","https://openalex.org/W2038147967","https://openalex.org/W2047809566","https://openalex.org/W2074621908","https://openalex.org/W2109255472","https://openalex.org/W2115091888","https://openalex.org/W2143183660","https://openalex.org/W2153110463","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2204578866","https://openalex.org/W2236679687","https://openalex.org/W2296973526","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2557993245","https://openalex.org/W2559597482","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2592939477","https://openalex.org/W2593649459","https://openalex.org/W2599765304","https://openalex.org/W2630837129","https://openalex.org/W2753588254","https://openalex.org/W2765978932","https://openalex.org/W2950107101","https://openalex.org/W2950762923","https://openalex.org/W2952025147","https://openalex.org/W2962891704","https://openalex.org/W2963351448","https://openalex.org/W2963563573","https://openalex.org/W2963840672","https://openalex.org/W2964070329","https://openalex.org/W2964309882","https://openalex.org/W3098379913"],"related_works":["https://openalex.org/W2022849497","https://openalex.org/W2407190427","https://openalex.org/W2792937288","https://openalex.org/W3081299480","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W2619584063","https://openalex.org/W3002446410","https://openalex.org/W2952780262","https://openalex.org/W4390224712"],"abstract_inverted_index":{"Human":[0],"parsing,":[1],"which":[2,113],"segments":[3],"a":[4,11,42,55,60,71,88,105,143],"human-centric":[5],"image":[6],"into":[7,117],"pixel-wise":[8],"categorization,":[9],"has":[10,142,153],"wide":[12],"range":[13],"of":[14,18,27,70],"applications.":[15],"However,":[16],"none":[17],"the":[19,25,68,83],"existing":[20],"methods":[21],"can":[22],"productively":[23],"solve":[24],"issue":[26],"label":[28,148],"parsing":[29,118,135,149],"fragmentation":[30,150],"due":[31],"to":[32,49,74],"confused":[33],"and":[34,78,97,152],"complicated":[35],"annotations.":[36],"In":[37,82],"this":[38,51],"paper,":[39],"we":[40,58,86,103],"propose":[41,87],"novel":[43],"Trusted":[44,89,109],"Guidance":[45,90,110],"Pyramid":[46,61],"Network":[47],"(TGPNet)":[48],"address":[50],"limitation.":[52],"Based":[53],"on":[54,131],"pyramid":[56],"architecture,":[57],"design":[59],"Residual":[62],"Pooling":[63],"(PRP)":[64],"module":[65],"setting":[66],"at":[67],"end":[69],"bottom-up":[72],"approach":[73],"capture":[75],"both":[76],"global":[77],"local":[79],"level":[80],"context.":[81],"top-down":[84],"approach,":[85],"Multi-scale":[91],"Supervision":[92],"(TGMS)":[93],"that":[94,139],"efficiently":[95],"integrates":[96],"supervises":[98],"multi-scale":[99],"contextual":[100],"information.":[101],"Furthermore,":[102],"present":[104],"simple":[106],"yet":[107],"powerful":[108],"Framework":[111],"(TGF)":[112],"imposes":[114],"global-level":[115],"semantics":[116],"results":[119],"directly":[120],"without":[121],"extra":[122],"ground":[123],"truth":[124],"labels":[125],"in":[126,146],"model":[127],"training.":[128],"Extensive":[129],"experiments":[130],"two":[132],"public":[133],"human":[134],"benchmarks":[136],"well":[137],"demonstrate":[138],"our":[140],"TGPNet":[141],"strong":[144],"ability":[145],"solving":[147],"problem":[151],"an":[154],"obtained":[155],"improvement":[156],"than":[157],"other":[158],"methods.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}