{"id":"https://openalex.org/W4393184662","doi":"https://doi.org/10.1109/tip.2024.3379931","title":"Toward Accurate Human Parsing Through Edge Guided Diffusion","display_name":"Toward Accurate Human Parsing Through Edge Guided Diffusion","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393184662","doi":"https://doi.org/10.1109/tip.2024.3379931","pmid":"https://pubmed.ncbi.nlm.nih.gov/38530730"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3379931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3379931","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5057382261","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0003-3458-6567"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Liu","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-3458-6567","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005624929","display_name":"Hongkun Zhu","orcid":"https://orcid.org/0009-0008-4437-6217"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongkun Zhu","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0008-4437-6217","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087043856","display_name":"Yunchao Wei","orcid":"https://orcid.org/0000-0002-2812-8781"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunchao Wei","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2812-8781","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006854141","display_name":"Shikui Wei","orcid":"https://orcid.org/0000-0003-3803-9763"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shikui Wei","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3803-9763","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-2977-8057","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6568,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90818064,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"2530","last_page":"2543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9988999962806702,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9988999962806702,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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":0.9976000189781189,"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/parsing","display_name":"Parsing","score":0.8627958297729492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8402459621429443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5773815512657166},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49516716599464417},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.46779781579971313},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.413334459066391},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37106987833976746},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08500194549560547}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8627958297729492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8402459621429443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5773815512657166},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49516716599464417},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.46779781579971313},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.413334459066391},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37106987833976746},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08500194549560547},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3379931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3379931","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:38530730","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38530730","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1915312266","display_name":null,"funder_award_id":"U23A20314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G298578780","display_name":null,"funder_award_id":"62376217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G351924141","display_name":null,"funder_award_id":"2022M712594","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7506703161","display_name":null,"funder_award_id":"D5000210770","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8101265378","display_name":null,"funder_award_id":"2021TQ0268","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8332994597","display_name":null,"funder_award_id":"62106201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W1567302070","https://openalex.org/W1903029394","https://openalex.org/W1973255633","https://openalex.org/W2010785631","https://openalex.org/W2074621908","https://openalex.org/W2104408738","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2204578866","https://openalex.org/W2294868795","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2561196672","https://openalex.org/W2619584063","https://openalex.org/W2737682710","https://openalex.org/W2795587607","https://openalex.org/W2883779225","https://openalex.org/W2884822772","https://openalex.org/W2886799640","https://openalex.org/W2895818027","https://openalex.org/W2933794321","https://openalex.org/W2955058313","https://openalex.org/W2955353723","https://openalex.org/W2962820340","https://openalex.org/W2962872526","https://openalex.org/W2962891704","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963225012","https://openalex.org/W2963578952","https://openalex.org/W2963978393","https://openalex.org/W2964072977","https://openalex.org/W2964252655","https://openalex.org/W2964309882","https://openalex.org/W2981959899","https://openalex.org/W2990032492","https://openalex.org/W2998428583","https://openalex.org/W3009224666","https://openalex.org/W3023488494","https://openalex.org/W3034230284","https://openalex.org/W3034509543","https://openalex.org/W3034521057","https://openalex.org/W3034760601","https://openalex.org/W3094918035","https://openalex.org/W3096538303","https://openalex.org/W3096653763","https://openalex.org/W3108326630","https://openalex.org/W3108657013","https://openalex.org/W3115879670","https://openalex.org/W3121709906","https://openalex.org/W3122412340","https://openalex.org/W3127595489","https://openalex.org/W3138516171","https://openalex.org/W3153051248","https://openalex.org/W3160550216","https://openalex.org/W3168227666","https://openalex.org/W3170019900","https://openalex.org/W3198494235","https://openalex.org/W4214893857","https://openalex.org/W4226030517","https://openalex.org/W4282969650","https://openalex.org/W4292964465","https://openalex.org/W4312376014","https://openalex.org/W4312689172","https://openalex.org/W4312815172","https://openalex.org/W4312880622","https://openalex.org/W4313023122","https://openalex.org/W4320015877","https://openalex.org/W4378697079","https://openalex.org/W4382459155","https://openalex.org/W4385801415","https://openalex.org/W4386076267","https://openalex.org/W4390873132","https://openalex.org/W4390874575","https://openalex.org/W6696085341","https://openalex.org/W6738301136","https://openalex.org/W6797399245","https://openalex.org/W6798837711","https://openalex.org/W6845611785","https://openalex.org/W6846905679"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2378211422","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554"],"abstract_inverted_index":{"Existing":[0],"human":[1,13,123,139,196,207],"parsing":[2,14,24,130,140,168,198,209],"frameworks":[3],"commonly":[4],"employ":[5],"joint":[6],"learning":[7],"of":[8,29,42,138,180],"semantic":[9,56,73,94],"edge":[10,48,74,95],"detection":[11,49],"and":[12,136,159,203,205,212],"to":[15,38,59,96,132,148],"facilitate":[16],"the":[17,23,27,30,39,68,72,92,106,129,134,157,166,178,181],"localization":[18],"around":[19],"boundary":[20],"regions.":[21,108],"Nevertheless,":[22],"prediction":[25],"within":[26],"interior":[28],"part":[31,69],"contour":[32,70],"may":[33],"still":[34],"exhibit":[35],"inconsistencies":[36],"due":[37],"inherent":[40,150],"ambiguity":[41],"fine-grained":[43,55],"semantics.":[44],"In":[45],"contrast,":[46],"binary":[47],"does":[50],"not":[51],"suffer":[52],"from":[53,91],"such":[54],"ambiguity,":[57],"leading":[58],"a":[60,84,145],"typical":[61],"failure":[62],"case":[63],"where":[64],"misclassification":[65],"occurs":[66],"inner":[67],"while":[71],"is":[75],"accurately":[76],"detected.":[77],"To":[78],"address":[79],"these":[80],"challenges,":[81],"we":[82,114,143],"develop":[83],"novel":[85],"diffusion":[86,112],"scheme":[87],"that":[88],"incorporates":[89],"guidance":[90],"detected":[93],"mitigate":[97],"this":[98,111],"problem":[99],"by":[100],"propagating":[101],"corrected":[102],"classified":[103],"semantics":[104],"into":[105],"misclassified":[107],"Building":[109],"upon":[110],"scheme,":[113],"present":[115],"an":[116],"Edge":[117],"Guided":[118],"Diffusion":[119],"Network":[120],"(EGDNet)":[121],"for":[122],"parsing,":[124],"which":[125,162],"can":[126],"progressively":[127],"refine":[128],"predictions":[131],"enhance":[133],"accuracy":[135],"coherence":[137],"results.":[141,169],"Moreover,":[142],"design":[144],"horizontal-vertical":[146],"aggregation":[147],"exploit":[149],"correlations":[151],"among":[152],"body":[153,197],"parts":[154],"along":[155],"both":[156],"horizontal":[158],"vertical":[160],"axes,":[161],"aims":[163],"at":[164],"enhancing":[165],"initial":[167],"Extensive":[170],"experimental":[171],"evaluations":[172],"on":[173,190],"various":[174],"challenging":[175],"datasets":[176,199,210],"demonstrate":[177],"effectiveness":[179],"proposed":[182],"EGDNet.":[183],"Remarkably,":[184],"our":[185],"EGDNet":[186],"shows":[187],"impressive":[188],"performances":[189],"six":[191],"benchmark":[192],"datasets,":[193],"including":[194],"four":[195],"(LIP,":[200],"CIHP,":[201],"ATR,":[202],"PASCAL-Person-Part),":[204],"two":[206],"face":[208],"(CelebAMask-HQ":[211],"LaPa).":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2024-03-27T00:00:00"}