{"id":"https://openalex.org/W4389887656","doi":"https://doi.org/10.1109/tcsvt.2023.3344049","title":"EFCPose: End-to-End Multi-Person Pose Estimation With Fully Convolutional Heads","display_name":"EFCPose: End-to-End Multi-Person Pose Estimation With Fully Convolutional Heads","publication_year":2023,"publication_date":"2023-12-18","ids":{"openalex":"https://openalex.org/W4389887656","doi":"https://doi.org/10.1109/tcsvt.2023.3344049"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3344049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3344049","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-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/A5084635488","display_name":"Haixin Wang","orcid":"https://orcid.org/0009-0007-2455-4840"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixin Wang","raw_affiliation_strings":["Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-2455-4840","affiliations":[{"raw_affiliation_string":"Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072835739","display_name":"Lu Zhou","orcid":"https://orcid.org/0000-0002-8531-9138"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Zhou","raw_affiliation_strings":["Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8531-9138","affiliations":[{"raw_affiliation_string":"Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394751","display_name":"Yingying Chen","orcid":"https://orcid.org/0000-0002-5049-8092"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Chen","raw_affiliation_strings":["Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5049-8092","affiliations":[{"raw_affiliation_string":"Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005845073","display_name":"Zhiyang Chen","orcid":"https://orcid.org/0000-0002-0147-3489"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyang Chen","raw_affiliation_strings":["Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110938150","display_name":"Ming Tang","orcid":"https://orcid.org/0000-0003-4976-3095"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Tang","raw_affiliation_strings":["Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4976-3095","affiliations":[{"raw_affiliation_string":"Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058420913","display_name":"Jinqiao Wang","orcid":"https://orcid.org/0000-0002-9118-2780"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiao Wang","raw_affiliation_strings":["Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9118-2780","affiliations":[{"raw_affiliation_string":"Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2929,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51696383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"34","issue":"7","first_page":"6039","last_page":"6050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8200199604034424},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5635684132575989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5593374967575073},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5184735655784607},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.5043429136276245},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.4842257499694824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.411129355430603},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38073962926864624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3553088307380676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8200199604034424},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5635684132575989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5593374967575073},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5184735655784607},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5043429136276245},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.4842257499694824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.411129355430603},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38073962926864624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3553088307380676},{"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/tcsvt.2023.3344049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3344049","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1424013176","display_name":null,"funder_award_id":"61976210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2053087090","display_name":null,"funder_award_id":"62006230","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2899196128","display_name":null,"funder_award_id":"62276260","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3471104917","display_name":null,"funder_award_id":"62206283","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3851674897","display_name":null,"funder_award_id":"62076235","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1744759976","https://openalex.org/W1861492603","https://openalex.org/W2105101328","https://openalex.org/W2194775991","https://openalex.org/W2222512263","https://openalex.org/W2307770531","https://openalex.org/W2559085405","https://openalex.org/W2798429327","https://openalex.org/W2908510526","https://openalex.org/W2916798096","https://openalex.org/W2952819818","https://openalex.org/W2962773068","https://openalex.org/W2962820842","https://openalex.org/W2962954622","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963402313","https://openalex.org/W2963598138","https://openalex.org/W2963781481","https://openalex.org/W2964185410","https://openalex.org/W2964186374","https://openalex.org/W2964221239","https://openalex.org/W2982770724","https://openalex.org/W2993728126","https://openalex.org/W3012573144","https://openalex.org/W3034399482","https://openalex.org/W3035435924","https://openalex.org/W3092462694","https://openalex.org/W3096513139","https://openalex.org/W3096609285","https://openalex.org/W3109769043","https://openalex.org/W3126541466","https://openalex.org/W3138516171","https://openalex.org/W3166539425","https://openalex.org/W3171162369","https://openalex.org/W3172013121","https://openalex.org/W3172752666","https://openalex.org/W3173964191","https://openalex.org/W3176892444","https://openalex.org/W3211945233","https://openalex.org/W3215084804","https://openalex.org/W4213207977","https://openalex.org/W4221153186","https://openalex.org/W4229890965","https://openalex.org/W4229911490","https://openalex.org/W4283813470","https://openalex.org/W4285217427","https://openalex.org/W4312589140","https://openalex.org/W4312967365","https://openalex.org/W4313160152","https://openalex.org/W4319323473","https://openalex.org/W4385245566","https://openalex.org/W4386065649","https://openalex.org/W6730410022","https://openalex.org/W6757817989","https://openalex.org/W6760424586","https://openalex.org/W6784094891","https://openalex.org/W6796874202","https://openalex.org/W6849162881"],"related_works":["https://openalex.org/W3179968364","https://openalex.org/W1999612375","https://openalex.org/W4293226380","https://openalex.org/W2123263858","https://openalex.org/W2938107654","https://openalex.org/W3127959533","https://openalex.org/W2151749779","https://openalex.org/W3008587939","https://openalex.org/W4387967917","https://openalex.org/W4387968151"],"abstract_inverted_index":{"Mainstream":[0],"methods":[1,11,38,228],"of":[2,45,120,153,193],"multi-person":[3,61,110],"pose":[4,62,111],"estimation":[5,63,112],"are":[6],"not":[7],"end-to-end.":[8],"Recently,":[9],"some":[10],"build":[12],"an":[13,59,114,134],"end-to-end":[14,60,115,200],"framework":[15],"based":[16],"on":[17,213],"the":[18,24,47,90,98,109,129,146,151,157,190],"DETR":[19],"framework,":[20],"aiming":[21],"to":[22,107,138,144,175,188],"eliminate":[23],"need":[25],"for":[26],"hand-crafted":[27],"modules":[28],"like":[29],"heuristic":[30],"grouping":[31],"and":[32,101,184,207,216,226],"NMS":[33],"post-processing.":[34],"However,":[35],"these":[36],"DETR-based":[37,74,199],"suffer":[39],"from":[40,73],"a":[41,66,82,102,162],"heavy":[42,91],"memory":[43,92],"burden":[44],"processing":[46],"high-resolution":[48],"backbone":[49],"feature":[50],"maps":[51],"with":[52,65,85,197],"transformers.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57,132,160],"propose":[58,133,161],"method":[64,96],"fully":[67,122],"convolutional":[68,87,123],"network,":[69],"termed":[70],"EFCPose.":[71],"Different":[72],"methods,":[75,201],"it":[76],"directly":[77],"predicts":[78],"instance-aware":[79],"poses":[80],"in":[81,113],"pixel-wise":[83],"manner":[84],"lightweight":[86],"heads,":[88],"avoiding":[89],"burden.":[93],"Overall,":[94],"our":[95,121],"adopts":[97],"center-offset":[99,136],"formulation":[100],"one-to-one":[103],"label":[104],"assignment":[105],"strategy":[106,165],"achieve":[108],"manner.":[116],"The":[117],"main":[118],"contribution":[119],"heads":[124],"includes":[125],"two":[126],"aspects.":[127],"On":[128,156],"one":[130],"hand,":[131,159],"unaligned":[135],"representation":[137],"learn":[139],"more":[140],"reliable":[141],"semantic":[142],"centers":[143],"replace":[145],"inconsistent":[147],"geometric":[148],"centers,":[149],"improving":[150],"performance":[152],"instance":[154],"detection.":[155],"other":[158,223],"novel":[163],"regression":[164,191],"named":[166],"limb-aware":[167],"adaptive":[168,173],"regression,":[169],"which":[170],"leverages":[171],"separate":[172],"points":[174],"convert":[176],"challenging":[177],"long-range":[178],"offsets":[179,183],"into":[180],"simplified":[181],"short-range":[182],"incorporates":[185],"limb":[186],"constraints":[187],"elevate":[189],"quality":[192],"joint":[194],"offsets.":[195],"Compared":[196],"current":[198],"EFCPose":[202,221],"avoids":[203],"high":[204],"computational":[205],"complexity":[206],"achieves":[208],"higher":[209],"accuracy.":[210],"Extensive":[211],"experiments":[212],"COCO":[214],"Keypoint":[215],"CrowdPose":[217],"benchmarks":[218],"show":[219],"that":[220],"outperforms":[222],"state-of-the-art":[224],"bottom-up":[225],"single-stage":[227],"without":[229],"flipping":[230],"augmentation.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}