{"id":"https://openalex.org/W3188225995","doi":"https://doi.org/10.1109/icme51207.2021.9428206","title":"Efficient Human Pose Estimation by Learning Deeply Aggregated Representations","display_name":"Efficient Human Pose Estimation by Learning Deeply Aggregated Representations","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3188225995","doi":"https://doi.org/10.1109/icme51207.2021.9428206","mag":"3188225995"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067579956","display_name":"Zhengxion Luo","orcid":null},"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/I4210142635","display_name":"PATH To Reading","ror":"https://ror.org/0482xmh13","country_code":"US","type":"other","lineage":["https://openalex.org/I4210142635"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhengxion Luo","raw_affiliation_strings":["Megvii Inc","Center for Research on Intelligent Perception and Computing (CRIPAC)","National Laboratory of Pattern Recognition (NLPR)","Institute of Automation, Chinese Academy of Sciences (CASIA)","University of Chinese Academy of Sciences (UCAS)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Megvii Inc","institution_ids":["https://openalex.org/I4401726805"]},{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC)","institution_ids":["https://openalex.org/I4210142635"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR)","institution_ids":[]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences (CASIA)","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences (UCAS)","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429179","display_name":"Zhicheng Wang","orcid":"https://orcid.org/0000-0003-1726-9631"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Zhicheng Wang","raw_affiliation_strings":["Megvii Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Megvii Inc","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038281038","display_name":"Yuanhao Cai","orcid":"https://orcid.org/0000-0002-8266-7102"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhao Cai","raw_affiliation_strings":["Megvii Inc","Tsinghua Shenzhen International Graduate School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Megvii Inc","institution_ids":["https://openalex.org/I4401726805"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005968946","display_name":"Guan-An Wang","orcid":null},"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/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanan Wang","raw_affiliation_strings":["Megvii Inc","Institute of Automation, Chinese Academy of Sciences (CASIA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Megvii Inc","institution_ids":["https://openalex.org/I4401726805"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences (CASIA)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602506","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0001-5224-8647"},"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/I4210142635","display_name":"PATH To Reading","ror":"https://ror.org/0482xmh13","country_code":"US","type":"other","lineage":["https://openalex.org/I4210142635"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC)","National Laboratory of Pattern Recognition (NLPR)","Institute of Automation, Chinese Academy of Sciences (CASIA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC)","institution_ids":["https://openalex.org/I4210142635"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR)","institution_ids":[]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences (CASIA)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101550628","display_name":"Yan Huang","orcid":"https://orcid.org/0000-0002-8239-7229"},"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/I4210142635","display_name":"PATH To Reading","ror":"https://ror.org/0482xmh13","country_code":"US","type":"other","lineage":["https://openalex.org/I4210142635"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yan Huang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC)","National Laboratory of Pattern Recognition (NLPR)","Institute of Automation, Chinese Academy of Sciences (CASIA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC)","institution_ids":["https://openalex.org/I4210142635"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR)","institution_ids":[]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences (CASIA)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060050139","display_name":"Erjin Zhou","orcid":"https://orcid.org/0000-0001-9234-0026"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":[],"is_corresponding":false,"raw_author_name":"ErJin Zhou","raw_affiliation_strings":["Megvii Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Megvii Inc","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103202227","display_name":"Tieniu Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142635","display_name":"PATH To Reading","ror":"https://ror.org/0482xmh13","country_code":"US","type":"other","lineage":["https://openalex.org/I4210142635"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tieniu Tan","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC)","National Laboratory of Pattern Recognition (NLPR)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC)","institution_ids":["https://openalex.org/I4210142635"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101425421","display_name":"Jian Sun","orcid":"https://orcid.org/0000-0001-6270-2698"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Sun","raw_affiliation_strings":["Megvii Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Megvii Inc","institution_ids":["https://openalex.org/I4401726805"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.7817565202713013},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.675204336643219},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5778923034667969},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5773136019706726},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5743441581726074},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5724191069602966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5562564730644226},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5326653718948364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40670573711395264},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3878759741783142},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.1268104910850525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11887744069099426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7817565202713013},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.675204336643219},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5778923034667969},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5773136019706726},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5743441581726074},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5724191069602966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5562564730644226},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5326653718948364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40670573711395264},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3878759741783142},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1268104910850525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11887744069099426},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2742737904","https://openalex.org/W2916798096","https://openalex.org/W2963402313","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2964062189","https://openalex.org/W2964116539","https://openalex.org/W2964221239","https://openalex.org/W3113950706","https://openalex.org/W4289047567","https://openalex.org/W6639102338","https://openalex.org/W6697925102","https://openalex.org/W6743731764","https://openalex.org/W6756317988","https://openalex.org/W6757733370","https://openalex.org/W6760224987"],"related_works":["https://openalex.org/W4382323155","https://openalex.org/W4315697128","https://openalex.org/W3205506801","https://openalex.org/W2971502891","https://openalex.org/W4287067436","https://openalex.org/W4280599700","https://openalex.org/W3183570023","https://openalex.org/W3150439626","https://openalex.org/W2060887160","https://openalex.org/W2368367751"],"abstract_inverted_index":{"In":[0],"this":[1,75],"paper,":[2],"we":[3,57,83],"propose":[4,84],"an":[5,85],"efficient":[6],"human":[7],"pose":[8],"estimation":[9],"network":[10],"(DANet)":[11],"by":[12,77,107],"learning":[13],"deeply":[14],"aggregated":[15],"representations.":[16],"Most":[17],"existing":[18],"models":[19],"explore":[20],"multi-scale":[21,31,61,99,120],"infonnation":[22,76,100,121],"mainly":[23],"from":[24,63,101],"features":[25],"with":[26,65,143,159],"different":[27,66,102],"spatial":[28],"sizes.":[29],"Powerful":[30],"representations":[32],"usually":[33],"rely":[34],"on":[35,59,156,165],"the":[36,44,48,79,124,128],"cascaded":[37],"pyramid":[38],"framework.":[39],"This":[40],"framework":[41],"largely":[42],"boosts":[43],"performance":[45],"but":[46],"in":[47,153],"meanwhile":[49],"makes":[50],"networks":[51,135],"very":[52],"deep":[53],"and":[54,69,90,104,117,122,132],"complex.":[55],"Instead,":[56],"focus":[58],"exploiting":[60],"information":[62],"layers":[64,103],"receptive-field":[67],"sizes":[68],"then":[70],"making":[71],"full":[72],"of":[73,130],"use":[74],"improving":[78],"fusion":[80,93],"method.":[81],"Specifically,":[82,148],"orthogonal":[86],"attention":[87],"block":[88],"(OAB)":[89],"a":[91,166],"second-order":[92],"unit":[94],"(SFU).":[95],"The":[96,113],"OAB":[97,131],"learns":[98],"enhances":[105],"them":[106,109],"encouraging":[108],"to":[110],"be":[111],"diverse.":[112],"SFU":[114],"adaptively":[115],"selects":[116],"fuses":[118],"diverse":[119],"suppress":[123],"redundant":[125],"ones.":[126],"With":[127],"help":[129],"SFU,":[133],"our":[134,149],"could":[136],"achieve":[137],"comparable":[138],"or":[139],"even":[140],"better":[141],"accuracy":[142],"much":[144],"smaller":[145],"model":[146],"complexity.":[147],"DANet-72":[150],"achieves":[151,169],"71.0":[152],"AP":[154],"score":[155],"COCO":[157],"val2017":[158],"only":[160],"1.0G":[161],"FLOPS.":[162],"Its":[163],"speed":[164],"CPU":[167],"platfonn":[168],"58":[170],"Persons-Per-Second":[171],"(PPS).":[172]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}