{"id":"https://openalex.org/W3010350980","doi":"https://doi.org/10.1109/wacv45572.2020.9093526","title":"DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image","display_name":"DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3010350980","doi":"https://doi.org/10.1109/wacv45572.2020.9093526","mag":"3010350980"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","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/A5002531329","display_name":"Fuyang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuyang Huang","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075207922","display_name":"Ailing Zeng","orcid":"https://orcid.org/0000-0002-3783-0679"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ailing Zeng","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102803711","display_name":"Minhao Liu","orcid":"https://orcid.org/0000-0003-4120-2269"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minhao Liu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059830795","display_name":"Qiuxia Lai","orcid":"https://orcid.org/0000-0001-6872-5540"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuxia Lai","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088556682","display_name":"Qiang Xu","orcid":"https://orcid.org/0000-0001-6747-126X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Xu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002531329"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":4.3181,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.95505264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"418","last_page":"427"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9904999732971191,"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/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.8855318427085876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7748304605484009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7247892618179321},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6907179951667786},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6792318820953369},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6356064081192017},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6055111289024353},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5879772901535034},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.4248437285423279},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4136124849319458},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09770986437797546},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08289924263954163}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.8855318427085876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7748304605484009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7247892618179321},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6907179951667786},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6792318820953369},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6356064081192017},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6055111289024353},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5879772901535034},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.4248437285423279},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4136124849319458},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09770986437797546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08289924263954163},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1936750108","https://openalex.org/W1964130324","https://openalex.org/W1967554269","https://openalex.org/W2039262381","https://openalex.org/W2101032778","https://openalex.org/W2110331760","https://openalex.org/W2112324691","https://openalex.org/W2115615338","https://openalex.org/W2129371582","https://openalex.org/W2131389448","https://openalex.org/W2136391815","https://openalex.org/W2143478373","https://openalex.org/W2155394491","https://openalex.org/W2293220651","https://openalex.org/W2307770531","https://openalex.org/W2333544554","https://openalex.org/W2382036597","https://openalex.org/W2518965973","https://openalex.org/W2554247908","https://openalex.org/W2578797046","https://openalex.org/W2583372902","https://openalex.org/W2605243700","https://openalex.org/W2611932403","https://openalex.org/W2612706635","https://openalex.org/W2742737904","https://openalex.org/W2754534665","https://openalex.org/W2758778552","https://openalex.org/W2761119615","https://openalex.org/W2783074568","https://openalex.org/W2784646928","https://openalex.org/W2784710428","https://openalex.org/W2788865504","https://openalex.org/W2798391097","https://openalex.org/W2806998878","https://openalex.org/W2810607340","https://openalex.org/W2886552305","https://openalex.org/W2889665152","https://openalex.org/W2892890343","https://openalex.org/W2895748257","https://openalex.org/W2963013806","https://openalex.org/W2963150697","https://openalex.org/W2963197583","https://openalex.org/W2963383668","https://openalex.org/W2963441822","https://openalex.org/W2963474899","https://openalex.org/W2963598138","https://openalex.org/W2963772981","https://openalex.org/W2964016027","https://openalex.org/W2964105113","https://openalex.org/W2964179555","https://openalex.org/W2964304707","https://openalex.org/W2969450957","https://openalex.org/W2971476609","https://openalex.org/W2973127894","https://openalex.org/W3139397654","https://openalex.org/W4297960899","https://openalex.org/W6680285999","https://openalex.org/W6682891246","https://openalex.org/W6692078629","https://openalex.org/W6696920397","https://openalex.org/W6697925102","https://openalex.org/W6726294871","https://openalex.org/W6735463952","https://openalex.org/W6744541670","https://openalex.org/W6745881451","https://openalex.org/W6747911595","https://openalex.org/W6750335517","https://openalex.org/W6751705338","https://openalex.org/W6754758174"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W3089306886","https://openalex.org/W2113785214","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4387967917","https://openalex.org/W4312694060","https://openalex.org/W4386075737","https://openalex.org/W4382141741","https://openalex.org/W2951583186"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,94,123],"propose":[4],"a":[5,88,92,97,119,128],"two-stage":[6],"fully":[7,129],"3D":[8,17,57,130,133],"network,":[9],"namely":[10],"DeepFuse,":[11],"to":[12,75],"estimate":[13],"human":[14],"pose":[15,134],"in":[16],"space":[18],"by":[19,118],"fusing":[20],"body-worn":[21],"Inertial":[22],"Measurement":[23],"Unit":[24],"(IMU)":[25],"data":[26,42,54,81,84],"and":[27,56,79,106],"multi-view":[28,45],"images":[29],"deeply.":[30],"The":[31,62],"first":[32],"stage":[33,49,69],"is":[34,65],"designed":[35],"for":[36,132],"pure":[37],"vision":[38,48,80],"estimation.":[39],"To":[40],"preserve":[41],"primitiveness":[43],"of":[44,101,127],"inputs,":[46],"the":[47,66,77,115,125],"uses":[50],"multi-channel":[51],"volume":[52],"as":[53,59],"representation":[55],"soft-argmax":[58],"activation":[60],"layer.":[61],"second":[63],"one":[64],"IMU":[67,78],"refinement":[68],"which":[70,137],"introduces":[71],"an":[72],"IMU-bone":[73],"layer":[74],"fuse":[76],"earlier":[82],"at":[83],"level.":[85],"without":[86],"requiring":[87],"given":[89],"skeleton":[90],"model":[91],"priori,":[93],"can":[95],"achieve":[96],"mean":[98],"joint":[99],"error":[100],"28.9mm":[102],"on":[103,108],"TotalCapture":[104],"dataset":[105,110],"13.4mm":[107],"Human3.6M":[109],"under":[111],"protocol":[112],"1,":[113],"improving":[114],"SOTA":[116],"result":[117],"large":[120],"margin.":[121],"Finally,":[122],"discuss":[124],"effectiveness":[126],"network":[131],"estimation":[135],"experimentally":[136],"may":[138],"benefit":[139],"future":[140],"research.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}