{"id":"https://openalex.org/W4414140599","doi":"https://doi.org/10.1109/icmew68306.2025.11152143","title":"Decoupled Depth-guided Coordinate-aware Network for 3D Human Pose and Shape Estimation","display_name":"Decoupled Depth-guided Coordinate-aware Network for 3D Human Pose and Shape Estimation","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4414140599","doi":"https://doi.org/10.1109/icmew68306.2025.11152143"},"language":"en","primary_location":{"id":"doi:10.1109/icmew68306.2025.11152143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew68306.2025.11152143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","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/A5111091473","display_name":"Mingyu Mao","orcid":"https://orcid.org/0009-0005-9834-4411"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Mao","raw_affiliation_strings":["Beijing University of Posts & Telecommunications,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts & Telecommunications,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035881553","display_name":"Shuxian Li","orcid":"https://orcid.org/0000-0002-2150-7404"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuxian Li","raw_affiliation_strings":["Lenovo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lenovo,China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040096430","display_name":"Yuhao Cheng","orcid":"https://orcid.org/0000-0002-3174-8973"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Cheng","raw_affiliation_strings":["Lenovo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lenovo,China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336450","display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-4925-0572"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Lenovo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lenovo,China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090254049","display_name":"Dandan Sun","orcid":"https://orcid.org/0000-0001-5314-6677"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Sun","raw_affiliation_strings":["Beijing University of Posts & Telecommunications,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts & Telecommunications,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088333603","display_name":"Hongda Li","orcid":"https://orcid.org/0000-0002-6854-8369"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongda Li","raw_affiliation_strings":["Beijing University of Posts & Telecommunications,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts & Telecommunications,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104020849","display_name":"Xinyue Fan","orcid":"https://orcid.org/0009-0009-8983-4688"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyue Fan","raw_affiliation_strings":["Beijing University of Posts & Telecommunications,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts & Telecommunications,China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24622392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9940999746322632,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9919999837875366,"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/ambiguity","display_name":"Ambiguity","score":0.7125999927520752},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6549000144004822},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6539000272750854},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.6148999929428101},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5375999808311462},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.4957999885082245},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48489999771118164}],"concepts":[{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.7125999927520752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866999864578247},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6549000144004822},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6539000272750854},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.6148999929428101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5555999875068665},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5375999808311462},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5045999884605408},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.4957999885082245},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48489999771118164},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4724999964237213},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4083999991416931},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37130001187324524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.25870001316070557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew68306.2025.11152143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew68306.2025.11152143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1943191679","https://openalex.org/W1967554269","https://openalex.org/W1989191365","https://openalex.org/W2101032778","https://openalex.org/W2483862638","https://openalex.org/W2554247908","https://openalex.org/W2573098616","https://openalex.org/W2756050327","https://openalex.org/W2797184202","https://openalex.org/W2895748257","https://openalex.org/W2963995996","https://openalex.org/W2998273692","https://openalex.org/W3009246422","https://openalex.org/W3010350980","https://openalex.org/W3011157197","https://openalex.org/W3035068106","https://openalex.org/W3094830752","https://openalex.org/W3104343368","https://openalex.org/W3110095664","https://openalex.org/W3158830199","https://openalex.org/W3167491448","https://openalex.org/W4226261765","https://openalex.org/W4288079574","https://openalex.org/W4301581299","https://openalex.org/W4312446817","https://openalex.org/W4313127332","https://openalex.org/W4327486298","https://openalex.org/W4353114752","https://openalex.org/W4386071471","https://openalex.org/W4386083126","https://openalex.org/W4389633726","https://openalex.org/W4390190334","https://openalex.org/W4400188660"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"3D":[0,71],"human":[1],"pose":[2,65],"and":[3,67,105,131],"shape":[4],"estimation":[5],"is":[6,96],"a":[7,26,34,42,75],"fundamental":[8],"task":[9],"in":[10],"human-centric":[11],"computer":[12],"vision.":[13],"However,":[14],"current":[15],"end-to-end":[16],"approaches":[17],"face":[18],"significant":[19],"challenges,":[20],"among":[21],"which":[22,60],"depth":[23,50,81,122],"ambiguity":[24,123],"remains":[25],"critical":[27],"issue.":[28],"To":[29],"address":[30],"this,":[31],"we":[32,53],"propose":[33],"Decoupled":[35],"Depth-guided":[36],"Coordinate-aware":[37],"Network.":[38],"Our":[39],"approach":[40],"designs":[41],"novel":[43],"average":[44],"camera-depth":[45],"estimator":[46],"to":[47,98],"capture":[48],"explicit":[49,84],"information.":[51],"Furthermore,":[52],"introduce":[54],"an":[55],"innovative":[56],"coordinate-aware":[57],"attention":[58],"module,":[59],"can":[61],"encode":[62],"the":[63,80,88,101,107,115],"coupled":[64],"feature":[66],"decouple":[68],"it":[69],"into":[70],"coordinate":[72,90,103],"features.":[73,91],"Such":[74],"decoupling":[76],"operation":[77],"ensures":[78],"that":[79,114],"information":[82],"provides":[83],"guidance":[85],"only":[86,119],"for":[87],"necessary":[89],"A":[92],"multidimensional":[93],"parallel":[94],"regressor":[95],"proposed":[97,116],"further":[99],"facilitate":[100],"decoupled":[102],"features":[104],"improve":[106],"performance":[108,128],"of":[109],"estimation.":[110],"Experimental":[111],"results":[112],"demonstrate":[113],"method":[117],"not":[118],"effectively":[120],"avoids":[121],"but":[124],"also":[125],"achieves":[126],"state-of-the-art":[127],"on":[129],"Human3.6M":[130],"3DPW":[132],"datasets.":[133]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}