{"id":"https://openalex.org/W4416249396","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227189","title":"3D Joint-Aware Features in GRU-based Kinematic Chain for Human Mesh Recovery","display_name":"3D Joint-Aware Features in GRU-based Kinematic Chain for Human Mesh Recovery","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416249396","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227189"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5073747687","display_name":"Jingchen Zhang","orcid":"https://orcid.org/0000-0003-2011-1894"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingchen Zhang","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105788805","display_name":"Yang Hua","orcid":"https://orcid.org/0000-0003-1485-4632"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Hua","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115604933","display_name":"Wenjie Zhang","orcid":"https://orcid.org/0000-0002-0569-9936"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Zhang","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018880478","display_name":"Xiaoning Song","orcid":"https://orcid.org/0000-0002-3967-4497"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoning Song","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073747687"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37171247,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.7497000098228455,"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":0.7497000098228455,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.08980000019073486,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12290","display_name":"Human Motion and Animation","score":0.057999998331069946,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.8644000291824341},{"id":"https://openalex.org/keywords/kinematic-chain","display_name":"Kinematic chain","score":0.7013000249862671},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6290000081062317},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4162999987602234},{"id":"https://openalex.org/keywords/chain","display_name":"Chain (unit)","score":0.3905999958515167},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.36980000138282776}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.8644000291824341},{"id":"https://openalex.org/C62837456","wikidata":"https://www.wikidata.org/wiki/Q678308","display_name":"Kinematic chain","level":3,"score":0.7013000249862671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6933000087738037},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6290000081062317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5069000124931335},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41839998960494995},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.3905999958515167},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.36980000138282776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32179999351501465},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27950000762939453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":50,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2080873731","https://openalex.org/W2101032778","https://openalex.org/W2483862638","https://openalex.org/W2522527348","https://openalex.org/W2573098616","https://openalex.org/W2573854917","https://openalex.org/W2797184202","https://openalex.org/W2797515701","https://openalex.org/W2798411580","https://openalex.org/W2798637590","https://openalex.org/W2895748257","https://openalex.org/W2963873475","https://openalex.org/W2963876278","https://openalex.org/W2963995996","https://openalex.org/W2978956737","https://openalex.org/W2981637078","https://openalex.org/W2981978060","https://openalex.org/W2990270790","https://openalex.org/W2998621957","https://openalex.org/W3014641072","https://openalex.org/W3035501466","https://openalex.org/W3088900258","https://openalex.org/W3107167007","https://openalex.org/W3109877674","https://openalex.org/W3110095664","https://openalex.org/W3167491448","https://openalex.org/W3175199633","https://openalex.org/W3175408382","https://openalex.org/W3177864674","https://openalex.org/W3203030863","https://openalex.org/W3204956438","https://openalex.org/W4205116876","https://openalex.org/W4214619583","https://openalex.org/W4214684804","https://openalex.org/W4214770715","https://openalex.org/W4226160668","https://openalex.org/W4236667477","https://openalex.org/W4312311094","https://openalex.org/W4312518484","https://openalex.org/W4312595848","https://openalex.org/W4312874524","https://openalex.org/W4367622621","https://openalex.org/W4386071471","https://openalex.org/W4386071572","https://openalex.org/W4386083060","https://openalex.org/W4386114518","https://openalex.org/W4390873180","https://openalex.org/W4390873286","https://openalex.org/W4390874736"],"related_works":[],"abstract_inverted_index":{"Model-based":[0],"methods,":[1],"which":[2],"define":[3],"pose":[4,137,158],"parameters":[5,31,159],"as":[6],"3D":[7,23,77,108],"rotations":[8],"of":[9,42,63,114,151,160],"24":[10,136],"joints":[11,153],"relative":[12,165],"to":[13,52,87,99,118,131,154],"their":[14],"parent":[15,152],"joints,":[16,162],"have":[17],"proven":[18],"highly":[19],"effective":[20],"in":[21],"recovering":[22],"human":[24,183],"meshes.":[25],"Existing":[26],"methods":[27,44],"typically":[28],"estimate":[29],"these":[30,43,68],"by":[32,48,60],"coupling":[33],"features":[34,79,104,150],"extracted":[35],"from":[36],"2D":[37],"images.":[38],"However,":[39],"the":[40,135,142,149,157,191],"performance":[41],"is":[45,129],"always":[46],"limited":[47],"spatial":[49,112],"ambiguities":[50,58],"due":[51],"dimensional":[53],"inconsistencies":[54],"and":[55,116,133,147],"kinematic":[56,83,143],"chain":[57,84,125],"caused":[59],"direct":[61],"regression":[62],"all":[64],"parameters.":[65,138],"To":[66],"overcome":[67],"limitations,":[69],"we":[70,93],"present":[71],"a":[72,81,96,122],"novel":[73],"method":[74,174],"that":[75,172],"uses":[76,148],"joint-aware":[78,109],"within":[80],"GRU-based":[82],"(AFGK)":[85],"framework":[86],"obtain":[88],"spatially":[89],"accurate":[90],"features.":[91],"Specifically,":[92],"first":[94],"use":[95],"self-attention":[97],"mechanism":[98],"enable":[100],"mutual":[101],"interactions":[102],"between":[103,145],"around":[105],"keypoints,":[106,115],"generating":[107],"features,":[110],"improving":[111,182],"accuracy":[113],"robustness":[117],"extreme":[119],"poses.":[120],"Then,":[121],"GRU-structured":[123],"Kinematic":[124],"update":[126,134,156],"module":[127,140],"(GRK)":[128],"introduced":[130],"decouple":[132],"This":[139],"captures":[141],"relationships":[144],"keypoints":[146],"dynamically":[155],"child":[161],"further":[163],"reducing":[164],"rotation":[166],"errors.":[167],"Extensive":[168],"experimental":[169],"results":[170],"show":[171],"our":[173],"outperforms":[175],"state-of-the-art":[176],"competitors":[177],"on":[178,190],"standard":[179],"benchmarks,":[180],"significantly":[181],"reconstruction.":[184],"The":[185],"codes":[186],"will":[187],"be":[188],"available":[189],"project":[192],"homepage:":[193],"https://github.com/jingchenzhang/AFGK.":[194]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}