{"id":"https://openalex.org/W7124189397","doi":"https://doi.org/10.1109/icpads67057.2025.11323000","title":"Dual-Stream Transformer with Part-Aware Attention for 3D Human Pose Estimation","display_name":"Dual-Stream Transformer with Part-Aware Attention for 3D Human Pose Estimation","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7124189397","doi":"https://doi.org/10.1109/icpads67057.2025.11323000"},"language":null,"primary_location":{"id":"doi:10.1109/icpads67057.2025.11323000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","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/A5101926941","display_name":"Liyan Wang","orcid":"https://orcid.org/0000-0001-7258-1551"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyan Wang","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123026820","display_name":"Yang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["UAV Research Institute, Nanjing University of Aeronautics and Astronautics,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UAV Research Institute, Nanjing University of Aeronautics and Astronautics,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075689961","display_name":"Yuan Zhao","orcid":"https://orcid.org/0009-0000-3051-7316"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Zhao","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123020468","display_name":"Fukang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fukang Wang","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":1.4136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87409955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9742000102996826,"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":0.9742000102996826,"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/T12290","display_name":"Human Motion and Animation","score":0.010499999858438969,"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"}},{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5655999779701233},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5629000067710876},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4401000142097473},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.41339999437332153},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4049000144004822},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.39340001344680786},{"id":"https://openalex.org/keywords/human-body-model","display_name":"Human-body model","score":0.362199991941452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715499997138977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6067000031471252},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5655999779701233},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5629000067710876},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4652000069618225},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4401000142097473},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4049000144004822},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.39340001344680786},{"id":"https://openalex.org/C2781089380","wikidata":"https://www.wikidata.org/wiki/Q5936753","display_name":"Human-body model","level":2,"score":0.362199991941452},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.3431999981403351},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.3253999948501587},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.2939000129699707},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.2615000009536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpads67057.2025.11323000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4791093690","display_name":null,"funder_award_id":"2022ZD0115403","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"}],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2101032778","https://openalex.org/W2133832403","https://openalex.org/W2797184202","https://openalex.org/W2962896489","https://openalex.org/W2964221239","https://openalex.org/W2966735886","https://openalex.org/W3106838237","https://openalex.org/W3126541466","https://openalex.org/W3127588730","https://openalex.org/W3135052345","https://openalex.org/W3136525061","https://openalex.org/W3137592945","https://openalex.org/W3205327953","https://openalex.org/W4225140424","https://openalex.org/W4225557002","https://openalex.org/W4283021119","https://openalex.org/W4312275869","https://openalex.org/W4312417903","https://openalex.org/W4312982586","https://openalex.org/W4313068951","https://openalex.org/W4381946531","https://openalex.org/W4386076485","https://openalex.org/W4386083126","https://openalex.org/W4389665533","https://openalex.org/W4410782541","https://openalex.org/W4415796553"],"related_works":[],"abstract_inverted_index":{"Transformer-based":[0],"methods":[1],"for":[2],"monocular":[3],"3D":[4],"human":[5,62],"pose":[6],"estimation":[7],"(3DHPE)":[8],"excel":[9],"at":[10],"modeling":[11,94,116],"temporal":[12,21,87],"dependencies.":[13],"However,":[14],"existing":[15],"approaches":[16],"typically":[17],"employ":[18],"a":[19,76,84,98,110],"single":[20],"attention":[22,88],"model":[23,82,138],"that":[24],"treats":[25],"all":[26],"body":[27,45,120],"joints":[28],"as":[29,48],"an":[30,132],"inseparable":[31],"whole.":[32],"This":[33,90],"homogeneous":[34],"treatment":[35],"fails":[36],"to":[37,139],"capture":[38],"the":[39,49,52,58,70,102,106,137,148,154,161],"distinct":[40],"motion":[41,93],"characteristics":[42],"of":[43,61,105,166],"different":[44],"parts,":[46],"such":[47],"trunk":[50],"versus":[51],"limbs,":[53],"and":[54,143,156,163],"is":[55],"inconsistent":[56],"with":[57],"heterogeneous":[59],"nature":[60],"movement.":[63],"To":[64],"address":[65],"this":[66],"limitation,":[67],"we":[68],"propose":[69],"Part-Aware":[71],"Spatio-Temporal":[72],"Transformer":[73,79],"(PAST-Former).":[74],"Within":[75],"standard":[77],"spatio-temporal":[78],"framework,":[80],"our":[81,167],"introduces":[83],"parallel":[85],"dualstream":[86],"module.":[89],"module":[91],"decouples":[92],"into":[95],"two":[96,126],"paths:":[97],"global":[99,142],"path":[100,112],"captures":[101],"smooth":[103],"trajectory":[104],"entire":[107],"body,":[108],"while":[109],"local":[111,144],"performs":[113],"differential":[114],"dynamic":[115],"on":[117,147,153],"semantically":[118],"divided":[119],"parts.":[121],"The":[122],"features":[123],"from":[124],"these":[125],"streams":[127],"are":[128],"dynamically":[129],"fused":[130],"via":[131],"adaptive":[133],"gating":[134],"mechanism,":[135],"allowing":[136],"flexibly":[140],"balance":[141],"information":[145],"based":[146],"action":[149],"context.":[150],"Extensive":[151],"experiments":[152],"Human3.6M":[155],"MPI-INF-3DHP":[157],"benchmark":[158],"datasets":[159],"validate":[160],"effectiveness":[162],"state-of-the-art":[164],"performance":[165],"proposed":[168],"method.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-15T00:00:00"}
