{"id":"https://openalex.org/W4415708008","doi":"https://doi.org/10.1109/icme59968.2025.11208983","title":"A Multi-Branch Network for Pose Trajectory Smoothing and Refinement","display_name":"A Multi-Branch Network for Pose Trajectory Smoothing and Refinement","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708008","doi":"https://doi.org/10.1109/icme59968.2025.11208983"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11208983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11208983","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 (ICME)","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/A5109232642","display_name":"P. Chen","orcid":"https://orcid.org/0009-0007-2350-0015"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Panpan Chen","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation and Artificial Intelligence,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation and Artificial Intelligence,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829722","display_name":"Ying Jiang","orcid":"https://orcid.org/0000-0002-7026-0073"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]},{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN","TW"],"is_corresponding":false,"raw_author_name":"Ying Jiang","raw_affiliation_strings":["The Third Affiliated Hospital of Soochow University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"The Third Affiliated Hospital of Soochow University,Nanjing,China","institution_ids":["https://openalex.org/I3923682","https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064642948","display_name":"Haidong Hu","orcid":"https://orcid.org/0000-0003-0193-0333"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]},{"id":"https://openalex.org/I4210088225","display_name":"China National Space Administration","ror":"https://ror.org/004vanv95","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210088225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haidong Hu","raw_affiliation_strings":["China Academy of Space Technology,National Key Laboratory of Space Intelligent Control,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"China Academy of Space Technology,National Key Laboratory of Space Intelligent Control,Nanjing,China","institution_ids":["https://openalex.org/I194716290","https://openalex.org/I4210088225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101834103","display_name":"Chuangye Wang","orcid":"https://orcid.org/0000-0002-3397-6128"},"institutions":[{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chuangye Wang","raw_affiliation_strings":["Stage Grid Bengbu Power Supply Company,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Stage Grid Bengbu Power Supply Company,Nanjing,China","institution_ids":["https://openalex.org/I867306930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102905655","display_name":"Haolun Li","orcid":"https://orcid.org/0000-0003-3829-2849"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haolun Li","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation and Artificial Intelligence,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation and Artificial Intelligence,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740193","display_name":"Hao Gao","orcid":"https://orcid.org/0000-0003-0148-3713"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Gao","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation and Artificial Intelligence,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation and Artificial Intelligence,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109232642"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30953372,"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":0.9508000016212463,"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":0.9508000016212463,"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":0.025699999183416367,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.005200000014156103,"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/trajectory","display_name":"Trajectory","score":0.7468000054359436},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6607000231742859},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6335999965667725},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.61080002784729},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5619000196456909},{"id":"https://openalex.org/keywords/jitter","display_name":"Jitter","score":0.5034999847412109},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4648999869823456},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.45809999108314514}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7468000054359436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7358999848365784},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6607000231742859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.652899980545044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6403999924659729},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6335999965667725},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.61080002784729},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5619000196456909},{"id":"https://openalex.org/C134652429","wikidata":"https://www.wikidata.org/wiki/Q1052698","display_name":"Jitter","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4648999869823456},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.45809999108314514},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4528999924659729},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4138999879360199},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.39800000190734863},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.38999998569488525},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28859999775886536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11208983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11208983","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 (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W2027222744","https://openalex.org/W2101032778","https://openalex.org/W2155919893","https://openalex.org/W2307770531","https://openalex.org/W2341283081","https://openalex.org/W2612706635","https://openalex.org/W2895748257","https://openalex.org/W2962896489","https://openalex.org/W2981637078","https://openalex.org/W3035551320","https://openalex.org/W3136525061","https://openalex.org/W3193694068","https://openalex.org/W3204221554","https://openalex.org/W3209310918","https://openalex.org/W4205116876","https://openalex.org/W4214770715","https://openalex.org/W4285217427","https://openalex.org/W4306920876","https://openalex.org/W4307816037","https://openalex.org/W4313130756","https://openalex.org/W4382458974","https://openalex.org/W4384304163","https://openalex.org/W4386076469","https://openalex.org/W4386076655","https://openalex.org/W4390991965","https://openalex.org/W4402704506","https://openalex.org/W4402978614","https://openalex.org/W4403792044","https://openalex.org/W4406110380","https://openalex.org/W4406259987","https://openalex.org/W4406261673","https://openalex.org/W4406612503","https://openalex.org/W4408353269","https://openalex.org/W4408354263","https://openalex.org/W4409261976"],"related_works":[],"abstract_inverted_index":{"Although":[0],"human":[1,68,102],"pose":[2,46,154],"estimation":[3],"in":[4,16],"video":[5],"has":[6],"achieved":[7],"significant":[8],"advancements,":[9],"challenges":[10,24],"such":[11],"as":[12],"occlusions":[13],"often":[14],"result":[15],"pronounced":[17],"jitters":[18],"and":[19,45,64,89,97,134,152],"substantial":[20],"errors.":[21],"Addressing":[22],"these":[23,50],"is":[25],"critical":[26],"for":[27,43],"the":[28,81,95,118,135],"further":[29],"development":[30],"of":[31,67,101,131],"this":[32,35],"field.":[33],"In":[34],"study,":[36],"we":[37],"propose":[38],"a":[39,121],"multi-branch":[40],"network":[41,53,119],"designed":[42],"trajectory":[44],"refinement":[47],"to":[48,93,111,125],"mitigate":[49],"issues.":[51],"The":[52,105],"comprises":[54],"four":[55],"branches,":[56],"with":[57],"three":[58,83,146],"branches":[59,84],"focus":[60],"on":[61,75],"capturing":[62],"structural":[63,96],"motion":[65,90,99],"features":[66,110],"skeletal":[69,103],"sequences,":[70],"while":[71],"one":[72],"branch":[73,107],"focuses":[74],"analyzing":[76],"frequency":[77,106,109],"features.":[78],"More":[79],"specifically,":[80],"first":[82],"model":[85],"joint,":[86],"bone":[87],"vector,":[88],"data":[91],"respectively":[92],"capture":[94,126],"dynamic":[98],"characteristics":[100],"sequences.":[104],"extracts":[108],"distinguish":[112],"jitter":[113],"from":[114],"normal":[115],"motion.":[116],"Furthermore,":[117],"incorporates":[120],"spatio-temporal":[122],"residual":[123],"block":[124],"both":[127],"long-range":[128],"temporal":[129],"dependencies":[130],"individual":[132],"joints":[133],"spatial":[136],"interrelationships":[137],"among":[138],"joints.":[139],"Our":[140],"method":[141],"demonstrates":[142],"competitive":[143],"performance":[144],"across":[145],"challenging":[147],"datasets":[148],"involving":[149],"2D,":[150],"3D,":[151],"SMPL":[153],"representations.":[155]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}
