{"id":"https://openalex.org/W4415708238","doi":"https://doi.org/10.1109/icme59968.2025.11209325","title":"Spatio-Temporal Point Convolutional Network With Meta-motion Level Refinement for Point Cloud-Based Human Action Recognition","display_name":"Spatio-Temporal Point Convolutional Network With Meta-motion Level Refinement for Point Cloud-Based Human Action Recognition","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708238","doi":"https://doi.org/10.1109/icme59968.2025.11209325"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209325","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/A5034769186","display_name":"Qian Huang","orcid":"https://orcid.org/0000-0003-0141-7919"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Huang","raw_affiliation_strings":["Hohai University,College of Computer Science and Software Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Hohai University,College of Computer Science and Software Engineering,Nanjing,China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101729650","display_name":"Zhaoyu Chen","orcid":"https://orcid.org/0000-0003-3388-4212"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyu Chen","raw_affiliation_strings":["Hohai University,College of Computer Science and Software Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Hohai University,College of Computer Science and Software Engineering,Nanjing,China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110370697","display_name":"Ge Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Gao","raw_affiliation_strings":["Nanjing Forestry University,College of Information Science and Technology &amp; Artificial Intelligence,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Forestry University,College of Information Science and Technology &amp; Artificial Intelligence,Nanjing,China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102552519","display_name":"Shihao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihao Han","raw_affiliation_strings":["Hohai University,College of Computer Science and Software Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Hohai University,College of Computer Science and Software Engineering,Nanjing,China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111584550","display_name":"Qing Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Meng","raw_affiliation_strings":["Hohai University,College of Computer Science and Software Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Hohai University,College of Computer Science and Software Engineering,Nanjing,China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100358668","display_name":"Xing Li","orcid":"https://orcid.org/0000-0002-4736-8043"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Li","raw_affiliation_strings":["Hohai University,College of Computer Science and Software Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Hohai University,College of Computer Science and Software Engineering,Nanjing,China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034769186"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":1.2181,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84696479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"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":0.775600016117096,"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":0.775600016117096,"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":0.06849999725818634,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.05139999836683273,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7271999716758728},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6011000275611877},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5573999881744385},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.510200023651123},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.49160000681877136},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.4666999876499176},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.46630001068115234},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.462799996137619}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7271999716758728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6818000078201294},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6011000275611877},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5573999881744385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.531000018119812},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.510200023651123},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.49160000681877136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46720001101493835},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.4666999876499176},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.46630001068115234},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.462799996137619},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.373199999332428},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3700999915599823},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C174440990","wikidata":"https://www.wikidata.org/wiki/Q681349","display_name":"Point-to-point","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.271699994802475}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209325","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2144380653","https://openalex.org/W2296311849","https://openalex.org/W2963076818","https://openalex.org/W2963125977","https://openalex.org/W2963288541","https://openalex.org/W2964134613","https://openalex.org/W3000681136","https://openalex.org/W3034213511","https://openalex.org/W3034996364","https://openalex.org/W3035225512","https://openalex.org/W3039715404","https://openalex.org/W3161491200","https://openalex.org/W3168718178","https://openalex.org/W3182313768","https://openalex.org/W3195949276","https://openalex.org/W4281393069","https://openalex.org/W4285555510","https://openalex.org/W4288049158","https://openalex.org/W4307437114","https://openalex.org/W4312395475","https://openalex.org/W4318479880","https://openalex.org/W4319299787","https://openalex.org/W4385768200","https://openalex.org/W4388819754","https://openalex.org/W4390872019","https://openalex.org/W4390872498","https://openalex.org/W4402727296","https://openalex.org/W4413146767"],"related_works":[],"abstract_inverted_index":{"Point":[0,78],"cloud-based":[1],"human":[2],"action":[3],"recognition":[4],"leverages":[5],"advanced":[6],"spatio-temporal":[7,42,64,97,107,119,132],"local":[8],"encoding":[9],"strategies":[10],"to":[11,25,40,47,101,116,129],"model":[12,27],"the":[13,28,48,68,86,112,135,153],"motion":[14],"patterns,":[15],"and":[16,32,53,93,148],"has":[17],"achieved":[18],"remarkable":[19],"performance.":[20],"However,":[21],"existing":[22],"approaches":[23],"struggle":[24],"precisely":[26],"specific":[29],"spatial":[30,51],"scales":[31],"temporal":[33,54],"spans":[34],"of":[35,50,63,89,155],"various":[36],"body":[37,91],"parts":[38],"due":[39,46],"rigid":[41],"neighborhood":[43],"limitations.":[44],"Furthermore,":[45],"extraction":[49],"configurations":[52],"dynamics":[55],"from":[56],"isolated":[57],"components,":[58],"these":[59],"methods":[60],"cause":[61],"distortions":[62],"interactions.":[65],"To":[66],"solve":[67],"above":[69],"problems,":[70],"we":[71,83,110],"propose":[72],"a":[73,95,126],"Meta-motion":[74],"Level":[75],"Refined":[76],"Spatio-Temporal":[77],"Convolution":[79],"Network":[80],"(MRST-PCN).":[81],"Firstly,":[82],"progressively":[84],"decouple":[85],"dynamic":[87],"structures":[88],"different":[90],"parts,":[92],"present":[94],"logarithmic":[96],"point":[98],"convolution":[99],"strategy":[100,115],"capture":[102],"meta-motion":[103,113,136],"patterns":[104],"at":[105],"varying":[106],"granularities.":[108],"Secondly,":[109],"devise":[111],"differential":[114],"derive":[117],"short-term":[118],"displacements":[120],"in":[121],"frame":[122],"neighborhoods,":[123],"while":[124],"designing":[125],"gated":[127],"KANsformer":[128],"establish":[130],"long-term":[131],"dependencies":[133],"along":[134],"flow.":[137],"Finally,":[138],"extensive":[139],"experiments":[140],"on":[141],"three":[142],"public":[143],"datasets":[144],"(MSR":[145],"Action3D,":[146],"UTD-MHAD,":[147],"NTU":[149],"RGB+D":[150],"60)":[151],"substantiate":[152],"superiority":[154],"MRST-PCN":[156],"over":[157],"state-of-the-art":[158],"methods.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}
