{"id":"https://openalex.org/W3207613026","doi":"https://doi.org/10.1145/3474085.3475574","title":"Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition","display_name":"Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3207613026","doi":"https://doi.org/10.1145/3474085.3475574","mag":"3207613026"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475574","doi":"https://doi.org/10.1145/3474085.3475574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475574","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2108.04536","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084120097","display_name":"Tailin Chen","orcid":"https://orcid.org/0000-0002-2682-5997","observed_orcids":["https://orcid.org/0000-0002-2682-5997"]},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tailin Chen","raw_affiliation_strings":["Newcastle Univesity, Newcastle upon Tyne, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle Univesity, Newcastle upon Tyne, United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024956912","display_name":"Desen Zhou","orcid":"https://orcid.org/0000-0002-1559-6885","observed_orcids":["https://orcid.org/0000-0002-1559-6885"]},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Desen Zhou","raw_affiliation_strings":["Baidu, Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu, Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696824","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-4316-932X","observed_orcids":["https://orcid.org/0000-0002-4316-932X"]},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Baidu, Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu, Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101749560","display_name":"Shidong Wang","orcid":"https://orcid.org/0000-0003-1023-1286","observed_orcids":["https://orcid.org/0000-0003-1023-1286"]},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shidong Wang","raw_affiliation_strings":["Newcastle University, Newcastle upon Tyne, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University, Newcastle upon Tyne, United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081794070","display_name":"Yu Guan","orcid":"https://orcid.org/0000-0002-1283-3806","observed_orcids":["https://orcid.org/0000-0002-1283-3806"]},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu Guan","raw_affiliation_strings":["Newcastle University, Newcastle upon Tyne, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University, Newcastle upon Tyne, United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015970030","display_name":"Xuming He","orcid":"https://orcid.org/0000-0003-2150-1237","observed_orcids":["https://orcid.org/0000-0003-2150-1237","https://orcid.org/0000-0002-3442-4173"]},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuming He","raw_affiliation_strings":["ShanghaiTech University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050031109","display_name":"Errui Ding","orcid":"https://orcid.org/0000-0002-1867-5378","observed_orcids":["https://orcid.org/0000-0002-1867-5378"]},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Errui Ding","raw_affiliation_strings":["Baidu, Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu, Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.193,"has_fulltext":true,"cited_by_count":85,"citation_normalized_percentile":{"value":0.96604826,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4334","last_page":"4342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/skeleton-based-action-recognition","display_name":"skeleton-based action recognition","score":1.0},{"id":"https://openalex.org/keywords/multi-granularity-representation","display_name":"multi-granularity representation","score":0.800000011920929},{"id":"https://openalex.org/keywords/human-motion-analysis","display_name":"human motion analysis","score":0.46399998664855957},{"id":"https://openalex.org/keywords/graph-neural-networks","display_name":"graph neural networks","score":0.5419999957084656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8226562738418579},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.660318911075592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6597546339035034},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6443422436714172},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6145103573799133},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6092065572738647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5123540163040161},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5054357051849365},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4503362476825714},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.433454692363739},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42408332228660583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35535335540771484},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20680564641952515},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3474085.3475574","doi":"https://doi.org/10.1145/3474085.3475574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475574","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2108.04536","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.04536","pdf_url":"https://arxiv.org/pdf/2108.04536","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2108.04536","doi":"https://doi.org/10.48550/arxiv.2108.04536","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2108.04536","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2108.04536","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.04536","pdf_url":"https://arxiv.org/pdf/2108.04536","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1361135728","display_name":"EPSRC Centre for Doctoral Training in Digital Civics","funder_award_id":"EP/L016176/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3207613026.pdf","grobid_xml":"https://content.openalex.org/works/W3207613026.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W203345490","https://openalex.org/W1893516992","https://openalex.org/W1950788856","https://openalex.org/W2048821851","https://openalex.org/W2510185399","https://openalex.org/W2519887557","https://openalex.org/W2593146028","https://openalex.org/W2603861860","https://openalex.org/W2604321021","https://openalex.org/W2613570903","https://openalex.org/W2619947201","https://openalex.org/W2736334449","https://openalex.org/W2752782242","https://openalex.org/W2776687321","https://openalex.org/W2802979841","https://openalex.org/W2940457086","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2952587893","https://openalex.org/W2962730651","https://openalex.org/W2963076818","https://openalex.org/W2963369114","https://openalex.org/W2963420686","https://openalex.org/W2964134613","https://openalex.org/W2964650603","https://openalex.org/W2966210862","https://openalex.org/W2972794281","https://openalex.org/W2981341885","https://openalex.org/W2989661612","https://openalex.org/W2990503944","https://openalex.org/W2996249958","https://openalex.org/W2996835428","https://openalex.org/W3034999503","https://openalex.org/W3035050855","https://openalex.org/W3035149912","https://openalex.org/W3035225512","https://openalex.org/W3035413240","https://openalex.org/W3092754310","https://openalex.org/W3093411241","https://openalex.org/W3093441220","https://openalex.org/W3108496296","https://openalex.org/W3109142774","https://openalex.org/W3134997228","https://openalex.org/W3174836262","https://openalex.org/W3217566130","https://openalex.org/W4230005465"],"related_works":["https://openalex.org/W4403734134","https://openalex.org/W7102508724","https://openalex.org/W4416169783","https://openalex.org/W7213973146","https://openalex.org/W4404008035","https://openalex.org/W4312661503","https://openalex.org/W4312891377","https://openalex.org/W4413925560","https://openalex.org/W4409270812","https://openalex.org/W4402790862"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,86,119,152],"skeleton-based":[3,63],"action":[4,43,64],"recognition":[5],"remains":[6],"a":[7,29,56,81,110],"core":[8],"challenge":[9],"in":[10,22,40,100],"human-centred":[11],"scene":[12],"understanding":[13],"due":[14],"to":[15,93,114],"the":[16,51,69,117,141,146,150],"multiple":[17],"granularities":[18],"and":[19,71,103,137,139],"large":[20],"variation":[21],"human":[23],"motion.":[24],"Existing":[25],"approaches":[26],"typically":[27],"employ":[28],"single":[30],"neural":[31],"representation":[32],"for":[33,62],"different":[34],"motion":[35,74],"patterns,":[36],"which":[37,90,148],"has":[38],"difficulty":[39],"capturing":[41],"fine-grained":[42,72],"classes":[44],"given":[45],"limited":[46],"training":[47],"data.":[48],"To":[49,76],"address":[50],"aforementioned":[52],"problems,":[53],"we":[54,79],"propose":[55],"novel":[57],"multi-granular":[58],"spatio-temporal":[59,98],"graph":[60,83],"network":[61,84,108],"classification":[65],"that":[66],"jointly":[67],"models":[68],"coarse-":[70],"skeleton":[73],"patterns.":[75],"this":[77],"end,":[78],"develop":[80],"dual-head":[82],"consisting":[85],"two":[87,97],"interleaved":[88],"branches,":[89],"enables":[91],"us":[92],"extract":[94],"features":[95],"at":[96],"resolutions":[99],"an":[101],"effective":[102],"efficient":[104],"manner.":[105],"Moreover,":[106],"our":[107,153],"utilises":[109],"cross-head":[111],"communication":[112],"strategy":[113],"mutually":[115],"enhance":[116],"representations":[118],"both":[120],"heads.":[121],"We":[122],"conducted":[123],"extensive":[124],"experiments":[125],"on":[126,144],"three":[127],"large-scale":[128],"datasets,":[129],"namely":[130],"NTU":[131,134],"RGB+D":[132,135],"60,":[133],"120,":[136],"Kinetics-Skeleton,":[138],"achieves":[140],"state-of-the-art":[142],"performance":[143],"all":[145],"benchmarks,":[147],"validates":[149],"effectiveness":[151],"method1.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":14}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-10-25T00:00:00"}
