{"id":"https://openalex.org/W4306177316","doi":"https://doi.org/10.48550/arxiv.2210.05895","title":"DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition","display_name":"DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition","publication_year":2022,"publication_date":"2022-10-12","ids":{"openalex":"https://openalex.org/W4306177316","doi":"https://doi.org/10.48550/arxiv.2210.05895"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2210.05895","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.05895","pdf_url":"https://arxiv.org/pdf/2210.05895","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.05895","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028468431","display_name":"Haodong Duan","orcid":"https://orcid.org/0000-0002-3052-4177"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Duan, Haodong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365355","display_name":"Jiaqi Wang","orcid":"https://orcid.org/0000-0002-1708-3573"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jiaqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438001","display_name":"Kai Chen","orcid":"https://orcid.org/0000-0003-2587-6028"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Kai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010087030","display_name":"Dahua Lin","orcid":"https://orcid.org/0000-0002-8865-7896"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Dahua","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028468431"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9467999935150146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7163378000259399},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6034789085388184},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.5885538458824158},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5775593519210815},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5473638772964478},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4774949252605438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46859943866729736},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39486435055732727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3499007821083069},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2623015344142914},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17478519678115845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12807589769363403}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7163378000259399},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6034789085388184},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.5885538458824158},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5775593519210815},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5473638772964478},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4774949252605438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46859943866729736},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39486435055732727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3499007821083069},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2623015344142914},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17478519678115845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12807589769363403},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2210.05895","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.05895","pdf_url":"https://arxiv.org/pdf/2210.05895","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2210.05895","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2210.05895","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2210.05895","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.05895","pdf_url":"https://arxiv.org/pdf/2210.05895","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W2334655667","https://openalex.org/W2464530384","https://openalex.org/W4303411729","https://openalex.org/W4211202157","https://openalex.org/W4388657984","https://openalex.org/W2999049608","https://openalex.org/W3010741941","https://openalex.org/W3170431411","https://openalex.org/W4287181611"],"abstract_inverted_index":{"Graph":[0],"convolution":[1],"networks":[2],"(GCN)":[3],"have":[4],"been":[5],"widely":[6],"used":[7],"in":[8],"skeleton-based":[9,53],"action":[10,54],"recognition.":[11],"We":[12],"note":[13],"that":[14],"existing":[15],"GCN-based":[16],"approaches":[17],"primarily":[18],"rely":[19],"on":[20,91],"prescribed":[21,93],"graphical":[22,86],"structures":[23,87],"(ie.,":[24],"a":[25,49,92,107,118,137],"manually":[26],"defined":[27],"topology":[28],"of":[29,64,89,121],"skeleton":[30],"joints),":[31],"which":[32],"limits":[33],"their":[34],"flexibility":[35],"to":[36,83],"capture":[37,84],"complicated":[38],"correlations":[39],"between":[40],"joints.":[41],"To":[42],"move":[43],"beyond":[44],"this":[45],"limitation,":[46],"we":[47],"propose":[48],"new":[50],"framework":[51],"for":[52,71,112],"recognition,":[55],"namely":[56],"Dynamic":[57],"Group":[58],"Spatio-Temporal":[59],"GCN":[60],"(DG-STGCN).":[61],"It":[62],"consists":[63],"two":[65],"modules,":[66],"DG-GCN":[67,78],"and":[68,73,105,127],"DG-TCN,":[69],"respectively,":[70],"spatial":[72],"temporal":[74,99,115],"modeling.":[75,116],"In":[76],"particular,":[77],"uses":[79],"learned":[80],"affinity":[81],"matrices":[82],"dynamic":[85,108],"instead":[88],"relying":[90],"one,":[94],"while":[95],"DG-TCN":[96],"performs":[97],"group-wise":[98],"convolutions":[100],"with":[101],"varying":[102],"receptive":[103],"fields":[104],"incorporates":[106],"joint-skeleton":[109],"fusion":[110],"module":[111],"adaptive":[113],"multi-level":[114],"On":[117],"wide":[119],"range":[120],"benchmarks,":[122],"including":[123],"NTURGB+D,":[124],"Kinetics-Skeleton,":[125],"BABEL,":[126],"Toyota":[128],"SmartHome,":[129],"DG-STGCN":[130],"consistently":[131],"outperforms":[132],"state-of-the-art":[133],"methods,":[134],"often":[135],"by":[136],"notable":[138],"margin.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":13}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2022-10-14T00:00:00"}