{"id":"https://openalex.org/W4400720166","doi":"https://doi.org/10.1109/wacv61042.2026.00280","title":"STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences","display_name":"STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W4400720166","doi":"https://doi.org/10.1109/wacv61042.2026.00280"},"language":"en","primary_location":{"id":"doi:10.1109/wacv61042.2026.00280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.10935","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046394337","display_name":"Soroush Mehraban","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Soroush Mehraban","raw_affiliation_strings":["University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohammad Javad Rajabi","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad Javad Rajabi","raw_affiliation_strings":["University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Andrea Iaboni","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Andrea Iaboni","raw_affiliation_strings":["University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":null,"display_name":"Babak Taati","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Babak Taati","raw_affiliation_strings":["University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00176489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2858","last_page":"2868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/skeleton","display_name":"Skeleton (computer programming)","score":0.7930189371109009},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5668677687644958},{"id":"https://openalex.org/keywords/stars","display_name":"Stars","score":0.5307053923606873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5200038552284241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45019179582595825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41509103775024414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3152207136154175},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18395638465881348}],"concepts":[{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.7930189371109009},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5668677687644958},{"id":"https://openalex.org/C150846664","wikidata":"https://www.wikidata.org/wiki/Q7602306","display_name":"Stars","level":2,"score":0.5307053923606873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5200038552284241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45019179582595825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41509103775024414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3152207136154175},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18395638465881348},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wacv61042.2026.00280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2407.10935","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.10935","pdf_url":"https://arxiv.org/pdf/2407.10935","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.2407.10935","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2407.10935","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:2407.10935","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.10935","pdf_url":"https://arxiv.org/pdf/2407.10935","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/W120075840","https://openalex.org/W2953562271","https://openalex.org/W182374993","https://openalex.org/W2326808910","https://openalex.org/W2334655667","https://openalex.org/W3017839092","https://openalex.org/W2044702560","https://openalex.org/W2887397322","https://openalex.org/W3106145554","https://openalex.org/W2049466159"],"abstract_inverted_index":{"Self-supervised":[0,43],"pretraining":[1],"methods":[2,30],"with":[3,32],"masked":[4,58,123],"prediction":[5,59,124],"demonstrate":[6],"remarkable":[7],"within-dataset":[8],"performance":[9],"in":[10,34,49,107,126],"skeleton-based":[11],"action":[12],"recognition.":[13],"However,":[14],"we":[15,41],"show":[16],"that,":[17],"unlike":[18],"contrastive":[19,69],"learning":[20,70],"approaches,":[21],"they":[22],"do":[23],"not":[24,133],"produce":[25],"well-separated":[26],"clusters.":[27],"Additionally,":[28],"these":[29,39],"struggle":[31],"generalization":[33],"few-shot":[35,127],"settings.":[36],"To":[37],"address":[38],"issues,":[40],"propose":[42],"Tuning":[44],"for":[45,85,92],"3D":[46],"Action":[47],"Recognition":[48],"Skeleton":[50],"sequences":[51],"(STARS).":[52],"Specifically,":[53],"STARS":[54,102,117],"first":[55],"uses":[56],"a":[57,93],"stage":[60],"using":[61,98],"an":[62],"encoder-decoder":[63],"architecture.":[64],"It":[65],"then":[66],"employs":[67],"nearest-neighbor":[68],"to":[71],"partially":[72],"tune":[73],"the":[74,77,80,90,130,135],"weights":[75],"of":[76,82],"encoder,":[78],"enhancing":[79],"formation":[81],"semantic":[83],"clusters":[84],"different":[86],"actions.":[87],"By":[88],"tuning":[89],"encoder":[91],"few":[94],"epochs,":[95],"and":[96,113],"without":[97],"hand-crafted":[99],"data":[100],"augmentations,":[101],"achieves":[103],"state-of-the-art":[104],"self-supervised":[105],"results":[106,121],"various":[108],"benchmarks,":[109],"including":[110],"NTU-60,":[111],"NTU-120,":[112],"PKU-MMD.":[114],"In":[115],"addition,":[116],"exhibits":[118],"significantly":[119],"better":[120],"than":[122],"models":[125],"settings,":[128],"where":[129],"model":[131],"has":[132],"seen":[134],"actions":[136],"throughout":[137],"pretraining.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2024-07-17T00:00:00"}