{"id":"https://openalex.org/W3207409354","doi":"https://doi.org/10.1145/3474085.3475438","title":"TSA-Net: Tube Self-Attention Network for Action Quality Assessment","display_name":"TSA-Net: Tube Self-Attention Network for Action Quality Assessment","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3207409354","doi":"https://doi.org/10.1145/3474085.3475438","mag":"3207409354"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475438","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475438","pdf_url":null,"source":null,"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"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2201.03746","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100605358","display_name":"Shunli Wang","orcid":"https://orcid.org/0000-0003-0485-8082"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunli Wang","raw_affiliation_strings":["Fudan University &amp; Engineering Research Center of AI and Robotics, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University &amp; Engineering Research Center of AI and Robotics, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064280715","display_name":"Dingkang Yang","orcid":"https://orcid.org/0000-0003-1829-5671"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210089285","display_name":"Ji Hua Laboratory","ror":"https://ror.org/006aydy55","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089285"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingkang Yang","raw_affiliation_strings":["Fudan University &amp; Ji Hua Laboratory, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University &amp; Ji Hua Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210089285"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036810000","display_name":"Peng Zhai","orcid":"https://orcid.org/0000-0002-1374-7969"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhai","raw_affiliation_strings":["Fudan University &amp; Jilin Provincial Key Laboratory of Intelligence Science and Engineering, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University &amp; Jilin Provincial Key Laboratory of Intelligence Science and Engineering, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051205321","display_name":"Chixiao Chen","orcid":"https://orcid.org/0000-0002-5980-4236"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chixiao Chen","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414906","display_name":"Lihua Zhang","orcid":"https://orcid.org/0000-0003-0467-4347"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210089285","display_name":"Ji Hua Laboratory","ror":"https://ror.org/006aydy55","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089285"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Zhang","raw_affiliation_strings":["Ji Hua Laboratory &amp; Fudan University, Foshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ji Hua Laboratory &amp; Fudan University, Foshan, China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210089285"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4902","last_page":"4910"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6004064083099365},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5608735680580139},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5150585174560547},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5000474452972412},{"id":"https://openalex.org/keywords/tube","display_name":"Tube (container)","score":0.4116997718811035},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11194422841072083},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0874595046043396},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.06800207495689392},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06689190864562988}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6004064083099365},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5608735680580139},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5150585174560547},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5000474452972412},{"id":"https://openalex.org/C2777551473","wikidata":"https://www.wikidata.org/wiki/Q2093072","display_name":"Tube (container)","level":2,"score":0.4116997718811035},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11194422841072083},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0874595046043396},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.06800207495689392},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06689190864562988},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3474085.3475438","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475438","pdf_url":null,"source":null,"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:2201.03746","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.03746","pdf_url":"https://arxiv.org/pdf/2201.03746","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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2201.03746","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.03746","pdf_url":"https://arxiv.org/pdf/2201.03746","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2443437484","display_name":null,"funder_award_id":"82090052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4389483464","display_name":null,"funder_award_id":"2021SHZDZX0103","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W237546731","https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W2016053056","https://openalex.org/W2260521078","https://openalex.org/W2293244092","https://openalex.org/W2327142087","https://openalex.org/W2342662179","https://openalex.org/W2507183669","https://openalex.org/W2552035314","https://openalex.org/W2610310246","https://openalex.org/W2619947201","https://openalex.org/W2626778328","https://openalex.org/W2750779823","https://openalex.org/W2784435047","https://openalex.org/W2796214461","https://openalex.org/W2895340641","https://openalex.org/W2896457183","https://openalex.org/W2896632102","https://openalex.org/W2899771611","https://openalex.org/W2905550006","https://openalex.org/W2939039198","https://openalex.org/W2951527505","https://openalex.org/W2952122856","https://openalex.org/W2952186347","https://openalex.org/W2953867939","https://openalex.org/W2956007374","https://openalex.org/W2963091558","https://openalex.org/W2963155035","https://openalex.org/W2963227409","https://openalex.org/W2963266682","https://openalex.org/W2963420686","https://openalex.org/W2963524571","https://openalex.org/W2963781481","https://openalex.org/W2963867213","https://openalex.org/W2964080601","https://openalex.org/W2964091144","https://openalex.org/W2981689412","https://openalex.org/W2990152177","https://openalex.org/W2990759760","https://openalex.org/W3016269914","https://openalex.org/W3034572008","https://openalex.org/W3034974675","https://openalex.org/W3035180180","https://openalex.org/W3035714233","https://openalex.org/W3040304705","https://openalex.org/W3042823511","https://openalex.org/W3106728613"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"assessing":[3],"action":[4,32,62,133,157],"quality":[5,63,134],"from":[6,31],"videos":[7],"has":[8],"attracted":[9],"growing":[10],"attention":[11],"in":[12,100,147,159],"computer":[13],"vision":[14],"community":[15],"and":[16,47,75,122,139,173,177,199],"human-computer":[17],"interaction.":[18],"Most":[19],"existing":[20,101],"approaches":[21],"usually":[22],"tackle":[23],"this":[24,52],"problem":[25],"by":[26,90],"directly":[27],"migrating":[28],"the":[29,37,41,77,112,155,160,167,182,192,195],"model":[30],"recognition":[33],"tasks,":[34],"which":[35,82,180],"ignores":[36],"intrinsic":[38],"differences":[39],"within":[40],"feature":[42,93],"map":[43],"such":[44],"as":[45],"foreground":[46],"background":[48],"information.":[49],"To":[50],"address":[51],"issue,":[53],"we":[54,67],"propose":[55,76],"a":[56,69,142],"Tube":[57,78],"Self-Attention":[58,79],"Network":[59],"(TSA-Net)":[60],"for":[61],"assessment":[64,135,158],"(AQA).":[65],"Specifically,":[66],"introduce":[68],"single":[70],"object":[71],"tracker":[72],"into":[73],"AQA":[74],"Module":[80],"(TSA),":[81],"can":[83],"efficiently":[84],"generate":[85],"rich":[86],"spatio-temporal":[87],"contextual":[88],"information":[89],"adopting":[91],"sparse":[92],"interactions.":[94],"The":[95,124,186,197],"TSA":[96],"module":[97],"is":[98,110,151],"embedded":[99],"video":[102],"networks":[103],"to":[104,153],"form":[105],"TSA-Net.":[106,196],"Overall,":[107],"our":[108],"TSA-Net":[109,165],"with":[111],"following":[113],"merits:":[114],"1)":[115],"High":[116,120],"computational":[117],"efficiency,":[118],"2)":[119],"flexibility,":[121],"3)":[123],"state-of-the-art":[125,184],"performance.":[126],"Extensive":[127],"experiments":[128],"are":[129,181,202],"conducted":[130],"on":[131,175,188],"popular":[132],"datasets":[136],"including":[137],"AQA-7":[138,176],"MTL-AQA.":[140],"Besides,":[141],"dataset":[143,201],"named":[144],"Fall":[145],"Recognition":[146],"Figure":[148],"Skating":[149],"(FR-FS)":[150],"proposed":[152],"explore":[154],"basic":[156],"figure":[161],"skating":[162],"scene.":[163],"Our":[164],"achieves":[166],"Spearman's":[168],"Rank":[169],"Correlation":[170],"of":[171,194],"0.8476":[172],"0.9393":[174],"MTL-AQA,":[178],"respectively,":[179],"new":[183],"results.":[185],"results":[187],"FR-FS":[189,200],"also":[190],"verify":[191],"effectiveness":[193],"code":[198],"publicly":[203],"available":[204],"at":[205],"https://github.com/Shunli-Wang/TSA-Net.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
