{"id":"https://openalex.org/W4408281893","doi":"https://doi.org/10.26599/cvm.2025.9450390","title":"Weakly Supervised Instance Action Recognition","display_name":"Weakly Supervised Instance Action Recognition","publication_year":2025,"publication_date":"2025-03-10","ids":{"openalex":"https://openalex.org/W4408281893","doi":"https://doi.org/10.26599/cvm.2025.9450390"},"language":"en","primary_location":{"id":"doi:10.26599/cvm.2025.9450390","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450390","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/cvm.2025.9450390","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066079038","display_name":"Haomin Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haomin Yan","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China,518055","Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin 300350, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China,518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin 300350, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I162868743","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004806106","display_name":"Ruize Han","orcid":"https://orcid.org/0000-0002-6587-8936"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruize Han","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China,518055","Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Shenzhen University of Advanced Technology, Shenzhen 518107, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China,518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Shenzhen University of Advanced Technology, Shenzhen 518107, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101701739","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0003-0204-8393"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Feng","raw_affiliation_strings":["School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University,Tianjin,China,300350","School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin 300350, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University,Tianjin,China,300350","institution_ids":["https://openalex.org/I132369690"]},{"raw_affiliation_string":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin 300350, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103884908","display_name":"Jiewen Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4387153688","display_name":"Beijing Institute of Radio Metrology and Measurement","ror":"https://ror.org/02c8ctc21","country_code":null,"type":"company","lineage":["https://openalex.org/I15089104","https://openalex.org/I4387153688"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiewen Zhao","raw_affiliation_strings":["Beijing Institute of Radio Measurement,Beijing,China,100854","Beijing Institute of Radio Measurement, Beijing 100854, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Radio Measurement,Beijing,China,100854","institution_ids":["https://openalex.org/I4387153688"]},{"raw_affiliation_string":"Beijing Institute of Radio Measurement, Beijing 100854, China","institution_ids":["https://openalex.org/I4387153688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082259804","display_name":"Song Wang","orcid":"https://orcid.org/0000-0003-4152-5295"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["Shenzhen University of Advanced Technology,Shenzhen,China,518107","Shenzhen University of Advanced Technology, Shenzhen 518107, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University of Advanced Technology,Shenzhen,China,518107","institution_ids":["https://openalex.org/I4210152380"]},{"raw_affiliation_string":"Shenzhen University of Advanced Technology, Shenzhen 518107, China","institution_ids":["https://openalex.org/I4210152380","https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066079038"],"corresponding_institution_ids":["https://openalex.org/I162868743","https://openalex.org/I19820366","https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0292418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"3","first_page":"603","last_page":"618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9929999709129333,"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":0.9929999709129333,"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":0.9904999732971191,"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":0.9868999719619751,"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/action-recognition","display_name":"Action recognition","score":0.6405959129333496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5767377614974976},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.5374119877815247},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4952012598514557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4331481456756592},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.34502360224723816},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06976392865180969}],"concepts":[{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6405959129333496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5767377614974976},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.5374119877815247},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4952012598514557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4331481456756592},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.34502360224723816},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06976392865180969},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/cvm.2025.9450390","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450390","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f2e7856b9780440cb45ee4562f0fedc2","is_oa":true,"landing_page_url":"https://doaj.org/article/f2e7856b9780440cb45ee4562f0fedc2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media, Vol 11, Iss 3, Pp 603-618 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/cvm.2025.9450390","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450390","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5084059386","display_name":null,"funder_award_id":"62402490,62072334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W611457968","https://openalex.org/W2053619738","https://openalex.org/W2183341477","https://openalex.org/W2259801182","https://openalex.org/W2269938945","https://openalex.org/W2398000642","https://openalex.org/W2618799552","https://openalex.org/W2736442062","https://openalex.org/W2805409127","https://openalex.org/W2895064504","https://openalex.org/W2940963663","https://openalex.org/W2947315758","https://openalex.org/W2955874753","https://openalex.org/W2962709777","https://openalex.org/W2963150697","https://openalex.org/W2963377215","https://openalex.org/W2963563276","https://openalex.org/W2963677766","https://openalex.org/W2988098865","https://openalex.org/W2990503944","https://openalex.org/W2995113766","https://openalex.org/W3035029089","https://openalex.org/W3035180180","https://openalex.org/W3092656409","https://openalex.org/W3093228294","https://openalex.org/W3095022195","https://openalex.org/W3095669214","https://openalex.org/W3108226879","https://openalex.org/W3108614371","https://openalex.org/W3109173645","https://openalex.org/W3109227653","https://openalex.org/W3110257409","https://openalex.org/W3142282508","https://openalex.org/W3147788509","https://openalex.org/W3173229911","https://openalex.org/W3175859725","https://openalex.org/W3191973200","https://openalex.org/W3203086442","https://openalex.org/W3206198719","https://openalex.org/W3207172562","https://openalex.org/W3207346738","https://openalex.org/W3207927851","https://openalex.org/W4312336798","https://openalex.org/W4312349914","https://openalex.org/W4312557989","https://openalex.org/W4312729941","https://openalex.org/W4312805704","https://openalex.org/W4312828995","https://openalex.org/W4312946625","https://openalex.org/W4386071476","https://openalex.org/W4386094890"],"related_works":["https://openalex.org/W1576128429","https://openalex.org/W2319989118","https://openalex.org/W1503820821","https://openalex.org/W2285491073","https://openalex.org/W1991998366","https://openalex.org/W3112751614","https://openalex.org/W1995979513","https://openalex.org/W4403759101","https://openalex.org/W2269464716","https://openalex.org/W4249185555"],"abstract_inverted_index":{"We":[0,16,84],"study":[1],"the":[2,21,27,33,41,75,100,106,130,169,172,178],"novel":[3,111],"problem":[4,49,173],"of":[5,23,35,43,51,71,77,88,102,153,171,177],"weakly":[6,37,78,180],"supervised":[7,38,79,155,181],"instance":[8,80],"action":[9,22,81],"recognition":[10,82],"(WSiAR)":[11],"in":[12,26,184],"multi-person":[13],"(crowd)":[14],"scenes.":[15],"specifically":[17],"aim":[18],"to":[19,97,117,129,147,151],"recognize":[20],"each":[24],"subject":[25],"crowd,":[28],"for":[29,46,55,74,139],"which":[30],"we":[31,65,108,132],"propose":[32,85,109,133],"use":[34],"a":[36,69,110,134],"method,":[39],"considering":[40],"expense":[42],"large-scale":[44],"annotations":[45,73],"training.":[47,126],"This":[48,143],"is":[50],"great":[52],"practical":[53],"value":[54],"video":[56],"surveillance":[57],"and":[58,67,94,175],"sports":[59],"scene":[60],"analysis.":[61],"To":[62],"this":[63],"end,":[64],"investigated":[66],"designed":[68],"series":[70],"weak":[72,89,123],"supervision":[76],"(WSiAR).":[83],"two":[86,166],"categories":[87],"label":[90,136],"settings,":[91],"bag":[92],"labels":[93,124],"sparse":[95,141],"labels,":[96],"significantly":[98,159],"reduce":[99],"number":[101],"labels.":[103,142],"Based":[104],"on":[105,165],"former,":[107],"sub-block-aware":[112],"multi-instance":[113],"learning":[114],"(MIL)":[115],"loss":[116],"obtain":[118],"more":[119],"effective":[120],"information":[121],"from":[122],"during":[125],"With":[127],"respect":[128],"latter,":[131],"pseudo":[135],"generation":[137],"strategy":[138],"extending":[140],"enables":[144],"our":[145,186],"method":[146,183],"achieve":[148],"results":[149,164],"comparable":[150],"those":[152],"fully":[154],"methods":[156],"but":[157],"with":[158],"fewer":[160],"annotations.":[161],"The":[162],"experimental":[163],"benchmarks":[167],"verified":[168],"rationality":[170],"definition":[174],"effectiveness":[176],"proposed":[179],"training":[182],"solving":[185],"problem.":[187]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}