{"id":"https://openalex.org/W4387815075","doi":"https://doi.org/10.1145/3606042.3616458","title":"Mitigating Context Bias in Action Recognition via Skeleton-Dominated Two-Stream Network","display_name":"Mitigating Context Bias in Action Recognition via Skeleton-Dominated Two-Stream Network","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4387815075","doi":"https://doi.org/10.1145/3606042.3616458"},"language":"en","primary_location":{"id":"doi:10.1145/3606042.3616458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606042.3616458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101431986","display_name":"Qiankun Li","orcid":"https://orcid.org/0000-0001-5121-1682"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiankun Li","raw_affiliation_strings":["Chinese Academy of Sciences &amp; University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5121-1682","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences &amp; University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008207535","display_name":"Xiaolong Huang","orcid":"https://orcid.org/0009-0005-5502-2535"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Huang","raw_affiliation_strings":["Chongqing University of Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0005-5502-2535","affiliations":[{"raw_affiliation_string":"Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010246615","display_name":"Yanshuang Luo","orcid":"https://orcid.org/0009-0008-8091-4836"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwen Luo","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0008-8091-4836","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039767429","display_name":"Xiaoyu Hu","orcid":"https://orcid.org/0009-0005-4727-6236"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Hu","raw_affiliation_strings":["Chinese Academy of Sciences &amp; University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0005-4727-6236","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences &amp; University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056642943","display_name":"Xinyu Sun","orcid":"https://orcid.org/0000-0002-8007-3669"},"institutions":[{"id":"https://openalex.org/I4401727007","display_name":"Hikvision (China)","ror":"https://ror.org/02jzypx27","country_code":null,"type":"company","lineage":["https://openalex.org/I4401727007"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Sun","raw_affiliation_strings":["Hangzhou Hikvision Digital Technology Co., Ltd., Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8007-3669","affiliations":[{"raw_affiliation_string":"Hangzhou Hikvision Digital Technology Co., Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4401727007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103123751","display_name":"Zengfu Wang","orcid":"https://orcid.org/0000-0003-1859-900X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengfu Wang","raw_affiliation_strings":["Chinese Academy of Sciences &amp; University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1859-900X","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences &amp; University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.9987999796867371,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"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":0.7620718479156494},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6439824104309082},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.5845000147819519},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5797220468521118},{"id":"https://openalex.org/keywords/realm","display_name":"Realm","score":0.5639249086380005},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.561661422252655},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49130359292030334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4882633686065674},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4849820137023926},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.46057701110839844},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.45990487933158875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620718479156494},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6439824104309082},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.5845000147819519},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5797220468521118},{"id":"https://openalex.org/C2778757428","wikidata":"https://www.wikidata.org/wiki/Q1250464","display_name":"Realm","level":2,"score":0.5639249086380005},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.561661422252655},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49130359292030334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4882633686065674},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4849820137023926},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.46057701110839844},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.45990487933158875},{"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},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606042.3616458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606042.3616458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2045251362","https://openalex.org/W2126579184","https://openalex.org/W2546875627","https://openalex.org/W2559655401","https://openalex.org/W2625366777","https://openalex.org/W2898846274","https://openalex.org/W2943314885","https://openalex.org/W2948058585","https://openalex.org/W2963076818","https://openalex.org/W2963315828","https://openalex.org/W2963524571","https://openalex.org/W2963563276","https://openalex.org/W3003443105","https://openalex.org/W3034572008","https://openalex.org/W3081276604","https://openalex.org/W3096803658","https://openalex.org/W3133964188","https://openalex.org/W3138516171","https://openalex.org/W4214612132","https://openalex.org/W4214614183","https://openalex.org/W4304092138","https://openalex.org/W4312245820","https://openalex.org/W4312560592","https://openalex.org/W4312591085","https://openalex.org/W4319317104"],"related_works":["https://openalex.org/W2359053655","https://openalex.org/W2387777532","https://openalex.org/W2382709029","https://openalex.org/W2389147080","https://openalex.org/W2377883125","https://openalex.org/W2362479786","https://openalex.org/W2004108207","https://openalex.org/W4399611050","https://openalex.org/W2999049608","https://openalex.org/W3170431411"],"abstract_inverted_index":{"In":[0,64],"the":[1,18,28,34,39,43,50,84,96,104],"realm":[2],"of":[3,20,30,106],"intelligent":[4],"manufacturing":[5],"and":[6,82,86],"industrial":[7,62],"upgrading,":[8],"sophisticated":[9],"multimedia":[10],"computing":[11],"technologies":[12],"play":[13],"a":[14,69,76],"pivotal":[15],"role":[16],"in":[17,61],"recognition":[19],"video":[21,90],"actions.":[22],"However,":[23],"most":[24],"studies":[25],"suffer":[26],"from":[27],"issue":[29],"background":[31,101],"bias,":[32,102],"where":[33],"models":[35],"excessively":[36],"focus":[37],"on":[38,48,95],"contextual":[40],"information":[41],"within":[42],"videos":[44],"rather":[45],"than":[46],"concentrating":[47],"comprehending":[49],"human":[51],"actions":[52],"themselves.":[53],"This":[54],"could":[55],"potentially":[56],"lead":[57],"to":[58],"severe":[59],"misjudgments":[60],"applications.":[63],"this":[65],"paper,":[66],"we":[67],"propose":[68],"Skeleton-Dominated":[70],"Two-Stream":[71],"Network":[72],"(SDTSN),":[73],"which":[74],"is":[75],"novel":[77],"two-stream":[78],"framework":[79],"that":[80],"fuses":[81],"ensembles":[83],"skeleton":[85],"RGB":[87],"modalities":[88],"for":[89],"action":[91],"recognition.":[92],"Experimental":[93],"results":[94],"Mimetics":[97],"dataset,":[98],"without":[99],"any":[100],"demonstrate":[103],"efficacy":[105],"our":[107],"approach.":[108]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
