{"id":"https://openalex.org/W4309342700","doi":"https://doi.org/10.1109/smc53654.2022.9945457","title":"View-Robust Neural Networks for Unseen Human Action Recognition in Videos","display_name":"View-Robust Neural Networks for Unseen Human Action Recognition in Videos","publication_year":2022,"publication_date":"2022-10-09","ids":{"openalex":"https://openalex.org/W4309342700","doi":"https://doi.org/10.1109/smc53654.2022.9945457"},"language":"en","primary_location":{"id":"doi:10.1109/smc53654.2022.9945457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945457","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5001205723","display_name":"Jiahui Yu","orcid":"https://orcid.org/0000-0003-1314-2481"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Yu","raw_affiliation_strings":["Zhejiang University,Department of Biomedical Engineering,Hangzhou,China","Innovation Center for Smart Medical Technologies & Devices, Binjiang Institute of Zhejiang University, Hangzhou, China","Department of Biomedical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,Department of Biomedical Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Innovation Center for Smart Medical Technologies & Devices, Binjiang Institute of Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019853303","display_name":"Tianyu Ma","orcid":"https://orcid.org/0000-0003-3260-7125"},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Ma","raw_affiliation_strings":["Shenyang Ligong University,School of Automation and Electrical Engineering,Shenyang,China","School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Ligong University,School of Automation and Electrical Engineering,Shenyang,China","institution_ids":["https://openalex.org/I116036724"]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, China","institution_ids":["https://openalex.org/I116036724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056287221","display_name":"Zhaojie Ju","orcid":"https://orcid.org/0000-0002-9524-7609"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","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"]},{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Zhaojie Ju","raw_affiliation_strings":["Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences,Shenyang,China","School of Computing, University of Portsmouth, Portsmouth, UK","Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences,Shenyang,China","institution_ids":["https://openalex.org/I142078773"]},{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442532","display_name":"Hang Chen","orcid":"https://orcid.org/0000-0003-1410-4284"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Chen","raw_affiliation_strings":["Zhejiang University,Department of Biomedical Engineering,Hangzhou,China","Department of Biomedical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,Department of Biomedical Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008781594","display_name":"Yingke Xu","orcid":"https://orcid.org/0000-0002-8317-0608"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingke Xu","raw_affiliation_strings":["Zhejiang University,Department of Biomedical Engineering,Hangzhou,China","Innovation Center for Smart Medical Technologies & Devices, Binjiang Institute of Zhejiang University, Hangzhou, China","Department of Biomedical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,Department of Biomedical Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Innovation Center for Smart Medical Technologies & Devices, Binjiang Institute of Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1242","last_page":"1247"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9866999983787537,"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/computer-science","display_name":"Computer science","score":0.8119295239448547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7859811782836914},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6912730932235718},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6680631637573242},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5916674733161926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47774404287338257},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47534653544425964},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4710393249988556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4628877341747284},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.43492719531059265},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43381446599960327},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.4263167083263397},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.41929009556770325},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.41237348318099976},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.26447781920433044},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.06927186250686646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8119295239448547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7859811782836914},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6912730932235718},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6680631637573242},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5916674733161926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47774404287338257},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47534653544425964},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4710393249988556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4628877341747284},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.43492719531059265},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43381446599960327},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.4263167083263397},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.41929009556770325},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.41237348318099976},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.26447781920433044},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.06927186250686646},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53654.2022.9945457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945457","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2101032778","https://openalex.org/W2790643087","https://openalex.org/W2887562521","https://openalex.org/W2940457086","https://openalex.org/W2962722475","https://openalex.org/W2963282966","https://openalex.org/W2963465695","https://openalex.org/W2963645879","https://openalex.org/W2964134613","https://openalex.org/W2978927732","https://openalex.org/W2981341885","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W2997624179","https://openalex.org/W2998273692","https://openalex.org/W3008273026","https://openalex.org/W3034572008","https://openalex.org/W3152946508","https://openalex.org/W3174644353","https://openalex.org/W3215723718","https://openalex.org/W3216909972","https://openalex.org/W6765212448","https://openalex.org/W6768529555","https://openalex.org/W6794043352"],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W4293226380","https://openalex.org/W2123263858","https://openalex.org/W2334655667","https://openalex.org/W2004108207","https://openalex.org/W3135266094","https://openalex.org/W4312069176","https://openalex.org/W4399611050","https://openalex.org/W2999049608","https://openalex.org/W3170431411"],"abstract_inverted_index":{"Data-driven":[0],"deep":[1],"learning":[2],"achieved":[3],"excellent":[4],"performance":[5,167,197],"for":[6,17,198],"human":[7],"action":[8,12,24,39,42,200],"recognition.":[9],"However,":[10],"unseen":[11,57,199],"recognition":[13,43,196],"remains":[14],"a":[15,65,97,130],"challenge":[16],"most":[18],"existing":[19,90],"neural":[20,52,73,138,162,191],"networks.":[21],"Because":[22],"the":[23,85,118,136,165,179,185,195,206],"categories,":[25],"collection":[26,33],"perspectives,":[27],"and":[28,75,102,111,129,151,172,182],"scenarios":[29],"considered":[30],"during":[31],"data":[32],"are":[34],"limited.":[35],"Compared":[36],"with":[37],"class-unseen":[38],"recognition,":[40,201],"view-unseen":[41],"in":[44,59,117],"videos":[45],"is":[46],"under-explored.":[47],"This":[48],"paper":[49],"proposes":[50],"view-robust":[51],"networks":[53,139,163,192],"(VR-Net)":[54],"to":[55,169],"recognize":[56],"actions":[58],"videos.":[60],"The":[61,155,189],"VR-Net":[62],"consists":[63],"of":[64],"3D":[66,81],"pose":[67,91],"estimation":[68,92],"module,":[69],"skeleton":[70,82,98,120],"adaptive":[71],"transformation":[72,100],"networks,":[74],"classification":[76],"modules.":[77],"We":[78,134],"first":[79],"extract":[80],"models":[83],"from":[84],"video":[86],"sequence":[87],"based":[88,105],"on":[89,106,140,178,184,205],"methods.":[93],"Next,":[94],"we":[95,123],"propose":[96],"representation":[99],"scheme":[101,128],"achieve":[103,164],"it":[104],"Convolutional":[107],"Neural":[108,113],"Networks":[109,114],"(VR-CNN)":[110],"Graph":[112],"(VR-GCN),":[115],"resulting":[116],"optimal":[119],"representations.":[121],"Futhermore,":[122],"explore":[124],"an":[125],"associate":[126],"optimization":[127],"fused":[131],"output":[132],"method.":[133],"evaluate":[135],"proposed":[137,190],"three":[141],"challenging":[142],"benchmarks,":[143],"i.e.,":[144],"NTU":[145,180],"RGB-D":[146],"dataset":[147,153,187],"(NTU),":[148],"Kinetics-400":[149,186],"dataset,":[150],"Human3.6M":[152],"(H3.6M).":[154],"experimental":[156],"results":[157],"show":[158],"that":[159],"view":[160],"robust":[161],"top":[166],"compared":[168],"state-of-the-art":[170],"RGB-based":[171],"skeleton-based":[173],"works,":[174],"such":[175,202],"as":[176,203],"93.6%":[177],"(CV)":[181],"94.6%":[183],"(Top-5).":[188],"significantly":[193],"improve":[194],"86.8%":[204],"H3.6M":[207],"(View":[208],"2).":[209]},"counts_by_year":[],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}