{"id":"https://openalex.org/W2978607478","doi":"https://doi.org/10.1109/ijcnn.2019.8851993","title":"Adversarial Action Data Augmentation for Similar Gesture Action Recognition","display_name":"Adversarial Action Data Augmentation for Similar Gesture Action Recognition","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978607478","doi":"https://doi.org/10.1109/ijcnn.2019.8851993","mag":"2978607478"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5100599890","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-4753-8161"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Di Wu","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100785999","display_name":"Junjun Chen","orcid":"https://orcid.org/0000-0001-8902-2553"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Chen","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008754736","display_name":"Nabin Sharma","orcid":"https://orcid.org/0000-0003-0841-1245"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nabin Sharma","raw_affiliation_strings":["School of Software, University of Technology Sydney, Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Software, University of Technology Sydney, Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008056593","display_name":"Shirui Pan","orcid":"https://orcid.org/0000-0003-0794-527X"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shirui Pan","raw_affiliation_strings":["Faculty of IT, Monash University, Clayton, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of IT, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059227406","display_name":"Guodong Long","orcid":"https://orcid.org/0000-0003-3740-9515"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guodong Long","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045600512","display_name":"Michael Blumenstein","orcid":"https://orcid.org/0000-0002-9908-3744"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Blumenstein","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100599890"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.9195,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79581639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9976000189781189,"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":0.9921000003814697,"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/gesture","display_name":"Gesture","score":0.8950811624526978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8075931072235107},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6625531911849976},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6603909730911255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6346638202667236},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5534124374389648},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5378595590591431},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5320575833320618},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4762984812259674},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.45981037616729736},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.43539953231811523},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4164431691169739},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.411723792552948},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3959445357322693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38765209913253784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37119585275650024},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3521943688392639},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32336947321891785}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8950811624526978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8075931072235107},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6625531911849976},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6603909730911255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6346638202667236},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5534124374389648},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5378595590591431},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5320575833320618},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4762984812259674},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.45981037616729736},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.43539953231811523},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4164431691169739},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.411723792552948},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3959445357322693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38765209913253784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37119585275650024},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3521943688392639},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32336947321891785},{"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/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":2,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/148829","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/148829","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W28988658","https://openalex.org/W1522734439","https://openalex.org/W1871385855","https://openalex.org/W1923404803","https://openalex.org/W1947481528","https://openalex.org/W1983364832","https://openalex.org/W1993229407","https://openalex.org/W2034328688","https://openalex.org/W2099471712","https://openalex.org/W2105101328","https://openalex.org/W2110142955","https://openalex.org/W2126574503","https://openalex.org/W2142194269","https://openalex.org/W2142694332","https://openalex.org/W2156303437","https://openalex.org/W2235034809","https://openalex.org/W2342662179","https://openalex.org/W2398121327","https://openalex.org/W2472293097","https://openalex.org/W2507009361","https://openalex.org/W2533739470","https://openalex.org/W2563717578","https://openalex.org/W2574817444","https://openalex.org/W2586564970","https://openalex.org/W2613635555","https://openalex.org/W2656974296","https://openalex.org/W2684113480","https://openalex.org/W2685712812","https://openalex.org/W2687551887","https://openalex.org/W2770173563","https://openalex.org/W2808409763","https://openalex.org/W2962889000","https://openalex.org/W2962920946","https://openalex.org/W2963166524","https://openalex.org/W2963843052","https://openalex.org/W4249279051","https://openalex.org/W4293388793","https://openalex.org/W4320013936","https://openalex.org/W6600983433","https://openalex.org/W6648464962","https://openalex.org/W6676671045","https://openalex.org/W6682864246","https://openalex.org/W6695463398","https://openalex.org/W6724944384","https://openalex.org/W6731976766","https://openalex.org/W6737535144","https://openalex.org/W6746638498","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W4379255972","https://openalex.org/W4383955378","https://openalex.org/W3156291593","https://openalex.org/W3024390022","https://openalex.org/W2998996837","https://openalex.org/W4211070796","https://openalex.org/W4226271949","https://openalex.org/W4200633480","https://openalex.org/W4301431435","https://openalex.org/W4378901537"],"abstract_inverted_index":{"Human":[0],"gestures":[1,67,189],"are":[2,16,89],"unique":[3],"for":[4,117],"recognizing":[5],"and":[6,10,28,55,174,204],"describing":[7],"human":[8,12,34],"actions,":[9],"video-based":[11],"action":[13,35,120,134,162],"recognition":[14,36],"techniques":[15],"effective":[17],"solutions":[18],"to":[19,91,112,139],"varies":[20],"real-world":[21],"applications,":[22],"such":[23,49,201],"as":[24,50,191,193,202],"surveillance,":[25],"video":[26,33,97],"indexing,":[27],"human-computer":[29],"interaction.":[30],"Most":[31],"existing":[32],"approaches":[37],"either":[38,158],"using":[39],"handcraft":[40],"features":[41,83],"from":[42,81,85],"the":[43,65,73,76,93,96,114,141,144,151,155,165,184,194],"frames":[44,74],"or":[45,164],"deep":[46],"learning":[47],"models":[48],"convolutional":[51],"neural":[52,57],"networks":[53,58,110],"(CNN)":[54],"recurrent":[56],"(RNN);":[59],"however,":[60],"they":[61],"have":[62],"mostly":[63],"overlooked":[64],"similar":[66,82,86,118,148,160,188],"between":[68,143],"different":[69],"actions":[70,94,145,190],"when":[71],"processing":[72],"into":[75],"models.":[77],"The":[78,122],"classifiers":[79],"suffer":[80],"extracted":[84],"gestures,":[87],"which":[88],"unable":[90],"classify":[92],"in":[95],"streams.":[98],"In":[99],"this":[100],"paper,":[101],"we":[102,130],"propose":[103],"a":[104,132],"novel":[105,133],"framework":[106,137,152,182],"with":[107,146,198],"generative":[108],"adversarial":[109],"(GAN)":[111],"generate":[113],"data":[115,135,180],"augmentation":[116,136,181],"gesture":[119,161],"recognition.":[121],"contribution":[123],"of":[124],"our":[125,179],"work":[126],"is":[127],"tri-fold:":[128],"1)":[129],"proposed":[131],"(ADAF)":[138],"enlarge":[140],"differences":[142],"very":[147],"gestures;":[149],"2)":[150],"can":[153],"boost":[154,183],"classification":[156],"performance":[157,185],"on":[159,171,186],"pairs":[163],"whole":[166,195],"dataset;":[167],"3)":[168],"experiments":[169],"conducted":[170],"both":[172,187],"KTH":[173],"UCF101":[175],"datasets":[176],"show":[177],"that":[178],"well":[192],"dataset":[196],"compared":[197],"baseline":[199],"methods":[200],"2DCNN":[203],"3DCNN.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}