{"id":"https://openalex.org/W3043017811","doi":"https://doi.org/10.3390/a13070169","title":"TBRNet: Two-Stream BiLSTM Residual Network for Video Action Recognition","display_name":"TBRNet: Two-Stream BiLSTM Residual Network for Video Action Recognition","publication_year":2020,"publication_date":"2020-07-15","ids":{"openalex":"https://openalex.org/W3043017811","doi":"https://doi.org/10.3390/a13070169","mag":"3043017811"},"language":"en","primary_location":{"id":"doi:10.3390/a13070169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a13070169","pdf_url":"https://www.mdpi.com/1999-4893/13/7/169/pdf","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/13/7/169/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101929957","display_name":"Xiao Wu","orcid":"https://orcid.org/0000-0002-9153-9065"},"institutions":[{"id":"https://openalex.org/I4210092257","display_name":"China Guangzhou Analysis and Testing Center","ror":"https://ror.org/00d6bjs95","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210092257"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wu","raw_affiliation_strings":["Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou 510006, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou 510006, China","institution_ids":["https://openalex.org/I4210092257"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039951888","display_name":"Qingge Ji","orcid":"https://orcid.org/0000-0002-1207-2410"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210092257","display_name":"China Guangzhou Analysis and Testing Center","ror":"https://ror.org/00d6bjs95","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210092257"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingge Ji","raw_affiliation_strings":["Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou 510006, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou 510006, China","institution_ids":["https://openalex.org/I4210092257"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039951888"],"corresponding_institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210092257"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.3678,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8354843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"7","first_page":"169","last_page":"169"},"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8257158994674683},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7968084812164307},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6630613207817078},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6316051483154297},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6081112027168274},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5823305249214172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5516263246536255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5140343904495239},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4497350752353668},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.44682493805885315},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.42821216583251953},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1320841908454895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257158994674683},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7968084812164307},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6630613207817078},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6316051483154297},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6081112027168274},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5823305249214172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5516263246536255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5140343904495239},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4497350752353668},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.44682493805885315},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.42821216583251953},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1320841908454895},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a13070169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a13070169","pdf_url":"https://www.mdpi.com/1999-4893/13/7/169/pdf","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:86f1e0f1164c4a7984b5b06b7aef645f","is_oa":true,"landing_page_url":"https://doaj.org/article/86f1e0f1164c4a7984b5b06b7aef645f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 13, Iss 7, p 169 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/13/7/169/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/a13070169","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a13070169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a13070169","pdf_url":"https://www.mdpi.com/1999-4893/13/7/169/pdf","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3043017811.pdf","grobid_xml":"https://content.openalex.org/works/W3043017811.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1595717062","https://openalex.org/W1686810756","https://openalex.org/W1923404803","https://openalex.org/W1944615693","https://openalex.org/W1947481528","https://openalex.org/W1983364832","https://openalex.org/W2016053056","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2105101328","https://openalex.org/W2108333036","https://openalex.org/W2126579184","https://openalex.org/W2139501017","https://openalex.org/W2142194269","https://openalex.org/W2156303437","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2193384753","https://openalex.org/W2194775991","https://openalex.org/W2235034809","https://openalex.org/W2292288263","https://openalex.org/W2342662179","https://openalex.org/W2507009361","https://openalex.org/W2539525772","https://openalex.org/W2558383949","https://openalex.org/W2626212608","https://openalex.org/W2745519816","https://openalex.org/W2746726611","https://openalex.org/W2752782242","https://openalex.org/W2769581371","https://openalex.org/W2886479397","https://openalex.org/W2938698191","https://openalex.org/W2963495494","https://openalex.org/W2963524571","https://openalex.org/W2963820951","https://openalex.org/W2964350391","https://openalex.org/W2969612128","https://openalex.org/W6600983433","https://openalex.org/W6626481562","https://openalex.org/W6628927728","https://openalex.org/W6678854542","https://openalex.org/W6684983439","https://openalex.org/W6780493881"],"related_works":["https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2129146436","https://openalex.org/W2389120450","https://openalex.org/W55249799"],"abstract_inverted_index":{"Modeling":[0],"spatiotemporal":[1,68,110,121,148,153],"representations":[2,69],"is":[3],"one":[4],"of":[5,64,112,166,173],"the":[6,19,25,33,39,65,75,78,83,97,102,108,113,116,164],"most":[7],"essential":[8],"yet":[9],"challenging":[10],"issues":[11],"in":[12],"video":[13,43],"action":[14,44],"recognition.":[15],"Existing":[16],"methods":[17],"lack":[18],"capacity":[20],"to":[21,106,134,150],"accurately":[22],"model":[23],"either":[24],"correlations":[26],"between":[27,67,96],"spatial":[28],"and":[29,70,100,160,175],"temporal":[30,35,72,128,142],"features":[31,91,103,111,122,149],"or":[32,179],"global":[34,71,152],"dependencies.":[36,73,139],"Inspired":[37],"by":[38,170],"two-stream":[40,79],"network":[41,133],"for":[42],"recognition,":[45],"we":[46,162],"propose":[47],"an":[48],"encoder\u2013decoder":[49],"framework":[50],"named":[51],"Two-Stream":[52],"Bidirectional":[53],"Long":[54],"Short-Term":[55],"Memory":[56],"(LSTM)":[57],"Residual":[58,85],"Network":[59],"(TBRNet)":[60],"which":[61],"takes":[62],"advantage":[63],"interaction":[66],"In":[74,115],"encoding":[76],"phase,":[77,118],"architecture,":[80],"based":[81],"on":[82],"proposed":[84,168],"Convolutional":[86],"3D":[87],"(Res-C3D)":[88],"network,":[89],"extracts":[90],"with":[92,146,184],"residual":[93],"connections":[94],"inserted":[95],"two":[98,156],"pathways,":[99],"then":[101],"are":[104,123,144],"fused":[105],"become":[107],"short-term":[109,120,147],"encoder.":[114],"decoding":[117],"those":[119,141],"first":[124],"fed":[125],"into":[126],"a":[127,171],"attention-based":[129],"bidirectional":[130,137],"LSTM":[131],"(BiLSTM)":[132],"obtain":[135,151],"long-term":[136],"attention-pooling":[138],"Subsequently,":[140],"dependencies":[143],"integrated":[145],"relationships.":[154],"On":[155],"benchmark":[157],"datasets,":[158],"UCF101":[159],"HMDB51,":[161],"verified":[163],"effectiveness":[165],"our":[167],"TBRNet":[169],"series":[172],"experiments,":[174],"it":[176],"achieved":[177],"competitive":[178],"even":[180],"better":[181],"results":[182],"compared":[183],"existing":[185],"state-of-the-art":[186],"approaches.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}