{"id":"https://openalex.org/W4206096183","doi":"https://doi.org/10.1109/access.2022.3144035","title":"An Improved Action Recognition Network With Temporal Extraction and Feature Enhancement","display_name":"An Improved Action Recognition Network With Temporal Extraction and Feature Enhancement","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4206096183","doi":"https://doi.org/10.1109/access.2022.3144035"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3144035","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3144035","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09684482.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09684482.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037387576","display_name":"Jie Jiang","orcid":"https://orcid.org/0000-0001-9658-5127"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Jiang","raw_affiliation_strings":["Department of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-7526-6709"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Department of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7526-6709","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8123,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71726174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"13926","last_page":"13935"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9958999752998352,"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"}},{"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":0.7873034477233887},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.779255747795105},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.7119269371032715},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6878726482391357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.683763325214386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.628856897354126},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5120437741279602},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.46935755014419556},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4574872553348541},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.42994657158851624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38805830478668213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11601173877716064}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7873034477233887},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.779255747795105},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.7119269371032715},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6878726482391357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.683763325214386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.628856897354126},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5120437741279602},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.46935755014419556},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4574872553348541},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.42994657158851624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38805830478668213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11601173877716064},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3144035","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3144035","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09684482.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b32e2587c7b645f498483134fbc20389","is_oa":true,"landing_page_url":"https://doaj.org/article/b32e2587c7b645f498483134fbc20389","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":"IEEE Access, Vol 10, Pp 13926-13935 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3144035","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3144035","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09684482.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G3053330549","display_name":null,"funder_award_id":"U20A20161","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4206096183.pdf","grobid_xml":"https://content.openalex.org/works/W4206096183.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1515070400","https://openalex.org/W1522734439","https://openalex.org/W2016053056","https://openalex.org/W2085307132","https://openalex.org/W2104657103","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2342662179","https://openalex.org/W2507009361","https://openalex.org/W2554320282","https://openalex.org/W2556024076","https://openalex.org/W2616247523","https://openalex.org/W2625366777","https://openalex.org/W2736596806","https://openalex.org/W2736995747","https://openalex.org/W2746726611","https://openalex.org/W2769122686","https://openalex.org/W2770804203","https://openalex.org/W2799176631","https://openalex.org/W2806331055","https://openalex.org/W2883429621","https://openalex.org/W2884797191","https://openalex.org/W2895445581","https://openalex.org/W2948048211","https://openalex.org/W2963066927","https://openalex.org/W2963076818","https://openalex.org/W2963155035","https://openalex.org/W2963524571","https://openalex.org/W2963681914","https://openalex.org/W2963903710","https://openalex.org/W2964191259","https://openalex.org/W2964300401","https://openalex.org/W2981385151","https://openalex.org/W2985060069","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W2996937600","https://openalex.org/W3012362498","https://openalex.org/W3033887932","https://openalex.org/W3034257141","https://openalex.org/W3034572008","https://openalex.org/W3035104321","https://openalex.org/W3035413240","https://openalex.org/W3035619757","https://openalex.org/W3047774176","https://openalex.org/W3102564565","https://openalex.org/W3108339833","https://openalex.org/W3129877547","https://openalex.org/W3171349866","https://openalex.org/W6682864246","https://openalex.org/W6728881024","https://openalex.org/W6729814214","https://openalex.org/W6743837088","https://openalex.org/W6745960190"],"related_works":["https://openalex.org/W2950524887","https://openalex.org/W2883502031","https://openalex.org/W2261271299","https://openalex.org/W2963066927","https://openalex.org/W4280638452","https://openalex.org/W3111811104","https://openalex.org/W4380083739","https://openalex.org/W4285020665","https://openalex.org/W2964944724","https://openalex.org/W4322208588"],"abstract_inverted_index":{"Image":[0],"classification":[1],"and":[2,71,78,139],"action":[3,20,132],"recognition":[4,21],"are":[5,81],"both":[6],"active":[7],"research":[8],"topics":[9],"in":[10,33,99,118],"the":[11,17,31,54,69,76,95,113],"field":[12],"of":[13,19,97,115,130],"computer":[14],"vision.":[15],"However,":[16],"development":[18],"is":[22,65],"rather":[23],"slow":[24],"compared":[25],"with":[26,49],"image":[27],"classification,":[28],"due":[29],"to":[30,52,67],"difficulties":[32],"spatial-temporal":[34],"information":[35],"modeling.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,83],"present":[41],"TEFE,":[42],"a":[43],"deep":[44],"structure":[45],"combining":[46],"temporal":[47,58,61,73,79],"extraction":[48,62],"feature":[50,102],"enhancement":[51,103],"explore":[53],"spatial":[55,77],"coherence":[56],"across":[57],"dimension.":[59],"The":[60,101],"(TE)":[63],"module":[64,105],"used":[66],"capture":[68],"short-term":[70],"long-term":[72],"features.":[74],"Considering":[75],"cues":[80,86],"fine-grained,":[82],"believe":[84],"such":[85],"(if":[87],"encoded":[88],"by":[89],"well-designed":[90],"bilinear":[91,107,120],"models)":[92],"could":[93],"enhance":[94],"representation":[96],"actions":[98],"videos.":[100],"(FE)":[104],"approximates":[106],"pooling":[108],"operations,":[109],"which":[110],"greatly":[111],"reduce":[112],"amount":[114],"parameters":[116],"exist":[117],"original":[119],"pooling.":[121],"Extensive":[122],"experiments":[123],"have":[124],"been":[125],"conducted":[126],"on":[127],"mainstream":[128],"datasets":[129],"human":[131],"(Something":[133],"-":[134],"Something":[135],"V1":[136],"&":[137],"V2,":[138],"Jester).":[140],"Experimental":[141],"results":[142],"show":[143],"that":[144],"our":[145],"model":[146],"achieves":[147],"competitive":[148],"performances":[149],"than":[150],"some":[151],"existing":[152],"methods.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
