{"id":"https://openalex.org/W3001937790","doi":"https://doi.org/10.1109/access.2020.2968024","title":"Learning Attention-Enhanced Spatiotemporal Representation for Action Recognition","display_name":"Learning Attention-Enhanced Spatiotemporal Representation for Action Recognition","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3001937790","doi":"https://doi.org/10.1109/access.2020.2968024","mag":"3001937790"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2968024","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968024","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08963915.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/08963915.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102003588","display_name":"Zhensheng Shi","orcid":"https://orcid.org/0000-0001-5793-9850"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhensheng Shi","raw_affiliation_strings":["Department of Electronic Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044748334","display_name":"Liangjie Cao","orcid":"https://orcid.org/0000-0001-5573-152X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangjie Cao","raw_affiliation_strings":["Department of Electronic Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068380649","display_name":"Cheng Guan","orcid":"https://orcid.org/0000-0001-8176-9556"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Guan","raw_affiliation_strings":["Department of Electronic Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049456032","display_name":"Haiyong Zheng","orcid":"https://orcid.org/0000-0002-8027-0734"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyong Zheng","raw_affiliation_strings":["Department of Electronic Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-8027-0734","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046461199","display_name":"Zhaorui Gu","orcid":"https://orcid.org/0000-0002-6673-7932"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaorui Gu","raw_affiliation_strings":["Department of Electronic Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055980512","display_name":"Zhibin Yu","orcid":"https://orcid.org/0000-0003-4372-1767"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Yu","raw_affiliation_strings":["Department of Electronic Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-4372-1767","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101974805","display_name":"Bing Zheng","orcid":"https://orcid.org/0000-0003-2295-3569"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zheng","raw_affiliation_strings":["Department of Electronic Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7667,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7284532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"16785","last_page":"16794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9955000281333923,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"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":0.8677774667739868},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7517403364181519},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.6205329298973083},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6013546586036682},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.583869457244873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5738990306854248},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5070750713348389},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4901669919490814},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4888860285282135},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.44965600967407227},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.43038415908813477},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33217501640319824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09931039810180664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8677774667739868},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7517403364181519},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.6205329298973083},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6013546586036682},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.583869457244873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5738990306854248},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5070750713348389},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4901669919490814},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4888860285282135},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.44965600967407227},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.43038415908813477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33217501640319824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09931039810180664},{"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/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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2968024","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968024","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08963915.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bb39302ef4fe4b4282607f45c395d531","is_oa":true,"landing_page_url":"https://doaj.org/article/bb39302ef4fe4b4282607f45c395d531","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 8, Pp 16785-16794 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2968024","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968024","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08963915.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G217522548","display_name":"\u7c7b\u522b\u4e0d\u5e73\u8861\u6761\u4ef6\u4e0b\u6d77\u6d0b\u6d6e\u6e38\u751f\u7269\u56fe\u50cf\u7cbe\u7ec6\u8bc6\u522b\u53ca\u5176\u539f\u4f4d\u5e94\u7528\u7814\u7a76","funder_award_id":"61771440","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2730164879","display_name":null,"funder_award_id":"201806335022","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G4030527203","display_name":null,"funder_award_id":"41776113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4830210727","display_name":null,"funder_award_id":"17-1-1-5-jch","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6370765370","display_name":null,"funder_award_id":"201861007","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7484330355","display_name":null,"funder_award_id":"17-1-1-5-jch","funder_id":"https://openalex.org/F4320326700","funder_display_name":"Qingdao Municipal Science and Technology Bureau"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320326700","display_name":"Qingdao Municipal Science and Technology Bureau","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3001937790.pdf","grobid_xml":"https://content.openalex.org/works/W3001937790.grobid-xml"},"referenced_works_count":88,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W603908379","https://openalex.org/W1522734439","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1900913856","https://openalex.org/W1923404803","https://openalex.org/W1928906481","https://openalex.org/W1944615693","https://openalex.org/W1983364832","https://openalex.org/W2016053056","https://openalex.org/W2064675550","https://openalex.org/W2097117768","https://openalex.org/W2105101328","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2114456882","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2142194269","https://openalex.org/W2156303437","https://openalex.org/W2163292664","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2308045930","https://openalex.org/W2342662179","https://openalex.org/W2342776425","https://openalex.org/W2469228190","https://openalex.org/W2507009361","https://openalex.org/W2514167171","https://openalex.org/W2553594924","https://openalex.org/W2618530766","https://openalex.org/W2619947201","https://openalex.org/W2746726611","https://openalex.org/W2752386593","https://openalex.org/W2765268259","https://openalex.org/W2773003563","https://openalex.org/W2796633859","https://openalex.org/W2799146007","https://openalex.org/W2807931652","https://openalex.org/W2883429621","https://openalex.org/W2903691278","https://openalex.org/W2905172366","https://openalex.org/W2948358897","https://openalex.org/W2949117887","https://openalex.org/W2951527505","https://openalex.org/W2962710043","https://openalex.org/W2962852931","https://openalex.org/W2962858109","https://openalex.org/W2962891704","https://openalex.org/W2962899219","https://openalex.org/W2962934715","https://openalex.org/W2963091558","https://openalex.org/W2963155035","https://openalex.org/W2963216700","https://openalex.org/W2963446712","https://openalex.org/W2963465031","https://openalex.org/W2963495494","https://openalex.org/W2963524571","https://openalex.org/W2963645879","https://openalex.org/W2963699792","https://openalex.org/W2963820951","https://openalex.org/W2964233791","https://openalex.org/W2964350391","https://openalex.org/W3118608800","https://openalex.org/W4294557331","https://openalex.org/W4385245566","https://openalex.org/W6600983433","https://openalex.org/W6618372016","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6640376812","https://openalex.org/W6682137061","https://openalex.org/W6682864246","https://openalex.org/W6684983439","https://openalex.org/W6694260854","https://openalex.org/W6724944384","https://openalex.org/W6725948286","https://openalex.org/W6739901393","https://openalex.org/W6743837088","https://openalex.org/W6746034047","https://openalex.org/W6746091131","https://openalex.org/W6752285806","https://openalex.org/W6752764193","https://openalex.org/W6757587124","https://openalex.org/W6787972765","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3047363187","https://openalex.org/W3119773509","https://openalex.org/W3177373753","https://openalex.org/W2004108207","https://openalex.org/W3128220219","https://openalex.org/W4360604087","https://openalex.org/W3104886537","https://openalex.org/W4287603302"],"abstract_inverted_index":{"Learning":[0],"spatiotemporal":[1,45,60,164],"features":[2,74,92],"via":[3],"3D-CNN":[4,35,78,115],"(3D":[5],"Convolutional":[6],"Neural":[7],"Network)":[8],"models":[9],"has":[10],"been":[11],"regarded":[12],"as":[13],"an":[14,83,124,137],"effective":[15,188],"approach":[16],"for":[17,28,42,62,157,171],"action":[18],"recognition.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,55,81,118],"explore":[24],"visual":[25],"attention":[26,58,144,150,159],"mechanism":[27],"video":[29,156,169],"analysis":[30],"and":[31,65,105,178],"propose":[32],"a":[33,76,94],"novel":[34],"model,":[36,131],"dubbed":[37],"AE-I3D":[38,51,130,186],"(Attention-Enhanced":[39,85],"Inflated-3D":[40],"Network),":[41],"learning":[43,97,161],"attention-enhanced":[44,91],"representation.":[46,165],"The":[47,180],"contribution":[48],"of":[49,72],"our":[50,129,146,185],"is":[52,103,187],"threefold:":[53],"First,":[54],"inflate":[56],"soft":[57],"in":[59,75,93,136],"scope":[61],"3D":[63,155,158],"videos,":[64],"adopt":[66],"softmax":[67],"to":[68,154,162],"generate":[69],"probability":[70],"distribution":[71],"attentional":[73],"feedforward":[77],"architecture;":[79],"Second,":[80],"devise":[82],"AE-Res":[84,101,121],"Residual":[86],"learning)":[87],"module,":[88],"which":[89,132],"learns":[90],"two-branch":[95],"residual":[96,149,160],"way,":[98],"also":[99],"the":[100],"module":[102],"lightweight":[104],"flexible,":[106],"so":[107],"that":[108,184],"can":[109,133],"be":[110,134],"easily":[111],"embedded":[112],"into":[113,123],"many":[114],"architectures;":[116],"Finally,":[117],"embed":[119],"multiple":[120],"modules":[122],"I3D":[125],"(Inflated-3D)":[126],"network,":[127],"yielding":[128],"trained":[135],"end-to-end,":[138],"video-level":[139],"manner.":[140],"Different":[141],"from":[142,151],"previous":[143],"networks,":[145],"method":[147],"inflates":[148],"2D":[152],"image":[153],"enhance":[163],"We":[166],"use":[167],"RGB-only":[168],"data":[170],"evaluation":[172],"on":[173],"three":[174],"benchmarks:":[175],"UCF101,":[176],"HMDB51,":[177],"Kinetics.":[179],"experimental":[181],"results":[182],"demonstrate":[183],"with":[189],"competitive":[190],"performance.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}