{"id":"https://openalex.org/W2235034809","doi":"https://doi.org/10.1109/tpami.2017.2712608","title":"Long-Term Temporal Convolutions for Action Recognition","display_name":"Long-Term Temporal Convolutions for Action Recognition","publication_year":2017,"publication_date":"2017-06-06","ids":{"openalex":"https://openalex.org/W2235034809","doi":"https://doi.org/10.1109/tpami.2017.2712608","mag":"2235034809","pmid":"https://pubmed.ncbi.nlm.nih.gov/28600238"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2712608","doi":"https://doi.org/10.1109/tpami.2017.2712608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2712608","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1604.04494","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024292507","display_name":"G\u00fcl Varol","orcid":"https://orcid.org/0000-0002-8438-6152","observed_orcids":["https://orcid.org/0000-0002-8438-6152"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I4210161954","display_name":"D\u00e9partement d'Informatique","ror":"https://ror.org/05y6rqs46","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I4210159245","https://openalex.org/I4210161954"]},{"id":"https://openalex.org/I4405259482","display_name":"THOTH: Apprentissage de mod\u00e8les visuels \u00e0 partir de donn\u00e9es massives","ror":"https://ror.org/02a2awp29","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210101348","https://openalex.org/I4210149092","https://openalex.org/I4405259482","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4405260846","display_name":"WILLOW: Vision par ordinateur incarn\u00e9e","ror":"https://ror.org/04c96ng72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4405257605","https://openalex.org/I4405260846"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gul Varol","raw_affiliation_strings":["D\u00e9partement d'Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/Inria/CNRS UMR 8548, Paris, France","Thoth - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)","WILLOW - Models of visual object recognition and scene understanding (48 Rue Barrault, 75013 Paris - France)"],"raw_orcid":"https://orcid.org/0000-0002-8438-6152","affiliations":[{"raw_affiliation_string":"D\u00e9partement d'Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/Inria/CNRS UMR 8548, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I29607241","https://openalex.org/I4210161954"]},{"raw_affiliation_string":"Thoth - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)","institution_ids":["https://openalex.org/I4405259482"]},{"raw_affiliation_string":"WILLOW - Models of visual object recognition and scene understanding (48 Rue Barrault, 75013 Paris - France)","institution_ids":["https://openalex.org/I4405260846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087781064","display_name":"Ivan Laptev","orcid":"https://orcid.org/0000-0001-7072-3325","observed_orcids":["https://orcid.org/0000-0001-7072-3325"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I4210161954","display_name":"D\u00e9partement d'Informatique","ror":"https://ror.org/05y6rqs46","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I4210159245","https://openalex.org/I4210161954"]},{"id":"https://openalex.org/I4405260846","display_name":"WILLOW: Vision par ordinateur incarn\u00e9e","ror":"https://ror.org/04c96ng72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4405257605","https://openalex.org/I4405260846"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ivan Laptev","raw_affiliation_strings":["D\u00e9partement d'Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/Inria/CNRS UMR 8548, Paris, France","WILLOW - Models of visual object recognition and scene understanding (48 Rue Barrault, 75013 Paris - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement d'Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/Inria/CNRS UMR 8548, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I29607241","https://openalex.org/I4210161954"]},{"raw_affiliation_string":"WILLOW - Models of visual object recognition and scene understanding (48 Rue Barrault, 75013 Paris - France)","institution_ids":["https://openalex.org/I4405260846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109890544","display_name":"Cordelia Schmid","orcid":"https://orcid.org/0009-0005-7239-3741","observed_orcids":["https://orcid.org/0009-0005-7239-3741"]},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4405259482","display_name":"THOTH: Apprentissage de mod\u00e8les visuels \u00e0 partir de donn\u00e9es massives","ror":"https://ror.org/02a2awp29","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210101348","https://openalex.org/I4210149092","https://openalex.org/I4405259482","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cordelia Schmid","raw_affiliation_strings":["Inria, Inria Grenoble Rh\u00f4ne-Alpes, Laboratoire Jean Kuntzmann, France","Thoth - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, Inria Grenoble Rh\u00f4ne-Alpes, Laboratoire Jean Kuntzmann, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210149092"]},{"raw_affiliation_string":"Thoth - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)","institution_ids":["https://openalex.org/I4405259482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":52.7123,"has_fulltext":true,"cited_by_count":1005,"citation_normalized_percentile":{"value":0.99942504,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"40","issue":"6","first_page":"1510","last_page":"1517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.00019999999494757503,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/human-action-recognition","display_name":"human action recognition","score":0.8059999942779541},{"id":"https://openalex.org/keywords/temporal-convolutional-network","display_name":"temporal convolutional network","score":0.6859999895095825},{"id":"https://openalex.org/keywords/video-representation-learning","display_name":"video representation learning","score":0.8190000057220459},{"id":"https://openalex.org/keywords/optical-flow","display_name":"optical flow","score":0.7620000243186951},{"id":"https://openalex.org/keywords/spatiotemporal-structure","display_name":"spatiotemporal structure","score":0.8069999814033508},{"id":"https://openalex.org/keywords/ucf101","display_name":"UCF101","score":0.8939999938011169},{"id":"https://openalex.org/keywords/hmdb51","display_name":"HMDB51","score":0.9990000128746033}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.8148050308227539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7697710394859314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7078918218612671},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6745169162750244},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6362484693527222},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6027922630310059},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5419150590896606},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5130020976066589},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4485432803630829},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4033068120479584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35110896825790405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34135282039642334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30891844630241394},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tpami.2017.2712608","doi":"https://doi.org/10.1109/tpami.2017.2712608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2712608","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28600238","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28600238","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1604.04494","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1604.04494","pdf_url":"https://arxiv.org/pdf/1604.04494","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-01241518v3","doi":null,"is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01241518","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 40 (6), pp.1510-1517. ⟨10.1109/TPAMI.2017.2712608⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.1604.04494","doi":"https://doi.org/10.48550/arxiv.1604.04494","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1604.04494","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1604.04494","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1604.04494","pdf_url":"https://arxiv.org/pdf/1604.04494","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2235034809.pdf","grobid_xml":"https://content.openalex.org/works/W2235034809.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W136504859","https://openalex.org/W196869106","https://openalex.org/W237546731","https://openalex.org/W787785461","https://openalex.org/W1522734439","https://openalex.org/W1586730761","https://openalex.org/W1606858007","https://openalex.org/W1625255723","https://openalex.org/W1755205674","https://openalex.org/W1849277567","https://openalex.org/W1867429401","https://openalex.org/W1871385855","https://openalex.org/W1920196880","https://openalex.org/W1923404803","https://openalex.org/W1926645898","https://openalex.org/W1944615693","https://openalex.org/W1947481528","https://openalex.org/W2016053056","https://openalex.org/W2034328688","https://openalex.org/W2102605133","https://openalex.org/W2105101328","https://openalex.org/W2108598243","https://openalex.org/W2126579184","https://openalex.org/W2133728753","https://openalex.org/W2134670479","https://openalex.org/W2142194269","https://openalex.org/W2145287260","https://openalex.org/W2147800946","https://openalex.org/W2156303437","https://openalex.org/W2158169396","https://openalex.org/W2163605009","https://openalex.org/W2308045930","https://openalex.org/W2342662179","https://openalex.org/W2342776425","https://openalex.org/W2462996230","https://openalex.org/W2563717578","https://openalex.org/W4249279051","https://openalex.org/W6600983433"],"related_works":["https://openalex.org/W3023755016","https://openalex.org/W2912100719","https://openalex.org/W2963447094","https://openalex.org/W7171951560","https://openalex.org/W3015483809","https://openalex.org/W4396918101","https://openalex.org/W3036534532","https://openalex.org/W2980675012","https://openalex.org/W2963166524","https://openalex.org/W2804268274"],"abstract_inverted_index":{"Typical":[0],"human":[1,123],"actions":[2,43],"last":[3],"several":[4],"seconds":[5],"and":[6,18,95,100,128],"exhibit":[7],"characteristic":[8],"spatio-temporal":[9],"structure.":[10],"Recent":[11],"methods":[12],"attempt":[13],"to":[14,41],"capture":[15],"this":[16,50],"structure":[17],"learn":[19,53],"action":[20,77,112,124],"representations":[21,55],"with":[22,59,69],"convolutional":[23],"neural":[24,57],"networks.":[25],"Such":[26],"representations,":[27,87],"however,":[28],"are":[29],"typically":[30],"learned":[31],"at":[32,44],"the":[33,74,82,102],"level":[34],"of":[35,76,84,92,104],"a":[36],"few":[37],"video":[38,54,93],"frames":[39],"failing":[40],"model":[42],"their":[45],"full":[46],"temporal":[47,61,71],"extent.":[48],"In":[49],"work":[51],"we":[52],"using":[56],"networks":[58],"long-term":[60],"convolutions":[62],"(LTC).":[63],"We":[64,79,114],"demonstrate":[65,101],"that":[66],"LTC-CNN":[67],"models":[68],"increased":[70],"extents":[72],"improve":[73],"accuracy":[75],"recognition.":[78],"also":[80],"study":[81],"impact":[83],"different":[85],"low-level":[86],"such":[88],"as":[89],"raw":[90],"values":[91],"pixels":[94],"optical":[96,106],"flow":[97,107],"vector":[98],"fields":[99],"importance":[103],"high-quality":[105],"estimation":[108],"for":[109,122],"learning":[110],"accurate":[111],"models.":[113],"report":[115],"state-of-the-art":[116],"results":[117],"on":[118],"two":[119],"challenging":[120],"benchmarks":[121],"recognition":[125],"UCF101":[126],"(92.7%)":[127],"HMDB51":[129],"(67.2%).":[130]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":57},{"year":2024,"cited_by_count":51},{"year":2023,"cited_by_count":87},{"year":2022,"cited_by_count":98},{"year":2021,"cited_by_count":158},{"year":2020,"cited_by_count":151},{"year":2019,"cited_by_count":192},{"year":2018,"cited_by_count":131},{"year":2017,"cited_by_count":54},{"year":2016,"cited_by_count":7},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2016-06-24T00:00:00"}