{"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","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,"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"},"type":"article","indexed_in":["arxiv","crossref","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"},"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/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/I4210103330","display_name":"\u00c9cole Normale Sup\u00e9rieure","ror":"https://ror.org/01dp7jr64","country_code":"BI","type":"education","lineage":["https://openalex.org/I4210103330"]},{"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/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I4210159245","https://openalex.org/I4210161954"]}],"countries":["BI","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/I29607241","https://openalex.org/I4210103330","https://openalex.org/I1294671590","https://openalex.org/I4210161954"]},{"raw_affiliation_string":"Thoth - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)","institution_ids":[]},{"raw_affiliation_string":"WILLOW - Models of visual object recognition and scene understanding (48 Rue Barrault, 75013 Paris - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087781064","display_name":"Ivan Laptev","orcid":"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/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/I4210103330","display_name":"\u00c9cole Normale Sup\u00e9rieure","ror":"https://ror.org/01dp7jr64","country_code":"BI","type":"education","lineage":["https://openalex.org/I4210103330"]},{"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/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I4210159245","https://openalex.org/I4210161954"]}],"countries":["BI","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/I29607241","https://openalex.org/I4210103330","https://openalex.org/I1294671590","https://openalex.org/I4210161954"]},{"raw_affiliation_string":"WILLOW - Models of visual object recognition and scene understanding (48 Rue Barrault, 75013 Paris - France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109890544","display_name":"Cordelia Schmid","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"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","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/I4210101348","https://openalex.org/I4210149092"]},{"raw_affiliation_string":"Thoth - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":54.7217,"has_fulltext":false,"cited_by_count":954,"citation_normalized_percentile":{"value":0.99962927,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"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":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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9836000204086304,"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/optical-flow","display_name":"Optical flow","score":0.8148050308227539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7697710394859314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7078918218612671},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6745169162750244},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6362484693527222},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6027922630310059},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5419150590896606},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5130020976066589},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4485432803630829},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4033068120479584},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35110896825790405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34135282039642334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30891844630241394}],"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":4,"locations":[{"id":"doi: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,"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","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,"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":null},{"id":"pmh:oai:arXiv.org:1604.04494","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":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01241518v3","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01241518","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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. &#x27E8;10.1109/TPAMI.2017.2712608&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1604.04494","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":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W196869106","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/W1920196880","https://openalex.org/W1923404803","https://openalex.org/W1926645898","https://openalex.org/W1944615693","https://openalex.org/W1947481528","https://openalex.org/W1983364832","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/W2342662179","https://openalex.org/W2342776425","https://openalex.org/W2462996230","https://openalex.org/W2563717578","https://openalex.org/W4249279051","https://openalex.org/W6600983433","https://openalex.org/W6622789128","https://openalex.org/W6636494156","https://openalex.org/W6639204139","https://openalex.org/W6640153615","https://openalex.org/W6640257725","https://openalex.org/W6679792166","https://openalex.org/W6682864246","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2964954556","https://openalex.org/W2762689969","https://openalex.org/W3019910406","https://openalex.org/W4303411729","https://openalex.org/W4386141546","https://openalex.org/W4390190241","https://openalex.org/W4297270893","https://openalex.org/W2577671007","https://openalex.org/W1591216093","https://openalex.org/W2965803933"],"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":9},{"year":2025,"cited_by_count":52},{"year":2024,"cited_by_count":49},{"year":2023,"cited_by_count":83},{"year":2022,"cited_by_count":98},{"year":2021,"cited_by_count":153},{"year":2020,"cited_by_count":155},{"year":2019,"cited_by_count":192},{"year":2018,"cited_by_count":120},{"year":2017,"cited_by_count":41},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
