{"id":"https://openalex.org/W2783139164","doi":"https://doi.org/10.1109/tpami.2019.2901464","title":"Moments in Time Dataset: One Million Videos for Event Understanding","display_name":"Moments in Time Dataset: One Million Videos for Event Understanding","publication_year":2019,"publication_date":"2019-02-25","ids":{"openalex":"https://openalex.org/W2783139164","doi":"https://doi.org/10.1109/tpami.2019.2901464","mag":"2783139164","pmid":"https://pubmed.ncbi.nlm.nih.gov/30802849"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2019.2901464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2901464","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":"preprint","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1801.03150","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084885574","display_name":"Mathew Monfort","orcid":"https://orcid.org/0000-0001-6373-5520"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mathew Monfort","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103033393","display_name":"Carl Vondrick","orcid":"https://orcid.org/0000-0001-5676-2387"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl Vondrick","raw_affiliation_strings":["Columbia University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021257546","display_name":"Aude Oliva","orcid":"https://orcid.org/0000-0002-6920-914X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aude Oliva","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027649744","display_name":"Alex Andonian","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Andonian","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033444412","display_name":"Bolei Zhou","orcid":"https://orcid.org/0000-0003-4030-0684"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bolei Zhou","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109219081","display_name":"Kandan Ramakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kandan Ramakrishnan","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001574028","display_name":"Sarah Adel Bargal","orcid":"https://orcid.org/0000-0003-3157-0412"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sarah Adel Bargal","raw_affiliation_strings":["Boston University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Boston University, Boston, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066163802","display_name":"Tom Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tom Yan","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087565623","display_name":"Lisa M. Brown","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lisa Brown","raw_affiliation_strings":["IBM Research, Armonk, USA","MIT-IBM Watson AI Lab, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Armonk, USA","institution_ids":[]},{"raw_affiliation_string":"MIT-IBM Watson AI Lab, Cambridge, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114069812","display_name":"Quanfu Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanfu Fan","raw_affiliation_strings":["IBM Research, Armonk, USA","MIT-IBM Watson AI Lab, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Armonk, USA","institution_ids":[]},{"raw_affiliation_string":"MIT-IBM Watson AI Lab, Cambridge, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dan Gutfreund","orcid":"https://orcid.org/0000-0001-5101-4443"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Gutfreund","raw_affiliation_strings":["IBM Research, Armonk, USA","MIT-IBM Watson AI Lab, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Armonk, USA","institution_ids":[]},{"raw_affiliation_string":"MIT-IBM Watson AI Lab, Cambridge, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5084885574"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":5.8234,"has_fulltext":true,"cited_by_count":88,"citation_normalized_percentile":{"value":0.96878793,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"42","issue":"2","first_page":"502","last_page":"508"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.996399998664856,"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":0.7496557235717773},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6184242367744446},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6040853261947632},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.549975574016571},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.53055739402771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.50209641456604},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.49543821811676025},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.493068665266037},{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.4592243731021881},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4512837529182434},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4511867165565491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38885077834129333},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1624262034893036},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12388086318969727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7496557235717773},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6184242367744446},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6040853261947632},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.549975574016571},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.53055739402771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.50209641456604},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.49543821811676025},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.493068665266037},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.4592243731021881},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4512837529182434},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4511867165565491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38885077834129333},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1624262034893036},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12388086318969727},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1109/tpami.2019.2901464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2901464","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:30802849","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30802849","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:1801.03150","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1801.03150","pdf_url":"https://arxiv.org/pdf/1801.03150","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":"mag:2783139164","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1801.03150.pdf","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1801.03150","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1801.03150","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1801.03150","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1801.03150","pdf_url":"https://arxiv.org/pdf/1801.03150","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":[{"id":"https://openalex.org/G3766682060","display_name":null,"funder_award_id":"D17PC00341","funder_id":"https://openalex.org/F4320333452","funder_display_name":"Interior Business Center"},{"id":"https://openalex.org/G781415756","display_name":null,"funder_award_id":"D17PC00341","funder_id":"https://openalex.org/F4320333051","funder_display_name":"Intelligence Advanced Research Projects Activity"}],"funders":[{"id":"https://openalex.org/F4320315934","display_name":"Toyota Research Institute","ror":null},{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"},{"id":"https://openalex.org/F4320333452","display_name":"Interior Business Center","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2783139164.pdf","grobid_xml":"https://content.openalex.org/works/W2783139164.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1146155598","https://openalex.org/W1522734439","https://openalex.org/W1578985305","https://openalex.org/W1579035156","https://openalex.org/W1836465849","https://openalex.org/W1927052826","https://openalex.org/W1947481528","https://openalex.org/W1972567154","https://openalex.org/W1988650444","https://openalex.org/W2003025525","https://openalex.org/W2010399676","https://openalex.org/W2016053056","https://openalex.org/W2024868105","https://openalex.org/W2034328688","https://openalex.org/W2038484192","https://openalex.org/W2063153269","https://openalex.org/W2086384421","https://openalex.org/W2088911157","https://openalex.org/W2115792525","https://openalex.org/W2119799051","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2134670479","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2302255633","https://openalex.org/W2324891490","https://openalex.org/W2403954725","https://openalex.org/W2462996230","https://openalex.org/W2524365899","https://openalex.org/W2593116425","https://openalex.org/W2618799552","https://openalex.org/W2619947201","https://openalex.org/W2625366777","https://openalex.org/W2732026016","https://openalex.org/W2770804203","https://openalex.org/W2775771349","https://openalex.org/W2798711578","https://openalex.org/W2949251039","https://openalex.org/W2949901290","https://openalex.org/W2950971447","https://openalex.org/W2952558884","https://openalex.org/W2962756039","https://openalex.org/W2963524571","https://openalex.org/W2963729528","https://openalex.org/W4213346165","https://openalex.org/W4237044863","https://openalex.org/W4249279051","https://openalex.org/W6600983433","https://openalex.org/W6634589335","https://openalex.org/W6638667902","https://openalex.org/W6677337689","https://openalex.org/W6679792166","https://openalex.org/W6682864246","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6698183232","https://openalex.org/W6701496667","https://openalex.org/W6703281212","https://openalex.org/W6724944384","https://openalex.org/W6727253422","https://openalex.org/W6729831399","https://openalex.org/W6738494759","https://openalex.org/W6746798562","https://openalex.org/W6747072023","https://openalex.org/W6955071965","https://openalex.org/W6990068000"],"related_works":["https://openalex.org/W2963524571","https://openalex.org/W24089286","https://openalex.org/W2619947201","https://openalex.org/W2194775991","https://openalex.org/W1522734439","https://openalex.org/W2156303437","https://openalex.org/W2507009361","https://openalex.org/W2126579184","https://openalex.org/W1927052826","https://openalex.org/W2618799552","https://openalex.org/W2524365899","https://openalex.org/W2108598243","https://openalex.org/W2963155035","https://openalex.org/W2337252826","https://openalex.org/W2016053056","https://openalex.org/W1947481528","https://openalex.org/W2962934715","https://openalex.org/W2625366777","https://openalex.org/W2963091558","https://openalex.org/W1983364832"],"abstract_inverted_index":{"We":[0,72],"present":[1],"the":[2,25,74,159],"Moments":[3,127],"in":[4,32,60,65,99,128,141],"Time":[5,129],"Dataset,":[6],"a":[7,134,150,167,171],"large-scale":[8,103],"human-annotated":[9],"collection":[10],"of":[11,77,112,139,161],"one":[12,85],"million":[13],"short":[14],"videos":[15,35],"corresponding":[16],"to":[17,101,132,153,158],"dynamic":[18],"events":[19,40,56,140],"unfolding":[20],"within":[21],"three":[22,120],"seconds.":[23],"Modeling":[24],"spatial-audio-temporal":[26],"dynamics":[27],"even":[28],"for":[29,106],"actions":[30],"occurring":[31],"3":[33],"second":[34],"poses":[36],"many":[37],"challenges:":[38],"meaningful":[39],"do":[41],"not":[42],"include":[43],"only":[44],"people,":[45],"but":[46],"also":[47],"objects,":[48],"animals,":[49],"and":[50,54,67,97,109,118,124,137,144,163],"natural":[51],"phenomena;":[52],"visual":[53,143],"auditory":[55,145],"can":[57,147],"be":[58],"symmetrical":[59],"time":[61],"(\"opening\"":[62],"is":[63,82],"\"closing\"":[64],"reverse),":[66],"either":[68],"transient":[69],"or":[70,87],"sustained.":[71],"describe":[73],"annotation":[75],"process":[76],"our":[78],"dataset":[79],"(each":[80],"video":[81,104],"tagged":[83],"with":[84],"action":[86,107],"activity":[88],"label":[89],"among":[90],"339":[91],"different":[92],"classes),":[93],"analyze":[94],"its":[95],"scale":[96,157],"diversity":[98,138],"comparison":[100],"other":[102],"datasets":[105],"recognition,":[108],"report":[110],"results":[111],"several":[113],"baseline":[114],"models":[115,155],"addressing":[116],"separately,":[117],"jointly,":[119],"modalities:":[121],"spatial,":[122],"temporal":[123],"auditory.":[125],"The":[126],"dataset,":[130],"designed":[131],"have":[133],"large":[135],"coverage":[136],"both":[142],"modalities,":[146],"serve":[148],"as":[149],"new":[151],"challenge":[152],"develop":[154],"that":[156,166],"level":[160],"complexity":[162],"abstract":[164],"reasoning":[165],"human":[168],"processes":[169],"on":[170],"daily":[172],"basis.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":18}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
