{"id":"https://openalex.org/W3101721617","doi":"https://doi.org/10.1609/aaai.v35i3.16276","title":"DASZL: Dynamic Action Signatures for Zero-shot Learning","display_name":"DASZL: Dynamic Action Signatures for Zero-shot Learning","publication_year":2021,"publication_date":"2021-05-18","ids":{"openalex":"https://openalex.org/W3101721617","doi":"https://doi.org/10.1609/aaai.v35i3.16276","mag":"3101721617"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v35i3.16276","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i3.16276","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/16276/16083","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/16276/16083","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101524550","display_name":"Tae Soo Kim","orcid":"https://orcid.org/0000-0001-9052-9140"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tae Soo Kim","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055411060","display_name":"Jonathan D. Jones","orcid":"https://orcid.org/0000-0002-0605-8428"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Jones","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082015656","display_name":"Michael Peven","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Peven","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065750423","display_name":"Zihao Xiao","orcid":"https://orcid.org/0000-0002-2240-2778"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zihao Xiao","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103052318","display_name":"Jin Bai","orcid":"https://orcid.org/0000-0002-0653-0542"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin Bai","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388059","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-9662-7419"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112609395","display_name":"Weichao Qiu","orcid":"https://orcid.org/0009-0004-1254-5865"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weichao Qiu","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086706224","display_name":"Alan Yuille","orcid":"https://orcid.org/0000-0001-5207-9249"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan Yuille","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041383246","display_name":"Gregory D. Hager","orcid":"https://orcid.org/0000-0002-6662-9763"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory D. Hager","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101524550"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0017192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"3","first_page":"1817","last_page":"1826"},"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":0.9951000213623047,"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":0.9842000007629395,"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":0.7498918771743774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.622669517993927},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6037502288818359},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5997195839881897},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5398428440093994},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5272238254547119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4907923638820648},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.48450276255607605},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.4833230972290039},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4644266366958618},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4302104711532593},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.41563594341278076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38618797063827515},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.2199079394340515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20312482118606567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7498918771743774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.622669517993927},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6037502288818359},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5997195839881897},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5398428440093994},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5272238254547119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4907923638820648},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.48450276255607605},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.4833230972290039},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4644266366958618},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4302104711532593},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.41563594341278076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38618797063827515},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2199079394340515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20312482118606567},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1609/aaai.v35i3.16276","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i3.16276","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/16276/16083","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1912.03613","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.03613","pdf_url":"https://arxiv.org/pdf/1912.03613","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":"doi:10.48550/arxiv.1912.03613","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1912.03613","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"},{"id":"mag:3101721617","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.1609/aaai.v35i3.16276","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i3.16276","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/16276/16083","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1012231196","display_name":null,"funder_award_id":"D17PC00345","funder_id":"https://openalex.org/F4320333452","funder_display_name":"Interior Business Center"},{"id":"https://openalex.org/G1742310588","display_name":null,"funder_award_id":"1763705","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2181426379","display_name":null,"funder_award_id":"D17PC00345","funder_id":"https://openalex.org/F4320333051","funder_display_name":"Intelligence Advanced Research Projects Activity"},{"id":"https://openalex.org/G5321982477","display_name":null,"funder_award_id":"Titan V GPU","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3101721617.pdf","grobid_xml":"https://content.openalex.org/works/W3101721617.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W43954826","https://openalex.org/W652269744","https://openalex.org/W841113906","https://openalex.org/W1498368596","https://openalex.org/W1815494026","https://openalex.org/W2003723718","https://openalex.org/W2064851185","https://openalex.org/W2100771357","https://openalex.org/W2128158057","https://openalex.org/W2134270519","https://openalex.org/W2141599568","https://openalex.org/W2142900973","https://openalex.org/W2142996775","https://openalex.org/W2153579005","https://openalex.org/W2158188757","https://openalex.org/W2160517719","https://openalex.org/W2170824108","https://openalex.org/W2209594346","https://openalex.org/W2463762378","https://openalex.org/W2491875666","https://openalex.org/W2507611421","https://openalex.org/W2520613337","https://openalex.org/W2550143307","https://openalex.org/W2560129302","https://openalex.org/W2611788449","https://openalex.org/W2740264161","https://openalex.org/W2740825418","https://openalex.org/W2765468404","https://openalex.org/W2772114784","https://openalex.org/W2786010684","https://openalex.org/W2798426954","https://openalex.org/W2893012128","https://openalex.org/W2895918973","https://openalex.org/W2897439619","https://openalex.org/W2901372335","https://openalex.org/W2901751978","https://openalex.org/W2904378456","https://openalex.org/W2908138876","https://openalex.org/W2937176393","https://openalex.org/W2950082793","https://openalex.org/W2962744393","https://openalex.org/W2963152432","https://openalex.org/W2963155035","https://openalex.org/W2963247196","https://openalex.org/W2963405520","https://openalex.org/W2963689837","https://openalex.org/W2963878592","https://openalex.org/W2963960318","https://openalex.org/W2965373098","https://openalex.org/W2973149117","https://openalex.org/W2990152177","https://openalex.org/W3035254087","https://openalex.org/W3100093508","https://openalex.org/W3124887724","https://openalex.org/W6600983433","https://openalex.org/W6735463952","https://openalex.org/W6755199642"],"related_works":["https://openalex.org/W3176125528","https://openalex.org/W3164335275","https://openalex.org/W3195123135","https://openalex.org/W2796497263","https://openalex.org/W2798292345","https://openalex.org/W2987317381","https://openalex.org/W2944739904","https://openalex.org/W3107123124","https://openalex.org/W3116971920","https://openalex.org/W2764078136","https://openalex.org/W2977756520","https://openalex.org/W3144489814","https://openalex.org/W3013939433","https://openalex.org/W3194746126","https://openalex.org/W3133470599","https://openalex.org/W2923819218","https://openalex.org/W3035248626","https://openalex.org/W3021734639","https://openalex.org/W3035374961","https://openalex.org/W2767699072"],"abstract_inverted_index":{"There":[0],"are":[1],"many":[2],"realistic":[3],"applications":[4],"of":[5,11,23,56,108,131,144],"activity":[6,13,71],"recognition":[7,25,50,68],"where":[8,73,101],"the":[9,37,79,95,109,137],"set":[10,31],"potential":[12],"descriptions":[14],"is":[15,32,76],"combinatorially":[16],"large.":[17],"This":[18,60],"makes":[19],"end-to-end":[20],"supervised":[21],"training":[22,30],"a":[24,74,105,122,149],"system":[26],"impractical":[27],"as":[28,54,69],"no":[29,171],"practically":[33],"able":[34],"to":[35,48,65,120,163],"encompass":[36],"entire":[38],"label":[39],"set.":[40],"In":[41],"this":[42,118],"paper,":[43],"we":[44,154,157],"present":[45],"an":[46],"approach":[47,62],"fine-grained":[49,67],"that":[51,156],"models":[52],"activities":[53,132,165],"compositions":[55],"dynamic":[57],"action":[58,146],"signatures.":[59],"compositional":[61],"allows":[63],"us":[64],"reframe":[66],"zero-shot":[70,126],"recognition,":[72],"detector":[75],"composed":[77],"\"on":[78],"fly\"":[80],"from":[81],"simple":[82],"first-principles":[83],"state":[84,107],"machines":[85],"supported":[86],"by":[87],"deep-learned":[88],"components.":[89],"We":[90,115],"evaluate":[91],"our":[92,102],"method":[93,119],"on":[94,148],"Olympic":[96],"Sports":[97],"and":[98,129,135],"UCF101":[99],"datasets,":[100],"model":[103],"establishes":[104],"new":[106],"art":[110],"under":[111],"multiple":[112],"experimental":[113],"paradigms.":[114],"also":[116],"extend":[117],"form":[121],"unique":[123],"framework":[124],"for":[125],"joint":[127],"segmentation":[128],"classification":[130],"in":[133,140,166],"video":[134],"demonstrate":[136],"first":[138],"results":[139],"zero-":[141],"shot":[142],"decoding":[143],"complex":[145],"sequences":[147],"widely-used":[150],"surgical":[151],"dataset.":[152],"Lastly,":[153],"show":[155],"can":[158],"use":[159],"off-the-shelf":[160],"object":[161],"detectors":[162],"recognize":[164],"completely":[167],"de-novo":[168],"settings":[169],"with":[170],"additional":[172],"training.":[173]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}