{"id":"https://openalex.org/W3024986187","doi":"https://doi.org/10.1109/wacvw50321.2020.9096926","title":"Summary of the 2019 Activity Detection in Extended Videos Prize Challenge","display_name":"Summary of the 2019 Activity Detection in Extended Videos Prize Challenge","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3024986187","doi":"https://doi.org/10.1109/wacvw50321.2020.9096926","mag":"3024986187"},"language":"en","primary_location":{"id":"doi:10.1109/wacvw50321.2020.9096926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacvw50321.2020.9096926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Applications of Computer Vision Workshops (WACVW)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062913687","display_name":"Yooyoung Lee","orcid":"https://orcid.org/0000-0001-8785-273X"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yooyoung Lee","raw_affiliation_strings":["National Institute of Standards and Technology, Gaithersburg, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology, Gaithersburg, MD","institution_ids":["https://openalex.org/I1321296531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109415514","display_name":"Jon Fiscus","orcid":null},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jon Fiscus","raw_affiliation_strings":["National Institute of Standards and Technology, Gaithersburg, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology, Gaithersburg, MD","institution_ids":["https://openalex.org/I1321296531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109896542","display_name":"Afzal Godil","orcid":null},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Afzal Godil","raw_affiliation_strings":["National Institute of Standards and Technology, Gaithersburg, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology, Gaithersburg, MD","institution_ids":["https://openalex.org/I1321296531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068375429","display_name":"Andrew Delgado","orcid":null},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Delgado","raw_affiliation_strings":["National Institute of Standards and Technology, Gaithersburg, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology, Gaithersburg, MD","institution_ids":["https://openalex.org/I1321296531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085659014","display_name":"Jim Golden","orcid":null},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jim Golden","raw_affiliation_strings":["National Institute of Standards and Technology, Gaithersburg, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology, Gaithersburg, MD","institution_ids":["https://openalex.org/I1321296531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056383057","display_name":"Lukas Diduch","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lukas Diduch","raw_affiliation_strings":["Dakota Consulting Inc, Silver Spring, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dakota Consulting Inc, Silver Spring, MD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041171508","display_name":"Maxime Hubert","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]},{"id":"https://openalex.org/I4400009052","display_name":"Thales Alenia Space (France)","ror":"https://ror.org/05gz77z03","country_code":null,"type":"company","lineage":["https://openalex.org/I2802798279","https://openalex.org/I4210140930","https://openalex.org/I4400009052"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maxime Hubert","raw_affiliation_strings":["Thal\u00e8s Alenia Space, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thal\u00e8s Alenia Space, Toulouse, France","institution_ids":["https://openalex.org/I4210140930","https://openalex.org/I4400009052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"148","last_page":"154"},"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":0.996399998664856,"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":0.9958999752998352,"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":0.7933868169784546},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7521466016769409},{"id":"https://openalex.org/keywords/activity-detection","display_name":"Activity detection","score":0.6979942321777344},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6625158786773682},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.6050825715065002},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5629887580871582},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4948541522026062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.455606609582901},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34144654870033264},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32517433166503906},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.29739463329315186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7933868169784546},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7521466016769409},{"id":"https://openalex.org/C2988656282","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity detection","level":2,"score":0.6979942321777344},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6625158786773682},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.6050825715065002},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5629887580871582},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4948541522026062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.455606609582901},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34144654870033264},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32517433166503906},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.29739463329315186},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacvw50321.2020.9096926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacvw50321.2020.9096926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Applications of Computer Vision Workshops (WACVW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4099999964237213,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1586405805","https://openalex.org/W1927052826","https://openalex.org/W2016053056","https://openalex.org/W2124781496","https://openalex.org/W2126579184","https://openalex.org/W2141461755","https://openalex.org/W2142996775","https://openalex.org/W2618799552","https://openalex.org/W2913666011","https://openalex.org/W2953302270","https://openalex.org/W2994508843","https://openalex.org/W3044021461","https://openalex.org/W6600983433","https://openalex.org/W6765374389","https://openalex.org/W6766691825"],"related_works":["https://openalex.org/W3158763334","https://openalex.org/W2896666051","https://openalex.org/W2944566775","https://openalex.org/W2279827266","https://openalex.org/W2880976449","https://openalex.org/W3195649134","https://openalex.org/W3135769773","https://openalex.org/W1983447325","https://openalex.org/W2003968596","https://openalex.org/W4313039464"],"abstract_inverted_index":{"Despite":[0],"previous":[1],"data":[2,113,146],"collection":[3],"efforts":[4],"and":[5,64,89,110,117,120,161,172,178],"benchmark":[6],"studies,":[7],"progress":[8],"in":[9,39,79,175],"activity":[10,60,76],"detection":[11,38,61,68,77],"technologies":[12],"has":[13],"been":[14],"slow,":[15],"especially":[16],"with":[17,102,137],"applications":[18],"that":[19,45],"meet":[20],"practical":[21],"needs":[22],"for":[23,127,143,153],"the":[24,33,36,53,67,73,87,96,128,133,144,164,176,194],"video":[25],"analytics":[26],"domain.":[27],"In":[28,155],"this":[29,156],"paper,":[30,157],"we":[31,82,158],"discuss":[32],"results":[34,160],"from":[35,163,170],"Activity":[37],"Extended":[40,135],"Video":[41,116,136],"Prize":[42],"Challenge":[43],"(ActEV-PC)":[44],"was":[46,55,125,141],"sponsored":[47],"by":[48,187],"IARPA.":[49],"The":[50,115,189],"goal":[51],"of":[52,75],"ActEV-PC":[54,166],"to":[56,65,86],"promote":[57],"robust":[58],"automatic":[59],"system":[62],"development":[63],"reduce":[66],"error":[69],"rate.":[70],"To":[71],"examine":[72],"ability":[74],"systems":[78],"different":[80,104],"aspects,":[81],"opened":[83],"a":[84,93,111,183],"competition":[85],"public":[88],"ran":[90],"evaluations":[91],"(as":[92],"task":[94],"under":[95],"ActivityNet":[97,195],"workshop":[98],"at":[99,193,197],"CVPR":[100,198],"2019)":[101],"two":[103],"phases:":[105],"an":[106],"open":[107,129],"leaderboard":[108,130],"evaluation":[109,131],"sequestered":[112,145],"evaluation.":[114,147],"Image":[118],"Retrieval":[119],"Analysis":[121],"Tool":[122],"(VIRAT)":[123],"dataset":[124,140],"used":[126,142],"while":[132],"Multiview":[134],"Activities":[138],"(MEVA)":[139],"Eighteen":[148,168],"target":[149],"activities":[150],"were":[151,191],"defined":[152],"detection.":[154],"present":[159],"findings":[162],"two-phase":[165],"competition.":[167],"teams":[169],"academia":[171],"industry":[173],"participated":[174],"competitions":[177],"three":[179],"top":[180],"performers":[181],"received":[182],"cash":[184],"award":[185],"(funded":[186],"IARPA).":[188],"winners":[190],"presented":[192],"Workshop":[196],"2019.":[199]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}