{"id":"https://openalex.org/W3016486495","doi":"https://doi.org/10.1109/cvprw50498.2020.00449","title":"Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions","display_name":"Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3016486495","doi":"https://doi.org/10.1109/cvprw50498.2020.00449","mag":"3016486495"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw50498.2020.00449","doi":"https://doi.org/10.1109/cvprw50498.2020.00449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw50498.2020.00449","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.06172","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000544747","display_name":"Kanav Vats","orcid":"https://orcid.org/0000-0002-9515-7259","observed_orcids":["https://orcid.org/0000-0002-9515-7259"]},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kanav Vats","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada","University of WAterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"University of WAterloo","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075251724","display_name":"Mehrnaz Fani","orcid":"https://orcid.org/0000-0003-2859-435X","observed_orcids":["https://orcid.org/0000-0003-2859-435X"]},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mehrnaz Fani","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada","University of WAterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"University of WAterloo","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033899242","display_name":"Pascale Walters","orcid":"https://orcid.org/0000-0003-3512-6116","observed_orcids":["https://orcid.org/0000-0003-3512-6116"]},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pascale Walters","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada","University of WAterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"University of WAterloo","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066149942","display_name":"David A. Clausi","orcid":"https://orcid.org/0000-0002-6383-0875","observed_orcids":["https://orcid.org/0000-0002-6383-0875"]},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David A. Clausi","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada","University of WAterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"University of WAterloo","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077041853","display_name":"John Zelek","orcid":"https://orcid.org/0000-0002-8138-3546","observed_orcids":["https://orcid.org/0000-0002-8138-3546"]},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"John Zelek","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada","University of WAterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"University of WAterloo","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":1.5537,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.88563123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3856","last_page":"3865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.7339000105857849,"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/T11439","display_name":"Video Analysis and Summarization","score":0.7339000105857849,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.25459998846054077,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0017000000225380063,"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/temporal-convolutional-network","display_name":"temporal convolutional network","score":0.8849999904632568},{"id":"https://openalex.org/keywords/ice-hockey","display_name":"ice hockey","score":0.718999981880188},{"id":"https://openalex.org/keywords/soccer","display_name":"soccer","score":0.8460000157356262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8243250846862793},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7879496812820435},{"id":"https://openalex.org/C2993743986","wikidata":"https://www.wikidata.org/wiki/Q41466","display_name":"Ice hockey","level":2,"score":0.6172769665718079},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5658676624298096},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5323116183280945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5312806367874146},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5171020030975342},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.472844660282135},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44821280241012573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3783884346485138},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3252902626991272},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvprw50498.2020.00449","doi":"https://doi.org/10.1109/cvprw50498.2020.00449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw50498.2020.00449","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.06172","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.06172","pdf_url":"https://arxiv.org/pdf/2004.06172","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3016486495","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2004.06172","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2004.06172","doi":"https://doi.org/10.48550/arxiv.2004.06172","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2004.06172","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.06172","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.06172","pdf_url":"https://arxiv.org/pdf/2004.06172","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322675","display_name":"Mitacs","ror":"https://ror.org/00cjrc276"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3016486495.pdf","grobid_xml":"https://content.openalex.org/works/W3016486495.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1836465849","https://openalex.org/W1947481528","https://openalex.org/W2064675550","https://openalex.org/W2108598243","https://openalex.org/W2113929305","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2179042386","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2600081845","https://openalex.org/W2605146214","https://openalex.org/W2618857625","https://openalex.org/W2619082050","https://openalex.org/W2737261106","https://openalex.org/W2738617613","https://openalex.org/W2797664359","https://openalex.org/W2799262584","https://openalex.org/W2895240652","https://openalex.org/W2903192803","https://openalex.org/W2918597803","https://openalex.org/W2934287236","https://openalex.org/W2939927288","https://openalex.org/W2962876901","https://openalex.org/W2963163009","https://openalex.org/W2963287896","https://openalex.org/W2963742915","https://openalex.org/W2964855828","https://openalex.org/W2965088860","https://openalex.org/W2967775316","https://openalex.org/W2993455314"],"related_works":["https://openalex.org/W4417098254","https://openalex.org/W4310623302","https://openalex.org/W3180819615","https://openalex.org/W4226055679","https://openalex.org/W4417459510","https://openalex.org/W2072857982","https://openalex.org/W3121970562","https://openalex.org/W3157962320","https://openalex.org/W4407909813","https://openalex.org/W2584304579"],"abstract_inverted_index":{"In":[0],"problems":[1],"such":[2,40],"as":[3,41],"sports":[4,39,212],"video":[5,29],"analytics,":[6],"it":[7],"is":[8,33,125],"difficult":[9],"to":[10,96,103,188],"obtain":[11],"accurate":[12],"frame":[13],"level":[14],"annotations":[15,45,156],"and":[16,25,55,108,142,157,182],"exact":[17,105],"event":[18,63,106,131,143,161,209],"duration":[19],"because":[20],"of":[21,28,62,86,114,168,191],"the":[22,60,78,84,99,104,112,115,139,148,166,169,179,189,192,195],"lengthy":[23],"videos":[24,137],"sheer":[26],"volume":[27],"data.":[30],"This":[31],"issue":[32],"even":[34],"more":[35,53,205],"pronounced":[36],"in":[37,65,133,138,145,211],"fast-paced":[38],"ice":[42],"hockey.":[43],"Obtaining":[44],"on":[46,127,147,178,194],"a":[47,71,173],"coarse":[48],"scale":[49],"can":[50],"be":[51],"much":[52],"practical":[54,206],"time":[56],"efficient.":[57],"We":[58,69,110,198],"propose":[59],"task":[61],"detection":[64,132,210],"coarsely":[66,134],"annotated":[67,135],"videos.":[68],"introduce":[70],"multi-tower":[72],"temporal":[73,94],"convolutional":[74],"network":[75,170],"architecture":[76,118],"for":[77,98,208],"proposed":[79],"task.":[80],"The":[81,123,151],"network,":[82],"with":[83,101],"help":[85,203],"multiple":[87],"receptive":[88],"fields,":[89],"processes":[90],"information":[91],"at":[92],"various":[93],"scales":[95],"account":[97],"uncertainty":[100],"regard":[102],"location":[107],"duration.":[109],"demonstrate":[111,165],"effectiveness":[113,167],"multi-receptive":[116],"field":[117],"through":[119],"appropriate":[120],"ablation":[121],"studies.":[122],"method":[124],"evaluated":[126],"two":[128,152],"tasks":[129],"-":[130],"hockey":[136],"NHL":[140,180],"dataset":[141,181],"spotting":[144],"soccer":[146],"SoccerNet":[149,196],"dataset.":[150,197],"datasets":[153],"lack":[154],"frame-level":[155],"have":[158],"very":[159],"distinct":[160],"frequencies.":[162],"Experimental":[163],"results":[164],"by":[171,183],"obtaining":[172],"55%":[174],"average":[175],"F1":[176],"score":[177],"achieving":[184],"competitive":[185],"performance":[186],"compared":[187],"state":[190],"art":[193],"believe":[199],"our":[200],"approach":[201],"will":[202],"develop":[204],"pipelines":[207],"video.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-04-24T00:00:00"}