{"id":"https://openalex.org/W3004645236","doi":"https://doi.org/10.1109/wacv45572.2020.9093404","title":"Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks","display_name":"Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3004645236","doi":"https://doi.org/10.1109/wacv45572.2020.9093404","mag":"3004645236"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.01449","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070398425","display_name":"Maheen Rashid","orcid":"https://orcid.org/0000-0002-0100-3364"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Maheen Rashid","raw_affiliation_strings":["University of California, Davis","Univ. of California Davis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Univ. of California Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021003965","display_name":"Hedvig Kjellstr\u00f6m","orcid":"https://orcid.org/0000-0002-5750-9655"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Hedvig Kjellstrom","raw_affiliation_strings":["KTH Royal Institute of Technology","Royal Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Royal Institute of Technology","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112702739","display_name":"Yong Jae Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Jae Lee","raw_affiliation_strings":["University of California, Davis","Univ. of California Davis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Univ. of California Davis","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070398425"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":0.4903,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64584403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"604","last_page":"613"},"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":0.998199999332428,"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":0.9919999837875366,"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/discriminative-model","display_name":"Discriminative model","score":0.6956108808517456},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6857324242591858},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6191731095314026},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5817646980285645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5528568029403687},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5453294515609741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.544359564781189},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5292669534683228},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.526020348072052},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.48084720969200134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42970210313796997},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2140558660030365},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18177565932273865},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0708361566066742}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6956108808517456},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6857324242591858},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6191731095314026},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5817646980285645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5528568029403687},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5453294515609741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544359564781189},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5292669534683228},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.526020348072052},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48084720969200134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42970210313796997},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2140558660030365},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18177565932273865},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0708361566066742},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"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/wacv45572.2020.9093404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.01449","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.01449","pdf_url":"https://arxiv.org/pdf/2002.01449","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":null,"raw_type":"text"},{"id":"mag:3004645236","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2002.01449.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.2002.01449","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.01449","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:2002.01449","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.01449","pdf_url":"https://arxiv.org/pdf/2002.01449","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":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3004645236.pdf","grobid_xml":"https://content.openalex.org/works/W3004645236.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W262578090","https://openalex.org/W1522301498","https://openalex.org/W1927052826","https://openalex.org/W1983705368","https://openalex.org/W2016208906","https://openalex.org/W2108710284","https://openalex.org/W2119031011","https://openalex.org/W2142194269","https://openalex.org/W2336403884","https://openalex.org/W2337252826","https://openalex.org/W2405487857","https://openalex.org/W2477205648","https://openalex.org/W2519887557","https://openalex.org/W2530494944","https://openalex.org/W2535977253","https://openalex.org/W2600081845","https://openalex.org/W2604113307","https://openalex.org/W2619649711","https://openalex.org/W2772992824","https://openalex.org/W2795410839","https://openalex.org/W2798345491","https://openalex.org/W2799261915","https://openalex.org/W2805516822","https://openalex.org/W2806331055","https://openalex.org/W2884293275","https://openalex.org/W2895240652","https://openalex.org/W2901213409","https://openalex.org/W2902591409","https://openalex.org/W2904023314","https://openalex.org/W2904467795","https://openalex.org/W2950534130","https://openalex.org/W2950962173","https://openalex.org/W2953048415","https://openalex.org/W2962709777","https://openalex.org/W2962916463","https://openalex.org/W2963045696","https://openalex.org/W2963091558","https://openalex.org/W2963218601","https://openalex.org/W2963441581","https://openalex.org/W2963524571","https://openalex.org/W2963570630","https://openalex.org/W2964036161","https://openalex.org/W2964107601","https://openalex.org/W2964216549","https://openalex.org/W2971032914","https://openalex.org/W3010071343","https://openalex.org/W3016452762","https://openalex.org/W6631190155","https://openalex.org/W6703281212","https://openalex.org/W6713601476","https://openalex.org/W6721619513","https://openalex.org/W6746278886","https://openalex.org/W6751796012","https://openalex.org/W6751936687","https://openalex.org/W6753013641","https://openalex.org/W6755209196","https://openalex.org/W6755431558","https://openalex.org/W6756344431","https://openalex.org/W6756656952","https://openalex.org/W6756733096","https://openalex.org/W6760239191"],"related_works":["https://openalex.org/W3009148386","https://openalex.org/W2043377157","https://openalex.org/W2306083202","https://openalex.org/W2476635087","https://openalex.org/W2019566045","https://openalex.org/W1604225334","https://openalex.org/W2162409847","https://openalex.org/W3017083044","https://openalex.org/W2778563281","https://openalex.org/W2528494840","https://openalex.org/W2963258075","https://openalex.org/W2019725986","https://openalex.org/W2012948485","https://openalex.org/W1497428174","https://openalex.org/W3171648925","https://openalex.org/W1995394357","https://openalex.org/W2789372438","https://openalex.org/W2949650729","https://openalex.org/W189748380","https://openalex.org/W2397081216"],"abstract_inverted_index":{"We":[0,110],"present":[1,111],"a":[2,27,112],"method":[3,114,127],"for":[4,149],"weakly-supervised":[5],"action":[6,25,77,152],"localization":[7,106],"based":[8],"on":[9,143],"graph":[10,117],"convolutions.":[11],"In":[12],"order":[13],"to":[14,23,32,59,72,103,119],"find":[15],"and":[16,41,62,107,134,136,147],"classify":[17],"video":[18,53,101,124],"time":[19,36],"segments":[20,37],"that":[21,84,115,131],"correspond":[22],"relevant":[24],"classes,":[26],"system":[28,58],"must":[29],"be":[30],"able":[31],"both":[33,74],"identify":[34,42],"discriminative":[35],"in":[38,68],"each":[39,47],"video,":[40],"the":[43,57,69,82,86,105,138,141],"full":[44,88],"extent":[45],"of":[46,98,140],"action.":[48],"Achieving":[49],"this":[50],"with":[51],"weak":[52],"level":[54],"labels":[55],"requires":[56],"use":[60,97],"similarity":[61,99,122,129],"dissimilarity":[63],"between":[64,100,123],"moments":[65,102],"across":[66],"videos":[67],"training":[70],"data":[71],"understand":[73],"how":[75],"an":[76],"appears,":[78],"as":[79,81],"well":[80],"subactions":[83],"comprise":[85],"action's":[87],"extent.":[89],"However,":[90],"current":[91],"methods":[92],"do":[93],"not":[94],"make":[95],"explicit":[96],"inform":[104],"classification":[108],"predictions.":[109],"novel":[113],"uses":[116],"convolutions":[118],"explicitly":[120],"model":[121],"moments.":[125],"Our":[126],"utilizes":[128],"graphs":[130],"encode":[132],"appearance":[133],"motion,":[135],"pushes":[137],"state":[139],"art":[142],"THUMOS'14,":[144],"ActivityNet":[145],"1.2,":[146],"Charades":[148],"weakly-":[150],"supervised":[151],"localization.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2022-07-26T00:00:00"}
