{"id":"https://openalex.org/W3196120769","doi":"https://doi.org/10.1109/icip42928.2021.9506622","title":"Action Relational Graph for Weakly-Supervised Temporal Action Localization","display_name":"Action Relational Graph for Weakly-Supervised Temporal Action Localization","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3196120769","doi":"https://doi.org/10.1109/icip42928.2021.9506622","mag":"3196120769"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/A5001675146","display_name":"Yi Cheng","orcid":"https://orcid.org/0000-0002-5940-0581"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yi Cheng","raw_affiliation_strings":["Institute for Infocomm Research,A&#x002A;STAR,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research,A&#x002A;STAR,Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649794","display_name":"Ying Sun","orcid":"https://orcid.org/0000-0002-7224-6726"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ying Sun","raw_affiliation_strings":["Institute for Infocomm Research,A&#x002A;STAR,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research,A&#x002A;STAR,Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101811045","display_name":"Dongyun Lin","orcid":"https://orcid.org/0000-0002-9694-3454"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dongyun Lin","raw_affiliation_strings":["Institute for Infocomm Research,A&#x002A;STAR,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research,A&#x002A;STAR,Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077258552","display_name":"Joo\u2010Hwee Lim","orcid":"https://orcid.org/0000-0002-4103-3824"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Joo-Hwee Lim","raw_affiliation_strings":["Institute for Infocomm Research,A&#x002A;STAR,Singapore","School of Computer Science and Engineering, NTU, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research,A&#x002A;STAR,Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]},{"raw_affiliation_string":"School of Computer Science and Engineering, NTU, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09773235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2563","last_page":"2567"},"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":0.9909999966621399,"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":0.9868999719619751,"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":0.7949634790420532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7227475643157959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6146822571754456},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6021838188171387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5303232073783875},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5093148946762085},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5020453929901123},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.45326539874076843},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45122355222702026},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1897406280040741},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17023435235023499}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7949634790420532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7227475643157959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6146822571754456},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6021838188171387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5303232073783875},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5093148946762085},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5020453929901123},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.45326539874076843},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45122355222702026},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1897406280040741},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17023435235023499},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1578985305","https://openalex.org/W1927052826","https://openalex.org/W2250539671","https://openalex.org/W2336403884","https://openalex.org/W2604113307","https://openalex.org/W2619947201","https://openalex.org/W2884293275","https://openalex.org/W2895240652","https://openalex.org/W2899771611","https://openalex.org/W2948229620","https://openalex.org/W2962677524","https://openalex.org/W2962709777","https://openalex.org/W2962876901","https://openalex.org/W2963247196","https://openalex.org/W2963524571","https://openalex.org/W2964216549","https://openalex.org/W2984619425","https://openalex.org/W2988098865","https://openalex.org/W2998601171","https://openalex.org/W2998702159","https://openalex.org/W3035524964","https://openalex.org/W3035585099","https://openalex.org/W3109715102","https://openalex.org/W3109986575","https://openalex.org/W6631190155","https://openalex.org/W6751389191","https://openalex.org/W6753013641","https://openalex.org/W6755209196","https://openalex.org/W6756040250","https://openalex.org/W6780930291","https://openalex.org/W6784563639","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W1617617605"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,88,111,141],"weakly-supervised":[3],"temporal":[4],"action":[5,64,89,105,113,145],"localization":[6],"(WTAL)":[7],"is":[8,32,153],"to":[9,34,41,59,102,137,155],"recognize":[10],"plentiful":[11],"unstructured":[12],"actions":[13,24,40],"in":[14,27],"untrimmed":[15,29],"videos":[16],"with":[17,118],"only":[18],"video-level":[19,124],"class":[20],"labels.":[21,65],"As":[22],"various":[23],"may":[25],"occur":[26],"an":[28],"video,":[30],"it":[31],"desirable":[33],"capture":[35],"the":[36,44,61,78,100,104,119,134,139,158,181],"correlation":[37,62],"among":[38],"different":[39],"effectively":[42],"identify":[43],"target":[45],"actions.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,67,98,132],"propose":[51],"a":[52,69,109,142],"novel":[53],"Action":[54,149],"Relational":[55],"Graph":[56,73],"Network":[57,75],"(ARG-Net)":[58],"model":[60,138],"between":[63,93],"Specifically,":[66],"build":[68],"co-occurrence":[70],"graph":[71,79],"using":[72],"Convolutional":[74],"(GCN),":[76],"where":[77],"nodes":[80],"and":[81,91,173],"edges":[82],"are":[83,116],"represented":[84],"by":[85],"word":[86],"embedding":[87],"labels":[90],"relations":[92],"two":[94],"labels,":[95],"respectively.":[96],"Then":[97],"apply":[99],"GCNs":[101],"project":[103],"label":[106],"embeddings":[107],"into":[108],"set":[110],"correlated":[112],"classifiers":[114],"which":[115],"multiplied":[117],"learned":[120],"video":[121,129],"representations":[122],"for":[123],"classification.":[125],"To":[126],"facilitate":[127],"discriminative":[128],"representation":[130],"learning,":[131],"employ":[133],"attention":[135],"mechanism":[136],"probability":[140],"frame":[143],"containing":[144,166],"instances.":[146],"A":[147],"new":[148],"Normalization":[150],"Loss":[151],"(ANL)":[152],"proposed":[154],"further":[156],"alleviate":[157],"confusion":[159],"from":[160],"irrelevant":[161],"background":[162],"frames":[163,165],"(i.e.,":[164],"no":[167],"actions).":[168],"Experimental":[169],"results":[170],"on":[171],"THUMOS14":[172],"ActivityNet1.2":[174],"datasets":[175],"demonstrate":[176],"that":[177],"our":[178],"ARG-Net":[179],"outperforms":[180],"state-of-the-art":[182],"methods.":[183]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
