{"id":"https://openalex.org/W4372037321","doi":"https://doi.org/10.1109/tcsvt.2023.3272891","title":"Collaborative Foreground, Background, and Action Modeling Network for Weakly Supervised Temporal Action Localization","display_name":"Collaborative Foreground, Background, and Action Modeling Network for Weakly Supervised Temporal Action Localization","publication_year":2023,"publication_date":"2023-05-04","ids":{"openalex":"https://openalex.org/W4372037321","doi":"https://doi.org/10.1109/tcsvt.2023.3272891"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3272891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3272891","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","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/A5004221027","display_name":"Md Moniruzzaman","orcid":"https://orcid.org/0000-0003-3217-5094"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md. Moniruzzaman","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080054465","display_name":"Zhaozheng Yin","orcid":"https://orcid.org/0000-0002-9602-6488"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhaozheng Yin","raw_affiliation_strings":["Department of Computer Science and the Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and the Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004221027"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":2.9713,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92872894,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"33","issue":"11","first_page":"6939","last_page":"6951"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8702783584594727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7089412212371826},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6574398279190063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109008193016052},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5263713002204895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5061580538749695},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34962254762649536}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8702783584594727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7089412212371826},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6574398279190063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109008193016052},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5263713002204895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5061580538749695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34962254762649536},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3272891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3272891","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1307676185","display_name":null,"funder_award_id":"CMMI-1954548","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1981149963","display_name":null,"funder_award_id":"ECCS-2025929","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1927052826","https://openalex.org/W2007964100","https://openalex.org/W2106229755","https://openalex.org/W2156360858","https://openalex.org/W2336589871","https://openalex.org/W2411715258","https://openalex.org/W2523803202","https://openalex.org/W2529163075","https://openalex.org/W2593722617","https://openalex.org/W2600144439","https://openalex.org/W2604113307","https://openalex.org/W2757143884","https://openalex.org/W2766402183","https://openalex.org/W2884293275","https://openalex.org/W2895240652","https://openalex.org/W2905099632","https://openalex.org/W2948229620","https://openalex.org/W2952435096","https://openalex.org/W2962677524","https://openalex.org/W2962709777","https://openalex.org/W2962876901","https://openalex.org/W2963037989","https://openalex.org/W2963045696","https://openalex.org/W2963247196","https://openalex.org/W2963524571","https://openalex.org/W2964008341","https://openalex.org/W2964036161","https://openalex.org/W2964214371","https://openalex.org/W2964216549","https://openalex.org/W2964274719","https://openalex.org/W2978379593","https://openalex.org/W2984619425","https://openalex.org/W2985134635","https://openalex.org/W2988098865","https://openalex.org/W2997410994","https://openalex.org/W2998601171","https://openalex.org/W2998702159","https://openalex.org/W3035585099","https://openalex.org/W3092976396","https://openalex.org/W3097664769","https://openalex.org/W3100481960","https://openalex.org/W3106250896","https://openalex.org/W3109715102","https://openalex.org/W3109986575","https://openalex.org/W3112040205","https://openalex.org/W3118479201","https://openalex.org/W3149230594","https://openalex.org/W3159280076","https://openalex.org/W3170414130","https://openalex.org/W3172837290","https://openalex.org/W3173212682","https://openalex.org/W3173698268","https://openalex.org/W3173874725","https://openalex.org/W3174421047","https://openalex.org/W3174511093","https://openalex.org/W3178036208","https://openalex.org/W3202076256","https://openalex.org/W3203848195","https://openalex.org/W3214808272","https://openalex.org/W4226500165","https://openalex.org/W4226501520","https://openalex.org/W4230270698","https://openalex.org/W4289367614","https://openalex.org/W4293094783","https://openalex.org/W4301963599","https://openalex.org/W4312383773","https://openalex.org/W4312421085","https://openalex.org/W4312578992","https://openalex.org/W6620707391","https://openalex.org/W6755402806","https://openalex.org/W6775653918","https://openalex.org/W6785652829","https://openalex.org/W6793520193","https://openalex.org/W6794564153","https://openalex.org/W6809666196"],"related_works":["https://openalex.org/W2965546495","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/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W2082783427"],"abstract_inverted_index":{"In":[0,128],"this":[1,129],"paper,":[2,130],"we":[3,131,355],"explore":[4],"the":[5,14,19,46,61,85,93,100,110,145,149,157,161,170,182,187,193,207,222,235,252,255,258,271,281,293,296,303,306,309,323,330,337,350],"problem":[6],"of":[7,22,76,95,225,267,319,352],"Weakly-supervised":[8],"Temporal":[9],"Action":[10,139],"Localization":[11],"(W-TAL),":[12],"where":[13],"task":[15],"is":[16,54],"to":[17,84,92,143,205,211],"localize":[18,156],"temporal":[20,96,172],"boundaries":[21],"all":[23],"action":[24,41,48,78,87,112,173,195,218,232,265],"instances":[25],"in":[26,82,98,121,287],"an":[27],"untrimmed":[28],"video":[29,208,289],"with":[30,179],"only":[31],"video-level":[32],"supervision.":[33],"The":[34,67,201,245,366],"existing":[35],"W-TAL":[36],"methods":[37],"achieve":[38],"a":[39,56,133,288],"good":[40],"localization":[42],"performance":[43,58],"by":[44,275,327],"separating":[45],"discriminative":[47,86,150,162,282,331],"and":[49,63,79,88,109,124,138,151,155,163,192,196,220,249,257,283,300,308,332,341,364],"background":[50,80,89,102,146,188,197,243,317,334],"frames.":[51,90,335],"However,":[52],"there":[53,73],"still":[55],"large":[57],"gap":[59],"between":[60,247,254,298,305,339],"weakly":[62],"fully":[64],"supervised":[65],"methods.":[66],"main":[68],"reason":[69],"comes":[70],"from":[71,234],"that":[72,369],"are":[74],"plenty":[75],"ambiguous":[77,101,111,152,164,284,333],"frames":[81,103,113,166,209,224,286],"addition":[83],"Due":[91],"lack":[94],"annotations":[97],"W-TAL,":[99],"may":[104,114],"be":[105,115],"localized":[106],"as":[107,117,167,290],"foreground":[108,183],"suppressed":[116],"background,":[118],"which":[119,269,321],"result":[120],"false":[122,125,272,324],"positives":[123],"negatives,":[126],"respectively.":[127],"introduce":[132],"novel":[134],"collaborative":[135],"Foreground,":[136],"Background,":[137],"Modeling":[140],"Network":[141],"(FBA-Net)":[142],"suppress":[144],"(i.e.,":[147,159,279],"both":[148,160,280,329],"background)":[153],"frames,":[154],"actual-action-related":[158,278],"action)":[165,285],"foreground,":[168],"for":[169],"precise":[171],"localization.":[174],"We":[175],"design":[176],"our":[177,353,370],"FBA-Net":[178,371],"three":[180],"branches:":[181],"modeling":[184,189,198],"(FM)":[185],"branch,":[186,191],"(BM)":[190],"class-specific":[194],"(CM)":[199],"branch.":[200],"CM":[202,250,301],"branch":[203],"learns":[204],"highlight":[206],"related":[210],"<inline-formula":[212,226,236,259,310],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[213,227,237,260,311],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[214,228,238,261,312],"<tex-math":[215,229,239,262,313],"notation=\"LaTeX\">$C$":[216,230,263],"</tex-math></inline-formula>":[217,231,241,264,315],"classes,":[219],"separate":[221],"action-related":[223],"classes":[233,266],"notation=\"LaTeX\">$(C+1)$":[240,314],"th":[242,316],"class.":[244],"collaboration":[246,297,338],"FM":[248,256,340],"regularizes":[251,302],"consistency":[253,304],"CM,":[268,320],"reduces":[270,322],"negative":[273],"rate":[274,326],"localizing":[276],"different":[277],"foreground.":[291],"On":[292],"other":[294],"hand,":[295],"BM":[299,307,342],"class":[318],"positive":[325],"suppressing":[328],"Furthermore,":[336],"enforces":[343],"more":[344],"effective":[345],"foreground-background":[346],"separation.":[347],"To":[348],"evaluate":[349],"effectiveness":[351],"FBA-Net,":[354],"perform":[356],"extensive":[357],"experiments":[358,367],"on":[359],"two":[360],"challenging":[361],"datasets,":[362],"THUMOS14":[363],"ActivityNet1.3.":[365],"show":[368],"attains":[372],"superior":[373],"results.":[374]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
