{"id":"https://openalex.org/W3092976396","doi":"https://doi.org/10.1145/3394171.3413687","title":"Action Completeness Modeling with Background Aware Networks for Weakly-Supervised Temporal Action Localization","display_name":"Action Completeness Modeling with Background Aware Networks for Weakly-Supervised Temporal Action Localization","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3092976396","doi":"https://doi.org/10.1145/3394171.3413687","mag":"3092976396"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","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/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":false,"raw_author_name":"Md Moniruzzaman","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","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":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045519742","display_name":"Zhihai He","orcid":"https://orcid.org/0000-0002-2647-8286"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhihai He","raw_affiliation_strings":["University of Missouri, Columbia, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079918317","display_name":"Ruwen Qin","orcid":"https://orcid.org/0000-0003-2656-8705"},"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":"Ruwen Qin","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082067008","display_name":"Ming C. Leu","orcid":"https://orcid.org/0000-0002-5056-3907"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming C. Leu","raw_affiliation_strings":["Missouri University of Science Technology, Rolla, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Missouri University of Science Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5629,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.92758118,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2166","last_page":"2174"},"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":0.9940000176429749,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8618578910827637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7145346403121948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6288003921508789},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.628595769405365},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5775042176246643},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5298464298248291},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5202075839042664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5017039775848389},{"id":"https://openalex.org/keywords/completeness","display_name":"Completeness (order theory)","score":0.42791682481765747},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4233560562133789},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33481794595718384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25399813055992126}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8618578910827637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7145346403121948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6288003921508789},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.628595769405365},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5775042176246643},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5298464298248291},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5202075839042664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5017039775848389},{"id":"https://openalex.org/C17231256","wikidata":"https://www.wikidata.org/wiki/Q5156540","display_name":"Completeness (order theory)","level":2,"score":0.42791682481765747},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4233560562133789},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33481794595718384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25399813055992126},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3413687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W639708223","https://openalex.org/W1522734439","https://openalex.org/W1536680647","https://openalex.org/W1927052826","https://openalex.org/W1947481528","https://openalex.org/W2016053056","https://openalex.org/W2126579184","https://openalex.org/W2163605009","https://openalex.org/W2507009361","https://openalex.org/W2529163075","https://openalex.org/W2593722617","https://openalex.org/W2597958930","https://openalex.org/W2600144439","https://openalex.org/W2604113307","https://openalex.org/W2766402183","https://openalex.org/W2884293275","https://openalex.org/W2895240652","https://openalex.org/W2948229620","https://openalex.org/W2952186347","https://openalex.org/W2952435096","https://openalex.org/W2962677524","https://openalex.org/W2962709777","https://openalex.org/W2962876901","https://openalex.org/W2963045696","https://openalex.org/W2963247196","https://openalex.org/W2963346885","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/W2988098865","https://openalex.org/W2998702159","https://openalex.org/W3035585099","https://openalex.org/W3100481960","https://openalex.org/W4301409532"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W2032260263","https://openalex.org/W1986883493","https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W2469862403","https://openalex.org/W3103844505","https://openalex.org/W259157601"],"abstract_inverted_index":{"The":[0,42,70,234],"state-of-the-art":[1],"of":[2,244],"fully-supervised":[3],"methods":[4,278],"for":[5,20,279],"temporal":[6,23,280],"action":[7,24,29,68,103,108,155,183,199,205,213,281],"localization":[8],"from":[9,46,230,257],"untrimmed":[10,265],"videos":[11],"has":[12],"achieved":[13],"impressive":[14],"results.":[15],"Yet,":[16],"it":[17],"remains":[18],"unsatisfactory":[19],"the":[21,34,39,48,54,80,96,99,117,179,190,204,216,219,223,231,241,245,258,275],"weakly-supervised":[22,49,118,134,277],"localization,":[25],"where":[26],"only":[27,51],"video-level":[28],"labels":[30],"are":[31,60,76,110,192,227],"given":[32],"without":[33],"timestamp":[35],"annotation":[36],"on":[37,53,262],"when":[38],"actions":[40,89],"occur.":[41],"main":[43],"reason":[44],"comes":[45],"that,":[47],"networks":[50,119],"focus":[52],"highly":[55,171,209],"discriminative":[56,172,210,224,254],"frames,":[57],"but":[58,197],"there":[59],"some":[61],"ambiguous":[62,71,100,174,212],"frames":[63,72,101,176],"in":[64,73,92,102,122,207],"both":[65,170,208],"background":[66,74,175],"and":[67,90,120,163,173,189,211,269],"classes.":[69],"class":[75,104],"very":[77],"similar":[78],"to":[79,112,168,177,194,201,248,252],"real":[81],"actions,":[82],"which":[83,105,226],"may":[84],"be":[85,113],"treated":[86],"as":[87],"target":[88],"result":[91,121],"false":[93,114,180],"positives.":[94,181],"On":[95],"other":[97],"hand,":[98],"possibly":[106],"contain":[107],"instances,":[109],"prone":[111],"negatives":[115],"by":[116],"a":[123,132,149],"coarse":[124],"localization.":[125,282],"To":[126],"solve":[127],"these":[128],"problems,":[129],"we":[130],"introduce":[131],"novel":[133],"Action":[135],"Completeness":[136],"Modeling":[137],"with":[138,153],"Background":[139,144,157],"Aware":[140,145],"Networks":[141],"(ACM-BANets).":[142],"Our":[143,182],"Network":[146],"(BANet)":[147],"contains":[148,186],"weight-sharing":[150],"two-branch":[151],"architecture,":[152],"an":[154,164],"guided":[156],"aware":[158],"Temporal":[159],"Attention":[160],"Module":[161],"(B-TAM)":[162],"asymmetrical":[165],"training":[166],"strategy,":[167],"suppress":[169],"remove":[178],"completeness":[184],"modeling":[185],"multiple":[187],"BANets,":[188],"BANets":[191],"forced":[193],"discover":[195,253],"different":[196,256],"complementary":[198],"instances":[200,206],"completely":[202],"localize":[203],"frames.":[214],"In":[215],"i-th":[217,220,259],"iteration,":[218],"BANet":[221,243,251],"discovers":[222],"features,":[225],"then":[228],"erased":[229],"feature":[232,236],"map.":[233],"partially-erased":[235],"map":[237],"is":[238],"fed":[239],"into":[240],"(i+1)-th":[242],"next":[246],"iteration":[247],"force":[249],"this":[250],"features":[255],"BANet.":[260],"Evaluated":[261],"two":[263],"challenging":[264],"video":[266],"datasets,":[267],"THUMOS14":[268],"ActivityNet1.3,":[270],"our":[271],"approach":[272],"outperforms":[273],"all":[274],"current":[276]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
