{"id":"https://openalex.org/W4362514023","doi":"https://doi.org/10.1109/tmm.2023.3263965","title":"Feature Weakening, Contextualization, and Discrimination for Weakly Supervised Temporal Action Localization","display_name":"Feature Weakening, Contextualization, and Discrimination for Weakly Supervised Temporal Action Localization","publication_year":2023,"publication_date":"2023-04-03","ids":{"openalex":"https://openalex.org/W4362514023","doi":"https://doi.org/10.1109/tmm.2023.3263965"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3263965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3263965","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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":false,"raw_author_name":"Md Moniruzzaman","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-3217-5094","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 Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-9602-6488","affiliations":[{"raw_affiliation_string":"Department of Computer Science and 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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":1.0675,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.75104451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"270","last_page":"283"},"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":0.9943000078201294,"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/T12290","display_name":"Human Motion and Animation","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9516655206680298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7940641641616821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7115217447280884},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6982468366622925},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5861506462097168},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.5682564973831177},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5337516069412231},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4715191125869751},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43626153469085693},{"id":"https://openalex.org/keywords/contextualization","display_name":"Contextualization","score":0.4221253991127014}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9516655206680298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7940641641616821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7115217447280884},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6982468366622925},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5861506462097168},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.5682564973831177},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5337516069412231},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4715191125869751},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43626153469085693},{"id":"https://openalex.org/C2780712339","wikidata":"https://www.wikidata.org/wiki/Q5165204","display_name":"Contextualization","level":3,"score":0.4221253991127014},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3263965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3263965","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/G2959287329","display_name":null,"funder_award_id":"CMMI-1954548","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G3852573203","display_name":null,"funder_award_id":"ECCS-2025929","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1927052826","https://openalex.org/W1945209586","https://openalex.org/W2016053056","https://openalex.org/W2519750370","https://openalex.org/W2529163075","https://openalex.org/W2556685112","https://openalex.org/W2593722617","https://openalex.org/W2600144439","https://openalex.org/W2604113307","https://openalex.org/W2751445731","https://openalex.org/W2757143884","https://openalex.org/W2766402183","https://openalex.org/W2792345332","https://openalex.org/W2884293275","https://openalex.org/W2888003147","https://openalex.org/W2895240652","https://openalex.org/W2913950831","https://openalex.org/W2948229620","https://openalex.org/W2951906878","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/W2963524571","https://openalex.org/W2964008341","https://openalex.org/W2964214371","https://openalex.org/W2964216549","https://openalex.org/W2964274719","https://openalex.org/W2977470591","https://openalex.org/W2984619425","https://openalex.org/W2988098865","https://openalex.org/W2990503944","https://openalex.org/W2996173702","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/W3109715102","https://openalex.org/W3109986575","https://openalex.org/W3112040205","https://openalex.org/W3118479201","https://openalex.org/W3128138976","https://openalex.org/W3173212682","https://openalex.org/W3173459793","https://openalex.org/W3173698268","https://openalex.org/W3173874725","https://openalex.org/W3174421047","https://openalex.org/W3174511093","https://openalex.org/W3178036208","https://openalex.org/W3203848195","https://openalex.org/W4226500165","https://openalex.org/W4230270698","https://openalex.org/W4301963599","https://openalex.org/W4312421085","https://openalex.org/W4312578992","https://openalex.org/W4313024697","https://openalex.org/W6682864246","https://openalex.org/W6755402806","https://openalex.org/W6793520193"],"related_works":["https://openalex.org/W3208297503","https://openalex.org/W2905271011","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579"],"abstract_inverted_index":{"Weakly-supervised":[0],"Temporal":[1],"Action":[2],"Localization":[3],"(W-TAL)":[4],"aims":[5],"to":[6,10,49,94,98,113,144,165,203],"train":[7],"a":[8,24,60,68,118,151,178],"model":[9],"localize":[11,100],"all":[12],"action":[13,30,45,83,102,172],"instances":[14,103,173],"potentially":[15],"from":[16,54,140,174],"different":[17,175],"classes":[18,176],"in":[19,104],"an":[20],"untrimmed":[21],"video,":[22],"using":[23],"training":[25,92],"dataset":[26],"that":[27,73,123,156],"has":[28,34],"video-level":[29],"class":[31],"labels":[32],"but":[33],"no":[35],"detailed":[36],"annotations":[37],"on":[38,182],"the":[39,51,55,80,85,91,96,101,114,126,137,159,187,194],"start":[40],"and":[41,76,107,132,149,184,193,196],"end":[42],"timestamps":[43],"of":[44,190],"instances.":[46],"We":[47],"propose":[48],"solve":[50],"W-TAL":[52],"problem":[53],"feature":[56],"learning":[57],"aspect,":[58],"with":[59,136],"new":[61],"architecture,":[62],"termed":[63],"F3-Net,":[64,192],"which":[65],"includes":[66],"(1)":[67],"Feature":[69,119,152],"Weakening":[70],"(FW)":[71],"module":[72,122,155],"can":[74,124,157],"identify":[75],"randomly":[77],"weaken":[78],"either":[79],"most":[81,86,160],"discriminative":[82,87,106,161],"or":[84],"background":[88,115],"features":[89],"over":[90],"iterations":[93],"force":[95],"network":[97],"precisely":[99],"both":[105],"ambiguous":[108],"action-related":[109],"frames,":[110],"without":[111],"spreading":[112],"intervals;":[116],"(2)":[117],"Contextualization":[120],"(FC)":[121],"infer":[125],"global":[127],"contexts":[128,139],"among":[129],"video":[130,142,162],"segments":[131,143],"attentionally":[133],"fuse":[134],"them":[135],"local":[138],"individual":[141],"generate":[145],"more":[146],"representative":[147],"features;":[148],"(3)":[150],"Discrimination":[153],"(FD)":[154],"highlight":[158],"segments/classes":[163],"corresponding":[164],"each":[166],"class/segment,":[167],"respectively,":[168],"for":[169],"localizing":[170],"multiple":[171],"within":[177],"video.":[179],"Experimental":[180],"results":[181],"THUMOS14":[183],"ActivityNet1.3":[185],"demonstrate":[186],"state-of-the-art":[188],"performance":[189],"our":[191],"FW":[195],"FC":[197],"are":[198],"also":[199],"effective":[200],"plug-in":[201],"modules":[202],"improve":[204],"other":[205],"methods.":[206],"This":[207],"project":[208],"will":[209],"be":[210],"available":[211],"athttps://moniruzzamanmd.github.io/F3-Net/":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}