{"id":"https://openalex.org/W4319992862","doi":"https://doi.org/10.1109/tpami.2023.3237597","title":"ContextLoc++: A Unified Context Model for Temporal Action Localization","display_name":"ContextLoc++: A Unified Context Model for Temporal Action Localization","publication_year":2023,"publication_date":"2023-01-17","ids":{"openalex":"https://openalex.org/W4319992862","doi":"https://doi.org/10.1109/tpami.2023.3237597","pmid":"https://pubmed.ncbi.nlm.nih.gov/37021919"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3237597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3237597","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5089950744","display_name":"Zixin Zhu","orcid":"https://orcid.org/0000-0002-3244-9406"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zixin Zhu","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350774","display_name":"Le Wang","orcid":"https://orcid.org/0000-0001-6636-6396"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009121711","display_name":"Wei Tang","orcid":"https://orcid.org/0000-0001-8879-8325"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Tang","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081114810","display_name":"Gang Hua","orcid":"https://orcid.org/0000-0001-9522-6157"},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Hua","raw_affiliation_strings":["Wormpex AI Research, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"Wormpex AI Research, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210108985"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089950744"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.3094,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81973823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"45","issue":"8","first_page":"9504","last_page":"9519"},"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":0.9954000115394592,"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":0.9842000007629395,"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/snippet","display_name":"Snippet","score":0.9804836511611938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8057438731193542},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.65634685754776},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6241092085838318},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5705091953277588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5633254051208496},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4842769503593445},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4784955382347107},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.435491681098938},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4221551716327667},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.42185115814208984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4004732072353363},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.20275485515594482},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.1849587857723236}],"concepts":[{"id":"https://openalex.org/C2777822670","wikidata":"https://www.wikidata.org/wiki/Q1120538","display_name":"Snippet","level":2,"score":0.9804836511611938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8057438731193542},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.65634685754776},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6241092085838318},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5705091953277588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5633254051208496},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4842769503593445},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4784955382347107},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.435491681098938},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4221551716327667},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.42185115814208984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4004732072353363},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.20275485515594482},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.1849587857723236},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3237597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3237597","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37021919","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37021919","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3875897167","display_name":null,"funder_award_id":"2022JC-41","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G6291262105","display_name":null,"funder_award_id":"61976171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7600037353","display_name":null,"funder_award_id":"XTR042021005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8808651841","display_name":null,"funder_award_id":"XTR072022001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W639708223","https://openalex.org/W914561379","https://openalex.org/W1927052826","https://openalex.org/W2056380775","https://openalex.org/W2120019338","https://openalex.org/W2182587296","https://openalex.org/W2593722617","https://openalex.org/W2597958930","https://openalex.org/W2604113307","https://openalex.org/W2619947201","https://openalex.org/W2788474500","https://openalex.org/W2795597953","https://openalex.org/W2884969173","https://openalex.org/W2893390896","https://openalex.org/W2948048211","https://openalex.org/W2949343965","https://openalex.org/W2952435096","https://openalex.org/W2954199749","https://openalex.org/W2962677524","https://openalex.org/W2962876901","https://openalex.org/W2962907723","https://openalex.org/W2963155035","https://openalex.org/W2963247196","https://openalex.org/W2963282966","https://openalex.org/W2963321993","https://openalex.org/W2963457877","https://openalex.org/W2963524571","https://openalex.org/W2963814513","https://openalex.org/W2964008341","https://openalex.org/W2964214371","https://openalex.org/W2964216549","https://openalex.org/W2964274041","https://openalex.org/W2965102465","https://openalex.org/W2983918066","https://openalex.org/W2984478308","https://openalex.org/W2986407524","https://openalex.org/W2990503944","https://openalex.org/W2997314266","https://openalex.org/W2997706915","https://openalex.org/W2998486508","https://openalex.org/W2998582438","https://openalex.org/W3034623254","https://openalex.org/W3035251589","https://openalex.org/W3035503132","https://openalex.org/W3106041614","https://openalex.org/W3109715102","https://openalex.org/W3110589170","https://openalex.org/W3160115453","https://openalex.org/W3172347581","https://openalex.org/W3173459793","https://openalex.org/W3173874725","https://openalex.org/W3174569083","https://openalex.org/W3175078602","https://openalex.org/W3176444885","https://openalex.org/W3176641851","https://openalex.org/W3176853098","https://openalex.org/W3191338014","https://openalex.org/W3202076256","https://openalex.org/W3214808272","https://openalex.org/W4226501520","https://openalex.org/W4230270698","https://openalex.org/W4293519347","https://openalex.org/W4385245566","https://openalex.org/W6600983433","https://openalex.org/W6682864246","https://openalex.org/W6790320674","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2140435402","https://openalex.org/W4285276086","https://openalex.org/W2161633202","https://openalex.org/W2039787362","https://openalex.org/W1750537857","https://openalex.org/W2163490908","https://openalex.org/W2901621883","https://openalex.org/W3022564861","https://openalex.org/W2657488695","https://openalex.org/W2394987862"],"abstract_inverted_index":{"Effectively":[0],"tackling":[1],"the":[2,38,45,68,85,103,110,124,133,163,174,179,186],"problem":[3],"of":[4,74,109,188],"temporal":[5,23,48,88,99],"action":[6,30,153,164,175],"localization":[7,24,49],"(TAL)":[8],"necessitates":[9],"a":[10,81,117],"visual":[11,27],"representation":[12],"that":[13],"jointly":[14],"pursues":[15],"two":[16],"confounding":[17],"goals,":[18],"i.e.,":[19],"fine-grained":[20,72],"discrimination":[21],"for":[22,29],"and":[25,41,64,87,94,135,181],"sufficient":[26],"invariance":[28],"classification.":[31],"We":[32],"address":[33],"this":[34],"challenge":[35],"by":[36,98],"enriching":[37],"local,":[39],"global":[40,104,125,136],"multi-scale":[42,139,146],"contexts":[43,137],"in":[44],"popular":[46],"two-stage":[47],"framework.":[50],"Our":[51],"proposed":[52],"model,":[53],"dubbed":[54],"ContextLoc++,":[55],"can":[56,149],"be":[57],"divided":[58],"into":[59],"three":[60],"sub-networks:":[61],"L-Net,":[62],"G-Net,":[63],"M-Net.":[65],"L-Net":[66],"enriches":[67,102],"local":[69,134],"context":[70,105,119,126],"via":[71,106],"modeling":[73,108],"snippet-level":[75,89],"features,":[76,90],"which":[77],"is":[78],"formulated":[79],"as":[80,92],"query-and-retrieval":[82],"process.":[83],"Furthermore,":[84],"spatial":[86],"functioning":[91],"keys":[93],"values,":[95],"are":[96],"fused":[97],"gating.":[100],"G-Net":[101],"higher-level":[107],"video-level":[111],"representation.":[112],"In":[113],"addition,":[114],"we":[115],"introduce":[116],"novel":[118],"adaptation":[120],"module":[121],"to":[122,127,162],"adapt":[123],"different":[128,152],"proposals.":[129],"M-Net":[130],"further":[131],"fuses":[132],"with":[138,157,169],"proposal":[140],"features.":[141],"Specially,":[142],"proposal-level":[143],"features":[144],"from":[145],"video":[147],"snippets":[148,156,168],"focus":[150,172],"on":[151,173,178],"characteristics.":[154],"Short-term":[155],"fewer":[158],"frames":[159,171],"pay":[160],"attention":[161],"details":[165],"while":[166],"long-term":[167],"more":[170],"variations.":[176],"Experiments":[177],"THUMOS14":[180],"ActivityNet":[182],"v1.3":[183],"datasets":[184],"validate":[185],"efficacy":[187],"our":[189],"method":[190],"against":[191],"existing":[192],"state-of-the-art":[193],"TAL":[194],"algorithms.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
