{"id":"https://openalex.org/W4307380267","doi":"https://doi.org/10.1145/3568312","title":"Temporal Dynamic Concept Modeling Network for Explainable Video Event Recognition","display_name":"Temporal Dynamic Concept Modeling Network for Explainable Video Event Recognition","publication_year":2022,"publication_date":"2022-10-25","ids":{"openalex":"https://openalex.org/W4307380267","doi":"https://doi.org/10.1145/3568312"},"language":"en","primary_location":{"id":"doi:10.1145/3568312","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3568312","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5014774434","display_name":"Weigang Zhang","orcid":"https://orcid.org/0000-0003-0042-7074"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weigang Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Weihai, China"],"raw_orcid":"https://orcid.org/0000-0003-0042-7074","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044171641","display_name":"Zhaobo Qi","orcid":"https://orcid.org/0000-0001-9196-9818"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaobo Qi","raw_affiliation_strings":["Harbin Institute of Technology, Weihai, China"],"raw_orcid":"https://orcid.org/0000-0001-9196-9818","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669242","display_name":"Shuhui Wang","orcid":"https://orcid.org/0000-0002-5931-0527"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhui Wang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences and Peng Cheng Laboratory, China"],"raw_orcid":"https://orcid.org/0000-0002-5931-0527","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences and Peng Cheng Laboratory, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176","https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012409526","display_name":"Chi Su","orcid":"https://orcid.org/0000-0002-5117-8867"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chi Su","raw_affiliation_strings":["SmartMore, China"],"raw_orcid":"https://orcid.org/0000-0002-5117-8867","affiliations":[{"raw_affiliation_string":"SmartMore, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088659027","display_name":"Li Su","orcid":"https://orcid.org/0000-0003-4038-753X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Su","raw_affiliation_strings":["University of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0003-4038-753X","affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences and Peng Cheng Laboratory, China"],"raw_orcid":"https://orcid.org/0000-0001-7542-296X","affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences and Peng Cheng Laboratory, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210136793","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.081,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.3414306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"19","issue":"6","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9987999796867371,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9908999800682068,"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/interpretability","display_name":"Interpretability","score":0.7969905138015747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7867357730865479},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6655980348587036},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6084339022636414},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5693303346633911},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5520070195198059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5214794874191284},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.45879197120666504},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.44302403926849365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39051738381385803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32544392347335815},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14766204357147217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08055508136749268}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7969905138015747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7867357730865479},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6655980348587036},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6084339022636414},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5693303346633911},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5520070195198059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5214794874191284},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.45879197120666504},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.44302403926849365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39051738381385803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32544392347335815},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14766204357147217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08055508136749268},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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:10.1145/3568312","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3568312","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G6773213747","display_name":null,"funder_award_id":"Z201100006820023","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G7794528701","display_name":null,"funder_award_id":"61976069, U21B2038, 62236008, 62022083, 61836002, and 61931008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"},{"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":61,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1538021842","https://openalex.org/W1777628566","https://openalex.org/W1927052826","https://openalex.org/W2016053056","https://openalex.org/W2048261712","https://openalex.org/W2065636378","https://openalex.org/W2069682406","https://openalex.org/W2117539524","https://openalex.org/W2123049467","https://openalex.org/W2136507825","https://openalex.org/W2171188027","https://openalex.org/W2183341477","https://openalex.org/W2186222003","https://openalex.org/W2194775991","https://openalex.org/W2259890326","https://openalex.org/W2342662179","https://openalex.org/W2472345018","https://openalex.org/W2499974702","https://openalex.org/W2507009361","https://openalex.org/W2520861906","https://openalex.org/W2558799462","https://openalex.org/W2588413703","https://openalex.org/W2596164567","https://openalex.org/W2602753196","https://openalex.org/W2619947201","https://openalex.org/W2732026016","https://openalex.org/W2766251611","https://openalex.org/W2777300582","https://openalex.org/W2800124572","https://openalex.org/W2808087100","https://openalex.org/W2832876791","https://openalex.org/W2900279641","https://openalex.org/W2912684514","https://openalex.org/W2913367694","https://openalex.org/W2926312400","https://openalex.org/W2950746339","https://openalex.org/W2963524571","https://openalex.org/W2963820951","https://openalex.org/W2963878592","https://openalex.org/W2964350391","https://openalex.org/W2990503944","https://openalex.org/W3014565582","https://openalex.org/W3034421924","https://openalex.org/W3036280857","https://openalex.org/W3040018905","https://openalex.org/W3092708970","https://openalex.org/W3111490429","https://openalex.org/W3133092047","https://openalex.org/W3157441214","https://openalex.org/W3206261212","https://openalex.org/W3214910576","https://openalex.org/W4214661601","https://openalex.org/W4236965008","https://openalex.org/W4242473587","https://openalex.org/W4285729260","https://openalex.org/W4301409532","https://openalex.org/W4304084115","https://openalex.org/W4312560592","https://openalex.org/W6685188343","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W4380302312","https://openalex.org/W4390971171","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"Recently,":[0],"with":[1,164,201],"the":[2,28,65,78,83,103,108,115,118,135,142,158,165,195,202,205,240,246,277,285,298,301],"vigorous":[3],"development":[4],"of":[5,27,86,117,160,178,188,204,281,287,300],"deep":[6],"learning":[7],"and":[8,17,23,50,77,82,224,231,242,263,268,284],"multimedia":[9],"technology,":[10],"intelligent":[11],"urban":[12],"computing":[13],"has":[14,88],"received":[15],"more":[16,18,294],"extensive":[19],"attention":[20],"from":[21,168,297],"academia":[22],"industry.":[24],"Unfortunately,":[25],"most":[26],"related":[29],"technologies":[30],"are":[31],"black-box":[32],"paradigms":[33],"that":[34,273],"lack":[35],"interpretability.":[36],"Among":[37],"them,":[38],"video":[39,255],"event":[40,61,99,129,236,256,278],"recognition":[41,62,130,279],"is":[42,114,155],"a":[43,176],"basic":[44],"technology.":[45],"Event":[46],"contains":[47],"multiple":[48,161],"concepts":[49,67,87,126,227],"their":[51],"rich":[52,206],"interactions,":[53],"which":[54,113,181],"can":[55,182,213],"assist":[56],"us":[57,215,291],"to":[58,69,123,140,149,156,216,228,292],"construct":[59,293],"explainable":[60,254,295],"methods.":[63,131],"However,":[64],"crucial":[66,226],"needed":[68],"recognize":[70],"events":[71,81],"have":[72],"various":[73],"temporal":[74,84,109,119,136,143,184,197,219,247,302],"existing":[75],"patterns,":[76],"relationship":[79,207],"between":[80,208],"characteristics":[85],"not":[89],"been":[90],"fully":[91],"exploited.":[92],"This":[93],"brings":[94],"great":[95],"challenges":[96],"for":[97,127,235,253],"concept-based":[98,128,282],"categorization.":[100],"To":[101],"address":[102],"above":[104],"issues,":[105],"we":[106,133,192,244],"introduce":[107,134,245],"concept":[110,144,185,220,233,249,303],"receptive":[111,145,186,221,304],"field,":[112],"length":[116],"window":[120],"size":[121],"required":[122],"capture":[124,217],"key":[125],"Accordingly,":[132],"dynamic":[137,198,248],"convolution":[138,162,173,199],"(TDC)":[139],"model":[141],"field":[146,222],"dynamically":[147],"according":[148],"different":[150,189,209],"events.":[151],"Its":[152],"core":[153],"idea":[154],"combine":[157],"results":[159,271],"layers":[163,174],"learned":[166],"coefficients":[167,212],"two":[169],"complementary":[170],"perspectives.":[171],"These":[172],"contain":[175],"variety":[177],"kernel":[179],"sizes,":[180],"provide":[183],"fields":[187],"lengths.":[190],"Similarly,":[191],"also":[193],"propose":[194],"cross-domain":[196],"(CrTDC)":[200],"help":[203,214],"concepts.":[210],"Different":[211],"suitable":[218],"sizes":[223],"highlight":[225],"obtain":[229],"accurate":[230],"complete":[232],"representations":[234],"analysis.":[237],"Based":[238],"on":[239,261],"TDC":[241],"CrTDC,":[243],"modeling":[250],"network":[251],"(TDCMN)":[252],"recognition.":[257],"We":[258],"evaluate":[259],"TDCMN":[260,274],"large-scale":[262],"challenging":[264],"datasets":[265],"FCVID,":[266],"ActivityNet,":[267],"CCV.":[269],"Experimental":[270],"show":[272],"significantly":[275],"improves":[276],"performance":[280],"methods,":[283],"explainability":[286],"our":[288],"method":[289],"inspires":[290],"models":[296],"perspective":[299],"field.":[305]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}