{"id":"https://openalex.org/W2904666201","doi":"https://doi.org/10.1609/aaai.v33i01.33018497","title":"Attentive Temporal Pyramid Network for Dynamic Scene Classification","display_name":"Attentive Temporal Pyramid Network for Dynamic Scene Classification","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904666201","doi":"https://doi.org/10.1609/aaai.v33i01.33018497","mag":"2904666201"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33018497","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018497","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5184/5056","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5184/5056","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101911936","display_name":"Yuanjun Huang","orcid":"https://orcid.org/0000-0002-9302-0769"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanjun Huang","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038809760","display_name":"Xianbin Cao","orcid":"https://orcid.org/0000-0002-5042-7884"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianbin Cao","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026486701","display_name":"Xiantong Zhen","orcid":"https://orcid.org/0000-0001-5213-0462"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiantong Zhen","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046605531","display_name":"Jungong Han","orcid":"https://orcid.org/0000-0003-4361-956X"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jungong Han","raw_affiliation_strings":["Lancaster University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lancaster University","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.281,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87128875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"33","issue":"01","first_page":"8497","last_page":"8504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9948999881744385,"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":0.9948999881744385,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9937999844551086,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9918000102043152,"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/discriminative-model","display_name":"Discriminative model","score":0.9099383354187012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7821546196937561},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7640553712844849},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7165712118148804},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7079645991325378},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6216837763786316},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5958347916603088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5643013119697571},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5338704586029053},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5025947093963623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39422670006752014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09806284308433533},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06060135364532471}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9099383354187012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7821546196937561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7640553712844849},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7165712118148804},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7079645991325378},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6216837763786316},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5958347916603088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5643013119697571},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5338704586029053},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5025947093963623},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39422670006752014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09806284308433533},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06060135364532471},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33018497","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018497","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5184/5056","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/5184","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/5184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33018497","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018497","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5184/5056","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[{"id":"https://openalex.org/G1783285122","display_name":null,"funder_award_id":"61425014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1783737058","display_name":"\u9762\u5411\u7a7a\u57fa\u76d1\u89c6\u7684\u65f6\u7a7a\u591a\u53d8\u573a\u666f\u4e0b\u8868\u5f81\u5b66\u4e60\u7814\u7a76","funder_award_id":"61871016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2638053330","display_name":null,"funder_award_id":"61425014","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G3362017729","display_name":null,"funder_award_id":"2016YFB1200100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904666201.pdf","grobid_xml":"https://content.openalex.org/works/W2904666201.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1686810756","https://openalex.org/W1927052826","https://openalex.org/W1947481528","https://openalex.org/W2006656585","https://openalex.org/W2048790245","https://openalex.org/W2063492238","https://openalex.org/W2130913433","https://openalex.org/W2156303437","https://openalex.org/W2342726332","https://openalex.org/W2747141180","https://openalex.org/W2750558464","https://openalex.org/W2760998155","https://openalex.org/W2761659801","https://openalex.org/W2762383441","https://openalex.org/W2796196973","https://openalex.org/W6675650955","https://openalex.org/W6676297131","https://openalex.org/W6687483927","https://openalex.org/W6725739302","https://openalex.org/W6737137598"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W4205463238","https://openalex.org/W259157601","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W2797752778","https://openalex.org/W1508039347"],"abstract_inverted_index":{"Dynamic":[0],"scene":[1],"classification":[2],"is":[3],"an":[4],"important":[5],"yet":[6],"challenging":[7],"problem":[8],"especially":[9],"with":[10,80],"the":[11,36,53,69,81,114,121,127,153,159],"presence":[12],"of":[13,46,65,107,116,129,139],"defected":[14],"or":[15],"irrelevant":[16,29],"frames":[17,66],"due":[18],"to":[19,42,73,119,131],"unconstrained":[20],"imaging":[21],"conditions":[22],"such":[23],"as":[24],"illumination,":[25],"camera":[26],"motion":[27],"and":[28,51,56,126,144,152],"background.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34],"propose":[35],"attentive":[37],"temporal":[38,77],"pyramid":[39,78],"network":[40],"(ATP-Net)":[41],"establish":[43],"effective":[44],"representations":[45,106,138],"dynamic":[47,108,140],"scenes":[48,74],"by":[49,75,91],"extracting":[50],"aggregating":[52],"most":[54,70,122],"informative":[55,63],"discriminative":[57,104,137],"features.":[58],"The":[59,110],"proposed":[60,111],"ATP-Net":[61,112],"detects":[62],"features":[64,87,125],"that":[67],"contain":[68],"relevant":[71,123],"information":[72],"a":[76,92,103],"structure":[79],"incorporated":[82],"attention":[83,117],"mechanism.":[84],"These":[85],"frame":[86,124],"are":[88,146],"effectively":[89],"fused":[90],"newly":[93],"designed":[94],"kernel":[95,100],"aggregation":[96],"layer":[97],"based":[98],"on":[99,148,162],"approximation":[101],"into":[102],"holistic":[105],"scenes.":[109,141],"leverages":[113],"strength":[115],"mechanism":[118],"select":[120],"ability":[128],"kernels":[130],"achieve":[132],"optimal":[133],"feature":[134],"fusion":[135],"for":[136],"Extensive":[142],"experiments":[143],"comparisons":[145],"conducted":[147],"three":[149,165],"benchmark":[150,166],"datasets":[151],"results":[154],"show":[155],"our":[156],"superiority":[157],"over":[158],"state-of-the-art":[160],"methods":[161],"all":[163],"these":[164],"datasets.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
