{"id":"https://openalex.org/W2888249290","doi":"https://doi.org/10.1145/3240508.3240713","title":"Deep Adaptive Temporal Pooling for Activity Recognition","display_name":"Deep Adaptive Temporal Pooling for Activity Recognition","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2888249290","doi":"https://doi.org/10.1145/3240508.3240713","mag":"2888249290"},"language":"en","primary_location":{"id":"doi:10.1145/3240508.3240713","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1808.07272","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102334026","display_name":"Sibo Song","orcid":null},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Sibo Song","raw_affiliation_strings":["Singapore University of Technology and Design, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Singapore, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057453537","display_name":"Ngai\u2010Man Cheung","orcid":"https://orcid.org/0000-0003-0135-3791"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ngai-Man Cheung","raw_affiliation_strings":["Singapore University of Technology and Design, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Singapore, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103502228","display_name":"Vijay Chandrasekhar","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Vijay Chandrasekhar","raw_affiliation_strings":["Institute for Infocomm Research, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067464832","display_name":"Bappaditya Mandal","orcid":"https://orcid.org/0000-0001-8417-1410"},"institutions":[{"id":"https://openalex.org/I56007636","display_name":"Keele University","ror":"https://ror.org/00340yn33","country_code":"GB","type":"education","lineage":["https://openalex.org/I56007636"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bappaditya Mandal","raw_affiliation_strings":["Keele University, Keele, Staffordshire, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Keele University, Keele, Staffordshire, United Kingdom","institution_ids":["https://openalex.org/I56007636"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102334026"],"corresponding_institution_ids":["https://openalex.org/I152815399"],"apc_list":null,"apc_paid":null,"fwci":0.9562,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81106608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1829","last_page":"1837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9973999857902527,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8118311166763306},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7456390261650085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7204370498657227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6760265827178955},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5702369213104248},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.536169171333313},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5207417011260986},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4727431535720825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8118311166763306},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7456390261650085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7204370498657227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6760265827178955},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5702369213104248},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.536169171333313},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5207417011260986},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4727431535720825},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3240508.3240713","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1808.07272","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.07272","pdf_url":"https://arxiv.org/pdf/1808.07272","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:eprints.keele.ac.uk:5475","is_oa":true,"landing_page_url":"https://eprints.keele.ac.uk/5475/1/Paper25Jul2018.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402149","display_name":"Keele Research Repository (Keele University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I56007636","host_organization_name":"Keele University","host_organization_lineage":["https://openalex.org/I56007636"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1808.07272","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.07272","pdf_url":"https://arxiv.org/pdf/1808.07272","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W28988658","https://openalex.org/W603908379","https://openalex.org/W1522734439","https://openalex.org/W1536680647","https://openalex.org/W1578985305","https://openalex.org/W1586939924","https://openalex.org/W1595717062","https://openalex.org/W1944615693","https://openalex.org/W1947481528","https://openalex.org/W1966385142","https://openalex.org/W2016053056","https://openalex.org/W2068611653","https://openalex.org/W2105101328","https://openalex.org/W2108333036","https://openalex.org/W2108598243","https://openalex.org/W2126579184","https://openalex.org/W2134797427","https://openalex.org/W2139501017","https://openalex.org/W2142194269","https://openalex.org/W2156303437","https://openalex.org/W2194775991","https://openalex.org/W2235034809","https://openalex.org/W2342662179","https://openalex.org/W2472293097","https://openalex.org/W2507009361","https://openalex.org/W2556024076","https://openalex.org/W2558383949","https://openalex.org/W2558799462","https://openalex.org/W2563717578","https://openalex.org/W2604113307","https://openalex.org/W2608988379","https://openalex.org/W2736596806","https://openalex.org/W2740537152","https://openalex.org/W2746726611","https://openalex.org/W2768919623","https://openalex.org/W2798472916","https://openalex.org/W2952005526","https://openalex.org/W2952565192","https://openalex.org/W2952881492","https://openalex.org/W2963129222","https://openalex.org/W2963155035","https://openalex.org/W2963403868","https://openalex.org/W2963524571","https://openalex.org/W2963575739","https://openalex.org/W2963820951","https://openalex.org/W4234552385","https://openalex.org/W4240153047"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W803346624"],"abstract_inverted_index":{"Deep":[0,48],"neural":[1],"networks":[2],"have":[3],"recently":[4],"achieved":[5],"competitive":[6],"accuracy":[7],"for":[8,16,82],"human":[9],"activity":[10,28,102],"recognition.":[11],"However,":[12],"there":[13],"is":[14,86,94,144],"room":[15],"improvement,":[17],"especially":[18],"in":[19,34],"modeling":[20],"of":[21,30,64,75,97,139],"long-term":[22],"temporal":[23,32,77,147],"importance":[24,74],"and":[25,45,79,114,163],"determining":[26],"the":[27,61,90],"relevance":[29],"different":[31,65,76,115],"segments":[33,148],"a":[35,43,55],"video.":[36],"To":[37],"address":[38],"this":[39],"problem,":[40],"we":[41,156],"propose":[42],"learnable":[44],"differentiable":[46],"module:":[47],"Adaptive":[49],"Temporal":[50],"Pooling":[51],"(DATP).":[52],"DATP":[53,72,85,122,135],"applies":[54],"self-attention":[56],"mechanism":[57],"to":[58,109,125,129],"adaptively":[59],"pool":[60],"classification":[62],"scores":[63],"video":[66,131],"segments.":[67,132],"Specifically,":[68],"using":[69,88],"frame-level":[70,140],"features,":[71],"regresses":[73],"segments,":[78],"generates":[80],"weights":[81,128,152],"them.":[83],"Remarkably,":[84],"trained":[87],"only":[89],"video-level":[91,101],"label.":[92,104],"There":[93],"no":[95],"need":[96],"additional":[98],"supervision":[99],"except":[100],"class":[103],"We":[105],"conduct":[106],"extensive":[107],"experiments":[108],"investigate":[110],"various":[111],"input":[112],"features":[113],"weight":[116],"models.":[117],"Experimental":[118],"results":[119],"show":[120],"that":[121],"can":[123,136],"learn":[124],"assign":[126],"large":[127,151],"key":[130],"More":[133],"importantly,":[134],"improve":[137],"training":[138],"feature":[141],"extractor.":[142],"This":[143],"because":[145],"relevant":[146],"are":[149],"assigned":[150],"during":[153],"back-propagation.":[154],"Overall,":[155],"achieve":[157],"state-of-the-art":[158],"performance":[159],"on":[160],"UCF101,":[161],"HMDB51":[162],"Kinetics":[164],"datasets.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}