{"id":"https://openalex.org/W2892233115","doi":"https://doi.org/10.1109/icip.2018.8451429","title":"Temporal Attention Network for Action Proposal","display_name":"Temporal Attention Network for Action Proposal","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2892233115","doi":"https://doi.org/10.1109/icip.2018.8451429","mag":"2892233115"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100631729","display_name":"Chenyang Liu","orcid":"https://orcid.org/0000-0003-3873-8302"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Liu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729469","display_name":"Xiangyu Xu","orcid":"https://orcid.org/0000-0002-9305-5830"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Xu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100684571","display_name":"Yu\u2010Jin Zhang","orcid":"https://orcid.org/0000-0002-2372-1180"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujin Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2281","last_page":"2285"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9972000122070312,"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":0.9919999837875366,"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":0.8292611837387085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8269233703613281},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8051924705505371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6627968549728394},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.635744035243988},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5984533429145813},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5578125715255737},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5264701843261719},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4618268609046936},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45049890875816345},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42577147483825684},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.423827588558197},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4210221767425537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40040862560272217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07856225967407227}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8292611837387085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8269233703613281},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8051924705505371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6627968549728394},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.635744035243988},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5984533429145813},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5578125715255737},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5264701843261719},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4618268609046936},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45049890875816345},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42577147483825684},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.423827588558197},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4210221767425537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40040862560272217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07856225967407227},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1536680647","https://openalex.org/W1985028918","https://openalex.org/W2095705004","https://openalex.org/W2156303437","https://openalex.org/W2175354415","https://openalex.org/W2271840356","https://openalex.org/W2471143248","https://openalex.org/W2486996822","https://openalex.org/W2519328139","https://openalex.org/W2529163075","https://openalex.org/W2597958930","https://openalex.org/W2755876276","https://openalex.org/W2950527759","https://openalex.org/W2963321993","https://openalex.org/W2963559058","https://openalex.org/W2964121744","https://openalex.org/W2964214371","https://openalex.org/W2964216549","https://openalex.org/W4303633609","https://openalex.org/W6674330103","https://openalex.org/W6682864246","https://openalex.org/W6726711304"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W3119773509","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Temporal":[0,49,58],"action":[1,21],"proposal,":[2],"which":[3,36],"extracts":[4],"segments":[5],"of":[6,41],"interests":[7],"from":[8],"untrimmed":[9],"video,":[10],"is":[11,26,64],"an":[12,93],"important":[13],"step":[14],"for":[15],"video":[16,43,77],"analysis.":[17],"For":[18],"state-of-the-art":[19,114],"temporal":[20,95],"proposal":[22],"methods,":[23],"average":[24],"pooling":[25],"often":[27],"used":[28,91],"to":[29,54,66,97],"aggregate":[30],"features":[31,70],"in":[32],"deep":[33],"neural":[34],"networks,":[35],"inevitably":[37],"ignores":[38],"the":[39,84,100,113],"significances":[40],"different":[42],"clips.":[44],"Therefore,":[45],"we":[46,81],"propose":[47],"a":[48,73],"Attention":[50],"Network":[51],"(TAN)":[52],"model":[53],"address":[55],"this":[56],"issue.":[57],"attention":[59,86],"with":[60],"fully":[61],"connected":[62],"layers":[63],"introduced":[65],"adaptively":[67],"combine":[68],"clip-level":[69],"and":[71,75],"form":[72],"compact":[74],"discriminative":[76],"representation.":[78],"In":[79],"addition,":[80],"show":[82],"that":[83,107],"learned":[85],"weights":[87],"could":[88],"also":[89],"be":[90],"as":[92],"effective":[94],"feature":[96],"further":[98],"improve":[99],"performance.":[101],"Extensive":[102],"experiments":[103],"on":[104],"THUMOS-14":[105],"demonstrate":[106],"our":[108],"algorithm":[109],"performs":[110],"favorably":[111],"against":[112],"methods.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
