{"id":"https://openalex.org/W3160426153","doi":"https://doi.org/10.1109/icassp39728.2021.9413368","title":"Human-Aware Coarse-to-Fine Online Action Detection","display_name":"Human-Aware Coarse-to-Fine Online Action Detection","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3160426153","doi":"https://doi.org/10.1109/icassp39728.2021.9413368","mag":"3160426153"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101704113","display_name":"Zichen Yang","orcid":"https://orcid.org/0000-0003-0471-9728"},"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":"Zichen Yang","raw_affiliation_strings":["Beihang University,IRIP Lab, School of Computer Science and Engineering,Beijing,China","IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,IRIP Lab, School of Computer Science and Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056972984","display_name":"Di Huang","orcid":"https://orcid.org/0000-0002-2412-9330"},"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":"Di Huang","raw_affiliation_strings":["Beihang University,IRIP Lab, School of Computer Science and Engineering,Beijing,China","IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,IRIP Lab, School of Computer Science and Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061215231","display_name":"Jie Qin","orcid":"https://orcid.org/0000-0002-0306-534X"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Jie Qin","raw_affiliation_strings":["Inception Institute of Artificial Intelligence,Abu Dhabi,UAE","Inception Institute of Artificial Intelligence, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I4210116052"]},{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398953","display_name":"Yunhong Wang","orcid":"https://orcid.org/0000-0001-8001-2703"},"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":"Yunhong Wang","raw_affiliation_strings":["Beihang University,IRIP Lab, School of Computer Science and Engineering,Beijing,China","IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,IRIP Lab, School of Computer Science and Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2864,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57997445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2455","last_page":"2459"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.8125715255737305},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.743193507194519},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6429893970489502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5776515007019043},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5547646880149841},{"id":"https://openalex.org/keywords/on-the-fly","display_name":"On the fly","score":0.5382805466651917},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.534213662147522},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5102522373199463},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.42695242166519165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38523802161216736},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3556634485721588},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3203059434890747},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.08046436309814453},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06783473491668701}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8125715255737305},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.743193507194519},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6429893970489502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5776515007019043},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5547646880149841},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.5382805466651917},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.534213662147522},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5102522373199463},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.42695242166519165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38523802161216736},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3556634485721588},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3203059434890747},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.08046436309814453},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06783473491668701},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"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":31,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1947481528","https://openalex.org/W2016776918","https://openalex.org/W2064675550","https://openalex.org/W2068611653","https://openalex.org/W2117539524","https://openalex.org/W2156303437","https://openalex.org/W2194775991","https://openalex.org/W2292288263","https://openalex.org/W2342437993","https://openalex.org/W2471143248","https://openalex.org/W2472970127","https://openalex.org/W2507009361","https://openalex.org/W2560474170","https://openalex.org/W2593722617","https://openalex.org/W2766402183","https://openalex.org/W2800438594","https://openalex.org/W2804379505","https://openalex.org/W2962677524","https://openalex.org/W2963015194","https://openalex.org/W2963150697","https://openalex.org/W2963263347","https://openalex.org/W2963720581","https://openalex.org/W2981998043","https://openalex.org/W2989506443","https://openalex.org/W2990503944","https://openalex.org/W3035130921","https://openalex.org/W3100481960","https://openalex.org/W6637373629","https://openalex.org/W6682864246","https://openalex.org/W6724944384"],"related_works":["https://openalex.org/W4250616939","https://openalex.org/W2080322084","https://openalex.org/W1967456564","https://openalex.org/W3010888991","https://openalex.org/W3002990455","https://openalex.org/W4312095940","https://openalex.org/W4287996161","https://openalex.org/W2783980107","https://openalex.org/W3034499084","https://openalex.org/W2588505718"],"abstract_inverted_index":{"In":[0,50],"this":[1,51],"work,":[2],"we":[3,69],"propose":[4],"a":[5,80,84,89],"two-stage":[6],"framework":[7],"to":[8,26,44],"efficiently":[9],"and":[10,59,83],"effectively":[11],"detect":[12],"actions":[13,60,96],"on-the-fly.":[14],"An":[15],"action":[16,40,48],"location":[17],"network":[18,42],"(ALN)":[19],"is":[20,32],"developed":[21],"in":[22],"the":[23,29,35,47,75,116,120],"first":[24],"stage":[25,37],"judge":[27],"whether":[28],"current":[30],"frame":[31],"action-related,":[33],"while":[34],"second":[36],"involves":[38],"an":[39],"classification":[41],"(ACN)":[43],"further":[45],"identify":[46],"category.":[49],"way,":[52],"irrelevant":[53],"negative":[54],"frames":[55],"are":[56,61,97,105],"quickly":[57],"discarded":[58],"detected":[62],"as":[63,65],"early":[64],"they":[66],"occur.":[67],"Moreover,":[68],"highlight":[70],"human":[71,81,85],"areas":[72],"at":[73],"both":[74],"stages":[76],"by":[77],"respectively":[78],"incorporating":[79],"detector":[82],"mask":[86],"layer.":[87],"As":[88],"result,":[90],"more":[91,102],"accurate":[92],"spatial-temporal":[93],"windows":[94],"of":[95,119],"detected,":[98],"based":[99],"on":[100,111],"which":[101],"robust":[103],"features":[104],"extracted":[106],"for":[107],"classification.":[108],"Experimental":[109],"results":[110],"two":[112],"popular":[113],"benchmarks":[114],"demonstrate":[115],"superior":[117],"performance":[118],"proposed":[121],"approach.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
