{"id":"https://openalex.org/W3009965052","doi":"https://doi.org/10.1109/wacv45572.2020.9093283","title":"Weakly-Supervised Multi-Person Action Recognition in 360\u00b0 Videos","display_name":"Weakly-Supervised Multi-Person Action Recognition in 360\u00b0 Videos","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3009965052","doi":"https://doi.org/10.1109/wacv45572.2020.9093283","mag":"3009965052"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-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/A5100608756","display_name":"Junnan Li","orcid":"https://orcid.org/0000-0002-1405-2034"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Junnan Li","raw_affiliation_strings":["School of Computing, National University of Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079797505","display_name":"Jianquan Liu","orcid":"https://orcid.org/0000-0003-4303-9020"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianquan Liu","raw_affiliation_strings":["NEC Corporation"],"affiliations":[{"raw_affiliation_string":"NEC Corporation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109602541","display_name":"Yongkang Wang","orcid":"https://orcid.org/0000-0003-0192-3539"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yongkang Wang","raw_affiliation_strings":["School of Computing, National University of Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043621115","display_name":"Shoji Nishimura","orcid":"https://orcid.org/0000-0001-5975-2002"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shoji Nishimura","raw_affiliation_strings":["NEC Corporation"],"affiliations":[{"raw_affiliation_string":"NEC Corporation","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016415049","display_name":"Mohan Kankanhalli","orcid":"https://orcid.org/0000-0002-4846-2015"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mohan S. Kankanhalli","raw_affiliation_strings":["School of Computing, National University of Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100608756"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":1.5632,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85138133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"497","last_page":"505"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.8468084335327148},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.7349802851676941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7016699314117432},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5863780379295349},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5676274299621582},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.5538861155509949},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47988903522491455},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.46446603536605835},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4108846187591553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.358211874961853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8468084335327148},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.7349802851676941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7016699314117432},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5863780379295349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5676274299621582},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.5538861155509949},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47988903522491455},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.46446603536605835},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4108846187591553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.358211874961853},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/172485","is_oa":false,"landing_page_url":"https://scholarbank.nus.edu.sg/handle/10635/172485","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Elements","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1894570001","https://openalex.org/W1938425378","https://openalex.org/W1944615693","https://openalex.org/W1945608308","https://openalex.org/W1983364832","https://openalex.org/W2027266161","https://openalex.org/W2098287090","https://openalex.org/W2110119381","https://openalex.org/W2133324800","https://openalex.org/W2135533176","https://openalex.org/W2155226385","https://openalex.org/W2156303437","https://openalex.org/W2163034252","https://openalex.org/W2214871046","https://openalex.org/W2296319761","https://openalex.org/W2342662179","https://openalex.org/W2553594924","https://openalex.org/W2558630670","https://openalex.org/W2619947201","https://openalex.org/W2746726611","https://openalex.org/W2765611468","https://openalex.org/W2770383210","https://openalex.org/W2788945907","https://openalex.org/W2798472916","https://openalex.org/W2799261915","https://openalex.org/W2804590496","https://openalex.org/W2890119807","https://openalex.org/W2922078872","https://openalex.org/W2962794823","https://openalex.org/W2962858109","https://openalex.org/W2962934715","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963247196","https://openalex.org/W2963524571","https://openalex.org/W2963616706","https://openalex.org/W2964293202","https://openalex.org/W2982151492","https://openalex.org/W4250589301","https://openalex.org/W6639631275","https://openalex.org/W6680102115","https://openalex.org/W6682864246","https://openalex.org/W6729814214","https://openalex.org/W6746383652","https://openalex.org/W6748831540","https://openalex.org/W6752224375","https://openalex.org/W6753552102","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W618248309","https://openalex.org/W2377336366","https://openalex.org/W1568097102","https://openalex.org/W4390419160","https://openalex.org/W1601203902","https://openalex.org/W2075798043","https://openalex.org/W2102464536","https://openalex.org/W4225671779","https://openalex.org/W1576128429","https://openalex.org/W2269464716"],"abstract_inverted_index":{"The":[0,75,189],"recent":[1],"development":[2],"of":[3,44,71,140,149,184],"commodity":[4],"360\u00b0":[5,49,56],"cameras":[6],"have":[7],"enabled":[8],"a":[9,87,104,123,181],"single":[10],"video":[11,28,124,174],"to":[12,52,116,135],"capture":[13,59],"an":[14],"entire":[15],"scene,":[16],"which":[17,112],"endows":[18],"promising":[19],"potentials":[20],"in":[21,26,47,122,161],"surveillance":[22],"scenarios.":[23],"However,":[24],"research":[25,160],"omnidirectional":[27,81,173],"analysis":[29],"has":[30],"lagged":[31],"behind":[32],"the":[33,41,53,65,69,114,138,141,166,171],"hardware":[34],"advances.":[35],"In":[36],"this":[37,162],"work,":[38],"we":[39,164],"address":[40],"important":[42],"problem":[43],"action":[45,100,128,155,178],"recognition":[46,179],"topview":[48],"videos.":[50],"Due":[51],"wide":[54],"filed-of-view,":[55],"videos":[57,82,85],"usually":[58],"multiple":[60,120],"people":[61,72],"performing":[62],"actions":[63,121],"at":[64,193],"same":[66],"time.":[67],"Furthermore,":[68],"appearance":[70],"are":[73,93],"deformed.":[74],"proposed":[76,142],"framework":[77],"first":[78,172],"transforms":[79],"top-view":[80],"into":[83],"panoramic":[84],"using":[86,95,125],"calibrationfree":[88],"method.":[89],"Then":[90],"spatial-temporal":[91],"features":[92],"extracted":[94],"region-based":[96],"3D":[97],"CNNs":[98],"for":[99,176],"recognition.":[101],"We":[102,132],"propose":[103],"weakly-supervised":[105],"method":[106,143],"based":[107],"on":[108],"multiinstance":[109],"multi-label":[110],"learning,":[111],"trains":[113],"model":[115],"recognize":[117],"and":[118,147,152,187],"localize":[119],"only":[126],"video-level":[127],"labels":[129],"as":[130],"supervision.":[131],"perform":[133],"experiments":[134],"quantitatively":[136],"validate":[137],"efficacy":[139],"over":[144],"state-of-the-art":[145],"baselines":[146],"variants":[148],"our":[150],"model,":[151],"qualitatively":[153],"demonstrate":[154],"localization":[156],"results.":[157],"To":[158],"enable":[159],"direction,":[163],"introduce":[165],"360Action":[167],"dataset.":[168],"It":[169],"is":[170,191],"dataset":[175,190],"multi-person":[177],"with":[180],"diverse":[182],"set":[183],"scenes,":[185],"actors":[186],"actions.":[188],"available":[192],"https://github.com/ryukenzen/360action.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}