{"id":"https://openalex.org/W2556685112","doi":"https://doi.org/10.1109/tmm.2016.2626959","title":"Discriminative Multi-instance Multitask Learning for 3D Action Recognition","display_name":"Discriminative Multi-instance Multitask Learning for 3D Action Recognition","publication_year":2016,"publication_date":"2016-11-09","ids":{"openalex":"https://openalex.org/W2556685112","doi":"https://doi.org/10.1109/tmm.2016.2626959","mag":"2556685112"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2016.2626959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2626959","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5035747364","display_name":"Yanhua Yang","orcid":"https://orcid.org/0000-0002-7916-3683"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanhua Yang","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015874725","display_name":"Cheng Deng","orcid":"https://orcid.org/0000-0003-2620-3247"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Deng","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020498118","display_name":"Shangqian Gao","orcid":"https://orcid.org/0000-0001-9699-1790"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shangqian Gao","raw_affiliation_strings":["College of Engineering, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431792","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-3865-8145"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067600725","display_name":"Dapeng Tao","orcid":"https://orcid.org/0000-0003-0783-5273"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Tao","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5035747364"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":8.8511,"has_fulltext":false,"cited_by_count":113,"citation_normalized_percentile":{"value":0.98617125,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"19","issue":"3","first_page":"519","last_page":"529"},"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":0.9950000047683716,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9923999905586243,"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/discriminative-model","display_name":"Discriminative model","score":0.9364168643951416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8122707605361938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7565377950668335},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6922735571861267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5831275582313538},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5560064315795898},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5403890609741211},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5094991326332092},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4705382287502289},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45397308468818665},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4161859452724457}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9364168643951416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8122707605361938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7565377950668335},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6922735571861267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5831275582313538},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5560064315795898},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5403890609741211},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5094991326332092},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4705382287502289},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45397308468818665},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4161859452724457},{"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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/tmm.2016.2626959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2626959","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G167722907","display_name":null,"funder_award_id":"61432014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6777872865","display_name":null,"funder_award_id":"61572388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":79,"referenced_works":["https://openalex.org/W203345490","https://openalex.org/W215625348","https://openalex.org/W1441581489","https://openalex.org/W1497745584","https://openalex.org/W1540386283","https://openalex.org/W1554039773","https://openalex.org/W1871180460","https://openalex.org/W1923026787","https://openalex.org/W1942758450","https://openalex.org/W1944615693","https://openalex.org/W1947746128","https://openalex.org/W1950788856","https://openalex.org/W1953802779","https://openalex.org/W1971695614","https://openalex.org/W1979378996","https://openalex.org/W1981121225","https://openalex.org/W1983364832","https://openalex.org/W1983592444","https://openalex.org/W1985469025","https://openalex.org/W2008989859","https://openalex.org/W2012384441","https://openalex.org/W2030061193","https://openalex.org/W2031334527","https://openalex.org/W2031765333","https://openalex.org/W2033322043","https://openalex.org/W2040171755","https://openalex.org/W2042041679","https://openalex.org/W2048821851","https://openalex.org/W2052648922","https://openalex.org/W2053320878","https://openalex.org/W2054041160","https://openalex.org/W2063438554","https://openalex.org/W2065180801","https://openalex.org/W2073139398","https://openalex.org/W2110119381","https://openalex.org/W2110994494","https://openalex.org/W2117973875","https://openalex.org/W2118099552","https://openalex.org/W2118253129","https://openalex.org/W2120852116","https://openalex.org/W2125479168","https://openalex.org/W2139191027","https://openalex.org/W2139857301","https://openalex.org/W2142194269","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2145546283","https://openalex.org/W2146048167","https://openalex.org/W2147196093","https://openalex.org/W2149645715","https://openalex.org/W2150979491","https://openalex.org/W2156303437","https://openalex.org/W2156392723","https://openalex.org/W2160144863","https://openalex.org/W2162033023","https://openalex.org/W2163331914","https://openalex.org/W2172156083","https://openalex.org/W2204710204","https://openalex.org/W2235526797","https://openalex.org/W2338957958","https://openalex.org/W2949201716","https://openalex.org/W2949664970","https://openalex.org/W2964134613","https://openalex.org/W3103144163","https://openalex.org/W6608276133","https://openalex.org/W6628276711","https://openalex.org/W6629935912","https://openalex.org/W6632200337","https://openalex.org/W6633085109","https://openalex.org/W6639239318","https://openalex.org/W6640290990","https://openalex.org/W6640754710","https://openalex.org/W6640786210","https://openalex.org/W6641080644","https://openalex.org/W6653316686","https://openalex.org/W6676678553","https://openalex.org/W6677419484","https://openalex.org/W6682864246","https://openalex.org/W6703575187"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1576128429","https://openalex.org/W2182357018","https://openalex.org/W2269464716"],"abstract_inverted_index":{"As":[0],"the":[1,21,73,92,104,107,131,135],"prosperity":[2],"of":[3,20,30,85,146],"low-cost":[4],"and":[5,47,79,87,106,113,138],"easy-operating":[6],"depth":[7],"cameras,":[8],"skeleton-based":[9],"human":[10,32],"action":[11,45,80,94,105,140,152],"recognition":[12,153],"has":[13],"been":[14],"extensively":[15],"studied":[16],"recently.":[17],"However,":[18],"most":[19],"existing":[22],"methods":[23],"partially":[24],"consider":[25],"that":[26,158],"all":[27],"3D":[28,38,151],"joints":[29,39],"a":[31,56,64,83,111,118],"skeleton":[33],"are":[34,51],"identical.":[35],"Actually,":[36],"these":[37],"exhibit":[40],"diverse":[41],"responses":[42],"to":[43,54,71,128],"different":[44,139],"classes,":[46],"some":[48],"joint":[49,77,89,108,136],"configurations":[50,78,90,109,137],"more":[52],"discriminative":[53,65,86],"distinguish":[55],"certain":[57],"action.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"propose":[63],"multi-instance":[66,99],"multitask":[67,119],"learning":[68,100,120],"(MIMTL)":[69],"framework":[70,162],"discover":[72],"intrinsic":[74,132],"relationship":[75,133],"between":[76,134],"classes.":[81,141],"First,":[82],"set":[84],"informative":[88],"for":[91],"corresponding":[93],"class":[95],"is":[96,126],"captured":[97],"in":[98],"model":[101,121],"by":[102],"regarding":[103],"as":[110],"bag":[112],"its":[114],"instances,":[115],"respectively.":[116],"Then,":[117],"with":[122,166],"group":[123],"structure":[124],"constraints":[125],"exploited":[127],"further":[129],"reveal":[130],"We":[142],"conduct":[143],"extensive":[144],"evaluations":[145],"MIMTL":[147,161],"using":[148],"three":[149],"benchmark":[150],"datasets.":[154],"Experimental":[155],"results":[156],"show":[157],"our":[159],"proposed":[160],"performs":[163],"favorably":[164],"compared":[165],"several":[167],"state-of-the-art":[168],"approaches.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":13},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}