{"id":"https://openalex.org/W2789563918","doi":"https://doi.org/10.1109/tip.2018.2813530","title":"Deep Action Parsing in Videos With Large-Scale Synthesized Data","display_name":"Deep Action Parsing in Videos With Large-Scale Synthesized Data","publication_year":2018,"publication_date":"2018-03-14","ids":{"openalex":"https://openalex.org/W2789563918","doi":"https://doi.org/10.1109/tip.2018.2813530","mag":"2789563918","pmid":"https://pubmed.ncbi.nlm.nih.gov/29570088"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2813530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2813530","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100418783","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-2011-2873"},"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":true,"raw_author_name":"Li Liu","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005083930","display_name":"Yi Zhou","orcid":"https://orcid.org/0000-0001-7445-226X"},"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":"Yi Zhou","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"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":"Ling Shao","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100418783"],"corresponding_institution_ids":["https://openalex.org/I4210116052"],"apc_list":null,"apc_paid":null,"fwci":0.6267,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72929832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"27","issue":"6","first_page":"2869","last_page":"2882"},"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":0.9944999814033508,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9940000176429749,"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":0.8014703989028931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7249550819396973},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6864250898361206},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6785050630569458},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6760804653167725},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5967613458633423},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.593923032283783},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5682997703552246},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5056784152984619},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5005826950073242},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4634411633014679},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4539385735988617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3215729594230652}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8014703989028931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7249550819396973},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6864250898361206},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6785050630569458},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6760804653167725},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5967613458633423},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.593923032283783},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5682997703552246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5056784152984619},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5005826950073242},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4634411633014679},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4539385735988617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3215729594230652},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2018.2813530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2813530","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:29570088","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29570088","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W65124300","https://openalex.org/W410625161","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1559046793","https://openalex.org/W1586730761","https://openalex.org/W1797109199","https://openalex.org/W1918392599","https://openalex.org/W1945129080","https://openalex.org/W1962468782","https://openalex.org/W1963135442","https://openalex.org/W1964005749","https://openalex.org/W1983364832","https://openalex.org/W2010399676","https://openalex.org/W2012592962","https://openalex.org/W2015461918","https://openalex.org/W2016053056","https://openalex.org/W2016208906","https://openalex.org/W2016467840","https://openalex.org/W2018068650","https://openalex.org/W2018977674","https://openalex.org/W2020082763","https://openalex.org/W2034328688","https://openalex.org/W2038765747","https://openalex.org/W2039808736","https://openalex.org/W2042328763","https://openalex.org/W2044038178","https://openalex.org/W2064851185","https://openalex.org/W2073212499","https://openalex.org/W2088049833","https://openalex.org/W2094116030","https://openalex.org/W2095661305","https://openalex.org/W2097117768","https://openalex.org/W2097342496","https://openalex.org/W2100916003","https://openalex.org/W2102605133","https://openalex.org/W2108885157","https://openalex.org/W2109933951","https://openalex.org/W2110226160","https://openalex.org/W2110819057","https://openalex.org/W2120419212","https://openalex.org/W2122476475","https://openalex.org/W2123477621","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2128532956","https://openalex.org/W2131311058","https://openalex.org/W2131855659","https://openalex.org/W2137981002","https://openalex.org/W2142194269","https://openalex.org/W2150674759","https://openalex.org/W2155893237","https://openalex.org/W2156303437","https://openalex.org/W2163292664","https://openalex.org/W2163605009","https://openalex.org/W2169564179","https://openalex.org/W2175354415","https://openalex.org/W2181378550","https://openalex.org/W2266395185","https://openalex.org/W2316201941","https://openalex.org/W2533474511","https://openalex.org/W2533739470","https://openalex.org/W2953106684","https://openalex.org/W2962791923","https://openalex.org/W4249279051","https://openalex.org/W6674914833","https://openalex.org/W6676368796","https://openalex.org/W6679761776","https://openalex.org/W6682864246","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3185156046","https://openalex.org/W2922305141","https://openalex.org/W2123376283","https://openalex.org/W4387327236","https://openalex.org/W2183488467","https://openalex.org/W1990237101","https://openalex.org/W4309907966","https://openalex.org/W4387896287","https://openalex.org/W2187490799","https://openalex.org/W4300172249"],"abstract_inverted_index":{"Action":[0,35,108,165],"parsing":[1],"in":[2,13,27,38,41,72,130,189],"videos":[3],"with":[4,125],"complex":[5],"scenes":[6],"is":[7,89],"an":[8,62],"interesting":[9],"but":[10],"challenging":[11],"task":[12],"computer":[14],"vision.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19,66,100],"propose":[20],"a":[21,28,103],"generic":[22],"3D":[23],"convolutional":[24],"neural":[25],"network":[26],"multi-task":[29],"learning":[30,50],"manner":[31],"for":[32],"effective":[33],"Deep":[34],"Parsing":[36],"(DAP3D-Net)":[37],"videos.":[39,191],"Particularly,":[40],"the":[42,73,78,82,87,94,97,153,170],"training":[43],"phase,":[44],"action":[45,71,79,83,88,118,128,147],"localization,":[46],"classification,":[47],"and":[48,85,124,142,157,169,185],"attributes":[49,129,136,144],"can":[51,67,181],"be":[52],"jointly":[53],"optimized":[54],"on":[55,161],"our":[56,162,179],"appearance-motion":[57],"data":[58,109,155,167,173],"via":[59],"DAP3D-Net.":[60],"For":[61],"upcoming":[63],"test":[64],"video,":[65],"describe":[68,186],"each":[69],"individual":[70],"video":[74],"simultaneously":[75],"as:":[76],"Where":[77],"occurs,":[80],"What":[81],"is,":[84],"How":[86],"performed.":[90],"To":[91],"well":[92],"demonstrate":[93],"effectiveness":[95],"of":[96,115,120,137],"proposed":[98],"DAP3D-Net,":[99],"also":[101],"contribute":[102],"new":[104],"Numerous-category":[105],"Aligned":[106],"Synthetic":[107],"set,":[110],"i.e.,":[111],"NASA,":[112],"which":[113],"consists":[114],"200":[116],"000":[117],"clips":[119],"over":[121],"300":[122],"categories":[123],"33":[126],"pre-defined":[127],"two":[131],"hierarchical":[132],"levels":[133],"(i.e.,":[134],"low-level":[135],"basic":[138],"body":[139],"part":[140],"movements":[141],"high-level":[143],"related":[145],"to":[146],"motion).":[148],"We":[149],"learn":[150],"DAP3D-Net":[151],"using":[152],"NASA":[154],"set":[156,168],"then":[158],"evaluate":[159],"it":[160],"collected":[163],"Human":[164],"Understanding":[166],"public":[171],"THUMOS":[172],"set.":[174],"Experimental":[175],"results":[176],"show":[177],"that":[178],"approach":[180],"accurately":[182],"localize,":[183],"categorize,":[184],"multiple":[187],"actions":[188],"realistic":[190]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}