{"id":"https://openalex.org/W4312337393","doi":"https://doi.org/10.1109/tmm.2022.3231099","title":"Temporal Action Segmentation With High-Level Complex Activity Labels","display_name":"Temporal Action Segmentation With High-Level Complex Activity Labels","publication_year":2022,"publication_date":"2022-12-21","ids":{"openalex":"https://openalex.org/W4312337393","doi":"https://doi.org/10.1109/tmm.2022.3231099"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3231099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3231099","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/A5024687250","display_name":"Guodong Ding","orcid":"https://orcid.org/0000-0001-6080-5220"},"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":"Guodong Ding","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-6080-5220","affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006278133","display_name":"Angela Yao","orcid":"https://orcid.org/0000-0001-7418-6141"},"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":"Angela Yao","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-7418-6141","affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":1.664,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85386063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":null,"first_page":"1928","last_page":"1939"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9962000250816345,"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":0.9883000254631042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.829912006855011},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7853003740310669},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6635842323303223},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6424158215522766},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6393091082572937},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.633711576461792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5675712823867798},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.48810824751853943},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4243437349796295},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.382158100605011},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34846261143684387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.829912006855011},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7853003740310669},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6635842323303223},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6424158215522766},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6393091082572937},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.633711576461792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5675712823867798},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.48810824751853943},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4243437349796295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.382158100605011},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34846261143684387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/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":1,"locations":[{"id":"doi:10.1109/tmm.2022.3231099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3231099","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":0.5600000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W805710393","https://openalex.org/W2099614498","https://openalex.org/W2105101328","https://openalex.org/W2108710284","https://openalex.org/W2124890708","https://openalex.org/W2142194269","https://openalex.org/W2314362175","https://openalex.org/W2463824207","https://openalex.org/W2477205648","https://openalex.org/W2520774990","https://openalex.org/W2530494944","https://openalex.org/W2550143307","https://openalex.org/W2600081845","https://openalex.org/W2605102252","https://openalex.org/W2619947201","https://openalex.org/W2625366777","https://openalex.org/W2795187948","https://openalex.org/W2798345491","https://openalex.org/W2899771611","https://openalex.org/W2903691278","https://openalex.org/W2913950831","https://openalex.org/W2950180292","https://openalex.org/W2951866553","https://openalex.org/W2951906878","https://openalex.org/W2955874753","https://openalex.org/W2962795934","https://openalex.org/W2962916463","https://openalex.org/W2963314614","https://openalex.org/W2963524571","https://openalex.org/W2963642716","https://openalex.org/W2963722382","https://openalex.org/W2963853051","https://openalex.org/W2964311439","https://openalex.org/W2982335217","https://openalex.org/W2990503944","https://openalex.org/W2990720095","https://openalex.org/W3009622574","https://openalex.org/W3034373833","https://openalex.org/W3034687522","https://openalex.org/W3034802267","https://openalex.org/W3035218028","https://openalex.org/W3083550439","https://openalex.org/W3088826108","https://openalex.org/W3108772932","https://openalex.org/W3119038403","https://openalex.org/W3120214499","https://openalex.org/W3128138976","https://openalex.org/W3174587031","https://openalex.org/W3174700686","https://openalex.org/W3176212189","https://openalex.org/W3180945712","https://openalex.org/W4287825490","https://openalex.org/W4288593364","https://openalex.org/W4312322722","https://openalex.org/W6726946684","https://openalex.org/W6749682228","https://openalex.org/W6753000030","https://openalex.org/W6756040250","https://openalex.org/W6758314753","https://openalex.org/W6774701426","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W3009369890","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W4312490297","https://openalex.org/W1997160662"],"abstract_inverted_index":{"The":[0,61,167],"temporal":[1,58,195],"action":[2,10,24,59,82,134,172,196],"segmentation":[3,19,197],"task":[4],"segments":[5],"videos":[6],"temporally":[7],"and":[8,29,160,198],"predicts":[9],"labels":[11],"for":[12,57,141,171],"all":[13],"frames.":[14],"Fully":[15],"supervising":[16],"such":[17],"a":[18,40,77],"model":[20],"requires":[21,48],"dense":[22],"frame-wise":[23],"annotations,":[25],"which":[26,90,176],"are":[27,93],"expensive":[28],"tedious":[30],"to":[31,38,84,109,119,131,136,163],"collect.":[32],"This":[33,101],"work":[34],"is":[35],"the":[36,49,97,107,120,127,147,150,157,164,182],"first":[37],"propose":[39],"Constituent":[41],"Action":[42],"Discovery":[43],"(CAD)":[44],"framework":[45],"that":[46,145,188],"only":[47],"video-wise":[50],"high-level":[51,148],"complex":[52,116],"activity":[53,71,98,161,199],"label":[54],"as":[55],"supervision":[56],"segmentation.":[60],"proposed":[62],"approach":[63,105],"automatically":[64],"discovers":[65],"constituent":[66],"video":[67,159],"actions":[68,113,191],"using":[69],"an":[70],"classification":[72,99],"task.":[73],"Specifically,":[74],"we":[75,125],"define":[76],"finite":[78],"number":[79],"of":[80,122],"latent":[81,133],"prototypes":[83,92,135],"construct":[85],"video-level":[86],"dual":[87],"representations":[88],"with":[89,106,146],"these":[91],"learned":[94],"collectively":[95],"through":[96],"training.":[100],"setting":[102],"endows":[103],"our":[104,189],"capability":[108],"discover":[110],"potentially":[111],"shared":[112],"across":[114,174],"multiple":[115],"activities.":[117],"Due":[118],"lack":[121],"action-level":[123],"supervision,":[124,149],"adopt":[126],"Hungarian":[128,151],"matching":[129,152,169],"algorithm":[130],"relate":[132],"ground":[137],"truth":[138],"semantic":[139],"classes":[140],"evaluation.":[142],"We":[143],"show":[144],"can":[153,192],"be":[154],"extended":[155],"from":[156],"existing":[158],"levels":[162],"global":[165],"level.":[166],"global-level":[168],"allows":[170],"sharing":[173],"activities,":[175],"has":[177],"never":[178],"been":[179],"considered":[180],"in":[181],"literature":[183],"before.":[184],"Extensive":[185],"experiments":[186],"demonstrate":[187],"discovered":[190],"help":[193],"perform":[194],"recognition":[200],"tasks.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}