{"id":"https://openalex.org/W3205032456","doi":"https://doi.org/10.1145/3474085.3475248","title":"Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning","display_name":"Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3205032456","doi":"https://doi.org/10.1145/3474085.3475248","mag":"3205032456"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","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/A5003812660","display_name":"Yukun Su","orcid":"https://orcid.org/0000-0001-6942-3528"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yukun Su","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029912845","display_name":"Guosheng Lin","orcid":"https://orcid.org/0000-0002-0329-7458"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guosheng Lin","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029998379","display_name":"Ruizhou Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizhou Sun","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088945283","display_name":"Yun Hao","orcid":"https://orcid.org/0000-0002-1684-0085"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Hao","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023130798","display_name":"Qingyao Wu","orcid":"https://orcid.org/0000-0002-6771-3932"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyao Wu","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003812660"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":2.4978,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.91181373,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"769","last_page":"778"},"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":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9966999888420105,"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/embedding","display_name":"Embedding","score":0.7257689833641052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7255939245223999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7239466905593872},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.664690375328064},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.6336015462875366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.583149790763855},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.551930844783783},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5300768613815308},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5234581828117371},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49168020486831665},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4603421986103058},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.45127832889556885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3336590528488159}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7257689833641052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7255939245223999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7239466905593872},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.664690375328064},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.6336015462875366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.583149790763855},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.551930844783783},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5300768613815308},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5234581828117371},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49168020486831665},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4603421986103058},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.45127832889556885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3336590528488159},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474085.3475248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W569478347","https://openalex.org/W1930563420","https://openalex.org/W2048821851","https://openalex.org/W2117539524","https://openalex.org/W2143267104","https://openalex.org/W2308529009","https://openalex.org/W2321533354","https://openalex.org/W2342311830","https://openalex.org/W2406128552","https://openalex.org/W2442651457","https://openalex.org/W2559085405","https://openalex.org/W2560474170","https://openalex.org/W2566769621","https://openalex.org/W2575671312","https://openalex.org/W2593146028","https://openalex.org/W2603861860","https://openalex.org/W2604321021","https://openalex.org/W2618253408","https://openalex.org/W2784435047","https://openalex.org/W2798644314","https://openalex.org/W2798991696","https://openalex.org/W2802979841","https://openalex.org/W2868755588","https://openalex.org/W2940457086","https://openalex.org/W2948058585","https://openalex.org/W2948242301","https://openalex.org/W2948246283","https://openalex.org/W2948467580","https://openalex.org/W2950061832","https://openalex.org/W2950187998","https://openalex.org/W2953330232","https://openalex.org/W2963814513","https://openalex.org/W2964060161","https://openalex.org/W2964134613","https://openalex.org/W2964321699","https://openalex.org/W2972780057","https://openalex.org/W3005680577","https://openalex.org/W3010874390","https://openalex.org/W3014344640","https://openalex.org/W3017094594","https://openalex.org/W3033793613","https://openalex.org/W3034548564","https://openalex.org/W3034559532","https://openalex.org/W3035050855","https://openalex.org/W3035149912","https://openalex.org/W3035524453","https://openalex.org/W3048918001","https://openalex.org/W3092424783","https://openalex.org/W3098538019","https://openalex.org/W3103184573","https://openalex.org/W3105195350","https://openalex.org/W3106776857"],"related_works":["https://openalex.org/W4287995534","https://openalex.org/W3105884666","https://openalex.org/W2998168123","https://openalex.org/W3025582806","https://openalex.org/W3162567751","https://openalex.org/W4285260836","https://openalex.org/W4319309271","https://openalex.org/W4300480195","https://openalex.org/W4306321456","https://openalex.org/W3205032456"],"abstract_inverted_index":{"Self-supervised":[0],"learning":[1,9,44,63],"(SSL)":[2],"has":[3],"been":[4],"proved":[5],"very":[6,20],"effective":[7],"in":[8,14,91,104,111,123],"representations":[10,50],"from":[11,38,47],"unlabeled":[12],"data":[13],"language":[15],"and":[16,31,51,139,178,194],"vision":[17],"domains.":[18],"Yet,":[19],"few":[21],"instrumental":[22],"self-supervised":[23],"approaches":[24],"exist":[25],"for":[26,41],"3D":[27,101,159],"skeleton":[28,42,93,102,160],"action":[29,43,121,137,144],"understanding,":[30],"directly":[32],"applying":[33],"the":[34,67,76,82,92,97,108,120,124,134,147,153,157,164,167,189],"existing":[35],"SSL":[36],"methods":[37],"other":[39],"domains":[40],"may":[45],"suffer":[46],"misalignment":[48],"of":[49,70,100,166,191],"some":[52,89],"limitations.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57,132,197],"consider":[58],"that":[59],"a":[60],"good":[61],"representation":[62,145],"encoder":[64],"can":[65,74,198],"distinguish":[66],"underlying":[68],"features":[69,122,138],"different":[71,105],"actions,":[72],"which":[73],"make":[75],"similar":[77],"motions":[78,84],"closer":[79],"while":[80],"pushing":[81],"dissimilar":[83],"away.":[85],"There":[86],"exists,":[87],"however,":[88],"uncertainties":[90,154],"actions":[94],"due":[95],"to":[96,118,141,151],"inherent":[98],"ambiguity":[99],"pose":[103],"viewpoints":[106],"or":[107],"sampling":[109],"algorithm":[110],"contrastive":[112],"learning,":[113],"thus,":[114],"it":[115],"is":[116],"ill-posed":[117],"differentiate":[119],"deterministic":[125],"embedding":[126,149],"space.":[127],"To":[128,162],"address":[129],"these":[130],"issues,":[131],"rethink":[133],"distance":[135],"between":[136],"propose":[140],"model":[142],"each":[143],"into":[146],"probabilistic":[148],"space":[150],"alleviate":[152],"upon":[155],"encountering":[156],"ambiguous":[158],"inputs.":[161],"validate":[163],"effectiveness":[165],"proposed":[168],"method,":[169],"extensive":[170],"experiments":[171],"are":[172],"conducted":[173],"on":[174],"Kinetics,":[175],"NTU60,":[176],"NTU120,":[177],"PKUMMD":[179],"datasets":[180],"with":[181],"several":[182],"alternative":[183],"network":[184],"architectures.":[185],"Experimental":[186],"evaluations":[187],"demonstrate":[188],"superiority":[190],"our":[192],"approach":[193],"through":[195],"which,":[196],"gain":[199],"significant":[200],"performance":[201],"improvement":[202],"without":[203],"using":[204],"extra":[205],"labeled":[206],"data.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}