{"id":"https://openalex.org/W4403182097","doi":"https://doi.org/10.1109/tip.2024.3468870","title":"Self-Supervised Sub-Action Parsing Network for Semi-Supervised Action Quality Assessment","display_name":"Self-Supervised Sub-Action Parsing Network for Semi-Supervised Action Quality Assessment","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403182097","doi":"https://doi.org/10.1109/tip.2024.3468870","pmid":"https://pubmed.ncbi.nlm.nih.gov/39374293"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3468870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3468870","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/A5026792871","display_name":"Kumie Gedamu","orcid":"https://orcid.org/0000-0002-6458-1882"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kumie Gedamu","raw_affiliation_strings":["Sichuan Artificial Intelligence Research Institute, Yibin, China"],"raw_orcid":"https://orcid.org/0000-0002-6458-1882","affiliations":[{"raw_affiliation_string":"Sichuan Artificial Intelligence Research Institute, Yibin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068950059","display_name":"Yanli Ji","orcid":"https://orcid.org/0000-0001-9122-6141"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Ji","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen, China","School of Intelligent Systems Engineering, Sun Yat-sen University (Shenzhen Campus), China"],"raw_orcid":"https://orcid.org/0000-0001-9122-6141","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University (Shenzhen Campus), China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397616","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5070-4511"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Computer Science and Engineering, UESTC, Chengdu, China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0002-5070-4511","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, UESTC, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072350518","display_name":"Jie Shao","orcid":"https://orcid.org/0000-0003-2615-1555"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Shao","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0003-2615-1555","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052993469","display_name":"Heng Tao Shen","orcid":"https://orcid.org/0000-0002-2999-2088"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Tao Shen","raw_affiliation_strings":["School of Computer Science and Engineering, UESTC, Chengdu, China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, UESTC, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9449,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8819234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"6057","last_page":"6070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9929999709129333,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9929999709129333,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9901000261306763,"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":0.9580000042915344,"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/parsing","display_name":"Parsing","score":0.7138724327087402},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128052711486816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6308437585830688},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4998035430908203},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4640134572982788},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4167943298816681},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4159998893737793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34019938111305237}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7138724327087402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128052711486816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6308437585830688},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4998035430908203},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4640134572982788},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4167943298816681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4159998893737793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34019938111305237},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3468870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3468870","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:39374293","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39374293","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":[{"id":"https://openalex.org/G2196041073","display_name":null,"funder_award_id":"JCYJ20230807120000001","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G5370349622","display_name":null,"funder_award_id":"QN2023036003L","funder_id":"https://openalex.org/F4320324279","funder_display_name":"Ministry of Science and Technology of Thailand"},{"id":"https://openalex.org/G5480161566","display_name":null,"funder_award_id":"W2433164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G930224581","display_name":null,"funder_award_id":"JCYJ20210324132203007","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324279","display_name":"Ministry of Science and Technology of Thailand","ror":"https://ror.org/02nfy5246"},{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2048835603","https://openalex.org/W2133665775","https://openalex.org/W2152404931","https://openalex.org/W2260521078","https://openalex.org/W2398889210","https://openalex.org/W2552035314","https://openalex.org/W2591808669","https://openalex.org/W2602920898","https://openalex.org/W2604806576","https://openalex.org/W2796214461","https://openalex.org/W2939039198","https://openalex.org/W2953867939","https://openalex.org/W2962858109","https://openalex.org/W2963524571","https://openalex.org/W2963867213","https://openalex.org/W2964159205","https://openalex.org/W2981952041","https://openalex.org/W2990759760","https://openalex.org/W2995113766","https://openalex.org/W3034309634","https://openalex.org/W3035180180","https://openalex.org/W3035524453","https://openalex.org/W3035714233","https://openalex.org/W3043360221","https://openalex.org/W3088390354","https://openalex.org/W3093182158","https://openalex.org/W3103717557","https://openalex.org/W3106776857","https://openalex.org/W3109620645","https://openalex.org/W3118508703","https://openalex.org/W3162565403","https://openalex.org/W3173229911","https://openalex.org/W3176780013","https://openalex.org/W3191973200","https://openalex.org/W3193654597","https://openalex.org/W3202721444","https://openalex.org/W3207409354","https://openalex.org/W4205745489","https://openalex.org/W4214612132","https://openalex.org/W4224088546","https://openalex.org/W4287890624","https://openalex.org/W4312243874","https://openalex.org/W4312336798","https://openalex.org/W4312419390","https://openalex.org/W4312626235","https://openalex.org/W4312785375","https://openalex.org/W4312925544","https://openalex.org/W4319300938","https://openalex.org/W4381299118","https://openalex.org/W4386071938","https://openalex.org/W4387968012","https://openalex.org/W4388104037","https://openalex.org/W4388666348","https://openalex.org/W4391307099","https://openalex.org/W4392904266","https://openalex.org/W6602375370","https://openalex.org/W6771787070","https://openalex.org/W6773005947","https://openalex.org/W6774314701","https://openalex.org/W6840668793","https://openalex.org/W6947681574"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W2952780262","https://openalex.org/W2979495269","https://openalex.org/W2392917763","https://openalex.org/W2083429127","https://openalex.org/W2358855848","https://openalex.org/W2142145894","https://openalex.org/W4381248170","https://openalex.org/W3189621521","https://openalex.org/W2173794830"],"abstract_inverted_index":{"Semi-supervised":[0],"Action":[1],"Quality":[2],"Assessment":[3],"(AQA)":[4],"using":[5],"limited":[6],"labeled":[7,42,74],"and":[8,31,43,75,86,94,114,152],"massive":[9],"unlabeled":[10,44,76],"samples":[11,45,77],"to":[12,28,68,112,128],"achieve":[13],"high-quality":[14,88],"assessment":[15],"is":[16],"an":[17],"attractive":[18],"but":[19],"challenging":[20],"task.":[21],"The":[22,155],"main":[23],"challenge":[24],"relies":[25],"on":[26,143],"how":[27],"exploit":[29],"solid":[30],"consistent":[32,70,130],"representations":[33,72],"of":[34],"action":[35,102,132],"sequences":[36],"for":[37,78],"building":[38],"a":[39,56,64,107,167],"bridge":[40],"between":[41,73],"in":[46,90,99,134],"the":[47,52,91,96,122,135,147],"semi-supervised":[48,79,164],"AQA.":[49,80],"To":[50],"address":[51],"issue,":[53],"we":[54,120],"propose":[55],"Self-supervised":[57],"sub-Action":[58],"Parsing":[59],"Network":[60],"(SAP-Net)":[61],"that":[62,159],"employs":[63],"teacher-student":[65],"network":[66],"structure":[67],"learn":[69],"semantic":[71],"We":[81,104,138],"perform":[82],"actor-centric":[83],"region":[84],"detection":[85],"generate":[87],"pseudo-labels":[89,127],"teacher":[92],"branch":[93,98],"assists":[95],"student":[97],"learning":[100,125],"discriminative":[101],"features.":[103],"further":[105],"design":[106],"self-supervised":[108],"sub-action":[109,117],"parsing":[110],"solution":[111],"locate":[113],"parse":[115],"fine-grained":[116],"sequences.":[118],"Then,":[119],"present":[121],"group":[123],"contrastive":[124],"with":[126],"capture":[129],"motion-oriented":[131],"features":[133],"two":[136],"branches.":[137],"evaluate":[139],"our":[140,160],"proposed":[141],"SAP-Net":[142],"four":[144],"public":[145],"datasets:":[146],"MTL-AQA,":[148],"FineDiving,":[149],"Rhythmic":[150],"Gymnastics,":[151],"FineFS":[153],"datasets.":[154],"experiment":[156],"results":[157],"show":[158],"approach":[161],"outperforms":[162],"state-of-the-art":[163],"methods":[165],"by":[166],"significant":[168],"margin.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
