{"id":"https://openalex.org/W4399404947","doi":"https://doi.org/10.1109/tcsvt.2024.3410301","title":"Global and Local Contrastive Learning for Self-Supervised Skeleton-Based Action Recognition","display_name":"Global and Local Contrastive Learning for Self-Supervised Skeleton-Based Action Recognition","publication_year":2024,"publication_date":"2024-06-06","ids":{"openalex":"https://openalex.org/W4399404947","doi":"https://doi.org/10.1109/tcsvt.2024.3410301"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3410301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3410301","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5091474327","display_name":"J. Hu","orcid":"https://orcid.org/0009-0002-5096-9453"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhua Hu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0002-5096-9453","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023247075","display_name":"Yonghong Hou","orcid":"https://orcid.org/0000-0002-1676-5505"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Hou","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-1676-5505","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031676073","display_name":"Zihui Guo","orcid":"https://orcid.org/0000-0001-8917-1102"},"institutions":[{"id":"https://openalex.org/I168673124","display_name":"Tianjin Chengjian University","ror":"https://ror.org/01d0bkz51","country_code":"CN","type":"education","lineage":["https://openalex.org/I168673124"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihui Guo","raw_affiliation_strings":["School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-8917-1102","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin, China","institution_ids":["https://openalex.org/I168673124"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065554199","display_name":"Jiajun Gao","orcid":"https://orcid.org/0000-0003-3098-6619"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Gao","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3098-6619","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8121,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96148787,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"34","issue":"11","first_page":"10578","last_page":"10589"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9761000275611877,"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":0.9733999967575073,"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/computer-science","display_name":"Computer science","score":0.6595488786697388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5734491348266602},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.5639692544937134},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5631895661354065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5061721205711365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3990997076034546},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.13769078254699707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6595488786697388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5734491348266602},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.5639692544937134},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5631895661354065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5061721205711365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3990997076034546},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.13769078254699707},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3410301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3410301","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W2308529009","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2519711346","https://openalex.org/W2554408731","https://openalex.org/W2765407302","https://openalex.org/W2787919227","https://openalex.org/W2944006115","https://openalex.org/W2964060161","https://openalex.org/W2964134613","https://openalex.org/W2971486392","https://openalex.org/W2992308087","https://openalex.org/W2996835428","https://openalex.org/W3018757597","https://openalex.org/W3033793613","https://openalex.org/W3034548564","https://openalex.org/W3034999503","https://openalex.org/W3035149912","https://openalex.org/W3035225512","https://openalex.org/W3035524453","https://openalex.org/W3092424783","https://openalex.org/W3092754310","https://openalex.org/W3159212182","https://openalex.org/W3169413442","https://openalex.org/W3171007011","https://openalex.org/W3188030217","https://openalex.org/W3205106480","https://openalex.org/W4200633254","https://openalex.org/W4200634815","https://openalex.org/W4225557002","https://openalex.org/W4286685089","https://openalex.org/W4288064503","https://openalex.org/W4312249545","https://openalex.org/W4312387119","https://openalex.org/W4312659823","https://openalex.org/W4312757522","https://openalex.org/W4313156423","https://openalex.org/W4320015918","https://openalex.org/W4379984420","https://openalex.org/W4382240124","https://openalex.org/W4382240189","https://openalex.org/W4384161779","https://openalex.org/W4385768200","https://openalex.org/W4386065445","https://openalex.org/W4390871806","https://openalex.org/W6726497184","https://openalex.org/W6744513255","https://openalex.org/W6758662331","https://openalex.org/W6760184523","https://openalex.org/W6766978945","https://openalex.org/W6770979763","https://openalex.org/W6774670964","https://openalex.org/W6787536123","https://openalex.org/W6791742336","https://openalex.org/W6796761347","https://openalex.org/W6839948572"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Contrastive":[0,40],"learning":[1,47],"for":[2,29,111],"self-supervised":[3],"skeleton-based":[4,30],"action":[5,20,24,31,87],"recognition":[6],"has":[7,12],"recently":[8],"received":[9],"attention.":[10],"It":[11],"been":[13],"observed":[14],"that":[15,160],"local":[16,59,106,112],"crops,":[17],"containing":[18],"partial":[19],"sequences,":[21],"can":[22],"predict":[23],"patterns,":[25],"which":[26,52],"is":[27,101],"advantageous":[28],"recognition.":[32],"This":[33],"paper":[34],"proposes":[35],"a":[36,128],"Global":[37],"and":[38,50,58,154],"Local":[39],"Learning":[41],"framework":[42],"(skeleton-logoCLR)":[43],"with":[44],"two":[45,105,123],"contrastive":[46],"routes,":[48],"Global-to-Global":[49,69],"Global-to-Local,":[51],"utilize":[53],"the":[54,62,68,84,90,94,97,120,132,147,161],"similarity":[55],"between":[56],"global":[57,79],"crops":[60,107],"of":[61,86,117,122],"same":[63],"skeleton":[64],"sequence.":[65],"Specifically,":[66],"in":[67,89,127],"route,":[70,96],"we":[71],"design":[72],"Temporal":[73],"Attention":[74],"Crop-Resize":[75],"(TACR)":[76],"to":[77,103,137],"learn":[78],"semantic":[80,113],"information":[81],"by":[82],"maximizing":[83],"retention":[85],"region":[88],"temporal":[91],"dimension.":[92],"In":[93],"Global-to-Local":[95],"proposed":[98,162],"Skeleton-logo":[99],"Augmentation":[100],"deviced":[102],"concatenate":[104],"from":[108],"different":[109],"sequences":[110],"learning.":[114],"Moreover,":[115],"instead":[116],"fusing":[118],"directly,":[119],"losses":[121],"routes":[124],"are":[125,144],"combined":[126],"cascaded":[129],"manner":[130],"through":[131],"Self-Adaptive":[133],"Training":[134],"Strategy":[135],"(SATS)":[136],"achieve":[138],"stronger":[139],"generalization":[140],"performance.":[141,166],"Extensive":[142],"experiments":[143],"conducted":[145],"on":[146],"NTU":[148,151],"RGB+D":[149,152],"60,":[150],"120,":[153],"PKU-MMD":[155],"datasets.":[156],"The":[157],"results":[158],"demonstrate":[159],"method":[163],"achieves":[164],"remarkable":[165]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
