{"id":"https://openalex.org/W4319993407","doi":"https://doi.org/10.1109/tmm.2023.3239751","title":"Skeleton-Based Action Recognition Through Contrasting Two-Stream Spatial-Temporal Networks","display_name":"Skeleton-Based Action Recognition Through Contrasting Two-Stream Spatial-Temporal Networks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319993407","doi":"https://doi.org/10.1109/tmm.2023.3239751"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3239751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3239751","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/A5077021587","display_name":"Chen Pang","orcid":"https://orcid.org/0009-0002-2358-7038"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Pang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0002-2358-7038","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019288783","display_name":"Xuequan Lu","orcid":"https://orcid.org/0000-0003-0959-408X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuequan Lu","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0959-408X","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001506992","display_name":"Lei Lyu","orcid":"https://orcid.org/0000-0001-9521-6039"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Lyu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-9521-6039","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1175,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.95471496,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"25","issue":null,"first_page":"8699","last_page":"8711"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976999759674072,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9975000023841858,"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":0.8263047933578491},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.6193177103996277},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.51570063829422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4912802577018738},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4502444267272949},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4379025995731354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8263047933578491},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.6193177103996277},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.51570063829422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4912802577018738},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4502444267272949},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4379025995731354},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"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.2023.3239751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3239751","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":[],"awards":[{"id":"https://openalex.org/G1134071004","display_name":null,"funder_award_id":"ZR2021LZL012","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6038277628","display_name":null,"funder_award_id":"61976127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G679452232","display_name":null,"funder_award_id":"ZR2021QG004","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1591801644","https://openalex.org/W1950788856","https://openalex.org/W2054041160","https://openalex.org/W2138857742","https://openalex.org/W2187089797","https://openalex.org/W2469228190","https://openalex.org/W2510185399","https://openalex.org/W2526041356","https://openalex.org/W2558460151","https://openalex.org/W2604321021","https://openalex.org/W2736334449","https://openalex.org/W2778523960","https://openalex.org/W2787919227","https://openalex.org/W2798271879","https://openalex.org/W2798991696","https://openalex.org/W2940457086","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2962960500","https://openalex.org/W2963076818","https://openalex.org/W2963351113","https://openalex.org/W2963369114","https://openalex.org/W2963603520","https://openalex.org/W2963830382","https://openalex.org/W2964037671","https://openalex.org/W2964060161","https://openalex.org/W2964134613","https://openalex.org/W2964145825","https://openalex.org/W2964321699","https://openalex.org/W2965909452","https://openalex.org/W2966210862","https://openalex.org/W2970934252","https://openalex.org/W3005680577","https://openalex.org/W3009623812","https://openalex.org/W3019142091","https://openalex.org/W3034548564","https://openalex.org/W3034693603","https://openalex.org/W3035225512","https://openalex.org/W3036446966","https://openalex.org/W3048128472","https://openalex.org/W3092424783","https://openalex.org/W3096609285","https://openalex.org/W3099152386","https://openalex.org/W3105195350","https://openalex.org/W3106615203","https://openalex.org/W3113067059","https://openalex.org/W3143778492","https://openalex.org/W3156509901","https://openalex.org/W3168649818","https://openalex.org/W3169413442","https://openalex.org/W3205106480","https://openalex.org/W3216909972","https://openalex.org/W4200634815","https://openalex.org/W4226027695","https://openalex.org/W4292793967","https://openalex.org/W4312245820","https://openalex.org/W4362029926","https://openalex.org/W4385245566","https://openalex.org/W6635446068","https://openalex.org/W6640754710","https://openalex.org/W6680300913","https://openalex.org/W6713582119","https://openalex.org/W6720006811","https://openalex.org/W6739901393","https://openalex.org/W6774314701","https://openalex.org/W6774352276","https://openalex.org/W6778485988","https://openalex.org/W6779518175","https://openalex.org/W6788136367","https://openalex.org/W6810267652","https://openalex.org/W6810268091"],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W2334655667","https://openalex.org/W2464530384","https://openalex.org/W2105938841","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W1576128429","https://openalex.org/W4399611050","https://openalex.org/W2269464716","https://openalex.org/W3170431411"],"abstract_inverted_index":{"For":[0,54],"pursuing":[1],"accurate":[2],"skeleton-based":[3],"action":[4,51,97,114,124,183,195,200,248],"recognition,":[5],"most":[6],"prior":[7],"methods":[8,20],"use":[9],"the":[10,28,43,46,66,100,105,117,123,142,146,156,170,182,187,191,205,229],"strategy":[11],"of":[12,104,136,141,155,194],"combining":[13],"Graph":[14,82],"Convolution":[15,83],"Networks":[16],"(GCNs)":[17],"with":[18,221],"attention-based":[19],"in":[21,36,50,71,165,217,247],"a":[22,32,58,72,166],"serial":[23],"way.":[24,74],"However,":[25],"they":[26,173],"regard":[27],"human":[29,106],"skeleton":[30],"as":[31,161,163],"complete":[33],"graph,":[34],"resulting":[35],"less":[37],"variations":[38],"between":[39,45,190],"different":[40,132],"actions":[41],"(e.g.,":[42],"connection":[44],"elbow":[47],"and":[48,68,86,134],"head":[49],"\u201cclapping":[52],"hands\u201d).":[53],"this,":[55],"we":[56,144,203],"propose":[57],"novel":[59],"Contrastive":[60],"GCN-Transformer":[61],"Network":[62],"(ConGT)":[63],"which":[64,210,239],"fuses":[65],"spatial":[67],"temporal":[69],"modules":[70],"parallel":[73,79],"The":[75,91,108],"ConGT":[76],"involves":[77],"two":[78,129,192],"streams:":[80],"Spatial-Temporal":[81,87],"stream":[84,89],"(STG)":[85],"Transformer":[88],"(STT).":[90],"STG":[92],"is":[93,110],"designed":[94],"to":[95,112,150,159,180],"obtain":[96],"representations":[98,115,125,154],"maintaining":[99],"natural":[101],"topology":[102],"structure":[103],"skeleton.":[107],"STT":[109],"devised":[111],"acquire":[113],"containing":[116],"global":[118],"relationships":[119],"among":[120],"joints.":[121],"Since":[122],"produced":[126],"from":[127,177],"these":[128],"streams":[130],"contain":[131],"characteristics,":[133],"each":[135,178],"them":[137],"knows":[138],"little":[139],"information":[140,176,189],"other,":[143],"introduce":[145,204],"contrastive":[147,171],"learning":[148],"paradigm":[149],"guide":[151],"their":[152],"output":[153],"same":[157],"sample":[158],"be":[160],"close":[162],"possible":[164],"self-supervised":[167],"manner.":[168],"Through":[169],"learning,":[172],"can":[174,211],"learn":[175],"other":[179],"enrich":[181],"features":[184],"by":[185],"maximizing":[186],"mutual":[188],"types":[193],"representations.":[196],"To":[197],"further":[198],"improve":[199],"recognition":[201],"accuracy,":[202],"Cyclical":[206],"Focal":[207],"Loss":[208],"(CFL)":[209],"focus":[212,224],"on":[213,225,235],"confident":[214],"training":[215,219],"samples":[216,227],"early":[218],"epochs,":[220],"an":[222],"increasing":[223],"hard":[226],"during":[228],"middle":[230],"epochs.":[231],"We":[232],"conduct":[233],"experiments":[234],"three":[236],"benchmark":[237],"datasets,":[238],"demonstrate":[240],"that":[241],"our":[242],"model":[243],"achieves":[244],"state-of-the-art":[245],"performance":[246],"recognition.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":4}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}