{"id":"https://openalex.org/W4379984420","doi":"https://doi.org/10.1109/tcsvt.2023.3284493","title":"SSRL: Self-Supervised Spatial-Temporal Representation Learning for 3D Action Recognition","display_name":"SSRL: Self-Supervised Spatial-Temporal Representation Learning for 3D Action Recognition","publication_year":2023,"publication_date":"2023-06-09","ids":{"openalex":"https://openalex.org/W4379984420","doi":"https://doi.org/10.1109/tcsvt.2023.3284493"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3284493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3284493","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/A5085949548","display_name":"Zhihao Jin","orcid":"https://orcid.org/0000-0003-0507-0035"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihao Jin","raw_affiliation_strings":["Department of Computer Science and Technology, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398566","display_name":"Yifan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Wang","raw_affiliation_strings":["College of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090796235","display_name":"Qicong Wang","orcid":"https://orcid.org/0000-0001-7324-0433"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qicong Wang","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Brunel University London, Uxbridge, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Brunel University London, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047980519","display_name":"Yehu Shen","orcid":"https://orcid.org/0000-0002-8917-719X"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yehu Shen","raw_affiliation_strings":["College of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108055798","display_name":"Hongying Meng","orcid":"https://orcid.org/0000-0002-8836-1382"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hongying Meng","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Brunel University London, Uxbridge, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Brunel University London, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5085949548"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":2.8887,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92643059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"34","issue":"1","first_page":"274","last_page":"285"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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/computer-science","display_name":"Computer science","score":0.720201849937439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6341526508331299},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6159892082214355},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5316223502159119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5235775709152222},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4857821762561798},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4691162407398224},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.10173606872558594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720201849937439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6341526508331299},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6159892082214355},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5316223502159119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5235775709152222},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4857821762561798},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4691162407398224},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.10173606872558594},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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":2,"locations":[{"id":"doi:10.1109/tcsvt.2023.3284493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3284493","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"},{"id":"pmh:oai:bura.brunel.ac.uk:2438/26708","is_oa":false,"landing_page_url":"https://bura.brunel.ac.uk/handle/2438/26708","pdf_url":null,"source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1009464820","display_name":null,"funder_award_id":"51975394","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3205236612","display_name":null,"funder_award_id":"2023J01003","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1899504021","https://openalex.org/W1950788856","https://openalex.org/W1989665047","https://openalex.org/W2048821851","https://openalex.org/W2056898157","https://openalex.org/W2143267104","https://openalex.org/W2187089797","https://openalex.org/W2321533354","https://openalex.org/W2415469094","https://openalex.org/W2442651457","https://openalex.org/W2487442924","https://openalex.org/W2519711346","https://openalex.org/W2604321021","https://openalex.org/W2782776028","https://openalex.org/W2785325870","https://openalex.org/W2787919227","https://openalex.org/W2792140610","https://openalex.org/W2798991696","https://openalex.org/W2842511635","https://openalex.org/W2940457086","https://openalex.org/W2942750779","https://openalex.org/W2944006115","https://openalex.org/W2945358262","https://openalex.org/W2948058585","https://openalex.org/W2963282966","https://openalex.org/W2963692464","https://openalex.org/W2963814513","https://openalex.org/W2964060161","https://openalex.org/W2964134613","https://openalex.org/W2971486392","https://openalex.org/W2994857106","https://openalex.org/W3009561768","https://openalex.org/W3014565582","https://openalex.org/W3033793613","https://openalex.org/W3034548564","https://openalex.org/W3035225512","https://openalex.org/W3035524453","https://openalex.org/W3047772167","https://openalex.org/W3081111248","https://openalex.org/W3092424783","https://openalex.org/W3103184573","https://openalex.org/W3104591054","https://openalex.org/W3105195350","https://openalex.org/W3108655343","https://openalex.org/W3156509901","https://openalex.org/W3169413442","https://openalex.org/W3176780013","https://openalex.org/W3201541489","https://openalex.org/W3203227473","https://openalex.org/W3203634062","https://openalex.org/W3205106480","https://openalex.org/W3209892011","https://openalex.org/W3216909972","https://openalex.org/W4200634815","https://openalex.org/W4225665842","https://openalex.org/W4226027695","https://openalex.org/W4226204352","https://openalex.org/W4288064503","https://openalex.org/W4292829079","https://openalex.org/W4297808394","https://openalex.org/W4312894178","https://openalex.org/W6747899497","https://openalex.org/W6766978945","https://openalex.org/W6774670964","https://openalex.org/W6779997284","https://openalex.org/W6804435382"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W4324271173","https://openalex.org/W2755342338","https://openalex.org/W1967645776","https://openalex.org/W1576128429","https://openalex.org/W2269464716"],"abstract_inverted_index":{"For":[0],"3D":[1],"action":[2,103],"recognition,":[3],"the":[4,61,69,80,92,97,122,127,147],"main":[5],"challenge":[6],"is":[7],"to":[8,24,48,63,114],"extract":[9],"long-range":[10,27],"semantic":[11,28,66],"information":[12,29,67],"in":[13,22,68,163],"both":[14],"temporal":[15,70,76,81],"and":[16,71,131,179],"spatial":[17,72,93],"dimensions.":[18],"In":[19],"this":[20],"paper,":[21],"order":[23],"better":[25,161],"excavate":[26],"from":[30],"large":[31],"number":[32],"of":[33,54,83,101,129,149,171],"unlabelled":[34],"skeleton":[35,50,89,107],"sequences,":[36],"we":[37],"propose":[38],"Self-supervised":[39],"Spatial-temporal":[40],"Representation":[41],"Learning":[42],"(SSRL),":[43],"a":[44,169],"contrastive":[45],"learning":[46],"framework":[47,138],"learn":[49,64],"representation.":[51],"SSRL":[52],"consists":[53],"two":[55,111,118],"novel":[56],"inference":[57,77,94],"tasks":[58,119],"that":[59,155],"enable":[60],"network":[62],"global":[65],"dimensions,":[73],"respectively.":[74],"The":[75],"task":[78,95],"learns":[79,96,139],"persistence":[82],"human":[84,102],"actions":[85],"through":[86,104],"temporally":[87],"incomplete":[88],"sequences.":[90],"And":[91],"spatially":[98,105],"coordinated":[99],"nature":[100],"partially":[106],"sequence.":[108],"We":[109],"design":[110],"transformation":[112],"modules":[113],"efficiently":[115],"realize":[116],"these":[117],"while":[120],"fitting":[121],"encoder":[123],"network.":[124],"To":[125],"avoid":[126],"difficulty":[128],"constructing":[130],"maintaining":[132,141],"high-quality":[133],"negative":[134,151],"samples,":[135],"our":[136,156],"proposed":[137,157],"by":[140],"consistency":[142],"among":[143],"positive":[144],"samples":[145],"without":[146],"need":[148],"any":[150],"sample.":[152],"Experiments":[153],"demonstrate":[154],"method":[158],"can":[159],"achieve":[160],"results":[162],"comparison":[164],"with":[165],"state-of-the-art":[166],"methods":[167],"under":[168],"variety":[170],"evaluation":[172],"protocols":[173],"on":[174],"NTU":[175,180],"RGB+D":[176,181],"60,":[177],"PKU-MMD":[178],"120":[182],"datasets.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}