{"id":"https://openalex.org/W4316925075","doi":"https://doi.org/10.1109/ijcb54206.2022.10007979","title":"Which One is Better? Self-supervised Temporal Coherence Learning for Skeleton Based Action Recognition","display_name":"Which One is Better? Self-supervised Temporal Coherence Learning for Skeleton Based Action Recognition","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4316925075","doi":"https://doi.org/10.1109/ijcb54206.2022.10007979"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb54206.2022.10007979","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb54206.2022.10007979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008067346","display_name":"Bizhu Wu","orcid":"https://orcid.org/0000-0002-6783-6561"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bizhu Wu","raw_affiliation_strings":["Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University,China","Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070523720","display_name":"Mingyan Wu","orcid":"https://orcid.org/0000-0003-2610-285X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyan Wu","raw_affiliation_strings":["Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University,China","Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022571131","display_name":"Haoqin Ji","orcid":"https://orcid.org/0000-0002-8360-0575"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoqin Ji","raw_affiliation_strings":["Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University,China","Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019313200","display_name":"Linlin Shen","orcid":"https://orcid.org/0000-0003-1420-0815"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Shen","raw_affiliation_strings":["Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University,China","Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20113279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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":0.9955000281333923,"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":0.9941999912261963,"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/pretext","display_name":"Pretext","score":0.8023464679718018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.720866858959198},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.7115232944488525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7050465941429138},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6514228582382202},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5720461010932922},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5102288722991943},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.44462600350379944},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42502203583717346},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4213283658027649},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.41808566451072693},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4135409891605377},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4131508469581604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36889714002609253},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.23991689085960388},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1353779137134552},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08420112729072571}],"concepts":[{"id":"https://openalex.org/C2779627259","wikidata":"https://www.wikidata.org/wiki/Q779763","display_name":"Pretext","level":3,"score":0.8023464679718018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.720866858959198},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.7115232944488525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050465941429138},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6514228582382202},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5720461010932922},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5102288722991943},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.44462600350379944},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42502203583717346},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4213283658027649},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.41808566451072693},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4135409891605377},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4131508469581604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36889714002609253},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.23991689085960388},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1353779137134552},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08420112729072571},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb54206.2022.10007979","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb54206.2022.10007979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1926645898","https://openalex.org/W1950788856","https://openalex.org/W2096733369","https://openalex.org/W2246109068","https://openalex.org/W2326925005","https://openalex.org/W2487442924","https://openalex.org/W2550462002","https://openalex.org/W2559085405","https://openalex.org/W2603861860","https://openalex.org/W2604321021","https://openalex.org/W2619947201","https://openalex.org/W2751841288","https://openalex.org/W2799211965","https://openalex.org/W2887997457","https://openalex.org/W2940457086","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2950568498","https://openalex.org/W2962700525","https://openalex.org/W2962931121","https://openalex.org/W2963076818","https://openalex.org/W2963426332","https://openalex.org/W2963684088","https://openalex.org/W2963814513","https://openalex.org/W2964134613","https://openalex.org/W2997907976","https://openalex.org/W3042401381","https://openalex.org/W3103184573","https://openalex.org/W3203514840","https://openalex.org/W6681270988","https://openalex.org/W6685352114","https://openalex.org/W6754278344","https://openalex.org/W6955071965","https://openalex.org/W7015890786"],"related_works":["https://openalex.org/W161456234","https://openalex.org/W3123043866","https://openalex.org/W2765162471","https://openalex.org/W2367130511","https://openalex.org/W4235007455","https://openalex.org/W2354300066","https://openalex.org/W2004108207","https://openalex.org/W2182357018","https://openalex.org/W4399611050","https://openalex.org/W3170431411"],"abstract_inverted_index":{"Recently,":[0],"researchers":[1],"have":[2],"achieved":[3],"significant":[4,119],"results":[5],"in":[6,25,121],"the":[7,16,22,26,36,66,105,137],"skeleton":[8,17,41,48,72,101],"based":[9],"action":[10,75],"recognition":[11,122],"task.":[12],"To":[13],"better":[14],"model":[15],"sequences,":[18],"existing":[19],"methods":[20],"learned":[21],"feature":[23],"representations":[24],"self-supervised":[27],"setting":[28],"by":[29],"solving":[30],"pretext":[31,56,83,129],"tasks,":[32],"such":[33,126],"as":[34],"predicting":[35],"order":[37],"of":[38],"a":[39,46,70,80,127],"shuffled":[40,51,100],"sequence":[42,49],"or":[43,52,62],"verifying":[44],"whether":[45],"given":[47,98],"is":[50,94,131],"not.":[53],"However,":[54],"these":[55],"tasks":[57],"are":[58],"either":[59],"too":[60,63],"challenging":[61],"easy":[64],"for":[65,74],"encoder":[67,138],"to":[68,90,135,139],"obtain":[69],"proper":[71],"representation":[73],"recognition.":[76],"Therefore,":[77],"we":[78],"propose":[79],"novel":[81],"self-pretraining":[82],"task,":[84],"Which":[85],"One":[86],"Is":[87],"Better":[88],"(WOIB),":[89],"identify":[91],"which":[92],"one":[93],"more":[95,141],"temporally":[96],"coherent,":[97],"two":[99],"sequences.":[102],"Experiments":[103],"on":[104],"NTU":[106,108],"RGB+D,":[107],"RGB+D":[109],"120,":[110],"and":[111,133],"Kinetics-Skeleton":[112],"datasets":[113],"with":[114],"different":[115],"network":[116],"architectures":[117],"show":[118],"improvements":[120],"accuracy,":[123],"demonstrating":[124],"that":[125],"well-designed":[128],"task":[130],"general":[132],"able":[134],"drive":[136],"learn":[140],"discriminative":[142],"representations.":[143]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
