{"id":"https://openalex.org/W4407031981","doi":"https://doi.org/10.1145/3715917","title":"Dual-Domain Triple Contrast for Cross-Dataset Skeleton-Based Action Recognition","display_name":"Dual-Domain Triple Contrast for Cross-Dataset Skeleton-Based Action Recognition","publication_year":2025,"publication_date":"2025-01-31","ids":{"openalex":"https://openalex.org/W4407031981","doi":"https://doi.org/10.1145/3715917"},"language":"en","primary_location":{"id":"doi:10.1145/3715917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715917","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5042411401","display_name":"Kun Wang","orcid":"https://orcid.org/0000-0002-6735-7667"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Wang","raw_affiliation_strings":["Southeast University, Nanjing, China","Southeast University, China"],"raw_orcid":"https://orcid.org/0000-0002-6735-7667","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012384188","display_name":"Jiuxin Cao","orcid":"https://orcid.org/0000-0002-2448-6717"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuxin Cao","raw_affiliation_strings":["Southeast University, Nanjing, China","Southeast University, China"],"raw_orcid":"https://orcid.org/0000-0002-2448-6717","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018527272","display_name":"Jiawei Ge","orcid":"https://orcid.org/0000-0001-7268-7815"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Ge","raw_affiliation_strings":["Southeast University, Nanjing, China","Southeast University, China"],"raw_orcid":"https://orcid.org/0000-0001-7268-7815","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102824119","display_name":"Chang Liu","orcid":"https://orcid.org/0009-0005-3136-0484"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Southeast University, Nanjing, China","Southeast University, China"],"raw_orcid":"https://orcid.org/0009-0003-3865-2434","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100461575","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0001-5209-9063"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["Southeast University, Nanjing, China","Southeast University, China"],"raw_orcid":"https://orcid.org/0000-0001-5209-9063","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042411401"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01080152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"4","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9934999942779541,"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":0.9824000000953674,"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":0.8771198987960815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6908247470855713},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5991482734680176},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5902653932571411},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5344585180282593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5307759046554565},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46979057788848877},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.45503637194633484},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4406544864177704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4300919473171234},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.08592557907104492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8771198987960815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6908247470855713},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5991482734680176},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5902653932571411},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5344585180282593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5307759046554565},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46979057788848877},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.45503637194633484},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4406544864177704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4300919473171234},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.08592557907104492},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3715917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715917","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2176857478","display_name":null,"funder_award_id":"62472092, 62172089, 62106045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2058256495","https://openalex.org/W2442651457","https://openalex.org/W2593146028","https://openalex.org/W2615497679","https://openalex.org/W2716916105","https://openalex.org/W2784435047","https://openalex.org/W2787919227","https://openalex.org/W2810685774","https://openalex.org/W2963282966","https://openalex.org/W2964134613","https://openalex.org/W3006198072","https://openalex.org/W3038649929","https://openalex.org/W3081111248","https://openalex.org/W3092424783","https://openalex.org/W3093751392","https://openalex.org/W3094277917","https://openalex.org/W3105195350","https://openalex.org/W3111746241","https://openalex.org/W3113067059","https://openalex.org/W3174836262","https://openalex.org/W3183338752","https://openalex.org/W3203227473","https://openalex.org/W3205106480","https://openalex.org/W4200634815","https://openalex.org/W4282981352","https://openalex.org/W4283396563","https://openalex.org/W4295957147","https://openalex.org/W4297969478","https://openalex.org/W4310827521","https://openalex.org/W4382203207","https://openalex.org/W4382459184","https://openalex.org/W4393170627","https://openalex.org/W4400618545","https://openalex.org/W4402027374","https://openalex.org/W6600050674","https://openalex.org/W6637618735","https://openalex.org/W6750109254"],"related_works":["https://openalex.org/W4388870064","https://openalex.org/W2210139803","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2056057048","https://openalex.org/W2667588871","https://openalex.org/W2272354214","https://openalex.org/W2084768720","https://openalex.org/W2043010663","https://openalex.org/W4248308508"],"abstract_inverted_index":{"Skeleton-based":[0],"Action":[1],"Recognition":[2],"(SAR)":[3],"is":[4,50],"widely":[5],"recognized":[6],"for":[7,70],"its":[8,17,182],"robustness":[9],"and":[10,118,126,141,153,188],"efficiency":[11],"in":[12,19,184],"human":[13],"action":[14],"analysis,":[15],"but":[16],"performance":[18],"cross-dataset":[20,40,71,169,190],"tasks":[21],"has":[22],"been":[23],"limited":[24],"due":[25],"to":[26,97,158],"domain":[27,53,139,186],"shifts":[28],"between":[29],"different":[30],"datasets.":[31],"To":[32],"address":[33],"this":[34,60],"challenge,":[35],"current":[36],"methods":[37,80,157],"typically":[38],"approach":[39],"SAR":[41,72,191],"as":[42],"an":[43],"Unsupervised":[44],"Domain":[45],"Adaptation":[46],"(UDA)":[47],"task,":[48],"which":[49],"tackled":[51],"using":[52],"adaptation":[54],"or":[55,88],"self-supervised":[56],"learning":[57,96],"strategies.":[58],"In":[59],"article,":[61],"we":[62,148],"propose":[63],"a":[64,85,102],"Dual-Domain":[65],"Triple":[66],"Contrast":[67],"(D2TC)":[68],"framework":[69,177],"under":[73],"the":[74,138,143,161,172],"UDA":[75,79,119],"setting.":[76],"Unlike":[77],"existing":[78],"that":[81],"either":[82],"focus":[83],"on":[84,167,197],"single":[86],"strategy":[87],"superficially":[89],"combine":[90],"strategies,":[91],"our":[92,175],"D2TC":[93,176],"leverages":[94],"contrastive":[95,110],"integrate":[98],"both":[99,124],"strategies":[100],"into":[101],"unified":[103],"framework.":[104],"It":[105],"performs":[106],"three":[107],"types":[108],"of":[109,174],"learning:":[111],"Self-Supervised":[112],"Contrastive":[113,116,121],"Learning,":[114,117,122],"Supervised":[115],"with":[120],"across":[123],"source":[125],"target":[127],"domains.":[128],"The":[129,193],"triple":[130],"contrasts":[131],"go":[132],"beyond":[133],"mere":[134],"summation,":[135],"effectively":[136],"bridging":[137],"gap":[140],"enhancing":[142],"model\u2019s":[144],"representational":[145],"capacity.":[146],"Additionally,":[147],"introduce":[149],"multi-modal":[150],"ensemble":[151],"contrast":[152],"extreme":[154],"skeleton":[155],"augmentation":[156],"further":[159],"enhance":[160],"skeleton-based":[162],"representation":[163],"learning.":[164],"Extensive":[165],"experiments":[166],"six":[168],"settings":[170],"validate":[171],"superiority":[173],"over":[178],"state-of-the-art":[179],"methods,":[180],"demonstrating":[181],"effectiveness":[183],"reducing":[185],"discrepancies":[187],"improving":[189],"performance.":[192],"codes":[194],"are":[195],"available":[196],"https://github.com/KennCoder7/DualDomainTripleContrast":[198],".":[199]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}