{"id":"https://openalex.org/W4415353215","doi":"https://doi.org/10.1109/tcsvt.2025.3623160","title":"Momentum Centroid Alignment With Temporal-Relational Disentanglement for Cross-Domain Few-Shot Action Recognition","display_name":"Momentum Centroid Alignment With Temporal-Relational Disentanglement for Cross-Domain Few-Shot Action Recognition","publication_year":2025,"publication_date":"2025-10-20","ids":{"openalex":"https://openalex.org/W4415353215","doi":"https://doi.org/10.1109/tcsvt.2025.3623160"},"language":null,"primary_location":{"id":"doi:10.1109/tcsvt.2025.3623160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3623160","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/A5055448156","display_name":"Fei Guo","orcid":"https://orcid.org/0009-0002-5209-2309"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Guo","raw_affiliation_strings":["School of Software Engineering, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0002-5209-2309","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006736414","display_name":"Xuetao Zhang","orcid":"https://orcid.org/0000-0002-4534-1488"},"institutions":[{"id":"https://openalex.org/I4210145386","display_name":"National Intelligence University","ror":"https://ror.org/049sfwc36","country_code":"US","type":"education","lineage":["https://openalex.org/I4210145386"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuetao Zhang","raw_affiliation_strings":["National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China","Institute of Artificial Intelligence and Robotics, National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, Xi’an Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0002-4534-1488","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, Xi’an Jiaotong University, China","institution_ids":["https://openalex.org/I4210145386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101178000","display_name":"Han Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Qi","raw_affiliation_strings":["School of Software Engineering, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0001-7684-9882","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107880464","display_name":"Lingyu Liu","orcid":"https://orcid.org/0000-0002-0842-2027"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyu Liu","raw_affiliation_strings":["School of Software Engineering, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-0842-2027","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103197521","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0001-9834-2081"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["School of Software Engineering, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-9834-2081","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635252","display_name":"Li Zhu","orcid":"https://orcid.org/0000-0003-2136-3196"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhu","raw_affiliation_strings":["School of Software Engineering, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-2136-3196","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055448156"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14994498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"4","first_page":"4814","last_page":"4826"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996399998664856,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9962999820709229,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9628999829292297,"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/centroid","display_name":"Centroid","score":0.8309000134468079},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.692799985408783},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6003999710083008},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5896999835968018},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5760999917984009},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5612000226974487},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5396000146865845},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5325999855995178}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.8309000134468079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720300018787384},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.692799985408783},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6003999710083008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5976999998092651},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5896999835968018},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5760999917984009},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5612000226974487},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5396000146865845},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5325999855995178},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4034999907016754},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.35989999771118164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3495999872684479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3361000120639801},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.3125999867916107},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28780001401901245},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.26899999380111694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3623160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3623160","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"few-shot":[1,81,208,218],"action":[2,14,20,82],"recognition":[3,18,83],"(FSAR)":[4],"aims":[5],"to":[6,63,75,89,103,128,186],"address":[7],"the":[8,11,17,33,36,40,47,67,77,91,105,123,136,143,148,153,164,167,171,188,192,226,242],"problem":[9,78],"of":[10,13,19,69,79,122,166,170,191,228,232],"scarcity":[12],"videos,":[15],"enabling":[16],"categories":[21],"with":[22],"just":[23],"a":[24,118,176],"few":[25],"labeled":[26],"samples.":[27],"It":[28],"is":[29,88],"generally":[30],"believed":[31],"that":[32,213],"samples":[34],"in":[35,51,66,151,159],"meta-training":[37],"phase":[38,42],"and":[39,98,138,146,155,174],"meta-testing":[41],"are":[43],"all":[44],"drawn":[45],"from":[46,57],"same":[48],"domain.":[49],"However,":[50],"practical":[52],"applications,":[53],"they":[54],"often":[55],"come":[56],"different":[58],"domains,":[59],"which":[60],"may":[61],"lead":[62],"significant":[64],"differences":[65],"distribution":[68],"spatiotemporal":[70],"features.":[71,132],"Researchers":[72],"have":[73],"started":[74],"study":[76],"cross-domain":[80],"(CDFSAR).":[84],"The":[85],"current":[86],"solution":[87],"train":[90],"model":[92],"by":[93],"combining":[94],"source":[95,137,154,193,204],"domain":[96,101,126,140,173,194,205,223],"video":[97,102],"unlabeled":[99,124,233],"target":[100,125,139,156,172,234],"improve":[104],"model\u2019s":[106],"generalization":[107],"ability.":[108],"In":[109],"this":[110,114,180,196],"paper,":[111],"we":[112,134,162,200],"follow":[113],"paradigm":[115],"but":[116],"make":[117],"more":[119],"refined":[120,230],"use":[121,184,201,231],"videos":[127,141],"better":[129],"extract":[130,147],"transferable":[131],"First,":[133],"decouple":[135],"along":[142],"temporal":[144],"dimension":[145],"domain-irrelevant":[149,168,189],"features":[150,169,190,206],"both":[152],"domains.":[157],"Second,":[158],"each":[160],"episode,":[161],"calculate":[163],"centroid":[165],"perform":[175],"momentum":[177],"update":[178],"on":[179],"feature":[181],"centroid.":[182,198],"We":[183],"Cross-Attention":[185],"align":[187],"toward":[195],"dynamic":[197],"Finally,":[199],"these":[202],"aligned":[203],"for":[207],"classification.":[209],"Experimental":[210],"results":[211],"demonstrate":[212],"our":[214,229],"approach":[215],"significantly":[216],"improves":[217],"classification":[219],"performance":[220],"across":[221],"diverse":[222],"shifts,":[224],"validating":[225],"effectiveness":[227],"video.":[235],"Our":[236],"code":[237],"has":[238],"been":[239],"published":[240],"at":[241],"URL:":[243],"https://github.com/cofly2014/MCA-TRD.git.":[244]},"counts_by_year":[],"updated_date":"2026-04-07T06:01:17.266235","created_date":"2025-10-21T00:00:00"}