{"id":"https://openalex.org/W4393241104","doi":"https://doi.org/10.1109/tpami.2024.3382117","title":"Hypergraph-Based Multi-View Action Recognition Using Event Cameras","display_name":"Hypergraph-Based Multi-View Action Recognition Using Event Cameras","publication_year":2024,"publication_date":"2024-03-27","ids":{"openalex":"https://openalex.org/W4393241104","doi":"https://doi.org/10.1109/tpami.2024.3382117","pmid":"https://pubmed.ncbi.nlm.nih.gov/38536691"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3382117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3382117","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.19316","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100602494","display_name":"Yue Gao","orcid":"https://orcid.org/0000-0002-4971-590X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Gao","raw_affiliation_strings":["BNRist, THUIBCS, BLBCI, School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4971-590X","affiliations":[{"raw_affiliation_string":"BNRist, THUIBCS, BLBCI, School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004440149","display_name":"Jiaxuan Lu","orcid":"https://orcid.org/0000-0003-3566-3050"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxuan Lu","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3566-3050","affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336543","display_name":"Siqi Li","orcid":"https://orcid.org/0000-0001-9720-826X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Li","raw_affiliation_strings":["BNRist, THUIBCS, BLBCI, School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9720-826X","affiliations":[{"raw_affiliation_string":"BNRist, THUIBCS, BLBCI, School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101799190","display_name":"Yipeng Li","orcid":"https://orcid.org/0000-0001-9099-4077"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yipeng Li","raw_affiliation_strings":["Department of Automation, BNRist, THUIBCS, BLBCI, Tsinghua University, Beijing, China","BNRist, THUIBCS, BLBCI, Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9099-4077","affiliations":[{"raw_affiliation_string":"Department of Automation, BNRist, THUIBCS, BLBCI, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"BNRist, THUIBCS, BLBCI, Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044668212","display_name":"Shaoyi Du","orcid":"https://orcid.org/0000-0002-7092-0596"},"institutions":[{"id":"https://openalex.org/I4210131893","display_name":"Second Affiliated Hospital of Xi'an Jiaotong University","ror":"https://ror.org/03aq7kf18","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210131893"]},{"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":"Shaoyi Du","raw_affiliation_strings":["Department of Ultrasound, The Second Affiliated Hospital of Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-7092-0596","affiliations":[{"raw_affiliation_string":"Department of Ultrasound, The Second Affiliated Hospital of Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210131893"]},{"raw_affiliation_string":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1608,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92561249,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"46","issue":"10","first_page":"6610","last_page":"6622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10036","display_name":"Advanced Neural Network Applications","score":0.989799976348877,"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":0.7803443670272827},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.71788090467453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6429497599601746},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.638229489326477},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.49124664068222046},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4765082895755768},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45614808797836304},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4378366470336914},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4262068271636963},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3563659191131592},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3353179395198822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7803443670272827},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.71788090467453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6429497599601746},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.638229489326477},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.49124664068222046},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4765082895755768},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45614808797836304},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4378366470336914},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4262068271636963},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3563659191131592},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3353179395198822},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2024.3382117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3382117","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38536691","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38536691","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:2403.19316","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.19316","pdf_url":"https://arxiv.org/pdf/2403.19316","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2403.19316","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.19316","pdf_url":"https://arxiv.org/pdf/2403.19316","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7091651887","display_name":null,"funder_award_id":"62021002","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393241104.pdf","grobid_xml":"https://content.openalex.org/works/W4393241104.grobid-xml"},"referenced_works_count":100,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W914561379","https://openalex.org/W1501856433","https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1895914852","https://openalex.org/W1944615693","https://openalex.org/W1975697167","https://openalex.org/W2012602073","https://openalex.org/W2054041160","https://openalex.org/W2106233887","https://openalex.org/W2108598243","https://openalex.org/W2116341502","https://openalex.org/W2117506486","https://openalex.org/W2130459697","https://openalex.org/W2132870234","https://openalex.org/W2149338181","https://openalex.org/W2169560406","https://openalex.org/W2170057991","https://openalex.org/W2194775991","https://openalex.org/W2337252826","https://openalex.org/W2342662179","https://openalex.org/W2405933695","https://openalex.org/W2507009361","https://openalex.org/W2507540959","https://openalex.org/W2519758495","https://openalex.org/W2591711955","https://openalex.org/W2613635555","https://openalex.org/W2765433083","https://openalex.org/W2788919350","https://openalex.org/W2796402180","https://openalex.org/W2809343047","https://openalex.org/W2810685774","https://openalex.org/W2868755588","https://openalex.org/W2892880750","https://openalex.org/W2894942405","https://openalex.org/W2897682634","https://openalex.org/W2904275768","https://openalex.org/W2921082809","https://openalex.org/W2942896434","https://openalex.org/W2944006115","https://openalex.org/W2951417227","https://openalex.org/W2963076818","https://openalex.org/W2963127485","https://openalex.org/W2963524571","https://openalex.org/W2964094092","https://openalex.org/W2964191259","https://openalex.org/W2964321699","https://openalex.org/W2972000740","https://openalex.org/W2981385151","https://openalex.org/W2987260487","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W2990654629","https://openalex.org/W2995896027","https://openalex.org/W2998008360","https://openalex.org/W3016922390","https://openalex.org/W3040115141","https://openalex.org/W3086367042","https://openalex.org/W3090359064","https://openalex.org/W3091166046","https://openalex.org/W3094036428","https://openalex.org/W3102178346","https://openalex.org/W3104355095","https://openalex.org/W3104432418","https://openalex.org/W3106918697","https://openalex.org/W3111213018","https://openalex.org/W3129478823","https://openalex.org/W3163388905","https://openalex.org/W3189897383","https://openalex.org/W3198348902","https://openalex.org/W3203926970","https://openalex.org/W4200547057","https://openalex.org/W4243569505","https://openalex.org/W4249279051","https://openalex.org/W4253803843","https://openalex.org/W4287749054","https://openalex.org/W4295312788","https://openalex.org/W4303982493","https://openalex.org/W4310298833","https://openalex.org/W4312245820","https://openalex.org/W4313003697","https://openalex.org/W4317038419","https://openalex.org/W4318618520","https://openalex.org/W4319299787","https://openalex.org/W4319300928","https://openalex.org/W4385453100","https://openalex.org/W6600983433","https://openalex.org/W6631190155","https://openalex.org/W6635070415","https://openalex.org/W6674987968","https://openalex.org/W6682864246","https://openalex.org/W6685350579","https://openalex.org/W6731811539","https://openalex.org/W6760180507","https://openalex.org/W6766978945","https://openalex.org/W6769472948","https://openalex.org/W6783132704","https://openalex.org/W6797333116","https://openalex.org/W6810055804"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W4233821346"],"abstract_inverted_index":{"Action":[0],"recognition":[1,13,91],"from":[2,31,172],"video":[3],"data":[4,67,97],"forms":[5],"a":[6,21,62,106,123],"cornerstone":[7],"with":[8],"wide-ranging":[9],"applications.":[10],"Single-view":[11],"action":[12,51,90,162,204],"faces":[14],"limitations":[15],"due":[16],"to":[17,47],"its":[18],"reliance":[19],"on":[20,58],"single":[22],"viewpoint.":[23],"In":[24],"contrast,":[25],"multi-view":[26,65,88,124,160,203],"approaches":[27],"capture":[28],"complementary":[29],"information":[30,73],"various":[32],"viewpoints":[33],"for":[34,146],"improved":[35],"accuracy.":[36],"Recently,":[37],"event":[38,66,96],"cameras":[39],"have":[40],"emerged":[41],"as":[42,113],"innovative":[43],"bio-inspired":[44],"sensors,":[45],"leading":[46],"advancements":[48],"in":[49,64,70,153,190,201],"event-based":[50,89,161],"recognition.":[52,205],"However,":[53],"existing":[54,177],"works":[55],"predominantly":[56],"focus":[57],"single-view":[59],"scenarios,":[60,195],"leaving":[61],"gap":[63],"exploitation,":[68],"particularly":[69],"challenges":[71],"like":[72],"deficit":[74],"and":[75,101,115,120,133,193,196],"semantic":[76],"misalignment.":[77],"To":[78,150],"bridge":[79],"this":[80,154],"gap,":[81],"we":[82,156],"introduce":[83],"<bold":[84],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[85,165],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">HyperMV</b>":[86],",":[87,168],"framework.":[92],"HyperMV":[93,186],"converts":[94],"discrete":[95],"into":[98],"frame-like":[99],"representations":[100],"extracts":[102],"view-related":[103],"features":[104,135],"using":[105,118],"shared":[107],"convolutional":[108],"network.":[109],"By":[110],"treating":[111],"segments":[112],"vertices":[114],"constructing":[116],"hyperedges":[117],"rule-based":[119],"KNN-based":[121],"strategies,":[122],"hypergraph":[125,141],"neural":[126],"network":[127],"that":[128,185],"captures":[129],"relationships":[130],"across":[131],"viewpoint":[132],"temporal":[134],"is":[136,143],"established.":[137],"The":[138],"vertex":[139],"attention":[140],"propagation":[142],"also":[144,197],"introduced":[145],"enhanced":[147],"feature":[148],"fusion.":[149],"prompt":[151],"research":[152],"area,":[155],"present":[157],"the":[158,199],"largest":[159],"dataset":[163],"<inline-formula":[164],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[166],"notation=\"LaTeX\">$\\mathbf{THU}^{\\mathbf{MV-EACT}}\\mathbf{-50}$</tex-math></inline-formula>":[167],"comprising":[169],"50":[170],"actions":[171],"6":[173],"viewpoints,":[174],"which":[175],"surpasses":[176],"datasets":[178],"by":[179],"over":[180],"tenfold.":[181],"Experimental":[182],"results":[183],"show":[184],"significantly":[187],"outperforms":[188],"baselines":[189],"both":[191],"cross-subject":[192],"cross-view":[194],"exceeds":[198],"state-of-the-arts":[200],"frame-based":[202]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
