{"id":"https://openalex.org/W7160332119","doi":"https://doi.org/10.1109/wacv61042.2026.00564","title":"Unsupervised Discovery of Long-Term Spatiotemporal Periodic Workflows in Human Activities","display_name":"Unsupervised Discovery of Long-Term Spatiotemporal Periodic Workflows in Human Activities","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160332119","doi":"https://doi.org/10.1109/wacv61042.2026.00564"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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/A5135311567","display_name":"Fan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094759","display_name":"Fujitsu (United States)","ror":"https://ror.org/0073whr05","country_code":"US","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210094759"]},{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Fujitsu Research of America,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Research of America,USA","institution_ids":["https://openalex.org/I4210159607","https://openalex.org/I4210094759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102558094","display_name":"Quanting Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanting Xie","raw_affiliation_strings":["Carnegie Mellon University,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008255409","display_name":"Atsunori Moteki","orcid":"https://orcid.org/0000-0003-3160-5275"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsunori Moteki","raw_affiliation_strings":["Fujitsu Limited,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Limited,Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112413659","display_name":"Shoichi Masui","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoichi Masui","raw_affiliation_strings":["Fujitsu Limited,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Limited,Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055870001","display_name":"Shan Jiang","orcid":"https://orcid.org/0000-0002-4727-4856"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shan Jiang","raw_affiliation_strings":["Fujitsu Limited,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Limited,Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004967018","display_name":"Kanji Uchino","orcid":"https://orcid.org/0009-0002-7736-2504"},"institutions":[{"id":"https://openalex.org/I4210094759","display_name":"Fujitsu (United States)","ror":"https://ror.org/0073whr05","country_code":"US","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210094759"]},{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Kanji Uchino","raw_affiliation_strings":["Fujitsu Research of America,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Research of America,USA","institution_ids":["https://openalex.org/I4210159607","https://openalex.org/I4210094759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041302228","display_name":"Yonatan Bisk","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yonatan Bisk","raw_affiliation_strings":["Carnegie Mellon University,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068811427","display_name":"Graham Neubig","orcid":"https://orcid.org/0000-0002-2072-3789"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Graham Neubig","raw_affiliation_strings":["Carnegie Mellon University,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5821","last_page":"5832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.10369999706745148,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.10369999706745148,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.05249999836087227,"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/T11106","display_name":"Data Management and Algorithms","score":0.05009999871253967,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/workflow","display_name":"Workflow","score":0.5274999737739563},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3041999936103821},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.295199990272522},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.266400009393692},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.2639000117778778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6391000151634216},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5274999737739563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4706999957561493},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34630000591278076},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.23659999668598175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W1947050545","https://openalex.org/W1985715063","https://openalex.org/W2031688197","https://openalex.org/W2037947416","https://openalex.org/W2038549976","https://openalex.org/W2044023374","https://openalex.org/W2062465628","https://openalex.org/W2074231493","https://openalex.org/W2090667601","https://openalex.org/W2099614498","https://openalex.org/W2109698606","https://openalex.org/W2113311165","https://openalex.org/W2123119012","https://openalex.org/W2137089646","https://openalex.org/W2144994235","https://openalex.org/W2148500771","https://openalex.org/W2163993204","https://openalex.org/W2222512263","https://openalex.org/W2340709770","https://openalex.org/W2534990340","https://openalex.org/W2550143307","https://openalex.org/W2767575029","https://openalex.org/W2790696131","https://openalex.org/W2795187948","https://openalex.org/W2797679738","https://openalex.org/W2884002012","https://openalex.org/W2890058495","https://openalex.org/W2909447068","https://openalex.org/W2962795934","https://openalex.org/W2962916463","https://openalex.org/W2963853051","https://openalex.org/W2964029185","https://openalex.org/W2964094654","https://openalex.org/W2982335217","https://openalex.org/W2999237480","https://openalex.org/W3034527633","https://openalex.org/W3136173905","https://openalex.org/W3168371806","https://openalex.org/W3174700686","https://openalex.org/W3176411119","https://openalex.org/W3180945712","https://openalex.org/W3201293154","https://openalex.org/W3208250979","https://openalex.org/W4224219710","https://openalex.org/W4306317270","https://openalex.org/W4312322722","https://openalex.org/W4312409866","https://openalex.org/W4312626235","https://openalex.org/W4312939486","https://openalex.org/W4312982010","https://openalex.org/W4313071313","https://openalex.org/W4313165677","https://openalex.org/W4320024046","https://openalex.org/W4320169194","https://openalex.org/W4320913142","https://openalex.org/W4324125258","https://openalex.org/W4386249622","https://openalex.org/W4387917672","https://openalex.org/W4388430502","https://openalex.org/W4389667183","https://openalex.org/W4390715772","https://openalex.org/W4390873035","https://openalex.org/W4390874423","https://openalex.org/W4392172801","https://openalex.org/W4394593071","https://openalex.org/W4394597446","https://openalex.org/W4394625509","https://openalex.org/W4400909725","https://openalex.org/W4402660150","https://openalex.org/W4402715826","https://openalex.org/W4402716276","https://openalex.org/W4402753974","https://openalex.org/W4402780112","https://openalex.org/W4402916036","https://openalex.org/W4403624672","https://openalex.org/W4403947180","https://openalex.org/W4404612535","https://openalex.org/W4405126065","https://openalex.org/W4406208390","https://openalex.org/W4406983084","https://openalex.org/W4409366633","https://openalex.org/W4410977160","https://openalex.org/W4411245031","https://openalex.org/W4413144709","https://openalex.org/W4413145923","https://openalex.org/W4414051084","https://openalex.org/W4417305271"],"related_works":[],"abstract_inverted_index":{"Periodic":[0],"human":[1,48],"activities":[2],"with":[3,30,62,140],"implicit":[4],"workflows":[5,29],"are":[6],"common":[7],"in":[8,124,130],"manufacturing,":[9],"sports,":[10],"and":[11,21,72,104,128,151],"daily":[12],"life.":[13],"While":[14],"short-term":[15],"periodic":[16,28,53,66,86,101],"activities\u2014characterized":[17],"by":[18,120],"simple":[19],"structures":[20],"high-contrast":[22],"patterns\u2014have":[23],"been":[24],"widely":[25],"studied,":[26],"long-term":[27,52],"low-contrast":[31],"patterns":[32],"remain":[33],"largely":[34],"underexplored.":[35],"To":[36],"bridge":[37],"this":[38],"gap,":[39],"we":[40],"introduce":[41],"the":[42,147],"first":[43],"benchmark":[44,56,94],"comprising":[45],"580":[46],"multimodal":[47],"activity":[49],"sequences":[50],"featuring":[51],"workflows.":[54],"The":[55],"supports":[57],"three":[58],"evaluation":[59,126],"tasks":[60],"aligned":[61],"real-world":[63,131],"applications:":[64],"unsupervised":[65,100],"workflow":[67,87,143],"detection,":[68],"task":[69],"completion":[70],"tracking,":[71],"procedural":[73],"anomaly":[74],"detection.":[75],"We":[76],"also":[77],"propose":[78],"a":[79,121],"lightweight,":[80],"training-free":[81],"baseline":[82,116,134],"for":[83,149],"modeling":[84],"diverse":[85],"patterns.":[88],"Experiments":[89],"show":[90],"that:":[91],"(i)":[92],"our":[93,115,133],"presents":[95],"significant":[96],"challenges":[97],"to":[98],"both":[99],"detection":[102,144],"methods":[103,119],"zero-shot":[105],"approaches":[106],"based":[107],"on":[108,138],"powerful":[109],"large":[110],"language":[111],"models":[112],"(LLMs);":[113],"(ii)":[114],"outperforms":[117],"competing":[118],"substantial":[122],"margin":[123],"all":[125],"tasks;":[127],"(iii)":[129],"applications,":[132],"demonstrates":[135],"deployment":[136],"advantages":[137],"par":[139],"traditional":[141],"supervised":[142],"approaches,":[145],"eliminating":[146],"need":[148],"annotation":[150],"retraining.":[152],"Our":[153],"project":[154],"page":[155],"is":[156],"https://sites.google.com/view/periodicworkflow.":[157]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-06T00:00:00"}