{"id":"https://openalex.org/W7164841209","doi":"https://doi.org/10.48550/arxiv.2606.13714","title":"TSA: Temporal Slot Activation for Persistent Object-Centric Video Representation","display_name":"TSA: Temporal Slot Activation for Persistent Object-Centric Video Representation","publication_year":2026,"publication_date":"2026-06-10","ids":{"openalex":"https://openalex.org/W7164841209","doi":"https://doi.org/10.48550/arxiv.2606.13714"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.13714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13714","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.13714","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138679527","display_name":"Duc Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Duc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116696777","display_name":"Sieu Tran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tran, Sieu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103160077","display_name":"Hao Vo","orcid":"https://orcid.org/0009-0001-3908-4606"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vo, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138678534","display_name":"Khoa Vo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vo, Khoa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138658272","display_name":"Duy Minh Ho Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Duy Minh Ho","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135869809","display_name":"Nghi D. Q. Bui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bui, Nghi D. Q.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138671803","display_name":"Anh Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Anh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138665203","display_name":"Long Mai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mai, Long","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138657721","display_name":"Ngan Le","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le, Ngan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.36579999327659607,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.36579999327659607,"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":0.20110000669956207,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.1387999951839447,"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/softmax-function","display_name":"Softmax function","score":0.6385999917984009},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5551000237464905},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5401999950408936},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4871000051498413},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.4731999933719635},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.45419999957084656},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4284000098705292},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.3499999940395355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7278000116348267},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.6385999917984009},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5551000237464905},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5401999950408936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4975999891757965},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4871000051498413},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.4731999933719635},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45419999957084656},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4284000098705292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3840999901294708},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.3499000072479248},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3407000005245209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C2779631151","wikidata":"https://www.wikidata.org/wiki/Q7883767","display_name":"Underspecification","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.3050000071525574},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25519999861717224},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.13714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13714","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.13714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13714","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Unsupervised":[0],"video":[1,16],"object-centric":[2],"learning":[3],"aims":[4],"to":[5,112,162],"decompose":[6],"dynamic":[7],"scenes":[8],"into":[9],"temporally":[10],"persistent":[11,61],"entity":[12],"representations.":[13],"Existing":[14],"recurrent":[15],"slot-attention":[17],"methods":[18],"propagate":[19],"a":[20,56,123,127,144,154,208,214],"fixed":[21],"set":[22],"of":[23,43],"slots":[24],"across":[25],"frames,":[26],"but":[27],"typically":[28],"assume":[29],"unconditional":[30,85],"slot":[31,34,72,109,150,155,165],"propagation:":[32],"every":[33,40],"is":[35,48,66,156],"updated":[36],"and":[37,78,102,169,190,199,224,230,242],"decoded":[38],"at":[39],"frame,":[41],"regardless":[42],"whether":[44],"its":[45,71,75,160,171],"corresponding":[46],"object":[47,65,240],"visible.":[49],"We":[50,117,218],"show":[51],"that":[52,125],"this":[53,141],"design":[54],"violates":[55],"basic":[57],"lifecycle":[58,151],"requirement":[59],"for":[60,149],"slots:":[62],"when":[63],"an":[64,175],"absent":[67,99],"or":[68],"fully":[69],"occluded,":[70],"should":[73],"preserve":[74],"previous":[76,164],"state":[77,92,161,188],"avoid":[79],"explaining":[80],"unrelated":[81],"visible":[82],"content.":[83],"Instead,":[84],"propagation":[86],"creates":[87],"two":[88],"failure":[89],"pathways:":[90],"update-induced":[91],"drift,":[93],"where":[94,106],"current-frame":[95],"evidence":[96],"overwrites":[97],"the":[98,107,163],"object's":[100],"representation,":[101],"decoder-induced":[103],"reconstruction":[104,113],"interference,":[105],"inactive":[108],"remains":[110],"coupled":[111],"through":[114,174],"decoder":[115,172],"attention.":[116],"propose":[118],"Temporal":[119,215],"Slot":[120],"Activation":[121],"(TSA),":[122],"mechanism":[124],"learns":[126],"per-slot,":[128],"per-frame":[129],"activation":[130,142,205],"score":[131],"$\u03b1_{k,t}":[132],"\\in":[133],"(0,":[134],"1)$":[135],"without":[136],"visibility":[137],"supervision.":[138],"TSA":[139,158,202,220,237],"uses":[140],"as":[143],"shared":[145],"latent":[146],"control":[147],"variable":[148],"modeling.":[152],"When":[153],"inactive,":[157],"anchors":[159],"via":[166],"activation-gated":[167],"updating":[168],"suppresses":[170],"participation":[173],"activation-dependent":[176],"additive":[177],"bias":[178],"on":[179,207,221,249],"attention":[180],"logits":[181],"before":[182],"softmax":[183],"normalization.":[184],"This":[185],"jointly":[186],"reduces":[187],"drift":[189],"reconstruction-driven":[191],"interference.":[192],"To":[193],"improve":[194],"decisions":[195],"under":[196],"partial":[197],"occlusion":[198],"gradual":[200],"reappearance,":[201],"further":[203],"conditions":[204],"prediction":[206],"per-slot":[209],"temporal":[210,243],"memory":[211],"produced":[212],"by":[213],"Context":[216],"Encoder.":[217],"evaluate":[219],"MOVi-C/E,":[222],"YT-VIS,":[223],"OVIS":[225],"benchmarks":[226],"using":[227],"both":[228],"standard":[229],"tracking-based":[231],"metrics":[232],"(FG-ARI,":[233],"mBO,":[234],"IDF1,":[235],"HOTA).":[236],"consistently":[238],"improves":[239],"decomposition":[241],"identity":[244],"preservation,":[245],"with":[246],"large":[247],"gains":[248],"long,":[250],"heavily":[251],"occluded":[252],"videos.":[253]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-16T00:00:00"}