{"id":"https://openalex.org/W7131831799","doi":"https://doi.org/10.48550/arxiv.2602.23294","title":"Towards Long-Form Spatio-Temporal Video Grounding","display_name":"Towards Long-Form Spatio-Temporal Video Grounding","publication_year":2026,"publication_date":"2026-02-26","ids":{"openalex":"https://openalex.org/W7131831799","doi":"https://doi.org/10.48550/arxiv.2602.23294"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.23294","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100870613","display_name":"Xin Gu","orcid":"https://orcid.org/0009-0003-5300-6406"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gu, Xin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068953861","display_name":"Bing Fan","orcid":"https://orcid.org/0000-0003-4439-6150"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Bing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102857591","display_name":"Jiali Yao","orcid":"https://orcid.org/0009-0009-9673-3658"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Jiali","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127010236","display_name":"Zhipeng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhipeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127380186","display_name":"Yan Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Yan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127254617","display_name":"Cheng Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Cheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114175277","display_name":"Heng Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Heng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127128853","display_name":"Libo Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Libo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100870613"],"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.459199994802475,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.459199994802475,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.2572999894618988,"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/T11439","display_name":"Video Analysis and Summarization","score":0.09109999984502792,"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/process","display_name":"Process (computing)","score":0.5065000057220459},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4510999917984009},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.40470001101493835},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.38960000872612},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.3352999985218048},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.30649998784065247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8395000100135803},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5065000057220459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46779999136924744},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4510999917984009},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.38370001316070557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3580999970436096},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.26820001006126404}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.23294","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.23294","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.23294","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.23294","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":{"In":[0,44],"real":[1],"scenarios,":[2],"videos":[3,30,65],"can":[4],"span":[5],"several":[6],"minutes":[7],"or":[8],"even":[9],"hours.":[10],"However,":[11],"existing":[12,79],"research":[13],"on":[14,25,219,235],"spatio-temporal":[15,136,195],"video":[16,110,120],"grounding":[17],"(STVG),":[18],"given":[19],"a":[20,193],"textual":[21],"query,":[22],"mainly":[23],"focuses":[24],"localizing":[26],"targets":[27,56],"in":[28,57,215],"short":[29,62],"of":[31,33,131,185],"tens":[32],"seconds,":[34],"typically":[35],"less":[36],"than":[37],"one":[38],"minute,":[39],"which":[40,52],"limits":[41],"real-world":[42],"applications.":[43],"this":[45,90],"paper,":[46],"we":[47,92,138,164,191],"explore":[48],"Long-Form":[49],"STVG":[50,80,104],"(LF-STVG),":[51],"aims":[53],"to":[54,112,148,160,172,177,202,210],"locate":[55],"long-term":[58,64],"videos.":[59,133,217],"Compared":[60],"with":[61],"videos,":[63],"contain":[66],"much":[67],"longer":[68],"temporal":[69,142,189,204,213],"spans":[70],"and":[71,124,141,145,188],"more":[72,174],"irrelevant":[73],"information,":[74],"making":[75],"it":[76],"difficult":[77],"for":[78,98],"methods":[81,105],"that":[82,106,197,225],"process":[83],"all":[84],"frames":[85,126],"at":[86,115],"once.":[87],"To":[88,134],"address":[89],"challenge,":[91],"propose":[93,192],"an":[94],"AutoRegressive":[95],"Transformer":[96],"architecture":[97],"LF-STVG,":[99],"termed":[100],"ART-STVG.":[101],"Unlike":[102],"conventional":[103,236],"require":[107],"the":[108,119,149,161,178,199,203],"entire":[109],"sequence":[111],"make":[113],"predictions":[114],"once,":[116],"ART-STVG":[117,226],"treats":[118],"as":[121],"streaming":[122],"input":[123],"processes":[125],"sequentially,":[127],"enabling":[128],"efficient":[129],"handling":[130],"long":[132,216],"model":[135],"context,":[137],"design":[139,196],"spatial":[140,187,200,208],"memory":[143,169],"banks":[144],"apply":[146],"them":[147],"decoders.":[150],"Since":[151],"memories":[152],"from":[153],"different":[154],"moments":[155],"are":[156],"not":[157],"always":[158],"relevant":[159,175],"current":[162],"frame,":[163],"introduce":[165],"simple":[166],"yet":[167],"effective":[168],"selection":[170],"strategies":[171],"provide":[173],"information":[176],"decoders,":[179],"significantly":[180,227],"improving":[181],"performance.":[182],"Furthermore,":[183],"instead":[184],"parallel":[186],"localization,":[190],"cascaded":[194],"connects":[198],"decoder":[201],"decoder,":[205],"allowing":[206],"fine-grained":[207],"cues":[209],"assist":[211],"complex":[212],"localization":[214],"Experiments":[218],"newly":[220],"extended":[221],"LF-STVG":[222],"datasets":[223],"show":[224],"outperforms":[228],"state-of-the-art":[229],"methods,":[230],"while":[231],"achieving":[232],"competitive":[233],"performance":[234],"short-form":[237],"STVG.":[238]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-28T00:00:00"}