{"id":"https://openalex.org/W7161717311","doi":"https://doi.org/10.48550/arxiv.2605.17478","title":"Mamba-VGGT: Persistent Long-Sequence Video Geometry Grounded Transformer via External Sliding Window Mamba Memory","display_name":"Mamba-VGGT: Persistent Long-Sequence Video Geometry Grounded Transformer via External Sliding Window Mamba Memory","publication_year":2026,"publication_date":"2026-05-17","ids":{"openalex":"https://openalex.org/W7161717311","doi":"https://doi.org/10.48550/arxiv.2605.17478"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.17478","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17478","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.2605.17478","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136466127","display_name":"Tianchen Deng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Tianchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136475225","display_name":"Zhenxiang Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiong, Zhenxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005104153","display_name":"Nailin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Nailin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075077063","display_name":"Fangjinhua Wang","orcid":"https://orcid.org/0000-0003-4582-2123"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Fangjinhua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045252539","display_name":"Jiuming Liu","orcid":"https://orcid.org/0009-0001-8047-3814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiuming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136469983","display_name":"Jianfei Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Jianfei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136464495","display_name":"Hesheng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Hesheng","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.4189999997615814,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.4189999997615814,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.3659999966621399,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.07689999788999557,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4966000020503998},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.4092999994754791},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.40299999713897705},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.3910999894142151},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3808000087738037},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.32989999651908875},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.32710000872612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673799991607666},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4966000020503998},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.40299999713897705},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.3910999894142151},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32120001316070557},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3149999976158142},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.2858999967575073},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2784000039100647},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.2623000144958496}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.17478","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17478","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.2605.17478","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17478","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":{"Visual":[0],"Geometry":[1],"Grounded":[2],"Transformers":[3],"(VGGT)":[4],"have":[5],"set":[6],"new":[7],"benchmarks":[8],"in":[9,160,180],"high-fidelity":[10],"3D":[11,182],"scene":[12],"reconstruction.":[13],"However,":[14],"as":[15],"the":[16,33,46,98,112,118,138],"sequence":[17],"length":[18],"increases,":[19],"these":[20,106],"models":[21],"suffer":[22],"from":[23],"catastrophic":[24],"geometric":[25,48,94],"forgetting":[26],"and":[27,91,145,164],"accumulation":[28,167],"drift,":[29,49],"primarily":[30],"due":[31],"to":[32,89],"quadratic":[34],"complexity":[35],"of":[36,58,101,117],"global":[37,93],"attention":[38],"which":[39],"necessitates":[40],"truncated":[41],"temporal":[42,81,108],"windows.":[43,82],"To":[44,104],"overcome":[45],"resulting":[47],"we":[50,121],"present":[51],"Mamba-VGGT,":[52],"an":[53,75],"enhanced":[54],"VGGT":[55],"framework":[56],"capable":[57],"persistent":[59,135],"long-range":[60],"reasoning.":[61],"Our":[62,169],"key":[63],"contribution":[64],"is":[65],"a":[66,123,172],"Sliding":[67],"Window":[68],"Mamba":[69],"(SWM)":[70],"memory":[71,78,99,136],"module":[72,84],"that":[73,152],"maintains":[74],"explicit":[76],"external":[77],"token":[79,140],"across":[80],"This":[83],"leverages":[85],"selective":[86],"state-space":[87],"modeling":[88,179],"distill":[90],"propagate":[92],"priors,":[95],"effectively":[96],"bypassing":[97],"constraints":[100],"traditional":[102],"transformers.":[103],"integrate":[105],"long-term":[107],"cues":[109],"without":[110],"disrupting":[111],"highly":[113],"optimized":[114],"spatial":[115,162],"features":[116],"pre-trained":[119],"VGGT,":[120],"propose":[122],"Zero-Init":[124],"Spatial":[125],"Memory":[126],"Injector.":[127],"Utilizing":[128],"zero-convolutional":[129],"layers,":[130],"this":[131],"injector":[132],"adaptively":[133],"fuses":[134],"into":[137],"patch":[139],"stream,":[141],"ensuring":[142],"structural":[143],"stability":[144],"seamless":[146],"feature":[147],"alignment.":[148],"Extensive":[149],"experiments":[150],"demonstrate":[151],"our":[153],"approach":[154],"significantly":[155],"outperforms":[156],"existing":[157],"VGGT-based":[158],"methods":[159],"maintaining":[161],"consistency":[163],"reducing":[165],"trajectory":[166],"errors.":[168],"work":[170],"provides":[171],"scalable,":[173],"linear-complexity":[174],"solution":[175],"for":[176],"geometry-grounded":[177],"world":[178],"extensive":[181],"environments.":[183]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}