{"id":"https://openalex.org/W4414888777","doi":"https://doi.org/10.1109/iccv51701.2025.00501","title":"LONG3R: Long Sequence Streaming 3D Reconstruction","display_name":"LONG3R: Long Sequence Streaming 3D Reconstruction","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4414888777","doi":"https://doi.org/10.1109/iccv51701.2025.00501"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.00501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.18255","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047976508","display_name":"Z. B. Chen","orcid":"https://orcid.org/0000-0001-9646-5854"},"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":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoguang Chen","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119875938","display_name":"Minghui Qin","orcid":null},"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":"Minghui Qin","raw_affiliation_strings":["IIIS, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIS, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119875939","display_name":"Tianyuan Yuan","orcid":null},"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":"Tianyuan Yuan","raw_affiliation_strings":["IIIS, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIS, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462353","display_name":"Zhe Liu","orcid":"https://orcid.org/0000-0001-9709-8275"},"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":"Zhe Liu","raw_affiliation_strings":["IIIS, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIS, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111204328","display_name":"Hang Zhao","orcid":"https://orcid.org/0000-0003-0523-0721"},"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":"Hang Zhao","raw_affiliation_strings":["IIIS, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIS, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":"5273","last_page":"5284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9150000214576721,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9150000214576721,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.910099983215332,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.578000009059906},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5012999773025513},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4609000086784363},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4478999972343445},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.41499999165534973},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.39340001344680786},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.32899999618530273},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.325300008058548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8296999931335449},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.578000009059906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5303000211715698},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5012999773025513},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4609000086784363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4480000138282776},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4478999972343445},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.41499999165534973},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33480000495910645},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.32899999618530273},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C187166803","wikidata":"https://www.wikidata.org/wiki/Q2835831","display_name":"Streaming algorithm","level":3,"score":0.3190999925136566},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.29440000653266907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29030001163482666},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2590999901294708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.00501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2507.18255","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.18255","pdf_url":"https://arxiv.org/pdf/2507.18255","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"},{"id":"doi:10.48550/arxiv.2507.18255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.18255","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":"pmh:oai:arXiv.org:2507.18255","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.18255","pdf_url":"https://arxiv.org/pdf/2507.18255","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,37],"multi-view":[3,57],"scene":[4,59],"reconstruction":[5,60],"have":[6],"been":[7],"significant,":[8],"yet":[9],"existing":[10],"methods":[11,21],"face":[12],"limitations":[13],"when":[14],"processing":[15,68],"streams":[16],"of":[17],"input":[18],"images.":[19],"These":[20],"either":[22],"rely":[23],"on":[24,136],"time-consuming":[25],"offline":[26],"optimization":[27],"or":[28],"are":[29],"restricted":[30],"to":[31,87],"shorter":[32],"sequences,":[33,166],"hindering":[34],"their":[35],"applicability":[36],"real-time":[38,67,169],"scenarios.":[39],"In":[40],"this":[41],"work,":[42],"we":[43,112,143],"propose":[44,113],"LONG3R":[45,158],"(LOng":[46],"sequence":[47],"streaming":[48,56,161],"3D":[49,58,115],"Reconstruction),":[50],"a":[51,83,94,100,114,145],"novel":[52],"model":[53,65],"designed":[54],"for":[55,104,164],"over":[61],"longer":[62,165],"sequences.":[63],"Our":[64],"achieves":[66],"by":[69],"operating":[70],"recurrently,":[71],"maintaining":[72,140,168],"and":[73],"updating":[74],"memory":[75,84,117],"with":[76,93],"each":[77,150],"new":[78,95],"observation.":[79],"We":[80],"first":[81],"employ":[82,144],"gating":[85],"mechanism":[86],"filter":[88],"relevant":[89],"memory,":[90,111],"which,":[91],"together":[92],"observation,":[96],"is":[97],"fed":[98],"into":[99],"dual-source":[101],"refined":[102],"decoder":[103],"coarse-to-fine":[105],"interaction.":[106],"To":[107,131],"effectively":[108],"capture":[109],"long-sequence":[110],"spatio-temporal":[116],"that":[118,157],"dynamically":[119],"prunes":[120],"redundant":[121],"spatial":[122],"information":[123],"while":[124,139,167],"adaptively":[125],"adjusting":[126],"resolution":[127],"along":[128],"the":[129],"scene.":[130],"enhance":[132],"our":[133],"model's":[134],"performance":[135],"long":[137],"sequences":[138],"training":[141,148],"efficiency,":[142],"two-stage":[146],"curriculum":[147],"strategy,":[149],"stage":[151],"targeting":[152],"specific":[153],"capabilities.":[154],"Experiments":[155],"demonstrate":[156],"outperforms":[159],"state-of-the-art":[160],"methods,":[162],"particularly":[163],"inference":[170],"speed.":[171],"Project":[172],"page:":[173],"https://zgchen33.github.io/LONG3R/.":[174]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
