{"id":"https://openalex.org/W4416176014","doi":"https://doi.org/10.1109/iccv51701.2025.02318","title":"Statistical Confidence Rescoring for Robust 3D Scene Graph Generation from Multi-View Images","display_name":"Statistical Confidence Rescoring for Robust 3D Scene Graph Generation from Multi-View Images","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416176014","doi":"https://doi.org/10.1109/iccv51701.2025.02318"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.02318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02318","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":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.06546","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120307163","display_name":"Qi Xun Yeo","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Qi Xun Yeo","raw_affiliation_strings":["National University of Singapore,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Computer Science","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324116","display_name":"Yanyan Li","orcid":"https://orcid.org/0000-0001-7292-9175"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yanyan Li","raw_affiliation_strings":["National University of Singapore,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Computer Science","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071967339","display_name":"Gim Hee Lee","orcid":"https://orcid.org/0000-0002-1583-0475"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gim Hee Lee","raw_affiliation_strings":["National University of Singapore,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Computer Science","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5120307163"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32678121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"24999","last_page":"25008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.36090001463890076,"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":0.36090001463890076,"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":0.20059999823570251,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.15189999341964722,"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/ground-truth","display_name":"Ground truth","score":0.7900999784469604},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5669999718666077},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5554999709129333},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5228000283241272},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5026000142097473},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.43880000710487366},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.43070000410079956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41179999709129333},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3919999897480011}],"concepts":[{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7900999784469604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7703999876976013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6353999972343445},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5669999718666077},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5554999709129333},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5228000283241272},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5026000142097473},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47870001196861267},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.43880000710487366},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.43070000410079956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41179999709129333},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.33959999680519104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3165999948978424},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2750000059604645},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25519999861717224}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.02318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02318","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:2508.06546","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.06546","pdf_url":"https://arxiv.org/pdf/2508.06546","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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.2508.06546","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.06546","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:oai:arXiv.org:2508.06546","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.06546","pdf_url":"https://arxiv.org/pdf/2508.06546","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":[{"id":"https://openalex.org/G1275918297","display_name":null,"funder_award_id":"MOE-T2EP20124-0015","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"}],"funders":[{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"},{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modern":[0],"3D":[1,10,25],"semantic":[2,85,95],"scene":[3,46,120],"graph":[4,47,121],"estimation":[5],"methods":[6,155],"utilize":[7],"ground":[8,26],"truth":[9,27],"annotations":[11],"to":[12,36,77,97,101,110,115,136],"accurately":[13],"predict":[14],"target":[15],"objects,":[16],"predicates,":[17],"and":[18,62,80,86,89,105,139],"relationships.":[19],"In":[20],"the":[21,52,64,132,161],"absence":[22],"of":[23,66,118],"given":[24],"representations,":[28],"we":[29,49,124],"explore":[30],"leveraging":[31],"only":[32],"multi-view":[33,71,158],"RGB":[34],"images":[35,159],"tackle":[37],"this":[38],"task.":[39],"To":[40],"attain":[41],"robust":[42],"features":[43,82,104],"for":[44],"accurate":[45,84],"estimation,":[48],"must":[50],"overcome":[51],"noisy":[53],"reconstructed":[54],"pseudo":[55],"point-based":[56],"geometry":[57],"from":[58,131],"predicted":[59],"depth":[60],"maps":[61],"reduce":[63],"amount":[65],"background":[67,103],"noise":[68],"present":[69],"in":[70],"image":[72],"features.":[73],"The":[74],"key":[75],"is":[76,167],"enrich":[78],"node":[79,113,138],"edge":[81,140],"with":[83],"spatial":[87],"information":[88,114],"through":[90],"neighboring":[91,112],"relations.":[92],"We":[93],"obtain":[94],"masks":[96],"guide":[98],"feature":[99],"aggregation":[100],"filter":[102],"design":[106],"a":[107],"novel":[108],"method":[109,152],"incorporate":[111],"aid":[116],"robustness":[117],"our":[119,151],"estimates.":[122],"Furthermore,":[123],"leverage":[125],"on":[126,143],"explicit":[127],"statistical":[128],"priors":[129],"calculated":[130],"training":[133],"summary":[134],"statistics":[135],"refine":[137],"predictions":[141],"based":[142],"their":[144],"one-hop":[145],"neighborhood.":[146],"Our":[147,164],"experiments":[148],"show":[149],"that":[150],"outperforms":[153],"current":[154],"purely":[156],"using":[157],"as":[160],"initial":[162],"input.":[163],"project":[165],"page":[166],"available":[168],"at":[169],"https://qixun1.github.io/projects/SCRSSG.":[170]},"counts_by_year":[],"updated_date":"2026-05-06T06:03:25.996018","created_date":"2025-10-10T00:00:00"}