{"id":"https://openalex.org/W4415089195","doi":"https://doi.org/10.1109/icmla66185.2025.00132","title":"Integrating Prior Observations for Incremental 3D Scene Graph Prediction","display_name":"Integrating Prior Observations for Incremental 3D Scene Graph Prediction","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4415089195","doi":"https://doi.org/10.1109/icmla66185.2025.00132"},"language":"en","primary_location":{"id":"doi:10.1109/icmla66185.2025.00132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla66185.2025.00132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Learning and Applications (ICMLA)","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/2509.11895","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056957586","display_name":"Marian Renz","orcid":"https://orcid.org/0009-0000-7656-1670"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marian Renz","raw_affiliation_strings":["German Research Center for Artificial Intelligence,Cooperative and Autonomous Systems, DFKI Niedersachsen,Osnabrück,Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence,Cooperative and Autonomous Systems, DFKI Niedersachsen,Osnabrück,Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054740214","display_name":"Felix Igelbrink","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Igelbrink","raw_affiliation_strings":["German Research Center for Artificial Intelligence,Cooperative and Autonomous Systems, DFKI Niedersachsen,Osnabrück,Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence,Cooperative and Autonomous Systems, DFKI Niedersachsen,Osnabrück,Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011835245","display_name":"Martin Atzmueller","orcid":"https://orcid.org/0000-0002-2480-6901"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Atzmueller","raw_affiliation_strings":["German Research Center for Artificial Intelligence,Cooperative and Autonomous Systems, DFKI Niedersachsen,Osnabrück,Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence,Cooperative and Autonomous Systems, DFKI Niedersachsen,Osnabrück,Germany","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056957586"],"corresponding_institution_ids":["https://openalex.org/I33256026"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27422285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"887","last_page":"892"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9969000220298767,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9868999719619751,"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/scalability","display_name":"Scalability","score":0.6399999856948853},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5468999743461609},{"id":"https://openalex.org/keywords/scene-graph","display_name":"Scene graph","score":0.4884999990463257},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.44339999556541443},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.44279998540878296},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3677000105381012},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3398999869823456},{"id":"https://openalex.org/keywords/semantic-mapping","display_name":"Semantic mapping","score":0.32010000944137573},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.30399999022483826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754800021648407},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6399999856948853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6050999760627747},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5468999743461609},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.4884999990463257},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.44339999556541443},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.44279998540878296},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3677000105381012},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34549999237060547},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3122999966144562},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.29580000042915344},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.27300000190734863},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icmla66185.2025.00132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla66185.2025.00132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Learning and Applications (ICMLA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2509.11895","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.11895","pdf_url":"https://arxiv.org/pdf/2509.11895","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.2509.11895","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.11895","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:2509.11895","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.11895","pdf_url":"https://arxiv.org/pdf/2509.11895","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"3D":[0],"semantic":[1,123],"scene":[2,51,96,104],"graphs":[3],"(3DSSG)":[4],"provide":[5],"compact":[6],"structured":[7],"representations":[8,97],"of":[9,144],"environments":[10],"by":[11],"explicitly":[12],"modeling":[13],"objects,":[14],"attributes,":[15],"and":[16,25,94,127,133],"relationships.":[17],"While":[18],"3DSSGs":[19],"have":[20],"shown":[21],"promise":[22],"in":[23,56],"robotics":[24],"embodied":[26],"AI,":[27],"many":[28],"existing":[29],"methods":[30,46],"rely":[31],"mainly":[32],"on":[33,110],"sensor":[34],"data,":[35],"not":[36],"integrating":[37],"further":[38],"information":[39,120],"from":[40],"semantically":[41],"rich":[42],"environments.":[43,139],"Additionally,":[44],"most":[45],"assume":[47],"access":[48],"to":[49],"complete":[50],"reconstructions,":[52],"limiting":[53],"their":[54],"applicability":[55],"real-world,":[57],"incremental":[58,69],"settings.":[59],"This":[60],"paper":[61],"introduces":[62],"a":[63,131],"novel":[64],"heterogeneous":[65],"graph":[66],"model":[67,90],"for":[68,136],"3DSSG":[70,112],"prediction":[71],"that":[72,115],"integrates":[73],"additional,":[74],"multi-modal":[75,119],"information,":[76],"such":[77,121],"as":[78,122],"prior":[79,128],"observations,":[80],"directly":[81],"into":[82],"the":[83,89,111,145],"message-passing":[84],"process.":[85],"Utilizing":[86],"multiple":[87],"layers,":[88],"flexibly":[91],"incorporates":[92],"global":[93],"local":[95],"without":[98],"requiring":[99],"specialized":[100],"modules":[101],"or":[102],"full":[103,141],"reconstructions.":[105],"We":[106],"evaluate":[107],"our":[108],"approach":[109],"dataset,":[113],"showing":[114],"GNNs":[116],"enriched":[117],"with":[118],"embeddings":[124],"(e.g.,":[125],"CLIP)":[126],"observations":[129],"offer":[130],"scalable":[132],"generalizable":[134],"solution":[135],"complex,":[137],"real-world":[138],"The":[140],"source":[142],"code":[143],"presented":[146],"architecture":[147],"will":[148],"be":[149],"made":[150],"available":[151],"at":[152],"https://github.com/m4renz/incremental-scene-graph-prediction.":[153]},"counts_by_year":[],"updated_date":"2026-04-09T06:08:40.794217","created_date":"2025-10-12T00:00:00"}