{"id":"https://openalex.org/W7134254032","doi":"https://doi.org/10.48550/arxiv.2603.06168","title":"JOPP-3D: Joint Open Vocabulary Semantic Segmentation on Point Clouds and Panoramas","display_name":"JOPP-3D: Joint Open Vocabulary Semantic Segmentation on Point Clouds and Panoramas","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7134254032","doi":"https://doi.org/10.48550/arxiv.2603.06168"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.06168","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","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/A5058726218","display_name":"Sandeep Inuganti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Inuganti, Sandeep","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128412485","display_name":"Hideaki Kanayama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kanayama, Hideaki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128476131","display_name":"Kanta Shimizu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shimizu, Kanta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128397794","display_name":"Mahdi Chamseddine","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chamseddine, Mahdi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128565935","display_name":"Soichiro Yokota","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yokota, Soichiro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128482127","display_name":"Didier Stricker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stricker, Didier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5000984202","display_name":"Jason Rambach","orcid":"https://orcid.org/0000-0001-8122-6789"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rambach, Jason","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2726385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.5310999751091003,"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":0.5310999751091003,"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":0.19429999589920044,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0502999983727932,"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/segmentation","display_name":"Segmentation","score":0.7591999769210815},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7299000024795532},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5995000004768372},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5726000070571899},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5630999803543091},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.511900007724762},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.47350001335144043},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4251999855041504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069000244140625},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7591999769210815},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7299000024795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6632000207901001},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5995000004768372},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5726000070571899},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5630999803543091},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5493000149726868},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.511900007724762},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.47350001335144043},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4251999855041504},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41519999504089355},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.38999998569488525},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.26089999079704285}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.06168","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.06168","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.06168","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:doi:10.48550/arxiv.2603.06168","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.7642043232917786,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,40],"across":[2,115],"visual":[3],"modalities":[4,74],"such":[5],"as":[6],"3D":[7,68,118,138],"point":[8,47,69],"clouds":[9],"and":[10,25,46,67,77,100,111,117,133,137],"panoramic":[11,45,58,116],"images":[12,59],"remains":[13],"a":[14,124],"challenging":[15],"task,":[16],"primarily":[17],"due":[18],"to":[19,50,75,87,108,128],"the":[20,26,98,104,129],"scarcity":[21],"of":[22,29,106],"annotated":[23],"data":[24,49],"limited":[27],"adaptability":[28],"fixed-label":[30],"models.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"present":[36],"JOPP-3D,":[37],"an":[38],"open-vocabulary":[39],"framework":[41],"that":[42],"jointly":[43],"leverages":[44],"cloud":[48],"enable":[51],"language-driven":[52],"scene":[53],"understanding.":[54],"We":[55],"convert":[56],"RGB-D":[57],"into":[60],"their":[61],"corresponding":[62],"wide":[63],"field-of-view":[64],"tangential":[65],"perspectives":[66],"clouds,":[70],"then":[71],"use":[72],"these":[73],"extract":[76],"align":[78],"foundational":[79],"vision-language":[80],"features.":[81],"This":[82],"allows":[83],"natural":[84],"language":[85],"querying":[86],"generate":[88],"semantic":[89,139],"masks":[90],"on":[91,97],"both":[92],"input":[93],"modalities.":[94],"Experimental":[95],"evaluation":[96],"Stanford-2D-3D-s":[99],"ToF-360":[101],"datasets":[102],"demonstrates":[103],"capability":[105],"JOPP-3D":[107],"produce":[109],"coherent":[110],"semantically":[112],"meaningful":[113],"segmentations":[114],"domains.":[119],"Our":[120],"proposed":[121],"method":[122],"achieves":[123],"significant":[125],"improvement":[126],"compared":[127],"SOTA":[130],"in":[131],"open":[132],"closed":[134],"vocabulary":[135],"2D":[136],"segmentation.":[140]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-10T00:00:00"}
