{"id":"https://openalex.org/W7130363071","doi":"https://doi.org/10.48550/arxiv.2602.15734","title":"Language and Geometry Grounded Sparse Voxel Representations for Holistic Scene Understanding","display_name":"Language and Geometry Grounded Sparse Voxel Representations for Holistic Scene Understanding","publication_year":2026,"publication_date":"2026-02-17","ids":{"openalex":"https://openalex.org/W7130363071","doi":"https://doi.org/10.48550/arxiv.2602.15734"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.15734","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.15734","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.2602.15734","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082901351","display_name":"Guile Wu","orcid":"https://orcid.org/0000-0001-7319-473X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Guile","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126316506","display_name":"David Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126334653","display_name":"Bingbing Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Bingbing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126322014","display_name":"Dongfeng Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Dongfeng","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":0.4309000074863434,"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":0.4309000074863434,"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/T11448","display_name":"Face recognition and analysis","score":0.18400000035762787,"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":0.09189999848604202,"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/feature","display_name":"Feature (linguistics)","score":0.6377999782562256},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6162999868392944},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5648000240325928},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5411999821662903},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.430400013923645},{"id":"https://openalex.org/keywords/geometric-modeling","display_name":"Geometric modeling","score":0.35830000042915344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3578000068664551}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686000227928162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6660000085830688},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6377999782562256},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6162999868392944},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5648000240325928},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5411999821662903},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4262999892234802},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26030001044273376},{"id":"https://openalex.org/C32990609","wikidata":"https://www.wikidata.org/wiki/Q306542","display_name":"Transformation geometry","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.15734","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.15734","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.2602.15734","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.15734","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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5923720002174377}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Existing":[0],"3D":[1,16,82,106,135,159,184],"open-vocabulary":[2],"scene":[3,25,33,136,160,185,206],"understanding":[4,34,207],"methods":[5,203],"mostly":[6],"emphasize":[7],"distilling":[8],"language":[9,61,126],"features":[10,127],"from":[11,37,47,128,152],"2D":[12,130],"foundation":[13,131,155],"models":[14],"into":[15,133,144],"feature":[17,96,116,121,145],"fields,":[18,117],"but":[19],"largely":[20],"overlook":[21],"the":[22,38,48,112,177,183],"synergy":[23,110],"among":[24,111],"appearance,":[26,71,113,178],"semantics,":[27,72,179],"and":[28,44,62,73,87,98,115,124,166,180,208],"geometry.":[29],"As":[30],"a":[31,56,76,92,95,99,105,120,129,153,187],"result,":[32],"often":[35],"deviates":[36],"underlying":[39],"geometric":[40,142,150],"structure":[41],"of":[42,182],"scenes":[43],"becomes":[45],"decoupled":[46],"reconstruction":[49],"process.":[50],"In":[51,138],"this":[52],"work,":[53],"we":[54,80,118,140],"propose":[55],"novel":[57],"approach":[58,195],"that":[59,193],"leverages":[60],"geometry":[63,74,154,181],"grounded":[64],"sparse":[65,83],"voxel":[66],"representations":[67,161],"to":[68,102,148,157,174],"comprehensively":[69],"model":[70,132,156,176],"within":[75,186],"unified":[77,188],"framework.":[78,189],"Specifically,":[79],"use":[81],"voxels":[84],"as":[85],"primitives":[86],"employ":[88],"an":[89],"appearance":[90],"field,":[91,94,97],"density":[93],"confidence":[100],"field":[101,146],"holistically":[103],"represent":[104],"scene.":[107],"To":[108],"promote":[109],"density,":[114],"construct":[119],"modulation":[122],"module":[123],"distill":[125],"our":[134,158,194],"model.":[137],"addition,":[139],"integrate":[141],"distillation":[143,147],"transfer":[149],"knowledge":[151],"via":[162],"depth":[163],"correlation":[164],"regularization":[165],"pattern":[167],"consistency":[168],"regularization.":[169],"These":[170],"components":[171],"work":[172],"together":[173],"synergistically":[175],"Extensive":[190],"experiments":[191],"demonstrate":[192],"achieves":[196],"superior":[197],"overall":[198],"performance":[199],"compared":[200],"with":[201],"state-of-the-art":[202],"in":[204],"holistic":[205],"reconstruction.":[209]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-19T00:00:00"}