{"id":"https://openalex.org/W7154292897","doi":"https://doi.org/10.48550/arxiv.2604.09886","title":"Not Your Stereo-Typical Estimator: Combining Vision and Language for Volume Perception","display_name":"Not Your Stereo-Typical Estimator: Combining Vision and Language for Volume Perception","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7154292897","doi":"https://doi.org/10.48550/arxiv.2604.09886"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.09886","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09886","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.09886","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124152822","display_name":"Gautham Vinod","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vinod, Gautham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126133184","display_name":"Bruce Coburn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Coburn, Bruce","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133624171","display_name":"Siddeshwar Raghavan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raghavan, Siddeshwar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133564447","display_name":"Fengqing Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Fengqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5383999943733215,"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":0.5383999943733215,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.14820000529289246,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.09480000287294388,"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/ambiguity","display_name":"Ambiguity","score":0.7069000005722046},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5662000179290771},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.558899998664856},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5074999928474426},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5037000179290771},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.460999995470047},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4535999894142151},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.42809998989105225},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.4097000062465668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324000000953674},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.7069000005722046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7059000134468079},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5662000179290771},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.558899998664856},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5331000089645386},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5074999928474426},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5037000179290771},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.460999995470047},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4535999894142151},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.42809998989105225},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.4097000062465668},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.40639999508857727},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.35249999165534973},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C23903533","wikidata":"https://www.wikidata.org/wiki/Q17122739","display_name":"Reprojection error","level":3,"score":0.32010000944137573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29589998722076416},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2808000147342682},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.2712000012397766},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.09886","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09886","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.09886","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09886","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.45284536480903625,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"volume":[1,137],"estimation":[2,138],"of":[3],"objects":[4],"from":[5,56,63,72],"visual":[6,146],"data":[7],"is":[8],"a":[9,48,73,78,95,102],"long-standing":[10],"challenge":[11],"in":[12,18,39],"computer":[13],"vision":[14,58],"with":[15,35,59],"significant":[16],"applications":[17],"robotics,":[19],"logistics,":[20],"and":[21,77,87],"smart":[22],"health.":[23],"Existing":[24],"methods":[25],"often":[26],"rely":[27],"on":[28,112],"complex":[29],"3D":[30,54],"reconstruction":[31],"pipelines":[32],"or":[33],"struggle":[34],"the":[36,84,136,141],"ambiguity":[37],"inherent":[38],"single-view":[40],"images.":[41],"To":[42],"address":[43],"these":[44],"limitations,":[45],"we":[46],"introduce":[47],"new":[49],"method":[50],"that":[51,82,116,127],"fuses":[52],"implicit":[53],"cues":[55],"stereo":[57,74],"explicit":[60],"prior":[61],"knowledge":[62],"natural":[64],"language":[65],"text.":[66],"Our":[67,124],"approach":[68,119],"extracts":[69],"deep":[70],"features":[71],"image":[75],"pair":[76],"descriptive":[79],"text":[80],"prompt":[81],"contains":[83],"object's":[85],"class":[86],"an":[88],"approximate":[89],"volume,":[90],"then":[91],"integrates":[92],"them":[93],"using":[94],"simple":[96,130],"yet":[97],"effective":[98],"projection":[99],"layer":[100],"into":[101],"unified,":[103],"multi-modal":[104],"representation":[105],"for":[106,143],"regression.":[107],"We":[108],"conduct":[109],"extensive":[110],"experiments":[111],"public":[113],"datasets":[114],"demonstrating":[115],"our":[117],"text-guided":[118],"significantly":[120],"outperforms":[121],"vision-only":[122],"baselines.":[123],"findings":[125],"show":[126],"leveraging":[128],"even":[129],"textual":[131],"priors":[132],"can":[133],"effectively":[134],"guide":[135],"task,":[139],"paving":[140],"way":[142],"more":[144],"context-aware":[145],"measurement":[147],"systems.":[148],"Code:":[149],"https://gitlab.com/viper-purdue/stereo-typical-estimator.":[150]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-15T00:00:00"}
