{"id":"https://openalex.org/W4414742994","doi":"https://doi.org/10.1109/iccv51701.2025.02598","title":"Recovering Parametric Scenes from Very Few Time-of-Flight Pixels","display_name":"Recovering Parametric Scenes from Very Few Time-of-Flight Pixels","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4414742994","doi":"https://doi.org/10.1109/iccv51701.2025.02598"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.02598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02598","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":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.16132","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035018194","display_name":"Carter Sifferman","orcid":"https://orcid.org/0000-0002-6005-1884"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carter Sifferman","raw_affiliation_strings":["University of Wisconsin-Madison,Madison,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Madison,USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028417301","display_name":"Yiquan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiquan Li","raw_affiliation_strings":["University of Wisconsin-Madison,Madison,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Madison,USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346332","display_name":"Yiming Li","orcid":"https://orcid.org/0000-0002-2258-265X"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiming Li","raw_affiliation_strings":["University of Wisconsin-Madison,Madison,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Madison,USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029753270","display_name":"Fangzhou Mu","orcid":"https://orcid.org/0000-0001-5580-2404"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fangzhou Mu","raw_affiliation_strings":["University of Wisconsin-Madison,Madison,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Madison,USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084778474","display_name":"Michael Gleicher","orcid":"https://orcid.org/0000-0003-3295-4071"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gleicher","raw_affiliation_strings":["University of Wisconsin-Madison,Madison,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Madison,USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074353153","display_name":"Mohit Gupta","orcid":"https://orcid.org/0000-0002-2323-7700"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohit Gupta","raw_affiliation_strings":["University of Wisconsin-Madison,Madison,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Madison,USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451111","display_name":"Yin Li","orcid":"https://orcid.org/0000-0002-0701-1410"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yin Li","raw_affiliation_strings":["University of Wisconsin-Madison,Madison,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Madison,USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135310074"],"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":"27989","last_page":"27999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.7476999759674072},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6679999828338623},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6567000150680542},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.4636000096797943},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.421999990940094},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.39160001277923584},{"id":"https://openalex.org/keywords/parametric-equation","display_name":"Parametric equation","score":0.38679999113082886},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.383899986743927}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8026999831199646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7817999720573425},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7476999759674072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6877999901771545},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6679999828338623},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6567000150680542},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.4636000096797943},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.421999990940094},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C99636146","wikidata":"https://www.wikidata.org/wiki/Q35889","display_name":"Parametric equation","level":2,"score":0.38679999113082886},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.383899986743927},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.37389999628067017},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2856000065803528},{"id":"https://openalex.org/C3019973339","wikidata":"https://www.wikidata.org/wiki/Q899523","display_name":"Object based","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.02598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02598","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:2509.16132","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.16132","pdf_url":"https://arxiv.org/pdf/2509.16132","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.16132","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.16132","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.16132","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.16132","pdf_url":"https://arxiv.org/pdf/2509.16132","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7924415705","display_name":null,"funder_award_id":"N000142412155","funder_id":"https://openalex.org/F577692214","funder_display_name":"Office of Nutrition Research"},{"id":"https://openalex.org/G8966331823","display_name":null,"funder_award_id":"2152163","funder_id":"https://openalex.org/F4320337478","funder_display_name":"Nuclear Reactor Deployment"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337478","display_name":"Nuclear Reactor Deployment","ror":"https://ror.org/05tj7dm33"},{"id":"https://openalex.org/F577692214","display_name":"Office of Nutrition Research","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,68,137,171],"aim":[1],"to":[2,86,120,131,175],"recover":[3,87],"the":[4,45,70,88,101,133,177],"geometry":[5,89],"of":[6,47,62,72,77,90,104,181],"3D":[7,153],"parametric":[8,92,169],"scenes":[9,64,93],"using":[10,73],"very":[11,24],"few":[12,78,82],"depth":[13],"measurements":[14,79],"from":[15,65],"low-cost,":[16],"commercially":[17],"available":[18],"time-of-flight":[19,42,52],"sensors.":[20],"These":[21],"sensors":[22],"offer":[23],"low":[25],"spatial":[26],"resolution":[27],"(i.e.,":[28],"a":[29,34,74,95,105,113],"single":[30],"pixel),":[31],"but":[32],"image":[33],"wide":[35],"field-of-view":[36],"per":[37],"pixel":[38],"and":[39,58,124,141,158,162,179],"capture":[40],"detailed":[41],"data":[43,53],"in":[44,155],"form":[46],"time-resolved":[48],"photon":[49],"counts.":[50],"This":[51],"encodes":[54],"rich":[55],"scene":[56,122,134],"information":[57],"thus":[59],"enables":[60],"recovery":[61],"simple":[63,91],"sparse":[66],"measurements.":[67],"investigate":[69],"feasibility":[71],"distributed":[75],"set":[76],"(e.g.,":[80],"as":[81,83,99],"15":[84],"pixels)":[85],"with":[94],"strong":[96],"prior,":[97],"such":[98],"estimating":[100],"6D":[102],"pose":[103,149],"known":[106],"object.":[107],"To":[108],"achieve":[109],"this,":[110],"we":[111],"design":[112],"method":[114,145],"that":[115,143],"utilizes":[116],"both":[117,156],"feed-forward":[118],"prediction":[119],"infer":[121],"parameters,":[123],"differentiable":[125],"rendering":[126],"within":[127],"an":[128,151],"analysis-by-synthesis":[129],"framework":[130],"refine":[132],"parameter":[135],"estimate.":[136],"develop":[138],"hardware":[139],"prototypes":[140],"demonstrate":[142],"our":[144,182],"effectively":[146],"recovers":[147],"object":[148],"given":[150],"untextured":[152],"model":[154],"simulations":[157],"controlled":[159],"real-world":[160],"captures,":[161],"show":[163],"promising":[164],"initial":[165],"results":[166],"for":[167],"other":[168],"scenes.":[170],"additionally":[172],"conduct":[173],"experiments":[174],"explore":[176],"limits":[178],"capabilities":[180],"imaging":[183],"solution.":[184]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}