{"id":"https://openalex.org/W4400582054","doi":"https://doi.org/10.1145/3641519.3657526","title":"ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation","display_name":"ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation","publication_year":2024,"publication_date":"2024-07-12","ids":{"openalex":"https://openalex.org/W4400582054","doi":"https://doi.org/10.1145/3641519.3657526"},"language":"en","primary_location":{"id":"doi:10.1145/3641519.3657526","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641519.3657526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102739061","display_name":"Sergey Zakharov","orcid":"https://orcid.org/0000-0002-6231-6137"},"institutions":[{"id":"https://openalex.org/I4391768151","display_name":"Toyota Research Institute","ror":"https://ror.org/04fpkc108","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4391768151"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sergey Zakharov","raw_affiliation_strings":["Toyota Research Institute, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-6231-6137","affiliations":[{"raw_affiliation_string":"Toyota Research Institute, United States of America","institution_ids":["https://openalex.org/I4391768151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041402055","display_name":"K Ray Liu","orcid":"https://orcid.org/0009-0005-3476-0950"},"institutions":[{"id":"https://openalex.org/I4391768151","display_name":"Toyota Research Institute","ror":"https://ror.org/04fpkc108","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4391768151"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katherine Liu","raw_affiliation_strings":["Toyota Research Institute, United States of America"],"raw_orcid":"https://orcid.org/0009-0005-3476-0950","affiliations":[{"raw_affiliation_string":"Toyota Research Institute, United States of America","institution_ids":["https://openalex.org/I4391768151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075018873","display_name":"Adrien Gaidon","orcid":"https://orcid.org/0000-0001-8820-550X"},"institutions":[{"id":"https://openalex.org/I4391768151","display_name":"Toyota Research Institute","ror":"https://ror.org/04fpkc108","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4391768151"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adrien Gaidon","raw_affiliation_strings":["Toyota Research Institute, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-8820-550X","affiliations":[{"raw_affiliation_string":"Toyota Research Institute, United States of America","institution_ids":["https://openalex.org/I4391768151"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037522398","display_name":"Rare\u015f Ambru\u015f","orcid":"https://orcid.org/0000-0002-3111-3812"},"institutions":[{"id":"https://openalex.org/I4391768151","display_name":"Toyota Research Institute","ror":"https://ror.org/04fpkc108","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4391768151"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rares Ambrus","raw_affiliation_strings":["Toyota Research Institute, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-3111-3812","affiliations":[{"raw_affiliation_string":"Toyota Research Institute, United States of America","institution_ids":["https://openalex.org/I4391768151"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"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":0.10886031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9986000061035156,"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/modal","display_name":"Modal","score":0.7588051557540894},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7220149040222168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6766353249549866},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.589367687702179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33458244800567627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15045520663261414},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.04723823070526123}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7588051557540894},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7220149040222168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6766353249549866},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.589367687702179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33458244800567627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15045520663261414},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.04723823070526123},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641519.3657526","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641519.3657526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2022041220","https://openalex.org/W2144502914","https://openalex.org/W2962849139","https://openalex.org/W2963926543","https://openalex.org/W2986615800","https://openalex.org/W3034968345","https://openalex.org/W3107384982","https://openalex.org/W3109025584","https://openalex.org/W3117476483","https://openalex.org/W3141954417","https://openalex.org/W3153220274","https://openalex.org/W3175010717","https://openalex.org/W3176517065","https://openalex.org/W3177583232","https://openalex.org/W3178317539","https://openalex.org/W3183092879","https://openalex.org/W3184952021","https://openalex.org/W3184957317","https://openalex.org/W3186804687","https://openalex.org/W3195620846","https://openalex.org/W3215926197","https://openalex.org/W3216186826","https://openalex.org/W4244446843","https://openalex.org/W4283034080","https://openalex.org/W4283785867","https://openalex.org/W4288242633","https://openalex.org/W4312969460","https://openalex.org/W4313022741","https://openalex.org/W6791730830"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"The":[0],"common":[1],"trade-offs":[2],"of":[3,39,113],"state-of-the-art":[4,123],"methods":[5],"for":[6,98],"multi-shape":[7],"representation":[8],"(a":[9],"single":[10,131],"model":[11],"\"packing\"":[12],"multiple":[13,28],"objects)":[14],"involve":[15],"trading":[16],"modeling":[17],"accuracy":[18],"against":[19],"memory":[20,47],"and":[21,44,67,81,90,121,126],"storage.":[22],"We":[23],"show":[24],"how":[25],"to":[26,50,63,73,88,102],"encode":[27],"shapes":[29],"represented":[30],"as":[31,106],"continuous":[32,99],"neural":[33],"fields":[34],"with":[35,45,129],"a":[36,54,64,111,130],"higher":[37],"degree":[38],"precision":[40],"than":[41],"previously":[42],"possible":[43],"low":[46],"usage.":[48],"Key":[49],"our":[51,77],"approach":[52],"is":[53],"recursive":[55,75],"hierarchical":[56],"formulation":[57],"that":[58],"exploits":[59],"object":[60],"self-similarity,":[61],"leading":[62],"highly":[65],"compressed":[66],"efficient":[68],"shape":[69],"latent":[70,83],"space.":[71],"Thanks":[72],"the":[74],"formulation,":[76],"method":[78],"supports":[79],"spatial":[80],"global-to-local":[82],"feature":[84],"fusion":[85],"without":[86],"needing":[87],"initialize":[89],"maintain":[91],"auxiliary":[92],"data":[93],"structures,":[94],"while":[95],"still":[96],"allowing":[97],"field":[100],"queries":[101],"enable":[103],"applications":[104],"such":[105],"raytracing.":[107],"In":[108],"experiments":[109],"on":[110],"set":[112],"diverse":[114],"datasets,":[115],"we":[116],"provide":[117],"compelling":[118],"qualitative":[119],"results":[120,128],"demonstrate":[122],"multi-scene":[124],"reconstruction":[125],"compression":[127],"network":[132],"per":[133],"dataset.":[134]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
