{"id":"https://openalex.org/W4413156958","doi":"https://doi.org/10.1109/cvpr52734.2025.01547","title":"HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics","display_name":"HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413156958","doi":"https://doi.org/10.1109/cvpr52734.2025.01547"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.01547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5101986912","display_name":"Jong-Sung Lee","orcid":"https://orcid.org/0000-0003-4080-0611"},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jongsung Lee","raw_affiliation_strings":["UNIST,Artificial Intelligence Graduate School"],"affiliations":[{"raw_affiliation_string":"UNIST,Artificial Intelligence Graduate School","institution_ids":["https://openalex.org/I4210164862"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085802384","display_name":"Harin Park","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Harin Park","raw_affiliation_strings":["UNIST,Artificial Intelligence Graduate School"],"affiliations":[{"raw_affiliation_string":"UNIST,Artificial Intelligence Graduate School","institution_ids":["https://openalex.org/I4210164862"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084356379","display_name":"Byeong-Uk Lee","orcid":"https://orcid.org/0000-0003-2664-9863"},"institutions":[{"id":"https://openalex.org/I1290683524","display_name":"Kraft Heinz (United States)","ror":"https://ror.org/01s49js04","country_code":"US","type":"company","lineage":["https://openalex.org/I1290683524"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Byeong-Uk Lee","raw_affiliation_strings":["KRAFTON"],"affiliations":[{"raw_affiliation_string":"KRAFTON","institution_ids":["https://openalex.org/I1290683524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016637653","display_name":"Kyungdon Joo","orcid":"https://orcid.org/0000-0002-3920-9608"},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kyungdon Joo","raw_affiliation_strings":["UNIST,Artificial Intelligence Graduate School"],"affiliations":[{"raw_affiliation_string":"UNIST,Artificial Intelligence Graduate School","institution_ids":["https://openalex.org/I4210164862"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101986912"],"corresponding_institution_ids":["https://openalex.org/I4210164862"],"apc_list":null,"apc_paid":null,"fwci":3.5609,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93454228,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"16599","last_page":"16608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.996999979019165,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.996999979019165,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9936000108718872,"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/spherical-harmonics","display_name":"Spherical harmonics","score":0.6978741884231567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5887290835380554},{"id":"https://openalex.org/keywords/harmonics","display_name":"Harmonics","score":0.5595372915267944},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44522565603256226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36233240365982056},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3324674367904663},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14016848802566528},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1317550241947174},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.052599549293518066},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.05215081572532654}],"concepts":[{"id":"https://openalex.org/C3768446","wikidata":"https://www.wikidata.org/wiki/Q877100","display_name":"Spherical harmonics","level":2,"score":0.6978741884231567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5887290835380554},{"id":"https://openalex.org/C188414643","wikidata":"https://www.wikidata.org/wiki/Q3001183","display_name":"Harmonics","level":3,"score":0.5595372915267944},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44522565603256226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36233240365982056},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3324674367904663},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14016848802566528},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1317550241947174},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.052599549293518066},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.05215081572532654},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.01547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5099999904632568,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1575433626","https://openalex.org/W2098551034","https://openalex.org/W2102271310","https://openalex.org/W2105649179","https://openalex.org/W2136527382","https://openalex.org/W2792266081","https://openalex.org/W2945864190","https://openalex.org/W2963587345","https://openalex.org/W2963591054","https://openalex.org/W2964339842","https://openalex.org/W2982410429","https://openalex.org/W3034728336","https://openalex.org/W3109728105","https://openalex.org/W3126573238","https://openalex.org/W3126899967","https://openalex.org/W3136656704","https://openalex.org/W3138516171","https://openalex.org/W3171145773","https://openalex.org/W3173727695","https://openalex.org/W3175201472","https://openalex.org/W3215974962","https://openalex.org/W4312866948","https://openalex.org/W4312904920","https://openalex.org/W4313169545","https://openalex.org/W4313174897","https://openalex.org/W4385318467","https://openalex.org/W4386075731","https://openalex.org/W4386075964","https://openalex.org/W4386076510","https://openalex.org/W4386083069","https://openalex.org/W4390873176","https://openalex.org/W4390874192","https://openalex.org/W4402716102","https://openalex.org/W4402727022","https://openalex.org/W4402727901","https://openalex.org/W4403277914"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Motivated":[0],"by":[1,84,122],"the":[2,55,59,112,124,131,160],"efficiency":[3],"of":[4,58,114,164],"spherical":[5],"harmonics":[6],"(SH)":[7],"in":[8,130,167],"representing":[9],"various":[10,37,136],"physical":[11],"phenomena,":[12],"we":[13,48,94,134],"propose":[14],"a":[15,32,69],"Holistic":[16],"panoramic":[17,168],"3D":[18,38,169],"scene":[19,39,82,118,125,137,170],"Understanding":[20],"framework":[21,34],"using":[22,165],"Spherical":[23],"Harmonics,":[24],"dubbed":[25],"as":[26,77],"HUSH.":[27],"Our":[28],"approach":[29],"focuses":[30],"on":[31,155],"unified":[33],"adaptable":[35],"to":[36,63,79,107],"understanding":[40,119,138],"tasks":[41],"via":[42],"SH":[43,51,60,75,88,97,105,166],"bases.":[44],"To":[45],"achieve":[46],"this,":[47],"first":[49],"estimate":[50],"coefficients,":[52],"allowing":[53],"for":[54],"adaptive":[56],"configuration":[57],"bases":[61,76,89,106],"specific":[62],"each":[64],"scene.":[65],"HUSH":[66,115,151],"then":[67],"employs":[68],"hierarchical":[70],"attention":[71],"module":[72,100],"that":[73,101,150],"uses":[74],"queries":[78],"generate":[80],"comprehensive":[81],"features":[83,126,129],"integrating":[85],"these":[86],"scene-adaptive":[87],"with":[90,127],"image":[91],"features.":[92],"Additionally,":[93],"introduce":[95],"an":[96],"basis":[98],"index":[99],"adaptively":[102],"emphasizes":[103],"relevant":[104],"produce":[108],"task-relevant":[109,128],"features,":[110],"enhancing":[111],"versatility":[113],"across":[116],"different":[117],"tasks.":[120],"Finally,":[121],"combining":[123],"task-specific":[132],"heads,":[133],"perform":[135],"tasks,":[139],"including":[140],"depth,":[141],"surface":[142],"normal":[143],"and":[144,162],"room":[145],"layout":[146],"estimation.":[147],"Experiments":[148],"demonstrate":[149],"achieves":[152],"state-of-the-art":[153],"performance":[154],"depth":[156],"estimation":[157],"benchmarks,":[158],"highlighting":[159],"robustness":[161],"scalability":[163],"understanding.":[171],"For":[172],"more":[173],"information,":[174],"you":[175],"can":[176],"visit":[177],"our":[178],"project":[179],"page":[180],"https://vision3d-lab.github.io/hush/.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
