{"id":"https://openalex.org/W4388188879","doi":"https://doi.org/10.1145/3581783.3612246","title":"Scene-Generalizable Interactive Segmentation of Radiance Fields","display_name":"Scene-Generalizable Interactive Segmentation of Radiance Fields","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388188879","doi":"https://doi.org/10.1145/3581783.3612246"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612246","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5052779692","display_name":"Shunong Tang","orcid":"https://orcid.org/0009-0004-9449-5848"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlin Tang","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0004-9449-5848","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078487642","display_name":"Wenjie Pei","orcid":"https://orcid.org/0000-0001-8117-2696"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Pei","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8117-2696","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037702873","display_name":"Xin Tao","orcid":"https://orcid.org/0000-0001-9126-4746"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Tao","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9126-4746","affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071952113","display_name":"T. Jia","orcid":"https://orcid.org/0009-0006-3699-3966"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tanghui Jia","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0006-3699-3966","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030843117","display_name":"Guangming Lu","orcid":"https://orcid.org/0000-0003-1578-2634"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Lu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies & Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1578-2634","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies & Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001987788","display_name":"Yu\u2010Wing Tai","orcid":"https://orcid.org/0000-0002-3148-0380"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Wing Tai","raw_affiliation_strings":["Dartmouth College, Hanover, NH, USA"],"raw_orcid":"https://orcid.org/0000-0002-3148-0380","affiliations":[{"raw_affiliation_string":"Dartmouth College, Hanover, NH, USA","institution_ids":["https://openalex.org/I107672454"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6744","last_page":"6755"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9991999864578247,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8191618919372559},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.8131119012832642},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8024798035621643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6980587244033813},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6488712430000305},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5914552807807922},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4944016933441162},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43304207921028137},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41117945313453674},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.10599282383918762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08169421553611755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8191618919372559},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.8131119012832642},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8024798035621643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6980587244033813},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6488712430000305},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5914552807807922},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4944016933441162},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43304207921028137},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41117945313453674},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.10599282383918762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08169421553611755},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612246","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2099244020","https://openalex.org/W2133665775","https://openalex.org/W2300469113","https://openalex.org/W2738551266","https://openalex.org/W2798365772","https://openalex.org/W2948553897","https://openalex.org/W2962785568","https://openalex.org/W2964288609","https://openalex.org/W3034550159","https://openalex.org/W3034586976","https://openalex.org/W3132926949","https://openalex.org/W3136656704","https://openalex.org/W3159481202","https://openalex.org/W3171145773","https://openalex.org/W3177583232","https://openalex.org/W3196466825","https://openalex.org/W3204859697","https://openalex.org/W3210613940","https://openalex.org/W3215589927","https://openalex.org/W3215769467","https://openalex.org/W4200150166","https://openalex.org/W4214588164","https://openalex.org/W4221151978","https://openalex.org/W4240951038","https://openalex.org/W4281905095","https://openalex.org/W4312280420","https://openalex.org/W4312325284","https://openalex.org/W4312433568","https://openalex.org/W4312480149","https://openalex.org/W4312603257","https://openalex.org/W4312632331","https://openalex.org/W4312706422","https://openalex.org/W4312940821","https://openalex.org/W4321512591","https://openalex.org/W4376647952","https://openalex.org/W4386065379"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703","https://openalex.org/W3199300986"],"abstract_inverted_index":{"Existing":[0],"methods":[1],"for":[2,51],"interactive":[3,64],"segmentation":[4,50,139],"in":[5,35,67,145],"radiance":[6,57],"fields":[7],"entail":[8],"scene-specific":[9,180],"optimization":[10],"and":[11,39,134,166],"thus":[12],"cannot":[13],"generalize":[14],"across":[15],"different":[16],"scenes,":[17],"which":[18,45],"greatly":[19],"limits":[20],"their":[21],"applicability.":[22],"In":[23,75],"this":[24],"work":[25],"we":[26,92],"make":[27],"the":[28,77,94,100,111,136,143,169],"first":[29],"attempt":[30],"at":[31],"Scene-Generalizable":[32],"Interactive":[33],"Segmentation":[34,114],"Radiance":[36],"Fields":[37],"(SGISRF)":[38],"propose":[40],"a":[41,62,68],"novel":[42,52],"SGISRF":[43,79],"method,":[44,171],"can":[46],"perform":[47],"3D":[48,107,113,123,138],"object":[49],"(unseen)":[53],"scenes":[54,162],"represented":[55],"by":[56,60],"fields,":[58],"guided":[59],"only":[61,149],"few":[63],"user":[65,103],"clicks":[66,104],"given":[69],"set":[70],"of":[71,168],"multi-view":[72],"2D":[73,102,146,150],"images.":[74],"particular,":[76],"proposed":[78,131,170],"focuses":[80],"on":[81,155],"addressing":[82],"three":[83,87],"crucial":[84],"challenges":[85],"with":[86,148],"specially":[88],"designed":[89,117],"techniques.":[90],"First,":[91],"devise":[93],"Cross-Dimension":[95],"Guidance":[96],"Propagation":[97],"to":[98,118,132,176],"encode":[99],"scarce":[101],"into":[105],"informative":[106],"guidance":[108],"representations.":[109],"Second,":[110],"Uncertainty-Eliminated":[112],"module":[115],"is":[116,130],"achieve":[119],"efficient":[120],"yet":[121],"effective":[122],"segmentation.":[124],"Third,":[125],"Concealment-Revealed":[126],"Supervised":[127],"Learning":[128],"scheme":[129],"reveal":[133],"correct":[135],"concealed":[137],"errors":[140],"resulted":[141],"from":[142],"supervision":[144],"space":[147],"mask":[151],"annotations.":[152],"Extensive":[153],"experiments":[154],"two":[156],"real-world":[157],"challenging":[158],"benchmarks":[159],"covering":[160],"diverse":[161],"demonstrate":[163],"1)":[164],"effectiveness":[165],"scene-generalizability":[167],"2)":[172],"favorable":[173],"performance":[174],"compared":[175],"classical":[177],"method":[178],"requiring":[179],"optimization.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}