{"id":"https://openalex.org/W7131068182","doi":"https://doi.org/10.1109/iccvw69036.2025.00732","title":"Forgetting-Free Incremental Panoptic Lifting by Maximum-Visibility Viewpoint Selection","display_name":"Forgetting-Free Incremental Panoptic Lifting by Maximum-Visibility Viewpoint Selection","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7131068182","doi":"https://doi.org/10.1109/iccvw69036.2025.00732"},"language":null,"primary_location":{"id":"doi:10.1109/iccvw69036.2025.00732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00732","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 Workshops (ICCVW)","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/A5126589821","display_name":"Akira Kohjin","orcid":null},"institutions":[{"id":"https://openalex.org/I171494771","display_name":"Shiga University","ror":"https://ror.org/01vvhy971","country_code":"JP","type":"education","lineage":["https://openalex.org/I171494771"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Kohjin","raw_affiliation_strings":["Shiga University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shiga University","institution_ids":["https://openalex.org/I171494771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063687197","display_name":"Motoharu Sonogashira","orcid":"https://orcid.org/0000-0001-7429-4011"},"institutions":[{"id":"https://openalex.org/I4210110652","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Motoharu Sonogashira","raw_affiliation_strings":["RIKEN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN","institution_ids":["https://openalex.org/I4210110652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009968486","display_name":"Masaaki Iiyama","orcid":"https://orcid.org/0000-0002-7715-3078"},"institutions":[{"id":"https://openalex.org/I171494771","display_name":"Shiga University","ror":"https://ror.org/01vvhy971","country_code":"JP","type":"education","lineage":["https://openalex.org/I171494771"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Iiyama","raw_affiliation_strings":["Shiga University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shiga University","institution_ids":["https://openalex.org/I171494771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027960360","display_name":"Yasutomo Kawanishi","orcid":"https://orcid.org/0000-0002-3799-4550"},"institutions":[{"id":"https://openalex.org/I4210110652","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasutomo Kawanishi","raw_affiliation_strings":["RIKEN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN","institution_ids":["https://openalex.org/I4210110652"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.65070992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7095","last_page":"7104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.3808000087738037,"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":0.3808000087738037,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.08669999986886978,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0723000019788742,"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/selection","display_name":"Selection (genetic algorithm)","score":0.6342999935150146},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.5706999897956848},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5108000040054321},{"id":"https://openalex.org/keywords/panopticon","display_name":"Panopticon","score":0.49729999899864197},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.4893999993801117},{"id":"https://openalex.org/keywords/invisibility","display_name":"Invisibility","score":0.48429998755455017},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3944999873638153},{"id":"https://openalex.org/keywords/scratch","display_name":"Scratch","score":0.374099999666214},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.33480000495910645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404000163078308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6759999990463257},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6342999935150146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6013000011444092},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5706999897956848},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5108000040054321},{"id":"https://openalex.org/C138569888","wikidata":"https://www.wikidata.org/wiki/Q828310","display_name":"Panopticon","level":3,"score":0.49729999899864197},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.4893999993801117},{"id":"https://openalex.org/C50962388","wikidata":"https://www.wikidata.org/wiki/Q762018","display_name":"Invisibility","level":2,"score":0.48429998755455017},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3944999873638153},{"id":"https://openalex.org/C2781235140","wikidata":"https://www.wikidata.org/wiki/Q275131","display_name":"Scratch","level":2,"score":0.374099999666214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.335099995136261},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.31130000948905945},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.28349998593330383},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.28060001134872437},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C133074676","wikidata":"https://www.wikidata.org/wiki/Q428729","display_name":"Fusible alloy","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw69036.2025.00732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00732","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 Workshops (ICCVW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G845217661","display_name":"\u601d\u3044\u3084\u308aAI\u5275\u751f\u306b\u5411\u3051\u305f\u4eba\u306e\u57fa\u76e4\u30e2\u30c7\u30eb\u69cb\u7bc9\u306e\u305f\u3081\u306e\u56fd\u969b\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0","funder_award_id":"JPMJAP2305","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"}],"funders":[{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1680189815","https://openalex.org/W2108598243","https://openalex.org/W2471962767","https://openalex.org/W2594519801","https://openalex.org/W2999219213","https://openalex.org/W3009928773","https://openalex.org/W3138516171","https://openalex.org/W3203570626","https://openalex.org/W4200150166","https://openalex.org/W4285102264","https://openalex.org/W4312433568","https://openalex.org/W4386075898","https://openalex.org/W4390872457"],"related_works":[],"abstract_inverted_index":{"We":[0,90],"propose":[1],"an":[2],"incremental":[3],"learning":[4],"method":[5],"for":[6],"Panoptic":[7,29],"Lifting,":[8],"a":[9,25,44,79,92,98,104,118],"novel":[10],"view":[11],"synthesis":[12],"technique":[13],"that":[14,96,108],"leverages":[15],"both":[16],"RGB":[17],"images":[18],"and":[19,40],"panoptic":[20],"segmentation":[21],"masks":[22],"to":[23,52,67,102,125],"represent":[24],"3D":[26],"scene.":[27,114],"While":[28],"Lifting":[30],"is":[31,85],"valuable":[32],"in":[33,121],"applications":[34],"such":[35],"as":[36,54],"VR,":[37],"autonomous":[38],"vehicles,":[39],"robotics,":[41],"it":[42],"faces":[43],"challenge":[45],"when":[46],"observations":[47],"are":[48],"limited":[49],"(e.g.,":[50],"due":[51],"occlusions),":[53],"retraining":[55],"from":[56],"scratch":[57],"becomes":[58],"computationally":[59],"expensive.":[60],"Our":[61],"approach":[62],"incrementally":[63],"updates":[64],"the":[65,110,113,126],"model":[66,88],"achieve":[68],"high":[69],"accuracy":[70],"with":[71],"reduced":[72],"computational":[73],"cost.":[74],"To":[75],"prevent":[76],"catastrophic":[77,132],"forgetting,":[78],"phenomenon":[80],"where":[81],"previous":[82],"learned":[83],"knowledge":[84],"lost":[86],"during":[87],"updates,":[89],"introduce":[91],"viewpoint":[93],"selection":[94],"algorithm":[95],"solves":[97],"maximum":[99],"coverage":[100],"problem":[101],"identify":[103],"subset":[105],"of":[106,112],"viewpoints":[107],"maximizes":[109],"visibility":[111],"Experimental":[115],"results":[116],"demonstrate":[117],"12%":[119],"reduction":[120],"computation":[122],"time":[123],"compared":[124],"na\u00efve":[127],"approach,":[128],"while":[129],"effectively":[130],"preventing":[131],"forgetting.":[133]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2026-02-24T00:00:00"}
