{"id":"https://openalex.org/W4414360028","doi":"https://doi.org/10.24963/ijcai.2025/207","title":"MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval","display_name":"MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360028","doi":"https://doi.org/10.24963/ijcai.2025/207"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/207","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5004409803","display_name":"Naoya Sogi","orcid":"https://orcid.org/0000-0002-2560-4818"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Naoya Sogi","raw_affiliation_strings":["NEC Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010157078","display_name":"Takashi Shibata","orcid":"https://orcid.org/0000-0001-8072-3847"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takashi Shibata","raw_affiliation_strings":["NEC Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026363649","display_name":"Makoto Terao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Makoto Terao","raw_affiliation_strings":["NEC Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042810984","display_name":"Masanori Suganuma","orcid":"https://orcid.org/0000-0002-1469-9663"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanori Suganuma","raw_affiliation_strings":["Tohoku University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tohoku University","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009259465","display_name":"Takayuki Okatani","orcid":"https://orcid.org/0000-0001-9222-763X"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Okatani","raw_affiliation_strings":["RIKEN Center for AIP","Tohoku University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN Center for AIP","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"Tohoku University","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004409803"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27629426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1856","last_page":"1864"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.7348999977111816,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.7348999977111816,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.6777999997138977,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6335999965667725},{"id":"https://openalex.org/keywords/determinantal-point-process","display_name":"Determinantal point process","score":0.6305000185966492},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5152000188827515},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4794999957084656},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4390000104904175},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.42739999294281006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4244999885559082},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.39969998598098755},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.3578000068664551}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6335999965667725},{"id":"https://openalex.org/C72010251","wikidata":"https://www.wikidata.org/wiki/Q5265688","display_name":"Determinantal point process","level":4,"score":0.6305000185966492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5910999774932861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5471000075340271},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5152000188827515},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4794999957084656},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4390000104904175},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.42739999294281006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4244999885559082},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38519999384880066},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.3578000068664551},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3407999873161316},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.32600000500679016},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C138187205","wikidata":"https://www.wikidata.org/wiki/Q131251","display_name":"Tangent","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28189998865127563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2793999910354614},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26019999384880066},{"id":"https://openalex.org/C180916674","wikidata":"https://www.wikidata.org/wiki/Q3711935","display_name":"Diversification (marketing strategy)","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/207","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Result":[0],"diversification":[1],"(RD)":[2],"is":[3],"a":[4,15,52,85,103,108,114],"crucial":[5],"technique":[6],"in":[7],"Text-to-Image":[8],"Retrieval":[9],"for":[10],"enhancing":[11],"the":[12,24,31,41,45,67,74,92,128,131],"efficiency":[13],"of":[14,27,47,60,69,130],"practical":[16],"application.":[17],"Conventional":[18],"methods":[19],"focus":[20],"solely":[21],"on":[22,40,113],"increasing":[23],"diversity":[25,32],"metric":[26,33],"image":[28],"appearances.":[29],"However,":[30],"and":[34],"its":[35],"desired":[36],"value":[37],"vary":[38],"depending":[39],"application,":[42],"which":[43],"limits":[44],"applications":[46],"RD.":[48],"This":[49],"paper":[50],"proposes":[51],"novel":[53],"task":[54],"called":[55],"CDR-CA":[56,63],"(Contextual":[57],"Diversity":[58],"Refinement":[59],"Composite":[61],"Attributes).":[62],"aims":[64],"to":[65,73,97,122],"refine":[66],"diversities":[68],"multiple":[70],"attributes,":[71],"according":[72],"application's":[75],"context.":[76],"To":[77],"address":[78],"this":[79],"task,":[80],"we":[81],"propose":[82],"Multi-Source":[83],"DPPs,":[84],"simple":[86],"yet":[87],"strong":[88],"baseline":[89],"that":[90],"extends":[91],"Determinantal":[93],"Point":[94],"Process":[95],"(DPP)":[96],"multi-sources.":[98],"We":[99,117],"model":[100,106],"MS-DPP":[101],"as":[102],"single":[104],"DPP":[105],"with":[107],"unified":[109],"similarity":[110],"matrix":[111],"based":[112],"manifold":[115],"representation.":[116],"also":[118],"introduce":[119],"Tangent":[120],"Normalization":[121],"reflect":[123],"contexts.":[124],"Extensive":[125],"experiments":[126],"demonstrate":[127],"effectiveness":[129],"proposed":[132],"method.":[133]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
