{"id":"https://openalex.org/W4411550739","doi":"https://doi.org/10.1109/tip.2025.3580269","title":"Contrastive Conditional Latent Diffusion for Audio-Visual Segmentation","display_name":"Contrastive Conditional Latent Diffusion for Audio-Visual Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411550739","doi":"https://doi.org/10.1109/tip.2025.3580269","pmid":"https://pubmed.ncbi.nlm.nih.gov/40549531"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3580269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3580269","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5054666317","display_name":"Yuxin Mao","orcid":"https://orcid.org/0000-0002-9239-091X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Mao","raw_affiliation_strings":["School of Electronics and Information and Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Electronics and Information, Northwestern Polytechnical University, and Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9239-091X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information and Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, and Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630815","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-8516-0913"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["School of Electronics and Information and Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Electronics and Information, Northwestern Polytechnical University, and Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-8516-0913","affiliations":[{"raw_affiliation_string":"School of Electronics and Information and Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, and Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032741887","display_name":"Mochu Xiang","orcid":"https://orcid.org/0009-0006-7332-8324"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mochu Xiang","raw_affiliation_strings":["School of Electronics and Information and Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Electronics and Information, Northwestern Polytechnical University, and Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0006-7332-8324","affiliations":[{"raw_affiliation_string":"School of Electronics and Information and Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, and Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054874551","display_name":"Yunqiu Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunqiu Lv","raw_affiliation_strings":["School of Electronics and Information and Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Electronics and Information, Northwestern Polytechnical University, and Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information and Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, and Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dong Li","orcid":"https://orcid.org/0009-0000-3296-9287"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Li","raw_affiliation_strings":["Shanghai AI Laboratory, Shanghai, China","Shanghai AI Laboratory, China"],"raw_orcid":"https://orcid.org/0009-0000-3296-9287","affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]},{"raw_affiliation_string":"Shanghai AI Laboratory, China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066621365","display_name":"Yiran Zhong","orcid":"https://orcid.org/0000-0003-1404-3610"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiran Zhong","raw_affiliation_strings":["Shanghai AI Laboratory, Shanghai, China","Shanghai AI Laboratory, China"],"raw_orcid":"https://orcid.org/0000-0003-1404-3610","affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]},{"raw_affiliation_string":"Shanghai AI Laboratory, China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036202579","display_name":"Yuchao Dai","orcid":"https://orcid.org/0000-0002-4432-7406"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchao Dai","raw_affiliation_strings":["School of Electronics and Information and Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Electronics and Information, Northwestern Polytechnical University, and Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-4432-7406","affiliations":[{"raw_affiliation_string":"School of Electronics and Information and Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, and Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3201,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.9589754,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"34","issue":null,"first_page":"4108","last_page":"4119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6754663586616516},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6023797988891602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5865103602409363},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5099126100540161},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49791717529296875},{"id":"https://openalex.org/keywords/audio-visual","display_name":"Audio visual","score":0.4628637731075287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4532240331172943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42768919467926025},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.42741283774375916},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.32487785816192627},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.1756558120250702},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.1707775592803955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6754663586616516},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6023797988891602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5865103602409363},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5099126100540161},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49791717529296875},{"id":"https://openalex.org/C3017588708","wikidata":"https://www.wikidata.org/wiki/Q758901","display_name":"Audio visual","level":2,"score":0.4628637731075287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4532240331172943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42768919467926025},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.42741283774375916},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.32487785816192627},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.1756558120250702},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.1707775592803955}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3580269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3580269","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:40549531","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40549531","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2788081068","display_name":null,"funder_award_id":"62271410, 12150007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3766433509","display_name":null,"funder_award_id":"62271410","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3858504019","display_name":null,"funder_award_id":"CX2024014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6545572955","display_name":null,"funder_award_id":"12150007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2108598243","https://openalex.org/W2138621090","https://openalex.org/W2157364932","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2526050071","https://openalex.org/W2593116425","https://openalex.org/W2619383789","https://openalex.org/W2842511635","https://openalex.org/W2910628332","https://openalex.org/W2963150697","https://openalex.org/W3035014997","https://openalex.org/W3035524453","https://openalex.org/W3035633116","https://openalex.org/W3080686309","https://openalex.org/W3122412340","https://openalex.org/W3128661784","https://openalex.org/W3129110783","https://openalex.org/W3138516171","https://openalex.org/W3168822201","https://openalex.org/W3170630188","https://openalex.org/W3172615411","https://openalex.org/W3175515048","https://openalex.org/W3201037053","https://openalex.org/W3207322291","https://openalex.org/W3217030260","https://openalex.org/W4205991051","https://openalex.org/W4287073192","https://openalex.org/W4292829030","https://openalex.org/W4312408105","https://openalex.org/W4312933868","https://openalex.org/W4313123347","https://openalex.org/W4380303870","https://openalex.org/W4386057777","https://openalex.org/W4386075532","https://openalex.org/W4387969151","https://openalex.org/W4387969495","https://openalex.org/W4390872864","https://openalex.org/W4393159092","https://openalex.org/W4393160420","https://openalex.org/W4402916446","https://openalex.org/W4403386295","https://openalex.org/W4403791730","https://openalex.org/W4407775386","https://openalex.org/W4409367275","https://openalex.org/W6631190155","https://openalex.org/W6631637103","https://openalex.org/W6640963894","https://openalex.org/W6675751002","https://openalex.org/W6679045638","https://openalex.org/W6687045409","https://openalex.org/W6730323794","https://openalex.org/W6766364717","https://openalex.org/W6774670964","https://openalex.org/W6779823529","https://openalex.org/W6779992872","https://openalex.org/W6783713337","https://openalex.org/W6786093290","https://openalex.org/W6796475582","https://openalex.org/W6796505553","https://openalex.org/W6797027625","https://openalex.org/W6797906067","https://openalex.org/W6803674551","https://openalex.org/W6804703708","https://openalex.org/W6805547681","https://openalex.org/W6838582276","https://openalex.org/W6844872470","https://openalex.org/W6846258481","https://openalex.org/W6846594981","https://openalex.org/W6853233575"],"related_works":["https://openalex.org/W2271369634","https://openalex.org/W3147472394","https://openalex.org/W2047100085","https://openalex.org/W2350550760","https://openalex.org/W578794879","https://openalex.org/W1522196789","https://openalex.org/W1546240199","https://openalex.org/W4405974781","https://openalex.org/W2588117228","https://openalex.org/W614822286"],"abstract_inverted_index":{"Audio-visual":[0],"Segmentation":[1],"(AVS)":[2,51],"is":[3,12,69,119,122,253],"conceptualized":[4],"as":[5,14,204,212],"a":[6,42,86,205],"conditional":[7,16,44,95,128,152],"generation":[8,96],"task,":[9],"where":[10,59,207],"audio":[11,26,63,143,174,193,245],"considered":[13],"the":[15,20,36,55,60,65,73,94,99,109,113,127,132,139,142,147,151,155,161,167,173,190,208,213,222,228,242,259],"variable":[17,129],"for":[18,35,48,194,246],"segmenting":[19],"sound":[21],"producer(s).":[22],"In":[23,177],"this":[24,178,232],"case,":[25],"should":[27],"be":[28,199],"extensively":[29,137],"explored":[30],"to":[31,52,71,124,131,216],"maximize":[32],"its":[33],"contribution":[34,140,191,243],"final":[37,66],"segmentation":[38,50,67,101],"task.":[39],"We":[40,135],"propose":[41],"contrastive":[43,202,237],"latent":[45,87,181,233],"diffusion":[46,88,91,182,209,234],"model":[47,92,118,133,138,183,235],"audio-visual":[49,162],"thoroughly":[53],"investigate":[54],"impact":[56],"of":[57,98,141,154,166,192,244,250],"audio,":[58],"correlation":[61,75],"between":[62,76,150],"and":[64,164,221,263],"map":[68],"modeled":[70],"guarantee":[72],"strong":[74],"them.":[77],"To":[78],"achieve":[79,217],"semantic-correlated":[80],"representation":[81],"learning,":[82,238],"our":[83,117,180,251,268],"framework":[84],"incorporates":[85],"model.":[89],"The":[90,248],"learns":[93],"process":[97,111],"ground-truth":[100,105],"map,":[102],"resulting":[103],"in":[104],"aware":[106],"inference":[107],"during":[108],"denoising":[110],"at":[112],"test":[114],"stage.":[115],"As":[116],"conditional,":[120],"it":[121],"vital":[123],"ensure":[125],"that":[126,165],"contributes":[130],"output.":[134],"thus":[136],"signal":[144],"by":[145],"minimizing":[146],"density":[148,185,223],"ratio":[149,186,224],"probability":[153],"multimodal":[156],"data,":[157,163,169],"e.g.":[158,170],"conditioned":[159,171],"on":[160,172,258],"unimodal":[168],"data":[175],"only.":[176],"way,":[179],"via":[184,236,267],"optimization":[187,225],"explicitly":[188],"maximizes":[189],"AVS,":[195],"which":[196],"can":[197],"then":[198],"achieved":[200],"with":[201],"learning":[203],"constraint,":[206],"part":[210,226],"serves":[211],"main":[214],"objective":[215],"maximum":[218],"likelihood":[219],"estimation,":[220],"imposes":[227],"constraint.":[229],"By":[230],"adopting":[231],"we":[239],"effectively":[240],"enhance":[241],"AVS.":[247],"effectiveness":[249],"solution":[252],"validated":[254],"through":[255],"experimental":[256],"results":[257,264],"benchmark":[260],"dataset.":[261],"Code":[262],"are":[265],"online":[266],"project":[269],"page:":[270],"https://github.com/OpenNLPLab/DiffusionAVS.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
