{"id":"https://openalex.org/W4415708035","doi":"https://doi.org/10.1109/icme59968.2025.11209439","title":"G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models","display_name":"G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708035","doi":"https://doi.org/10.1109/icme59968.2025.11209439"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100671125","display_name":"Tianjiao Zhang","orcid":"https://orcid.org/0000-0001-9807-8620"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianjiao Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University,CMIC"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,CMIC","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412178","display_name":"Fei Zhang","orcid":"https://orcid.org/0000-0002-4488-8692"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University,CMIC"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,CMIC","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102922412","display_name":"Jiangchao Yao","orcid":"https://orcid.org/0000-0001-6115-5194"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangchao Yao","raw_affiliation_strings":["Shanghai Jiao Tong University,CMIC"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,CMIC","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086596302","display_name":"Ya Zhang","orcid":"https://orcid.org/0000-0002-3366-9304"},"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"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Ya Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Artificial Intelligence","institution_ids":["https://openalex.org/I4210164862","https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645706","display_name":"Yanfeng Wang","orcid":"https://orcid.org/0000-0002-3859-0937"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"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","CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Wang","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Artificial Intelligence","institution_ids":["https://openalex.org/I4210164862","https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100671125"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33711121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.8389000296592712,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.8389000296592712,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.024700000882148743,"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/T11448","display_name":"Face recognition and analysis","score":0.02449999935925007,"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/discriminative-model","display_name":"Discriminative model","score":0.8133000135421753},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7246999740600586},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6292999982833862},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6086999773979187},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5338000059127808},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48969998955726624},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4465999901294708}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8133000135421753},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7246999740600586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218000292778015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7014999985694885},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6292999982833862},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6086999773979187},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5338000059127808},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48969998955726624},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4465999901294708},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.40130001306533813},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37450000643730164},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3334999978542328},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27239999175071716},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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":25,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2125215748","https://openalex.org/W2160754664","https://openalex.org/W2412782625","https://openalex.org/W2962758679","https://openalex.org/W2962867364","https://openalex.org/W3034930876","https://openalex.org/W4312330522","https://openalex.org/W4312509967","https://openalex.org/W4312836939","https://openalex.org/W4312933868","https://openalex.org/W4312960937","https://openalex.org/W4312980231","https://openalex.org/W4386065432","https://openalex.org/W4386066092","https://openalex.org/W4386071798","https://openalex.org/W4386075766","https://openalex.org/W4386075819","https://openalex.org/W4386076532","https://openalex.org/W4390872669","https://openalex.org/W4390872671","https://openalex.org/W4390874575","https://openalex.org/W4403759200","https://openalex.org/W4408810164"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,14,42,53,77,86,95],"problem":[4],"of":[5,90,97,109],"utilizing":[6],"a":[7,65,71],"large-scale":[8],"text-to-image":[9],"diffusion":[10],"model":[11,102],"to":[12,63,101],"tackle":[13],"challenging":[15],"Inexact":[16],"Segmentation":[17],"(IS)":[18],"task.":[19],"Unlike":[20],"traditional":[21],"approaches":[22,111],"that":[23],"rely":[24],"heavily":[25],"on":[26,41],"discriminative-model-based":[27],"paradigms":[28],"or":[29],"dense":[30,103],"visual":[31],"representations":[32,104],"derived":[33],"from":[34],"internal":[35],"attention":[36],"mechanisms,":[37],"our":[38,91],"method":[39],"focuses":[40],"intrinsic":[43],"generative":[44,110],"priors":[45],"in":[46],"Stable":[47],"Diffusion":[48],"(SD).":[49],"Specifically,":[50],"we":[51],"exploit":[52],"pattern":[54],"discrepancies":[55,100],"between":[56],"original":[57],"images":[58,62],"and":[59,75,82,88,105],"mask-conditional":[60],"generated":[61],"facilitate":[64],"coarse-to-fine":[66],"segmentation":[67],"refinement":[68],"by":[69],"establishing":[70],"semantic":[72],"correspondence":[73],"alignment":[74],"updating":[76],"foreground":[78],"probability.":[79],"Comprehensive":[80],"quantitative":[81],"qualitative":[83],"experiments":[84],"validate":[85],"effectiveness":[87],"superiority":[89],"plug-and-play":[92],"design,":[93],"underscoring":[94],"potential":[96],"leveraging":[98],"generation":[99],"encouraging":[106],"further":[107],"exploration":[108],"for":[112],"solving":[113],"discriminative":[114],"tasks.":[115]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-30T00:00:00"}