{"id":"https://openalex.org/W4392903648","doi":"https://doi.org/10.1109/icassp48485.2024.10448193","title":"Blind Inpainting with Object-Aware Discrimination for Artificial Marker Removal","display_name":"Blind Inpainting with Object-Aware Discrimination for Artificial Marker Removal","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903648","doi":"https://doi.org/10.1109/icassp48485.2024.10448193"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10448193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5018711512","display_name":"Xuechen Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuechen Guo","raw_affiliation_strings":["Zhejiang University,ZJU-UIUC Institute,China","ZJU-UIUC Institute, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,ZJU-UIUC Institute,China","institution_ids":["https://openalex.org/I4210158570"]},{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University, China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074406685","display_name":"Wenhao Hu","orcid":"https://orcid.org/0000-0003-1511-2614"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Hu","raw_affiliation_strings":["Zhejiang University,ZJU-UIUC Institute,China","ZJU-UIUC Institute, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,ZJU-UIUC Institute,China","institution_ids":["https://openalex.org/I4210158570"]},{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University, China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022311331","display_name":"Chiming Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chiming Ni","raw_affiliation_strings":["Zhejiang University,ZJU-UIUC Institute,China","ZJU-UIUC Institute, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,ZJU-UIUC Institute,China","institution_ids":["https://openalex.org/I4210158570"]},{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University, China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103021774","display_name":"Wenhao Chai","orcid":"https://orcid.org/0000-0003-2611-0008"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenhao Chai","raw_affiliation_strings":["University of Washington,Department of Electrical &amp; Computer Engineering,USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,Department of Electrical &amp; Computer Engineering,USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058143402","display_name":"Shiyan Li","orcid":"https://orcid.org/0000-0001-9907-5763"},"institutions":[{"id":"https://openalex.org/I2802390878","display_name":"Sir Run Run Shaw Hospital","ror":"https://ror.org/00ka6rp58","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802390878"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyan Li","raw_affiliation_strings":["Zhejiang University,Sir Run Run Shaw Hospital,China","Sir Run Run Shaw Hospital, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Sir Run Run Shaw Hospital,China","institution_ids":["https://openalex.org/I2802390878"]},{"raw_affiliation_string":"Sir Run Run Shaw Hospital, Zhejiang University, China","institution_ids":["https://openalex.org/I2802390878","https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089410490","display_name":"Gaoang Wang","orcid":"https://orcid.org/0000-0002-8403-1538"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoang Wang","raw_affiliation_strings":["Zhejiang University,ZJU-UIUC Institute,China","ZJU-UIUC Institute, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,ZJU-UIUC Institute,China","institution_ids":["https://openalex.org/I4210158570"]},{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University, China","institution_ids":["https://openalex.org/I4210158570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018711512"],"corresponding_institution_ids":["https://openalex.org/I4210158570"],"apc_list":null,"apc_paid":null,"fwci":0.4893,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60259775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1516","last_page":"1520"},"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":0.9984999895095825,"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":0.9984999895095825,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976999759674072,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9962000250816345,"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/inpainting","display_name":"Inpainting","score":0.9344043731689453},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.8910560607910156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8118326663970947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7692903280258179},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6718924045562744},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6056528091430664},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5062002539634705},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49135079979896545},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4773823618888855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4723067283630371},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4604971408843994},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4490646421909332},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4440034329891205},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.2548210024833679},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06836098432540894}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9344043731689453},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8910560607910156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8118326663970947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7692903280258179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6718924045562744},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6056528091430664},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5062002539634705},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49135079979896545},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4773823618888855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4723067283630371},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4604971408843994},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4490646421909332},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4440034329891205},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.2548210024833679},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06836098432540894},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10448193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5099999904632568,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6473221358","display_name":null,"funder_award_id":"62106219","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1715998497","https://openalex.org/W1901129140","https://openalex.org/W1950315773","https://openalex.org/W2106033751","https://openalex.org/W2297358468","https://openalex.org/W2963852062","https://openalex.org/W2972168296","https://openalex.org/W2982763192","https://openalex.org/W2990150186","https://openalex.org/W2992838650","https://openalex.org/W3003951577","https://openalex.org/W3010665766","https://openalex.org/W3105938520","https://openalex.org/W3170697543","https://openalex.org/W4289147189","https://openalex.org/W4307207197","https://openalex.org/W4310631370","https://openalex.org/W4312383858","https://openalex.org/W6637373629","https://openalex.org/W6761240458","https://openalex.org/W6845992258","https://openalex.org/W6847118160","https://openalex.org/W6931202655"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W1489300767","https://openalex.org/W2117562399"],"abstract_inverted_index":{"Medical":[0],"images":[1,87,116],"often":[2],"incorporate":[3],"doctor-added":[4],"markers":[5,109],"that":[6,48,82],"can":[7],"hinder":[8],"AI-based":[9],"diagnosis.":[10],"This":[11],"issue":[12],"highlights":[13],"the":[14,21,35,54,91,96,105,114,119],"need":[15],"of":[16,100,129],"inpainting":[17,46],"techniques":[18],"to":[19],"restore":[20,90],"corrupted":[22,55,84],"visual":[23,51,93],"contents.":[24,94],"However,":[25],"existing":[26],"methods":[27],"require":[28],"manual":[29],"mask":[30,58],"annotation":[31],"as":[32,60],"input,":[33],"limiting":[34],"application":[36],"scenarios.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"a":[43,65,101],"novel":[44],"blind":[45,66],"method":[47,125],"automatically":[49],"reconstructs":[50],"contents":[52],"within":[53],"regions":[56,85],"without":[57],"input":[59],"guidance.":[61],"Our":[62],"model":[63],"includes":[64],"reconstruction":[67,77],"network":[68,78],"and":[69,88],"an":[70],"object-aware":[71,106],"discriminator":[72,107],"for":[73],"adversarial":[74],"training.":[75],"The":[76],"contains":[79],"two":[80],"branches":[81],"predict":[83],"in":[86],"simultaneously":[89],"missing":[92],"Leveraging":[95],"potent":[97],"recognition":[98],"capability":[99],"dense":[102],"object":[103],"detector,":[104],"ensures":[108],"undetectable":[110],"after":[111],"inpainting.":[112],"Thus,":[113],"restored":[115],"closely":[117],"resemble":[118],"clean":[120],"ones.":[121],"We":[122],"evaluate":[123],"our":[124],"on":[126],"three":[127],"datasets":[128],"various":[130],"medical":[131],"imaging":[132],"modalities,":[133],"confirming":[134],"better":[135],"performance":[136],"over":[137],"other":[138],"state-of-the-art":[139],"methods.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
