{"id":"https://openalex.org/W3191244609","doi":"https://doi.org/10.1145/3474085.3475592","title":"Visible Watermark Removal via Self-calibrated Localization and Background Refinement","display_name":"Visible Watermark Removal via Self-calibrated Localization and Background Refinement","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3191244609","doi":"https://doi.org/10.1145/3474085.3475592","mag":"3191244609"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2108.03581","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jing Liang","orcid":null},"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":"Jing Liang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li Niu","orcid":null},"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":"Li Niu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fengjun Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fengjun Guo","raw_affiliation_strings":["INTSIG, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INTSIG, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Teng Long","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Teng Long","raw_affiliation_strings":["INTSIG, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INTSIG, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Liqing Zhang","orcid":null},"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":"Liqing Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.8427,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.87472361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4426","last_page":"4434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9991000294685364,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9991000294685364,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.996999979019165,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/watermark","display_name":"Watermark","score":0.9521999955177307},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.689300000667572},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6553000211715698},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.43950000405311584},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3416000008583069},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.32330000400543213}],"concepts":[{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.9521999955177307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7900000214576721},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7353000044822693},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.689300000667572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6818000078201294},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6553000211715698},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.32330000400543213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.26919999718666077},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26260000467300415}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3474085.3475592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2108.03581","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.03581","pdf_url":"https://arxiv.org/pdf/2108.03581","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2108.03581","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.03581","pdf_url":"https://arxiv.org/pdf/2108.03581","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5863557945","display_name":null,"funder_award_id":"Grant No.61902247","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2037227137","https://openalex.org/W2108598243","https://openalex.org/W2128254161","https://openalex.org/W2132089535","https://openalex.org/W2133665775","https://openalex.org/W2161840740","https://openalex.org/W2216125271","https://openalex.org/W2256362396","https://openalex.org/W2331128040","https://openalex.org/W2565639579","https://openalex.org/W2738361803","https://openalex.org/W2799074129","https://openalex.org/W2884886306","https://openalex.org/W2894289548","https://openalex.org/W2895176907","https://openalex.org/W2896911342","https://openalex.org/W2899380831","https://openalex.org/W2951505650","https://openalex.org/W2962737447","https://openalex.org/W2962785568","https://openalex.org/W2963014378","https://openalex.org/W2963032190","https://openalex.org/W2963306157","https://openalex.org/W2963430933","https://openalex.org/W2963800716","https://openalex.org/W2963857746","https://openalex.org/W2964101377","https://openalex.org/W2964247799","https://openalex.org/W2979800813","https://openalex.org/W2981380309","https://openalex.org/W2982374186","https://openalex.org/W2991524597","https://openalex.org/W2998154526","https://openalex.org/W3034278302","https://openalex.org/W3035326127","https://openalex.org/W3093101131","https://openalex.org/W3093348923","https://openalex.org/W3097237744","https://openalex.org/W3119182190"],"related_works":[],"abstract_inverted_index":{"Superimposing":[0],"visible":[1,24],"watermarks":[2,25],"on":[3,135],"images":[4],"provides":[5],"a":[6,51,73,87,91],"powerful":[7],"weapon":[8],"to":[9,77,109,112,125],"cope":[10],"with":[11],"the":[12,21,79,96,100,106,114,118,127,139],"copyright":[13],"issue.":[14],"Watermark":[15],"removal":[16,37],"techniques,":[17],"which":[18,46,95],"can":[19],"strengthen":[20],"robustness":[22],"of":[23,67,86,130,141],"in":[26,94],"an":[27],"adversarial":[28],"way,":[29],"have":[30],"attracted":[31],"increasing":[32],"research":[33],"interest.":[34],"Modern":[35],"watermark":[36,40,62,88,97],"methods":[38],"perform":[39],"localization":[41],"and":[42,63,90,104],"background":[43,92,110],"restoration":[44],"simultaneously,":[45],"could":[47],"be":[48],"viewed":[49],"as":[50],"multi-task":[52,75],"learning":[53],"problem.":[54],"However,":[55],"existing":[56],"approaches":[57],"suffer":[58],"from":[59],"incomplete":[60],"detected":[61],"degraded":[64],"texture":[65,128],"quality":[66,129],"restored":[68],"background.":[69],"Therefore,":[70],"we":[71,121],"design":[72],"two-stage":[74],"network":[76],"address":[78],"above":[80],"issues.":[81],"The":[82],"coarse":[83],"stage":[84],"consists":[85],"branch":[89,98,111],"branch,":[93],"self-calibrates":[99],"roughly":[101],"estimated":[102],"mask":[103,108],"passes":[105],"calibrated":[107],"reconstruct":[113],"watermarked":[115,131],"area.":[116,132],"In":[117],"refinement":[119],"stage,":[120],"integrate":[122],"multi-level":[123],"features":[124],"improve":[126],"Extensive":[133],"experiments":[134],"two":[136],"datasets":[137],"demonstrate":[138],"effectiveness":[140],"our":[142],"proposed":[143],"method.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2021-08-16T00:00:00"}
