{"id":"https://openalex.org/W3139856562","doi":"https://doi.org/10.1109/icpr48806.2021.9413320","title":"SECI-GAN: Semantic and Edge Completion for dynamic objects removal","display_name":"SECI-GAN: Semantic and Edge Completion for dynamic objects removal","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3139856562","doi":"https://doi.org/10.1109/icpr48806.2021.9413320","mag":"3139856562"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ora.ox.ac.uk/objects/uuid:61f9f5a5-e8b6-4bdb-b89d-5f0bf098e62b","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045475878","display_name":"Francesco Pinto","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Francesco Pinto","raw_affiliation_strings":["University of Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023230310","display_name":"Andrea Romanoni","orcid":"https://orcid.org/0000-0001-6941-6053"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Romanoni","raw_affiliation_strings":["Politecnico di Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003932703","display_name":"Matteo Matteucci","orcid":"https://orcid.org/0000-0002-8306-6739"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Matteucci","raw_affiliation_strings":["Politecnico di Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042899882","display_name":"Philip H. S. Torr","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip H.S. Torr","raw_affiliation_strings":["University of Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3881,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59290979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"10441","last_page":"10448"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9914000034332275,"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":0.8358240723609924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.738716721534729},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6646493673324585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6406602263450623},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6261951923370361},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5852775573730469},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5820358991622925},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5669214129447937},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5533711910247803},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4555283188819885},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4320266544818878},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.428936630487442},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0986449122428894}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8358240723609924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.738716721534729},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6646493673324585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6406602263450623},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6261951923370361},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5852775573730469},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5820358991622925},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5669214129447937},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5533711910247803},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4555283188819885},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4320266544818878},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.428936630487442},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0986449122428894},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:61f9f5a5-e8b6-4bdb-b89d-5f0bf098e62b","is_oa":true,"landing_page_url":null,"pdf_url":"https://ora.ox.ac.uk/objects/uuid:61f9f5a5-e8b6-4bdb-b89d-5f0bf098e62b","source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Conference item"},{"id":"pmh:oai:re.public.polimi.it:11311/1157726","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1157726","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:ora.ox.ac.uk:uuid:61f9f5a5-e8b6-4bdb-b89d-5f0bf098e62b","is_oa":true,"landing_page_url":null,"pdf_url":"https://ora.ox.ac.uk/objects/uuid:61f9f5a5-e8b6-4bdb-b89d-5f0bf098e62b","source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Conference item"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1203979484","display_name":null,"funder_award_id":"EP/N019474/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3139856562.pdf","grobid_xml":"https://content.openalex.org/works/W3139856562.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1981782146","https://openalex.org/W1993120651","https://openalex.org/W1999504879","https://openalex.org/W2025068327","https://openalex.org/W2029411311","https://openalex.org/W2100415658","https://openalex.org/W2133665775","https://openalex.org/W2145023731","https://openalex.org/W2194775991","https://openalex.org/W2295936755","https://openalex.org/W2340897893","https://openalex.org/W2507536062","https://openalex.org/W2604527806","https://openalex.org/W2611104282","https://openalex.org/W2738588019","https://openalex.org/W2785678896","https://openalex.org/W2798365772","https://openalex.org/W2801693445","https://openalex.org/W2805553723","https://openalex.org/W2890090517","https://openalex.org/W2891485065","https://openalex.org/W2901936680","https://openalex.org/W2950862326","https://openalex.org/W2962555351","https://openalex.org/W2962785568","https://openalex.org/W2962835968","https://openalex.org/W2962853753","https://openalex.org/W2963270367","https://openalex.org/W2963411025","https://openalex.org/W2963420272","https://openalex.org/W2963653779","https://openalex.org/W2963836885","https://openalex.org/W2963917315","https://openalex.org/W2963981733","https://openalex.org/W2964148878","https://openalex.org/W2981408470","https://openalex.org/W2981682056","https://openalex.org/W2982763192","https://openalex.org/W2991377405","https://openalex.org/W3043547428","https://openalex.org/W3100903158","https://openalex.org/W3136799815","https://openalex.org/W4249710618","https://openalex.org/W4301206121","https://openalex.org/W6637373629","https://openalex.org/W6687483927","https://openalex.org/W6741563403","https://openalex.org/W6750942122","https://openalex.org/W6750997056","https://openalex.org/W6752437260","https://openalex.org/W6755053353","https://openalex.org/W6756943651","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W4242046654","https://openalex.org/W1504109132","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W3174923100","https://openalex.org/W2244018504","https://openalex.org/W3035059915","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Image":[0],"inpainting":[1,70],"aims":[2],"at":[3,126],"synthesizing":[4],"the":[5,51,59,68,85,93,105,114,128,131,134],"missing":[6,135],"content":[7,132],"of":[8,95,107,133],"damaged":[9],"or":[10,90],"corrupted":[11],"images":[12],"to":[13,66,84],"produce":[14],"visually":[15],"realistic":[16],"restorations;":[17],"typical":[18],"applications":[19],"are":[20],"in":[21,92],"image":[22,69],"restoration,":[23],"automatic":[24],"scene":[25],"editing,":[26],"super-resolution,":[27],"and":[28,38,58,130],"dynamic":[29,96],"object":[30,87,97],"removal.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,109],"propose":[36],"Semantic":[37],"Edge":[39],"Conditioned":[40],"Inpainting":[41],"Generative":[42],"Adversarial":[43],"Network":[44],"(SECI-GAN),":[45],"an":[46],"architecture":[47],"that":[48,118],"jointly":[49],"exploits":[50],"high-level":[52],"cues":[53],"extracted":[54],"by":[55,63],"semantic":[56],"segmentation":[57],"fine-grained":[60],"details":[61],"captured":[62],"edge":[64],"extraction":[65],"condition":[67],"process.":[71],"SECI-GAN":[72,119],"is":[73,120],"designed":[74],"with":[75],"a":[76],"particular":[77],"focus":[78],"on":[79,113],"recovering":[80,127],"big":[81],"regions":[82],"belonging":[83],"same":[86],"(e.g.":[88],"cars":[89],"pedestrians)":[91],"context":[94],"removal":[98],"from":[99],"complex":[100],"street":[101],"views.":[102],"To":[103],"demonstrate":[104],"effectiveness":[106],"SECI-GAN,":[108],"evaluate":[110],"our":[111],"results":[112],"Cityscapes":[115],"dataset,":[116],"showing":[117],"better":[121],"than":[122],"competing":[123],"state-of-the-art":[124],"models":[125],"structure":[129],"parts":[136],"while":[137],"producing":[138],"consistent":[139],"predictions.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
