{"id":"https://openalex.org/W3015628063","doi":"https://doi.org/10.1109/icassp40776.2020.9054651","title":"A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation","display_name":"A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015628063","doi":"https://doi.org/10.1109/icassp40776.2020.9054651","mag":"3015628063"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 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/A5100782023","display_name":"Wei Pu","orcid":"https://orcid.org/0000-0003-3632-3082"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Wei Pu","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University College, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University College, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074615861","display_name":"Barak Sober","orcid":"https://orcid.org/0000-0001-5090-5551"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Barak Sober","raw_affiliation_strings":["Department of Mathematics and Rhodes Information Initiative, Duke University, US"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Rhodes Information Initiative, Duke University, US","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068565350","display_name":"Nathan Daly","orcid":"https://orcid.org/0000-0001-9932-4213"},"institutions":[{"id":"https://openalex.org/I1281955477","display_name":"The National Gallery","ror":"https://ror.org/043kfff89","country_code":"GB","type":"archive","lineage":["https://openalex.org/I1281955477"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nathan Daly","raw_affiliation_strings":["Scientific Department, National Gallery, London, UK"],"affiliations":[{"raw_affiliation_string":"Scientific Department, National Gallery, London, UK","institution_ids":["https://openalex.org/I1281955477"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078198852","display_name":"Catherine Higgitt","orcid":"https://orcid.org/0000-0002-7928-6763"},"institutions":[{"id":"https://openalex.org/I1281955477","display_name":"The National Gallery","ror":"https://ror.org/043kfff89","country_code":"GB","type":"archive","lineage":["https://openalex.org/I1281955477"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Catherine Higgitt","raw_affiliation_strings":["Scientific Department, National Gallery, London, UK"],"affiliations":[{"raw_affiliation_string":"Scientific Department, National Gallery, London, UK","institution_ids":["https://openalex.org/I1281955477"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108565885","display_name":"Ingrid Daubechies","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ingrid Daubechies","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, US"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, US","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044634366","display_name":"Miguel R. D. Rodrigues","orcid":"https://orcid.org/0000-0002-8908-847X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miguel R.D. Rodrigues","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University College, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University College, London, UK","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100782023"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":0.6839,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7100726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2213","last_page":"2217"},"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":0.9937999844551086,"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":0.9937999844551086,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9866999983787537,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.982200026512146,"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/computer-science","display_name":"Computer science","score":0.7084200382232666},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6719546914100647},{"id":"https://openalex.org/keywords/painting","display_name":"Painting","score":0.6494442224502563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6382944583892822},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5689173340797424},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49758628010749817},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4949783682823181},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4383700489997864},{"id":"https://openalex.org/keywords/altarpiece","display_name":"Altarpiece","score":0.41994088888168335},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4115844964981079},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3428078293800354},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.15830877423286438},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.11635175347328186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084200382232666},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6719546914100647},{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.6494442224502563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6382944583892822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5689173340797424},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49758628010749817},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4949783682823181},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4383700489997864},{"id":"https://openalex.org/C2780475561","wikidata":"https://www.wikidata.org/wiki/Q15711026","display_name":"Altarpiece","level":3,"score":0.41994088888168335},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4115844964981079},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3428078293800354},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.15830877423286438},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.11635175347328186},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1491379520","https://openalex.org/W1496920063","https://openalex.org/W1743178772","https://openalex.org/W1963494660","https://openalex.org/W2022487554","https://openalex.org/W2022576093","https://openalex.org/W2030735335","https://openalex.org/W2031647436","https://openalex.org/W2059921811","https://openalex.org/W2062710265","https://openalex.org/W2092424368","https://openalex.org/W2099471712","https://openalex.org/W2114119345","https://openalex.org/W2126259279","https://openalex.org/W2277078106","https://openalex.org/W2460742184","https://openalex.org/W2492439964","https://openalex.org/W2905258586","https://openalex.org/W2953368614","https://openalex.org/W2971101288","https://openalex.org/W2999188872","https://openalex.org/W3122285102","https://openalex.org/W4320013936","https://openalex.org/W6656050467","https://openalex.org/W6678569015","https://openalex.org/W7042924144"],"related_works":["https://openalex.org/W2494671248","https://openalex.org/W1973543382","https://openalex.org/W2276095154","https://openalex.org/W2259066363","https://openalex.org/W2342667681","https://openalex.org/W2298323217","https://openalex.org/W2303037867","https://openalex.org/W264311592","https://openalex.org/W627686627","https://openalex.org/W2588921108"],"abstract_inverted_index":{"X-radiography":[0],"is":[1],"a":[2,16,32,121],"widely":[3],"used":[4],"imaging":[5],"technique":[6],"in":[7,42,54,120,154,177],"art":[8,178],"investigation,":[9],"whether":[10],"to":[11,44,56,95,171],"investigate":[12],"the":[13,37,57,65,71,76,88,100,106,114,126,132,137,144,149,157,164],"condition":[14],"of":[15,39,75,99],"painting":[17],"or":[18],"provide":[19],"insights":[20],"into":[21],"artists'":[22],"techniques":[23],"and":[24,73,111,136,160],"working":[25],"methods.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30],"propose":[31],"new":[33],"architecture":[34,80],"based":[35],"on":[36,141],"use":[38],"`connected'":[40],"auto-encoders":[41,83],"order":[43],"separate":[45],"mixed":[46,58,115,133],"X-ray":[47,59,109,116,134,174],"images":[48,68,90,135,142],"acquired":[49],"from":[50,87,143,148],"double-sided":[51,145],"paintings,":[52],"where":[53],"addition":[55],"image":[60],"one":[61],"can":[62,92],"also":[63],"exploit":[64],"two":[66],"RGB":[67,89,102],"associated":[69,107],"with":[70],"front":[72],"back":[74],"painting.":[77],"This":[78],"proposed":[79,165],"uses":[81],"convolutional":[82],"that":[84,91],"extract":[85],"features":[86],"be":[93],"employed":[94],"(1)":[96],"reproduce":[97],"both":[98,131],"original":[101],"images,":[103,110],"(2)":[104],"reconstruct":[105],"separated":[108,138],"(3)":[112],"regenerate":[113],"image.":[117],"It":[118],"operates":[119],"totally":[122],"self-supervised":[123],"fashion":[124],"without":[125],"need":[127],"for":[128],"examples":[129],"containing":[130],"ones.":[139],"Based":[140],"wing":[146],"panels":[147],"famous":[150],"Ghent":[151],"Altarpiece,":[152],"painted":[153],"1432":[155],"by":[156],"brothers":[158],"Hubert":[159],"Jan":[161],"Van":[162],"Eyck,":[163],"algorithm":[166],"has":[167],"been":[168],"experimentally":[169],"verified":[170],"outperform":[172],"state-of-the-art":[173],"separation":[175],"methods":[176],"investigation":[179],"applications.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
