{"id":"https://openalex.org/W4372266706","doi":"https://doi.org/10.1109/icassp49357.2023.10095242","title":"Sandformer: CNN and Transformer under Gated Fusion for Sand Dust Image Restoration","display_name":"Sandformer: CNN and Transformer under Gated Fusion for Sand Dust Image Restoration","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372266706","doi":"https://doi.org/10.1109/icassp49357.2023.10095242"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100690274","display_name":"Jun Shi","orcid":"https://orcid.org/0000-0003-2945-7795"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Shi","raw_affiliation_strings":["Xinjiang University,School of Information Science and Engineering","School of Information Science and Engineering, Xinjiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,School of Information Science and Engineering","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xinjiang University","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091095337","display_name":"Bingcai Wei","orcid":"https://orcid.org/0000-0003-4152-4559"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]},{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingcai Wei","raw_affiliation_strings":["Shandong University of Technology,College of Computer Science and Technology","College of Computer Science and Technology, Shandong University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Technology,College of Computer Science and Technology","institution_ids":["https://openalex.org/I119203015","https://openalex.org/I80143920"]},{"raw_affiliation_string":"College of Computer Science and Technology, Shandong University of Technology","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054814122","display_name":"Gang Zhou","orcid":"https://orcid.org/0000-0002-4425-9837"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Zhou","raw_affiliation_strings":["Xinjiang University,School of Information Science and Engineering","School of Information Science and Engineering, Xinjiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,School of Information Science and Engineering","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xinjiang University","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101768114","display_name":"Liye Zhang","orcid":"https://orcid.org/0000-0002-4300-1789"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]},{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liye Zhang","raw_affiliation_strings":["Shandong University of Technology,College of Computer Science and Technology","College of Computer Science and Technology, Shandong University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Technology,College of Computer Science and Technology","institution_ids":["https://openalex.org/I119203015","https://openalex.org/I80143920"]},{"raw_affiliation_string":"College of Computer Science and Technology, Shandong University of Technology","institution_ids":["https://openalex.org/I119203015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9998000264167786,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9983000159263611,"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/transformer","display_name":"Transformer","score":0.710230827331543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6618353724479675},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6306489109992981},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6229717135429382},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6226748824119568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6093734502792358},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45009806752204895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3423786759376526},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30290013551712036},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2351524531841278},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14205753803253174},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.0744147002696991}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.710230827331543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6618353724479675},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6306489109992981},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6229717135429382},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6226748824119568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6093734502792358},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45009806752204895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3423786759376526},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30290013551712036},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2351524531841278},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14205753803253174},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0744147002696991},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 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":0.7099999785423279,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"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":26,"referenced_works":["https://openalex.org/W2012579661","https://openalex.org/W2121880036","https://openalex.org/W2128254161","https://openalex.org/W2194775991","https://openalex.org/W2479624540","https://openalex.org/W2739097844","https://openalex.org/W2752782242","https://openalex.org/W2794405642","https://openalex.org/W2963780738","https://openalex.org/W2969988906","https://openalex.org/W2970000210","https://openalex.org/W3034278302","https://openalex.org/W3094502228","https://openalex.org/W3170874841","https://openalex.org/W3173269149","https://openalex.org/W3177127346","https://openalex.org/W3215632849","https://openalex.org/W4221138646","https://openalex.org/W4225672218","https://openalex.org/W4327808545","https://openalex.org/W4403214904","https://openalex.org/W6741559387","https://openalex.org/W6784333009","https://openalex.org/W6788135285","https://openalex.org/W6804313445","https://openalex.org/W6810083443"],"related_works":["https://openalex.org/W1556451512","https://openalex.org/W1555349535","https://openalex.org/W4234091740","https://openalex.org/W4213350282","https://openalex.org/W2230171082","https://openalex.org/W2583128298","https://openalex.org/W2022275305","https://openalex.org/W4293226380","https://openalex.org/W2365681766","https://openalex.org/W2393963626"],"abstract_inverted_index":{"Although":[0],"Convolutional":[1],"Neural":[2],"Networks":[3],"(CNN)":[4],"have":[5,31],"made":[6],"good":[7],"progress":[8],"in":[9,23,132],"image":[10,24,45,62,91,142],"restoration,":[11],"the":[12,79,95,112],"intrinsic":[13],"equivalence":[14],"and":[15,29,71,101,114,134],"locality":[16],"of":[17],"convolutions":[18],"still":[19],"constrain":[20],"further":[21],"improvements":[22,131],"quality.":[25],"Recent":[26],"vision":[27,38],"transformer":[28,76],"selfattention":[30],"achieved":[32],"promising":[33],"results":[34,80],"on":[35],"various":[36],"computer":[37],"tasks.":[39],"However,":[40],"directly":[41],"utilizing":[42],"Transformer":[43,100],"for":[44,60,88],"restoration":[46,63,92,143],"is":[47],"a":[48],"challenging":[49],"task.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"introduce":[55],"an":[56,84],"effective":[57],"hybrid":[58,86],"architecture":[59],"sand":[61,89,141],"tasks,":[64],"which":[65],"leverages":[66],"local":[67],"features":[68,110],"from":[69,111],"CNN":[70],"long-range":[72],"dependencies":[73],"captured":[74],"by":[75,108],"to":[77,93,139],"improve":[78],"further.":[81],"We":[82],"propose":[83],"efficient":[85],"structure":[87],"dust":[90,136],"solve":[94],"feature":[96],"inconsistency":[97],"issue":[98],"between":[99],"CNN.":[102],"The":[103],"framework":[104],"complements":[105],"each":[106],"representation":[107],"modulating":[109],"CNN-based":[113],"Transformer-based":[115],"branches":[116],"rather":[117],"than":[118],"simply":[119],"adding":[120],"or":[121],"concatenating":[122],"features.":[123],"Experiments":[124],"demonstrate":[125],"that":[126],"SandFormer":[127],"achieves":[128],"significant":[129],"performance":[130],"synthetic":[133],"real":[135],"scenes":[137],"compared":[138],"previous":[140],"methods.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
