{"id":"https://openalex.org/W4408354150","doi":"https://doi.org/10.1109/icassp49660.2025.10888075","title":"Segmentation-Guided Sparse Transformer for Under-Display Camera Image Restoration","display_name":"Segmentation-Guided Sparse Transformer for Under-Display Camera Image Restoration","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354150","doi":"https://doi.org/10.1109/icassp49660.2025.10888075"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 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/A5034346187","display_name":"Jingyun Xue","orcid":"https://orcid.org/0000-0001-6501-4735"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyun Xue","raw_affiliation_strings":["Sun Yat-sen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453453","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-0202-0174"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["Nanjing University,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070078619","display_name":"Pengwen Dai","orcid":"https://orcid.org/0000-0002-6262-982X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengwen Dai","raw_affiliation_strings":["Sun Yat-sen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069604707","display_name":"Kaihao Zhang","orcid":"https://orcid.org/0000-0003-4804-3715"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaihao Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]}]}],"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":2,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14158","display_name":"Optical Systems and Laser Technology","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7077673673629761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6647834777832031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6600521206855774},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5697671175003052},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5660590529441833},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5506335496902466},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.40337496995925903},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29767826199531555},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26393869519233704},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14377135038375854},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.06496062874794006},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.059427469968795776}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7077673673629761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6647834777832031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600521206855774},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5697671175003052},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5660590529441833},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5506335496902466},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.40337496995925903},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29767826199531555},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26393869519233704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14377135038375854},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.06496062874794006},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.059427469968795776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 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","id":"https://metadata.un.org/sdg/11","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335581","display_name":"Young Scientists Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2501590399","https://openalex.org/W2950689937","https://openalex.org/W2962785568","https://openalex.org/W3017136408","https://openalex.org/W3098105350","https://openalex.org/W3127055301","https://openalex.org/W3127586294","https://openalex.org/W3128106819","https://openalex.org/W3128392297","https://openalex.org/W3130764083","https://openalex.org/W3159041370","https://openalex.org/W3162784696","https://openalex.org/W3171125843","https://openalex.org/W3175361891","https://openalex.org/W3177152970","https://openalex.org/W3181566645","https://openalex.org/W4225672218","https://openalex.org/W4312654281","https://openalex.org/W4312678820","https://openalex.org/W4312812783","https://openalex.org/W4319300236","https://openalex.org/W4321231503","https://openalex.org/W4321231541","https://openalex.org/W4386075800","https://openalex.org/W4386075871","https://openalex.org/W4386290985","https://openalex.org/W4389252703","https://openalex.org/W4390871766","https://openalex.org/W4390872931","https://openalex.org/W4390874575","https://openalex.org/W4403791041","https://openalex.org/W6772230799","https://openalex.org/W6802697791","https://openalex.org/W6803845004","https://openalex.org/W6845283504"],"related_works":["https://openalex.org/W2357322570","https://openalex.org/W2997591215","https://openalex.org/W2227541280","https://openalex.org/W4379231730","https://openalex.org/W2029783634","https://openalex.org/W4389858081","https://openalex.org/W2979181971","https://openalex.org/W2888591766","https://openalex.org/W1598401975","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Under-display":[0],"Camera":[1],"is":[2],"an":[3,107],"emerging":[4],"technology":[5],"for":[6,28,66],"full-screen":[7],"display":[8],"with":[9,52],"a":[10,60],"camera":[11,29],"under":[12],"the":[13,16,38,86,92,97,123,129,136],"display.":[14,39],"However,":[15],"current":[17],"implementation":[18],"of":[19,102,132],"UDC":[20,41,70],"causes":[21],"serious":[22],"image":[23,42],"degradation.":[24],"Incident":[25],"light":[26],"required":[27],"imaging":[30],"undergoes":[31],"attenuation":[32],"and":[33,83,120],"diffraction":[34],"when":[35],"passing":[36],"through":[37],"Current":[40],"restoration":[43],"methods":[44,51],"predominantly":[45],"utilize":[46,75],"convolutional":[47],"networks,":[48],"whereas":[49],"transformer-based":[50],"superior":[53,130],"performance":[54,131],"are":[55],"lacking.":[56],"This":[57],"paper":[58],"proposes":[59],"Segmentation-Guided":[61],"Sparse":[62],"Transformer":[63],"method":[64],"(SGSFormer)":[65],"restoring":[67],"images":[68],"from":[69],"degraded":[71,98],"images.":[72],"Specifically,":[73],"we":[74,105],"sparse":[76,116],"self-attention":[77,117],"to":[78,89,96,114],"filter":[79],"out":[80],"redundant":[81],"information":[82,113],"noise,":[84],"directing":[85],"model\u2019s":[87],"attention":[88],"focus":[90],"on":[91,122],"features":[93],"more":[94],"relevant":[95],"regions":[99],"in":[100,118],"need":[101],"reconstruction.":[103],"Moreover,":[104],"integrate":[106],"instance":[108],"segmentation":[109],"map":[110],"as":[111],"prior":[112],"guide":[115],"filtering":[119],"focusing":[121],"correct":[124],"regions.":[125],"Extensive":[126],"experiments":[127],"exhibit":[128],"our":[133],"model":[134],"over":[135],"state-of-the-art":[137],"methods.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}