{"id":"https://openalex.org/W4392903129","doi":"https://doi.org/10.1109/icassp48485.2024.10446674","title":"DURRNET: Deep Unfolded Single Image Reflection Removal Network with Joint Prior","display_name":"DURRNET: Deep Unfolded Single Image Reflection Removal Network with Joint Prior","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903129","doi":"https://doi.org/10.1109/icassp48485.2024.10446674"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 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/A5037501616","display_name":"Junjie Huang","orcid":"https://orcid.org/0000-0003-2986-4665"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun-Jie Huang","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,China","College of Computer Science and Technology, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102949546","display_name":"Tianrui Liu","orcid":"https://orcid.org/0000-0001-7926-3310"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianrui Liu","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,China","College of Computer Science and Technology, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078507701","display_name":"Jingyuan Xia","orcid":"https://orcid.org/0000-0003-4329-0354"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyuan Xia","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,China","College of Computer Science and Technology, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Hefei University of Technology,School of Computer Science and Information Engineering,China","School of Computer Science and Information Engineering, Hefei University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,School of Computer Science and Information Engineering,China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053203917","display_name":"Pier Luigi Dragotti","orcid":"https://orcid.org/0000-0002-6073-2807"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pier Luigi Dragotti","raw_affiliation_strings":["Imperial College London,Department of Electrical and Electronic Engineering,UK","Department of Electrical and Electronic Engineering, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Electrical and Electronic Engineering,UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037501616"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.579,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83302608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5235","last_page":"5239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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":0.7194681167602539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6989898085594177},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.6325397491455078},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5268981456756592},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5007038116455078},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.48818284273147583},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.45067858695983887},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42210423946380615},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41415613889694214},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.4141072928905487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3654100298881531},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34687289595603943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34154993295669556},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13033640384674072},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07389006018638611}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7194681167602539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6989898085594177},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.6325397491455078},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5268981456756592},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5007038116455078},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.48818284273147583},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.45067858695983887},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42210423946380615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41415613889694214},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.4141072928905487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3654100298881531},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34687289595603943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34154993295669556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13033640384674072},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07389006018638611},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":26,"referenced_works":["https://openalex.org/W1583912456","https://openalex.org/W1918869474","https://openalex.org/W1980212291","https://openalex.org/W2100556411","https://openalex.org/W2107530646","https://openalex.org/W2122122766","https://openalex.org/W2608451532","https://openalex.org/W2779896560","https://openalex.org/W2798966709","https://openalex.org/W2894734721","https://openalex.org/W2955193736","https://openalex.org/W2963676366","https://openalex.org/W2967060301","https://openalex.org/W2979722847","https://openalex.org/W2982389402","https://openalex.org/W3034647178","https://openalex.org/W3035250394","https://openalex.org/W3107538983","https://openalex.org/W3163128468","https://openalex.org/W3199716252","https://openalex.org/W3207120935","https://openalex.org/W4225992024","https://openalex.org/W4304014851","https://openalex.org/W4382240648","https://openalex.org/W4390873946","https://openalex.org/W6803357646"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W2372403409","https://openalex.org/W3215138031","https://openalex.org/W2371168111"],"abstract_inverted_index":{"Single":[0],"image":[1,127],"reflection":[2,27,138],"removal":[3,28,139],"(SIRR)":[4],"problem":[5,15],"can":[6],"be":[7],"interpreted":[8],"as":[9,129,131],"a":[10,42,68,81,95,132],"canonical":[11],"blind":[12],"source":[13],"separation":[14],"and":[16,25,45,63,71,85],"is":[17,30],"highly":[18],"ill-posed.":[19],"A":[20],"parameter":[21],"effective,":[22],"fast":[23],"learning":[24],"interpretable":[26,70],"algorithm":[29],"essential":[31],"for":[32],"many":[33],"vision":[34],"analysis":[35],"applications.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,78],"propose":[41,80],"novel":[43],"model-inspired":[44],"learning-based":[46,64],"SIRR":[47],"method":[48],"called":[49],"Deep":[50],"Unfolded":[51,96],"Reflection":[52],"Removal":[53],"Network":[54],"(DURRNet).":[55],"It":[56],"combines":[57],"the":[58,110,118,123,137],"merits":[59],"of":[60,107,112,125],"both":[61],"model-based":[62,82],"paradigms,":[65],"leading":[66],"to":[67,116,135],"more":[69],"effective":[72],"deep":[73],"architecture.":[74],"To":[75],"achieve":[76],"this,":[77],"first":[79],"optimization":[83],"approach":[84],"then":[86],"obtain":[87],"DURRNet":[88,148],"by":[89],"unfolding":[90],"an":[91],"iterative":[92],"step":[93],"into":[94],"Separation":[97],"Block":[98],"(USB)":[99],"based":[100],"on":[101,122,143],"proximal":[102],"gradient":[103],"descent.":[104],"Key":[105],"features":[106],"DURR-Net":[108],"include":[109],"use":[111],"Invertible":[113],"Neural":[114],"Networks":[115],"impose":[117],"transform-based":[119],"exclusion":[120],"prior":[121],"basis":[124],"natural":[126],"prior,":[128],"well":[130],"coarse-to-fine":[133],"architecture":[134],"fine-grain":[136],"process.":[140],"Extensive":[141],"experiments":[142],"public":[144],"datasets":[145],"demonstrate":[146],"that":[147],"achieves":[149],"state-of-the-art":[150],"results":[151],"not":[152],"only":[153],"visually,":[154],"quantitatively,":[155],"but":[156],"also":[157],"effectively.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
