{"id":"https://openalex.org/W7127704807","doi":"https://doi.org/10.1109/tip.2026.3659334","title":"Complementary Mixture-of-Experts and Complementary Cross-Attention for Single Image Reflection Separation in the Wild","display_name":"Complementary Mixture-of-Experts and Complementary Cross-Attention for Single Image Reflection Separation in the Wild","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7127704807","doi":"https://doi.org/10.1109/tip.2026.3659334","pmid":"https://pubmed.ncbi.nlm.nih.gov/41637708"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3659334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3659334","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jonghyuk Park","orcid":"https://orcid.org/0009-0008-1034-6968"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jonghyuk Park","raw_affiliation_strings":["Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology, Ulsan, South Korea"],"raw_orcid":"https://orcid.org/0009-0008-1034-6968","affiliations":[{"raw_affiliation_string":"Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology, Ulsan, South Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111625802","display_name":"Jae-Young Sim","orcid":null},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Young Sim","raw_affiliation_strings":["Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology, Ulsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-2636-7444","affiliations":[{"raw_affiliation_string":"Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology, Ulsan, South Korea","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48566637"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11954755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"1607","last_page":"1620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.8396000266075134,"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":0.8396000266075134,"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/T11996","display_name":"Random lasers and scattering media","score":0.030899999663233757,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.027799999341368675,"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/superimposition","display_name":"Superimposition","score":0.7325999736785889},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.6887999773025513},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5916000008583069},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47780001163482666},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.45809999108314514},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.41760000586509705},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4140999913215637},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.40209999680519104}],"concepts":[{"id":"https://openalex.org/C143874112","wikidata":"https://www.wikidata.org/wiki/Q7643452","display_name":"Superimposition","level":2,"score":0.7325999736785889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7016000151634216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6895999908447266},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.6887999773025513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6743999719619751},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5916000008583069},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47780001163482666},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.45809999108314514},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41760000586509705},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4140999913215637},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.40209999680519104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3425999879837036},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.28929999470710754},{"id":"https://openalex.org/C133978748","wikidata":"https://www.wikidata.org/wiki/Q15955882","display_name":"Reflection symmetry","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2026.3659334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3659334","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:41637708","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41637708","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.48014622926712036}],"awards":[{"id":"https://openalex.org/G2745679825","display_name":null,"funder_award_id":"RS-2024-00392536","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1918869474","https://openalex.org/W1980212291","https://openalex.org/W1982471090","https://openalex.org/W1983897339","https://openalex.org/W1988700013","https://openalex.org/W2031489346","https://openalex.org/W2102166818","https://openalex.org/W2107530646","https://openalex.org/W2150884987","https://openalex.org/W2155720888","https://openalex.org/W2166313476","https://openalex.org/W2476548250","https://openalex.org/W2748199361","https://openalex.org/W2779896560","https://openalex.org/W2798966709","https://openalex.org/W2894734721","https://openalex.org/W2905544033","https://openalex.org/W2941471678","https://openalex.org/W2962785568","https://openalex.org/W2963676366","https://openalex.org/W2982389402","https://openalex.org/W2983943451","https://openalex.org/W3000465435","https://openalex.org/W3034647178","https://openalex.org/W3035719652","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3171125843","https://openalex.org/W3172942063","https://openalex.org/W3197274095","https://openalex.org/W3207918547","https://openalex.org/W4214485187","https://openalex.org/W4214745154","https://openalex.org/W4220939733","https://openalex.org/W4224267514","https://openalex.org/W4225576932","https://openalex.org/W4225672218","https://openalex.org/W4241529584","https://openalex.org/W4312812783","https://openalex.org/W4312938066","https://openalex.org/W4382462760","https://openalex.org/W4385245566","https://openalex.org/W4386065769","https://openalex.org/W4386075800","https://openalex.org/W4386083034","https://openalex.org/W4386702713","https://openalex.org/W4390872514","https://openalex.org/W4390873946","https://openalex.org/W4393160139","https://openalex.org/W4402698356","https://openalex.org/W4402727345","https://openalex.org/W4402753863","https://openalex.org/W4404726149","https://openalex.org/W4413145606","https://openalex.org/W4413147433","https://openalex.org/W4413277668","https://openalex.org/W4415178442","https://openalex.org/W4415797599","https://openalex.org/W4417130871"],"related_works":[],"abstract_inverted_index":{"Single":[0],"Image":[1],"Reflection":[2],"Separation":[3],"(SIRS)":[4],"aims":[5],"to":[6,92,106,130,143],"reconstruct":[7],"both":[8,133],"the":[9,58,111,124,158],"transmitted":[10],"and":[11,113,135,167],"reflected":[12],"images":[13,41,52],"from":[14],"a":[15,20,26,65,71,84],"single":[16],"image":[17,93],"that":[18,87,157],"contains":[19],"superimposition":[21],"of":[22,33,76,128],"both,":[23],"captured":[24,56],"through":[25],"glass-like":[27],"reflective":[28],"surface.":[29],"Recent":[30],"learning-based":[31],"methods":[32,165],"SIRS":[34,67],"have":[35],"significantly":[36,161],"improved":[37],"performance":[38],"on":[39,70,96,152],"typical":[40],"with":[42,50],"mild":[43],"reflection":[44,79,99,114],"artifacts;":[45],"however,":[46],"they":[47],"often":[48],"struggle":[49],"diverse":[51,78,153],"containing":[53],"challenging":[54],"reflections":[55],"in":[57,116],"wild.":[59],"In":[60,120],"this":[61],"paper,":[62],"we":[63,82,122],"propose":[64],"universal":[66],"framework":[68],"based":[69,95],"flexible":[72],"dual-stream":[73],"architecture,":[74],"capable":[75],"handling":[77],"artifacts.":[80],"Specifically,":[81],"incorporate":[83],"Mixture-of-Experts":[85],"mechanism":[86,127],"dynamically":[88],"assigns":[89],"specialized":[90],"experts":[91,103],"patches":[94],"spatially":[97],"heterogeneous":[98],"characteristics.":[100],"The":[101],"assigned":[102],"then":[104,140],"cooperate":[105],"extract":[107],"complementary":[108],"features":[109],"between":[110],"transmission":[112],"streams":[115],"an":[117],"adaptive":[118,145],"manner.":[119],"addition,":[121],"leverage":[123],"multi-head":[125],"attention":[126],"Transformers":[129],"simultaneously":[131],"exploit":[132],"high":[134],"low":[136],"cross-correlations,":[137],"which":[138],"are":[139],"complementarily":[141],"used":[142],"facilitate":[144],"inter-stream":[146],"feature":[147],"interactions.":[148],"Experimental":[149],"results":[150],"evaluated":[151],"real-world":[154],"datasets":[155],"demonstrate":[156],"proposed":[159],"method":[160],"outperforms":[162],"existing":[163],"state-of-the-art":[164],"qualitatively":[166],"quantitatively.":[168]},"counts_by_year":[],"updated_date":"2026-02-12T06:13:03.167441","created_date":"2026-02-06T00:00:00"}
