{"id":"https://openalex.org/W4416250497","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227822","title":"Expanding the View: A Frequency-Aware Network with Large Receptive Field for Super-Resolution","display_name":"Expanding the View: A Frequency-Aware Network with Large Receptive Field for Super-Resolution","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250497","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227822"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5115695210","display_name":"Dongliang Wang","orcid":"https://orcid.org/0009-0007-1947-1354"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4391767763","display_name":"State Key Laboratory of Information Photonics and Optical Communications","ror":"https://ror.org/02v9wg343","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4391767763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongliang Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Information Photonics and Optical Communications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Information Photonics and Optical Communications,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4391767763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034172202","display_name":"Binbin Yan","orcid":"https://orcid.org/0000-0002-8951-431X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4391767763","display_name":"State Key Laboratory of Information Photonics and Optical Communications","ror":"https://ror.org/02v9wg343","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4391767763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Yan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Information Photonics and Optical Communications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Information Photonics and Optical Communications,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4391767763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103184354","display_name":"Ziyi Huang","orcid":"https://orcid.org/0009-0002-3073-9482"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4391767763","display_name":"State Key Laboratory of Information Photonics and Optical Communications","ror":"https://ror.org/02v9wg343","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4391767763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi Huang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Information Photonics and Optical Communications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Information Photonics and Optical Communications,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4391767763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101877207","display_name":"Lu Yang","orcid":"https://orcid.org/0000-0001-6745-2261"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4391767763","display_name":"State Key Laboratory of Information Photonics and Optical Communications","ror":"https://ror.org/02v9wg343","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4391767763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Information Photonics and Optical Communications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Information Photonics and Optical Communications,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4391767763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013781573","display_name":"Shuo Chen","orcid":"https://orcid.org/0000-0001-8466-2148"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4391767763","display_name":"State Key Laboratory of Information Photonics and Optical Communications","ror":"https://ror.org/02v9wg343","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4391767763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Information Photonics and Optical Communications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Information Photonics and Optical Communications,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4391767763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39259655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9686999917030334,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9686999917030334,"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":0.012299999594688416,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.0038999998942017555,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/block","display_name":"Block (permutation group theory)","score":0.6075000166893005},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6054999828338623},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5720999836921692},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5716000199317932},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5609999895095825},{"id":"https://openalex.org/keywords/receptive-field","display_name":"Receptive field","score":0.5231000185012817},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.46160000562667847},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41019999980926514},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.40139999985694885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7695000171661377},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6075000166893005},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6054999828338623},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5720999836921692},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5716000199317932},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5609999895095825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.550000011920929},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.5231000185012817},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.46160000562667847},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4320000112056732},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36070001125335693},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2912999987602234},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C123138037","wikidata":"https://www.wikidata.org/wiki/Q5570871","display_name":"Global network","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2192954843","https://openalex.org/W2242218935","https://openalex.org/W2503339013","https://openalex.org/W2741137940","https://openalex.org/W2775714787","https://openalex.org/W2866634454","https://openalex.org/W2963372104","https://openalex.org/W2963645458","https://openalex.org/W2969478700","https://openalex.org/W2976718572","https://openalex.org/W3133953507","https://openalex.org/W3166727904","https://openalex.org/W3170026688","https://openalex.org/W3178925107","https://openalex.org/W3207918547","https://openalex.org/W4206211125","https://openalex.org/W4280491778","https://openalex.org/W4280581786","https://openalex.org/W4284975674","https://openalex.org/W4320901940","https://openalex.org/W4376136728","https://openalex.org/W4385245566","https://openalex.org/W4390872882"],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"numerous":[3],"single":[4],"image":[5,131],"super-resolution":[6],"(SISR)":[7],"networks":[8,26],"have":[9],"been":[10],"proposed.":[11],"However,":[12],"achieving":[13],"higher":[14],"performance":[15,146],"while":[16],"reducing":[17],"computational":[18,149],"costs":[19],"remains":[20],"a":[21,59],"challenge.":[22],"Most":[23],"existing":[24],"SR":[25,51],"operate":[27],"directly":[28],"in":[29,98],"the":[30,34,41,48,70,82,87,99,134],"spatial":[31,44,135],"domain,":[32,89],"where":[33],"receptive":[35],"field":[36],"is":[37,109],"limited":[38],"due":[39],"to":[40,76,81,125,129],"locality":[42],"of":[43,50,86],"convolutions,":[45],"thereby":[46],"restricting":[47],"improvement":[49],"performance.":[52],"To":[53],"address":[54],"these":[55],"issues,":[56],"we":[57],"propose":[58],"lightweight":[60],"Frequency-aware":[61],"Large":[62],"Receptive":[63],"Field":[64],"Network":[65],"(F-LRFNet),":[66],"which":[67],"relies":[68],"on":[69],"Frequency":[71],"Feature":[72],"Attention":[73],"Block":[74],"(FFAB)":[75],"extract":[77],"global":[78,84],"information.":[79],"Due":[80],"natural":[83],"properties":[85],"frequency":[88],"FFAB":[90],"can":[91],"effectively":[92],"capture":[93,130],"long-range":[94,114],"dependencies":[95],"between":[96],"pixels":[97],"image.":[100],"The":[101],"recently":[102],"proposed":[103,142],"selective":[104],"state-space":[105],"model,":[106],"Vision":[107],"Mamba,":[108],"popular":[110],"for":[111],"its":[112,127],"efficient":[113],"sequence":[115],"modeling.":[116],"We":[117],"improve":[118],"and":[119],"integrate":[120],"it":[121],"into":[122],"our":[123,141],"network":[124,143],"enhance":[126],"ability":[128],"information":[132],"from":[133],"domain.":[136],"Extensive":[137],"experiments":[138],"demonstrate":[139],"that":[140],"achieves":[144],"superior":[145],"with":[147],"fewer":[148],"costs.":[150]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-14T00:00:00"}
