{"id":"https://openalex.org/W4387968616","doi":"https://doi.org/10.1145/3581783.3612353","title":"Separable Modulation Network for Efficient Image Super-Resolution","display_name":"Separable Modulation Network for Efficient Image Super-Resolution","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968616","doi":"https://doi.org/10.1145/3581783.3612353"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5042499646","display_name":"Zhijian Wu","orcid":"https://orcid.org/0000-0002-3040-3287"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhijian Wu","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088380345","display_name":"Jun Li","orcid":"https://orcid.org/0000-0002-9781-8954"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101940253","display_name":"Dingjiang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingjiang Huang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042499646"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.596,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69735486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"8086","last_page":"8094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9970999956130981,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9936000108718872,"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-science","display_name":"Computer science","score":0.6759440302848816},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6127071380615234},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5962650775909424},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.5285296440124512},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5265876650810242},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.511616051197052},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4621065557003021},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46143126487731934},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4548736810684204},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.4386083781719208},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43599933385849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39752084016799927},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36635082960128784},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14332100749015808},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11857959628105164},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10796371102333069},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07718980312347412},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07120111584663391}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6759440302848816},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6127071380615234},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5962650775909424},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.5285296440124512},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5265876650810242},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.511616051197052},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4621065557003021},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46143126487731934},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4548736810684204},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.4386083781719208},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43599933385849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39752084016799927},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36635082960128784},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14332100749015808},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11857959628105164},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10796371102333069},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07718980312347412},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07120111584663391},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2428490243","display_name":null,"funder_award_id":"U1711262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3795889338","display_name":null,"funder_award_id":"U1711","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G421016675","display_name":null,"funder_award_id":"61703096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4432465438","display_name":null,"funder_award_id":"62173186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7097703722","display_name":null,"funder_award_id":"U171126","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G832669383","display_name":null,"funder_award_id":"62072185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":36,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2192954843","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2795024892","https://openalex.org/W2866634454","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2964101377","https://openalex.org/W2964277374","https://openalex.org/W2976718572","https://openalex.org/W2987150909","https://openalex.org/W3013529009","https://openalex.org/W3035280441","https://openalex.org/W3101659800","https://openalex.org/W3102020262","https://openalex.org/W3107716502","https://openalex.org/W3133531783","https://openalex.org/W3133953507","https://openalex.org/W3138516171","https://openalex.org/W3163767593","https://openalex.org/W3164705069","https://openalex.org/W3170026688","https://openalex.org/W3171125843","https://openalex.org/W3174531399","https://openalex.org/W3174865552","https://openalex.org/W4213019189","https://openalex.org/W4385346076","https://openalex.org/W6600020421","https://openalex.org/W6635231071","https://openalex.org/W6677973867","https://openalex.org/W6717243457"],"related_works":["https://openalex.org/W1556451512","https://openalex.org/W1555349535","https://openalex.org/W2009525028","https://openalex.org/W4234091740","https://openalex.org/W4321064619","https://openalex.org/W4213350282","https://openalex.org/W2230171082","https://openalex.org/W2583128298","https://openalex.org/W2022275305","https://openalex.org/W2369125128"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"models":[2,21],"have":[3],"demonstrated":[4],"unprecedented":[5],"success":[6],"in":[7],"image":[8,44,129,151],"super-resolution":[9],"(SR)":[10],"tasks.":[11],"However,":[12],"more":[13,127],"attention":[14],"has":[15],"been":[16],"paid":[17],"to":[18,24,124],"lightweight":[19],"SR":[20,167],"lately,":[22],"due":[23],"the":[25,50,53,59,72,83,104,108,114,122,164],"increasing":[26],"demand":[27],"for":[28,42,149],"on-device":[29],"inference.":[30],"In":[31,117],"this":[32],"paper,":[33],"we":[34],"propose":[35],"a":[36],"novel":[37],"Separable":[38,54],"Modulation":[39,55],"Network":[40,62],"(SMN)":[41],"efficient":[43,166],"SR.":[45],"The":[46],"key":[47],"parts":[48],"of":[49],"SMN":[51,141,159],"are":[52,111],"Unit":[56],"(SMU)":[57],"and":[58,95,146],"Locality":[60],"Self-enhanced":[61],"(LSN).":[63],"SMU":[64],"enables":[65],"global":[66,91,100],"relational":[67],"interactions":[68],"but":[69],"significantly":[70],"eases":[71],"process":[73],"by":[74,131],"separating":[75],"spatial":[76,88],"modulation":[77,89],"from":[78,93],"channel":[79,96,105],"aggregation,":[80],"hence":[81],"making":[82],"long-range":[84,147],"interaction":[85],"efficient.":[86],"Specifically,":[87],"extracts":[90],"contexts":[92,110,148],"spatial,":[94],"aggregation":[97],"condenses":[98],"all":[99],"context":[101],"features":[102],"into":[103,113],"modulator,":[106],"ultimately":[107],"aggregated":[109],"fused":[112],"final":[115],"features.":[116],"addition,":[118],"LSN":[119],"allows":[120],"guiding":[121],"network":[123],"focus":[125],"on":[126],"refined":[128],"attributes":[130],"encoding":[132],"local":[133],"contextual":[134],"information.":[135],"By":[136],"coupling":[137],"two":[138],"complementary":[139],"components,":[140],"can":[142],"capture":[143],"both":[144],"short-":[145],"accurate":[150],"reconstruction.":[152],"Extensive":[153],"experimental":[154],"results":[155],"demonstrate":[156],"that":[157],"our":[158],"achieves":[160],"state-of-the-art":[161],"performance":[162],"among":[163],"existing":[165],"methods":[168],"with":[169],"less":[170],"complexity.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
