{"id":"https://openalex.org/W3015340194","doi":"https://doi.org/10.1109/icassp40776.2020.9053516","title":"Low Complexity Single Image Super-Resolution with Channel Splitting and Fusion Network","display_name":"Low Complexity Single Image Super-Resolution with Channel Splitting and Fusion Network","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015340194","doi":"https://doi.org/10.1109/icassp40776.2020.9053516","mag":"3015340194"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 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/A5014263518","display_name":"Minqiang Zou","orcid":null},"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":true,"raw_author_name":"Minqiang Zou","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089631680","display_name":"Jie Tang","orcid":"https://orcid.org/0000-0003-0619-0338"},"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":"Jie Tang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101546753","display_name":"Gangshan Wu","orcid":"https://orcid.org/0000-0003-1391-1762"},"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":"Gangshan Wu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014263518"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.3908,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60272568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2398","last_page":"2402"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9979000091552734,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996399998664856,"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":0.7172479033470154},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6964563131332397},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6634366512298584},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6174696087837219},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.614822506904602},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5398809909820557},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5326708555221558},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5069801807403564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4666825234889984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.463374525308609},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.44042015075683594},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27513372898101807},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06330746412277222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172479033470154},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6964563131332397},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6634366512298584},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6174696087837219},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.614822506904602},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5398809909820557},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5326708555221558},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5069801807403564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4666825234889984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.463374525308609},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.44042015075683594},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27513372898101807},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06330746412277222},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1109/icassp40776.2020.9053516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1989704934","https://openalex.org/W2081385919","https://openalex.org/W2097074225","https://openalex.org/W2121058967","https://openalex.org/W2131349449","https://openalex.org/W2170965888","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2780544323","https://openalex.org/W2795024892","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2913541967","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963610452","https://openalex.org/W2963645458","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2986556233","https://openalex.org/W6724673846","https://openalex.org/W6749061506","https://openalex.org/W6753074096","https://openalex.org/W6754405603","https://openalex.org/W6759278257"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W4293226380","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Recently,":[0],"deep":[1,22],"convolutional":[2,25],"neural":[3],"networks":[4],"(CNNs)":[5],"have":[6],"made":[7],"remarkable":[8],"progress":[9],"on":[10,61],"single":[11],"image":[12],"super-resolution":[13],"(SISR).":[14],"However,":[15],"many":[16],"of":[17,44,88],"these":[18],"methods":[19],"use":[20,87],"very":[21],"or":[23],"wide":[24],"layers":[26],"to":[27,47,68,80,103],"achieve":[28,136],"good":[29],"performance,":[30],"which":[31],"treat":[32],"all":[33],"feature":[34,82],"channels":[35],"indiscriminately":[36],"and":[37,64,77,84,91,97,116,122],"neglect":[38],"the":[39,42,48],"difference":[40],"among":[41],"contribution":[43],"each":[45],"channel":[46,62,75,78,95],"output":[49],"results.":[50],"In":[51],"this":[52,70],"paper,":[53],"we":[54,119],"propose":[55],"a":[56],"low":[57,140],"complexity":[58,142],"solution":[59],"based":[60],"splitting":[63,76,96],"fusion":[65,79,98],"network":[66],"(CSFN)":[67],"address":[69],"problem.":[71],"Our":[72],"method":[73],"uses":[74],"enhance":[81],"maps":[83],"make":[85],"full":[86],"valuable":[89],"information,":[90],"then":[92],"multiple":[93],"residual":[94],"blocks":[99],"(CSFB)":[100],"are":[101],"cascaded":[102],"continuously":[104],"extract":[105],"more":[106],"important":[107],"information":[108],"for":[109],"reconstruction.":[110],"To":[111],"further":[112],"minimize":[113],"redundant":[114],"parameters":[115],"improve":[117],"efficiency,":[118],"adopt":[120],"group":[121],"recursive":[123],"con-volutional":[124],"layer":[125],"strategy":[126],"in":[127],"CSFB.":[128],"Experiments":[129],"demonstrate":[130],"that":[131],"our":[132],"proposed":[133],"CSFN":[134],"could":[135],"higher":[137],"performance":[138],"with":[139],"computational":[141],"than":[143],"most":[144],"state-of-the-art":[145],"methods.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}