{"id":"https://openalex.org/W4394741564","doi":"https://doi.org/10.1145/3647750.3647772","title":"Stereo Network for Blind Image Super-Resolution","display_name":"Stereo Network for Blind Image Super-Resolution","publication_year":2024,"publication_date":"2024-01-26","ids":{"openalex":"https://openalex.org/W4394741564","doi":"https://doi.org/10.1145/3647750.3647772"},"language":"en","primary_location":{"id":"doi:10.1145/3647750.3647772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647750.3647772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 The 8th International Conference on Machine Learning and Soft Computing","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/A5095376351","display_name":"Guangyi Ji","orcid":"https://orcid.org/0009-0005-1308-8413"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangyi Ji","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Guangzhou University, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101435943","display_name":"Xiao Hu","orcid":"https://orcid.org/0000-0002-0251-828X"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Hu","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Guangzhou University, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5095376351"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03944525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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":0.9988999962806702,"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":0.7888621091842651},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6928926706314087},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6387642025947571},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6370213031768799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6346704959869385},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5552882552146912},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5075070261955261},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5070409774780273},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49771788716316223},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48205217719078064},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.45317983627319336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43659037351608276},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4231942594051361},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08834365010261536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7888621091842651},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6928926706314087},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6387642025947571},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6370213031768799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6346704959869385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5552882552146912},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5075070261955261},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5070409774780273},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49771788716316223},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48205217719078064},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.45317983627319336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43659037351608276},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4231942594051361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08834365010261536},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647750.3647772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647750.3647772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 The 8th International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5732342111","display_name":null,"funder_award_id":"No.62076075","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1507081683","https://openalex.org/W1676314349","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W1946853620","https://openalex.org/W2042718506","https://openalex.org/W2047920195","https://openalex.org/W2090863578","https://openalex.org/W2121927366","https://openalex.org/W2192954843","https://openalex.org/W2331128040","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2970778968","https://openalex.org/W3101659800","https://openalex.org/W3134608633","https://openalex.org/W3176334871","https://openalex.org/W3181848549","https://openalex.org/W3202277597","https://openalex.org/W3203631022","https://openalex.org/W3204971388","https://openalex.org/W4212774754","https://openalex.org/W4231167724","https://openalex.org/W4309872131","https://openalex.org/W4312509301","https://openalex.org/W6604233986","https://openalex.org/W6635200655","https://openalex.org/W6673011154","https://openalex.org/W6675831487","https://openalex.org/W6716109767"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"Single":[0],"image":[1,80],"super-resolution":[2],"method":[3],"using":[4],"neural":[5,66,184],"networks":[6,185],"has":[7],"achieved":[8],"remarkable":[9],"strides.":[10],"However,":[11],"most":[12],"existing":[13],"works":[14],"rely":[15],"on":[16,164],"the":[17,28,54,65,83,112,168,171,178],"architecture":[18],"of":[19,30,43,48,68,86,170,182],"Convolutional":[20],"Neural":[21,73],"Networks":[22],"(CNNs)":[23],"with":[24,117,123],"shared":[25,124],"kernel":[26],"and":[27,50,106,120,133,138,180],"increasing":[29],"vertical":[31],"depth,":[32],"as":[33],"result,":[34],"super-image":[35],"would":[36],"loss":[37],"high-frequency":[38,107],"information.":[39,109],"In":[40],"every":[41],"layer":[42,56],"human":[44,69],"retina":[45],"exists":[46],"huge":[47],"neurons":[49,52],"some":[51],"in":[53,127,142,157],"same":[55],"connect":[57,126],"each":[58],"other":[59],"by":[60,64],"horizontal":[61],"neurons.":[62],"Inspired":[63],"network":[67,113],"retina,":[70],"a":[71,146,160],"Stereo":[72,147],"Network":[74],"(SterNet)":[75],"is":[76,98,186],"designed":[77],"for":[78,188],"blind":[79],"super-resolution.":[81],"As":[82],"basic":[84],"block":[85],"SterNet,":[87],"Dynamic":[88,131],"Filter":[89,132],"Block":[90,150],"(DFB)":[91],"performs":[92],"through":[93],"unshared":[94,118],"kernel,":[95],"hence":[96],"SterNet":[97],"able":[99],"to":[100,129,144],"easily":[101],"obtain":[102],"more":[103],"spatial":[104],"features":[105],"semantic":[108],"To":[110],"expand":[111],"width,":[114],"one":[115,121],"DFB":[116],"kernels":[119,125],"RRDB":[122],"parallel":[128,143],"construct":[130],"Rense":[134],"Residual":[135],"Blocks":[136],"(DFDRB)":[137],"two":[139],"DFDRBs":[140],"are":[141,156],"form":[145],"feature":[148],"extraction":[149],"(SterB).":[151],"At":[152],"last,":[153],"several":[154,165],"SterBs":[155],"series":[158],"into":[159],"SterNet.":[161],"Extensive":[162],"experiments":[163],"benchmarks":[166],"show":[167],"effectiveness":[169],"proposed":[172],"method.":[173],"This":[174],"indicates":[175],"that":[176],"simulating":[177],"structure":[179],"operation":[181],"real":[183],"beneficial":[187],"improving":[189],"vision":[190],"application":[191],"system.":[192]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
