{"id":"https://openalex.org/W2903216657","doi":"https://doi.org/10.1109/icpr.2018.8546010","title":"Deep Pixel Probabilistic Model for Super Resolution Based on Human Visual Saliency Mechanism","display_name":"Deep Pixel Probabilistic Model for Super Resolution Based on Human Visual Saliency Mechanism","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2903216657","doi":"https://doi.org/10.1109/icpr.2018.8546010","mag":"2903216657"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546010","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5070267591","display_name":"Hongxia Gao","orcid":"https://orcid.org/0000-0002-3147-1169"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxia Gao","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005934031","display_name":"Zhanhong Chen","orcid":"https://orcid.org/0000-0002-0964-8204"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanhong Chen","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048720093","display_name":"Ge Ma","orcid":"https://orcid.org/0000-0002-6025-864X"},"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":"Ge Ma","raw_affiliation_strings":["School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100877403","display_name":"Wang Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Xie","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071627941","display_name":"Zhifu Li","orcid":"https://orcid.org/0000-0002-0382-7180"},"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":"Zhifu Li","raw_affiliation_strings":["School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institution_assertions":[],"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":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":62},"biblio":{"volume":null,"issue":null,"first_page":"2747","last_page":"2752"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998,"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":0.9998,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9966,"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":0.9961,"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/interpolation","display_name":"Interpolation","score":0.5131136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8228359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.70715237},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.65061533},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6417671},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5352711},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.53219837},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5131136},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4681072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.444067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43299386},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2869205},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26889008}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546010","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":34,"referenced_works":["https://openalex.org/W1746819321","https://openalex.org/W1782590233","https://openalex.org/W1885185971","https://openalex.org/W1973788353","https://openalex.org/W2064675550","https://openalex.org/W2098295746","https://openalex.org/W2098506229","https://openalex.org/W2099201756","https://openalex.org/W2099471712","https://openalex.org/W2113888444","https://openalex.org/W2121058967","https://openalex.org/W2128272608","https://openalex.org/W2131241448","https://openalex.org/W2132083787","https://openalex.org/W2142841657","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2288514685","https://openalex.org/W2423557781","https://openalex.org/W2476548250","https://openalex.org/W2554314924","https://openalex.org/W2951665052","https://openalex.org/W2953318193","https://openalex.org/W2963470893","https://openalex.org/W2963636093","https://openalex.org/W2963828885","https://openalex.org/W3124229194","https://openalex.org/W4211049957","https://openalex.org/W4293320219","https://openalex.org/W4320013936","https://openalex.org/W73451204","https://openalex.org/W935139217","https://openalex.org/W9848975"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2729981612","https://openalex.org/W2560215812","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2171299904","https://openalex.org/W2085033728","https://openalex.org/W1998512593"],"abstract_inverted_index":{"This":[0],"work":[1],"explores":[2],"super":[3],"resolution":[4,40],"(SR)":[5],"with":[6,150],"a":[7,12,48,53,56,122,136],"deep":[8,49,169],"network":[9,58],"based":[10],"on":[11],"pixel":[13,69,104],"probabilistic":[14,105],"model,":[15],"where":[16],"particular":[17],"small":[18],"inputs":[19],"and":[20,55,71,94,175],"large":[21,31],"magnification":[22],"factors":[23],"make":[24],"the":[25,64,68,75,103,110,115,129,151,158],"problem":[26],"highly":[27],"underspecified":[28],"since":[29],"fairly":[30],"amounts":[32],"of":[33,52,67,78,132],"high-frequency":[34],"details":[35,174],"are":[36],"missing":[37],"in":[38,60,91,97,178],"low":[39],"(LR)":[41],"source.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46,120],"develop":[47],"architecture":[50],"comprising":[51],"PixelCNN":[54,62],"residual":[57],"(ResNet),":[59],"which":[61],"predicts":[63],"serial":[65],"dependencies":[66],"sequence":[70],"ResNet":[72],"for":[73],"capturing":[74],"global":[76],"structure":[77],"LR":[79],"input.":[80],"A":[81],"human":[82,152],"visual":[83,117,153,179],"saliency":[84],"mechanism":[85],"(HVSM)":[86],"by":[87],"employing":[88],"accurate":[89],"SR":[90],"salient":[92],"regions":[93,99],"fast":[95],"interpolation":[96],"nonsalient":[98],"is":[100,145],"integrated":[101],"within":[102],"model":[106],"to":[107,126,148],"efficiently":[108],"reduce":[109],"computational":[111],"complexity":[112],"while":[113],"maintaining":[114],"desired":[116],"quality.":[118,180],"Additionally,":[119],"present":[121],"Bayesian":[123],"optimization":[124],"technique":[125],"automatically":[127],"determine":[128],"optimal":[130],"weight":[131],"loss":[133],"function.":[134],"Furthermore,":[135],"modified":[137],"image":[138],"quality":[139],"assessment":[140],"taking":[141],"into":[142],"account":[143],"HVSM":[144],"introduced,":[146],"trying":[147],"align":[149],"perception.":[154],"Experiments":[155],"demonstrate":[156],"that":[157],"proposed":[159],"algorithm":[160],"could":[161],"generate":[162],"more":[163],"plausible":[164],"facial":[165],"features":[166],"than":[167],"previous":[168],"learning":[170],"methods,":[171],"offering":[172],"finer":[173],"significant":[176],"improvement":[177]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2903216657","counts_by_year":[],"updated_date":"2024-12-09T21:22:16.848165","created_date":"2018-12-11"}