{"id":"https://openalex.org/W4301496183","doi":"https://doi.org/10.1109/icme52920.2022.9860021","title":"Cycleiqa: Blind Image Quality Assessment Via Cycle-Consistent Adversarial Networks","display_name":"Cycleiqa: Blind Image Quality Assessment Via Cycle-Consistent Adversarial Networks","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4301496183","doi":"https://doi.org/10.1109/icme52920.2022.9860021"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9860021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9860021","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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/A5102936248","display_name":"Peiyun Zhang","orcid":"https://orcid.org/0000-0002-4864-6279"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiyun Zhang","raw_affiliation_strings":["Nanjing University of Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001179458","display_name":"Xiao Shao","orcid":"https://orcid.org/0000-0003-1194-240X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Shao","raw_affiliation_strings":["Nanjing University of Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100672514","display_name":"Zihan Li","orcid":"https://orcid.org/0009-0004-3839-0611"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Li","raw_affiliation_strings":["Nanjing University of Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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":0.9882000088691711,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.98580002784729,"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/distortion","display_name":"Distortion (music)","score":0.81117182970047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7579810619354248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6689609289169312},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6592560410499573},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6417096257209778},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.5427312254905701},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5339910387992859},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5315197706222534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48779040575027466},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.469904363155365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4686388671398163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4489084780216217},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41687825322151184},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37710869312286377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36862874031066895},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07364550232887268}],"concepts":[{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.81117182970047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579810619354248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6689609289169312},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6592560410499573},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6417096257209778},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.5427312254905701},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5339910387992859},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5315197706222534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48779040575027466},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.469904363155365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4686388671398163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4489084780216217},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41687825322151184},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37710869312286377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36862874031066895},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07364550232887268},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9860021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9860021","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1974013408","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W2129644086","https://openalex.org/W2148848374","https://openalex.org/W2161907179","https://openalex.org/W2171349048","https://openalex.org/W2473697052","https://openalex.org/W2560533888","https://openalex.org/W2768340063","https://openalex.org/W2903193781","https://openalex.org/W2963596827","https://openalex.org/W2964065910","https://openalex.org/W3035484352","https://openalex.org/W3036239693","https://openalex.org/W3100404621","https://openalex.org/W4212991200","https://openalex.org/W6785242917"],"related_works":["https://openalex.org/W3194862240","https://openalex.org/W2526960468","https://openalex.org/W4206325381","https://openalex.org/W2295706819","https://openalex.org/W2161907179","https://openalex.org/W2043597472","https://openalex.org/W54224318","https://openalex.org/W2552902349","https://openalex.org/W2896263975","https://openalex.org/W2061912243"],"abstract_inverted_index":{"Existing":[0],"blind":[1],"image":[2,57],"quality":[3,19,52,67,72,77,99,110,120,136],"assessment":[4],"(BIQA)":[5],"methods":[6],"aim":[7],"to":[8,17,34,49,82,90,113],"extract":[9],"distortion":[10,36,87],"features":[11,107,118],"by":[12,56],"training":[13],"deep":[14],"learning":[15],"models":[16],"predict":[18],"scores.":[20,121],"However,":[21],"images":[22,91],"suffer":[23],"from":[24,108],"various":[25],"distortions.":[26,58],"Training":[27],"a":[28,45,62,71],"single":[29],"model":[30,50],"is":[31,80],"typically":[32],"hard":[33],"handle":[35],"variation":[37],"problems.":[38],"To":[39],"solve":[40],"the":[41,51,84,103,109,115,131],"problem,":[42],"we":[43],"propose":[44],"novel":[46],"BIQA":[47],"method":[48,133],"degradation":[53],"process":[54,85],"caused":[55],"It":[59],"consists":[60],"of":[61,86],"generative":[63],"adversarial":[64],"network":[65,69,79,101,112],"(GAN)-based":[66],"perception":[68,78,111],"and":[70,95,119],"regression":[73,100],"network.":[74],"The":[75,98],"GAN-based":[76],"designed":[81],"simulate":[83],"information":[88],"introduced":[89],"in":[92],"both":[93],"forward":[94],"reverse":[96],"directions.":[97],"extracts":[102],"learned":[104],"hierarchical":[105],"restoration":[106],"learn":[114],"relationship":[116],"between":[117],"Experimental":[122],"results":[123],"on":[124],"four":[125],"representation":[126],"IQA":[127],"datasets":[128],"show":[129],"that":[130],"proposed":[132],"achieves":[134],"comparable":[135],"prediction":[137],"performance":[138],"with":[139],"other":[140],"state-of-the-art":[141],"methods.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
