{"id":"https://openalex.org/W4385764107","doi":"https://doi.org/10.24963/ijcai.2023/429","title":"Multi-Modality Deep Network for JPEG Artifacts Reduction","display_name":"Multi-Modality Deep Network for JPEG Artifacts Reduction","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385764107","doi":"https://doi.org/10.24963/ijcai.2023/429"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/429","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/429","pdf_url":"https://www.ijcai.org/proceedings/2023/0429.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0429.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102819669","display_name":"Xuhao Jiang","orcid":"https://orcid.org/0000-0002-4646-5052"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuhao Jiang","raw_affiliation_strings":["Fudan University","School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048621299","display_name":"Weimin Tan","orcid":"https://orcid.org/0000-0001-7677-4772"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Tan","raw_affiliation_strings":["Fudan University","School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059658260","display_name":"Qing Lin","orcid":"https://orcid.org/0000-0002-1346-0167"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Lin","raw_affiliation_strings":["Fudan University","School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101233215","display_name":"Chenxi Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Ma","raw_affiliation_strings":["Fudan University","School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081115024","display_name":"Bo Yan","orcid":"https://orcid.org/0000-0003-0256-9682"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yan","raw_affiliation_strings":["Fudan University","School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048268082","display_name":"Liquan Shen","orcid":"https://orcid.org/0000-0002-2148-6279"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liquan Shen","raw_affiliation_strings":["Shanghai University","School of Communication, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communication, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102819669"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.4553,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63829399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3857","last_page":"3865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983999729156494,"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":0.83839350938797},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7972656488418579},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.7794987559318542},{"id":"https://openalex.org/keywords/deblocking-filter","display_name":"Deblocking filter","score":0.7425237894058228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7349328994750977},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6443254351615906},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6381638646125793},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6315004229545593},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5514699220657349},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5375492572784424},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5152013897895813},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4818233549594879},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.4798300266265869},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4794996380805969},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4604526162147522},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4272816777229309},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34083178639411926},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2746109962463379},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.1956147849559784}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83839350938797},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7972656488418579},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.7794987559318542},{"id":"https://openalex.org/C143184774","wikidata":"https://www.wikidata.org/wiki/Q3020846","display_name":"Deblocking filter","level":2,"score":0.7425237894058228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7349328994750977},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6443254351615906},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6381638646125793},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6315004229545593},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5514699220657349},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5375492572784424},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5152013897895813},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4818233549594879},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.4798300266265869},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4794996380805969},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4604526162147522},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4272816777229309},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34083178639411926},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2746109962463379},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.1956147849559784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/429","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/429","pdf_url":"https://www.ijcai.org/proceedings/2023/0429.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/429","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/429","pdf_url":"https://www.ijcai.org/proceedings/2023/0429.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1553109372","display_name":null,"funder_award_id":"21ZR1406600","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G1738100510","display_name":null,"funder_award_id":"61902076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3448428807","display_name":null,"funder_award_id":"U2001209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5367423100","display_name":null,"funder_award_id":"U2001209, 61902076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385764107.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1797268635","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W2102166818","https://openalex.org/W2131774270","https://openalex.org/W2142683286","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2508457857","https://openalex.org/W2533598788","https://openalex.org/W2798844427","https://openalex.org/W2897840030","https://openalex.org/W2911590151","https://openalex.org/W2919720707","https://openalex.org/W2950217418","https://openalex.org/W2962687329","https://openalex.org/W2962785568","https://openalex.org/W2963372104","https://openalex.org/W2963966654","https://openalex.org/W2964060609","https://openalex.org/W2987869089","https://openalex.org/W3000775737","https://openalex.org/W3002874204","https://openalex.org/W3005680577","https://openalex.org/W3012263291","https://openalex.org/W3014389908","https://openalex.org/W3034520808","https://openalex.org/W3034608283","https://openalex.org/W3035524453","https://openalex.org/W3036682213","https://openalex.org/W3084569227","https://openalex.org/W3091588028","https://openalex.org/W3164815015","https://openalex.org/W3173220247","https://openalex.org/W3175690888","https://openalex.org/W3203852897","https://openalex.org/W3207918547","https://openalex.org/W4214609808","https://openalex.org/W4301206121","https://openalex.org/W4304092436","https://openalex.org/W4312847258","https://openalex.org/W4382776321"],"related_works":["https://openalex.org/W3090149108","https://openalex.org/W1994319845","https://openalex.org/W2100013736","https://openalex.org/W3137515556","https://openalex.org/W1979811710","https://openalex.org/W1990857747","https://openalex.org/W2536414725","https://openalex.org/W2545896937","https://openalex.org/W2111280862","https://openalex.org/W2612631671"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"many":[3],"convolutional":[4],"neural":[5],"network-based":[6],"models":[7],"are":[8,22],"designed":[9],"for":[10,24,61],"JPEG":[11,63],"artifacts":[12,29,64],"reduction,":[13,65],"and":[14,99,106,110],"have":[15],"achieved":[16],"notable":[17],"progress.":[18],"However,":[19],"few":[20],"methods":[21],"suitable":[23],"extreme":[25],"low-bitrate":[26],"image":[27,39,48,93,97],"compression":[28],"reduction.":[30],"The":[31],"main":[32],"challenge":[33],"is":[34],"that":[35,131],"the":[36,68,75,80,104,141],"highly":[37,81],"compressed":[38,82],"loses":[40],"too":[41],"much":[42],"information,":[43],"resulting":[44],"in":[45,66,92],"reconstructing":[46],"high-quality":[47],"difficultly.":[49],"To":[50],"address":[51],"this":[52],"issue,":[53],"we":[54],"propose":[55],"a":[56,112,127],"multimodal":[57],"fusion":[58],"learning":[59,118],"method":[60,133],"text-guided":[62],"which":[67],"corresponding":[69],"text":[70,100],"description":[71],"not":[72],"only":[73],"provides":[74],"potential":[76],"prior":[77],"information":[78,89],"of":[79],"image,":[83],"but":[84],"also":[85],"serves":[86],"as":[87],"supplementary":[88],"to":[90,119,140],"assist":[91],"deblocking.":[94],"We":[95],"fuse":[96],"features":[98,102],"semantic":[101],"from":[103],"global":[105],"local":[107],"perspectives":[108],"respectively,":[109],"design":[111],"contrastive":[113,117],"loss":[114],"built":[115],"upon":[116],"produce":[120],"visually":[121],"pleasing":[122],"results.":[123],"Extensive":[124],"experiments,":[125],"including":[126],"user":[128],"study,":[129],"prove":[130],"our":[132],"can":[134],"obtain":[135],"better":[136],"deblocking":[137],"results":[138],"compared":[139],"state-of-the-art":[142],"methods.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
