{"id":"https://openalex.org/W4402981144","doi":"https://doi.org/10.1109/icme57554.2024.10687998","title":"CGCUT:Unpaired Image-to-Image Translation via Cluster-Guided Contrastive Learning","display_name":"CGCUT:Unpaired Image-to-Image Translation via Cluster-Guided Contrastive Learning","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402981144","doi":"https://doi.org/10.1109/icme57554.2024.10687998"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687998","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5101325348","display_name":"Longjie Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longjie Qi","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688231","display_name":"Yue Ding","orcid":"https://orcid.org/0000-0002-2911-1244"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Ding","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102899381","display_name":"Hongtao Lu","orcid":"https://orcid.org/0000-0003-2300-3039"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Lu","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.4761,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57042983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9128000140190125,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9128000140190125,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7139768600463867},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6319055557250977},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.6209121346473694},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6175801753997803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6147037148475647},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4831904470920563},{"id":"https://openalex.org/keywords/language-translation","display_name":"Language translation","score":0.4493900537490845},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42693185806274414},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.29970675706863403}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139768600463867},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6319055557250977},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.6209121346473694},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6175801753997803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6147037148475647},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4831904470920563},{"id":"https://openalex.org/C2986862884","wikidata":"https://www.wikidata.org/wiki/Q7553","display_name":"Language translation","level":3,"score":0.4493900537490845},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42693185806274414},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.29970675706863403},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687998","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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":0,"referenced_works":[],"related_works":["https://openalex.org/W4288069866","https://openalex.org/W3166978923","https://openalex.org/W4389232935","https://openalex.org/W2986947168","https://openalex.org/W2904276469","https://openalex.org/W3109545856","https://openalex.org/W2971888217","https://openalex.org/W3155045749","https://openalex.org/W4213477128","https://openalex.org/W3101578490"],"abstract_inverted_index":{"Maintaining":[0],"content":[1],"consistency":[2],"is":[3,13],"a":[4,131],"critical":[5],"point":[6],"in":[7,17,79],"unpaired":[8,18],"image-to-image":[9,19],"translation.":[10],"Contrastive":[11],"learning":[12,78],"an":[14],"essential":[15],"framework":[16],"translation":[20],"to":[21,67,90],"maximize":[22],"the":[23,36,41,47,50,58,61,80,85,97,100,123],"mutual":[24,111],"information":[25,87,112],"between":[26],"corresponding":[27],"patches":[28],"of":[29,38,52,88,110,113,126],"input":[30],"and":[31,63,95,99,129],"generated":[32,53],"images.":[33],"However,":[34],"ignoring":[35],"importance":[37],"background":[39,51,64],"information,":[40],"previous":[42,127],"CL-based":[43],"methods":[44],"suffer":[45],"from":[46],"problems":[48],"that":[49,119],"images,":[54],"as":[55,57],"well":[56],"regions":[59],"where":[60],"object":[62],"intersect,":[65],"appear":[66],"be":[68],"blurred.":[69],"To":[70],"tackle":[71],"these":[72],"problems,":[73],"we":[74],"propose":[75],"cluster-guided":[76],"contrastive":[77],"I2I":[81],"task.":[82],"We":[83,105],"leverage":[84],"cluster":[86],"features":[89],"mine":[91],"hard":[92],"negative":[93],"samples":[94],"distinguish":[96],"concept":[98],"detail":[101],"without":[102],"additional":[103],"parameters.":[104],"further":[106],"provide":[107],"rigorous":[108],"proof":[109],"our":[114,120],"proposed":[115,135],"method,":[116,136],"which":[117],"proves":[118],"method":[121],"preserves":[122],"lower":[124,132],"bound":[125],"work":[128],"has":[130],"variance.":[133],"Our":[134],"CGCUT,":[137],"achieves":[138],"state-of-the-art":[139],"performance":[140],"on":[141,144],"most":[142],"metrics":[143],"three":[145],"benchmark":[146],"datasets.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}