{"id":"https://openalex.org/W4403791912","doi":"https://doi.org/10.1145/3664647.3689001","title":"ACM Multimedia 2024 Grand Challenge Report for Artificial Intelligence Generated Image Detection","display_name":"ACM Multimedia 2024 Grand Challenge Report for Artificial Intelligence Generated Image Detection","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791912","doi":"https://doi.org/10.1145/3664647.3689001"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3689001","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3689001","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3689001?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3689001?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084781758","display_name":"Shien Song","orcid":"https://orcid.org/0009-0005-0324-243X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shien Song","raw_affiliation_strings":["MGTV, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0005-0324-243X","affiliations":[{"raw_affiliation_string":"MGTV, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103039153","display_name":"Jie Yang","orcid":"https://orcid.org/0009-0008-2856-2239"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["MGTV, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0008-2856-2239","affiliations":[{"raw_affiliation_string":"MGTV, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037950203","display_name":"Jin Chen","orcid":"https://orcid.org/0009-0003-7984-8054"},"institutions":[{"id":"https://openalex.org/I4210154323","display_name":"China Central Television","ror":"https://ror.org/059h8x781","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210154323"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Chen","raw_affiliation_strings":["MGTV, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-7984-8054","affiliations":[{"raw_affiliation_string":"MGTV, Beijing, China","institution_ids":["https://openalex.org/I4210154323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074883844","display_name":"Han Qi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Qi","raw_affiliation_strings":["MGTV, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0002-8206-873X","affiliations":[{"raw_affiliation_string":"MGTV, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101405087","display_name":"Yifei Xue","orcid":"https://orcid.org/0000-0002-4443-4367"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Xue","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-4443-4367","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043934992","display_name":"Yizhen Lao","orcid":"https://orcid.org/0000-0002-6284-1724"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhen Lao","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6284-1724","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102964297","display_name":"Yi Yu","orcid":"https://orcid.org/0009-0004-1485-1567"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Yu","raw_affiliation_strings":["MGTV, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0004-1485-1567","affiliations":[{"raw_affiliation_string":"MGTV, Changsha, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31003752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11470","last_page":"11471"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.4124000072479248,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.4124000072479248,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.4059999883174896,"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":0.7586387991905212},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.5986103415489197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.520433247089386},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4114946722984314},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3712109923362732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7586387991905212},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.5986103415489197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.520433247089386},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4114946722984314},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3712109923362732}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3689001","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3689001","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3689001?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3664647.3689001","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3689001","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3689001?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403791912.pdf","grobid_xml":"https://content.openalex.org/works/W4403791912.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W4392702959","https://openalex.org/W4403814510"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0],"AI":[1],"Generated":[2],"Image":[3],"Detection":[4],"Challenge,":[5],"organized":[6],"by":[7],"MGTV,":[8],"invites":[9],"participants":[10],"to":[11,37,46,55,65,80],"develop":[12,51],"advanced":[13],"algorithms":[14],"capable":[15],"of":[16,69],"accurately":[17],"distinguishing":[18],"between":[19],"real":[20],"and":[21,39,83,89],"AI-generated":[22,70],"images.":[23],"These":[24],"images":[25],"may":[26],"be":[27],"created":[28],"using":[29],"various":[30],"cutting-edge":[31],"techniques,":[32],"including":[33],"but":[34],"not":[35],"limited":[36],"GAN":[38],"Stable":[40],"Diffusion":[41],"algorithms.":[42,58],"Participants":[43],"are":[44],"encouraged":[45],"utilize":[47],"open-source":[48],"datasets":[49,54],"or":[50],"their":[52,57],"own":[53],"train":[56],"This":[59],"challenge":[60],"presents":[61],"a":[62],"unique":[63],"opportunity":[64],"enhance":[66],"the":[67,76],"field":[68],"image":[71],"detection,":[72],"particularly":[73],"in":[74],"improving":[75],"algorithm's":[77],"generalization":[78],"capabilities":[79],"identify":[81],"unknown":[82],"emerging":[84],"samples.":[85],"For":[86],"more":[87],"details":[88],"resources,":[90],"please":[91],"visit":[92],"our":[93],"official":[94],"website":[95],"(https://challenge.ai.mgtv.com/#/track/24).":[96]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}