{"id":"https://openalex.org/W4403791794","doi":"https://doi.org/10.1145/3664647.3680721","title":"QPT-V2: Masked Image Modeling Advances Visual Scoring","display_name":"QPT-V2: Masked Image Modeling Advances Visual Scoring","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791794","doi":"https://doi.org/10.1145/3664647.3680721"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680721","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3680721","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1145/3664647.3680721","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109682746","display_name":"Qizhi Xie","orcid":"https://orcid.org/0000-0001-6171-9789"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qizhi Xie","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100614601","display_name":"Kun Yuan","orcid":"https://orcid.org/0000-0002-3681-2196"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yuan","raw_affiliation_strings":["Kuaishou Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115604943","display_name":"Yunpeng Qu","orcid":"https://orcid.org/0009-0006-9700-6290"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunpeng Qu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103562827","display_name":"Mingda Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingda Wu","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755311","display_name":"Ming Sun","orcid":"https://orcid.org/0000-0002-5948-2708"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Sun","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101583614","display_name":"Chao Zhou","orcid":"https://orcid.org/0000-0003-2969-3042"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhou","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108047893","display_name":"Jihong Zhu","orcid":"https://orcid.org/0000-0001-6830-1211"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihong Zhu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5109682746"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67095987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2709","last_page":"2718"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9965999722480774,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.6337636113166809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5703815817832947},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5252494215965271},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49924564361572266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6337636113166809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5703815817832947},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5252494215965271},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49924564361572266}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680721","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3680721","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:10.1145/3664647.3680721","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3680721","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W2078807908","https://openalex.org/W2102166818","https://openalex.org/W2148848374","https://openalex.org/W2161907179","https://openalex.org/W2168023013","https://openalex.org/W2194775991","https://openalex.org/W2473697052","https://openalex.org/W2543431435","https://openalex.org/W2563786098","https://openalex.org/W2611434713","https://openalex.org/W2754213847","https://openalex.org/W2770766657","https://openalex.org/W2791258091","https://openalex.org/W2905544033","https://openalex.org/W2939995367","https://openalex.org/W2950154603","https://openalex.org/W2953590133","https://openalex.org/W2965644659","https://openalex.org/W2983339877","https://openalex.org/W3002992380","https://openalex.org/W3030701471","https://openalex.org/W3035523707","https://openalex.org/W3035595647","https://openalex.org/W3035719652","https://openalex.org/W3091249416","https://openalex.org/W3099047215","https://openalex.org/W3099206234","https://openalex.org/W3100404621","https://openalex.org/W3103635814","https://openalex.org/W3105164497","https://openalex.org/W3123489609","https://openalex.org/W3138516171","https://openalex.org/W3193919962","https://openalex.org/W3204971388","https://openalex.org/W3206968390","https://openalex.org/W3210514413","https://openalex.org/W4214745154","https://openalex.org/W4225292576","https://openalex.org/W4239072543","https://openalex.org/W4283722751","https://openalex.org/W4285606417","https://openalex.org/W4288376516","https://openalex.org/W4312312750","https://openalex.org/W4312804044","https://openalex.org/W4367146870","https://openalex.org/W4382462760","https://openalex.org/W4386076169","https://openalex.org/W4386076227","https://openalex.org/W4386076522","https://openalex.org/W4387968291","https://openalex.org/W4390874126","https://openalex.org/W4402769976"],"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":{"Quality":[0],"assessment":[1,4],"and":[2,11,27,69,77,96,104,115,125,153,158],"aesthetics":[3,12,97],"aim":[5],"to":[6,61,94],"evaluate":[7],"the":[8,22,82,101,141],"perceived":[9],"quality":[10,95,124],"of":[13,24,33,67,144],"visual":[14],"content.":[15],"Current":[16],"learning-based":[17],"methods":[18],"suffer":[19],"greatly":[20],"from":[21],"scarcity":[23],"labeled":[25],"data":[26,108],"usually":[28],"perform":[29],"sub-optimally":[30],"in":[31,65,147],"terms":[32,66],"generalization.":[34],"Although":[35],"masked":[36],"image":[37],"modeling":[38],"(MIM)":[39],"has":[40],"achieved":[41],"noteworthy":[42],"advancements":[43],"across":[44],"various":[45],"high-level":[46,102],"tasks":[47],"(e.g.,":[48],"classification,":[49],"detection":[50],"etc.).":[51],"In":[52],"this":[53,72],"work,":[54],"we":[55,74],"take":[56],"on":[57,87,135],"a":[58,91],"novel":[59],"perspective":[60],"investigate":[62],"its":[63],"capabilities":[64],"quality-":[68,114],"aesthetics-awareness.":[70],"To":[71,99,111,121],"end,":[73],"propose":[75],"Quality-":[76],"aesthetics-aware":[78],"pretraining":[79,84,107,155],"(QPT":[80],"V2),":[81],"first":[83],"framework":[85],"based":[86],"MIM":[88],"that":[89],"offers":[90],"unified":[92],"solution":[93],"assessment.":[98],"perceive":[100],"semantics":[103],"fine-grained":[105],"details,":[106],"is":[109,119,130],"curated.":[110],"comprehensively":[112],"encompass":[113],"aesthetics-related":[116],"factors,":[117],"degradation":[118],"introduced.":[120],"capture":[122],"multi-scale":[123],"aesthetic":[126],"information,":[127],"model":[128],"structure":[129],"modified.":[131],"Extensive":[132],"experimental":[133],"results":[134],"11":[136],"downstream":[137],"benchmarks":[138],"clearly":[139],"show":[140],"superior":[142],"performance":[143],"QPT":[145],"V2":[146],"comparison":[148],"with":[149],"current":[150],"state-of-the-art":[151],"approaches":[152],"other":[154],"paradigms.":[156],"Code":[157],"models":[159],"will":[160],"be":[161],"released":[162],"at":[163],"https://github.com/KeiChiTse/QPT-V2.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}