{"id":"https://openalex.org/W7161160149","doi":"https://doi.org/10.1109/dcc66757.2026.00090","title":"Cross-Component Attention Network for In-Loop Filtering in Versatile Video Coding","display_name":"Cross-Component Attention Network for In-Loop Filtering in Versatile Video Coding","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7161160149","doi":"https://doi.org/10.1109/dcc66757.2026.00090"},"language":null,"primary_location":{"id":"doi:10.1109/dcc66757.2026.00090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","raw_type":"proceedings-article"},"type":"article","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/A5136145407","display_name":"Xiaodan Song","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodan Song","raw_affiliation_strings":["Xidian University,Xi&#x0027;an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,Xi&#x0027;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135205574","display_name":"Fan Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Cai","raw_affiliation_strings":["Xidian University,Xi&#x0027;an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,Xi&#x0027;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068435896","display_name":"Haixiong Li","orcid":"https://orcid.org/0000-0002-4874-5525"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixiong Li","raw_affiliation_strings":["Xidian University,Xi&#x0027;an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,Xi&#x0027;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027628335","display_name":"Xuyang Li","orcid":"https://orcid.org/0000-0002-1790-9451"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyang Li","raw_affiliation_strings":["Xidian University,Xi&#x0027;an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,Xi&#x0027;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133774868","display_name":"Yuansheng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuansheng Wu","raw_affiliation_strings":["Southwest China Institute of Electronic Technology,Chendu,China,610036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest China Institute of Electronic Technology,Chendu,China,610036","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054111211","display_name":"Xuguang Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I892709138","display_name":"Thermo Fisher Scientific (Norway)","ror":"https://ror.org/03x0ke992","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210142480","https://openalex.org/I892709138"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Xuguang Zuo","raw_affiliation_strings":["NETINT Technologies,Shanghai,China,201203"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NETINT Technologies,Shanghai,China,201203","institution_ids":["https://openalex.org/I892709138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108506455","display_name":"Yi Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Niu","raw_affiliation_strings":["Xidian University,Xi&#x0027;an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,Xi&#x0027;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136177823","display_name":"Fu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu Li","raw_affiliation_strings":["Xidian University,Xi&#x0027;an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,Xi&#x0027;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5136145407"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.95715915,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"463","last_page":"463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.4693000018596649,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.4693000018596649,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.27480000257492065,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.08479999750852585,"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/coding","display_name":"Coding (social sciences)","score":0.43790000677108765},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3280999958515167},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.32409998774528503},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2847999930381775},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2687999904155731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031000256538391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5275999903678894},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4260999858379364},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2847999930381775},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc66757.2026.00090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6068218207","display_name":null,"funder_award_id":"2022YFB2902900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8461398530","display_name":null,"funder_award_id":"62101398,62293483","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,41,49,65],"cross-component":[6,50],"attention":[7,51],"network":[8],"(CCA-Net)":[9],"for":[10,23,94,129],"in-loop":[11],"filtering":[12,57],"to":[13,44,54],"leverage":[14],"the":[15,36,62,80,102,111,114,138],"strengths":[16],"of":[17,68],"both":[18],"separate":[19,112],"and":[20,25,47,70,140],"shared":[21,103],"models":[22],"luma":[24,59,71],"chroma":[26,56,69],"components":[27],"while":[28,105],"exploit":[29],"their":[30],"cross":[31],"correlation.":[32],"Fig.":[33],"1":[34],"shows":[35],"overall":[37],"network.":[38],"We":[39],"adopt":[40],"structure":[42],"akin":[43],"multi-task":[45],"learning":[46],"introduce":[48],"(CCA)":[52],"module":[53],"guide":[55],"with":[58,73,101,110],"by":[60,142],"modeling":[61],"correlation":[63],"as":[64],"linear":[66],"combination":[67],"features":[72],"adaptive":[74],"weights.":[75],"Experimental":[76],"results":[77],"demonstrate":[78],"that":[79],"proposed":[81,115],"method":[82,116],"achieves":[83],"<tex":[84,95,119,130],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[85,96,120,131],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\{0.09":[86],"\\%,":[87,89,122,124],"4.03":[88],"3.37":[90],"\\%\\}$</tex>":[91,126],"bitrate":[92],"savings":[93],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\{\\mathrm{Y},":[97,132],"\\mathrm{U},":[98,133],"\\mathrm{V}\\}$</tex>,":[99,134],"compared":[100],"model":[104],"maintaining":[106],"similar":[107],"complexity.":[108],"Compared":[109],"models,":[113],"only":[117],"has":[118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\{0.35":[121],"0.2":[123],"0.59":[125],"performance":[127],"loss":[128],"but":[135],"significantly":[136],"reduces":[137],"computation":[139],"parameters":[141],"50":[143],"%.":[144]},"counts_by_year":[],"updated_date":"2026-05-16T06:04:12.930555","created_date":"2026-05-15T00:00:00"}