{"id":"https://openalex.org/W3000128039","doi":"https://doi.org/10.1109/pcs48520.2019.8954499","title":"Dense Inception Attention Neural Network for In-Loop Filter","display_name":"Dense Inception Attention Neural Network for In-Loop Filter","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3000128039","doi":"https://doi.org/10.1109/pcs48520.2019.8954499","mag":"3000128039"},"language":"en","primary_location":{"id":"doi:10.1109/pcs48520.2019.8954499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs48520.2019.8954499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Picture Coding Symposium (PCS)","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/A5101762378","display_name":"Xiaoyu Xu","orcid":"https://orcid.org/0000-0002-9437-7639"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaoyu Xu","raw_affiliation_strings":["School of Electron. Inf. & Commun., Huazhong Univ. of Sci. & Tech"],"affiliations":[{"raw_affiliation_string":"School of Electron. Inf. & Commun., Huazhong Univ. of Sci. & Tech","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108813500","display_name":"Jian Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Qian","raw_affiliation_strings":["School of Electron. Inf. & Commun., Huazhong Univ. of Sci. & Tech"],"affiliations":[{"raw_affiliation_string":"School of Electron. Inf. & Commun., Huazhong Univ. of Sci. & Tech","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739349","display_name":"Li Yu","orcid":"https://orcid.org/0000-0002-5060-2558"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Yu","raw_affiliation_strings":["School of Electron. Inf. & Commun., Huazhong Univ. of Sci. & Tech"],"affiliations":[{"raw_affiliation_string":"School of Electron. Inf. & Commun., Huazhong Univ. of Sci. & Tech","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086371835","display_name":"Hongkui Wang","orcid":"https://orcid.org/0000-0002-4443-798X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongkui Wang","raw_affiliation_strings":["School of Electron. Inf. & Commun., Huazhong Univ. of Sci. & Tech"],"affiliations":[{"raw_affiliation_string":"School of Electron. Inf. & Commun., Huazhong Univ. of Sci. & Tech","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082641190","display_name":"Xing Zeng","orcid":"https://orcid.org/0000-0002-2754-7650"},"institutions":[{"id":"https://openalex.org/I75746372","display_name":"ZTE (United States)","ror":"https://ror.org/0518yg160","country_code":"US","type":"company","lineage":["https://openalex.org/I4210098582","https://openalex.org/I75746372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xing Zeng","raw_affiliation_strings":["ZTE Corporation"],"affiliations":[{"raw_affiliation_string":"ZTE Corporation","institution_ids":["https://openalex.org/I75746372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101633365","display_name":"Zhengang Li","orcid":"https://orcid.org/0000-0001-6644-4761"},"institutions":[{"id":"https://openalex.org/I75746372","display_name":"ZTE (United States)","ror":"https://ror.org/0518yg160","country_code":"US","type":"company","lineage":["https://openalex.org/I4210098582","https://openalex.org/I75746372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengang Li","raw_affiliation_strings":["ZTE Corporation"],"affiliations":[{"raw_affiliation_string":"ZTE Corporation","institution_ids":["https://openalex.org/I75746372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100387149","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0002-4937-6784"},"institutions":[{"id":"https://openalex.org/I75746372","display_name":"ZTE (United States)","ror":"https://ror.org/0518yg160","country_code":"US","type":"company","lineage":["https://openalex.org/I4210098582","https://openalex.org/I75746372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ning Wang","raw_affiliation_strings":["ZTE Corporation"],"affiliations":[{"raw_affiliation_string":"ZTE Corporation","institution_ids":["https://openalex.org/I75746372"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101762378"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7086,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75792668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10531","display_name":"Advanced Vision and Imaging","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7917391657829285},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6171539425849915},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6151993870735168},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5823973417282104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5282948017120361},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5087726712226868},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.4967973530292511},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4733476936817169},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4104200303554535},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3640945851802826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35831665992736816},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3346705436706543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32855722308158875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.31841105222702026},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1334156095981598},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07452312111854553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7917391657829285},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6171539425849915},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6151993870735168},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5823973417282104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5282948017120361},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5087726712226868},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.4967973530292511},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4733476936817169},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4104200303554535},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3640945851802826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35831665992736816},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3346705436706543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32855722308158875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31841105222702026},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1334156095981598},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07452312111854553},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs48520.2019.8954499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs48520.2019.8954499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2017801928","https://openalex.org/W2043292349","https://openalex.org/W2064674198","https://openalex.org/W2097117768","https://openalex.org/W2123113293","https://openalex.org/W2128272608","https://openalex.org/W2131070359","https://openalex.org/W2142683286","https://openalex.org/W2146395539","https://openalex.org/W2194775991","https://openalex.org/W2511730936","https://openalex.org/W2609476118","https://openalex.org/W2752154940","https://openalex.org/W2757828535","https://openalex.org/W2761287863","https://openalex.org/W2792766850","https://openalex.org/W2793408333","https://openalex.org/W2884796644","https://openalex.org/W2913664580","https://openalex.org/W2963343778","https://openalex.org/W2963446712","https://openalex.org/W2963495494","https://openalex.org/W2963606198","https://openalex.org/W2964121744","https://openalex.org/W3092472996","https://openalex.org/W3100087914","https://openalex.org/W3101531460","https://openalex.org/W6631190155","https://openalex.org/W6674914833","https://openalex.org/W6687483927","https://openalex.org/W6725739302","https://openalex.org/W6744386365","https://openalex.org/W6784385184"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2997512100","https://openalex.org/W2331043530","https://openalex.org/W2393933887","https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2368287095","https://openalex.org/W2945337394","https://openalex.org/W3107499092","https://openalex.org/W2529590664"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"learning":[2],"technology":[3],"has":[4,111],"made":[5],"significant":[6],"progresses":[7],"in":[8,15,93,129,136],"high":[9],"efficiency":[10],"video":[11],"coding":[12],"(HEVC),":[13],"especially":[14],"in-loop":[16,90],"filter.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21,73],"propose":[22],"a":[23,75,96],"dense":[24,76],"inception":[25,41],"attention":[26,57,61,64],"network":[27],"(DIA_Net)":[28],"to":[29,50,67,79,86,101],"delve":[30],"into":[31],"image":[32],"information":[33],"and":[34,62,98,120,132],"model":[35],"capacity.":[36],"The":[37,104],"DIA_Net":[38,85,110],"contains":[39],"multiple":[40],"blocks":[42],"which":[43],"have":[44],"different":[45],"size":[46],"kernels":[47],"so":[48],"as":[49,95],"dig":[51],"out":[52],"various":[53],"scales":[54],"information.":[55,71],"Meanwhile,":[56],"mechanism":[58],"including":[59],"spatial":[60],"channel":[63],"is":[65],"utilized":[66],"fully":[68],"exploit":[69],"feature":[70],"Further":[72],"adopt":[74],"residual":[77],"structure":[78],"deepen":[80],"the":[81,87,108,115],"network.":[82],"We":[83],"attach":[84],"end":[88],"of":[89],"filter":[91],"part":[92],"HEVC":[94],"post-processor":[97],"apply":[99],"it":[100],"luma":[102],"components.":[103],"experimental":[105],"results":[106],"demonstrate":[107],"proposed":[109],"remarkable":[112],"improvement":[113],"over":[114],"standard":[116],"HEVC.":[117],"With":[118],"all-intra(AI)":[119],"random":[121],"access(RA)":[122],"configurations,":[123],"It":[124],"achieves":[125],"8.2%":[126],"bd-rate":[127,134],"reduction":[128,135],"AI":[130],"configuration":[131],"5.6%":[133],"RA":[137],"configuration.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
