{"id":"https://openalex.org/W3191659868","doi":"https://doi.org/10.1109/tcsvt.2021.3093928","title":"Multi-Attention Convolutional Neural Network for Video Deblurring","display_name":"Multi-Attention Convolutional Neural Network for Video Deblurring","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3191659868","doi":"https://doi.org/10.1109/tcsvt.2021.3093928","mag":"3191659868"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3093928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3093928","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5100699785","display_name":"Xiaoqin Zhang","orcid":"https://orcid.org/0000-0003-0958-7285"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Zhang","raw_affiliation_strings":["College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0958-7285","affiliations":[{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453453","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-0202-0174"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0202-0174","affiliations":[{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040090294","display_name":"Runhua Jiang","orcid":"https://orcid.org/0000-0003-2402-8684"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runhua Jiang","raw_affiliation_strings":["College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2402-8684","affiliations":[{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730692","display_name":"Li Zhao","orcid":"https://orcid.org/0000-0001-5787-2705"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhao","raw_affiliation_strings":["College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5787-2705","affiliations":[{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068882471","display_name":"Yuewang Xu","orcid":"https://orcid.org/0000-0002-8057-2142"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuewang Xu","raw_affiliation_strings":["College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":null,"apc_paid":null,"fwci":2.4497,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.90941241,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"32","issue":"4","first_page":"1986","last_page":"1997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9983000159263611,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.998199999332428,"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/deblurring","display_name":"Deblurring","score":0.9474228620529175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8379861116409302},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7295622825622559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7184634208679199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6608263254165649},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5877843499183655},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5619173049926758},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4981541633605957},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4548805356025696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36019957065582275},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.27467161417007446},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2594905197620392},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19746726751327515}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9474228620529175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8379861116409302},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7295622825622559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7184634208679199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6608263254165649},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5877843499183655},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5619173049926758},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4981541633605957},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4548805356025696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36019957065582275},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.27467161417007446},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2594905197620392},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19746726751327515},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3093928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3093928","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G133414184","display_name":null,"funder_award_id":"U2033210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G214095759","display_name":null,"funder_award_id":"ZG2017016","funder_id":"https://openalex.org/F4320336615","funder_display_name":"Science and Technology Plan Project of Wenzhou, China"},{"id":"https://openalex.org/G346084562","display_name":null,"funder_award_id":"LR17F030001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3796144338","display_name":null,"funder_award_id":"61922064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G448318003","display_name":null,"funder_award_id":"C20170008","funder_id":"https://openalex.org/F4320336615","funder_display_name":"Science and Technology Plan Project of Wenzhou, China"},{"id":"https://openalex.org/G5226590996","display_name":"\u9762\u5411\u975e\u5bf9\u9f50\u6570\u636e\u7684\u4f4e\u79e9\u5f20\u91cf\u6062\u590d\u6a21\u578b\u53ca\u5176\u5feb\u901f\u7b97\u6cd5\u7814\u7a76","funder_award_id":"LQ19F020005","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336615","display_name":"Science and Technology Plan Project of Wenzhou, China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1616262590","https://openalex.org/W1686810756","https://openalex.org/W1916935112","https://openalex.org/W1917431891","https://openalex.org/W1993120651","https://openalex.org/W2043529138","https://openalex.org/W2044005793","https://openalex.org/W2054619618","https://openalex.org/W2060613391","https://openalex.org/W2102166818","https://openalex.org/W2127621202","https://openalex.org/W2133665775","https://openalex.org/W2167307343","https://openalex.org/W2169574628","https://openalex.org/W2194775991","https://openalex.org/W2338912670","https://openalex.org/W2436685139","https://openalex.org/W2474628748","https://openalex.org/W2519373937","https://openalex.org/W2560533888","https://openalex.org/W2564023417","https://openalex.org/W2565312867","https://openalex.org/W2605737038","https://openalex.org/W2609107023","https://openalex.org/W2613155248","https://openalex.org/W2738579427","https://openalex.org/W2752782242","https://openalex.org/W2768814045","https://openalex.org/W2796314858","https://openalex.org/W2798735168","https://openalex.org/W2799176631","https://openalex.org/W2866634454","https://openalex.org/W2895361760","https://openalex.org/W2921730251","https://openalex.org/W2948208276","https://openalex.org/W2955058313","https://openalex.org/W2960871125","https://openalex.org/W2963312584","https://openalex.org/W2963495494","https://openalex.org/W2963661589","https://openalex.org/W2963945023","https://openalex.org/W2963986095","https://openalex.org/W2964030969","https://openalex.org/W2965217508","https://openalex.org/W2965394549","https://openalex.org/W2965669158","https://openalex.org/W2987477823","https://openalex.org/W2996957700","https://openalex.org/W3018586778","https://openalex.org/W3033003249","https://openalex.org/W3097463671","https://openalex.org/W3098105350","https://openalex.org/W3098418424","https://openalex.org/W3101787898","https://openalex.org/W3102431071","https://openalex.org/W3114126472","https://openalex.org/W3123090129","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6680834391","https://openalex.org/W6682137061"],"related_works":["https://openalex.org/W2468652750","https://openalex.org/W2343612851","https://openalex.org/W2354226224","https://openalex.org/W2060018053","https://openalex.org/W2102992489","https://openalex.org/W2094238738","https://openalex.org/W2906703443","https://openalex.org/W4313023825","https://openalex.org/W2080322084","https://openalex.org/W2546942002"],"abstract_inverted_index":{"Video":[0],"deblurring,":[1],"which":[2],"aims":[3],"at":[4],"restoring":[5],"the":[6,17,35,39,45,54,59,86,124,130],"sharp":[7,87],"video":[8,112],"from":[9],"blurry":[10],"video,":[11],"is":[12,49,127],"drawing":[13],"increasing":[14],"attention":[15,37,42,56,62],"in":[16,105,133],"field":[18],"of":[19,34,135],"computer":[20],"vision.":[21],"In":[22],"this":[23],"paper,":[24],"a":[25,98,102],"method":[26],"called":[27],"Multi-Attention":[28],"Convolutional":[29],"Neural":[30],"Network":[31],"(MACNN)":[32],"consisting":[33],"temporal-spatial":[36,55],"module,":[38,43],"frame":[40,60],"channel":[41,61],"and":[44,58,69,82,101,116,138],"feature":[46],"extraction-reconstruction":[47],"module":[48,57,63],"proposed.":[50],"First,":[51],"we":[52,93],"use":[53],"to":[64,84,109,129],"capture":[65],"features":[66,79],"with":[67,97],"temporal":[68],"spatial":[70],"information":[71],"existing":[72],"across":[73],"neighboring":[74],"frames.":[75],"Then,":[76],"these":[77],"captured":[78],"are":[80],"fused":[81],"reconstructed":[83],"restore":[85],"frame.":[88],"Last":[89],"but":[90],"not":[91],"least,":[92],"train":[94],"MACNN":[95,126],"together":[96],"content":[99],"loss":[100,104],"perceptual":[103],"an":[106],"end-to-end":[107],"manner":[108],"recover":[110],"realistic":[111],"details.":[113],"Both":[114],"quantitative":[115],"qualitative":[117],"evaluation":[118],"results":[119],"on":[120],"standard":[121],"benchmarks":[122],"demonstrate":[123],"proposed":[125],"superior":[128],"state-of-the-art":[131],"methods":[132],"terms":[134],"accuracy,":[136],"efficiency,":[137],"visual":[139],"effect.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
