{"id":"https://openalex.org/W4319341518","doi":"https://doi.org/10.1109/tpami.2023.3243059","title":"Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-Local Spatial-Temporal Similarity","display_name":"Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-Local Spatial-Temporal Similarity","publication_year":2023,"publication_date":"2023-02-07","ids":{"openalex":"https://openalex.org/W4319341518","doi":"https://doi.org/10.1109/tpami.2023.3243059","pmid":"https://pubmed.ncbi.nlm.nih.gov/37022839"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3243059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3243059","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5004164569","display_name":"Jinshan Pan","orcid":"https://orcid.org/0000-0003-0304-9507"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshan Pan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0304-9507","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100959905","display_name":"Boming Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boming Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040118825","display_name":"Haoran Bai","orcid":"https://orcid.org/0000-0002-3259-4339"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Bai","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3259-4339","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035112538","display_name":"Jinhui Tang","orcid":"https://orcid.org/0000-0001-9008-222X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9008-222X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418319","display_name":"Ming\u2013Hsuan Yang","orcid":"https://orcid.org/0000-0003-4848-2304"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]},{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Ming-Hsuan Yang","raw_affiliation_strings":["Google, University of California Merced, Merced, CA, USA","Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4848-2304","affiliations":[{"raw_affiliation_string":"Google, University of California Merced, Merced, CA, USA","institution_ids":["https://openalex.org/I156087764","https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.34,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.90348197,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"45","issue":"8","first_page":"9411","last_page":"9425"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.995199978351593,"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":0.9951000213623047,"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":0.9553015232086182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8077387809753418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7463243007659912},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.6892116069793701},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6884119510650635},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5833041667938232},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5832024216651917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5718660354614258},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5670960545539856},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.522570013999939},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4951716959476471},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3141695261001587},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22057929635047913}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9553015232086182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8077387809753418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463243007659912},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.6892116069793701},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6884119510650635},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5833041667938232},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5832024216651917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5718660354614258},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5670960545539856},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.522570013999939},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4951716959476471},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3141695261001587},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22057929635047913},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3243059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3243059","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37022839","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37022839","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1126053830","display_name":null,"funder_award_id":"30920041109","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G144503227","display_name":"\u56fe\u50cf\u548c\u89c6\u9891\u53bb\u6a21\u7cca\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u53ca\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61872421","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2058835121","display_name":null,"funder_award_id":"U22B2049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6329772822","display_name":null,"funder_award_id":"61925204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G654664898","display_name":null,"funder_award_id":"61922043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8273014382","display_name":null,"funder_award_id":"2018AAA0102001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W159023233","https://openalex.org/W233979554","https://openalex.org/W1677182931","https://openalex.org/W1917431891","https://openalex.org/W1996109124","https://openalex.org/W2044005793","https://openalex.org/W2054619618","https://openalex.org/W2062811295","https://openalex.org/W2129247234","https://openalex.org/W2166475174","https://openalex.org/W2169574628","https://openalex.org/W2172275395","https://openalex.org/W2534320940","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2560533888","https://openalex.org/W2564023417","https://openalex.org/W2609107023","https://openalex.org/W2738579427","https://openalex.org/W2759428153","https://openalex.org/W2796314858","https://openalex.org/W2895361760","https://openalex.org/W2895477542","https://openalex.org/W2948208276","https://openalex.org/W2962927175","https://openalex.org/W2963136136","https://openalex.org/W2963200935","https://openalex.org/W2963372104","https://openalex.org/W2963420272","https://openalex.org/W2963782415","https://openalex.org/W2963945023","https://openalex.org/W2964030969","https://openalex.org/W2965669158","https://openalex.org/W2970400386","https://openalex.org/W2987477823","https://openalex.org/W2997368531","https://openalex.org/W3010644855","https://openalex.org/W3035086889","https://openalex.org/W3087109185","https://openalex.org/W3095435396","https://openalex.org/W3101787898","https://openalex.org/W3107184287","https://openalex.org/W3169612303","https://openalex.org/W3170697543","https://openalex.org/W3174279090","https://openalex.org/W3176148916","https://openalex.org/W4312305207","https://openalex.org/W4312324876","https://openalex.org/W4312936768","https://openalex.org/W6618372016","https://openalex.org/W6631190155","https://openalex.org/W6686186229","https://openalex.org/W6726381175","https://openalex.org/W6784333009","https://openalex.org/W6796568838"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W2557898294","https://openalex.org/W2031788393","https://openalex.org/W2232201529","https://openalex.org/W2558246008","https://openalex.org/W4293737289","https://openalex.org/W2359633702","https://openalex.org/W2033307681","https://openalex.org/W3153582293"],"abstract_inverted_index":{"We":[0,135],"present":[1],"compact":[2,148],"and":[3,108,149,199],"effective":[4,88],"deep":[5],"convolutional":[6],"neural":[7],"networks":[8],"(CNNs)":[9],"by":[10,19],"exploring":[11,138],"properties":[12],"of":[13,29,77,126,142,168,183],"videos":[14,102,143],"for":[15,45,62,132],"video":[16],"deblurring.":[17],"Motivated":[18],"the":[20,27,30,60,68,81,94,124,139,152,155,163],"non-uniform":[21],"blur":[22,47],"property":[23],"that":[24,67,137,189],"not":[25],"all":[26],"pixels":[28,54],"frames":[31,57,75],"are":[32,175],"blurry,":[33],"we":[34,85,111],"develop":[35,86],"a":[36,40,113,120],"CNN":[37,61,96,153],"to":[38,58,73,92,129],"integrate":[39],"temporal":[41],"sharpness":[42],"prior":[43],"(TSP)":[44],"removing":[46],"in":[48,80,97,166,181],"videos.":[49,201],"The":[50],"TSP":[51],"exploits":[52],"sharp":[53],"from":[55],"adjacent":[56],"facilitate":[59],"better":[63],"frame":[64,133],"restoration.":[65,134],"Observing":[66],"motion":[69],"field":[70],"is":[71,159],"related":[72],"latent":[74],"instead":[76],"blurry":[78],"ones":[79],"image":[82],"formation":[83],"model,":[84],"an":[87,98],"cascaded":[89],"training":[90],"approach":[91,117],"solve":[93],"proposed":[95],"end-to-end":[99],"manner.":[100],"As":[101],"usually":[103],"contain":[104],"similar":[105],"contents":[106],"within":[107],"across":[109],"frames,":[110],"propose":[112],"non-local":[114,156],"similarity":[115,158],"mining":[116],"based":[118],"on":[119,197],"self-attention":[121],"method":[122,191],"with":[123,154],"propagation":[125],"global":[127],"features":[128],"constrain":[130],"CNNs":[131,146],"show":[136,188],"domain":[140],"knowledge":[141],"can":[144],"make":[145],"more":[147],"efficient,":[150],"where":[151],"spatial-temporal":[157],"3\u00d7":[160],"smaller":[161],"than":[162],"state-of-the-art":[164,195],"methods":[165],"terms":[167,182],"model":[169],"parameters":[170],"while":[171],"its":[172],"performance":[173],"gains":[174],"at":[176],"least":[177],"1":[178],"dB":[179],"higher":[180],"PSNRs.":[184],"Extensive":[185],"experimental":[186],"results":[187],"our":[190],"performs":[192],"favorably":[193],"against":[194],"approaches":[196],"benchmarks":[198],"real-world":[200]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
