{"id":"https://openalex.org/W4324052865","doi":"https://doi.org/10.1145/3587468","title":"Local Bidirection Recurrent Network for Efficient Video Deblurring with the Fused Temporal Merge Module","display_name":"Local Bidirection Recurrent Network for Efficient Video Deblurring with the Fused Temporal Merge Module","publication_year":2023,"publication_date":"2023-03-13","ids":{"openalex":"https://openalex.org/W4324052865","doi":"https://doi.org/10.1145/3587468"},"language":"en","primary_location":{"id":"doi:10.1145/3587468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587468","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5100369939","display_name":"Chen Li","orcid":"https://orcid.org/0000-0003-4059-2058"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":"https://orcid.org/0000-0003-4059-2058","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002404808","display_name":"Li Song","orcid":"https://orcid.org/0000-0002-7124-5182"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Song","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":"https://orcid.org/0000-0002-7124-5182","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101577089","display_name":"Rong Xie","orcid":"https://orcid.org/0000-0002-8261-5337"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Xie","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":"https://orcid.org/0000-0002-8261-5337","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447806","display_name":"Wenjun Zhang","orcid":"https://orcid.org/0000-0001-8799-1182"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":"https://orcid.org/0000-0001-8799-1182","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.5318,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64807462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"19","issue":"5s","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T13579","display_name":"Image and Video Stabilization","score":0.994700014591217,"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":0.9890999794006348,"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":0.9893543720245361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7761421203613281},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7482851147651672},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.734333336353302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5404253005981445},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5218266844749451},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.48255103826522827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37863096594810486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3451617658138275},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.26209506392478943},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18381384015083313},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1473865807056427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1266847550868988},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.06894135475158691}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9893543720245361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7761421203613281},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7482851147651672},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.734333336353302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5404253005981445},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5218266844749451},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.48255103826522827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37863096594810486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3451617658138275},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.26209506392478943},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18381384015083313},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1473865807056427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1266847550868988},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.06894135475158691},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3587468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587468","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W159023233","https://openalex.org/W1522301498","https://openalex.org/W1916935112","https://openalex.org/W1917431891","https://openalex.org/W1996109124","https://openalex.org/W2044005793","https://openalex.org/W2045260838","https://openalex.org/W2054619618","https://openalex.org/W2118456997","https://openalex.org/W2169574628","https://openalex.org/W2560533888","https://openalex.org/W2609107023","https://openalex.org/W2738579427","https://openalex.org/W2891511203","https://openalex.org/W2917823630","https://openalex.org/W2948208276","https://openalex.org/W2949258649","https://openalex.org/W2953823547","https://openalex.org/W2963136136","https://openalex.org/W2963661589","https://openalex.org/W2963782415","https://openalex.org/W2964051148","https://openalex.org/W2965669158","https://openalex.org/W2987477823","https://openalex.org/W3035086889","https://openalex.org/W3095435396","https://openalex.org/W3110744506","https://openalex.org/W3157035436","https://openalex.org/W3174279090","https://openalex.org/W3176148916","https://openalex.org/W3193593975","https://openalex.org/W4213025400","https://openalex.org/W4214679693","https://openalex.org/W4304098283","https://openalex.org/W4312688508"],"related_works":["https://openalex.org/W3043873943","https://openalex.org/W3034770329","https://openalex.org/W2089488370","https://openalex.org/W4220831754","https://openalex.org/W2573793821","https://openalex.org/W2963383578","https://openalex.org/W3015323103","https://openalex.org/W4287817146","https://openalex.org/W2004616103","https://openalex.org/W4827971"],"abstract_inverted_index":{"Video":[0],"deblurring":[1,36,147],"methods":[2,103],"exploit":[3,80],"the":[4,30,35,40,44,48,54,59,63,68,73,85,97,144,154],"correlation":[5,106],"between":[6],"consecutive":[7],"blurry":[8],"inputs":[9],"to":[10,72,78],"generate":[11],"sharp":[12],"frames.":[13],"However,":[14],"designing":[15],"an":[16],"effective":[17],"and":[18,32,46,101,121],"efficient":[19],"method":[20,42,114,132],"is":[21],"a":[22,90,122,138],"challenging":[23],"problem":[24],"for":[25],"video":[26,146],"deblurring.":[27],"To":[28],"guarantee":[29],"effectiveness":[31,155],"further":[33],"improve":[34],"performance,":[37],"we":[38,66,88,111],"adopt":[39,89],"recurrent-based":[41],"as":[43,51,53],"baseline":[45],"reconsider":[47],"recurrent":[49,64,76],"mechanism":[50],"well":[52],"temporal":[55,86,92],"feature":[56],"alignment":[57],"in":[58],"state-of-the-art":[60,145],"methods.":[61,148],"For":[62,84],"mechanism,":[65],"add":[67],"local":[69],"backward":[70],"connection":[71],"global":[74],"forward":[75],"backbone":[77],"effectively":[79],"accurate":[81],"future":[82],"information.":[83],"alignment,":[87],"fused":[91],"merge":[93],"module":[94],"that":[95,130],"exploits":[96],"superiority":[98],"of":[99,156],"flow-based":[100],"kernel-based":[102],"with":[104,115,137],"progressive":[105],"volumes":[107],"estimation.":[108],"In":[109],"addition,":[110],"evaluate":[112],"our":[113,131,157],"both":[116],"synthetic":[117],"datasets":[118],"(GoPro,":[119],"DVD)":[120],"realistic":[123],"dataset":[124],"(BSD).":[125],"The":[126,149],"experimental":[127],"results":[128],"demonstrate":[129],"achieves":[133],"significant":[134],"performance":[135],"improvement":[136],"slight":[139],"computational":[140],"cost":[141],"increase":[142],"against":[143],"extended":[150],"ablation":[151],"studies":[152],"verify":[153],"model.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}