{"id":"https://openalex.org/W2796314858","doi":"https://doi.org/10.1109/tip.2018.2867733","title":"Adversarial Spatio-Temporal Learning for Video Deblurring","display_name":"Adversarial Spatio-Temporal Learning for Video Deblurring","publication_year":2018,"publication_date":"2018-08-29","ids":{"openalex":"https://openalex.org/W2796314858","doi":"https://doi.org/10.1109/tip.2018.2867733","mag":"2796314858","pmid":"https://pubmed.ncbi.nlm.nih.gov/30176588"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2867733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2867733","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1804.00533","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kaihao Zhang","orcid":"https://orcid.org/0000-0002-4317-660X"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Kaihao Zhang","raw_affiliation_strings":["Australian National University, Canberra, ACT, AU"],"affiliations":[{"raw_affiliation_string":"Australian National University, Canberra, ACT, AU","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenhan Luo","orcid":"https://orcid.org/0000-0002-5697-4168"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhan Luo","raw_affiliation_strings":["Tencent AI Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yiran Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yiran Zhong","raw_affiliation_strings":["Australian National University, Canberra, ACT, AU"],"affiliations":[{"raw_affiliation_string":"Australian National University, Canberra, ACT, AU","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lin Ma","orcid":"https://orcid.org/0000-0002-7331-6132"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["Tencent AI Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-3865-8145"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Tencent AI Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hongdong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongdong Li","raw_affiliation_strings":["Australian National University, Canberra, ACT, AU"],"affiliations":[{"raw_affiliation_string":"Australian National University, Canberra, ACT, AU","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118347636"],"apc_list":null,"apc_paid":null,"fwci":6.481,"has_fulltext":false,"cited_by_count":272,"citation_normalized_percentile":{"value":0.97498795,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"28","issue":"1","first_page":"291","last_page":"301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.973800003528595,"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":0.973800003528595,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.01679999940097332,"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":0.00139999995008111,"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":0.9728000164031982},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6442999839782715},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6349999904632568},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5975000262260437},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5577999949455261},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4618000090122223},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4562999904155731},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4291999936103821}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9728000164031982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7724999785423279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7236999869346619},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6442999839782715},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6349999904632568},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6164000034332275},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5975000262260437},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5577999949455261},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4618000090122223},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4562999904155731},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4291999936103821},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.39820000529289246},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3862000107765198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.375900000333786},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36149999499320984},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.33489999175071716},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.3102000057697296},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.28700000047683716},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.2563999891281128},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tip.2018.2867733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2867733","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:30176588","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30176588","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1804.00533","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.00533","pdf_url":"https://arxiv.org/pdf/1804.00533","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-138918","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-138918","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/201923","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/201923","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"Journal article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1804.00533","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.00533","pdf_url":"https://arxiv.org/pdf/1804.00533","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320431","display_name":"Australian National University","ror":"https://ror.org/019wvm592"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1903029394","https://openalex.org/W1916731006","https://openalex.org/W1979557762","https://openalex.org/W1983364832","https://openalex.org/W1983996877","https://openalex.org/W2010541632","https://openalex.org/W2054619618","https://openalex.org/W2095610669","https://openalex.org/W2115579991","https://openalex.org/W2133665775","https://openalex.org/W2158407119","https://openalex.org/W2160451035","https://openalex.org/W2600389231","https://openalex.org/W2778107103","https://openalex.org/W2891511203","https://openalex.org/W3137059050","https://openalex.org/W6620707391","https://openalex.org/W6635591035","https://openalex.org/W6640112576","https://openalex.org/W6640118380","https://openalex.org/W6640214449","https://openalex.org/W6644603986","https://openalex.org/W6649177639","https://openalex.org/W6649863312","https://openalex.org/W6665477274","https://openalex.org/W6674914833","https://openalex.org/W6677161833","https://openalex.org/W6678856934","https://openalex.org/W6679159950","https://openalex.org/W6679627738","https://openalex.org/W6681563867","https://openalex.org/W6682864246","https://openalex.org/W6684191040","https://openalex.org/W6685352114","https://openalex.org/W6687483927","https://openalex.org/W6701022477","https://openalex.org/W6722752344","https://openalex.org/W6727340567","https://openalex.org/W6730518680","https://openalex.org/W6736507140","https://openalex.org/W6736697761","https://openalex.org/W6736905635","https://openalex.org/W6741329567","https://openalex.org/W6741565198","https://openalex.org/W6741742351","https://openalex.org/W6743219181","https://openalex.org/W6743257770","https://openalex.org/W6744217660","https://openalex.org/W6746691008","https://openalex.org/W6746756612","https://openalex.org/W6747225468","https://openalex.org/W6747257759","https://openalex.org/W6747428173"],"related_works":[],"abstract_inverted_index":{"Camera":[0],"shake":[1],"or":[2],"target":[3],"movement":[4],"often":[5],"leads":[6],"to":[7,24,33,56,63,74,93,104,118,151],"undesired":[8],"blur":[9],"effects":[10],"in":[11,112,137,149],"videos":[12],"captured":[13],"by":[14,88],"a":[15,81,90,135,146],"hand-held":[16],"camera.":[17],"Despite":[18],"significant":[19],"efforts":[20],"having":[21],"been":[22],"devoted":[23],"video-deblur":[25],"research,":[26],"two":[27,171],"major":[28],"challenges":[29],"remain:":[30],"1)":[31],"how":[32,55],"model":[34],"the":[35,40,47,64,76,95,119,126,131,138,176],"spatio-temporal":[36],"characteristics":[37],"across":[38],"both":[39,94],"spatial":[41,96,107],"domain":[42,49],"(i.e.,":[43,50],"image":[44,59],"plane)":[45],"and":[46,53,97,108,144,174],"temporal":[48,98,109],"neighboring":[51,113],"frames)":[52],"2)":[54],"restore":[57],"sharp":[58],"details":[60],"with":[61],"respect":[62],"conventionally":[65],"adopted":[66],"metric":[67],"of":[68],"pixel-wise":[69],"errors.":[70],"In":[71],"this":[72],"paper,":[73],"address":[75],"first":[77],"challenge,":[78,128],"we":[79,129,163],"propose":[80],"deblurring":[82,166],"network":[83,141],"(DBLRNet)":[84],"for":[85,155],"spatial-temporal":[86],"learning":[87],"applying":[89],"3D":[91],"convolution":[92],"domains.":[99],"Our":[100],"DBLRNet":[101,133],"is":[102,168],"able":[103],"capture":[105],"jointly":[106],"information":[110],"encoded":[111],"frames,":[114],"which":[115,162],"directly":[116],"contributes":[117],"improved":[120],"video":[121],"deblur":[122],"performance.":[123,178],"To":[124],"tackle":[125],"second":[127],"leverage":[130],"developed":[132,160],"as":[134,165],"generator":[136],"generative":[139],"adversarial":[140,153,157],"(GAN)":[142],"architecture":[143],"employ":[145],"content":[147],"loss":[148,154],"addition":[150],"an":[152],"efficient":[156],"training.":[158],"The":[159],"network,":[161],"name":[164],"GAN,":[167],"tested":[169],"on":[170],"standard":[172],"benchmarks":[173],"achieves":[175],"state-of-the-art":[177]},"counts_by_year":[{"year":2026,"cited_by_count":71},{"year":2025,"cited_by_count":67},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":16}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2018-04-13T00:00:00"}