{"id":"https://openalex.org/W4385626920","doi":"https://doi.org/10.1109/tip.2023.3301332","title":"Unsupervised Low-Light Video Enhancement With Spatial-Temporal Co-Attention Transformer","display_name":"Unsupervised Low-Light Video Enhancement With Spatial-Temporal Co-Attention Transformer","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385626920","doi":"https://doi.org/10.1109/tip.2023.3301332","pmid":"https://pubmed.ncbi.nlm.nih.gov/37549080"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3301332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3301332","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":["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/A5019487727","display_name":"Xiaoqian Lv","orcid":"https://orcid.org/0000-0002-8735-1561"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqian Lv","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084025984","display_name":"Shengping Zhang","orcid":"https://orcid.org/0000-0001-5200-3420"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengping Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424710","display_name":"Chenyang Wang","orcid":"https://orcid.org/0000-0003-1865-7572"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014774434","display_name":"Weigang Zhang","orcid":"https://orcid.org/0000-0003-0042-7074"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weigang Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023274785","display_name":"Hongxun Yao","orcid":"https://orcid.org/0000-0003-3298-2574"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxun Yao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5019487727"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.5504,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85193982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"4701","last_page":"4715"},"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/T11019","display_name":"Image Enhancement Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7736622095108032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7482953667640686},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5476589798927307},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5239022970199585},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.4738258123397827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4612646698951721},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.43799346685409546},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43432727456092834},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.3070799708366394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736622095108032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7482953667640686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5476589798927307},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5239022970199585},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.4738258123397827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4612646698951721},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.43799346685409546},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43432727456092834},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.3070799708366394}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3301332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3301332","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:37549080","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37549080","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3665781417","display_name":null,"funder_award_id":"2021ZD0110901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5088099873","display_name":null,"funder_award_id":"62272134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5967673014","display_name":null,"funder_award_id":"61976069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W1513440577","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1987444808","https://openalex.org/W2011260964","https://openalex.org/W2051305634","https://openalex.org/W2052090926","https://openalex.org/W2054814429","https://openalex.org/W2057995993","https://openalex.org/W2063784584","https://openalex.org/W2074396563","https://openalex.org/W2076205488","https://openalex.org/W2102166818","https://openalex.org/W2102584639","https://openalex.org/W2112515787","https://openalex.org/W2116216039","https://openalex.org/W2130371553","https://openalex.org/W2133665775","https://openalex.org/W2141704978","https://openalex.org/W2154549868","https://openalex.org/W2165107586","https://openalex.org/W2430408220","https://openalex.org/W2468596194","https://openalex.org/W2515315308","https://openalex.org/W2560474170","https://openalex.org/W2566376500","https://openalex.org/W2582488595","https://openalex.org/W2594112328","https://openalex.org/W2793146153","https://openalex.org/W2886787375","https://openalex.org/W2893333553","https://openalex.org/W2935842779","https://openalex.org/W2962793481","https://openalex.org/W2965669158","https://openalex.org/W2969359419","https://openalex.org/W2981847167","https://openalex.org/W2986422266","https://openalex.org/W2990294915","https://openalex.org/W2996010494","https://openalex.org/W2998334235","https://openalex.org/W3030380536","https://openalex.org/W3035731588","https://openalex.org/W3047017093","https://openalex.org/W3085056143","https://openalex.org/W3096609285","https://openalex.org/W3106758205","https://openalex.org/W3108679343","https://openalex.org/W3117326213","https://openalex.org/W3119379899","https://openalex.org/W3121661546","https://openalex.org/W3134765225","https://openalex.org/W3135479537","https://openalex.org/W3138516171","https://openalex.org/W3154123740","https://openalex.org/W3157035436","https://openalex.org/W3169612303","https://openalex.org/W3170841864","https://openalex.org/W3170874841","https://openalex.org/W3171125843","https://openalex.org/W3174792937","https://openalex.org/W3177337242","https://openalex.org/W3182700213","https://openalex.org/W3199334903","https://openalex.org/W3203313153","https://openalex.org/W3203499574","https://openalex.org/W3207918547","https://openalex.org/W3211490618","https://openalex.org/W3214264009","https://openalex.org/W4221153219","https://openalex.org/W4226020516","https://openalex.org/W4285290430","https://openalex.org/W4292829056","https://openalex.org/W4312617404","https://openalex.org/W4312812783","https://openalex.org/W4312912750","https://openalex.org/W4319459159","https://openalex.org/W4322100000","https://openalex.org/W4385245566","https://openalex.org/W6630676078","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6666881064","https://openalex.org/W6739901393","https://openalex.org/W6749271710","https://openalex.org/W6755037456","https://openalex.org/W6778485988","https://openalex.org/W6788135285","https://openalex.org/W6796568838","https://openalex.org/W6797399245","https://openalex.org/W6850343407"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2525745698","https://openalex.org/W2152030049","https://openalex.org/W1967654336","https://openalex.org/W1579157894","https://openalex.org/W2010724756","https://openalex.org/W2564543331","https://openalex.org/W2410869481","https://openalex.org/W2152888801","https://openalex.org/W2060632806"],"abstract_inverted_index":{"Existing":[0],"low-light":[1,98],"video":[2,99],"enhancement":[3,100],"methods":[4,52],"are":[5,13,33],"dominated":[6],"by":[7],"Convolution":[8],"Neural":[9],"Networks":[10],"(CNNs)":[11],"that":[12,244],"trained":[14,35],"in":[15,29,81,199],"a":[16,115,166,182],"supervised":[17],"manner.":[18],"Due":[19],"to":[20,47,77,101,119,138,145,156,171,195],"the":[21,69,93,148,158,162,173,224,227,230,238],"difficulty":[22],"of":[23,73,151,161,179,226],"collecting":[24],"paired":[25],"dynamic":[26,149],"low/normal-light":[27],"videos":[28],"real-world":[30,48],"scenes,":[31],"they":[32],"usually":[34],"on":[36,223,237],"synthetic,":[37],"static,":[38],"and":[39,61,84,111,192,202,229,240],"uniform":[40],"motion":[41,62,209],"videos,":[42],"which":[43,107,188],"undermines":[44],"their":[45],"generalization":[46],"scenes.":[49],"Additionally,":[50],"these":[51,89],"typically":[53],"suffer":[54],"from":[55],"temporal":[56,85,124,159,203],"inconsistency":[57],"(e.g.,":[58],"flickering":[59],"artifacts":[60],"blurs)":[63],"when":[64],"handling":[65],"large-scale":[66],"motions":[67],"since":[68],"local":[70],"perception":[71],"property":[72],"CNNs":[74],"limits":[75],"them":[76],"model":[78,157],"long-range":[79,109,197],"dependencies":[80,113],"both":[82,200],"spatial":[83,201],"domains.":[86],"To":[87,211],"address":[88],"problems,":[90],"we":[91,164,215],"propose":[92,217],"first":[94,136],"unsupervised":[95,213],"method":[96],"for":[97,207],"our":[102,245],"best":[103],"knowledge,":[104],"named":[105],"LightenFormer,":[106],"models":[108],"intra-":[110],"inter-frame":[112],"with":[114],"spatial-temporal":[116],"co-attention":[117],"transformer":[118],"enhance":[120],"brightness":[121],"while":[122],"maintaining":[123],"consistency.":[125],"Specifically,":[126],"an":[127,152],"effective":[128],"but":[129],"lightweight":[130],"S-curve":[131,228],"Estimation":[132],"Network":[133,169],"(SCENet)":[134],"is":[135,181],"proposed":[137],"estimate":[139],"pixel-wise":[140],"S-shaped":[141],"non-linear":[142],"curves":[143],"(S-curves)":[144],"adaptively":[146],"adjust":[147],"range":[150],"input":[153],"video.":[154,175],"Next,":[155],"consistency":[160],"video,":[163],"present":[165],"Spatial-Temporal":[167,184],"Refinement":[168],"(STRNet)":[170],"refine":[172],"enhanced":[174],"The":[176],"core":[177],"module":[178],"STRNet":[180],"novel":[183],"Co-attention":[185],"Transformer":[186],"(STCAT),":[187],"exploits":[189],"multi-scale":[190],"self-":[191],"cross-attention":[193],"interactions":[194],"capture":[196],"correlations":[198],"domains":[204],"among":[205,233],"frames":[206],"implicit":[208],"estimation.":[210],"achieve":[212],"training,":[214],"further":[216],"two":[218],"non-reference":[219],"loss":[220],"functions":[221],"based":[222],"invertibility":[225],"noise":[231],"independence":[232],"frames.":[234],"Extensive":[235],"experiments":[236],"SDSD":[239],"LLIV-Phone":[241],"datasets":[242],"demonstrate":[243],"LightenFormer":[246],"outperforms":[247],"state-of-the-art":[248],"methods.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}