{"id":"https://openalex.org/W2961218591","doi":"https://doi.org/10.1109/cvpr.2019.00397","title":"Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections","display_name":"Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2961218591","doi":"https://doi.org/10.1109/cvpr.2019.00397","mag":"2961218591"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2019.00397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2019.00397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-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/A5056939620","display_name":"Hongyun Gao","orcid":"https://orcid.org/0000-0001-5546-6906"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]},{"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":true,"raw_author_name":"Hongyun Gao","raw_affiliation_strings":["The Chinese Univ. of Hong Kong","Tencent, Youtu Lab","The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese Univ. of Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Tencent, Youtu Lab","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037702873","display_name":"Xin Tao","orcid":"https://orcid.org/0000-0001-9126-4746"},"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":"Xin Tao","raw_affiliation_strings":["Tencent","Tencent, Youtu Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent, Youtu Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103106854","display_name":"Xiaoyong Shen","orcid":"https://orcid.org/0000-0002-2919-0181"},"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":"Xiaoyong Shen","raw_affiliation_strings":["Tencent","Tencent, Youtu Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent, Youtu Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052856441","display_name":"Jiaya Jia","orcid":"https://orcid.org/0000-0002-1246-553X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]},{"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":"Jiaya Jia","raw_affiliation_strings":["Chinese Univ. of Hong Kong","Tencent, Youtu Lab","The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Univ. of Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Tencent, Youtu Lab","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056939620"],"corresponding_institution_ids":["https://openalex.org/I177725633","https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":20.0031,"has_fulltext":false,"cited_by_count":378,"citation_normalized_percentile":{"value":0.99454818,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3843","last_page":"3851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9950000047683716,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9846296310424805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7408329844474792},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5638505816459656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5577716827392578},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.5439143776893616},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5394929051399231},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5076898336410522},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.412926584482193},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3567177653312683},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18747282028198242},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10221993923187256}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9846296310424805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7408329844474792},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5638505816459656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5577716827392578},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.5439143776893616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5394929051399231},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5076898336410522},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.412926584482193},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3567177653312683},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18747282028198242},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10221993923187256},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2019.00397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2019.00397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-141692","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-141692","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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1026270304","https://openalex.org/W1457323852","https://openalex.org/W1533861849","https://openalex.org/W1546771929","https://openalex.org/W1598281290","https://openalex.org/W1901129140","https://openalex.org/W1916935112","https://openalex.org/W1934184906","https://openalex.org/W1976730913","https://openalex.org/W2044005793","https://openalex.org/W2047123483","https://openalex.org/W2103913786","https://openalex.org/W2109992539","https://openalex.org/W2118456997","https://openalex.org/W2141115311","https://openalex.org/W2167307343","https://openalex.org/W2172275395","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2465552163","https://openalex.org/W2468652750","https://openalex.org/W2474628748","https://openalex.org/W2520164769","https://openalex.org/W2558246008","https://openalex.org/W2560533888","https://openalex.org/W2564023417","https://openalex.org/W2747898905","https://openalex.org/W2780544323","https://openalex.org/W2795024892","https://openalex.org/W2798735168","https://openalex.org/W2950621961","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963729050","https://openalex.org/W2963800716","https://openalex.org/W2964030969","https://openalex.org/W2964046669","https://openalex.org/W2964101377","https://openalex.org/W2964121744","https://openalex.org/W6626481562","https://openalex.org/W6631943919","https://openalex.org/W6632360823","https://openalex.org/W6635527474","https://openalex.org/W6639824700","https://openalex.org/W6662196125","https://openalex.org/W6676766825","https://openalex.org/W6719443550","https://openalex.org/W6721025879","https://openalex.org/W6726381175","https://openalex.org/W6729858428","https://openalex.org/W6749012761"],"related_works":["https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W2905397092","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"Dynamic":[0],"Scene":[1],"deblurring":[2,50],"is":[3,13],"a":[4,70,91,126],"challenging":[5],"low-level":[6],"vision":[7],"task":[8],"where":[9],"spatially":[10],"variant":[11],"blur":[12],"caused":[14],"by":[15,53],"many":[16],"factors,":[17],"e.g.,":[18],"camera":[19],"shake":[20],"and":[21,37,57,117],"object":[22],"motion.":[23],"Recent":[24],"study":[25],"has":[26],"made":[27],"significant":[28,123],"progress.":[29],"Compared":[30],"with":[31],"the":[32,44,49,55,63,76,118],"parameter":[33,38,109],"independence":[34],"scheme":[35,40],"[19]":[36],"sharing":[39,60,111],"[33],":[41],"we":[42,68,89],"develop":[43],"general":[45],"principle":[46],"for":[47,75],"constraining":[48],"network":[51],"structure":[52,74],"proposing":[54],"generic":[56],"effective":[58],"selective":[59,110],"scheme.":[61],"Inside":[62],"subnetwork":[64],"of":[65,95],"each":[66],"scale,":[67],"propose":[69],"nested":[71,113],"skip":[72,114],"connection":[73,115],"nonlinear":[77],"transformation":[78],"modules":[79],"to":[80,124],"replace":[81],"stacked":[82],"convolution":[83],"layers":[84],"or":[85],"residual":[86],"blocks.":[87],"Besides,":[88],"build":[90],"new":[92,119,127],"large":[93],"dataset":[94,120],"blurred/sharp":[96],"image":[97],"pairs":[98],"towards":[99],"better":[100],"restoration":[101],"quality.":[102],"Comprehensive":[103],"experimental":[104],"results":[105],"show":[106],"that":[107],"our":[108],"scheme,":[112],"structure,":[116],"are":[121],"all":[122],"set":[125],"state-of-the-art":[128],"in":[129],"dynamic":[130],"scene":[131],"deblurring.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":45},{"year":2024,"cited_by_count":62},{"year":2023,"cited_by_count":67},{"year":2022,"cited_by_count":74},{"year":2021,"cited_by_count":80},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
