{"id":"https://openalex.org/W3045835262","doi":"https://doi.org/10.1145/3406971.3406972","title":"Dense Block U-net for Dynamic Scene Deblurring","display_name":"Dense Block U-net for Dynamic Scene Deblurring","publication_year":2020,"publication_date":"2020-06-26","ids":{"openalex":"https://openalex.org/W3045835262","doi":"https://doi.org/10.1145/3406971.3406972","mag":"3045835262"},"language":"en","primary_location":{"id":"doi:10.1145/3406971.3406972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3406971.3406972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 The 4th International Conference on Graphics and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5075753445","display_name":"Yujie Wu","orcid":"https://orcid.org/0000-0002-7797-110X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Wu","raw_affiliation_strings":["Image Processing Center, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430263","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-1282-3755"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["Image Processing Center, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377383","display_name":"Yawei Li","orcid":"https://orcid.org/0000-0002-6192-2688"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yawei Li","raw_affiliation_strings":["Image Processing Center, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076481648","display_name":"Yinan Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinan Mao","raw_affiliation_strings":["Image Processing Center, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603784","display_name":"Lei He","orcid":"https://orcid.org/0000-0002-5453-4652"},"institutions":[{"id":"https://openalex.org/I4210120442","display_name":"AVIC Optronics (China)","ror":"https://ror.org/0338ntq56","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei He","raw_affiliation_strings":["Luoyang Electro-Optical Equipment Research Institute, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luoyang Electro-Optical Equipment Research Institute, Luoyang, China","institution_ids":["https://openalex.org/I4210120442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101770629","display_name":"Zhoufeng Liu","orcid":"https://orcid.org/0000-0003-0006-9959"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhoufeng Liu","raw_affiliation_strings":["Zhongyuan University of Technology, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhongyuan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I132586189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2563,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55719144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"50"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9944999814033508,"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":0.9950497150421143},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.8063993453979492},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7630693316459656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7606958150863647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7172426581382751},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6528463959693909},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6522740721702576},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6204765439033508},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5481005311012268},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48384228348731995},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45697200298309326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35806015133857727},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25258564949035645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21701490879058838}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9950497150421143},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.8063993453979492},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7630693316459656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7606958150863647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172426581382751},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6528463959693909},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6522740721702576},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6204765439033508},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5481005311012268},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48384228348731995},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45697200298309326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35806015133857727},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25258564949035645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21701490879058838},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3406971.3406972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3406971.3406972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 The 4th International Conference on Graphics and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1987075379","https://openalex.org/W2047123483","https://openalex.org/W2055616670","https://openalex.org/W2167307343","https://openalex.org/W2183341477","https://openalex.org/W2474628748","https://openalex.org/W2560533888","https://openalex.org/W2564023417","https://openalex.org/W2740543610","https://openalex.org/W2963312584","https://openalex.org/W2964030969","https://openalex.org/W2982795046"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W4229459996","https://openalex.org/W2232201529","https://openalex.org/W2031788393","https://openalex.org/W2089488370","https://openalex.org/W2004616103","https://openalex.org/W2033307681","https://openalex.org/W2965566740","https://openalex.org/W1977427710"],"abstract_inverted_index":{"Motion":[0],"blur":[1,50,77],"often":[2],"arises":[3],"in":[4],"a":[5,24,84],"single":[6],"image":[7,21],"because":[8],"of":[9,61],"the":[10,13,17,36,45,49,55,59,62,66,75,96,103,121],"camera":[11],"shake,":[12],"objects":[14],"motion":[15],"and":[16,112],"depth":[18],"variation.":[19],"The":[20,106],"deblurring":[22,124],"is":[23,52],"challenging":[25],"task":[26],"due":[27],"to":[28,72],"its":[29],"ill-posed":[30],"nature.":[31],"To":[32],"remove":[33],"these":[34],"blurriness,":[35],"conventional":[37],"energy":[38],"optimization":[39],"based":[40,68],"methods":[41,69],"always":[42],"rely":[43],"on":[44,109],"assumption":[46],"such":[47],"that":[48,117],"kernel":[51,97],"uniform":[53],"across":[54],"entire":[56],"image.":[57],"With":[58],"development":[60],"deep":[63],"neural":[64],"network,":[65],"learning":[67],"were":[70],"proposed":[71],"tackle":[73],"with":[74],"non-uniform":[76],"cases.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"propose":[83],"U-Net":[85],"network":[86],"containing":[87],"dense":[88],"blocks":[89],"for":[90],"dynamic":[91],"scene":[92],"deblurring.":[93],"By":[94],"passing":[95],"estimation,":[98],"our":[99,118],"model":[100],"significantly":[101],"reduces":[102],"inference":[104],"time.":[105],"extensive":[107],"experiments":[108],"both":[110],"synthetic":[111],"real":[113],"blurred":[114],"images":[115],"demonstrate":[116],"method":[119],"outperforms":[120],"state-of-the-art":[122],"blind":[123],"algorithms.":[125]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}