{"id":"https://openalex.org/W3169827180","doi":"https://doi.org/10.1109/icme51207.2021.9428104","title":"Attention Driven Self-Similarity Capture for Motion Deblurring","display_name":"Attention Driven Self-Similarity Capture for Motion Deblurring","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3169827180","doi":"https://doi.org/10.1109/icme51207.2021.9428104","mag":"3169827180"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100436697","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-1028-6765"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001130529","display_name":"Chuanfa Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanfa Zhang","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029002143","display_name":"Jiangzhou Wang","orcid":"https://orcid.org/0000-0003-0881-3594"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangzhou Wang","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053667567","display_name":"Qingyue Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyue Xiong","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032429023","display_name":"Yingtao Zhang","orcid":"https://orcid.org/0000-0002-8587-9645"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingtao Zhang","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100669255","display_name":"Wenqiang Zhang","orcid":"https://orcid.org/0000-0002-3339-8751"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Zhang","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9980999827384949,"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":0.9818999767303467,"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":0.954768717288971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6486876010894775},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5772961378097534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.542207658290863},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5343387126922607},{"id":"https://openalex.org/keywords/self-similarity","display_name":"Self-similarity","score":0.4702188968658447},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4641716480255127},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.2018166184425354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13299360871315002},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12401032447814941},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.11381378769874573}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.954768717288971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6486876010894775},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5772961378097534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.542207658290863},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5343387126922607},{"id":"https://openalex.org/C119453123","wikidata":"https://www.wikidata.org/wiki/Q262372","display_name":"Self-similarity","level":2,"score":0.4702188968658447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4641716480255127},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2018166184425354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13299360871315002},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12401032447814941},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.11381378769874573},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313887","display_name":"ZTE Corporation","ror":"https://ror.org/00rjhhq63"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321851","display_name":"Fudan University","ror":"https://ror.org/013q1eq08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2560533888","https://openalex.org/W2798735168","https://openalex.org/W2949846184","https://openalex.org/W2961218591","https://openalex.org/W2963312584","https://openalex.org/W2964030969","https://openalex.org/W2965217508","https://openalex.org/W2981689412","https://openalex.org/W2982795046","https://openalex.org/W2997058852","https://openalex.org/W3015619088","https://openalex.org/W3023064088","https://openalex.org/W3034281548","https://openalex.org/W3034347085","https://openalex.org/W3034789174","https://openalex.org/W3035484352","https://openalex.org/W3107405705","https://openalex.org/W6729983426","https://openalex.org/W6756709046","https://openalex.org/W6770156224","https://openalex.org/W6777028348"],"related_works":["https://openalex.org/W4308216825","https://openalex.org/W4312281738","https://openalex.org/W2786875726","https://openalex.org/W4287817146","https://openalex.org/W2062923025","https://openalex.org/W4226194415","https://openalex.org/W3009226622","https://openalex.org/W3015323103","https://openalex.org/W2088835499","https://openalex.org/W2379232404"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"learning-based":[2],"algorithms":[3],"have":[4],"brought":[5],"impressive":[6],"results":[7],"in":[8,18,26],"deblurring":[9],"tasks.":[10],"However,":[11],"as":[12],"an":[13,35,63],"image":[14,19],"prior":[15],"proved":[16],"important":[17],"restoration":[20],"tasks,":[21],"self-similarity":[22,46],"was":[23],"not":[24],"exploited":[25],"motion":[27,76],"deblurring.":[28],"To":[29],"tackle":[30],"this":[31],"problem,":[32],"we":[33,61,97],"propose":[34],"Attention":[36,66],"Self-Similarity":[37],"Capture":[38],"(ASSC)":[39],"module,":[40,68],"which":[41,69],"takes":[42],"full":[43],"advantage":[44],"of":[45,83],"by":[47],"capturing":[48],"long-range":[49],"feature":[50,91],"dependencies.":[51],"Besides,":[52],"to":[53,73,105],"achieve":[54],"a":[55],"trade-off":[56],"between":[57,93],"performance":[58],"and":[59,103,112,129],"efficiency,":[60],"design":[62],"Enhanced":[64],"Spatial":[65],"(ESA)":[67],"can":[70],"dynamically":[71],"adapt":[72],"the":[74,84,107,125],"spatially-varying":[75],"blur.":[77],"We":[78],"employ":[79],"patch-hierarchical":[80],"architecture":[81],"composed":[82],"two":[85,99],"modules":[86],"mentioned":[87],"above":[88],"with":[89],"parameter-free":[90],"flow":[92],"different":[94],"levels.":[95],"Moreover,":[96],"build":[98],"large-scale":[100],"datasets,":[101],"GOPRO-Supplement":[102],"SONY-Extension,":[104],"expand":[106],"public":[108,126],"GOPRO":[109,127],"dataset\u2019s":[110],"scene":[111],"resolution.":[113],"Extensive":[114],"experiments":[115],"demonstrate":[116],"that":[117],"our":[118,130],"method":[119],"outperforms":[120],"state-of-the-art":[121],"methods":[122],"on":[123],"both":[124],"dataset":[128],"datasets.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}