{"id":"https://openalex.org/W4387968547","doi":"https://doi.org/10.1145/3581783.3611697","title":"DAWN: Direction-aware Attention Wavelet Network for Image Deraining","display_name":"DAWN: Direction-aware Attention Wavelet Network for Image Deraining","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968547","doi":"https://doi.org/10.1145/3581783.3611697"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611697","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5103140908","display_name":"Kui Jiang","orcid":"https://orcid.org/0000-0002-4055-7503"},"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":"Kui Jiang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-4055-7503","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101564555","display_name":"Wenxuan Liu","orcid":"https://orcid.org/0000-0002-4417-6628"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxuan Liu","raw_affiliation_strings":["Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4417-6628","affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401164","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0003-3846-9157"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3846-9157","affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064738683","display_name":"Xian Zhong","orcid":"https://orcid.org/0000-0002-5242-0467"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Zhong","raw_affiliation_strings":["Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5242-0467","affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087165831","display_name":"Junjun Jiang","orcid":"https://orcid.org/0000-0002-5694-505X"},"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":"Junjun Jiang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-5694-505X","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051264473","display_name":"Chia\u2010Wen Lin","orcid":"https://orcid.org/0000-0002-9097-2318"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chia-Wen Lin","raw_affiliation_strings":["National Tsing Hua University, Hsinchu, China"],"raw_orcid":"https://orcid.org/0000-0002-9097-2318","affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Hsinchu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7065","last_page":"7074"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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/wavelet","display_name":"Wavelet","score":0.6971596479415894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6827367544174194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.662804126739502},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5805875062942505},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5137070417404175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49656468629837036},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4872647523880005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45653730630874634},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4466269314289093},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4418204724788666},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4246920347213745},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2914796769618988}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6971596479415894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827367544174194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.662804126739502},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5805875062942505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5137070417404175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49656468629837036},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4872647523880005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45653730630874634},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4466269314289093},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4418204724788666},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4246920347213745},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2914796769618988},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3611697","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4656527812","display_name":null,"funder_award_id":"61971165, 62271361","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1967282395","https://openalex.org/W1976056157","https://openalex.org/W1997201895","https://openalex.org/W2073623229","https://openalex.org/W2102166818","https://openalex.org/W2121396509","https://openalex.org/W2128848833","https://openalex.org/W2132984323","https://openalex.org/W2133665775","https://openalex.org/W2154621477","https://openalex.org/W2163146621","https://openalex.org/W2209874411","https://openalex.org/W2466666260","https://openalex.org/W2509784253","https://openalex.org/W2559264300","https://openalex.org/W2613034492","https://openalex.org/W2884068670","https://openalex.org/W2888632407","https://openalex.org/W2910832120","https://openalex.org/W2962772649","https://openalex.org/W2963017889","https://openalex.org/W2963111219","https://openalex.org/W2963800716","https://openalex.org/W2964212750","https://openalex.org/W2964267765","https://openalex.org/W2964331331","https://openalex.org/W2980047233","https://openalex.org/W2996544626","https://openalex.org/W3034972231","https://openalex.org/W3035326127","https://openalex.org/W3107811908","https://openalex.org/W3112479442","https://openalex.org/W3121052614","https://openalex.org/W3121983777","https://openalex.org/W3177052299","https://openalex.org/W3177172193","https://openalex.org/W3193296307","https://openalex.org/W3200683480","https://openalex.org/W3204210402","https://openalex.org/W3204296306","https://openalex.org/W3205858060","https://openalex.org/W4281492692","https://openalex.org/W4292787114","https://openalex.org/W4292828100","https://openalex.org/W4293192716","https://openalex.org/W4304083162","https://openalex.org/W4312389762","https://openalex.org/W4312399981","https://openalex.org/W4318953193","https://openalex.org/W6600297362","https://openalex.org/W6637050512"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2037549926","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2046633342","https://openalex.org/W3090113802","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Single":[0],"image":[1,43,223],"deraining":[2,113,224],"aims":[3],"to":[4,22,57,66,99,108,147,166,178,185],"remove":[5],"rain":[6,16,74,105,129,154,189],"perturbation":[7,75],"while":[8],"restoring":[9],"the":[10,36,55,68,78,82,87,92,100,144,149,153,159,168,180,187,202,230,240],"clean":[11],"background":[12,72,210],"scene":[13],"from":[14,137],"a":[15,121,172],"image.":[17],"However,":[18,86],"existing":[19,88,138],"methods":[20,90],"tend":[21],"produce":[23],"blurry":[24],"and":[25,38,60,73,81,111,162,182,205,225],"over-smooth":[26],"outputs,":[27],"lacking":[28],"some":[29],"textural":[30,39],"details.":[31],"Wavelet":[32,125],"transform":[33],"can":[34],"depict":[35],"contextual":[37],"information":[40,53],"of":[41,50,71,104],"an":[42],"at":[44],"different":[45,96],"levels,":[46],"showing":[47],"impressive":[48],"capability":[49],"learning":[51,150],"structural":[52],"in":[54,76,237],"images":[56],"avoid":[58],"artifacts,":[59],"thus":[61],"has":[62,133],"been":[63],"recently":[64],"explored":[65],"consider":[67],"inherent":[69,101],"overlap":[70],"both":[77],"pixel":[79],"domain":[80],"frequency":[83],"embedding":[84],"space.":[85],"wavelet-based":[89],"ignore":[91],"heterogeneous":[93],"degradation":[94],"for":[95,128,208],"coefficients":[97],"due":[98],"directional":[102],"characteristics":[103],"streaks,":[106],"leading":[107],"inter-frequency":[109],"conflicts":[110],"compromised":[112],"results.":[114],"To":[115],"address":[116],"this":[117],"issue,":[118],"we":[119],"propose":[120],"novel":[122,173],"Direction-aware":[123],"Attention":[124],"Network":[126],"(DAWN)":[127],"streaks":[130,155],"removal.":[131],"DAWN":[132,214],"several":[134],"key":[135],"distinctions":[136],"wavelet":[139],"transform-based":[140],"methods:":[141],"1)":[142],"introducing":[143],"vector":[145],"decomposition":[146],"parameterize":[148],"procedure,":[151],"where":[152],"are":[156],"derived":[157],"into":[158],"vertical":[160],"(V)":[161],"horizontal":[163],"(H)":[164],"components":[165],"learn":[167],"specific":[169],"representation;":[170],"2)":[171],"direction-aware":[174],"attention":[175],"module":[176],"(DAM)":[177],"fit":[179],"projection":[181],"transformation":[183],"parameters":[184],"characterize":[186],"direction-specific":[188],"components,":[190],"which":[191],"helps":[192],"accurate":[193],"texture":[194],"restoration;":[195],"3)":[196],"exploring":[197],"practical":[198],"composite":[199],"constraints":[200],"on":[201,219,239],"structure,":[203],"details,":[204],"chrominance":[206],"aspects":[207],"high-quality":[209],"restoration.":[211],"Our":[212],"proposed":[213],"delivers":[215],"significant":[216],"performance":[217],"gains":[218],"nine":[220],"datasets":[221],"across":[222],"object":[226],"detection":[227],"tasks,":[228],"exceeding":[229],"state-of-the-art":[231],"method":[232],"MPRNet":[233],"by":[234],"0.88":[235],"dB":[236],"PSNR":[238],"Test1200":[241],"dataset":[242],"with":[243],"only":[244],"35.5%":[245],"computation":[246],"cost.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}