{"id":"https://openalex.org/W4399485226","doi":"https://doi.org/10.1109/tcsvt.2024.3411655","title":"GLGFN: Global-Local Grafting Fusion Network for High-Resolution Image Deraining","display_name":"GLGFN: Global-Local Grafting Fusion Network for High-Resolution Image Deraining","publication_year":2024,"publication_date":"2024-06-10","ids":{"openalex":"https://openalex.org/W4399485226","doi":"https://doi.org/10.1109/tcsvt.2024.3411655"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3411655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3411655","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-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/A5089927144","display_name":"Tao Yan","orcid":"https://orcid.org/0000-0002-9162-8551"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yan","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-9162-8551","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041967663","display_name":"Xiangjie Zhu","orcid":"https://orcid.org/0000-0002-5942-4161"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjie Zhu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059910807","display_name":"Xianglong Chen","orcid":"https://orcid.org/0000-0002-3165-1434"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglong Chen","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026426532","display_name":"Weijiang He","orcid":"https://orcid.org/0000-0002-3157-5769"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijiang He","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367824","display_name":"Chenglong Wang","orcid":"https://orcid.org/0000-0003-2262-4167"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Wang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397453","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0003-1946-6591"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Department of Computer Science, Jiangsu University, Zhenjiang, Jiangsu, China","Department of Computer Science, Jiangsu University, Zhenjiang, Jiangsu Province, China"],"raw_orcid":"https://orcid.org/0000-0003-1946-6591","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jiangsu University, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]},{"raw_affiliation_string":"Department of Computer Science, Jiangsu University, Zhenjiang, Jiangsu Province, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114804048","display_name":"Yinghui Wang","orcid":"https://orcid.org/0009-0004-8157-7326"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghui Wang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0004-8157-7326","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034967388","display_name":"Xiaojun Chang","orcid":"https://orcid.org/0000-0002-7778-8807"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaojun Chang","raw_affiliation_strings":["Faculty of Engineering and Information Technology, Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, Australia","Faculty of Engineering and Information Technology, Australian Artificial Intelligence Institute, University of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7778-8807","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Faculty of Engineering and Information Technology, Australian Artificial Intelligence Institute, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2481,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89010934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"34","issue":"11","first_page":"10860","last_page":"10873"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9955000281333923,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9955000281333923,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9904000163078308,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9850000143051147,"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":0.5530638098716736},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4895864427089691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4610857367515564},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.424822062253952},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37200647592544556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3479955196380615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5530638098716736},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4895864427089691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4610857367515564},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.424822062253952},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37200647592544556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3479955196380615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3411655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3411655","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G260156416","display_name":null,"funder_award_id":"62172190","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G407675110","display_name":null,"funder_award_id":"61902151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6656875176","display_name":null,"funder_award_id":"BK20170197","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W2121396509","https://openalex.org/W2154621477","https://openalex.org/W2209874411","https://openalex.org/W2466666260","https://openalex.org/W2509784253","https://openalex.org/W2559264300","https://openalex.org/W2739757502","https://openalex.org/W2740982616","https://openalex.org/W2777170053","https://openalex.org/W2884068670","https://openalex.org/W2885623108","https://openalex.org/W2888632407","https://openalex.org/W2896911342","https://openalex.org/W2899857045","https://openalex.org/W2910832120","https://openalex.org/W2912435603","https://openalex.org/W2922509574","https://openalex.org/W2946824094","https://openalex.org/W2954171777","https://openalex.org/W2958547803","https://openalex.org/W2963017889","https://openalex.org/W2963800716","https://openalex.org/W2963866045","https://openalex.org/W2964212750","https://openalex.org/W2964267765","https://openalex.org/W3034242291","https://openalex.org/W3035326127","https://openalex.org/W3092703224","https://openalex.org/W3093101131","https://openalex.org/W3106758205","https://openalex.org/W3158867137","https://openalex.org/W3170697543","https://openalex.org/W3171125843","https://openalex.org/W3175186117","https://openalex.org/W3177127346","https://openalex.org/W3183026600","https://openalex.org/W3186182384","https://openalex.org/W3193296307","https://openalex.org/W3204296306","https://openalex.org/W3205052440","https://openalex.org/W3205858060","https://openalex.org/W3215632849","https://openalex.org/W4224130636","https://openalex.org/W4224922575","https://openalex.org/W4225672218","https://openalex.org/W4283023197","https://openalex.org/W4283833515","https://openalex.org/W4285505226","https://openalex.org/W4286901804","https://openalex.org/W4304099129","https://openalex.org/W4312399981","https://openalex.org/W4312812783","https://openalex.org/W4312873952","https://openalex.org/W4312938066","https://openalex.org/W4313166619","https://openalex.org/W4313170506","https://openalex.org/W4317496742","https://openalex.org/W4318953193","https://openalex.org/W4327808545","https://openalex.org/W4382449856","https://openalex.org/W4385804906","https://openalex.org/W4386075800","https://openalex.org/W4390874267","https://openalex.org/W6772230799","https://openalex.org/W6810653034","https://openalex.org/W6840330603","https://openalex.org/W6849256465","https://openalex.org/W6853672178"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Image":[0],"deraining":[1,24,49,120],"is":[2,89],"a":[3,110,127,184],"hot":[4],"research":[5],"topic,":[6],"which":[7,189],"aims":[8],"to":[9,36,78,91,131,150,165,201],"remove":[10],"various":[11],"rain":[12,103,170],"streaks":[13],"(raindrops)":[14],"from":[15],"rainy":[16,43,215],"images":[17],"and":[18,38,65,94,98,145,153,157,178,195,205,221,232],"restore":[19],"the":[20,62,84,143,167,219],"backgrounds.":[21],"Though":[22],"image":[23,48,85],"has":[25],"been":[26],"extensively":[27],"studied":[28],"in":[29],"recent":[30],"years,":[31],"few":[32],"methods":[33,50,72],"are":[34,51,73],"able":[35],"effectively":[37],"efficiently":[39,202],"derain":[40,79],"real-world":[41,121],"high-resolution":[42,59,80,122,213],"images.":[44,60,81,123],"In":[45,105,172],"general,":[46],"existing":[47,69],"restricted":[52],"by":[53],"two":[54],"main":[55],"factors":[56],"while":[57,136],"processing":[58],"First,":[61],"computational":[63,139],"complexity":[64],"memory":[66],"usage":[67],"of":[68,169,223],"deep":[70],"learning-based":[71],"high":[74],"when":[75],"it":[76,88],"comes":[77],"Second,":[82],"as":[83],"resolution":[86],"increases,":[87],"difficult":[90],"simultaneously":[92],"extract":[93,151],"aggregate":[95,203],"both":[96],"global":[97,152,160,177,204],"local":[99,154,163,179,206],"features":[100,161,164],"for":[101,119,174],"clean":[102],"removal.":[104],"this":[106],"paper,":[107],"we":[108,181],"propose":[109,183],"novel":[111],"network,":[112],"called":[113],"Global-Local":[114],"Grafting":[115,185],"Fusion":[116,186,198],"Network":[117],"(GLGFN),":[118],"Our":[124],"GLGFN":[125],"utilizes":[126],"staggered":[128],"connection":[129],"structure":[130],"achieve":[132],"deeper":[133],"sampling":[134],"depth":[135],"maintaining":[137],"low":[138],"cost.":[140],"It":[141],"adopts":[142,190],"Transformer":[144],"CNN":[146],"based":[147],"encoders":[148],"(backbones)":[149],"features,":[155,180],"respectively,":[156],"then":[158],"grafts":[159],"into":[162],"guide":[166],"extraction":[168],"streaks.":[171],"addition,":[173],"well":[175],"fusing":[176],"also":[182],"Module":[187],"(GFM),":[188],"Cross":[191],"Sparse":[192],"Attention":[193],"(CSA)":[194],"Selective":[196],"Kernel":[197],"(SK":[199],"Fusion)":[200],"features.":[207],"Extensive":[208],"experiments":[209],"conducted":[210],"on":[211],"several":[212],"real":[214],"datasets":[216],"have":[217],"demonstrated":[218],"effectiveness":[220],"efficiency":[222],"our":[224,230],"proposed":[225],"GLGFN.":[226],"We":[227],"will":[228],"release":[229],"code":[231],"dataset.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
