{"id":"https://openalex.org/W4381786698","doi":"https://doi.org/10.1109/wf-iot54382.2022.10152113","title":"Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and Desnowing","display_name":"Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and Desnowing","publication_year":2022,"publication_date":"2022-10-26","ids":{"openalex":"https://openalex.org/W4381786698","doi":"https://doi.org/10.1109/wf-iot54382.2022.10152113"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot54382.2022.10152113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot54382.2022.10152113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","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/A5072856270","display_name":"Sotiris Karavarsamis","orcid":"https://orcid.org/0000-0002-5302-3711"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Sotiris Karavarsamis","raw_affiliation_strings":["ITI-CERTH,Thessaloniki,Greece","ITI-CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITI-CERTH,Thessaloniki,Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]},{"raw_affiliation_string":"ITI-CERTH, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065955200","display_name":"Alexandros Doumanoglou","orcid":"https://orcid.org/0000-0002-4337-1720"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Alexandros Doumanoglou","raw_affiliation_strings":["ITI-CERTH,Thessaloniki,Greece","ITI-CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITI-CERTH,Thessaloniki,Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]},{"raw_affiliation_string":"ITI-CERTH, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052551208","display_name":"Konstantinos Konstantoudakis","orcid":"https://orcid.org/0000-0001-5092-8796"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Konstantoudakis","raw_affiliation_strings":["ITI-CERTH,Thessaloniki,Greece","ITI-CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITI-CERTH,Thessaloniki,Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]},{"raw_affiliation_string":"ITI-CERTH, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059708050","display_name":"Dimitrios Zarpalas","orcid":"https://orcid.org/0000-0002-9649-9306"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Zarpalas","raw_affiliation_strings":["ITI-CERTH,Thessaloniki,Greece","ITI-CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITI-CERTH,Thessaloniki,Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]},{"raw_affiliation_string":"ITI-CERTH, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2031,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51397015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"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":0.9934999942779541,"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":0.9934999942779541,"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":0.9927999973297119,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9901999831199646,"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":0.8027469515800476},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6847864985466003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5342914462089539},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5247461795806885},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5047956705093384},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4614485800266266},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4179566502571106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4141135513782501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3931354284286499},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3628900647163391}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027469515800476},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6847864985466003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5342914462089539},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5247461795806885},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5047956705093384},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4614485800266266},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4179566502571106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4141135513782501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3931354284286499},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3628900647163391},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot54382.2022.10152113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot54382.2022.10152113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2951187577","https://openalex.org/W2352553236"],"abstract_inverted_index":{"We":[0],"present":[1],"the":[2,12,29,86,110,121,138,148,153,168,173,180,183,202,216],"Cross-stitched":[3],"Multi-task":[4],"Unified":[5],"Dual":[6,31],"Recursive":[7,32],"Network":[8,33],"(CMUDRN)":[9],"model":[10,26,43],"targeting":[11],"task":[13,83],"of":[14,46,74,98,112,152,172,182],"unified":[15,25],"deraining":[16,63,205],"and":[17,64,120,130,142,166,187,206],"desnowing":[18,207],"in":[19],"a":[20,103,229],"multi-task":[21,51],"learning":[22,52,84],"setting.":[23],"This":[24],"borrows":[27],"from":[28],"basic":[30,75],"(DRN)":[34],"architecture":[35],"developed":[36],"by":[37,127,222],"Cai":[38],"et":[39],"al.":[40],"The":[41,115,234],"proposed":[42,154],"makes":[44],"use":[45],"cross-stitch":[47,69],"units":[48,70],"that":[49,190],"enable":[50,92,159],"across":[53,162],"two":[54,87,139,217],"separate":[55,88,116],"DRN":[56,77,89,118,140,164,174,199],"models,":[57],"each":[58,113],"tasked":[59],"for":[60,215],"single":[61,203],"image":[62,94,169,204,213,219,225],"desnowing,":[65],"respectively.":[66],"By":[67],"fixing":[68],"at":[71,239],"several":[72],"layers":[73],"task-specific":[76,117,163,224],"networks,":[78],"we":[79,101,157],"perform":[80],"multi":[81],"-":[82],"over":[85],"models.":[90],"To":[91],"blind":[93,212],"restoration,":[95],"on":[96,137,147,201],"top":[97],"these":[99],"structures":[100],"employ":[102],"simple":[104],"neural":[105],"fusion":[106,122,150,232],"scheme":[107,123],"which":[108],"merges":[109],"output":[111],"DRN.":[114],"models":[119,165,200],"are":[124],"simultaneously":[125],"trained":[126],"enforcing":[128],"local":[129],"global":[131,143],"supervision.":[132],"Local":[133],"supervision":[134,144],"is":[135,145,193,237],"applied":[136,146],"submodules,":[141],"data":[149],"submodule":[151],"model.":[155],"Consequently,":[156],"both":[158],"feature":[160],"sharing":[161],"control":[167],"restoration":[170,214,220,226],"behavior":[171],"submodules.":[175],"An":[176],"ablation":[177],"study":[178],"shows":[179],"strength":[181],"hypothesized":[184],"CMUDRN":[185,210,235],"model,":[186],"experiments":[188],"indicate":[189],"its":[191],"performance":[192],"comparable":[194],"or":[195],"better":[196],"than":[197],"baseline":[198],"tasks.":[208],"Moreover,":[209],"enables":[211],"underlying":[218],"tasks,":[221],"unifying":[223],"pipelines":[227],"via":[228],"naive":[230],"parametric":[231],"scheme.":[233],"implementation":[236],"available":[238],"https://github.comNCL3D/CMUDRN.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
