{"id":"https://openalex.org/W7131245761","doi":"https://doi.org/10.1109/vcip67698.2025.11396904","title":"MFG-CRT: Multi-Feature Guided Cross-Refinement Transformer for RGB-Guided Thermal Image Super-Resolution","display_name":"MFG-CRT: Multi-Feature Guided Cross-Refinement Transformer for RGB-Guided Thermal Image Super-Resolution","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7131245761","doi":"https://doi.org/10.1109/vcip67698.2025.11396904"},"language":null,"primary_location":{"id":"doi:10.1109/vcip67698.2025.11396904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","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/A5110936639","display_name":"Dogun Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143937","display_name":"Hanwha Solutions (South Korea)","ror":"https://ror.org/05dmq6f22","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210143937","https://openalex.org/I4403386467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dogun Kim","raw_affiliation_strings":["Hanwha Systems,Seoul,Republic of Korea,04541"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanwha Systems,Seoul,Republic of Korea,04541","institution_ids":["https://openalex.org/I4210143937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126284805","display_name":"J. Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143937","display_name":"Hanwha Solutions (South Korea)","ror":"https://ror.org/05dmq6f22","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210143937","https://openalex.org/I4403386467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Kim","raw_affiliation_strings":["Hanwha Systems,Seoul,Republic of Korea,04541"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanwha Systems,Seoul,Republic of Korea,04541","institution_ids":["https://openalex.org/I4210143937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007397622","display_name":"Dongyeon Kang","orcid":"https://orcid.org/0000-0003-2720-5834"},"institutions":[{"id":"https://openalex.org/I4210143937","display_name":"Hanwha Solutions (South Korea)","ror":"https://ror.org/05dmq6f22","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210143937","https://openalex.org/I4403386467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongyeon Kang","raw_affiliation_strings":["Hanwha Systems,Seoul,Republic of Korea,04541"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanwha Systems,Seoul,Republic of Korea,04541","institution_ids":["https://openalex.org/I4210143937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210143937"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78787934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.14090000092983246,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.14090000092983246,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.13529999554157257,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.13510000705718994,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/thermal","display_name":"Thermal","score":0.6528000235557556},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.5016999840736389},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4377000033855438},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.38350000977516174},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.3808000087738037},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.3749000132083893},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.3228999972343445}],"concepts":[{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.6528000235557556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.621999979019165},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.5016999840736389},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4377000033855438},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4097000062465668},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3953999876976013},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.38350000977516174},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37630000710487366},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30970001220703125},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30630001425743103},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C72293138","wikidata":"https://www.wikidata.org/wiki/Q909741","display_name":"Temperature measurement","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2524999976158142},{"id":"https://openalex.org/C2779222261","wikidata":"https://www.wikidata.org/wiki/Q624587","display_name":"Thermography","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip67698.2025.11396904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7869151830673218,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W567896383","https://openalex.org/W1885185971","https://openalex.org/W2028320580","https://openalex.org/W2242218935","https://openalex.org/W2560923441","https://openalex.org/W2887695188","https://openalex.org/W2905727092","https://openalex.org/W2945100619","https://openalex.org/W2967443669","https://openalex.org/W3012157858","https://openalex.org/W3046441667","https://openalex.org/W3088103684","https://openalex.org/W3152576252","https://openalex.org/W3163720395","https://openalex.org/W3178086535","https://openalex.org/W3207402943","https://openalex.org/W3207673409","https://openalex.org/W4206706211","https://openalex.org/W4224278757","https://openalex.org/W4285620913","https://openalex.org/W4292794785","https://openalex.org/W4306174033","https://openalex.org/W4308535788","https://openalex.org/W4320036619","https://openalex.org/W4360887305","https://openalex.org/W4385486427","https://openalex.org/W4385801315","https://openalex.org/W4385815575","https://openalex.org/W4390872856","https://openalex.org/W4402904018","https://openalex.org/W4402915765","https://openalex.org/W4402916246","https://openalex.org/W4402916444"],"related_works":[],"abstract_inverted_index":{"Thermal":[0,74],"cameras":[1],"are":[2],"essential":[3],"in":[4,19,69,97],"applications":[5],"such":[6],"as":[7],"surveillance,":[8],"search,":[9],"and":[10,22,55,66,77,87,106,117],"rescue":[11],"due":[12],"to":[13,16],"their":[14,35],"ability":[15],"operate":[17],"effectively":[18,82],"complete":[20],"darkness":[21],"adverse":[23],"weather":[24],"conditions.":[25],"However,":[26],"the":[27],"lower":[28],"resolution":[29,65],"of":[30],"thermal":[31,56,70,99],"images":[32],"often":[33],"limits":[34],"effectiveness.":[36],"To":[37],"address":[38],"this,":[39],"we":[40],"propose":[41],"multi-feature":[42],"guided":[43],"cross-refinement":[44],"transformer":[45],"(MFG-CRT),":[46],"a":[47,59,73,112],"novel":[48],"RGB-guided":[49,98],"super-resolution":[50,100],"architecture":[51],"that":[52],"integrates":[53],"RGB":[54],"information":[57],"through":[58],"Multi-Feature":[60],"Guide":[61],"framework,":[62],"improving":[63],"both":[64],"detail":[67,85],"retention":[68],"images.":[71],"Leveraging":[72],"Feature":[75],"Extractor":[76],"Guided":[78],"Upsampling":[79],"Structure,":[80],"MFG-CRT":[81],"balances":[83],"high-frequency":[84],"preservation":[86],"global":[88],"context":[89],"integration.":[90],"Our":[91],"lightweight":[92],"model":[93],"achieves":[94],"notable":[95],"performance":[96],"tasks,":[101],"offering":[102],"low":[103,107],"inference":[104],"time":[105],"memory":[108],"usage":[109],"while":[110],"maintaining":[111],"strong":[113],"trade-off":[114],"between":[115],"efficiency":[116],"accuracy.":[118],"Optimized":[119],"for":[120,126],"resource-constrained":[121],"environments,":[122],"it":[123],"is":[124],"suitable":[125],"on-device":[127],"applications.":[128]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-25T00:00:00"}
