{"id":"https://openalex.org/W4416750456","doi":"https://doi.org/10.1109/iros60139.2025.11247139","title":"EdgeSR: Reparameterization-Driven Fast Thermal Super-Resolution for Edge Electro-Optical Device","display_name":"EdgeSR: Reparameterization-Driven Fast Thermal Super-Resolution for Edge Electro-Optical Device","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416750456","doi":"https://doi.org/10.1109/iros60139.2025.11247139"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11247139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5105268108","display_name":"Changhong Fu","orcid":"https://orcid.org/0000-0002-9897-6022"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changhong Fu","raw_affiliation_strings":["Tongji University,School of Mechanical Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Mechanical Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112938890","display_name":"Ziyu Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Lu","raw_affiliation_strings":["Tongji University,School of Mechanical Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Mechanical Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415401","display_name":"Mengyuan Li","orcid":"https://orcid.org/0000-0002-9135-0641"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyuan Li","raw_affiliation_strings":["Tongji University,School of Mechanical Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Mechanical Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016609179","display_name":"Zijie Zhang","orcid":"https://orcid.org/0009-0005-4410-5925"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijie Zhang","raw_affiliation_strings":["Tongji University,School of Mechanical Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Mechanical Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064430477","display_name":"Haobo Zuo","orcid":"https://orcid.org/0000-0002-1092-9716"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haobo Zuo","raw_affiliation_strings":["University of Hong Kong,Department of Computer Science,Hong Kong,China,999077"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong,Department of Computer Science,Hong Kong,China,999077","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5105268108"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31800855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13568","last_page":"13575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11128","display_name":"Transition Metal Oxide Nanomaterials","score":0.2312999963760376,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11128","display_name":"Transition Metal Oxide Nanomaterials","score":0.2312999963760376,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10851","display_name":"Optical Wireless Communication Technologies","score":0.14810000360012054,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.13899999856948853,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7555000185966492},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6830999851226807},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.6557999849319458},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6276999711990356},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5622000098228455},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4832000136375427}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7555000185966492},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6830999851226807},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.6557999849319458},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6276999711990356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5684000253677368},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5622000098228455},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4832000136375427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40860000252723694},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.39340001344680786},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.35339999198913574},{"id":"https://openalex.org/C2779570065","wikidata":"https://www.wikidata.org/wiki/Q1754137","display_name":"Leading edge","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.3231000006198883},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3091000020503998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3077000081539154},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2989000082015991},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.287200003862381},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2818000018596649},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11247139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"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":21,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2086378282","https://openalex.org/W2133665775","https://openalex.org/W2214802144","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2531409750","https://openalex.org/W2607041014","https://openalex.org/W2866634454","https://openalex.org/W3036638924","https://openalex.org/W3155072588","https://openalex.org/W3167976421","https://openalex.org/W3171038842","https://openalex.org/W3193148745","https://openalex.org/W3206130237","https://openalex.org/W3207673409","https://openalex.org/W3207918547","https://openalex.org/W4312668764","https://openalex.org/W4386071519","https://openalex.org/W4402952320","https://openalex.org/W4405787272"],"related_works":[],"abstract_inverted_index":{"Super-resolution":[0],"(SR)":[1],"can":[2],"greatly":[3],"promote":[4],"the":[5,70,73,76,95,102],"development":[6],"of":[7,72,97,105],"edge":[8,28,50,126,169,180],"electro-optical":[9],"(EO)":[10],"devices.":[11,52,171],"However,":[12],"most":[13],"existing":[14],"SR":[15,46,139,157],"models":[16],"struggle":[17],"to":[18,60,93,115,154],"simultaneously":[19],"achieve":[20],"effective":[21],"thermal":[22,45,106,138],"reconstruction":[23,104,162],"and":[24,68,129,164,191],"real-time":[25,131],"inference":[26,166],"on":[27,140,148,168,179],"EO":[29,51,109,127,170,181],"devices":[30,128],"with":[31,88],"limited":[32],"computing":[33],"resources.":[34],"To":[35],"address":[36],"these":[37],"issues,":[38],"this":[39,149],"work":[40],"proposes":[41],"a":[42,134],"novel":[43],"fast":[44],"model":[47],"(EdgeSR)":[48],"for":[49,125,137,186],"Specifically,":[53],"reparameterized":[54],"scale-integrated":[55],"convolutions":[56,121],"(RepSConv)":[57],"are":[58,123],"proposed":[59],"deeply":[61],"explore":[62],"high-frequency":[63,87,98],"features,":[64,99],"incorporating":[65],"multi-scale":[66],"information":[67],"enhancing":[69],"scale-awareness":[71],"backbone":[74],"during":[75],"training":[77],"phase.":[78],"Furthermore,":[79],"an":[80],"inter-active":[81],"reparameterization":[82,111],"module":[83],"(IRM),":[84],"combining":[85],"historical":[86],"low-frequency":[89],"information,":[90],"is":[91,113,143,193],"introduced":[92],"guide":[94],"extraction":[96],"ultimately":[100],"boosting":[101],"high-quality":[103],"images.":[107],"Edge":[108],"deployment-oriented":[110],"(EEDR)":[112],"designed":[114],"reparameterize":[116],"all":[117],"modules":[118],"into":[119],"standard":[120],"that":[122],"hardware-friendly":[124],"onboard":[130],"inference.":[132],"Additionally,":[133],"new":[135],"benchmark":[136,150],"cityscapes":[141],"(CS-TSR)":[142],"built.":[144],"The":[145,189],"experimental":[146],"results":[147],"show":[151],"that,":[152],"compared":[153],"state-of-the-art":[155],"lightweight":[156],"networks,":[158],"EdgeSR":[159,175],"delivers":[160],"superior":[161],"quality":[163],"faster":[165],"speed":[167],"In":[172],"real-world":[173,187],"applications,":[174],"exhibits":[176],"robust":[177],"performance":[178],"devices,":[182],"making":[183],"it":[184],"suitable":[185],"deployment.":[188],"code":[190],"demo":[192],"available":[194],"at":[195],"https://github.com/vision4robotics/EdgeSR.":[196]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-28T00:00:00"}