{"id":"https://openalex.org/W4402351487","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650042","title":"Ship in Sight: Diffusion Models for Ship-Image Super Resolution","display_name":"Ship in Sight: Diffusion Models for Ship-Image Super Resolution","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351487","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650042"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5079219935","display_name":"Luigi Sigillo","orcid":"https://orcid.org/0000-0003-4013-0064"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Sigillo","raw_affiliation_strings":["Sapienza University of Rome,Dept. Information Engineering, Electronics and Telecommunications (DIET),Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Dept. Information Engineering, Electronics and Telecommunications (DIET),Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046834719","display_name":"Riccardo Fosco Gramaccioni","orcid":"https://orcid.org/0009-0003-1398-1880"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Riccardo Fosco Gramaccioni","raw_affiliation_strings":["Sapienza University of Rome,Dept. Information Engineering, Electronics and Telecommunications (DIET),Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Dept. Information Engineering, Electronics and Telecommunications (DIET),Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066746507","display_name":"Alessandro Nicolosi","orcid":"https://orcid.org/0009-0007-5071-5687"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alessandro Nicolosi","raw_affiliation_strings":["Leonardo Labs,Rome,Italy,00156"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leonardo Labs,Rome,Italy,00156","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019647783","display_name":"Danilo Comminiello","orcid":"https://orcid.org/0000-0003-4067-4504"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Danilo Comminiello","raw_affiliation_strings":["Sapienza University of Rome,Dept. Information Engineering, Electronics and Telecommunications (DIET),Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Dept. Information Engineering, Electronics and Telecommunications (DIET),Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5776,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87720529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9940999746322632,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9623000025749207,"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/diffusion","display_name":"Diffusion","score":0.5645354986190796},{"id":"https://openalex.org/keywords/sight","display_name":"Sight","score":0.5491927266120911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5178225636482239},{"id":"https://openalex.org/keywords/marine-engineering","display_name":"Marine engineering","score":0.4446224570274353},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4434041380882263},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4128461480140686},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.41270118951797485},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3645628094673157},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3308965265750885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30890339612960815},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.1967012584209442},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17744892835617065},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15002700686454773}],"concepts":[{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5645354986190796},{"id":"https://openalex.org/C1517167","wikidata":"https://www.wikidata.org/wiki/Q1134322","display_name":"Sight","level":2,"score":0.5491927266120911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5178225636482239},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.4446224570274353},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4434041380882263},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4128461480140686},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.41270118951797485},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3645628094673157},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3308965265750885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30890339612960815},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.1967012584209442},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17744892835617065},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15002700686454773},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1723593","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1723593","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2251201217","https://openalex.org/W2592507559","https://openalex.org/W2771305881","https://openalex.org/W2808360995","https://openalex.org/W2866634454","https://openalex.org/W2885291434","https://openalex.org/W2892214533","https://openalex.org/W2952773607","https://openalex.org/W2963470893","https://openalex.org/W2963814095","https://openalex.org/W2963917315","https://openalex.org/W2987692455","https://openalex.org/W2990138404","https://openalex.org/W3009977275","https://openalex.org/W3013529009","https://openalex.org/W3034352949","https://openalex.org/W3085536450","https://openalex.org/W3104724358","https://openalex.org/W3138516171","https://openalex.org/W3155072588","https://openalex.org/W3167297682","https://openalex.org/W3204971388","https://openalex.org/W3205399766","https://openalex.org/W3207918547","https://openalex.org/W4225672218","https://openalex.org/W4226014430","https://openalex.org/W4312933868","https://openalex.org/W4313142698","https://openalex.org/W4383472654","https://openalex.org/W4385079937","https://openalex.org/W4386076325","https://openalex.org/W4386076368","https://openalex.org/W4387870939","https://openalex.org/W4389610328","https://openalex.org/W4400524387","https://openalex.org/W6679045638","https://openalex.org/W6755312952","https://openalex.org/W6783713337","https://openalex.org/W6784333009","https://openalex.org/W6785342844","https://openalex.org/W6791353385","https://openalex.org/W6795288823","https://openalex.org/W6803078664","https://openalex.org/W6810940779","https://openalex.org/W6838639034"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2142226356","https://openalex.org/W3210000161","https://openalex.org/W3103111272"],"abstract_inverted_index":{"In":[0,54,103],"recent":[1],"years,":[2],"remarkable":[3],"advancements":[4],"have":[5,100],"been":[6],"achieved":[7],"in":[8,60,86,207],"the":[9,17,42,49,62,79,83,93,122,126,129,132,136,142,183,220],"field":[10],"of":[11,44,51,64,92,125,131,138,145,219],"image":[12,25,66],"generation,":[13],"primarily":[14],"driven":[15],"by":[16,82,182],"escalating":[18],"demand":[19],"for":[20,72,177,226],"high-quality":[21],"outcomes":[22],"across":[23],"various":[24],"generation":[26,130],"subtasks,":[27],"such":[28,97,197],"as":[29,180,198],"inpainting,":[30],"denoising,":[31],"and":[32,74,141,200,216],"super":[33,67,178],"resolution.":[34],"A":[35],"major":[36],"effort":[37],"is":[38,70,231],"devoted":[39],"to":[40,47,119],"exploring":[41],"application":[43],"super-resolution":[45],"techniques":[46],"enhance":[48],"quality":[50],"low-resolution":[52],"images.":[53],"this":[55,139,191],"context,":[56],"our":[57],"method":[58,165],"explores":[59],"depth":[61],"problem":[63],"ship":[65,154,159],"resolution,":[68,179],"which":[69],"crucial":[71,123],"coastal":[73],"port":[75],"surveillance.":[76],"We":[77],"investigate":[78,189],"opportunity":[80],"given":[81],"growing":[84],"interest":[85],"text-to-image":[87],"diffusion":[88],"models,":[89],"taking":[90],"advantage":[91],"prior":[94],"knowledge":[95],"that":[96,110],"foundation":[98],"models":[99,174],"already":[101],"learned.":[102],"particular,":[104],"we":[105,148,188],"present":[106],"a":[107,151,208],"diffusion-model-based":[108],"architecture":[109],"leverages":[111],"text":[112],"conditioning":[113],"during":[114,128],"training":[115],"while":[116],"being":[117],"class-aware,":[118],"best":[120],"preserve":[121],"details":[124],"ships":[127],"super-resoluted":[133],"image.":[134],"Since":[135],"specificity":[137],"task":[140],"scarcity":[143],"availability":[144],"off-the-shelf":[146],"data,":[147],"also":[149],"introduce":[150],"large":[152],"labeled":[153],"dataset":[155],"scraped":[156],"from":[157,162],"online":[158],"images,":[160],"mostly":[161],"ShipSpotting1website.":[163],"Our":[164],"achieves":[166],"more":[167],"robust":[168],"results":[169,212],"than":[170],"other":[171],"deep":[172],"learning":[173],"previously":[175],"employed":[176],"proven":[181],"multiple":[184],"experiments":[185],"performed.":[186],"Moreover,":[187],"how":[190],"model":[192],"can":[193],"benefit":[194],"downstream":[195],"tasks,":[196],"classification":[199],"object":[201],"detection,":[202],"thus":[203],"emphasizing":[204],"practical":[205],"implementation":[206],"real-world":[209],"scenario.":[210],"Experimental":[211],"show":[213],"flexibility,":[214],"reliability,":[215],"impressive":[217],"performance":[218],"proposed":[221],"framework":[222],"over":[223],"state-of-the-art":[224],"methods":[225],"different":[227],"tasks.":[228],"The":[229],"code":[230],"available":[232],"at:":[233],"https://github.com/LuigiSigillo/ShipinSight":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
