{"id":"https://openalex.org/W4400908539","doi":"https://doi.org/10.1109/siu61531.2024.10600860","title":"Vision Transformers for Single Image Specular Highlight Detection","display_name":"Vision Transformers for Single Image Specular Highlight Detection","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908539","doi":"https://doi.org/10.1109/siu61531.2024.10600860"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10600860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","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/A5039367341","display_name":"Levent Karacan","orcid":"https://orcid.org/0000-0003-2764-5258"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Levent Karacan","raw_affiliation_strings":["Gaziantep &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;,Gaziantep,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Gaziantep &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;,Gaziantep,T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5039367341"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05573922,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9958999752998352,"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":0.9958999752998352,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9889000058174133,"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/T11666","display_name":"Color Science and Applications","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6865357160568237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6309047937393188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5977739095687866},{"id":"https://openalex.org/keywords/specular-reflection","display_name":"Specular reflection","score":0.586750864982605},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3503124415874481},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13858169317245483},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.060657382011413574}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6865357160568237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309047937393188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5977739095687866},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.586750864982605},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3503124415874481},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13858169317245483},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.060657382011413574}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu61531.2024.10600860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"Specular":[0],"highlight":[1,33],"detection":[2],"is":[3,64],"a":[4,20,26],"useful":[5],"task":[6],"influencing":[7],"applications":[8],"such":[9],"as":[10],"image":[11],"analysis":[12],"and":[13,46,63],"scene":[14],"understanding.":[15],"This":[16],"study":[17],"investigates":[18],"using":[19],"multi-scale":[21],"patch-based":[22,36],"selfattention":[23],"mechanism":[24],"in":[25],"deep":[27],"neural":[28],"network":[29],"model":[30],"for":[31],"specular":[32,61],"detection.":[34],"Multi-scale":[35],"self-attention":[37],"enhances":[38],"the":[39],"model\u2019s":[40],"ability":[41],"to":[42],"capture":[43],"intricate":[44],"patterns":[45],"global":[47],"dependencies.":[48],"The":[49],"proposed":[50],"method":[51],"produces":[52],"highly":[53,65],"accurate":[54],"results":[55],"on":[56],"real":[57],"images":[58],"with":[59,67],"complex":[60],"highlights":[62],"competitive":[66],"state-of-the-art":[68],"methods.":[69]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
