{"id":"https://openalex.org/W4403488576","doi":"https://doi.org/10.3233/faia240542","title":"Night-to-Day: Unpaired Image-to-Image Translation for Nighttime Pedestrian Detection","display_name":"Night-to-Day: Unpaired Image-to-Image Translation for Nighttime Pedestrian Detection","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403488576","doi":"https://doi.org/10.3233/faia240542"},"language":"en","primary_location":{"id":"doi:10.3233/faia240542","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240542","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240542","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240542","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007109508","display_name":"Afnan Althoupety","orcid":null},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]},{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA","US"],"is_corresponding":true,"raw_author_name":"Afnan Althoupety","raw_affiliation_strings":["Portland State University, Portland, USA","Taif University, Taif, KSA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University, Portland, USA","institution_ids":["https://openalex.org/I126345244"]},{"raw_affiliation_string":"Taif University, Taif, KSA","institution_ids":["https://openalex.org/I179331831"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760596","display_name":"Liyun Wang","orcid":"https://orcid.org/0000-0003-4288-2569"},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li-Yun Wang","raw_affiliation_strings":["Portland State University, Portland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University, Portland, USA","institution_ids":["https://openalex.org/I126345244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100859961","display_name":"Wu\u2010chi Feng","orcid":"https://orcid.org/0000-0002-5267-8281"},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wu-Chi Feng","raw_affiliation_strings":["Portland State University, Portland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University, Portland, USA","institution_ids":["https://openalex.org/I126345244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028317680","display_name":"Banafsheh Rekabdar","orcid":null},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Banafsheh Rekabdar","raw_affiliation_strings":["Portland State University, Portland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University, Portland, USA","institution_ids":["https://openalex.org/I126345244"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007109508"],"corresponding_institution_ids":["https://openalex.org/I126345244","https://openalex.org/I179331831"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37734827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.994700014591217,"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":0.9902999997138977,"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/translation","display_name":"Translation (biology)","score":0.6673141121864319},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6375067234039307},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.4874603748321533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4573305547237396},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.4538593888282776},{"id":"https://openalex.org/keywords/day-to-day","display_name":"Day to day","score":0.4436016082763672},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4365411102771759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38634419441223145},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.26738181710243225},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14897555112838745},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1049673855304718},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.05775323510169983}],"concepts":[{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6673141121864319},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6375067234039307},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.4874603748321533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4573305547237396},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.4538593888282776},{"id":"https://openalex.org/C2992982683","wikidata":"https://www.wikidata.org/wiki/Q5242987","display_name":"Day to day","level":2,"score":0.4436016082763672},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4365411102771759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38634419441223145},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.26738181710243225},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14897555112838745},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1049673855304718},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.05775323510169983},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia240542","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240542","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240542","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia240542","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240542","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240542","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403488576.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1921523184","https://openalex.org/W2020986297","https://openalex.org/W2125389028","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2405756170","https://openalex.org/W2565639579","https://openalex.org/W2587706859","https://openalex.org/W2593414223","https://openalex.org/W2798729263","https://openalex.org/W2803740064","https://openalex.org/W2891158090","https://openalex.org/W2894820835","https://openalex.org/W2895451584","https://openalex.org/W2903141607","https://openalex.org/W2962793481","https://openalex.org/W2963017889","https://openalex.org/W2963073614","https://openalex.org/W2963344645","https://openalex.org/W2963444790","https://openalex.org/W2963470893","https://openalex.org/W2964121592","https://openalex.org/W2969121634","https://openalex.org/W2970929725","https://openalex.org/W2982770724","https://openalex.org/W2982795046","https://openalex.org/W2990075400","https://openalex.org/W2998823187","https://openalex.org/W3007827672","https://openalex.org/W3035484352","https://openalex.org/W3035564946","https://openalex.org/W3121661546","https://openalex.org/W3202329597","https://openalex.org/W3211296466","https://openalex.org/W4296979096","https://openalex.org/W4317738891","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4288069866","https://openalex.org/W3166978923","https://openalex.org/W4389232935","https://openalex.org/W2986947168","https://openalex.org/W2904276469","https://openalex.org/W3109545856","https://openalex.org/W2971888217","https://openalex.org/W3155045749","https://openalex.org/W4213477128","https://openalex.org/W3101578490"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,51,88],"show":[4,112],"that":[5,73,130,139],"exploiting":[6],"Generative":[7],"Adversarial":[8],"Networks":[9],"(GANs)":[10],"to":[11,36,43,58],"transform":[12],"nighttime":[13,44],"images":[14,42,45,61,78],"into":[15,69],"daytime":[16,41,77],"representation":[17],"increases":[18],"the":[19,33,38,82,106,124,143],"robustness":[20],"of":[21,84,153],"pedestrian":[22,94],"detection":[23,115],"in":[24,108,141],"low-light":[25],"conditions.":[26],"Our":[27,103],"work":[28],"aims":[29],"at":[30,150],"first":[31,137],"learning":[32],"image":[34],"translation":[35,86],"transfer":[37],"style":[39],"from":[40],"with":[46,118,158],"unpaired":[47],"GAN":[48,56],"training.":[49],"Second,":[50],"use":[52],"our":[53,85,131],"end-to-end":[54],"trained":[55],"model":[57],"translate":[59],"night":[60,149,160],"as":[62],"a":[63],"pre-processing":[64,136],"step":[65,138],"before":[66],"feeding":[67],"them":[68],"an":[70,134],"object":[71,101,155],"detector":[72,156],"is":[74,133],"pre-trained":[75],"on":[76,91],"only.":[79],"To":[80],"demonstrate":[81],"effectiveness":[83],"approach,":[87],"conducted":[89],"experiments":[90,110],"two":[92],"real-world":[93],"datasets":[95],"using":[96],"both":[97],"one-stage":[98],"and":[99,111,148],"two-stage":[100],"detectors.":[102],"results":[104],"outperform":[105],"baseline":[107],"all":[109],"highly":[113],"competitive":[114],"performance":[116,144],"compared":[117],"other":[119],"GAN-based":[120],"approaches":[121],"while":[122],"holding":[123],"most":[125],"lightweight":[126],"architecture.":[127],"We":[128],"believe":[129],"approach":[132],"effective":[135],"helps":[140],"bridging":[142],"gap":[145],"between":[146],"day":[147],"no":[151],"expense":[152],"re-training":[154],"networks":[157],"more":[159],"images.":[161]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}