{"id":"https://openalex.org/W4401870923","doi":"https://doi.org/10.1109/tits.2024.3441628","title":"Illumination Distribution-Aware Thermal Pedestrian Detection","display_name":"Illumination Distribution-Aware Thermal Pedestrian Detection","publication_year":2024,"publication_date":"2024-08-20","ids":{"openalex":"https://openalex.org/W4401870923","doi":"https://doi.org/10.1109/tits.2024.3441628"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3441628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3441628","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5100713505","display_name":"Songtao Li","orcid":"https://orcid.org/0000-0002-0903-8801"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songtao Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682790","display_name":"Mao Ye","orcid":"https://orcid.org/0000-0003-4760-8702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Ye","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4760-8702","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036253906","display_name":"Luping Ji","orcid":"https://orcid.org/0000-0002-1200-5218"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luping Ji","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-1200-5218","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035419332","display_name":"Song Tang","orcid":"https://orcid.org/0000-0003-2635-1872"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Tang","raw_affiliation_strings":["Institute of Machine Intelligence (IMI), University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2635-1872","affiliations":[{"raw_affiliation_string":"Institute of Machine Intelligence (IMI), University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074972722","display_name":"Yan Gan","orcid":"https://orcid.org/0000-0002-6716-0039"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Gan","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-6716-0039","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028643592","display_name":"Xiatian Zhu","orcid":"https://orcid.org/0000-0002-9284-2955"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiatian Zhu","raw_affiliation_strings":["Surrey Institute for People-Centred Artificial Intelligence, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Surrey Institute for People-Centred Artificial Intelligence, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5311,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83980074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"25","issue":"11","first_page":"18688","last_page":"18700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9879999756813049,"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":0.9879999756813049,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9552000164985657,"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/pedestrian","display_name":"Pedestrian","score":0.7091113924980164},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.6956523060798645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46016570925712585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3346331715583801},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2530601918697357},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2264837622642517}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7091113924980164},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6956523060798645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46016570925712585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3346331715583801},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2530601918697357},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2264837622642517}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3441628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3441628","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G2477231440","display_name":null,"funder_award_id":"62276048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5187713301","display_name":null,"funder_award_id":"GZC20233323","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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":62,"referenced_works":["https://openalex.org/W1475617732","https://openalex.org/W1910108985","https://openalex.org/W2031454541","https://openalex.org/W2194775991","https://openalex.org/W2291533986","https://openalex.org/W2565639579","https://openalex.org/W2604146181","https://openalex.org/W2608295741","https://openalex.org/W2741577003","https://openalex.org/W2743197123","https://openalex.org/W2767014298","https://openalex.org/W2792824754","https://openalex.org/W2799260437","https://openalex.org/W2887564556","https://openalex.org/W2895077992","https://openalex.org/W2902502320","https://openalex.org/W2929607865","https://openalex.org/W2933564790","https://openalex.org/W2942520659","https://openalex.org/W2947716874","https://openalex.org/W2963188557","https://openalex.org/W2963579094","https://openalex.org/W2964027659","https://openalex.org/W2964241181","https://openalex.org/W2965912241","https://openalex.org/W2970929725","https://openalex.org/W2971938076","https://openalex.org/W2979596232","https://openalex.org/W2981382337","https://openalex.org/W2987131085","https://openalex.org/W2990075400","https://openalex.org/W2999759184","https://openalex.org/W3025191651","https://openalex.org/W3090757175","https://openalex.org/W3098140381","https://openalex.org/W3104978563","https://openalex.org/W3154706820","https://openalex.org/W3160361512","https://openalex.org/W3164576087","https://openalex.org/W3168345120","https://openalex.org/W3202329597","https://openalex.org/W3205338196","https://openalex.org/W4200632941","https://openalex.org/W4210328444","https://openalex.org/W4210469683","https://openalex.org/W4224933794","https://openalex.org/W4283820844","https://openalex.org/W4288325606","https://openalex.org/W4293584584","https://openalex.org/W4304080855","https://openalex.org/W4322123798","https://openalex.org/W4323022579","https://openalex.org/W4367721788","https://openalex.org/W4381736820","https://openalex.org/W4386363015","https://openalex.org/W4386596864","https://openalex.org/W4387967872","https://openalex.org/W4390874575","https://openalex.org/W6620707391","https://openalex.org/W6750227808","https://openalex.org/W6753836424","https://openalex.org/W6963841193"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W2972620127","https://openalex.org/W2981141433"],"abstract_inverted_index":{"Pedestrian":[0],"detection":[1,29,34],"is":[2,10,35,100,232],"an":[3,12],"important":[4,13],"task":[5,154],"in":[6,27],"computer":[7],"vision,":[8],"which":[9,70,195],"also":[11],"part":[14],"of":[15,42,48,85],"intelligent":[16],"transportation":[17],"systems.":[18],"For":[19],"privacy":[20],"protection,":[21],"thermal":[22,32,110,140,175],"images":[23,49],"are":[24,55],"widely":[25],"used":[26],"pedestrian":[28,33],"problems.":[30],"However,":[31],"challenging":[36],"due":[37],"to":[38,57,65,101,113,170,173],"the":[39,46,74,103,122,166,174,191],"significant":[40],"effect":[41],"temperature":[43],"variation":[44],"on":[45,212,220],"illumination":[47,53,198],"and":[50,215,222],"that":[51,187],"fine-grained":[52],"annotations":[54],"difficult":[56],"be":[58,171],"acquired.":[59],"The":[60,97],"existing":[61],"methods":[62],"have":[63],"attempted":[64],"exploit":[66],"coarse-grained":[67],"day/night":[68],"labels,":[69],"however":[71],"even":[72],"hampers":[73],"model":[75,156,161],"performance.":[76],"In":[77],"this":[78,143,164],"work,":[79],"we":[80,119,146],"introduce":[81],"a":[82,109,133,149,160,202],"novel":[83],"idea":[84,99],"regressing":[86],"conditional":[87,104,134,150],"thermal-visible":[88,123],"feature":[89,106,124,129,168,182],"distribution,":[90],"dubbed":[91],"as":[92,159,201],"Illumination":[93],"Distribution-Aware":[94],"adaptation":[95],"(IDA).":[96],"key":[98],"predict":[102],"visible":[105,167],"distribution":[107,126,136,152],"given":[108,139],"image,":[111],"subject":[112],"their":[114],"pre-computed":[115],"joint":[116,125],"distribution.":[117],"Specifically,":[118],"first":[120],"estimate":[121],"by":[127],"constructing":[128],"co-occurrence":[130],"matrices,":[131],"offering":[132],"probability":[135,151],"for":[137,155,178,229],"any":[138],"image.":[141],"With":[142],"pairing":[144],"information,":[145],"then":[147],"form":[148],"regression":[153],"optimization.":[157],"Critically,":[158],"agnostic":[162],"strategy,":[163],"allows":[165],"knowledge":[169],"transferred":[172],"counterpart":[176],"implicitly":[177],"learning":[179],"more":[180],"discriminating":[181],"representation.":[183],"Experiment":[184],"results":[185],"show":[186],"our":[188,204],"method":[189,205],"outperforms":[190],"prior":[192],"art":[193],"methods,":[194],"use":[196],"extra":[197,227],"annotations.":[199],"Besides,":[200],"plug-in,":[203],"can":[206],"averagely":[207],"reduce":[208],"about":[209,217],"2%":[210],"MR":[211],"KAIST":[213],"dataset,":[214],"improve":[216],"1%":[218],"mAP":[219],"FLIR-aligned":[221],"Autonomous":[223],"Vehicles":[224],"datasets":[225],"without":[226],"calculation":[228],"test.":[230],"Code":[231],"available":[233],"at":[234],"<uri":[235],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[236],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/HaMeow-lst1/IDA</uri>.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
