{"id":"https://openalex.org/W4319336138","doi":"https://doi.org/10.1109/wacvw58289.2023.00008","title":"Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data","display_name":"Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319336138","doi":"https://doi.org/10.1109/wacvw58289.2023.00008"},"language":"en","primary_location":{"id":"doi:10.1109/wacvw58289.2023.00008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacvw58289.2023.00008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)","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/A5004312722","display_name":"Arthur Josi","orcid":"https://orcid.org/0000-0002-4362-4898"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Arthur Josi","raw_affiliation_strings":["ETS Montreal,Laboratoire d&#x0027;imagerie, de vision et d&#x0027;intelligence artificielle (LIVIA),Dept. of Systems Engineering,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETS Montreal,Laboratoire d&#x0027;imagerie, de vision et d&#x0027;intelligence artificielle (LIVIA),Dept. of Systems Engineering,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024746467","display_name":"Mahdi Alehdaghi","orcid":"https://orcid.org/0000-0001-6258-8362"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mahdi Alehdaghi","raw_affiliation_strings":["ETS Montreal,Laboratoire d&#x0027;imagerie, de vision et d&#x0027;intelligence artificielle (LIVIA),Dept. of Systems Engineering,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETS Montreal,Laboratoire d&#x0027;imagerie, de vision et d&#x0027;intelligence artificielle (LIVIA),Dept. of Systems Engineering,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019553116","display_name":"Rafael M. O. Cruz","orcid":"https://orcid.org/0000-0001-9446-1040"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rafael M. O. Cruz","raw_affiliation_strings":["ETS Montreal,Laboratoire d&#x0027;imagerie, de vision et d&#x0027;intelligence artificielle (LIVIA),Dept. of Systems Engineering,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETS Montreal,Laboratoire d&#x0027;imagerie, de vision et d&#x0027;intelligence artificielle (LIVIA),Dept. of Systems Engineering,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006937759","display_name":"\u00c9ric Granger","orcid":"https://orcid.org/0000-0001-6116-7945"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eric Granger","raw_affiliation_strings":["ETS Montreal,Laboratoire d&#x0027;imagerie, de vision et d&#x0027;intelligence artificielle (LIVIA),Dept. of Systems Engineering,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETS Montreal,Laboratoire d&#x0027;imagerie, de vision et d&#x0027;intelligence artificielle (LIVIA),Dept. of Systems Engineering,Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004312722"],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":2.7839,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.9218365,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973999857902527,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.988099992275238,"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.8085892200469971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7571166753768921},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.7424043416976929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7133756279945374},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5838277339935303},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.51841139793396},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4973814785480499},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4759086072444916},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4528830349445343},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.44619446992874146},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.42683202028274536},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41361454129219055},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3379482626914978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06989037990570068}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.8085892200469971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7571166753768921},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.7424043416976929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7133756279945374},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5838277339935303},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.51841139793396},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4973814785480499},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4759086072444916},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4528830349445343},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.44619446992874146},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.42683202028274536},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41361454129219055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3379482626914978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06989037990570068},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacvw58289.2023.00008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacvw58289.2023.00008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:26288","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/26288/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8199999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W2092264651","https://openalex.org/W2108598243","https://openalex.org/W2141125852","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2596603442","https://openalex.org/W2598634450","https://openalex.org/W2619383789","https://openalex.org/W2777534232","https://openalex.org/W2896681474","https://openalex.org/W2898143381","https://openalex.org/W2913527057","https://openalex.org/W2924114011","https://openalex.org/W2944165510","https://openalex.org/W2948210185","https://openalex.org/W2951940613","https://openalex.org/W2954773727","https://openalex.org/W2954996726","https://openalex.org/W2962923976","https://openalex.org/W2967515867","https://openalex.org/W2970390221","https://openalex.org/W2982683705","https://openalex.org/W2984145721","https://openalex.org/W2985033611","https://openalex.org/W2994088087","https://openalex.org/W2996695408","https://openalex.org/W2998508940","https://openalex.org/W2998792609","https://openalex.org/W3014571942","https://openalex.org/W3016094026","https://openalex.org/W3034408878","https://openalex.org/W3034494316","https://openalex.org/W3035160371","https://openalex.org/W3037492894","https://openalex.org/W3045524274","https://openalex.org/W3089044119","https://openalex.org/W3105077954","https://openalex.org/W3105983073","https://openalex.org/W3112864462","https://openalex.org/W3116074996","https://openalex.org/W3117450517","https://openalex.org/W3118212025","https://openalex.org/W3122006793","https://openalex.org/W3159196909","https://openalex.org/W3193305989","https://openalex.org/W3202788649","https://openalex.org/W3207556002","https://openalex.org/W4212841753","https://openalex.org/W4214736485","https://openalex.org/W4283075937","https://openalex.org/W4288281368","https://openalex.org/W4288404646","https://openalex.org/W4289293306","https://openalex.org/W4312936309","https://openalex.org/W4320002812","https://openalex.org/W4321231180","https://openalex.org/W6753695549","https://openalex.org/W6756223733","https://openalex.org/W6757555829","https://openalex.org/W6766313662","https://openalex.org/W6770979763","https://openalex.org/W6786051229","https://openalex.org/W6787666870","https://openalex.org/W6788071488","https://openalex.org/W6788843850","https://openalex.org/W6802896474","https://openalex.org/W6839021834"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"The":[0,180],"re-identification":[1],"(ReID)":[2],"of":[3,9,115,120,156,174,182,202,211],"individuals":[4,34],"over":[5],"a":[6,12,90],"complex":[7],"network":[8],"cameras":[10],"is":[11,94,141,168,197],"challenging":[13],"task,":[14],"especially":[15],"under":[16],"real-world":[17],"surveillance":[18],"conditions.":[19],"Several":[20],"deep":[21,121],"learning":[22],"models":[23,186,224,239],"have":[24,71],"been":[25,72],"proposed":[26,95,193],"for":[27,83,171,187],"visible-infrared":[28],"(V-I)":[29],"person":[30,85,122,189],"ReID":[31,123,190,223],"to":[32,74,96,111,144,161,227],"recognize":[33],"from":[35],"images":[36,52],"captured":[37,53],"using":[38,191,218],"RGB":[39,49],"and":[40,50,62,105,129,148,177,206,213,231],"IR":[41,51],"cameras.":[42],"However,":[43],"performance":[44],"may":[45,126],"decline":[46],"considerably":[47],"if":[48],"at":[54],"test":[55],"time":[56],"are":[57,80],"corrupted":[58,200],"(e.g.,":[59],"noise,":[60],"blur,":[61],"weather":[63],"conditions).":[64],"Although":[65],"various":[66],"data":[67],"augmentation":[68],"(DA)":[69],"methods":[70],"explored":[73,170],"improve":[75],"the":[76,103,113,118,159,163,192,203,225],"generalization":[77,150],"capacity,":[78],"these":[79],"not":[81],"adapted":[82],"V-I":[84,188,222],"ReID.":[86],"In":[87],"this":[88,98,108],"paper,":[89],"specialized":[91],"DA":[92,139,167,195],"strategy":[93,109,140,196,220],"address":[97],"multimodal":[99,138,194],"setting.":[100],"Given":[101],"both":[102,229],"V":[104],"I":[106],"modalities,":[107],"allows":[110],"diminish":[112],"impact":[114,181],"corruption":[116],"on":[117,199],"accuracy":[119],"models.":[124],"Corruption":[125],"be":[127],"modality-specific,":[128],"an":[130],"additional":[131],"modality":[132,146,233],"often":[133],"provides":[134,221],"complementary":[135],"information.":[136],"Our":[137],"designed":[142],"specifically":[143],"encourage":[145],"collaboration":[147],"reinforce":[149],"capability.":[151],"For":[152],"instance,":[153],"punctual":[154],"masking":[155],"modalities":[157],"forces":[158],"model":[160],"select":[162],"informative":[164],"modality.":[165],"Local":[166],"also":[169],"advanced":[172],"selection":[173],"features":[175],"within":[176],"among":[178],"modalities.":[179],"training":[183],"baseline":[184],"fusion":[185],"assessed":[198],"versions":[201],"SYSUMM01,":[204],"RegDB,":[205],"ThermalWORLD":[207],"datasets":[208],"in":[209],"terms":[210],"complexity":[212],"efficiency.":[214],"Results":[215],"indicate":[216],"that":[217],"our":[219],"ability":[226],"exploit":[228],"shared":[230],"individual":[232],"knowledge":[234],"so":[235],"they":[236],"can":[237],"out-perform":[238],"trained":[240],"with":[241],"no":[242],"or":[243],"unimodal":[244],"DA.":[245],"GitHub":[246],"code:":[247],"https://github.com/art2611/ML-MDA.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
