{"id":"https://openalex.org/W2981576453","doi":"https://doi.org/10.1145/3343031.3350994","title":"Illumination-Invariant Person Re-Identification","display_name":"Illumination-Invariant Person Re-Identification","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981576453","doi":"https://doi.org/10.1145/3343031.3350994","mag":"2981576453"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3350994","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","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/A5064698284","display_name":"Yukun Huang","orcid":"https://orcid.org/0000-0002-0280-2299"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yukun Huang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng-Jun Zha","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079007635","display_name":"Xueyang Fu","orcid":"https://orcid.org/0000-0001-8036-4071"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyang Fu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100756628","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-5556-3896"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064698284"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":4.5974,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.95888835,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"365","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9995999932289124,"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":0.995199978351593,"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/color-constancy","display_name":"Color constancy","score":0.8236054182052612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7651799917221069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7438094615936279},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7363830208778381},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.586365818977356},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5587796568870544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3461703658103943},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2819870412349701},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15016144514083862}],"concepts":[{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.8236054182052612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7651799917221069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7438094615936279},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7363830208778381},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.586365818977356},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5587796568870544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3461703658103943},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2819870412349701},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15016144514083862},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3350994","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1928419358","https://openalex.org/W2070784585","https://openalex.org/W2076205488","https://openalex.org/W2204750386","https://openalex.org/W2254039850","https://openalex.org/W2331128040","https://openalex.org/W2441160157","https://openalex.org/W2511791013","https://openalex.org/W2526833393","https://openalex.org/W2566376500","https://openalex.org/W2585635281","https://openalex.org/W2736410039","https://openalex.org/W2768610172","https://openalex.org/W2779176852","https://openalex.org/W2788162446","https://openalex.org/W2799107345","https://openalex.org/W2807957650","https://openalex.org/W2887817889","https://openalex.org/W2890159224","https://openalex.org/W2912152775","https://openalex.org/W2957037461","https://openalex.org/W2962793481","https://openalex.org/W2962926870","https://openalex.org/W2962974533","https://openalex.org/W2963047834","https://openalex.org/W2963148311","https://openalex.org/W2963365374","https://openalex.org/W2963805953","https://openalex.org/W2963842104","https://openalex.org/W2964304299"],"related_works":["https://openalex.org/W2982638676","https://openalex.org/W4237735386","https://openalex.org/W2622554317","https://openalex.org/W2006198159","https://openalex.org/W1603973577","https://openalex.org/W2114667878","https://openalex.org/W2159871081","https://openalex.org/W2082294883","https://openalex.org/W2155138846","https://openalex.org/W2405544836"],"abstract_inverted_index":{"Due":[0],"to":[1,82,115,145],"the":[2,35,50,53,69,103,117,124,147,159],"effect":[3,118],"of":[4,105,119,149,161],"weak":[5,97,120,153],"illumination,":[6],"person":[7,36,43,76,89,106,150],"images":[8,55,99],"captured":[9],"by":[10,68],"surveillance":[11],"cameras":[12],"usually":[13],"contain":[14],"various":[15],"degradations":[16,26],"such":[17],"as":[18],"color":[19],"shift,":[20],"low":[21,171],"contrast":[22],"and":[23,88,122,134,170],"noise.":[24],"These":[25],"result":[27],"in":[28,64],"severe":[29,167],"discriminant":[30],"information":[31],"loss,":[32],"which":[33,61,79],"makes":[34],"re-identification":[37,44,77],"(re-id)":[38],"more":[39],"challenging.":[40],"However,":[41],"existing":[42],"approaches":[45],"are":[46,56],"designed":[47],"based":[48],"on":[49,164],"assumption":[51],"that":[52,94],"pedestrians":[54],"under":[57,152],"well":[58],"lighting":[59,168],"conditions,":[60],"is":[62,80,142],"impractical":[63],"real-world":[65],"scenarios.":[66],"Inspired":[67],"Retinex":[70,85],"theory,":[71],"we":[72],"propose":[73],"a":[74,111,138],"illumination-invariant":[75],"framework":[78],"able":[81],"simultaneously":[83],"achieve":[84],"illumination":[86,121,154],"decomposition":[87],"re-identification.":[90],"We":[91,108],"first":[92],"verify":[93],"directly":[95],"using":[96],"illuminated":[98],"can":[100],"greatly":[101],"reduce":[102],"performance":[104,148],"re-id.":[107],"then":[109],"design":[110],"bottom-up":[112],"attention":[113],"network":[114],"remove":[116],"obtain":[123],"enhanced":[125],"image":[126],"without":[127],"introducing":[128],"over-enhancement.":[129],"To":[130],"effectively":[131],"connect":[132],"low-level":[133],"high-level":[135],"vision":[136],"tasks,":[137],"joint":[139],"training":[140],"strategy":[141],"further":[143],"introduced":[144],"boost":[146],"re-id":[151],"conditions.":[155,173],"Experiments":[156],"have":[157],"demonstrated":[158],"advantages":[160],"our":[162],"method":[163],"benchmarks":[165],"with":[166],"changes":[169],"light":[172]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":9}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}