{"id":"https://openalex.org/W3162196541","doi":"https://doi.org/10.1109/icpr48806.2021.9413029","title":"A Base-Derivative Framework for Cross-Modality RGB-Infrared Person Re-Identification","display_name":"A Base-Derivative Framework for Cross-Modality RGB-Infrared Person Re-Identification","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3162196541","doi":"https://doi.org/10.1109/icpr48806.2021.9413029","mag":"3162196541"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5100410326","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-7498-6541"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053671393","display_name":"Ziling Miao","orcid":"https://orcid.org/0000-0003-2414-3674"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziling Miao","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086513946","display_name":"Bing Yang","orcid":"https://orcid.org/0000-0002-8978-2322"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Yang","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038044561","display_name":"Runwei Ding","orcid":"https://orcid.org/0000-0003-4987-0405"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runwei Ding","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100410326"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53993464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"7640","last_page":"7646"},"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/T11448","display_name":"Face recognition and analysis","score":0.9865999817848206,"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":0.9563000202178955,"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":0.8552131056785583},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.7990072965621948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560120582580566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6446627974510193},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5655724406242371},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5418731570243835},{"id":"https://openalex.org/keywords/derivative","display_name":"Derivative (finance)","score":0.4977853298187256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48182979226112366},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4679830074310303},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4645310044288635},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.46389344334602356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3302121162414551},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22463294863700867}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.8552131056785583},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.7990072965621948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560120582580566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6446627974510193},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5655724406242371},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5418731570243835},{"id":"https://openalex.org/C111771559","wikidata":"https://www.wikidata.org/wiki/Q66295","display_name":"Derivative (finance)","level":2,"score":0.4977853298187256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48182979226112366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4679830074310303},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4645310044288635},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.46389344334602356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3302121162414551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22463294863700867},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1351521756","display_name":null,"funder_award_id":"U1613209,61673030","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1009458120","https://openalex.org/W2001239463","https://openalex.org/W2099471712","https://openalex.org/W2194775991","https://openalex.org/W2596603442","https://openalex.org/W2598634450","https://openalex.org/W2777534232","https://openalex.org/W2788846526","https://openalex.org/W2808260522","https://openalex.org/W2890812519","https://openalex.org/W2892034016","https://openalex.org/W2904949947","https://openalex.org/W2954773727","https://openalex.org/W2962859295","https://openalex.org/W2963597983","https://openalex.org/W2970390221","https://openalex.org/W2981396627","https://openalex.org/W2982170673","https://openalex.org/W2985033611","https://openalex.org/W2996878574","https://openalex.org/W2997877744","https://openalex.org/W2998792609","https://openalex.org/W3034494316","https://openalex.org/W4317524344","https://openalex.org/W4320013936","https://openalex.org/W6735531217","https://openalex.org/W6748621115","https://openalex.org/W6771301670","https://openalex.org/W6771967508","https://openalex.org/W6772234416"],"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":{"Cross-modality":[0],"RGB-infrared":[1],"(RGB-IR)":[2],"person":[3,119],"reidentification":[4],"(Re-ID)":[5],"is":[6,54,88,128],"a":[7,50,91,168],"challenging":[8],"research":[9],"topic":[10],"due":[11],"to":[12,25,39,59,69],"the":[13,34,42,60,70,80,83,96,100,108,113,117,125,131,138,156,160],"heterogeneity":[14],"of":[15,98,140,170,176],"RGB":[16],"and":[17,63,66,102,134,152,179],"infrared":[18,37,64],"images.":[19,48],"In":[20,79],"this":[21],"paper,":[22],"we":[23,166],"aim":[24],"find":[26],"some":[27],"auxiliary":[28,72],"modalities,":[29,38,65],"which":[30],"are":[31,75,105],"homologous":[32],"with":[33,137],"visible":[35,62],"or":[36],"help":[40],"reduce":[41],"modality":[43],"discrepancy":[44],"caused":[45],"by":[46,130],"heterogeneous":[47],"Accordingly,":[49],"new":[51],"base-derivative":[52],"framework":[53,127],"proposed,":[55],"where":[56],"base":[57,101],"refers":[58,68],"original":[61],"derivative":[67,103,142],"two":[71,141,147],"modalities":[73,104],"that":[74,155],"derived":[76],"from":[77],"base.":[78],"proposed":[81,126,157],"framework,":[82],"double-modality":[84],"cross-modal":[85],"learning":[86,110],"problem":[87],"reformulated":[89],"as":[90],"four-modality":[92],"one.":[93],"After":[94],"that,":[95],"images":[97],"all":[99],"fed":[106],"into":[107],"feature":[109],"network.":[111],"With":[112],"doubled":[114],"input":[115],"images,":[116],"learned":[118],"features":[120],"become":[121],"more":[122],"discriminative.":[123],"Furthermore,":[124],"optimized":[129],"enhanced":[132],"intra-":[133],"cross-modality":[135],"constraints":[136],"assistance":[139],"modalities.":[143],"Experimental":[144],"results":[145],"on":[146,181],"publicly":[148],"available":[149],"datasets":[150],"SYSU-MM":[151],"RegDB":[153,182],"show":[154],"method":[158],"outperforms":[159],"other":[161],"state-of-the-art":[162],"methods.":[163],"For":[164],"instance,":[165],"achieve":[167],"gain":[169],"over":[171],"13":[172],"%":[173],"in":[174],"terms":[175],"both":[177],"Rank-":[178],"mAP":[180],"dataset.":[183]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}