{"id":"https://openalex.org/W4386596935","doi":"https://doi.org/10.1109/icip49359.2023.10222860","title":"MEGL: Multi-Experts Guided Learning Network for Single Camera Training Person Re-Identification","display_name":"MEGL: Multi-Experts Guided Learning Network for Single Camera Training Person Re-Identification","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386596935","doi":"https://doi.org/10.1109/icip49359.2023.10222860"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114860730","display_name":"He Li","orcid":"https://orcid.org/0009-0008-5332-6238"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Li","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China","Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021158772","display_name":"Yuxuan Shi","orcid":"https://orcid.org/0000-0001-7858-5369"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Shi","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China","Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037263298","display_name":"Hefei Ling","orcid":"https://orcid.org/0000-0001-6797-7412"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hefei Ling","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China","Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101754035","display_name":"Zongyi Li","orcid":"https://orcid.org/0000-0002-4459-4977"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyi Li","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China","Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078360341","display_name":"Runsheng Wang","orcid":"https://orcid.org/0000-0001-7078-681X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runsheng Wang","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China","Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101634804","display_name":"Chengxin Zhao","orcid":"https://orcid.org/0000-0001-8269-9799"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxin Zhao","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China","Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101690355","display_name":"Ping Li","orcid":"https://orcid.org/0000-0002-9534-816X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Li","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China","Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2645","last_page":"2649"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9954000115394592,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8385686278343201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.767126202583313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7441810965538025},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5218197703361511},{"id":"https://openalex.org/keywords/smart-camera","display_name":"Smart camera","score":0.486234575510025},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4754747450351715},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4634634554386139},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4348580539226532},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4022566080093384},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06917262077331543}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8385686278343201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767126202583313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7441810965538025},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5218197703361511},{"id":"https://openalex.org/C161334170","wikidata":"https://www.wikidata.org/wiki/Q1428778","display_name":"Smart camera","level":2,"score":0.486234575510025},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4754747450351715},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4634634554386139},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4348580539226532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4022566080093384},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06917262077331543},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G180621610","display_name":null,"funder_award_id":"2019QY(Y)0202","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2599133925","display_name":"\u9762\u5411\u8fd1\u4f3c\u62f7\u8d1d\u641c\u7d22\u7684\u6df1\u5ea6\u8bed\u4e49\u54c8\u5e0c\u6280\u672f\u7814\u7a76","funder_award_id":"61972169","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G380432997","display_name":null,"funder_award_id":"2022M711251","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G519944205","display_name":null,"funder_award_id":"2020010601012182","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G702592328","display_name":null,"funder_award_id":"2019QY","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8807614611","display_name":null,"funder_award_id":"2022YFB2600041","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2150884987","https://openalex.org/W2204750386","https://openalex.org/W2585635281","https://openalex.org/W2896016251","https://openalex.org/W2963842104","https://openalex.org/W2964288524","https://openalex.org/W2969985801","https://openalex.org/W2998253676","https://openalex.org/W2998792609","https://openalex.org/W3089504203","https://openalex.org/W3094502228","https://openalex.org/W3096285474","https://openalex.org/W3125736290","https://openalex.org/W3126664093","https://openalex.org/W3151130473","https://openalex.org/W3171007011","https://openalex.org/W3173909755","https://openalex.org/W3185904166","https://openalex.org/W4214736485","https://openalex.org/W4283815292","https://openalex.org/W4308234155","https://openalex.org/W4312934679","https://openalex.org/W4387969510","https://openalex.org/W6631190155","https://openalex.org/W6683633756"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"The":[0],"time-saving":[1],"single-camera":[2],"training(SCT)":[3],"person":[4],"re-identification":[5],"aims":[6],"to":[7,55,67],"learn":[8],"camera-invariant":[9,57],"information":[10],"without":[11],"cross-camera":[12],"pedestrian":[13,122],"annotations.":[14],"To":[15],"address":[16],"this":[17],"challenging":[18],"task,":[19],"we":[20],"propose":[21],"a":[22,101],"novel":[23],"approach":[24,135],"called":[25],"Multi-Experts":[26],"Guided":[27],"Learning":[28],"Network":[29],"(MEGL-Net)":[30],"for":[31,94,121],"SCT-ReID":[32],"that":[33,133],"can":[34],"obtain":[35,56],"features":[36,71,99,109,112,116],"not":[37],"influenced":[38],"by":[39],"camera":[40,74,91],"views":[41],"at":[42,100],"the":[43,49,77,86,90,118,125],"global":[44,111],"and":[45,89,113,127,140],"local":[46,87,115],"levels":[47],"under":[48],"guidance":[50],"of":[51],"multi-camera":[52],"experts.":[53],"Firstly,":[54],"features,":[58],"an":[59],"adaptive":[60],"feature":[61],"integration":[62],"module":[63,81],"(AFI)":[64],"is":[65],"introduced":[66],"adaptively":[68],"integrate":[69],"expert-guided":[70,108],"from":[72],"different":[73],"branches.":[75],"Then,":[76],"proposed":[78],"camera-local":[79],"interactive":[80],"(CLI)":[82],"facilitates":[83],"interaction":[84],"between":[85],"branch":[88,93],"experts":[92],"automatically":[95],"extracting":[96],"discriminative,":[97],"domain-invariant":[98],"fine-grained":[102],"level.":[103],"Finally,":[104],"our":[105,134],"framework":[106],"aggregates":[107],"with":[110],"enhanced":[114],"in":[117],"testing":[119],"stage":[120],"retrieval.":[123],"Under":[124],"Market-SCT":[126],"Duke-SCT":[128],"datasets,":[129],"experimental":[130],"results":[131],"demonstrate":[132],"significantly":[136],"improves":[137],"ReID":[138],"performance":[139],"outperforms":[141],"existing":[142],"state-of-the-art":[143],"(SOTA)":[144],"methods.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
