{"id":"https://openalex.org/W7169669759","doi":"https://doi.org/10.1007/978-981-92-3429-5_8","title":"Human-Background Decoupling for Domain-Generalizable Person Re-identification","display_name":"Human-Background Decoupling for Domain-Generalizable Person Re-identification","publication_year":2026,"publication_date":"2026-07-18","ids":{"openalex":"https://openalex.org/W7169669759","doi":"https://doi.org/10.1007/978-981-92-3429-5_8"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-92-3429-5_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3429-5_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5135535133","display_name":"Yong Zhao","orcid":"https://orcid.org/0009-0007-9544-6388"},"institutions":[{"id":"https://openalex.org/I1327838971","display_name":"National Archives","ror":"https://ror.org/033jcqk26","country_code":"GB","type":"archive","lineage":["https://openalex.org/I1327838971"]},{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","Department of Electronic Engineering, Tsinghua University, Beijing, China","National Engineering Research Center of Dangerous Articles and Explosives Detection Technologies, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-9544-6388","affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","institution_ids":["https://openalex.org/I4210156423"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"National Engineering Research Center of Dangerous Articles and Explosives Detection Technologies, Beijing, China","institution_ids":["https://openalex.org/I1327838971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346266","display_name":"Yali Li","orcid":"https://orcid.org/0000-0002-6629-7228"},"institutions":[{"id":"https://openalex.org/I1327838971","display_name":"National Archives","ror":"https://ror.org/033jcqk26","country_code":"GB","type":"archive","lineage":["https://openalex.org/I1327838971"]},{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yali Li","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","Department of Electronic Engineering, Tsinghua University, Beijing, China","National Engineering Research Center of Dangerous Articles and Explosives Detection Technologies, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6629-7228","affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","institution_ids":["https://openalex.org/I4210156423"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"National Engineering Research Center of Dangerous Articles and Explosives Detection Technologies, Beijing, China","institution_ids":["https://openalex.org/I1327838971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030965866","display_name":"Shengjin Wang","orcid":"https://orcid.org/0000-0001-7809-1932"},"institutions":[{"id":"https://openalex.org/I1327838971","display_name":"National Archives","ror":"https://ror.org/033jcqk26","country_code":"GB","type":"archive","lineage":["https://openalex.org/I1327838971"]},{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Shengjin Wang","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","Department of Electronic Engineering, Tsinghua University, Beijing, China","National Engineering Research Center of Dangerous Articles and Explosives Detection Technologies, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7809-1932","affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","institution_ids":["https://openalex.org/I4210156423"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"National Engineering Research Center of Dangerous Articles and Explosives Detection Technologies, Beijing, China","institution_ids":["https://openalex.org/I1327838971"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030965866"],"corresponding_institution_ids":["https://openalex.org/I1327838971","https://openalex.org/I4210156423","https://openalex.org/I99065089"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7972999811172485},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5437999963760376},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.482699990272522},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.43860000371932983},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4350000023841858},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4219000041484833},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4108999967575073},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4099999964237213},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4068000018596649}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8704000115394592},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7972999811172485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6129999756813049},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5437999963760376},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.482699990272522},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.43860000371932983},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4350000023841858},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4124999940395355},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4108999967575073},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4099999964237213},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4068000018596649},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2750000059604645},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-92-3429-5_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3429-5_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W760855798","https://openalex.org/W1518138188","https://openalex.org/W1596233070","https://openalex.org/W1979838576","https://openalex.org/W1982925187","https://openalex.org/W2047632871","https://openalex.org/W2098556421","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2963047834","https://openalex.org/W2996695408","https://openalex.org/W3034727830","https://openalex.org/W3035682985","https://openalex.org/W3166601111","https://openalex.org/W3173909755","https://openalex.org/W3174337559","https://openalex.org/W4214736485","https://openalex.org/W4312840286","https://openalex.org/W4312842598","https://openalex.org/W4390874233","https://openalex.org/W4394597838","https://openalex.org/W4405102028","https://openalex.org/W4406949283","https://openalex.org/W4415797786"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-20T05:51:44.042241","created_date":"2026-07-19T00:00:00"}