{"id":"https://openalex.org/W7155193945","doi":"https://doi.org/10.48550/arxiv.2604.19218","title":"Thinking Before Matching: A Reinforcement Reasoning Paradigm Towards General Person Re-Identification","display_name":"Thinking Before Matching: A Reinforcement Reasoning Paradigm Towards General Person Re-Identification","publication_year":2026,"publication_date":"2026-04-21","ids":{"openalex":"https://openalex.org/W7155193945","doi":"https://doi.org/10.48550/arxiv.2604.19218"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2604.19218","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2604.19218","pdf_url":"https://arxiv.org/pdf/2604.19218","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2604.19218","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5159955508","display_name":"Quan Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang, Quan","raw_affiliation_strings":["Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134286046","display_name":"Jingze Wu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu, Jingze","raw_affiliation_strings":["Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134359825","display_name":"Jialong Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Jialong","raw_affiliation_strings":["Alibaba Cloud Computing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Cloud Computing","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124891298","display_name":"Xiaohua Xie","orcid":"https://orcid.org/0000-0002-0310-4679","observed_orcids":["https://orcid.org/0000-0002-0310-4679"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xie, Xiaohua","raw_affiliation_strings":["Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034685928","display_name":"Jianhuang Lai","orcid":"https://orcid.org/0000-0003-3883-2024","observed_orcids":["https://orcid.org/0000-0003-3883-2024"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lai, Jianhuang","raw_affiliation_strings":["Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125772032","display_name":"Hongbo Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen, Hongbo","raw_affiliation_strings":["Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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":0.9980000257492065,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0003000000142492354,"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/person-re-identification","display_name":"person re-identification","score":0.9980000257492065},{"id":"https://openalex.org/keywords/chain-of-thought","display_name":"chain-of-thought","score":0.7760000228881836},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.7910000085830688},{"id":"https://openalex.org/keywords/label-free-training","display_name":"label-free training","score":0.6119999885559082},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.652999997138977},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.3050000071525574}],"concepts":[{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.7649999856948853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6265000104904175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6187000274658203},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6107000112533569},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5784000158309937},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5745000243186951},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5214999914169312},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.49219998717308044},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4645000100135803},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34389999508857727},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2696000039577484},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2604.19218","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2604.19218","pdf_url":"https://arxiv.org/pdf/2604.19218","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2604.19218","doi":"https://doi.org/10.48550/arxiv.2604.19218","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19218","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2604.19218","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2604.19218","pdf_url":"https://arxiv.org/pdf/2604.19218","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7155193945.pdf","grobid_xml":"https://content.openalex.org/works/W7155193945.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W26575457","https://openalex.org/W2598634450","https://openalex.org/W4386185600","https://openalex.org/W4391631327","https://openalex.org/W4403853618","https://openalex.org/W4407794264","https://openalex.org/W4414565054","https://openalex.org/W4414565117","https://openalex.org/W4416112346","https://openalex.org/W4417286533","https://openalex.org/W6910582812","https://openalex.org/W6929454692","https://openalex.org/W6948369276","https://openalex.org/W7061299601"],"related_works":["https://openalex.org/W3188606522","https://openalex.org/W2970832466","https://openalex.org/W4416150221","https://openalex.org/W3210203569","https://openalex.org/W7202246763","https://openalex.org/W4413144740","https://openalex.org/W2884534488","https://openalex.org/W7172001710","https://openalex.org/W4390874233","https://openalex.org/W4376479342"],"abstract_inverted_index":{"Learning":[0],"identity-discriminative":[1],"representations":[2],"with":[3],"multi-scene":[4],"generality":[5],"has":[6],"become":[7],"a":[8,34,47,69,77,82,98],"critical":[9],"objective":[10],"in":[11,81],"person":[12],"re-identification":[13],"(ReID).":[14],"However,":[15],"mainstream":[16],"perception-driven":[17],"paradigms":[18],"tend":[19],"to":[20,86,101,113],"identify":[21],"fitting":[22],"from":[23,157],"massive":[24],"annotated":[25],"data":[26,148,153],"rather":[27],"than":[28],"identity-causal":[29],"cues":[30],"understanding,":[31],"which":[32,96],"presents":[33],"fragile":[35],"representation":[36],"against":[37],"multiple":[38,131],"disruptions.":[39],"In":[40],"this":[41,106],"work,":[42],"ReID-R":[43,66,108,136,160],"is":[44,79],"proposed":[45],"as":[46,141],"novel":[48],"reasoning-driven":[49],"paradigm":[50],"that":[51,135],"achieves":[52,137],"explicit":[53],"identity":[54,139],"understanding":[55],"and":[56,91,125],"reasoning":[57,74,124],"by":[58],"incorporating":[59],"chain-of-thought":[60],"into":[61],"the":[62,115,151],"ReID":[63,132],"pipeline.":[64],"Specifically,":[65],"consists":[67],"of":[68,150],"two-stage":[70],"contribution:":[71],"(i)":[72],"Discriminative":[73],"warm-up,":[75],"where":[76],"model":[78,116],"trained":[80],"CoT":[83],"label-free":[84],"manner":[85],"acquire":[87],"identity-aware":[88],"feature":[89],"understanding;":[90],"(ii)":[92],"Efficient":[93],"reinforcement":[94],"learning,":[95],"proposes":[97],"non-trivial":[99,147],"sampling":[100],"construct":[102],"scene-generalizable":[103],"data.":[104],"On":[105],"basis,":[107],"leverages":[109],"high-quality":[110,163],"reward":[111],"signals":[112],"guide":[114],"toward":[117],"focusing":[118],"on":[119,130],"ID-related":[120],"cues,":[121],"achieving":[122],"accurate":[123],"correct":[126],"responses.":[127],"Extensive":[128],"experiments":[129],"benchmarks":[133],"demonstrate":[134],"competitive":[138],"discrimination":[140],"superior":[142],"methods":[143],"using":[144],"only":[145],"14.3K":[146],"(20.9%":[149],"existing":[152],"scale).":[154],"Furthermore,":[155],"benefit":[156],"inherent":[158],"reasoning,":[159],"can":[161],"provide":[162],"interpretation":[164],"for":[165],"results.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-04-23T00:00:00"}
