{"id":"https://openalex.org/W2912068403","doi":"https://doi.org/10.1109/mmul.2019.2897678","title":"Person Reidentification by Deep Structured Prediction\u2014A Fully Parameterized Approach","display_name":"Person Reidentification by Deep Structured Prediction\u2014A Fully Parameterized Approach","publication_year":2019,"publication_date":"2019-02-05","ids":{"openalex":"https://openalex.org/W2912068403","doi":"https://doi.org/10.1109/mmul.2019.2897678","mag":"2912068403"},"language":"en","primary_location":{"id":"doi:10.1109/mmul.2019.2897678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2019.2897678","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE MultiMedia","raw_type":"journal-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/A5032540389","display_name":"Xinpeng L. Liao","orcid":"https://orcid.org/0000-0002-0719-2346"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xinpeng L. Liao","raw_affiliation_strings":["The University of Alabama at Birmingham"],"affiliations":[{"raw_affiliation_string":"The University of Alabama at Birmingham","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061568662","display_name":"Chengcui Zhang","orcid":"https://orcid.org/0000-0002-5868-6450"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengcui Zhang","raw_affiliation_strings":["The University of Alabama at Birmingham"],"affiliations":[{"raw_affiliation_string":"The University of Alabama at Birmingham","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112047383","display_name":"Ming Dong","orcid":"https://orcid.org/0000-0003-4197-7267"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Dong","raw_affiliation_strings":["Wayne State University"],"affiliations":[{"raw_affiliation_string":"Wayne State University","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100363116","display_name":"Xin Chen","orcid":"https://orcid.org/0000-0003-1950-2468"},"institutions":[{"id":"https://openalex.org/I2293663","display_name":"Governors State University","ror":"https://ror.org/00wtq7t14","country_code":"US","type":"education","lineage":["https://openalex.org/I2293663"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Chen","raw_affiliation_strings":["Governors State University"],"affiliations":[{"raw_affiliation_string":"Governors State University","institution_ids":["https://openalex.org/I2293663"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032540389"],"corresponding_institution_ids":["https://openalex.org/I32389192"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.50916061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":"3","first_page":"42","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.998199999332428,"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":0.998199999332428,"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":0.9908999800682068,"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":0.9535999894142151,"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/computer-science","display_name":"Computer science","score":0.78084397315979},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.6416491270065308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5195308327674866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3685115575790405},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1885160207748413}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78084397315979},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.6416491270065308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5195308327674866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3685115575790405},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1885160207748413}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmul.2019.2897678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2019.2897678","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE MultiMedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1877183374","https://openalex.org/W2116294498","https://openalex.org/W2204750386","https://openalex.org/W2344924411","https://openalex.org/W2475287302","https://openalex.org/W2511791013","https://openalex.org/W2531440880","https://openalex.org/W2539329842","https://openalex.org/W2599275287","https://openalex.org/W2603777577","https://openalex.org/W2809950974","https://openalex.org/W2963468416","https://openalex.org/W2964205912","https://openalex.org/W3098711604","https://openalex.org/W4293541669","https://openalex.org/W4293865263","https://openalex.org/W6694738858","https://openalex.org/W6725558437","https://openalex.org/W6728374919","https://openalex.org/W6735184003"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Existing":[0],"efforts":[1],"on":[2],"person":[3,12,30],"reidentification":[4],"(re-ID)":[5],"either":[6],"ignore":[7],"the":[8,40],"structural":[9],"interactions":[10],"among":[11],"images":[13],"or":[14],"require":[15],"a":[16,22,33],"highly":[17],"crafted":[18],"re-ID":[19,31],"structure":[20,46],"as":[21,32],"priori":[23],"information.":[24],"In":[25],"contrast,":[26],"our":[27],"approach":[28],"formulates":[29],"deep":[34],"structured":[35],"prediction":[36],"problem":[37],"that":[38],"outperforms":[39],"state-of-the-art":[41],"methods":[42],"by":[43],"utilizing":[44],"neural-style-transfer-based":[45],"sampling":[47],"and":[48],"fully":[49],"parameterized":[50],"energy":[51],"networks.":[52]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
