{"id":"https://openalex.org/W4408017547","doi":"https://doi.org/10.1109/tpami.2025.3546482","title":"Gait Recognition in the Wild: A Large-Scale Benchmark and NAS-Based Baseline","display_name":"Gait Recognition in the Wild: A Large-Scale Benchmark and NAS-Based Baseline","publication_year":2025,"publication_date":"2025-02-27","ids":{"openalex":"https://openalex.org/W4408017547","doi":"https://doi.org/10.1109/tpami.2025.3546482","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031568"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3546482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3546482","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5084921716","display_name":"Xianda Guo","orcid":"https://orcid.org/0000-0003-2822-4690"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xianda Guo","raw_affiliation_strings":["XForwardAI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"XForwardAI, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101705530","display_name":"Zheng Zhu","orcid":"https://orcid.org/0000-0002-4435-1692"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Zheng Zhu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032637622","display_name":"Tian Yang","orcid":"https://orcid.org/0000-0001-6185-8957"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian Yang","raw_affiliation_strings":["XForwardAI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"XForwardAI, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102756151","display_name":"Beibei Lin","orcid":"https://orcid.org/0009-0007-2492-1604"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Beibei Lin","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117501258","display_name":"Junjie Huang","orcid":"https://orcid.org/0000-0002-2853-2549"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junjie Huang","raw_affiliation_strings":["XForwardAI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"XForwardAI, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073110676","display_name":"Jiankang Deng","orcid":"https://orcid.org/0000-0002-3709-6216"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiankang Deng","raw_affiliation_strings":["Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103027472","display_name":"Guan Huang","orcid":"https://orcid.org/0000-0001-5172-9203"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guan Huang","raw_affiliation_strings":["XForwardAI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"XForwardAI, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620306","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0001-7701-234X"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100460385","display_name":"Jiwen Lu","orcid":"https://orcid.org/0000-0002-6121-5529"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Jiwen Lu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5084921716"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4006,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95526175,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"47","issue":"6","first_page":"4535","last_page":"4552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983000159263611,"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":0.9972000122070312,"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/baseline","display_name":"Baseline (sea)","score":0.6568958163261414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6548453569412231},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6154460906982422},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.5835748910903931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5539982914924622},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5477485060691833},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5433803200721741},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.515801191329956},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38979217410087585},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.32460495829582214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3206632137298584},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16316097974777222},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15958988666534424},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.154475599527359},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15000975131988525}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6568958163261414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6548453569412231},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6154460906982422},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.5835748910903931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5539982914924622},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5477485060691833},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5433803200721741},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.515801191329956},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38979217410087585},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.32460495829582214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3206632137298584},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16316097974777222},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15958988666534424},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.154475599527359},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15000975131988525},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3546482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3546482","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40031568","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031568","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.5,"display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G2438210826","display_name":null,"funder_award_id":"62321005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3510215249","display_name":null,"funder_award_id":"62125603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8443129088","display_name":null,"funder_award_id":"62336004","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":129,"referenced_works":["https://openalex.org/W760855798","https://openalex.org/W1509966554","https://openalex.org/W1563917320","https://openalex.org/W1797462219","https://openalex.org/W1861492603","https://openalex.org/W1982925187","https://openalex.org/W1984031350","https://openalex.org/W1998667615","https://openalex.org/W2018331988","https://openalex.org/W2040270931","https://openalex.org/W2050785999","https://openalex.org/W2080982032","https://openalex.org/W2096733369","https://openalex.org/W2104335344","https://openalex.org/W2113408265","https://openalex.org/W2117539524","https://openalex.org/W2126680226","https://openalex.org/W2145287260","https://openalex.org/W2149516292","https://openalex.org/W2151458682","https://openalex.org/W2160933580","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2322772590","https://openalex.org/W2510190030","https://openalex.org/W2515770085","https://openalex.org/W2517225990","https://openalex.org/W2520433280","https://openalex.org/W2531440880","https://openalex.org/W2560474170","https://openalex.org/W2583372902","https://openalex.org/W2585635281","https://openalex.org/W2587215467","https://openalex.org/W2598634450","https://openalex.org/W2612627974","https://openalex.org/W2739325416","https://openalex.org/W2760814882","https://openalex.org/W2762262611","https://openalex.org/W2765328347","https://openalex.org/W2769077043","https://openalex.org/W2777027507","https://openalex.org/W2788751553","https://openalex.org/W2799185441","https://openalex.org/W2807461033","https://openalex.org/W2807624910","https://openalex.org/W2891440844","https://openalex.org/W2916798096","https://openalex.org/W2936930930","https://openalex.org/W2942010964","https://openalex.org/W2943554767","https://openalex.org/W2949024437","https://openalex.org/W2951104886","https://openalex.org/W2960957522","https://openalex.org/W2961666066","https://openalex.org/W2962898354","https://openalex.org/W2963047834","https://openalex.org/W2963136578","https://openalex.org/W2963180826","https://openalex.org/W2963301258","https://openalex.org/W2963671154","https://openalex.org/W2963839617","https://openalex.org/W2963842104","https://openalex.org/W2963849369","https://openalex.org/W2963854019","https://openalex.org/W2967515867","https://openalex.org/W2967733054","https://openalex.org/W2969985801","https://openalex.org/W2977530922","https://openalex.org/W2978535238","https://openalex.org/W2982232682","https://openalex.org/W2986093954","https://openalex.org/W2986451890","https://openalex.org/W2994675267","https://openalex.org/W3008575654","https://openalex.org/W3034249268","https://openalex.org/W3034256900","https://openalex.org/W3034971973","https://openalex.org/W3035040255","https://openalex.org/W3035223629","https://openalex.org/W3035400973","https://openalex.org/W3035693354","https://openalex.org/W3042230461","https://openalex.org/W3092106049","https://openalex.org/W3096533519","https://openalex.org/W3096732040","https://openalex.org/W3097003645","https://openalex.org/W3097009184","https://openalex.org/W3105506710","https://openalex.org/W3109072956","https://openalex.org/W3120636764","https://openalex.org/W3167584510","https://openalex.org/W3173635859","https://openalex.org/W3183144546","https://openalex.org/W3195852174","https://openalex.org/W3202075110","https://openalex.org/W3208222036","https://openalex.org/W4214564952","https://openalex.org/W4214619583","https://openalex.org/W4221160147","https://openalex.org/W4248432485","https://openalex.org/W4285301576","https://openalex.org/W4304080361","https://openalex.org/W4312320062","https://openalex.org/W4312347918","https://openalex.org/W4312652114","https://openalex.org/W4319336137","https://openalex.org/W4322747119","https://openalex.org/W4382930731","https://openalex.org/W4386065354","https://openalex.org/W4386071649","https://openalex.org/W4386076037","https://openalex.org/W4386076105","https://openalex.org/W4386472834","https://openalex.org/W4390872881","https://openalex.org/W6630649318","https://openalex.org/W6683756719","https://openalex.org/W6728374919","https://openalex.org/W6735531217","https://openalex.org/W6745280964","https://openalex.org/W6752515464","https://openalex.org/W6756887525","https://openalex.org/W6761548670","https://openalex.org/W6766978945","https://openalex.org/W6767071290","https://openalex.org/W6771640722","https://openalex.org/W6784085021","https://openalex.org/W6785442693","https://openalex.org/W6788471670","https://openalex.org/W6809881053"],"related_works":["https://openalex.org/W2133973503","https://openalex.org/W2471060339","https://openalex.org/W2148547327","https://openalex.org/W4226236273","https://openalex.org/W2125892956","https://openalex.org/W2130975749","https://openalex.org/W2493973380","https://openalex.org/W2394835211","https://openalex.org/W2809084995","https://openalex.org/W2729676947"],"abstract_inverted_index":{"Gait":[0,48,207],"benchmarks":[1],"empower":[2],"the":[3,33,51,80,122,138,145,153,161,196,213,226],"research":[4],"community":[5],"to":[6,21,179],"train":[7],"and":[8,44,67,87,126,169,185,230],"evaluate":[9],"high-performance":[10],"gait":[11,96,150,163,187,216],"recognition":[12,151,164,217],"systems.":[13,75],"Even":[14],"though":[15],"growing":[16],"efforts":[17],"have":[18],"been":[19],"devoted":[20],"cross-view":[22,120],"recognition,":[23,208],"academia":[24],"is":[25,57,144,212],"restricted":[26],"by":[27,236],"current":[28],"existing":[29,234],"databases":[30],"captured":[31],"in":[32,50,73,152,189],"controlled":[34],"environment.":[35],"In":[36,192,219],"this":[37,143,157],"paper,":[38],"we":[39,99,159,194],"contribute":[40],"a":[41,101,237],"new":[42],"benchmark":[43,177],"strong":[45],"baseline":[46],"for":[47,94,113,149,182,206],"REcognition":[49],"Wild":[52],"(GREW).":[53],"The":[54,174],"GREW":[55,81,123,176,231],"dataset":[56,148],"constructed":[58],"from":[59],"natural":[60],"videos,":[61],"which":[62,211],"contain":[63],"hundreds":[64],"of":[65,69,71,83,104,140],"cameras":[66],"thousands":[68],"hours":[70],"streams":[72],"open":[74],"With":[76],"tremendous":[77],"manual":[78],"annotations,":[79],"consists":[82],"26":[84],"K":[85,89,107],"identities":[86],"128":[88],"sequences":[90],"with":[91,117,156,203],"rich":[92],"attributes":[93],"unconstrained":[95,162,190],"recognition.":[97],"Moreover,":[98],"add":[100],"distractor":[102],"set":[103],"over":[105],"233":[106],"sequences,":[108],"making":[109],"it":[110],"more":[111,133],"suitable":[112],"real-world":[114],"applications.":[115],"Compared":[116],"prevailing":[118],"predefined":[119],"datasets,":[121],"has":[124],"diverse":[125],"practical":[127],"view":[128],"variations,":[129],"as":[130,132],"well":[131],"naturally":[134],"challenging":[135],"factors.":[136],"To":[137],"best":[139],"our":[141],"knowledge,":[142],"first":[146,214],"large-scale":[147],"wild.":[154],"Equipped":[155],"benchmark,":[158],"dissect":[160],"problem,":[165],"where":[166],"representative":[167],"appearance-based":[168],"model-based":[170],"methods":[171],"are":[172],"explored.":[173],"proposed":[175],"proves":[178],"be":[180],"essential":[181],"both":[183],"training":[184],"evaluating":[186],"recognizers":[188],"scenarios.":[191],"addition,":[193],"propose":[195],"Single":[197],"Path":[198],"One-Shot":[199],"neural":[200],"architecture":[201],"search":[202],"uniform":[204],"sampling":[205],"named":[209],"SPOSGait,":[210],"NAS-based":[215],"model.":[218],"experiments,":[220],"SPOSGait":[221],"achieves":[222],"state-of-the-art":[223],"performance":[224],"on":[225],"CASIA-B,":[227],"OU-MVLP,":[228],"Gait3D,":[229],"benchmarks,":[232],"outperforming":[233],"approaches":[235],"large":[238],"margin.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}