{"id":"https://openalex.org/W4375869431","doi":"https://doi.org/10.1109/icassp49357.2023.10096602","title":"Gaitcotr: Improved Spatial-Temporal Representation for Gait Recognition with a Hybrid Convolution-Transformer Framework","display_name":"Gaitcotr: Improved Spatial-Temporal Representation for Gait Recognition with a Hybrid Convolution-Transformer Framework","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375869431","doi":"https://doi.org/10.1109/icassp49357.2023.10096602"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5102857137","display_name":"Jingqi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jingqi Li","raw_affiliation_strings":["School of Computer Science,Shanghai Key Lab of Intelligent Information Processing","Shanghai Key Lab of Intelligent Information Processing, School of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science,Shanghai Key Lab of Intelligent Information Processing","institution_ids":["https://openalex.org/I4210153682"]},{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, School of Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721871","display_name":"Yuzhen Zhang","orcid":"https://orcid.org/0000-0002-7930-5549"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuzhen Zhang","raw_affiliation_strings":["School of Computer Science,Shanghai Key Lab of Intelligent Information Processing","Shanghai Key Lab of Intelligent Information Processing, School of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science,Shanghai Key Lab of Intelligent Information Processing","institution_ids":["https://openalex.org/I4210153682"]},{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, School of Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049086157","display_name":"Hongming Shan","orcid":"https://orcid.org/0000-0002-0604-3197"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210164150","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":"https://ror.org/0551a0y31","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210164150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongming Shan","raw_affiliation_strings":["Fudan University,Institute of Science and Technology for Brain-Inspired Intelligence,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Institute of Science and Technology for Brain-Inspired Intelligence,Shanghai,China,200433","institution_ids":["https://openalex.org/I4210164150","https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696429","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-5924-3360"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["School of Computer Science,Shanghai Key Lab of Intelligent Information Processing","Shanghai Key Lab of Intelligent Information Processing, School of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science,Shanghai Key Lab of Intelligent Information Processing","institution_ids":["https://openalex.org/I4210153682"]},{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, School of Computer Science","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9757999777793884,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.7377418279647827},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6258271932601929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5816535353660583},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.5740795135498047},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5523043870925903},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5393386483192444},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4876317083835602},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4571622908115387},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3668559789657593},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14503222703933716},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11855095624923706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377418279647827},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6258271932601929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5816535353660583},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.5740795135498047},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5523043870925903},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5393386483192444},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4876317083835602},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4571622908115387},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3668559789657593},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14503222703933716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11855095624923706},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":29,"referenced_works":["https://openalex.org/W2104335344","https://openalex.org/W2322772590","https://openalex.org/W2510190030","https://openalex.org/W2963301258","https://openalex.org/W2990152177","https://openalex.org/W3035400973","https://openalex.org/W3093108399","https://openalex.org/W3094502228","https://openalex.org/W3121523901","https://openalex.org/W3128064349","https://openalex.org/W3139049060","https://openalex.org/W3155497642","https://openalex.org/W3159885121","https://openalex.org/W3201864842","https://openalex.org/W3202075110","https://openalex.org/W4214564952","https://openalex.org/W4225747457","https://openalex.org/W4226530256","https://openalex.org/W4287022992","https://openalex.org/W4312347918","https://openalex.org/W4319788144","https://openalex.org/W4385245566","https://openalex.org/W6675575696","https://openalex.org/W6739901393","https://openalex.org/W6784333009","https://openalex.org/W6790086291","https://openalex.org/W6800217721","https://openalex.org/W6809698605","https://openalex.org/W6810117421"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W4390516098","https://openalex.org/W2037549926","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2142795561","https://openalex.org/W2849310602","https://openalex.org/W4205302943"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,35,58],"novel":[4],"hybrid":[5,47],"convolution-transformer":[6],"framework":[7,15,48],"for":[8,49,64],"gait":[9,97],"recognition,":[10],"termed":[11],"GaitCoTr.":[12],"The":[13],"developed":[14],"captures":[16],"the":[17,27,43,104,108],"appearance":[18],"and":[19,25,52,73,101],"short-term":[20],"temporal":[21,29,54],"features":[22,30],"by":[23,31],"convolution":[24],"extracts":[26],"long-term":[28],"transformer":[32,62],"architecture,":[33],"achieving":[34],"comprehensive":[36],"spatial-temporal":[37],"representation":[38],"of":[39,45,61,107],"gait.":[40],"To":[41],"unleash":[42],"potential":[44],"this":[46],"extracting":[50],"richness":[51],"generalized":[53],"features,":[55],"we":[56,78],"propose":[57],"new":[59],"variant":[60],"tailored":[63],"gait,":[65],"including":[66],"temporally":[67],"shifted":[68],"tokenization,":[69],"length-flexible":[70],"position":[71],"embedding,":[72],"inter-frame":[74],"encoder.":[75],"In":[76],"addition,":[77],"introduce":[79],"an":[80],"auxiliary":[81],"task\u2014view":[82],"label":[83],"prediction\u2014aiming":[84],"to":[85],"disentangle":[86],"view":[87],"from":[88],"ID":[89],"information.":[90],"Extensive":[91],"experimental":[92],"results":[93],"on":[94],"two":[95],"well-known":[96],"benchmark":[98],"datasets,":[99],"CASIA-B":[100],"GREW,":[102],"demonstrate":[103],"superior":[105],"performance":[106],"proposed":[109],"Gait-CoTr.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}