{"id":"https://openalex.org/W4317627075","doi":"https://doi.org/10.1007/s10489-022-04419-x","title":"Implicit regularization of a deep augmented neural network model for human motion prediction","display_name":"Implicit regularization of a deep augmented neural network model for human motion prediction","publication_year":2023,"publication_date":"2023-01-20","ids":{"openalex":"https://openalex.org/W4317627075","doi":"https://doi.org/10.1007/s10489-022-04419-x"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-04419-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-04419-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04419-x.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04419-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075832691","display_name":"Gaurav Kumar Yadav","orcid":"https://orcid.org/0000-0001-7022-290X"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]},{"id":"https://openalex.org/I55952717","display_name":"Universitat Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES","IN"],"is_corresponding":true,"raw_author_name":"Gaurav Kumar Yadav","raw_affiliation_strings":["Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, 43002, Spain","Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, 211012, Uttar Pradesh, India","Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, India","Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, 43002, Spain","institution_ids":["https://openalex.org/I55952717"]},{"raw_affiliation_string":"Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, 211012, Uttar Pradesh, India","institution_ids":["https://openalex.org/I26072440"]},{"raw_affiliation_string":"Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, India","institution_ids":["https://openalex.org/I26072440"]},{"raw_affiliation_string":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015854284","display_name":"Mohamed Abdel\u2010Nasser","orcid":"https://orcid.org/0000-0002-1074-2441"},"institutions":[{"id":"https://openalex.org/I86310350","display_name":"Aswan University","ror":"https://ror.org/048qnr849","country_code":"EG","type":"education","lineage":["https://openalex.org/I86310350"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Abdel-Nasser","raw_affiliation_strings":["Electronics and Communication Engineering Section, Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, 81528, Egypt","Electronics and Communication Engineering Section, Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, Egypt"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering Section, Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, 81528, Egypt","institution_ids":["https://openalex.org/I86310350"]},{"raw_affiliation_string":"Electronics and Communication Engineering Section, Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, Egypt","institution_ids":["https://openalex.org/I86310350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085126924","display_name":"Hatem A. Rashwan","orcid":"https://orcid.org/0000-0001-5421-1637"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universitat Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Hatem A. Rashwan","raw_affiliation_strings":["Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, 43002, Spain","Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, 43002, Spain","institution_ids":["https://openalex.org/I55952717"]},{"raw_affiliation_string":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004665770","display_name":"Dom\u00e8nec Puig","orcid":"https://orcid.org/0000-0002-0562-4205"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universitat Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Domenec Puig","raw_affiliation_strings":["Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, 43002, Spain","Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, 43002, Spain","institution_ids":["https://openalex.org/I55952717"]},{"raw_affiliation_string":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076307665","display_name":"G. C. Nandi","orcid":"https://orcid.org/0000-0001-9417-4439"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. C. Nandi","raw_affiliation_strings":["Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, 211012, Uttar Pradesh, India","Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, 211012, Uttar Pradesh, India","institution_ids":["https://openalex.org/I26072440"]},{"raw_affiliation_string":"Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, India","institution_ids":["https://openalex.org/I26072440"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075832691"],"corresponding_institution_ids":["https://openalex.org/I26072440","https://openalex.org/I55952717"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.6018,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67287373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"53","issue":"14","first_page":"18027","last_page":"18040"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8242901563644409},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6556708812713623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5821231603622437},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5597269535064697},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5573893785476685},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5023171901702881},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4650282561779022},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4644626975059509},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46137914061546326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.458903968334198},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4541877508163452},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42173996567726135},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4114339351654053},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.34196826815605164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8242901563644409},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6556708812713623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5821231603622437},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5597269535064697},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5573893785476685},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5023171901702881},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4650282561779022},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4644626975059509},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46137914061546326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.458903968334198},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4541877508163452},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42173996567726135},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4114339351654053},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.34196826815605164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-022-04419-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-04419-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04419-x.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10489-022-04419-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-04419-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04419-x.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4317627075.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1735317348","https://openalex.org/W1981276685","https://openalex.org/W2019839048","https://openalex.org/W2101032778","https://openalex.org/W2594167370","https://openalex.org/W2796747736","https://openalex.org/W2898365215","https://openalex.org/W2908684875","https://openalex.org/W2912290085","https://openalex.org/W2963046541","https://openalex.org/W2964047251","https://openalex.org/W2964203186","https://openalex.org/W2983925976","https://openalex.org/W2985076077","https://openalex.org/W3009828227","https://openalex.org/W3034230713","https://openalex.org/W3035545045","https://openalex.org/W3035711539","https://openalex.org/W3107501854","https://openalex.org/W3109717189","https://openalex.org/W3120695927","https://openalex.org/W3120953187","https://openalex.org/W3154724615","https://openalex.org/W3175808111","https://openalex.org/W3200861601","https://openalex.org/W3206743721","https://openalex.org/W4212975401","https://openalex.org/W4280497349","https://openalex.org/W4281757841"],"related_works":["https://openalex.org/W2093104230","https://openalex.org/W4390874210","https://openalex.org/W4384918963","https://openalex.org/W2128027845","https://openalex.org/W4386184937","https://openalex.org/W1493875009","https://openalex.org/W4388844349","https://openalex.org/W2105231718","https://openalex.org/W2153939756","https://openalex.org/W2019680624"],"abstract_inverted_index":{"Abstract":[0],"Predicting":[1],"human":[2],"motion":[3,8],"based":[4],"on":[5],"past":[6],"observed":[7],"is":[9,68],"one":[10],"of":[11,50,64,117,192,198,203,219,238],"the":[12,34,48,51,69,88,100,106,115,118,123,129,133,162,167,175,204,265],"challenging":[13],"issues":[14,49,85],"in":[15,76,201],"computer":[16],"vision":[17],"and":[18,32,45,57,95,121,144,181,183,194,210,234,244],"graphics.":[19],"Existing":[20],"research":[21,80],"works":[22],"are":[23,74,229,252,261],"dealing":[24],"with":[25,91,138,154,174],"this":[26],"issue":[27],"by":[28,86,109,160],"using":[29],"discriminative":[30,89],"models":[31,73],"showing":[33],"results":[35,218,260],"for":[36,223,235,242],"cases":[37],"that":[38,185],"follow":[39,60],"a":[40,61,92],"homogeneous":[41],"distribution":[42,150],"(in":[43],"distribution)":[44,65],"not":[46],"discussing":[47],"domain":[52,83,139],"shift":[53,84,140],"problem,":[54,66],"where":[55],"training":[56,143],"testing":[58,145],"data":[59,146],"heterogeneous":[62],"(out":[63],"which":[67],"reality":[70],"when":[71],"such":[72],"used":[75],"practice.":[77],"However,":[78],"recent":[79],"proposed":[81],"addressing":[82],"augmenting":[87],"model":[90,94,134,173,187],"generative":[93],"obtained":[96],"better":[97,263],"results.":[98,268],"In":[99],"present":[101],"investigation,":[102],"we":[103,156],"propose":[104],"regularizing":[105],"extended":[107],"network":[108,130,159,168],"inserting":[110],"linear":[111,164],"layers":[112,165],"to":[113,131,135,152,166],"minimize":[114],"rank":[116],"latent":[119],"space":[120],"train":[122],"entire":[124],"end-to-end":[125],"network.":[126],"We":[127,170],"regularize":[128],"strengthen":[132],"deal":[136,153],"effectively":[137],"scenarios.":[141],"Both":[142],"come":[147],"from":[148],"different":[149],"sets;":[151],"this,":[155],"toughen":[157],"our":[158,172,186],"adding":[161],"extra":[163],"encoder.":[169],"tested":[171],"benchmark":[176],"datasets,":[177],"CMU":[178,199,236],"Motion":[179],"Capture":[180],"Human3.6M,":[182],"proved":[184],"outperforms":[188],"14":[189,220],"OoD":[190,196,221,240],"actions":[191,197,222,241],"H3.6M":[193],"7":[195,239],"MoCap":[200,237],"terms":[202],"Euclidean":[205],"distance":[206],"calculated":[207],"between":[208],"predicted":[209],"ground":[211],"truth":[212],"joint":[213],"angle":[214],"values.":[215],"Our":[216],"average":[217],"short-term":[224,243],"(80,":[225,247],"160,":[226,248],"320,":[227,249],"400)":[228],"0.34,":[230],"0.6,":[231],"0.96,":[232],"1.07,":[233],"long":[245],"term":[246],"400,":[250],"1000)":[251],"0.28,":[253],"0.45,":[254],"0.77,":[255],"0.89,":[256],"1.46.":[257],"All":[258],"these":[259],"much":[262],"than":[264],"other":[266],"state-of-the-art":[267]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}