{"id":"https://openalex.org/W2902887961","doi":"https://doi.org/10.1109/icpr.2018.8545869","title":"Hard Zero Shot Learning for Gesture Recognition","display_name":"Hard Zero Shot Learning for Gesture Recognition","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902887961","doi":"https://doi.org/10.1109/icpr.2018.8545869","mag":"2902887961"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-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/A5014853772","display_name":"Naveen Madapana","orcid":"https://orcid.org/0000-0002-4812-2934"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Naveen Madapana","raw_affiliation_strings":["School of Industrial Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072528523","display_name":"Juan Wachs","orcid":"https://orcid.org/0000-0002-6425-5745"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan P. Wachs","raw_affiliation_strings":["School of Industrial Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014853772"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":1.0865,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78823181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"37","issue":null,"first_page":"3574","last_page":"3579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11285","display_name":"Hearing Impairment and Communication","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9772999882698059,"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":0.7479149103164673},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7471245527267456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.704298198223114},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6283953785896301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5765219330787659},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5563668608665466},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5138316750526428},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.44930461049079895},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.42176905274391174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479149103164673},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7471245527267456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.704298198223114},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6283953785896301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5765219330787659},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5563668608665466},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5138316750526428},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.44930461049079895},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.42176905274391174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W93016980","https://openalex.org/W652269744","https://openalex.org/W1969595749","https://openalex.org/W1977995219","https://openalex.org/W2016877042","https://openalex.org/W2031063789","https://openalex.org/W2051469172","https://openalex.org/W2070148066","https://openalex.org/W2098411764","https://openalex.org/W2115733720","https://openalex.org/W2115860293","https://openalex.org/W2124033848","https://openalex.org/W2128532956","https://openalex.org/W2134270519","https://openalex.org/W2141350700","https://openalex.org/W2141599568","https://openalex.org/W2150295085","https://openalex.org/W2150421899","https://openalex.org/W2162708558","https://openalex.org/W2250539671","https://openalex.org/W2293753755","https://openalex.org/W2400717490","https://openalex.org/W2554781380","https://openalex.org/W2601096423","https://openalex.org/W2611632661","https://openalex.org/W2726318948","https://openalex.org/W2768009693","https://openalex.org/W2963538198","https://openalex.org/W3099554308","https://openalex.org/W3143107425","https://openalex.org/W3146079624","https://openalex.org/W6678360021","https://openalex.org/W6680890276","https://openalex.org/W6682222085"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Gesture":[0],"based":[1],"systems":[2,19,38,71],"allow":[3],"humans":[4],"to":[5,39,41,66,81,116,128,149,160,177,221],"interact":[6],"with":[7,132,157],"devices":[8],"and":[9,85,99,111,136,162,186,203,217,234,247],"robots":[10],"in":[11,58,73],"a":[12,26,56],"natural":[13],"way.":[14],"Yet,":[15],"current":[16],"gesture":[17,169],"recognition":[18],"can":[20,47],"not":[21,236],"recognize":[22,67,129],"the":[23,31,63,74,138,164,188,212,222,243],"gestures":[24,197],"outside":[25],"limited":[27,133],"lexicon.":[28],"This":[29,94],"opposes":[30],"idea":[32],"of":[33,78,124,166,190,215,224,245],"lifelong":[34],"learning":[35,60,102,153],"which":[36],"require":[37],"adapt":[40],"unseen":[42,92,130,145,182,207],"object":[43],"classes.":[44,69,93,146,183],"These":[45],"issues":[46],"be":[48],"best":[49],"addressed":[50],"using":[51,198],"Zero":[52,107],"Shot":[53,108],"Learning":[54,109],"(ZSL),":[55],"paradigm":[57],"machine":[59],"that":[61,87,140,211,228,238],"leverages":[62],"semantic":[64],"information":[65,135],"new":[68,83],"ZSL":[70,158],"developed":[72],"past":[75],"used":[76,176,230],"hundreds":[77],"training":[79,134],"examples":[80,89],"detect":[82],"classes":[84,131,180,240],"assumed":[86],"test":[88,141,239],"come":[90,143],"from":[91,144,181],"work":[95],"introduces":[96],"two":[97,199],"complex":[98],"more":[100],"realistic":[101],"problems":[103,126],"referred":[104],"as":[105],"Hard":[106],"(HZSL)":[110],"Generalized":[112],"HZSL":[113,167,195,246],"(G-HZSL)":[114],"necessary":[115],"achieve":[117],"Life":[118],"Long":[119],"Learning.":[120],"The":[121],"main":[122],"objective":[123],"these":[125],"is":[127],"relax":[137],"assumption":[139],"instances":[142],"We":[147,184],"propose":[148],"leverage":[150],"one":[151,232],"shot":[152],"(OSL)":[154],"techniques":[155,174],"coupled":[156],"approaches":[159],"address":[161],"solve":[163],"problem":[165],"for":[168,196],"recognition.":[170],"Further,":[171],"supervised":[172],"clustering":[173],"are":[175,219,241],"discriminate":[178],"seen":[179],"assessed":[185],"compared":[187],"performance":[189,223,244],"various":[191],"existing":[192],"algorithms":[193],"on":[194],"standard":[200],"datasets:":[201],"MSRC-12":[202],"CGD2011.":[204],"For":[205],"four":[206],"classes,":[208],"results":[209],"show":[210],"marginal":[213],"accuracy":[214],"HZSL-15.2%":[216],"G-HZSL-14.39%":[218],"comparable":[220],"conventional":[225],"ZSL.":[226],"Given":[227],"we":[229],"only":[231],"instance":[233],"do":[235],"assume":[237],"unseen,":[242],"G-HZSL":[248],"models":[249],"were":[250],"remarkable.":[251]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
