{"id":"https://openalex.org/W2608288619","doi":"https://doi.org/10.1109/icpr.2016.7899702","title":"Deep learning for integrated hand detection and pose estimation","display_name":"Deep learning for integrated hand detection and pose estimation","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608288619","doi":"https://doi.org/10.1109/icpr.2016.7899702","mag":"2608288619"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd 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/A5058284526","display_name":"Tzu-Yang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu-Yang Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101361944","display_name":"Min-Yu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Yu Wu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082370296","display_name":"Yu-Hsun Hsieh","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Hsun Hsieh","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101925654","display_name":"Li\u2010Chen Fu","orcid":"https://orcid.org/0000-0002-6947-7646"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Chen Fu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":1.4916,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88648292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"615","last_page":"620"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9976999759674072,"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":0.8353193998336792},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.809128999710083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7708359956741333},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7696921229362488},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7138827443122864},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6539655923843384},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6454349160194397},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5319783091545105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5183718800544739},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4876648187637329},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46565133333206177},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4225672483444214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3833337724208832}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8353193998336792},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.809128999710083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7708359956741333},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7696921229362488},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7138827443122864},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6539655923843384},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6454349160194397},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5319783091545105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5183718800544739},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4876648187637329},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46565133333206177},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4225672483444214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3833337724208832},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1702419847","https://openalex.org/W1849277567","https://openalex.org/W1990947293","https://openalex.org/W2031489346","https://openalex.org/W2056898157","https://openalex.org/W2060280062","https://openalex.org/W2075156252","https://openalex.org/W2088049833","https://openalex.org/W2093414253","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2110619642","https://openalex.org/W2113325037","https://openalex.org/W2117539524","https://openalex.org/W2132928347","https://openalex.org/W2155893237","https://openalex.org/W2210697964","https://openalex.org/W2214145768","https://openalex.org/W2613718673","https://openalex.org/W6620707391","https://openalex.org/W6637606113","https://openalex.org/W6639204139"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2949096641","https://openalex.org/W2969228573","https://openalex.org/W2970686063","https://openalex.org/W4320729701"],"abstract_inverted_index":{"We":[0],"propose":[1,85],"a":[2,38,47,86],"novel":[3],"framework":[4],"which":[5,22],"integrates":[6],"human":[7,43,75],"hand":[8,80],"detection":[9],"and":[10,72,77,108,118],"pose":[11,27,81],"estimation":[12,28],"into":[13],"one":[14],"single":[15],"pipeline.":[16],"Unlike":[17],"most":[18],"of":[19,95],"previous":[20],"works":[21],"only":[23],"focus":[24],"on":[25,37],"the":[26,63,92,101,109],"part":[29],"subject":[30],"to":[31,41,51,90],"some":[32],"strong":[33],"assumptions":[34],"or":[35],"relying":[36],"weak":[39],"detector":[40],"detect":[42,74],"hands,":[44],"we":[45,84],"employ":[46],"deep":[48],"learning":[49,68],"architecture":[50,69],"complete":[52],"both":[53],"aforementioned":[54],"tasks.":[55],"By":[56],"letting":[57],"three":[58],"different":[59],"neural":[60,97],"networks":[61],"share":[62],"convolutional":[64,96],"layers,":[65],"this":[66],"deeply":[67],"can":[70],"efficiently":[71],"accurately":[73],"hands":[76],"compute":[78],"their":[79],"configuration.":[82],"Moreover,":[83],"new":[87],"energy":[88],"function":[89],"optimize":[91],"predicted":[93],"result":[94],"network.":[98],"To":[99],"validate":[100],"proposed":[102],"framework,":[103],"experiments":[104],"have":[105],"been":[106],"conducted":[107],"results":[110],"show":[111],"that":[112],"our":[113],"approach":[114],"is":[115],"highly":[116],"reliable":[117],"suitable":[119],"for":[120],"real-world":[121],"applications.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
