{"id":"https://openalex.org/W2958367390","doi":"https://doi.org/10.1109/fg.2019.8756559","title":"Deep Conditional Variational Estimation for Depth-Based Hand Poses","display_name":"Deep Conditional Variational Estimation for Depth-Based Hand Poses","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2958367390","doi":"https://doi.org/10.1109/fg.2019.8756559","mag":"2958367390"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2019.8756559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2019.8756559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th IEEE International Conference on Automatic Face &amp; Gesture Recognition (FG 2019)","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/A5100777701","display_name":"Lu Xu","orcid":"https://orcid.org/0000-0003-3944-2175"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Xu","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018178311","display_name":"Chen Hu","orcid":"https://orcid.org/0000-0001-6587-4225"},"institutions":[{"id":"https://openalex.org/I2801618472","display_name":"PLA Rocket Force University of Engineering","ror":"https://ror.org/00gg5zj35","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801618472"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Hu","raw_affiliation_strings":["Rocket Force University of Engineering, Xi\u2019an, China","Rocket Force University of Engineering, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Rocket Force University of Engineering, Xi\u2019an, China","institution_ids":["https://openalex.org/I2801618472"]},{"raw_affiliation_string":"Rocket Force University of Engineering, Xi'an, China","institution_ids":["https://openalex.org/I2801618472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101655180","display_name":"Yinqi Li","orcid":"https://orcid.org/0009-0003-4846-5261"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinqi Li","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053696938","display_name":"Jiran Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiran Tao","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100516968","display_name":"Jianru Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianru Xue","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034840700","display_name":"Kuizhi Mei","orcid":"https://orcid.org/0000-0002-8119-3726"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuizhi Mei","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100777701"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52829646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.972100019454956,"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/autoencoder","display_name":"Autoencoder","score":0.7858856916427612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.704987108707428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6935491561889648},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.64332515001297},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6190741658210754},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5366489291191101},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.530539333820343},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.528676450252533},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.49223533272743225},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4893798232078552},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4724859595298767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4582045078277588},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4155518710613251},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3484881520271301},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2962900400161743}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7858856916427612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704987108707428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6935491561889648},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.64332515001297},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6190741658210754},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5366489291191101},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.530539333820343},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.528676450252533},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.49223533272743225},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4893798232078552},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4724859595298767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4582045078277588},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4155518710613251},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3484881520271301},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2962900400161743},{"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/fg.2019.8756559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2019.8756559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th IEEE International Conference on Automatic Face &amp; Gesture Recognition (FG 2019)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1702419847","https://openalex.org/W1850742715","https://openalex.org/W1909320841","https://openalex.org/W1917120379","https://openalex.org/W1928739709","https://openalex.org/W1959608418","https://openalex.org/W2075156252","https://openalex.org/W2097117768","https://openalex.org/W2109255472","https://openalex.org/W2188365844","https://openalex.org/W2210697964","https://openalex.org/W2467604901","https://openalex.org/W2470142083","https://openalex.org/W2521041279","https://openalex.org/W2557283755","https://openalex.org/W2560502266","https://openalex.org/W2587626861","https://openalex.org/W2619078928","https://openalex.org/W2625186681","https://openalex.org/W2737305288","https://openalex.org/W2750326862","https://openalex.org/W2796453247","https://openalex.org/W2796717907","https://openalex.org/W2962741254","https://openalex.org/W2963119249","https://openalex.org/W2963567641","https://openalex.org/W2963613382","https://openalex.org/W2963950354","https://openalex.org/W3105217837","https://openalex.org/W4295723303","https://openalex.org/W6637606113","https://openalex.org/W6639118987","https://openalex.org/W6639732818","https://openalex.org/W6640963894","https://openalex.org/W6687045409","https://openalex.org/W6719699370","https://openalex.org/W6720208624","https://openalex.org/W6730393939","https://openalex.org/W6738147734","https://openalex.org/W6739895683","https://openalex.org/W6743547550","https://openalex.org/W6744140358","https://openalex.org/W6746431301"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2803255133","https://openalex.org/W2988134182"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,29,47,69,82,85,113],"novel":[3],"and":[4,68],"effective":[5],"approach":[6,139],"for":[7,50,87],"3D":[8],"hand":[9],"pose":[10,39,89],"estimation":[11],"on":[12,27,105],"single":[13],"depth":[14,22,107],"image.":[15],"Instead":[16],"of":[17,38,60,121,136],"doing":[18],"deterministic":[19],"regression":[20,120,146],"from":[21],"images,":[23],"our":[24,137],"model":[25,33,49],"focuses":[26],"learning":[28],"latent":[30,79],"distribution":[31],"to":[32,99,116,142],"the":[34,54,58,78,88,97,101,118,122,134],"high":[35],"dimensional":[36],"space":[37],"joints,":[40],"which":[41,64],"can":[42,126],"also":[43],"be":[44,127],"interpreted":[45],"as":[46,81],"kinematics":[48],"human":[51],"hands.":[52],"Specifically,":[53],"proposed":[55,138],"network":[56],"combines":[57],"framework":[59],"conditional":[61],"variational":[62],"autoencoder":[63],"learns":[65],"an":[66],"encoder":[67,76],"decoder":[70,98],"with":[71],"standard":[72],"convolutional":[73],"network.":[74,123],"The":[75,124],"models":[77],"variable":[80],"prior":[83],"or":[84],"regularization":[86],"joints.":[90],"Then":[91],"probabilistic":[92],"inference":[93],"is":[94],"performed":[95],"by":[96],"generate":[100],"output":[102],"prediction":[103],"conditioned":[104],"input":[106],"images.":[108],"In":[109,130],"addition,":[110],"we":[111,132],"introduce":[112],"pool-convolution":[114],"module":[115],"improve":[117],"localization":[119],"architecture":[125],"trained":[128],"end-to-end.":[129],"experiments,":[131],"demonstrate":[133],"effectiveness":[135],"in":[140],"comparison":[141],"various":[143],"state-of-art":[144],"holistic":[145],"approaches.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
