{"id":"https://openalex.org/W3089874433","doi":"https://doi.org/10.1109/icra40945.2020.9197299","title":"Hand Pose Estimation for Hand-Object Interaction Cases using Augmented Autoencoder","display_name":"Hand Pose Estimation for Hand-Object Interaction Cases using Augmented Autoencoder","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3089874433","doi":"https://doi.org/10.1109/icra40945.2020.9197299","mag":"3089874433"},"language":"en","primary_location":{"id":"doi:10.1109/icra40945.2020.9197299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra40945.2020.9197299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://mediatum.ub.tum.de/1584088","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079245187","display_name":"Shile Li","orcid":"https://orcid.org/0000-0001-9093-2159"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Shile Li","raw_affiliation_strings":["Human-centered Assistive Robotic, Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Human-centered Assistive Robotic, Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735476","display_name":"Haojie Wang","orcid":"https://orcid.org/0000-0003-4605-148X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Haojie Wang","raw_affiliation_strings":["Human-centered Assistive Robotic, Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Human-centered Assistive Robotic, Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088081800","display_name":"Dongheui Lee","orcid":"https://orcid.org/0000-0003-1897-7664"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dongheui Lee","raw_affiliation_strings":["Human-centered Assistive Robotic, Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Human-centered Assistive Robotic, Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079245187"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.6876,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72404962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"993","last_page":"999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9973000288009644,"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/autoencoder","display_name":"Autoencoder","score":0.9031770825386047},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8046743869781494},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7978993654251099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7575169801712036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7507239580154419},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7227915525436401},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6976951956748962},{"id":"https://openalex.org/keywords/decodes","display_name":"Decodes","score":0.6804578304290771},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5176447033882141},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45918792486190796},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45360100269317627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4345693290233612},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.4283865988254547},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.4195420444011688},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41424083709716797},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.19445517659187317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10978049039840698},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07703429460525513}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9031770825386047},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8046743869781494},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7978993654251099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575169801712036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7507239580154419},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7227915525436401},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6976951956748962},{"id":"https://openalex.org/C2778858076","wikidata":"https://www.wikidata.org/wiki/Q5249539","display_name":"Decodes","level":3,"score":0.6804578304290771},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5176447033882141},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45918792486190796},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45360100269317627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4345693290233612},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.4283865988254547},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.4195420444011688},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41424083709716797},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.19445517659187317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10978049039840698},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07703429460525513},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icra40945.2020.9197299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra40945.2020.9197299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:139079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ICRA40945.2020.9197299>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1584088","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1584088","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:mediatum.ub.tum.de:node/1584088","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1584088","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"ConferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1702419847","https://openalex.org/W1959608418","https://openalex.org/W1986014385","https://openalex.org/W2065228210","https://openalex.org/W2082322650","https://openalex.org/W2082723833","https://openalex.org/W2130399002","https://openalex.org/W2143668817","https://openalex.org/W2150457612","https://openalex.org/W2153169563","https://openalex.org/W2213832156","https://openalex.org/W2227547437","https://openalex.org/W2342277278","https://openalex.org/W2543872873","https://openalex.org/W2560722161","https://openalex.org/W2605973302","https://openalex.org/W2606627193","https://openalex.org/W2606965392","https://openalex.org/W2724168988","https://openalex.org/W2727891399","https://openalex.org/W2737305288","https://openalex.org/W2768683308","https://openalex.org/W2796426482","https://openalex.org/W2796453247","https://openalex.org/W2799191197","https://openalex.org/W2895439318","https://openalex.org/W2903283814","https://openalex.org/W2951004968","https://openalex.org/W2962811204","https://openalex.org/W2962926199","https://openalex.org/W2963091746","https://openalex.org/W2963121255","https://openalex.org/W2963207848","https://openalex.org/W2963377353","https://openalex.org/W2963601560","https://openalex.org/W2963637380","https://openalex.org/W2963950354","https://openalex.org/W2964016804","https://openalex.org/W2968722025","https://openalex.org/W2979577579","https://openalex.org/W2982601397","https://openalex.org/W2984624776","https://openalex.org/W4210998496","https://openalex.org/W4233641747","https://openalex.org/W4394671432","https://openalex.org/W6632670039","https://openalex.org/W6637606113","https://openalex.org/W6640963894","https://openalex.org/W6687484953","https://openalex.org/W6688634332","https://openalex.org/W6736832757","https://openalex.org/W6737010497","https://openalex.org/W6739778489","https://openalex.org/W6740431147","https://openalex.org/W6749832877","https://openalex.org/W6754838991"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W3089306886","https://openalex.org/W2983142544","https://openalex.org/W2113785214","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W2891059443","https://openalex.org/W4387967917","https://openalex.org/W4312694060","https://openalex.org/W4386075737"],"abstract_inverted_index":{"Hand":[0],"pose":[1,70,110],"estimation":[2,111],"with":[3,45,112],"objects":[4],"is":[5],"challenging":[6],"due":[7],"to":[8,55,74,81],"object":[9,48],"occlusion":[10],"and":[11,51,71,91,98],"the":[12,53,59,62,83,86],"lack":[13],"of":[14,42,58,85,120],"large":[15],"annotated":[16,121],"datasets.":[17],"To":[18],"tackle":[19],"these":[20],"issues,":[21],"we":[22,72,104],"propose":[23,73],"an":[24,46,76],"Augmented":[25],"Autoencoder":[26],"based":[27],"deep":[28],"learning":[29],"method":[30,37,66],"using":[31,115],"augmented":[32,47],"clean":[33],"hand":[34,44,69,109],"data.":[35],"Our":[36],"takes":[38],"3D":[39,68],"point":[40,78],"cloud":[41,79],"a":[43,117],"as":[49],"input":[50,54],"encodes":[52],"latent":[56,63,87],"representation":[57],"hand.":[60],"From":[61],"representation,":[64],"our":[65],"decodes":[67],"use":[75],"auxiliary":[77],"decoder":[80],"assist":[82],"formation":[84],"space.":[88],"Through":[89],"quantitative":[90],"qualitative":[92],"evaluation":[93],"on":[94],"both":[95],"synthetic":[96],"dataset":[97],"real":[99],"captured":[100],"data":[101],"containing":[102],"objects,":[103,113],"demonstrate":[105],"state-of-the-art":[106],"performance":[107],"for":[108],"even":[114],"only":[116],"small":[118],"number":[119],"hand-object":[122],"samples.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
