{"id":"https://openalex.org/W4387869757","doi":"https://doi.org/10.1109/iwis58789.2023.10284636","title":"3D Human Pose Estimation with Dilated Sampled Frames","display_name":"3D Human Pose Estimation with Dilated Sampled Frames","publication_year":2023,"publication_date":"2023-08-09","ids":{"openalex":"https://openalex.org/W4387869757","doi":"https://doi.org/10.1109/iwis58789.2023.10284636"},"language":"en","primary_location":{"id":"doi:10.1109/iwis58789.2023.10284636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwis58789.2023.10284636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Workshop on Intelligent Systems (IWIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5027784371","display_name":"G. F. Cao","orcid":"https://orcid.org/0000-0001-9135-3888"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ge Cao","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea, Republic of","Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea, Republic of"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea, Republic of","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea, Republic of","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080796190","display_name":"Qing Song Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qing Tang","raw_affiliation_strings":["Data Science Group, INTERX,Ulsan,Korea, Republic of","Data Science Group, INTERX, Ulsan, Korea, Republic of"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Group, INTERX,Ulsan,Korea, Republic of","institution_ids":[]},{"raw_affiliation_string":"Data Science Group, INTERX, Ulsan, Korea, Republic of","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022047491","display_name":"Tran Tien Dat","orcid":null},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tran Tien Dat","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea, Republic of","Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea, Republic of"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea, Republic of","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea, Republic of","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024175102","display_name":"Ashraf Uddin Russo","orcid":"https://orcid.org/0000-0001-5954-8116"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ashraf Uddin Russo","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea, Republic of","Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea, Republic of"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea, Republic of","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea, Republic of","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044448641","display_name":"Kang-Hyun Jo","orcid":"https://orcid.org/0000-0002-4937-7082"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kanghyun Jo","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea, Republic of","Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea, Republic of"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea, Republic of","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea, Republic of","institution_ids":["https://openalex.org/I40542001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9958999752998352,"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":0.994700014591217,"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/pose","display_name":"Pose","score":0.8934872150421143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7885487079620361},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.7432746291160583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7397994995117188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7095932960510254},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6053803563117981},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5367554426193237},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5057604312896729},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5037125945091248},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.4740026891231537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3689870536327362},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1867872178554535},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.081423819065094}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8934872150421143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7885487079620361},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.7432746291160583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7397994995117188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095932960510254},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6053803563117981},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5367554426193237},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5057604312896729},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5037125945091248},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.4740026891231537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3689870536327362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1867872178554535},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.081423819065094},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwis58789.2023.10284636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwis58789.2023.10284636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Workshop on Intelligent Systems (IWIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2101032778","https://openalex.org/W2798646183","https://openalex.org/W2809890486","https://openalex.org/W2934361577","https://openalex.org/W2962896489","https://openalex.org/W2964016027","https://openalex.org/W2972662547","https://openalex.org/W3022928074","https://openalex.org/W3094502228","https://openalex.org/W3098473649","https://openalex.org/W3112574648","https://openalex.org/W3136525061","https://openalex.org/W3173811519","https://openalex.org/W3174541392","https://openalex.org/W3202716970","https://openalex.org/W4200316912","https://openalex.org/W4312275869","https://openalex.org/W4386083126","https://openalex.org/W6675057230","https://openalex.org/W6760713527","https://openalex.org/W6767768160","https://openalex.org/W6793994224","https://openalex.org/W6801811490","https://openalex.org/W6810386292","https://openalex.org/W6851589183"],"related_works":["https://openalex.org/W2113785214","https://openalex.org/W2946083937","https://openalex.org/W2798721181","https://openalex.org/W4299867837","https://openalex.org/W4386075737","https://openalex.org/W2951583186","https://openalex.org/W1974260915","https://openalex.org/W4382141741","https://openalex.org/W4294967731","https://openalex.org/W4394784820"],"abstract_inverted_index":{"Three-dimensional":[0],"(3D)":[1],"human":[2,15,40,65,89,110],"pose":[3,16,41,66,90,111],"estimation":[4],"(HPE)":[5],"targets":[6],"to":[7],"produce":[8],"the":[9,14,34,37,46,50,55,69,74,95,105,108,116,122,127],"3D":[10,20,39,109],"spatial":[11],"coordinates":[12,35],"of":[13,36,71,79,107,126],"from":[17,49],"2D":[18,47,64],"images.":[19],"HPE":[21],"is":[22],"a":[23,60,77,99],"basic":[24],"computer":[25],"vision":[26],"task":[27],"for":[28],"many":[29],"intelligent":[30],"industrial":[31],"applications.":[32],"Commonly,":[33],"predicted":[38],"joints":[42],"are":[43,102],"calculated":[44],"through":[45],"keypoint":[48],"ground":[51],"truth":[52],"provided":[53],"by":[54,59],"datasets":[56],"or":[57],"generated":[58],"classical":[61],"and":[62,124],"robust":[63],"estimator.":[67,112],"With":[68],"development":[70],"transformer-based":[72],"methods,":[73],"methods":[75],"with":[76,98],"sequence":[78],"monocular":[80],"images":[81],"have":[82],"achieved":[83],"great":[84],"success":[85],"in":[86],"2D-to-3D":[87],"lifting":[88],"estimation.":[91],"In":[92],"this":[93],"paper,":[94],"sampled":[96],"frames":[97],"dilated":[100],"ratio":[101],"given":[103],"as":[104],"input":[106],"Extensive":[113],"experiments":[114],"on":[115],"public":[117],"benchmark":[118],"Human":[119],"3.6M":[120],"demonstrate":[121],"significance":[123],"effectiveness":[125],"proposed":[128],"method.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}