{"id":"https://openalex.org/W4390241289","doi":"https://doi.org/10.1109/tmm.2023.3347095","title":"Frame-Padded Multiscale Transformer for Monocular 3D Human Pose Estimation","display_name":"Frame-Padded Multiscale Transformer for Monocular 3D Human Pose Estimation","publication_year":2023,"publication_date":"2023-12-26","ids":{"openalex":"https://openalex.org/W4390241289","doi":"https://doi.org/10.1109/tmm.2023.3347095"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3347095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3347095","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5030673454","display_name":"Yuanhong Zhong","orcid":"https://orcid.org/0000-0001-5689-1146"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhong Zhong","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-5689-1146","affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017028852","display_name":"Guangxia Yang","orcid":"https://orcid.org/0009-0003-6229-5617"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangxia Yang","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0003-6229-5617","affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038770085","display_name":"Daidi Zhong","orcid":"https://orcid.org/0000-0002-9879-4915"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daidi Zhong","raw_affiliation_strings":["Bioengineering College of Chongqing University, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-9879-4915","affiliations":[{"raw_affiliation_string":"Bioengineering College of Chongqing University, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034737032","display_name":"Xun Yang","orcid":"https://orcid.org/0000-0003-0201-1638"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Yang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0201-1638","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090034491","display_name":"Shanshan Wang","orcid":"https://orcid.org/0000-0002-3824-687X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Wang","raw_affiliation_strings":["Institutes of Physical Science and Information Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3824-687X","affiliations":[{"raw_affiliation_string":"Institutes of Physical Science and Information Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2351,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.823685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"6191","last_page":"6201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9923999905586243,"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":0.9800999760627747,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8335943818092346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7132662534713745},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6740052103996277},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5669450163841248},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.561687707901001},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5608773231506348},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5126072764396667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4372316002845764},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.41191965341567993}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8335943818092346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7132662534713745},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6740052103996277},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5669450163841248},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.561687707901001},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5608773231506348},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5126072764396667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4372316002845764},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.41191965341567993},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3347095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3347095","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1040185051","display_name":null,"funder_award_id":"62272435","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3588822669","display_name":null,"funder_award_id":"62106003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3921365549","display_name":null,"funder_award_id":"62372074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G405190135","display_name":null,"funder_award_id":"U22A2094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2101032778","https://openalex.org/W2118931255","https://openalex.org/W2559085405","https://openalex.org/W2611932403","https://openalex.org/W2612706635","https://openalex.org/W2769237672","https://openalex.org/W2792270354","https://openalex.org/W2797184202","https://openalex.org/W2895689136","https://openalex.org/W2962896489","https://openalex.org/W2963876278","https://openalex.org/W2963995996","https://openalex.org/W2964221239","https://openalex.org/W2969450957","https://openalex.org/W2970285700","https://openalex.org/W2972662547","https://openalex.org/W2981637078","https://openalex.org/W2998273692","https://openalex.org/W3014641072","https://openalex.org/W3023254696","https://openalex.org/W3033909069","https://openalex.org/W3034217102","https://openalex.org/W3034448411","https://openalex.org/W3034581612","https://openalex.org/W3035072447","https://openalex.org/W3035416506","https://openalex.org/W3035551320","https://openalex.org/W3098473649","https://openalex.org/W3106838237","https://openalex.org/W3107320732","https://openalex.org/W3126541466","https://openalex.org/W3131500599","https://openalex.org/W3136525061","https://openalex.org/W3138516171","https://openalex.org/W3169891778","https://openalex.org/W3173811519","https://openalex.org/W3175199633","https://openalex.org/W3195639294","https://openalex.org/W4221028343","https://openalex.org/W4225557002","https://openalex.org/W4226095747","https://openalex.org/W4226147466","https://openalex.org/W4226374907","https://openalex.org/W4283021119","https://openalex.org/W4283377921","https://openalex.org/W4312249545","https://openalex.org/W4312417903","https://openalex.org/W4312797994","https://openalex.org/W4312799843","https://openalex.org/W4312982586","https://openalex.org/W4319300161","https://openalex.org/W4377371545","https://openalex.org/W4382457852","https://openalex.org/W4385245566","https://openalex.org/W4385767582","https://openalex.org/W4385767754","https://openalex.org/W4386083126","https://openalex.org/W4389298891","https://openalex.org/W4390872466","https://openalex.org/W6631190155","https://openalex.org/W6679436768","https://openalex.org/W6766771472","https://openalex.org/W6853356578"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2894986065","https://openalex.org/W200819717","https://openalex.org/W4387967917","https://openalex.org/W4287600488","https://openalex.org/W4386925306","https://openalex.org/W2032269556","https://openalex.org/W3101088080","https://openalex.org/W4307623796"],"abstract_inverted_index":{"Monocular":[0],"3D":[1,137],"human":[2,138,150],"pose":[3,27,151],"estimation":[4],"is":[5,75],"an":[6],"ill-posed":[7],"problem":[8],"in":[9,72,118,125],"computer":[10],"vision":[11],"due":[12],"to":[13,57,144],"its":[14],"depth":[15,22],"ambiguity.":[16],"Most":[17],"existing":[18,119],"works":[19],"supplement":[20],"the":[21,58,66,87,109,112,126,133,146,157],"information":[23,62,135],"by":[24,121],"extracting":[25],"temporal":[26,68,82,103,113,134],"features":[28,114],"from":[29],"video":[30,46,96,123],"frames,":[31],"and":[32,100,167],"they":[33],"have":[34],"made":[35],"notable":[36],"progress.":[37],"However,":[38],"these":[39],"approaches":[40,120],"divide":[41],"a":[42,73,94,101,141],"long":[43],"sequence":[44,74,97],"of":[45,60,111,115,136,149,159],"frames":[47,71,117,124],"into":[48],"multiple":[49],"short":[50],"sequences":[51],"for":[52],"separate":[53],"processing,":[54],"which":[55,92],"leads":[56],"loss":[59],"complementary":[61],"between":[63],"sequences.":[64],"Furthermore,":[65],"short-term":[67,147],"correlation":[69,148],"among":[70],"often":[76],"not":[77],"fully":[78],"exploited.":[79],"To":[80],"model":[81],"dependencies":[83],"efficiently,":[84],"we":[85,131],"propose":[86],"frame-padded":[88,95],"multiscale":[89,102,142],"transformer":[90,104,143],"approach,":[91],"includes":[93],"preprocessing":[98],"step":[99],"backbone.":[105],"Our":[106],"approach":[107,161,174],"addresses":[108],"omission":[110],"edge":[116],"padding":[122],"shallow":[127],"layer.":[128],"In":[129],"addition,":[130],"extract":[132],"poses":[139],"using":[140],"enhance":[145],"skeleton":[152],"keypoints.":[153],"Extensive":[154],"experiments":[155],"validate":[156],"effectiveness":[158],"our":[160,173],"on":[162],"two":[163],"popular":[164],"datasets:":[165],"Human3.6M":[166],"MPI-INF-3DHP.":[168],"The":[169],"results":[170],"show":[171],"that":[172],"achieves":[175],"state-of-the-art":[176],"performance.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
