{"id":"https://openalex.org/W4297989763","doi":"https://doi.org/10.1109/3dv57658.2022.00053","title":"TEACH: Temporal Action Composition for 3D Humans","display_name":"TEACH: Temporal Action Composition for 3D Humans","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4297989763","doi":"https://doi.org/10.1109/3dv57658.2022.00053"},"language":"en","primary_location":{"id":"doi:10.1109/3dv57658.2022.00053","doi":"https://doi.org/10.1109/3dv57658.2022.00053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv57658.2022.00053","pdf_url":null,"source":{"id":"https://openalex.org/S4363608458","display_name":"International Conference on 3D Vision (3DV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2209.04066","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078968629","display_name":"Nikos Athanasiou","orcid":"https://orcid.org/0000-0002-4722-6635","observed_orcids":["https://orcid.org/0000-0002-4722-6635"]},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nikos Athanasiou","raw_affiliation_strings":["Max Planck Institute for Intelligent Systems,Tübingen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Intelligent Systems,Tübingen,Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091623941","display_name":"Mathis Petrovich","orcid":"https://orcid.org/0000-0002-0859-1170","observed_orcids":["https://orcid.org/0000-0002-0859-1170"]},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mathis Petrovich","raw_affiliation_strings":["Max Planck Institute for Intelligent Systems,Tübingen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Intelligent Systems,Tübingen,Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026037617","display_name":"Michael J. Black","orcid":"https://orcid.org/0000-0003-0571-0936","observed_orcids":["https://orcid.org/0000-0003-0571-0936"]},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael J. Black","raw_affiliation_strings":["Max Planck Institute for Intelligent Systems,Tübingen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Intelligent Systems,Tübingen,Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024292507","display_name":"G\u00fcl Varol","orcid":"https://orcid.org/0000-0002-8438-6152","observed_orcids":["https://orcid.org/0000-0002-8438-6152"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I2800365227","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227","https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G\u00fcl Varol","raw_affiliation_strings":["LIGM, École des Ponts, Univ Gustave Eiffel, CNRS,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIGM, École des Ponts, Univ Gustave Eiffel, CNRS,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210152518","https://openalex.org/I4210154111"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.1046,"has_fulltext":true,"cited_by_count":168,"citation_normalized_percentile":{"value":0.97736733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"414","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T12290","display_name":"Human Motion and Animation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":9.999999747378752e-05,"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/action-sequences","display_name":"action sequences","score":0.8629999756813049},{"id":"https://openalex.org/keywords/hierarchical-transformer","display_name":"hierarchical transformer","score":0.574999988079071},{"id":"https://openalex.org/keywords/non-autoregressive-generation","display_name":"non-autoregressive generation","score":0.7120000123977661},{"id":"https://openalex.org/keywords/natural-language-descriptions","display_name":"natural language descriptions","score":0.4560000002384186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7856258153915405},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5922882556915283},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5897315740585327},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5345145463943481},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5332555174827576},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5143016576766968},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5063587427139282},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5009806156158447},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5000221729278564},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.495508074760437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48087576031684875},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4676736295223236},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34793752431869507},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12031418085098267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0904163122177124},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/3dv57658.2022.00053","doi":"https://doi.org/10.1109/3dv57658.2022.00053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv57658.2022.00053","pdf_url":null,"source":{"id":"https://openalex.org/S4363608458","display_name":"International Conference on 3D Vision (3DV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2209.04066","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.04066","pdf_url":"https://arxiv.org/pdf/2209.04066","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-03791786v1","doi":null,"is_oa":false,"landing_page_url":"https://inria.hal.science/hal-03791786","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on 3D Vision 2022, Sep 2022, Prague, Czech Republic. pp.414-423, ⟨10.1109/3DV57658.2022.00053⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2209.04066","doi":"https://doi.org/10.48550/arxiv.2209.04066","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2209.04066","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2209.04066","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.04066","pdf_url":"https://arxiv.org/pdf/2209.04066","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G388094421","display_name":"Translating sign language with computer vision","funder_award_id":"ANR-21-CE23-0003","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8777520260","display_name":null,"funder_award_id":"CE23-0003","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320326256","display_name":"Grand \u00c9quipement National De Calcul Intensif","ror":"https://ror.org/0010d1q40"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297989763.pdf","grobid_xml":"https://content.openalex.org/works/W4297989763.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W107615784","https://openalex.org/W1536003180","https://openalex.org/W1735317348","https://openalex.org/W1803024989","https://openalex.org/W1970552420","https://openalex.org/W1991366868","https://openalex.org/W2120852816","https://openalex.org/W2141933285","https://openalex.org/W2469134594","https://openalex.org/W2474702929","https://openalex.org/W2611706523","https://openalex.org/W2614034469","https://openalex.org/W2767063142","https://openalex.org/W2769460278","https://openalex.org/W2801567109","https://openalex.org/W2892040300","https://openalex.org/W2894996011","https://openalex.org/W2895138769","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2928521819","https://openalex.org/W2949924544","https://openalex.org/W2954878489","https://openalex.org/W2963341956","https://openalex.org/W2978017171","https://openalex.org/W2979708657","https://openalex.org/W2983796203","https://openalex.org/W2986708244","https://openalex.org/W3002101995","https://openalex.org/W3025978279","https://openalex.org/W3034514130","https://openalex.org/W3048474702","https://openalex.org/W3048539707","https://openalex.org/W3048550213","https://openalex.org/W3094548594","https://openalex.org/W3108262631","https://openalex.org/W3144253442","https://openalex.org/W3153832461","https://openalex.org/W3167478287","https://openalex.org/W3168846097","https://openalex.org/W3193979160","https://openalex.org/W3204221554","https://openalex.org/W4200526174","https://openalex.org/W4213187341","https://openalex.org/W4221138731","https://openalex.org/W4221155299","https://openalex.org/W4224035735","https://openalex.org/W4226227067","https://openalex.org/W4246555273","https://openalex.org/W4281485151","https://openalex.org/W4288079574","https://openalex.org/W4297981470","https://openalex.org/W4312429630","https://openalex.org/W4385489997","https://openalex.org/W6777627607","https://openalex.org/W6809732181","https://openalex.org/W6854993605"],"related_works":["https://openalex.org/W4390871790","https://openalex.org/W3144253442","https://openalex.org/W4387963301","https://openalex.org/W7064938841","https://openalex.org/W3197185112","https://openalex.org/W7155389667","https://openalex.org/W4312635677","https://openalex.org/W4390874125","https://openalex.org/W4372341521","https://openalex.org/W4404545100"],"abstract_inverted_index":{"Given":[0],"a":[1,39,63,67,122,133,142,188],"series":[2,40],"of":[3,26,38,41,54,78,92,125,129,156,191],"natural":[4],"language":[5,197],"descriptions,":[6],"our":[7,31,164,208],"task":[8],"is":[9,33,73],"to":[10,18,34,46,76,88,102],"generate":[11],"3D":[12],"human":[13,185],"motions":[14,181,186],"that":[15,145],"correspond":[16],"semantically":[17],"the":[19,23,27,36,55,89,115,154],"text,":[20],"and":[21,193],"follow":[22],"temporal":[24,48,194],"order":[25],"instructions.":[28],"In":[29,105],"particular,":[30],"goal":[32],"enable":[35],"synthesis":[37,60],"actions,":[42,127],"which":[43,97,120,130],"we":[44,108,113,140,206],"refer":[45],"as":[47,70],"action":[49,65,83],"composition.":[50],"The":[51],"current":[52],"state":[53],"art":[56],"in":[57,132,163],"text-conditioned":[58],"motion":[59],"only":[61],"takes":[62],"single":[64,68],"or":[66],"sentence":[69],"input.":[71],"This":[72,158],"partially":[74],"due":[75,87],"lack":[77],"suitable":[79],"training":[80],"data":[81],"containing":[82],"sequences,":[84],"but":[85,151],"also":[86],"computational":[90],"complexity":[91],"their":[93],"non-autoregressive":[94],"model":[95],"formulation,":[96],"does":[98],"not":[99],"scale":[100],"well":[101],"long":[103],"sequences.":[104],"this":[106,203],"work,":[107],"address":[109],"both":[110],"issues.":[111],"First,":[112],"exploit":[114],"recent":[116],"BABEL":[117],"motion-text":[118],"collection,":[119],"has":[121],"wide":[123,189],"range":[124],"labeled":[126],"many":[128],"occur":[131],"sequence":[134,155],"with":[135,168],"transitions":[136],"between":[137],"them.":[138],"Next,":[139],"design":[141],"Transformer-based":[143],"approach":[144],"operates":[146],"non-autoregressively":[147],"within":[148,153],"an":[149],"action,":[150],"autoregressively":[152],"actions.":[157],"hierarchical":[159],"formulation":[160],"proves":[161],"effective":[162],"experiments":[165],"when":[166],"compared":[167],"multiple":[169],"baselines.":[170],"Our":[171],"approach,":[172],"called":[173],"TEACH":[174],"for":[175,179,187,211],"\u201cTEmporal":[176],"Action":[177],"Compositions":[178],"Human":[180],"\u201d,":[182],"produces":[183],"realistic":[184],"variety":[190],"actions":[192],"compositions":[195],"from":[196],"descriptions.":[198],"To":[199],"encourage":[200],"work":[201],"on":[202],"new":[204],"task,":[205],"make":[207],"code":[209],"available":[210],"research":[212],"purposes":[213],"at":[214],"teach.is.tue.mpg.de.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":35},{"year":2025,"cited_by_count":51},{"year":2024,"cited_by_count":54},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-10-01T00:00:00"}