{"id":"https://openalex.org/W4402353447","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650269","title":"LLM-Driven \u201cCoach-Athlete\u201d Pretraining Framework for Complex Text-To-Motion Generation","display_name":"LLM-Driven \u201cCoach-Athlete\u201d Pretraining Framework for Complex Text-To-Motion Generation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353447","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650269"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5114734501","display_name":"Jiajun Fu","orcid":"https://orcid.org/0000-0003-4819-3377"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Fu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049786228","display_name":"Yuxing Long","orcid":"https://orcid.org/0009-0006-3246-459X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxing Long","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351295","display_name":"Xiaojie Wang","orcid":"https://orcid.org/0000-0002-4740-7882"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100606496","display_name":"Jianqin Yin","orcid":"https://orcid.org/0000-0002-1595-2499"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqin Yin","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9993000030517578,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9962000250816345,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9871000051498413,"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":0.6269239187240601},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.59441077709198},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.40396589040756226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3942640721797943},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3812006711959839},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33991172909736633},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.333495169878006},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14268648624420166}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6269239187240601},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.59441077709198},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.40396589040756226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3942640721797943},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3812006711959839},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33991172909736633},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.333495169878006},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14268648624420166}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2032618685","https://openalex.org/W2120894402","https://openalex.org/W2474702929","https://openalex.org/W2752796333","https://openalex.org/W2964076328","https://openalex.org/W2982625143","https://openalex.org/W3036644940","https://openalex.org/W3093390323","https://openalex.org/W3108262631","https://openalex.org/W3124346429","https://openalex.org/W3125772723","https://openalex.org/W3153832461","https://openalex.org/W3176252609","https://openalex.org/W3181695292","https://openalex.org/W3204623367","https://openalex.org/W3206039354","https://openalex.org/W4221143046","https://openalex.org/W4224308101","https://openalex.org/W4281557260","https://openalex.org/W4288079574","https://openalex.org/W4297981470","https://openalex.org/W4297989763","https://openalex.org/W4312635677","https://openalex.org/W4312936899","https://openalex.org/W4312995056","https://openalex.org/W4313145975","https://openalex.org/W4319299814","https://openalex.org/W4322718191","https://openalex.org/W4378804797","https://openalex.org/W4382202622","https://openalex.org/W4386065848","https://openalex.org/W4386076288","https://openalex.org/W6765779288","https://openalex.org/W6778883912","https://openalex.org/W6779823529","https://openalex.org/W6791353385","https://openalex.org/W6809646742","https://openalex.org/W6810081322","https://openalex.org/W6837989031","https://openalex.org/W6838865847","https://openalex.org/W6844223692","https://openalex.org/W6850625674"],"related_works":["https://openalex.org/W4386051551","https://openalex.org/W2725946685","https://openalex.org/W304855073","https://openalex.org/W938111471","https://openalex.org/W2511882081","https://openalex.org/W2162444339","https://openalex.org/W2518250394","https://openalex.org/W2032169142","https://openalex.org/W2267221041","https://openalex.org/W98823754"],"abstract_inverted_index":{"Advanced":[0],"text-to-motion":[1,20,58,95,126,134,152],"models":[2,21],"should":[3],"one":[4,6],"by":[5],"generate":[7,47],"all":[8],"sub-actions":[9,48],"in":[10,101],"the":[11,15,34,42,62,66,72,89,92,116,131],"complex":[12,83,102,156],"motion":[13,17,27,35,103,118],"following":[14],"given":[16],"description.":[18],"Existing":[19],"have":[22],"performed":[23],"well":[24],"on":[25,130],"simple":[26],"descriptions":[28],"but":[29],"they":[30],"usually":[31],"fail":[32],"when":[33],"description":[36],"involves":[37],"multiple":[38],"actions,":[39],"which":[40],"indicates":[41],"lack":[43],"of":[44,149],"ability":[45],"to":[46,74,97,106,114],"step-by-step.":[49],"To":[50],"solve":[51],"this":[52],"problem,":[53],"we":[54,64],"propose":[55],"a":[56,94,111,124],"\"Coach-Athlete\"":[57],"pretraining":[59,144],"framework.":[60],"In":[61],"framework,":[63],"employ":[65],"large":[67],"language":[68],"model":[69],"(LLM)":[70],"as":[71],"Coach":[73,90],"create":[75],"incremental":[76],"text":[77],"and":[78,120,137],"sub-action":[79,99],"sequence":[80],"pairs":[81],"from":[82,104],"text-motion":[84],"samples.":[85],"With":[86],"these":[87],"data,":[88],"guides":[91],"Athlete,":[93],"model,":[96],"predict":[98],"sequences":[100],"short":[105],"long.":[107],"Our":[108],"approach":[109],"provides":[110],"new":[112],"way":[113],"inject":[115],"LLM\u2019s":[117],"decomposition":[119],"synthesis":[121],"capabilities":[122],"into":[123],"small-scale":[125],"model.":[127],"Experimental":[128],"results":[129],"current":[132],"largest":[133],"dataset":[135,139],"HumanML3D":[136],"representative":[138],"KIT-ML":[140],"show":[141],"that":[142],"our":[143],"framework":[145],"can":[146],"facilitate":[147],"performances":[148],"several":[150],"state-of-the-art":[151],"models,":[153],"especially":[154],"for":[155],"motions.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}