{"id":"https://openalex.org/W2802025241","doi":"https://doi.org/10.24963/ijcai.2018/130","title":"Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics","display_name":"Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2802025241","doi":"https://doi.org/10.24963/ijcai.2018/130","mag":"2802025241"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/130","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/130","pdf_url":"https://www.ijcai.org/proceedings/2018/0130.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0130.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012014229","display_name":"Yongyi Tang","orcid":"https://orcid.org/0009-0002-6210-4449"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongyi Tang","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065524654","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0002-1847-340X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["Tencent AI Lab"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431679","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-8078-1879"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Tencent AI Lab"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Shi Zheng","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012014229"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":7.0119,"has_fulltext":false,"cited_by_count":131,"citation_normalized_percentile":{"value":0.97725366,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"935","last_page":"941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T12290","display_name":"Human Motion and Animation","score":0.9991000294685364,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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/motion","display_name":"Motion (physics)","score":0.7741998434066772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7469435930252075},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7436773180961609},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.646561324596405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6015652418136597},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5862008333206177},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.5376077890396118},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5192115902900696},{"id":"https://openalex.org/keywords/long-term-prediction","display_name":"Long-term prediction","score":0.4999380111694336},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.48868778347969055},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4886334538459778},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4578378200531006},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4470161199569702},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43825969099998474},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.42903149127960205},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.42896515130996704},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15639644861221313}],"concepts":[{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7741998434066772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469435930252075},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7436773180961609},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.646561324596405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6015652418136597},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5862008333206177},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.5376077890396118},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5192115902900696},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.4999380111694336},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.48868778347969055},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4886334538459778},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4578378200531006},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4470161199569702},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43825969099998474},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.42903149127960205},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.42896515130996704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15639644861221313},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"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":1,"locations":[{"id":"doi:10.24963/ijcai.2018/130","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/130","pdf_url":"https://www.ijcai.org/proceedings/2018/0130.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/130","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/130","pdf_url":"https://www.ijcai.org/proceedings/2018/0130.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.41999998688697815,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1330187037","display_name":null,"funder_award_id":"2018YFB1004903","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1967796464","display_name":null,"funder_award_id":"61522115","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2674840903","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G3294234326","display_name":null,"funder_award_id":"2018YFB1004","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3659156043","display_name":null,"funder_award_id":"11301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G385937226","display_name":null,"funder_award_id":"11301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4155018083","display_name":null,"funder_award_id":"Newton","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6739850016","display_name":null,"funder_award_id":"61661130157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8436000826","display_name":null,"funder_award_id":"NA150459","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"}],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2802025241.pdf","grobid_xml":"https://content.openalex.org/works/W2802025241.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1735317348","https://openalex.org/W1950788856","https://openalex.org/W1967320926","https://openalex.org/W1977259876","https://openalex.org/W2048821851","https://openalex.org/W2101032778","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2158164339","https://openalex.org/W2510185399","https://openalex.org/W2563154851","https://openalex.org/W2606517404","https://openalex.org/W2737749690","https://openalex.org/W2758778552","https://openalex.org/W2963013806","https://openalex.org/W2963165299","https://openalex.org/W2964203186","https://openalex.org/W4230005465","https://openalex.org/W4246082463","https://openalex.org/W4294555862"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2370938709","https://openalex.org/W4287555442","https://openalex.org/W3112961962","https://openalex.org/W2952275641","https://openalex.org/W2802025241","https://openalex.org/W4401415511"],"abstract_inverted_index":{"Human":[0],"motion":[1,10,48,56,81,87,97,124,136],"prediction":[2],"aims":[3],"at":[4],"generating":[5],"future":[6,111],"frames":[7],"of":[8,16,25],"human":[9,55,110,135],"based":[11],"on":[12],"an":[13],"observed":[14],"sequence":[15],"skeletons.":[17],"Recent":[18],"methods":[19],"employ":[20],"the":[21,33,53,60,80,86,91,103,109,123,127],"latest":[22],"hidden":[23],"states":[24],"a":[26,47],"recurrent":[27],"neural":[28],"network":[29],"(RNN)":[30],"to":[31,59,133],"encode":[32],"historical":[34,54],"skeletons,":[35],"which":[36,113],"can":[37,106],"only":[38],"address":[39],"short-term":[40],"prediction.":[41,62,98],"In":[42],"this":[43],"work,":[44],"we":[45,84],"propose":[46],"context":[49,125],"modeling":[50],"by":[51,89],"summarizing":[52],"with":[57,126],"respect":[58],"current":[61],"A":[63],"modified":[64],"highway":[65],"unit":[66],"(MHU)":[67],"is":[68],"proposed":[69,104],"for":[70,95],"efficiently":[71],"eliminating":[72],"motionless":[73],"joints":[74],"and":[75],"estimating":[76],"next":[77],"pose":[78],"given":[79],"context.":[82],"Furthermore,":[83],"enhance":[85],"dynamic":[88],"minimizing":[90],"gram":[92],"matrix":[93],"loss":[94],"long-term":[96],"Experimental":[99],"results":[100],"show":[101],"that":[102],"model":[105,132],"promisingly":[107],"forecast":[108],"movements,":[112],"yields":[114],"superior":[115],"performances":[116],"over":[117],"related":[118],"state-of-the-art":[119],"approaches.":[120],"Moreover,":[121],"specifying":[122],"activity":[128],"labels":[129],"enables":[130],"our":[131],"perform":[134],"transfer.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":16}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}