{"id":"https://openalex.org/W4386598331","doi":"https://doi.org/10.1109/icip49359.2023.10222273","title":"3D Human Motion Prediction via Activity-Driven Attention-MLP Association","display_name":"3D Human Motion Prediction via Activity-Driven Attention-MLP Association","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598331","doi":"https://doi.org/10.1109/icip49359.2023.10222273"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222273","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5100657575","display_name":"Shaobo Zhang","orcid":"https://orcid.org/0000-0001-7980-9651"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Zhang","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101446173","display_name":"Sheng Liu","orcid":"https://orcid.org/0000-0001-8082-0903"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Liu","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001383535","display_name":"Fei Gao","orcid":"https://orcid.org/0000-0002-4678-1936"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Gao","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12652145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"960","last_page":"964"},"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":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.7765698432922363},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.643796980381012},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5916483402252197},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5755241513252258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5642006993293762},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5572922229766846},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5036599040031433},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46075305342674255},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.44507160782814026},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4383637011051178},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4169566035270691},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.415225088596344},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16592714190483093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7765698432922363},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.643796980381012},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5916483402252197},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5755241513252258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5642006993293762},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5572922229766846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5036599040031433},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46075305342674255},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.44507160782814026},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4383637011051178},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4169566035270691},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.415225088596344},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16592714190483093},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222273","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1735317348","https://openalex.org/W2073305350","https://openalex.org/W2101032778","https://openalex.org/W2110935301","https://openalex.org/W2293741035","https://openalex.org/W2594167370","https://openalex.org/W2884585870","https://openalex.org/W2908684875","https://openalex.org/W2948058585","https://openalex.org/W2963165299","https://openalex.org/W2963548793","https://openalex.org/W2964203186","https://openalex.org/W2983925976","https://openalex.org/W2993797559","https://openalex.org/W3035237020","https://openalex.org/W3107501854","https://openalex.org/W3109306201","https://openalex.org/W3109717189","https://openalex.org/W3172615168","https://openalex.org/W3173841978","https://openalex.org/W3205717647","https://openalex.org/W3207857704","https://openalex.org/W3208034415","https://openalex.org/W4297733535","https://openalex.org/W4313056154"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917"],"abstract_inverted_index":{"Human":[0],"motion":[1,8],"prediction":[2],"aims":[3],"to":[4,18,55,99],"forecast":[5],"the":[6,22,25,75,92,102,118,121],"future":[7],"based":[9,28],"on":[10,29,128],"historical":[11],"sequences":[12],"of":[13,21,74,117],"human":[14],"poses.":[15],"However,":[16],"due":[17],"incomplete":[19],"aggregation":[20],"spatio-temporal":[23,93],"information,":[24],"predicted":[26],"poses":[27],"existing":[30],"methods":[31],"often":[32],"suffer":[33],"from":[34],"discontinuity":[35],"and":[36,59,77,107,131],"error":[37],"accumulation.":[38],"To":[39],"tackle":[40],"these":[41],"problems,":[42],"we":[43,111],"design":[44],"an":[45],"activity-driven":[46,115],"attention-MLP":[47,64],"association":[48,65],"method,":[49],"which":[50],"adopts":[51],"discrete":[52],"cosine":[53],"transform(DCT)":[54],"encode":[56],"temporal":[57,106],"information":[58],"extracts":[60],"spatial":[61,70,108],"features":[62,103],"by":[63],"layers.":[66],"For":[67],"better":[68],"enhancing":[69],"feature":[71],"representation":[72],"capability":[73],"global":[76],"local":[78],"united":[79],"graph":[80],"attention,":[81],"a":[82,113],"channel":[83],"excitation":[84],"module":[85],"is":[86,95,135],"inserted":[87],"into":[88],"each":[89],"layer.":[90],"Meanwhile,":[91],"MLP":[94],"associated":[96],"with":[97],"attention":[98],"further":[100],"aggregate":[101],"both":[104],"in":[105],"dimension.":[109],"Moreover,":[110],"introduce":[112],"novel":[114],"supervision":[116],"optimization.":[119],"Empirically,":[120],"proposed":[122],"method":[123],"outperforms":[124],"other":[125],"state-of-the-art":[126],"algorithms":[127],"datasets":[129],"human3.6m":[130],"CMU":[132],"Mocap.":[133],"Code":[134],"available":[136],"at":[137],"https://github.com/alanzhangv123/HMP_am.":[138]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
