{"id":"https://openalex.org/W4387969459","doi":"https://doi.org/10.1145/3581783.3611888","title":"Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization","display_name":"Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387969459","doi":"https://doi.org/10.1145/3581783.3611888"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611888","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5056707975","display_name":"Yujie Zhou","orcid":"https://orcid.org/0000-0001-9161-8620"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Zhou","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9161-8620","affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005798718","display_name":"Wenwen Qiang","orcid":"https://orcid.org/0000-0002-7985-5743"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwen Qiang","raw_affiliation_strings":["University of Chinese Academy of Sciences & Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7985-5743","affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences & Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067715162","display_name":"Anyi Rao","orcid":"https://orcid.org/0000-0003-1004-7753"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anyi Rao","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1004-7753","affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018316477","display_name":"Ning Lin","orcid":"https://orcid.org/0000-0001-8883-7005"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Lin","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8883-7005","affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027552992","display_name":"Bing Su","orcid":"https://orcid.org/0000-0001-8560-1910"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Su","raw_affiliation_strings":["Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8560-1910","affiliations":[{"raw_affiliation_string":"Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100365340","display_name":"Jiaqi Wang","orcid":"https://orcid.org/0000-0001-6877-5353"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Wang","raw_affiliation_strings":["Shanghai AI Laboratory, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6877-5353","affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5302","last_page":"5310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6870571374893188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658776044845581},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6437643766403198},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6078116297721863},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5982828140258789},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5941424369812012},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5644991993904114},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4504736363887787},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.4433113932609558},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42240041494369507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2621707320213318}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6870571374893188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658776044845581},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6437643766403198},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6078116297721863},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5982828140258789},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5941424369812012},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5644991993904114},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4504736363887787},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.4433113932609558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42240041494369507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2621707320213318},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3581783.3611888","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-141765","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-141765","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8415418894","display_name":null,"funder_award_id":"61976206","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2056898157","https://openalex.org/W2172156083","https://openalex.org/W2209594346","https://openalex.org/W2419501139","https://openalex.org/W2463762378","https://openalex.org/W2559085405","https://openalex.org/W2613570903","https://openalex.org/W2948058585","https://openalex.org/W2963076818","https://openalex.org/W2963524571","https://openalex.org/W3034999503","https://openalex.org/W3035297600","https://openalex.org/W3092424783","https://openalex.org/W3105195350","https://openalex.org/W3111746241","https://openalex.org/W3169413442","https://openalex.org/W3200556739","https://openalex.org/W3205106480","https://openalex.org/W4200634815","https://openalex.org/W4249914127","https://openalex.org/W4287177665"],"related_works":["https://openalex.org/W2466816617","https://openalex.org/W1970834875","https://openalex.org/W842936808","https://openalex.org/W2785601041","https://openalex.org/W2241417046","https://openalex.org/W2908598672","https://openalex.org/W2597403208","https://openalex.org/W4307206503","https://openalex.org/W2393900892","https://openalex.org/W4306760398"],"abstract_inverted_index":{"Zero-shot":[0],"skeleton-based":[1,117],"action":[2,102,118,168],"recognition":[3,119],"aims":[4],"to":[5,21,32,53,81,155],"recognize":[6],"actions":[7],"of":[8,15,70,93,173],"unseen":[9,33],"categories":[10],"after":[11],"training":[12],"on":[13,40,164],"data":[14],"seen":[16,31],"categories.":[17],"The":[18],"key":[19],"is":[20,64],"build":[22],"the":[23,51,59,68,71,83,87,91,97,132,145,150,171],"connection":[24],"between":[25,86,134],"visual":[26,135],"and":[27,126,136],"semantic":[28,137],"space":[29,138],"from":[30],"classes.":[34],"Previous":[35],"studies":[36],"have":[37],"primarily":[38],"focused":[39],"encoding":[41],"sequences":[42],"into":[43,107],"a":[44,79,108,114],"singular":[45],"feature":[46,110],"vector,":[47],"with":[48,100],"subsequent":[49],"mapping":[50],"features":[52,99],"an":[54],"identical":[55],"anchor":[56],"point":[57],"within":[58],"embedded":[60],"space.":[61],"Their":[62],"performance":[63],"hindered":[65],"by":[66,152],"1)":[67,129],"ignorance":[69],"global":[72],"visual/semantic":[73],"distribution":[74,140],"alignment,":[75],"which":[76],"results":[77],"in":[78],"limitation":[80],"capture":[82],"true":[84],"interdependence":[85],"two":[88],"spaces.":[89],"2)":[90,142],"negligence":[92],"temporal":[94,146],"information":[95,123,147],"since":[96],"frame-wise":[98],"rich":[101],"clues":[103],"are":[104,160],"directly":[105],"pooled":[106],"single":[109],"vector.":[111],"We":[112],"propose":[113],"new":[115],"zero-shot":[116],"method":[120],"via":[121],"mutual":[122],"(MI)":[124],"estimation":[125],"maximization.":[127],"Specifically,":[128],"we":[130,143],"maximize":[131],"MI":[133,151,154],"for":[139,148],"alignment;":[141],"leverage":[144],"estimating":[149],"encouraging":[153],"increase":[156],"as":[157],"more":[158],"frames":[159],"observed.":[161],"Extensive":[162],"experiments":[163],"three":[165],"large-scale":[166],"skeleton":[167],"datasets":[169],"confirm":[170],"effectiveness":[172],"our":[174],"method.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}