{"id":"https://openalex.org/W2753000712","doi":"https://doi.org/10.1109/icme.2017.8019399","title":"Learning discriminative action and context representations for action recognition in still images","display_name":"Learning discriminative action and context representations for action recognition in still images","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2753000712","doi":"https://doi.org/10.1109/icme.2017.8019399","mag":"2753000712"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2017.8019399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","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/A5103271139","display_name":"Miao Xin","orcid":"https://orcid.org/0000-0003-2462-2296"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Xin","raw_affiliation_strings":["Image Processing Center Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430263","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-1282-3755"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["Image Processing Center Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657038","display_name":"Ding Yuan","orcid":"https://orcid.org/0000-0001-8107-7218"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Yuan","raw_affiliation_strings":["Image Processing Center Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103248296","display_name":"Mingui Sun","orcid":"https://orcid.org/0000-0001-7948-9205"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingui Sun","raw_affiliation_strings":["Department of Neurosurgery, University of Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, University of Pittsburgh, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2388,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60780545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9979000091552734,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.989300012588501,"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/discriminative-model","display_name":"Discriminative model","score":0.8225033283233643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7756798267364502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7633681297302246},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7136253714561462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6544809937477112},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5902937650680542},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.584738552570343},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4983246326446533},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4861912131309509},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4832773506641388},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45904725790023804},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41290023922920227},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.36192572116851807}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8225033283233643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7756798267364502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7633681297302246},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7136253714561462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6544809937477112},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5902937650680542},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.584738552570343},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4983246326446533},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4861912131309509},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4832773506641388},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45904725790023804},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41290023922920227},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.36192572116851807},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2017.8019399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W326271615","https://openalex.org/W874179280","https://openalex.org/W1765260417","https://openalex.org/W1861492603","https://openalex.org/W1895577753","https://openalex.org/W1947481528","https://openalex.org/W1949591461","https://openalex.org/W1993991024","https://openalex.org/W1994213117","https://openalex.org/W2031489346","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2101105183","https://openalex.org/W2122180654","https://openalex.org/W2129947832","https://openalex.org/W2130556178","https://openalex.org/W2144172034","https://openalex.org/W2156303437","https://openalex.org/W2157364932","https://openalex.org/W2161381512","https://openalex.org/W2167146493","https://openalex.org/W2169852119","https://openalex.org/W2510249351","https://openalex.org/W2518918709","https://openalex.org/W2963037989","https://openalex.org/W3099206234","https://openalex.org/W6623669879","https://openalex.org/W6639102338","https://openalex.org/W6675751002","https://openalex.org/W6681239517","https://openalex.org/W6682864246","https://openalex.org/W6684871066","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2182357018","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Action":[0],"recognition":[1,30,104,116],"in":[2,9,14,55,101],"still":[3],"images":[4,35],"is":[5,39,110],"a":[6,60,76,82],"challenging":[7],"task":[8,117],"computer":[10],"vision.":[11],"Recent":[12],"successes":[13],"deep":[15],"feature-learning":[16],"advance":[17],"this":[18,42,69],"research,":[19],"employing":[20],"robust":[21],"and":[22,52,86,105,118],"rich-semantic":[23],"feature":[24],"representation.":[25],"However,":[26],"the":[27,113,119,125],"issue":[28],"that":[29],"fails":[31],"when":[32],"two":[33],"action":[34,56,85,94,102,115],"share":[36],"similar":[37],"contexts":[38],"long-standing.":[40],"In":[41],"paper,":[43],"we":[44,90],"employ":[45],"metric":[46],"learning":[47],"method":[48,73],"to":[49],"address":[50],"within-class":[51],"between-class":[53],"confusions":[54],"recognition.":[57],"We":[58],"propose":[59],"novel":[61],"loss":[62,70],"function,":[63,71],"named":[64],"composite-triplet":[65],"loss.":[66],"Supervised":[67],"by":[68],"our":[72,129],"directly":[74],"learns":[75],"similarity":[77],"function":[78],"from":[79],"data.":[80],"Employing":[81],"customized":[83],"human":[84],"context":[87],"detection":[88],"network,":[89],"obtain":[91],"highly":[92],"discriminative":[93],"image":[95,103,120],"embeddings,":[96],"which":[97],"can":[98],"be":[99],"used":[100],"other":[106],"tasks.":[107],"Our":[108],"approach":[109,130],"evaluated":[111],"on":[112],"still-image":[114],"caption":[121],"generation":[122],"task.":[123],"On":[124],"PASCAL":[126],"VOC":[127],"dataset,":[128],"outperforms":[131],"state-of-the-art":[132],"methods,":[133],"achieving":[134],"90.6%":[135],"mean":[136],"AP.":[137]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
