{"id":"https://openalex.org/W2084928011","doi":"https://doi.org/10.1109/smc.2014.6973909","title":"A novel hierarchical interaction model and HITS map for action recognition in static images","display_name":"A novel hierarchical interaction model and HITS map for action recognition in static images","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2084928011","doi":"https://doi.org/10.1109/smc.2014.6973909","mag":"2084928011"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2014.6973909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6973909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","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/A5039181878","display_name":"Qingfeng Liu","orcid":"https://orcid.org/0000-0001-5437-4946"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qingfeng Liu","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","Department of Computer Science, New Jersey Institute of Technology, Newark, 07102, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, 07102, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454866","display_name":"Chengjun Liu","orcid":"https://orcid.org/0000-0002-2036-0770"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengjun Liu","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","Department of Computer Science, New Jersey Institute of Technology, Newark, 07102, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, 07102, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039181878"],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1446924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"210","last_page":"215"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940999746322632,"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":0.8090039491653442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7043775916099548},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6359679102897644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6056737899780273},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.527260422706604},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5141758918762207},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4676016867160797},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4343326687812805},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.41318532824516296},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.41299039125442505},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25164735317230225},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10435056686401367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.090451180934906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8090039491653442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7043775916099548},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6359679102897644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6056737899780273},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.527260422706604},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5141758918762207},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4676016867160797},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4343326687812805},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.41318532824516296},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.41299039125442505},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25164735317230225},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10435056686401367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.090451180934906},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/smc.2014.6973909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6973909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/W1976546217","https://openalex.org/W1979498899","https://openalex.org/W1981202432","https://openalex.org/W2014788385","https://openalex.org/W2020163092","https://openalex.org/W2050964073","https://openalex.org/W2066941820","https://openalex.org/W2086971086","https://openalex.org/W2104125540","https://openalex.org/W2118246710","https://openalex.org/W2129933262","https://openalex.org/W2138621811","https://openalex.org/W2139132812","https://openalex.org/W2153635508","https://openalex.org/W2158234032","https://openalex.org/W2162915993","https://openalex.org/W2169177311","https://openalex.org/W2169393274","https://openalex.org/W4386207016","https://openalex.org/W6645485993","https://openalex.org/W6662922008","https://openalex.org/W6672431523","https://openalex.org/W6683323873","https://openalex.org/W6684872329","https://openalex.org/W6997266731"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2374466665"],"abstract_inverted_index":{"This":[0],"paper":[1,65],"proposes":[2],"a":[3,38,69],"novel":[4,70,93,126],"fully":[5],"automatic":[6],"method":[7,149,173],"to":[8,36,50,85,112,176],"model":[9,86,179],"the":[10,20,27,30,52,57,64,77,80,87,92,100,105,113,125,133,144,147,155,159,165,171,180],"low-level":[11,88],"human":[12,58],"and":[13,29,42,79,116,164,191],"object":[14],"interactions":[15,54,182],"for":[16,55,137],"action":[17,138,201],"recognition":[18,202],"in":[19,198],"static":[21],"images.":[22],"Specifically,":[23],"we":[24],"exploit":[25],"both":[26],"superpixels":[28,78,115],"grid":[31,81,117],"patches":[32,82,118],"of":[33,63,146,200],"an":[34,45],"image":[35,128],"construct":[37],"hierarchical":[39,72,106],"interaction":[40,73,107],"graph":[41,74],"then":[43],"develop":[44],"HITS":[46,94,102,135],"map":[47,136],"learning":[48],"algorithm":[49,103],"learn":[51],"human-object":[53,89,181],"recognizing":[56],"actions.":[59],"The":[60],"major":[61],"contributions":[62],"are":[66],"three-fold.":[67],"First,":[68],"two-layer":[71],"based":[75],"on":[76,104],"is":[83,97,130,174],"presented":[84],"interactions.":[90,123],"Second,":[91],"map,":[95],"which":[96],"derived":[98,131],"by":[99],"weighted":[101,127],"graph,":[108],"assigns":[109],"heavy":[110],"weights":[111],"important":[114],"that":[119],"reveal":[120],"more":[121],"meaningful":[122],"Third,":[124],"representation":[129],"from":[132],"learned":[134],"recognition.":[139],"Extensive":[140],"experimental":[141],"results":[142],"show":[143],"feasibility":[145],"proposed":[148,172],"using":[150],"three":[151],"representative":[152],"datasets,":[153],"namely,":[154],"Willow":[156],"Action":[157],"dataset,":[158],"UIUC":[160],"Sports":[161,167],"Event":[162],"dataset":[163],"CMU":[166],"dataset.":[168],"In":[169],"particular,":[170],"able":[175],"(i)":[177],"automatically":[178],"without":[183],"extensive":[184],"manual":[185],"annotations":[186],"or":[187],"numerous":[188],"error-prone":[189],"detections,":[190],"(ii)":[192],"improve":[193],"upon":[194],"other":[195],"popular":[196],"methods":[197],"terms":[199],"performance.":[203]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}