{"id":"https://openalex.org/W2964213043","doi":"https://doi.org/10.1109/tcsvt.2016.2586853","title":"Hierarchical Spatial Sum\u2013Product Networks for Action Recognition in Still Images","display_name":"Hierarchical Spatial Sum\u2013Product Networks for Action Recognition in Still Images","publication_year":2016,"publication_date":"2016-07-14","ids":{"openalex":"https://openalex.org/W2964213043","doi":"https://doi.org/10.1109/tcsvt.2016.2586853","mag":"2964213043"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2016.2586853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2586853","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5067255425","display_name":"Jinghua Wang","orcid":"https://orcid.org/0000-0001-9457-6059"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jinghua Wang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100367353","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-1816-1457"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.4916,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88697389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"28","issue":"1","first_page":"90","last_page":"100"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.987500011920929,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.6982547044754028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6526983380317688},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.650240421295166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6315889358520508},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6109951138496399},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5844592452049255},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5489146113395691},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5136768221855164},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5083691477775574},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4465569257736206},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42659616470336914},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.4257127046585083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33080172538757324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31498855352401733},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09048587083816528},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08738288283348083},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07684627175331116}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6982547044754028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6526983380317688},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.650240421295166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6315889358520508},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6109951138496399},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5844592452049255},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5489146113395691},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5136768221855164},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5083691477775574},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4465569257736206},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42659616470336914},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.4257127046585083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33080172538757324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31498855352401733},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09048587083816528},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08738288283348083},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07684627175331116},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/tcsvt.2016.2586853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2586853","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"},{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320334971","display_name":"Science and Engineering Research Council","ror":"https://ror.org/00zgdb249"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W28988658","https://openalex.org/W1718539190","https://openalex.org/W1864464506","https://openalex.org/W1978609775","https://openalex.org/W1993991024","https://openalex.org/W1994529670","https://openalex.org/W1997822789","https://openalex.org/W2014788385","https://openalex.org/W2027922120","https://openalex.org/W2034899024","https://openalex.org/W2038765747","https://openalex.org/W2040370888","https://openalex.org/W2046589395","https://openalex.org/W2050964073","https://openalex.org/W2052916917","https://openalex.org/W2057815930","https://openalex.org/W2064052975","https://openalex.org/W2065778157","https://openalex.org/W2074989593","https://openalex.org/W2085900439","https://openalex.org/W2095035335","https://openalex.org/W2103822353","https://openalex.org/W2109875425","https://openalex.org/W2117103983","https://openalex.org/W2119900738","https://openalex.org/W2120419212","https://openalex.org/W2120601899","https://openalex.org/W2128744540","https://openalex.org/W2129933262","https://openalex.org/W2141473882","https://openalex.org/W2143352446","https://openalex.org/W2145850538","https://openalex.org/W2148948295","https://openalex.org/W2153074847","https://openalex.org/W2158234032","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2169177311","https://openalex.org/W2169852119","https://openalex.org/W2229908198","https://openalex.org/W2535410496","https://openalex.org/W2950094539","https://openalex.org/W4386207016","https://openalex.org/W6677915450","https://openalex.org/W6679233511","https://openalex.org/W6680850120","https://openalex.org/W6683323873","https://openalex.org/W6684191040","https://openalex.org/W6684872329"],"related_works":["https://openalex.org/W4288373736","https://openalex.org/W2939912336","https://openalex.org/W3114272811","https://openalex.org/W2014358890","https://openalex.org/W4225573578","https://openalex.org/W2046746363","https://openalex.org/W4380519764","https://openalex.org/W2250140425","https://openalex.org/W2734587838","https://openalex.org/W3011228735"],"abstract_inverted_index":{"Recognizing":[0],"actions":[1],"from":[2],"still":[3],"images":[4],"has":[5],"been":[6],"popularly":[7],"studied":[8],"recently.":[9],"In":[10],"this":[11],"paper,":[12],"we":[13,37,72],"model":[14,57],"an":[15],"action":[16],"class":[17],"as":[18],"a":[19,30,39,75],"flexible":[20],"number":[21],"of":[22,25,41,66,93,98],"spatial":[23,32,52,59,77,83],"configurations":[24],"body":[26],"parts":[27,42,86],"by":[28],"proposing":[29],"new":[31,51],"sum\u2013product":[33],"network":[34],"(SPN).":[35],"First,":[36],"discover":[38],"set":[40],"in":[43],"image":[44],"collections":[45],"via":[46,95],"unsupervised":[47],"learning.":[48],"Then,":[49],"our":[50],"SPN":[53,78],"is":[54,102],"applied":[55],"to":[56,104],"the":[58,63,91],"relationship":[60,84],"and":[61,89],"also":[62],"high-order":[64],"correlations":[65],"parts.":[67],"To":[68],"learn":[69],"robust":[70],"networks,":[71],"further":[73],"develop":[74],"hierarchical":[76],"method,":[79],"which":[80],"models":[81,90],"pairwise":[82],"between":[85],"inside":[87],"subimages":[88,94],"correlation":[92],"extra":[96],"layers":[97],"SPN.":[99],"Our":[100],"method":[101],"shown":[103],"be":[105],"effective":[106],"on":[107],"two":[108],"benchmark":[109],"data":[110],"sets.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
