{"id":"https://openalex.org/W4312638984","doi":"https://doi.org/10.1109/thms.2022.3224552","title":"Nested Densely Atrous Spatial Pyramid Pooling and Deep Dense Short Connection for Skeleton Detection","display_name":"Nested Densely Atrous Spatial Pyramid Pooling and Deep Dense Short Connection for Skeleton Detection","publication_year":2022,"publication_date":"2022-12-05","ids":{"openalex":"https://openalex.org/W4312638984","doi":"https://doi.org/10.1109/thms.2022.3224552"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2022.3224552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2022.3224552","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"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 Human-Machine Systems","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/A5050373584","display_name":"Daoyong Fu","orcid":"https://orcid.org/0000-0002-6874-2436"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Daoyong Fu","raw_affiliation_strings":["School of Aeronautics and Astronautics, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6874-2436","affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102117014","display_name":"Xiaofei Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Zeng","raw_affiliation_strings":["School of Aeronautics and Astronautics, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009600888","display_name":"Songchen Han","orcid":"https://orcid.org/0000-0001-8598-6558"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songchen Han","raw_affiliation_strings":["School of Aeronautics and Astronautics, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8598-6558","affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090832624","display_name":"Hanren Lin","orcid":"https://orcid.org/0000-0003-4542-888X"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]},{"id":"https://openalex.org/I4210140243","display_name":"Samueli Institute","ror":"https://ror.org/03teef091","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanren Lin","raw_affiliation_strings":["Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4542-888X","affiliations":[{"raw_affiliation_string":"Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I4210140243","https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100318172","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-3786-4959"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Aeronautics and Astronautics, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-3786-4959","affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050373584"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.5102,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6515766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"53","issue":"1","first_page":"75","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9977999925613403,"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":0.9940999746322632,"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/concatenation","display_name":"Concatenation (mathematics)","score":0.7569023370742798},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6813399195671082},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6779912114143372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6667996644973755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6442272663116455},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.6151149272918701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6147039532661438},{"id":"https://openalex.org/keywords/topological-skeleton","display_name":"Topological skeleton","score":0.45376670360565186},{"id":"https://openalex.org/keywords/receptive-field","display_name":"Receptive field","score":0.43507274985313416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39952975511550903},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3468635678291321},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29543596506118774},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.2780190110206604},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16346928477287292},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15058481693267822},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.08930766582489014}],"concepts":[{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.7569023370742798},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6813399195671082},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6779912114143372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6667996644973755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6442272663116455},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.6151149272918701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147039532661438},{"id":"https://openalex.org/C112785775","wikidata":"https://www.wikidata.org/wiki/Q786441","display_name":"Topological skeleton","level":4,"score":0.45376670360565186},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.43507274985313416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39952975511550903},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3468635678291321},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29543596506118774},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2780190110206604},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16346928477287292},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15058481693267822},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.08930766582489014},{"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/thms.2022.3224552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2022.3224552","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"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 Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W96629785","https://openalex.org/W174734558","https://openalex.org/W845365781","https://openalex.org/W1553839376","https://openalex.org/W1686810756","https://openalex.org/W1889081078","https://openalex.org/W1935817682","https://openalex.org/W1976047850","https://openalex.org/W2031489346","https://openalex.org/W2078267645","https://openalex.org/W2104093257","https://openalex.org/W2106990937","https://openalex.org/W2154791445","https://openalex.org/W2160306297","https://openalex.org/W2412782625","https://openalex.org/W2518902831","https://openalex.org/W2560622558","https://openalex.org/W2565639579","https://openalex.org/W2591692311","https://openalex.org/W2771468013","https://openalex.org/W2799213142","https://openalex.org/W2883596444","https://openalex.org/W2963446712","https://openalex.org/W2963722952","https://openalex.org/W2964216471","https://openalex.org/W2976669726","https://openalex.org/W2996541285","https://openalex.org/W3034237717","https://openalex.org/W3080223684","https://openalex.org/W3099418968","https://openalex.org/W3106016323","https://openalex.org/W3108705364","https://openalex.org/W3121052081","https://openalex.org/W3126271000","https://openalex.org/W3161503361","https://openalex.org/W3167223549","https://openalex.org/W3213364958","https://openalex.org/W3216424936","https://openalex.org/W4286373723","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639432524","https://openalex.org/W6684191040","https://openalex.org/W6696085341"],"related_works":["https://openalex.org/W2350112133","https://openalex.org/W2512767835","https://openalex.org/W2551432400","https://openalex.org/W2167082627","https://openalex.org/W2543438428","https://openalex.org/W2941291816","https://openalex.org/W2001775722","https://openalex.org/W2121343048","https://openalex.org/W2099673295","https://openalex.org/W2349992343"],"abstract_inverted_index":{"The":[0,81,125,163],"skeleton":[1,35,69,150],"shows":[2],"the":[3,7,10,25,31,34,54,68,73,97,112,139,147,173,177,180],"local":[4,123],"symmetry":[5],"and":[6,12,24,59,121,172],"shape/topology":[8],"of":[9,27,33,56,61,75,141,149,179],"object,":[11],"it":[13],"is":[14,36,84,128,166],"utilized":[15],"for":[16,67],"human":[17],"pose":[18],"recognition,":[19],"road":[20],"detection,":[21,23],"text":[22],"representation":[26,42],"industrial":[28],"parts.":[29],"However,":[30],"size":[32],"variable,":[37],"which":[38,109],"makes":[39],"high-level":[40,57,157],"feature":[41],"difficult.":[43],"Existing":[44],"methods":[45],"only":[46],"attempt":[47],"to":[48,85,129,155],"integrate":[49],"multilevel":[50],"features":[51,58,142],"but":[52],"ignore":[53],"extraction":[55],"multiscales":[60],"contextual":[62,115],"information":[63,159],"that":[64,95,137],"are":[65],"helpful":[66],"detection":[70],"task.":[71],"Thus,":[72],"contributions":[74],"this":[76],"article":[77],"include":[78],"two":[79],"aspects.":[80],"first":[82],"contribution":[83],"propose":[86,130],"a":[87,105,117,131],"nested":[88,106],"densely":[89],"atrous":[90,98],"spatial":[91],"pyramid":[92],"pooling":[93],"method":[94,165],"connects":[96],"convolutions":[99],"with":[100,160],"different":[101,144],"dilation":[102],"rates":[103],"in":[104,146],"cascade":[107],"mode,":[108],"can":[110],"provide":[111],"multiscale":[113],"denser":[114],"information,":[116],"larger":[118],"receptive":[119],"field,":[120],"more":[122],"features.":[124],"second":[126],"one":[127],"deep":[132],"dense":[133],"short":[134],"connection":[135],"(DDSC)":[136],"explores":[138],"role":[140],"at":[143],"levels":[145],"task":[148],"detection.":[151],"DDSC":[152],"adopts":[153],"concatenation":[154],"fuse":[156],"semantic":[158],"shape":[161],"information.":[162],"proposed":[164,181],"evaluated":[167],"on":[168],"four":[169],"common":[170],"datasets,":[171],"experimental":[174],"results":[175],"show":[176],"effectiveness":[178],"method.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
