{"id":"https://openalex.org/W3164387584","doi":"https://doi.org/10.1109/tip.2021.3082310","title":"Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning","display_name":"Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3164387584","doi":"https://doi.org/10.1109/tip.2021.3082310","mag":"3164387584","pmid":"https://pubmed.ncbi.nlm.nih.gov/34038361"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3082310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3082310","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5010277066","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0001-7183-3155"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7183-3155","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015757467","display_name":"Chaoda Zheng","orcid":"https://orcid.org/0000-0001-9347-4181"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoda Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9347-4181","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037627177","display_name":"Ruotao Xu","orcid":"https://orcid.org/0000-0002-5277-9859"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruotao Xu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5277-9859","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038130835","display_name":"Yuhui Quan","orcid":"https://orcid.org/0000-0002-2564-7703"},"institutions":[{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Quan","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2564-7703","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061469520","display_name":"Haibin Ling","orcid":"https://orcid.org/0000-0003-4094-8413"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibin Ling","raw_affiliation_strings":["Stony Brook University, Strony Brook, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-4094-8413","affiliations":[{"raw_affiliation_string":"Stony Brook University, Strony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.2134,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.97982875,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"5299","last_page":"5312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9919999837875366,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7585630416870117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.70280921459198},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6008305549621582},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5495039224624634},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.547366738319397},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5452847480773926},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.543736457824707},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5360311269760132},{"id":"https://openalex.org/keywords/correspondence-problem","display_name":"Correspondence problem","score":0.5183242559432983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5042673349380493},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4113616347312927}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7585630416870117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70280921459198},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6008305549621582},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5495039224624634},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.547366738319397},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5452847480773926},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.543736457824707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5360311269760132},{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.5183242559432983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5042673349380493},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4113616347312927},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3082310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3082310","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:34038361","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34038361","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1829986904","display_name":"\u6076\u52a3\u5149\u7167\u6761\u4ef6\u4e0b\u7684\u4eba\u8138\u68c0\u6d4b\u5173\u952e\u7406\u8bba\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"62072188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7898789022","display_name":null,"funder_award_id":"6187215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8422954243","display_name":null,"funder_award_id":"2019A050510010","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1507347479","https://openalex.org/W1644641054","https://openalex.org/W1677182931","https://openalex.org/W1920022804","https://openalex.org/W1922697897","https://openalex.org/W2007206727","https://openalex.org/W2108444897","https://openalex.org/W2115826585","https://openalex.org/W2129408679","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2304445386","https://openalex.org/W2342223463","https://openalex.org/W2504204199","https://openalex.org/W2511691466","https://openalex.org/W2546066744","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2580018057","https://openalex.org/W2591117648","https://openalex.org/W2606202972","https://openalex.org/W2608645542","https://openalex.org/W2773432235","https://openalex.org/W2774433906","https://openalex.org/W2798998662","https://openalex.org/W2799162093","https://openalex.org/W2808242586","https://openalex.org/W2888486794","https://openalex.org/W2889055034","https://openalex.org/W2890018557","https://openalex.org/W2893477965","https://openalex.org/W2896196878","https://openalex.org/W2905173041","https://openalex.org/W2921891839","https://openalex.org/W2930709109","https://openalex.org/W2942498895","https://openalex.org/W2962724911","https://openalex.org/W2962928871","https://openalex.org/W2963053547","https://openalex.org/W2963091558","https://openalex.org/W2963121255","https://openalex.org/W2963123724","https://openalex.org/W2963333168","https://openalex.org/W2963397183","https://openalex.org/W2963425704","https://openalex.org/W2963509914","https://openalex.org/W2963632978","https://openalex.org/W2963719584","https://openalex.org/W2964342398","https://openalex.org/W2967504892","https://openalex.org/W2986519121","https://openalex.org/W2987211005","https://openalex.org/W2992687594","https://openalex.org/W3001122500","https://openalex.org/W3015648709","https://openalex.org/W3035541121","https://openalex.org/W4297741728","https://openalex.org/W6640129119","https://openalex.org/W6640300118","https://openalex.org/W6676079856","https://openalex.org/W6713517206","https://openalex.org/W6724310229","https://openalex.org/W6725627366","https://openalex.org/W6729001083","https://openalex.org/W6736612982","https://openalex.org/W6739778489","https://openalex.org/W6754737883","https://openalex.org/W6754827684","https://openalex.org/W6761590077","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W93537448","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W4233821346"],"abstract_inverted_index":{"In":[0,73],"recent":[1],"years,":[2],"multi-view":[3],"learning":[4,131],"has":[5],"emerged":[6],"as":[7,166,168],"a":[8,17,33,78,139],"promising":[9],"approach":[10],"for":[11,57,130,150],"3D":[12,18,151],"shape":[13,19,103,152],"recognition,":[14],"which":[15,52,83],"identifies":[16],"based":[20],"on":[21],"its":[22],"2D":[23],"views":[24,38],"taken":[25,127],"from":[26,105],"different":[27,37],"viewpoints.":[28],"Usually,":[29],"the":[30,40,47,50,102,106,112,135,160,163,169,173],"correspondences":[31,62,88,91,107,116],"inside":[32],"view":[34,61],"or":[35],"across":[36],"encode":[39],"spatial":[41,113],"arrangement":[42],"of":[43,49,115,119,162,172],"object":[44],"parts":[45],"and":[46,67,89,99,123,154],"symmetry":[48],"object,":[51],"provide":[53],"useful":[54],"geometric":[55],"cues":[56],"recognition.":[58],"However,":[59],"such":[60],"have":[63,158],"not":[64],"been":[65],"explicitly":[66,84],"fully":[68],"exploited":[69],"in":[70,96,117],"existing":[71],"work.":[72],"this":[74],"paper,":[75],"we":[76,142],"propose":[77,143],"correspondence-aware":[79,132],"representation":[80],"(CAR)":[81],"module,":[82],"finds":[85],"potential":[86],"intra-view":[87,124],"cross-view":[90],"via":[92,108],"k":[93],"NN":[94],"search":[95],"semantic":[97],"space":[98],"then":[100],"aggregates":[101],"features":[104],"learned":[109],"transforms.":[110],"Particularly,":[111],"relations":[114],"terms":[118],"their":[120],"viewpoint":[121],"positions":[122],"locations":[125],"are":[126],"into":[128,138],"account":[129],"features.":[133],"Incorporating":[134],"CAR":[136,164],"module":[137,165],"ResNet-18":[140],"backbone,":[141],"an":[144],"effective":[145],"deep":[146],"model":[147],"called":[148],"CAR-Net":[149],"classification":[153],"retrieval.":[155],"Extensive":[156],"experiments":[157],"demonstrated":[159],"effectiveness":[161],"well":[167],"excellent":[170],"performance":[171],"CAR-Net.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}