{"id":"https://openalex.org/W2962932778","doi":"https://doi.org/10.24963/ijcai.2017/335","title":"Image Matching via Loopy RNN","display_name":"Image Matching via Loopy RNN","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2962932778","doi":"https://doi.org/10.24963/ijcai.2017/335","mag":"2962932778"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/335","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/335","pdf_url":"https://www.ijcai.org/proceedings/2017/0335.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0335.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027893969","display_name":"Donghao Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Donghao Luo","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014362734","display_name":"Bingbing Ni","orcid":"https://orcid.org/0000-0001-7339-028X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingbing Ni","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048907728","display_name":"Yichao Yan","orcid":"https://orcid.org/0000-0003-3209-8965"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichao Yan","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019708391","display_name":"Xiaokang Yang","orcid":"https://orcid.org/0000-0003-4029-3322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Yang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027893969"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53239774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2407","last_page":"2413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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":0.9991000294685364,"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":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.6654273271560669},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6583070158958435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.592613160610199},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5436103343963623},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5362892150878906},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4966438412666321},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4839789867401123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46773868799209595},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42547351121902466},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4172070324420929},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.4148423671722412},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41149836778640747},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3926868140697479},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3314951956272125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2688126266002655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6654273271560669},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6583070158958435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.592613160610199},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5436103343963623},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5362892150878906},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4966438412666321},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4839789867401123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46773868799209595},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42547351121902466},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4172070324420929},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.4148423671722412},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41149836778640747},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3926868140697479},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3314951956272125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2688126266002655},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/335","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/335","pdf_url":"https://www.ijcai.org/proceedings/2017/0335.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/335","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/335","pdf_url":"https://www.ijcai.org/proceedings/2017/0335.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1474490597","display_name":null,"funder_award_id":"111 Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1974128321","display_name":null,"funder_award_id":"B07022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2239221718","display_name":null,"funder_award_id":"6152106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2970926569","display_name":null,"funder_award_id":"B07022","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4083674505","display_name":null,"funder_award_id":"61502301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5643549880","display_name":null,"funder_award_id":"B0702","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6088092935","display_name":null,"funder_award_id":"61521062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6697896495","display_name":null,"funder_award_id":"No.U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962932778.pdf","grobid_xml":"https://content.openalex.org/works/W2962932778.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1901379498","https://openalex.org/W1929856797","https://openalex.org/W1955055330","https://openalex.org/W2005720384","https://openalex.org/W2010642153","https://openalex.org/W2089888558","https://openalex.org/W2117228865","https://openalex.org/W2127589108","https://openalex.org/W2128031471","https://openalex.org/W2128237624","https://openalex.org/W2135442311","https://openalex.org/W2137402913","https://openalex.org/W2151103935","https://openalex.org/W2151638304","https://openalex.org/W2158602558","https://openalex.org/W2163605009","https://openalex.org/W2177274842","https://openalex.org/W2212363941","https://openalex.org/W2369976370","https://openalex.org/W2470394683","https://openalex.org/W2472970127","https://openalex.org/W2519803806","https://openalex.org/W2593331594","https://openalex.org/W2604909019","https://openalex.org/W2950094539","https://openalex.org/W4300614726"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W2049983311","https://openalex.org/W2088946561","https://openalex.org/W2802511870","https://openalex.org/W2372581239"],"abstract_inverted_index":{"Most":[0],"existing":[1],"matching":[2,82,144,151],"algorithms":[3],"are":[4],"one-off":[5],"algorithms,":[6],"i.e.,":[7,32],"they":[8],"usually":[9],"measure":[10],"the":[11,14,47,80,85,105,109,113,117,135,142,154,158],"distance":[12],"between":[13],"two":[15,71,92],"image":[16,33,150],"feature":[17],"representation":[18],"vectors":[19],"for":[20,127,134],"only":[21],"one":[22],"time.":[23],"In":[24],"contrast,":[25],"human's":[26],"vision":[27],"system":[28],"achieves":[29],"this":[30,51],"task,":[31],"matching,":[34],"by":[35],"recursively":[36],"looking":[37],"at":[38],"specific/related":[39],"parts":[40],"of":[41,66,70,108,116,157],"both":[42],"images":[43,73],"and":[44,78],"then":[45],"making":[46],"final":[48,86],"judgement.":[49],"Towards":[50],"end,":[52],"we":[53],"propose":[54],"a":[55,75,130],"novel":[56],"loopy":[57],"recurrent":[58],"neural":[59],"network":[60,137],"(Loopy":[61],"RNN),":[62],"which":[63],"is":[64],"capable":[65],"aggregating":[67],"relationship":[68],"information":[69],"input":[72,114],"in":[74,84],"progressive/iterative":[76],"manner":[77],"outputting":[79],"consolidated":[81],"score":[83],"iteration.":[87],"A":[88],"Loopy":[89],"RNN":[90],"features":[91],"uniqueness.":[93],"First,":[94],"built":[95],"on":[96,148],"conventional":[97],"long":[98],"short-term":[99],"memory":[100],"(LSTM)":[101],"nodes,":[102],"it":[103,121],"links":[104],"output":[106],"gate":[107,115],"tail":[110],"node":[111],"to":[112],"head":[118],"node,":[119],"thus":[120],"brings":[122],"up":[123],"symmetry":[124],"property":[125],"required":[126],"matching.":[128],"Second,":[129],"monotonous":[131],"loss":[132],"designed":[133],"proposed":[136,159],"guarantees":[138],"increasing":[139],"confidence":[140],"during":[141],"recursive":[143],"process.":[145],"Extensive":[146],"experiments":[147],"several":[149],"benchmarks":[152],"demonstrate":[153],"great":[155],"potential":[156],"method.":[160]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}