iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1109/ICME52920.2022.9859992
{"id":"https://openalex.org/W4293518658","doi":"https://doi.org/10.1109/icme52920.2022.9859992","title":"SMDT: Cross-View Geo-Localization with Image Alignment and Transformer","display_name":"SMDT: Cross-View Geo-Localization with Image Alignment and Transformer","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293518658","doi":"https://doi.org/10.1109/icme52920.2022.9859992"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859992","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5031350072","display_name":"Xiaoyang Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Tian","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072350518","display_name":"Jie Shao","orcid":"https://orcid.org/0000-0003-2615-1555"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Shao","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065413088","display_name":"Deqiang Ouyang","orcid":"https://orcid.org/0000-0003-2259-886X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqiang Ouyang","raw_affiliation_strings":["Chongqing University,Chongqing,China,400044"],"affiliations":[{"raw_affiliation_string":"Chongqing University,Chongqing,China,400044","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081872546","display_name":"Anjie Zhu","orcid":"https://orcid.org/0000-0002-4634-7961"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anjie Zhu","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643582","display_name":"Feiyu Chen","orcid":"https://orcid.org/0000-0002-0928-6899"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyu Chen","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.764,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.693429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Image Feature Retrieval and Recognition Techniques","score":0.9999,"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":"Image Feature Retrieval and Recognition Techniques","score":0.9999,"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/T10191","display_name":"Simultaneous Localization and Mapping","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10531","display_name":"Stereo Vision and Depth Estimation","score":0.9993,"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/aerial-image","display_name":"Aerial image","score":0.6311206},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6108419},{"id":"https://openalex.org/keywords/localization","display_name":"Localization","score":0.568329},{"id":"https://openalex.org/keywords/3d-mapping","display_name":"3D Mapping","score":0.544211},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature Matching","score":0.537748},{"id":"https://openalex.org/keywords/cross-modal-retrieval","display_name":"Cross-Modal Retrieval","score":0.512347}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71691006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978736},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.66078186},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.6311206},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6108419},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5268986},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5236459},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5064949},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38096315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34822816},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.080209345},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859992","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5,"id":"https://metadata.un.org/sdg/11"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61832001"}],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W2125389028","https://openalex.org/W2199890863","https://openalex.org/W2479919622","https://openalex.org/W2572697301","https://openalex.org/W2737258237","https://openalex.org/W2765838470","https://openalex.org/W2799087793","https://openalex.org/W2963073614","https://openalex.org/W2963474852","https://openalex.org/W2965143341","https://openalex.org/W2981670313","https://openalex.org/W2992077842","https://openalex.org/W2997129483","https://openalex.org/W3035158519","https://openalex.org/W3035575220","https://openalex.org/W3092462694","https://openalex.org/W3092933908","https://openalex.org/W3094502228","https://openalex.org/W3174800995","https://openalex.org/W3212632252","https://openalex.org/W3214744507","https://openalex.org/W4206760693"],"related_works":["https://openalex.org/W3112953119","https://openalex.org/W2517104666","https://openalex.org/W2134924024","https://openalex.org/W2110230079","https://openalex.org/W2023558673","https://openalex.org/W2008656436","https://openalex.org/W2005437358","https://openalex.org/W1982826852","https://openalex.org/W1669643531","https://openalex.org/W158826679"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,10,26,33,74,134],"cross-view":[3,48,148],"geo-localization":[4],"is":[5,142],"to":[6,64,77,107,121,129,144],"determine":[7],"the":[8,24,71,98,109,132,145],"location":[9],"a":[11,47],"given":[12],"ground":[13,113],"image":[14,40,54,111,123],"by":[15,80,96],"matching":[16,49],"with":[17,53,112],"aerial":[18,75,110],"images.":[19],"However,":[20],"existing":[21,146],"methods":[22],"ignore":[23],"variability":[25],"scenes,":[27],"additional":[28],"information":[29],"and":[30,35,56,84,102],"spatial":[31],"correspondence":[32],"covisibility":[34],"non-convisibility":[36],"areas":[37],"in":[38],"ground-aerial":[39],"pairs.":[41],"In":[42],"this":[43],"context,":[44],"we":[45,59,69,88,126],"propose":[46],"method":[50,141],"called":[51],"SMDT":[52,140],"alignment":[55],"Transformer.":[57],"First,":[58],"utilize":[60,131],"semantic":[61,99],"segmentation":[62,100],"technique":[63],"segment":[65],"different":[66],"areas.":[67],"Then,":[68],"convert":[70],"vertical":[72],"view":[73,79,114],"images":[76,101,104],"front":[78],"mixing":[81],"polar":[82],"mapping":[83],"perspective":[85],"mapping.":[86],"Next,":[87],"simultaneously":[89],"train":[90],"dual":[91],"conditional":[92],"generative":[93],"adversarial":[94],"nets":[95],"taking":[97],"converted":[103],"as":[105,122],"input":[106],"synthesize":[108],"style.":[115],"These":[116],"steps":[117],"are":[118],"collectively":[119],"referred":[120],"alignment.":[124],"Last,":[125],"use":[127],"Transformer":[128],"explicitly":[130],"properties":[133],"self-attention.":[135],"Experiments":[136],"show":[137],"that":[138],"our":[139],"superior":[143],"ground-to-aerial":[147],"methods.":[149]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4293518658","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2024-11-22T12:28:14.391357","created_date":"2022-08-30"}