{"id":"https://openalex.org/W4413925473","doi":"https://doi.org/10.1109/icra55743.2025.11127875","title":"A Coarse-to-Fine Event-based Framework for Camera Pose Relocalization with Spatio-Temporal Retrieval and Refinement Network","display_name":"A Coarse-to-Fine Event-based Framework for Camera Pose Relocalization with Spatio-Temporal Retrieval and Refinement Network","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413925473","doi":"https://doi.org/10.1109/icra55743.2025.11127875"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11127875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-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/A5043079039","display_name":"Yuhang Song","orcid":"https://orcid.org/0000-0002-3056-4056"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhang Song","raw_affiliation_strings":["Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613968","display_name":"Hao Zhuang","orcid":"https://orcid.org/0000-0002-3731-7162"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhuang","raw_affiliation_strings":["Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101993413","display_name":"Junjie Jiang","orcid":"https://orcid.org/0000-0002-6820-8487"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Jiang","raw_affiliation_strings":["Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103147123","display_name":"Z. Liu","orcid":"https://orcid.org/0009-0002-8122-2141"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuntao Liu","raw_affiliation_strings":["Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064687463","display_name":"Zheng Fang","orcid":"https://orcid.org/0000-0003-3887-3141"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Fang","raw_affiliation_strings":["Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043079039"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28359719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4594","last_page":"4600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9970999956130981,"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":0.7693825960159302},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5846773982048035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.527989387512207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4301607012748718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7693825960159302},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5846773982048035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.527989387512207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4301607012748718},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11127875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2012592962","https://openalex.org/W2016574277","https://openalex.org/W2200124539","https://openalex.org/W2567239141","https://openalex.org/W2584731199","https://openalex.org/W2602709638","https://openalex.org/W2605111497","https://openalex.org/W2744749505","https://openalex.org/W2904275768","https://openalex.org/W2922107638","https://openalex.org/W2963024893","https://openalex.org/W2964175348","https://openalex.org/W2966103660","https://openalex.org/W2973188260","https://openalex.org/W3039515597","https://openalex.org/W3040838455","https://openalex.org/W3116214257","https://openalex.org/W3144939529","https://openalex.org/W3205106055","https://openalex.org/W4225886149","https://openalex.org/W4246193833","https://openalex.org/W4292544413","https://openalex.org/W4316143372","https://openalex.org/W4319978499","https://openalex.org/W4366503954","https://openalex.org/W4383097532","https://openalex.org/W4383108464","https://openalex.org/W4383108531","https://openalex.org/W4385805093","https://openalex.org/W4387010759","https://openalex.org/W4391741850","https://openalex.org/W4402753624"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Most":[0],"existing":[1],"event-based":[2,73],"camera":[3],"pose":[4,83,115],"relocalization":[5],"(CPR)":[6],"learning":[7,140],"methods":[8,29,58],"implicitly":[9],"encode":[10,97],"environmental":[11,34],"information":[12,35],"into":[13],"network":[14,85],"parameters":[15],"to":[16,23,31,86,145],"achieve":[17,146],"end-to-end":[18,27,57,82],"mapping":[19,48],"from":[20,81],"event":[21,111],"stream":[22],"pose.":[24,152],"However,":[25],"these":[26],"CPR":[28,74],"fail":[30],"utilize":[32],"prior":[33],"effectively.":[36],"As":[37],"the":[38,41,44,53,56,64,70,91,102,114,129,150,160,182],"scale":[39],"of":[40,46,55,109,139,149],"environment":[42],"increases,":[43],"difficulty":[45],"this":[47,67],"relationship":[49],"grows":[50],"significantly,":[51],"reducing":[52],"robustness":[54],"across":[59],"different":[60],"scenarios.":[61],"To":[62],"address":[63],"above":[65],"issues,":[66],"paper":[68],"proposes":[69],"first":[71],"coarse-to-fine":[72],"framework,":[75],"which":[76,136],"achieves":[77],"a":[78,87,156,175],"new":[79],"paradigm":[80],"regression":[84,148],"hierarchical":[88],"approach.":[89],"In":[90,113],"coarse":[92],"localization":[93],"stage,":[94,117],"we":[95,118,154],"effectively":[96],"similarity":[98],"features":[99,144],"by":[100],"incorporating":[101],"fine-grained":[103],"temporal":[104],"information,":[105],"achieving":[106,165],"accurate":[107,147],"retrieval":[108],"nearby":[110],"stream.":[112],"refinement":[116],"present":[119],"an":[120],"Event":[121],"Spatio-temporal":[122],"Pose":[123],"Refinement":[124],"Network":[125],"(ESPR-Net)":[126],"based":[127],"on":[128,159,169,181],"Recurrent":[130],"Convolutional":[131],"Neural":[132],"Networks":[133],"(RCNN)":[134],"architecture,":[135],"is":[137],"capable":[138],"more":[141],"nu-anced":[142],"spatio-temporal":[143],"relative":[151],"Finally,":[153],"conducted":[155],"comprehensive":[157],"comparison":[158],"IJRR":[161],"and":[162],"M3ED":[163,184],"dataset,":[164],"state-of-the-art":[166],"(SOTA)":[167],"performance":[168,179],"both.":[170],"Notably,":[171],"our":[172],"method":[173],"attains":[174],"significant":[176],"83":[177],"%":[178],"improvement":[180],"outdoor":[183],"dataset.":[185]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}