{"id":"https://openalex.org/W4402704507","doi":"https://doi.org/10.1109/cvpr52733.2024.00398","title":"Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features","display_name":"Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402704507","doi":"https://doi.org/10.1109/cvpr52733.2024.00398"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.00398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5102739848","display_name":"Thomas Wimmer","orcid":"https://orcid.org/0009-0006-0895-3529"},"institutions":[{"id":"https://openalex.org/I4210139461","display_name":"Laboratoire d'Informatique de l'\u00c9cole Polytechnique","ror":"https://ror.org/04afed728","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I142476485","https://openalex.org/I4210139461","https://openalex.org/I4210145102","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thomas Wimmer","raw_affiliation_strings":["LIX, École Polytechnique"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIX, École Polytechnique","institution_ids":["https://openalex.org/I4210139461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076768552","display_name":"Peter Wonka","orcid":"https://orcid.org/0000-0003-0627-9746"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","SA"],"is_corresponding":false,"raw_author_name":"Peter Wonka","raw_affiliation_strings":["KAUST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAUST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I71920554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108914317","display_name":"Maks Ovsjanikov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139461","display_name":"Laboratoire d'Informatique de l'\u00c9cole Polytechnique","ror":"https://ror.org/04afed728","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I142476485","https://openalex.org/I4210139461","https://openalex.org/I4210145102","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maks Ovsjanikov","raw_affiliation_strings":["LIX, École Polytechnique"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIX, École Polytechnique","institution_ids":["https://openalex.org/I4210139461"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102739848"],"corresponding_institution_ids":["https://openalex.org/I4210139461"],"apc_list":null,"apc_paid":null,"fwci":3.2227,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93241282,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4154","last_page":"4164"},"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":0.9987999796867371,"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":0.9987999796867371,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9986000061035156,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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/shot","display_name":"Shot (pellet)","score":0.7281678318977356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5997518301010132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5707033276557922},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5618924498558044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5122031569480896},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.4725089967250824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3947725296020508},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15437051653862},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1282319724559784},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.098603755235672},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09559690952301025}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7281678318977356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5997518301010132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5707033276557922},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5618924498558044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5122031569480896},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.4725089967250824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3947725296020508},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15437051653862},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1282319724559784},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.098603755235672},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09559690952301025},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.00398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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":60,"referenced_works":["https://openalex.org/W1972485825","https://openalex.org/W1989625560","https://openalex.org/W2020682184","https://openalex.org/W2067956279","https://openalex.org/W2091791686","https://openalex.org/W2100657858","https://openalex.org/W2127025496","https://openalex.org/W2210012412","https://openalex.org/W2411353657","https://openalex.org/W2553307952","https://openalex.org/W2560609797","https://openalex.org/W2724890070","https://openalex.org/W2895588840","https://openalex.org/W2981556384","https://openalex.org/W3028567936","https://openalex.org/W3034669309","https://openalex.org/W3034675048","https://openalex.org/W3103137580","https://openalex.org/W3111487461","https://openalex.org/W3159481202","https://openalex.org/W3169909104","https://openalex.org/W3177632728","https://openalex.org/W4281922683","https://openalex.org/W4292779060","https://openalex.org/W4311407471","https://openalex.org/W4312433820","https://openalex.org/W4312649925","https://openalex.org/W4312788538","https://openalex.org/W4312818263","https://openalex.org/W4313041309","https://openalex.org/W4313156423","https://openalex.org/W4317437653","https://openalex.org/W4365441113","https://openalex.org/W4366208220","https://openalex.org/W4385527421","https://openalex.org/W4386065742","https://openalex.org/W4386075622","https://openalex.org/W4386075660","https://openalex.org/W4386075863","https://openalex.org/W4386076668","https://openalex.org/W4389574979","https://openalex.org/W4390189960","https://openalex.org/W4390874575","https://openalex.org/W4394671432","https://openalex.org/W4394929009","https://openalex.org/W6678764618","https://openalex.org/W6687484953","https://openalex.org/W6762718338","https://openalex.org/W6777296265","https://openalex.org/W6778883912","https://openalex.org/W6781568228","https://openalex.org/W6784313998","https://openalex.org/W6791353385","https://openalex.org/W6796163856","https://openalex.org/W6797825636","https://openalex.org/W6839294089","https://openalex.org/W6848890072","https://openalex.org/W6851800889","https://openalex.org/W6853153384","https://openalex.org/W6856874090"],"related_works":["https://openalex.org/W3142396426","https://openalex.org/W2471333042","https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W2955491601","https://openalex.org/W3044321615","https://openalex.org/W4396643691","https://openalex.org/W146529714","https://openalex.org/W4402383816","https://openalex.org/W2316500695"],"abstract_inverted_index":{"With":[0],"the":[1,34,122,129,135,146,153,158,161],"immense":[2],"growth":[3],"of":[4,36,45,126,145,160],"dataset":[5],"sizes":[6],"and":[7,21,53,80,99,131],"computing":[8],"resources":[9],"in":[10,19],"recent":[11],"years,":[12],"so-called":[13],"foundation":[14,31,108],"models":[15,32,76],"have":[16],"become":[17],"popular":[18],"NLP":[20],"vision":[22,75],"tasks.":[23],"In":[24],"this":[25,63,84],"work,":[26],"we":[27,65,89,111],"propose":[28],"to":[29,68,120],"explore":[30],"for":[33,83,148],"task":[35],"key-point":[37,114,150],"detection":[38,47,151],"on":[39,128,152],"3D":[40,78,92],"shapes.":[41],"A":[42],"unique":[43],"characteristic":[44],"keypoint":[46],"is":[48,132],"that":[49,88,94],"it":[50],"requires":[51],"semantic":[52,97],"geomet-ric":[54],"awareness":[55],"while":[56],"demanding":[57],"high":[58],"localization":[59],"accuracy.":[60],"To":[61],"address":[62],"problem,":[64],"propose,":[66],"first,":[67],"back-project":[69],"features":[70,93,103],"from":[71,105],"large":[72],"pre-trained":[73],"2D":[74,107],"onto":[77],"shapes":[79],"employ":[81,112],"them":[82],"task.":[85],"We":[86],"show":[87],"ob-tain":[90],"robust":[91],"contain":[95],"rich":[96],"information":[98],"analyze":[100],"multiple":[101],"candidate":[102,115],"stemming":[104],"different":[106],"models.":[109],"Second,":[110],"a":[113,142],"optimization":[116],"module":[117],"which":[118],"aims":[119],"match":[121],"average":[123],"observed":[124],"distribution":[125],"keypoints":[127],"shape":[130],"guided":[133],"by":[134],"back-projected":[136],"features.":[137],"The":[138],"resulting":[139],"approach":[140],"achieves":[141],"new":[143],"state":[144],"art":[147],"few-shot":[149],"KeyPointNet":[154],"dataset,":[155],"almost":[156],"doubling":[157],"performance":[159],"previous":[162],"best":[163],"methods.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}