{"id":"https://openalex.org/W4415707723","doi":"https://doi.org/10.1109/icme59968.2025.11209927","title":"ALCReg: Active Label Correction for Partial Point Cloud Registration","display_name":"ALCReg: Active Label Correction for Partial Point Cloud Registration","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707723","doi":"https://doi.org/10.1109/icme59968.2025.11209927"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209927","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 Multimedia and Expo (ICME)","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/A5086233911","display_name":"Zongyi Xu","orcid":"https://orcid.org/0000-0002-8267-6834"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zongyi Xu","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074958556","display_name":"Xinqi Jiang","orcid":"https://orcid.org/0009-0002-7503-0231"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinqi Jiang","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037413814","display_name":"Xinyu Gao","orcid":"https://orcid.org/0000-0001-6690-0974"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Gao","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101873694","display_name":"Shanshan Zhao","orcid":"https://orcid.org/0000-0003-0682-8645"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Shanshan Zhao","raw_affiliation_strings":["AI Business, Alibaba Group,China"],"affiliations":[{"raw_affiliation_string":"AI Business, Alibaba Group,China","institution_ids":["https://openalex.org/I45928872","https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067368513","display_name":"Qianni Zhang","orcid":"https://orcid.org/0000-0001-7685-2187"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qianni Zhang","raw_affiliation_strings":["Queen Mary University of London,London,UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058194445","display_name":"Weisheng Li","orcid":"https://orcid.org/0000-0002-9033-8245"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Li","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5086233911"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32701955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.390500009059906,"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":0.390500009059906,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.3488999903202057,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.01600000075995922,"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/point-cloud","display_name":"Point cloud","score":0.7275999784469604},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6068999767303467},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.5702000260353088},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5475999712944031},{"id":"https://openalex.org/keywords/representativeness-heuristic","display_name":"Representativeness heuristic","score":0.459199994802475},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43059998750686646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7319999933242798},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7275999784469604},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6068999767303467},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.5702000260353088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5540000200271606},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5475999712944031},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.459199994802475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4309999942779541},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43059998750686646},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42410001158714294},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.3864000141620636},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3488999903202057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33550000190734863},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C2777774050","wikidata":"https://www.wikidata.org/wiki/Q16945110","display_name":"Control point","level":2,"score":0.2831000089645386}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209927","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 Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322271","display_name":"Science Fund for Creative Research Groups","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2566265240","https://openalex.org/W2883357174","https://openalex.org/W2889300857","https://openalex.org/W3034295752","https://openalex.org/W3039659384","https://openalex.org/W3153635465","https://openalex.org/W3173472634","https://openalex.org/W3177280664","https://openalex.org/W4226373316","https://openalex.org/W4312516208","https://openalex.org/W4312788649","https://openalex.org/W4321020868","https://openalex.org/W4381741319","https://openalex.org/W4382203304","https://openalex.org/W4386065549","https://openalex.org/W4386065759","https://openalex.org/W4386076591","https://openalex.org/W4390871922","https://openalex.org/W4392083257","https://openalex.org/W4394625674","https://openalex.org/W4402772491","https://openalex.org/W4402774465","https://openalex.org/W4402816638","https://openalex.org/W4403757541","https://openalex.org/W4403842050"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"point":[1,31,130],"cloud":[2,32,131],"registration":[3,33,111],"methods":[4],"encounter":[5],"challenges":[6],"due":[7],"to":[8,40,84],"partial":[9,30,129],"overlaps":[10],"and":[11,55,89,99],"are":[12],"heavily":[13],"reliant":[14],"on":[15,77,96],"labeled":[16,118],"data.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21,60],"propose":[22,61],"ALCReg,":[23],"an":[24,62,72],"active":[25,49,124],"label":[26],"correction":[27],"method":[28,126],"for":[29,68,128],"learning.":[34,50],"ALCReg":[35,104],"utilises":[36],"a":[37],"multimodal":[38],"approach":[39],"generate":[41],"pseudo":[42,86],"labels,":[43],"mitigating":[44],"the":[45,53,82,97,109,122],"cold-start":[46],"issue":[47],"in":[48],"To":[51],"ensure":[52],"diversity":[54],"representativeness":[56],"of":[57,117],"selected":[58],"samples,":[59,119],"inlier":[63],"ratio":[64],"based":[65,76],"query":[66],"strategy":[67],"manual":[69],"correction.":[70],"Furthermore,":[71],"innovative":[73],"self-correction":[74],"mechanism":[75],"consistency":[78],"is":[79,134],"introduced,":[80],"allowing":[81],"model":[83,92],"refine":[85],"labels":[87],"autonomously":[88],"further":[90],"improve":[91],"performance.":[93],"Experimental":[94],"results":[95],"3DMatch":[98],"3DLoMatch":[100],"datasets":[101],"demonstrate":[102],"that":[103],"achieves":[105],"comparable":[106],"performance":[107],"with":[108,114],"fully-supervised":[110],"methods,":[112],"even":[113],"only":[115],"5%":[116],"making":[120],"it":[121],"first":[123],"learning":[125],"tailored":[127],"registration.":[132],"Code":[133],"available":[135],"at":[136],"https://github.com/Jiang0903/ALCReg.":[137]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}