{"id":"https://openalex.org/W4407127822","doi":"https://doi.org/10.1109/tcsvt.2025.3538604","title":"V2PNet: A Voxel-to-Point Network Framework for Task-Oriented Point Cloud Sampling","display_name":"V2PNet: A Voxel-to-Point Network Framework for Task-Oriented Point Cloud Sampling","publication_year":2025,"publication_date":"2025-02-04","ids":{"openalex":"https://openalex.org/W4407127822","doi":"https://doi.org/10.1109/tcsvt.2025.3538604"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3538604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3538604","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.gla.ac.uk/view/author/6716.html>","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001704536","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0001-6852-1740"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, the State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6852-1740","affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, the State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033896100","display_name":"Yi Jin","orcid":"https://orcid.org/0000-0001-8408-3816"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Jin","raw_affiliation_strings":["Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, the State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8408-3816","affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, the State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082462498","display_name":"Yigang Cen","orcid":"https://orcid.org/0000-0001-6255-9422"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yigang Cen","raw_affiliation_strings":["Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, the State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6255-9422","affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, the State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010019122","display_name":"Yidong Li","orcid":"https://orcid.org/0000-0003-2965-6196"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidong Li","raw_affiliation_strings":["Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, the State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2965-6196","affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, the State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, and the School of Computer and Information Technology, Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006580423","display_name":"Hui Yu","orcid":"https://orcid.org/0000-0002-7655-9228"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hui Yu","raw_affiliation_strings":["cSCAN Centre, University of Glasgow, Glasgow, U.K","cSCAN Centre, University of Glasgow, UK"],"raw_orcid":"https://orcid.org/0000-0002-7655-9228","affiliations":[{"raw_affiliation_string":"cSCAN Centre, University of Glasgow, Glasgow, U.K","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"cSCAN Centre, University of Glasgow, UK","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2837,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89834437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"35","issue":"7","first_page":"6286","last_page":"6299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.996999979019165,"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":0.996999979019165,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9796000123023987,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.743363618850708},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5404890179634094},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5147781372070312},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5143176317214966},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.49188828468322754},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.49002206325531006},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4436858594417572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3912535309791565},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34563377499580383},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2757206857204437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14733698964118958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743363618850708},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5404890179634094},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5147781372070312},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5143176317214966},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.49188828468322754},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.49002206325531006},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4436858594417572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3912535309791565},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34563377499580383},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2757206857204437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14733698964118958},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2025.3538604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3538604","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:eprints.gla.ac.uk:367993","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/6716.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Articles"}],"best_oa_location":{"id":"pmh:oai:eprints.gla.ac.uk:367993","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/6716.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Articles"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2873120693","display_name":null,"funder_award_id":"L231012","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G5299590918","display_name":null,"funder_award_id":"2022YFB3103500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G53838021","display_name":null,"funder_award_id":"62473033","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/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W2752782242","https://openalex.org/W2886499109","https://openalex.org/W2899198239","https://openalex.org/W2938260698","https://openalex.org/W2946709531","https://openalex.org/W2963094037","https://openalex.org/W2964012402","https://openalex.org/W2981440248","https://openalex.org/W2997088169","https://openalex.org/W3004895274","https://openalex.org/W3034317268","https://openalex.org/W3034552520","https://openalex.org/W3035549967","https://openalex.org/W3111535274","https://openalex.org/W3119860245","https://openalex.org/W3126855404","https://openalex.org/W3159346357","https://openalex.org/W3164543136","https://openalex.org/W3204630100","https://openalex.org/W4281737392","https://openalex.org/W4289752563","https://openalex.org/W4306833423","https://openalex.org/W4317987768","https://openalex.org/W4318769274","https://openalex.org/W4321021814","https://openalex.org/W4366148252","https://openalex.org/W4367016777","https://openalex.org/W4386076399","https://openalex.org/W4386083138","https://openalex.org/W4386918784","https://openalex.org/W4400071729","https://openalex.org/W4402716154","https://openalex.org/W6687484953","https://openalex.org/W6739778489","https://openalex.org/W6763422710","https://openalex.org/W6765299845","https://openalex.org/W6766978945","https://openalex.org/W6767284090"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W4244478748","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W1998563493","https://openalex.org/W3150465815","https://openalex.org/W4306164210","https://openalex.org/W4223488648","https://openalex.org/W4313316311"],"abstract_inverted_index":{"Task-oriented":[0],"point":[1,62,89,145],"cloud":[2,63,90],"sampling":[3,26,72,116,129,179],"is":[4],"a":[5,15,29,53,69,126,156],"fundamental":[6],"technique":[7],"in":[8,18],"3D":[9,20],"computer":[10],"vision":[11],"and":[12,114,135],"has":[13],"become":[14],"crucial":[16],"step":[17],"numerous":[19],"applications.":[21],"However,":[22],"most":[23],"state-of-the-art":[24,177],"task-oriented":[25,61,115,127,178],"methods":[27],"adopt":[28],"point-wise":[30,113],"analysis":[31],"strategy,":[32],"making":[33],"them":[34],"susceptible":[35],"to":[36,141,148,161],"data":[37],"redundancy.":[38],"Taking":[39],"inspiration":[40],"from":[41,84,99,138],"the":[42,47,88,103,108,143,163,173],"abstract-to-detailed":[43],"recognition":[44],"process":[45],"of":[46,87,175],"human":[48],"visual":[49],"system,":[50],"we":[51,66,154],"propose":[52],"novel":[54],"voxel-to-point":[55],"network":[56],"framework":[57,105],"called":[58],"V2PNet":[59,104,171],"for":[60],"sampling.":[64],"Specifically,":[65],"first":[67],"design":[68],"lightweight":[70],"coarse-grained":[71],"module":[73,80,110],"named":[74],"Important":[75],"Voxel":[76],"Prediction":[77],"(IMVP).":[78],"This":[79,124],"adaptively":[81],"outputs":[82],"points":[83,137],"significant":[85,139],"regions":[86,140],"by":[91],"explicitly":[92],"modeling":[93],"inter-region":[94],"relationships,":[95],"thereby":[96],"reducing":[97],"interference":[98],"redundant":[100],"points.":[101],"Then,":[102],"seamlessly":[106],"integrates":[107],"IMVP":[109],"with":[111,121],"existing":[112,176],"networks,":[117],"enabling":[118],"joint":[119],"training":[120],"downstream":[122],"tasks.":[123],"creates":[125],"coarse-to-fine-grained":[128],"pipeline":[130],"that":[131,170],"effectively":[132],"samples":[133],"representative":[134],"informative":[136],"represent":[142],"original":[144],"cloud.":[146],"Moreover,":[147],"mitigate":[149],"disturbances":[150],"across":[151],"similar":[152],"regions,":[153],"introduce":[155],"voxel":[157,165],"simplification":[158],"loss":[159],"function":[160],"enhance":[162],"discriminative":[164],"prediction.":[166],"Extensive":[167],"experiments":[168],"demonstrate":[169],"improves":[172],"performance":[174],"models.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
