{"id":"https://openalex.org/W4386083150","doi":"https://doi.org/10.1109/cvpr52729.2023.02088","title":"PointConvFormer: Revenge of the Point-based Convolution","display_name":"PointConvFormer: Revenge of the Point-based Convolution","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386083150","doi":"https://doi.org/10.1109/cvpr52729.2023.02088"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.02088","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2208.02879","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101759487","display_name":"Wenxuan Wu","orcid":"https://orcid.org/0009-0009-4938-7713"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"funder","lineage":["https://openalex.org/I131249849"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Wenxuan Wu","raw_affiliation_strings":["CASIA","Oregon State University"],"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]},{"raw_affiliation_string":"CASIA","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065084526","display_name":"Fuxin Li","orcid":"https://orcid.org/0000-0001-7578-9622"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"funder","lineage":["https://openalex.org/I131249849"]},{"id":"https://openalex.org/I4210141230","display_name":"Apple (Germany)","ror":"https://ror.org/03fjbw519","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210141230","https://openalex.org/I4210153776"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Li Fuxin","raw_affiliation_strings":["Apple, Inc.","Oregon State University"],"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]},{"raw_affiliation_string":"Apple, Inc.","institution_ids":["https://openalex.org/I4210141230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100601468","display_name":"Qi Shan","orcid":"https://orcid.org/0000-0001-8891-519X"},"institutions":[{"id":"https://openalex.org/I4210141230","display_name":"Apple (Germany)","ror":"https://ror.org/03fjbw519","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210141230","https://openalex.org/I4210153776"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Qi Shan","raw_affiliation_strings":["Apple, Inc."],"affiliations":[{"raw_affiliation_string":"Apple, Inc.","institution_ids":["https://openalex.org/I4210141230"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.761,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.999915,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991,"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":0.9991,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9985,"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":0.998,"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/convolution","display_name":"Convolution (computer science)","score":0.7213784},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42929524}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7721225},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7213784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70906496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5014372},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47927853},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4633264},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44853973},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42929524},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41172472},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33460134},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32463008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23022392},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13694438},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09769875},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.02088","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2208.02879","pdf_url":"https://arxiv.org/pdf/2208.02879","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2208.02879","pdf_url":"https://arxiv.org/pdf/2208.02879","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.82,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":95,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1921093919","https://openalex.org/W1993850091","https://openalex.org/W2088692258","https://openalex.org/W2108598243","https://openalex.org/W2150066425","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2259424905","https://openalex.org/W2264432461","https://openalex.org/W2555618208","https://openalex.org/W2557465155","https://openalex.org/W2560609797","https://openalex.org/W2579923771","https://openalex.org/W2594519801","https://openalex.org/W2601564443","https://openalex.org/W2606202972","https://openalex.org/W2609946960","https://openalex.org/W2752502194","https://openalex.org/W2770902190","https://openalex.org/W2788158258","https://openalex.org/W2796422723","https://openalex.org/W2798270772","https://openalex.org/W2798297823","https://openalex.org/W2884585870","https://openalex.org/W2896457183","https://openalex.org/W2897093986","https://openalex.org/W2952809536","https://openalex.org/W2953133772","https://openalex.org/W2953273646","https://openalex.org/W2962771259","https://openalex.org/W2963057320","https://openalex.org/W2963083779","https://openalex.org/W2963091558","https://openalex.org/W2963121255","https://openalex.org/W2963123724","https://openalex.org/W2963125977","https://openalex.org/W2963158438","https://openalex.org/W2963182550","https://openalex.org/W2963231572","https://openalex.org/W2963830382","https://openalex.org/W2963870605","https://openalex.org/W2963925437","https://openalex.org/W2964110616","https://openalex.org/W2964342398","https://openalex.org/W2968296999","https://openalex.org/W2970597249","https://openalex.org/W2971686478","https://openalex.org/W2981609494","https://openalex.org/W2982101047","https://openalex.org/W2982210492","https://openalex.org/W2982319484","https://openalex.org/W2982649931","https://openalex.org/W2983446232","https://openalex.org/W2987322772","https://openalex.org/W2990045899","https://openalex.org/W2990613095","https://openalex.org/W2991216808","https://openalex.org/W2995343971","https://openalex.org/W3012494314","https://openalex.org/W3034239841","https://openalex.org/W3034421924","https://openalex.org/W3034885317","https://openalex.org/W3045034239","https://openalex.org/W3093600664","https://openalex.org/W3094502228","https://openalex.org/W3097139398","https://openalex.org/W3101188641","https://openalex.org/W3106546328","https://openalex.org/W3106932526","https://openalex.org/W3107479685","https://openalex.org/W3109154950","https://openalex.org/W3109269658","https://openalex.org/W3109944402","https://openalex.org/W3110503160","https://openalex.org/W3119816767","https://openalex.org/W3123219117","https://openalex.org/W3139049060","https://openalex.org/W3172717135","https://openalex.org/W3175649884","https://openalex.org/W3177330511","https://openalex.org/W3178825327","https://openalex.org/W3181190968","https://openalex.org/W3181848549","https://openalex.org/W3201544621","https://openalex.org/W3204832889","https://openalex.org/W4206398307","https://openalex.org/W4214755140","https://openalex.org/W4295312788","https://openalex.org/W4298395628","https://openalex.org/W4306175953","https://openalex.org/W4312616477","https://openalex.org/W4313145913","https://openalex.org/W4385245566","https://openalex.org/W4385815536"],"related_works":["https://openalex.org/W3158534694","https://openalex.org/W2979718872","https://openalex.org/W2517104666","https://openalex.org/W2295021132","https://openalex.org/W2134924024","https://openalex.org/W2110230079","https://openalex.org/W2023558673","https://openalex.org/W2008656436","https://openalex.org/W2005437358","https://openalex.org/W1669643531"],"abstract_inverted_index":{"We":[0,102],"introduce":[1],"PointConvFormer,":[2,40],"a":[3,122],"novel":[4],"building":[5],"block":[6],"for":[7,79,84],"point":[8,22,67,92],"cloud":[9],"based":[10,29],"deep":[11],"network":[12],"architectures.":[13],"Inspired":[14],"by":[15],"generalization":[16],"theory,":[17],"PointConvFormer":[18,81,120,139],"combines":[19],"ideas":[20],"from":[21,43,66],"convolution,":[23,68],"where":[24],"filter":[25],"weights":[26,57],"are":[27],"only":[28],"on":[30,104,144,154],"relative":[31],"position,":[32],"and":[33,97,114,131],"Transformers":[34],"which":[35],"utilize":[36],"feature-based":[37],"attention.":[38],"In":[39],"attention":[41,70],"computed":[42],"feature":[44],"difference":[45],"between":[46],"points":[47,75],"in":[48,76],"the":[49,55,64,77,91,148,162],"neighborhood":[50,78,149],"is":[51,82,152],"used":[52],"to":[53,72,142],"modify":[54],"convolutional":[56],"at":[58,90],"each":[59],"point.":[60],"Hence,":[61],"we":[62],"preserved":[63],"invariances":[65],"whereas":[69,147],"helps":[71],"select":[73],"relevant":[74],"convolution.":[80],"suitable":[83],"multiple":[85,108],"tasks":[86,106],"that":[87,119,138,158],"require":[88],"details":[89],"level,":[93],"such":[94],"as":[95],"segmentation":[96],"scene":[98],"flow":[99],"estimation":[100],"tasks.":[101],"experiment":[103],"both":[105,165],"with":[107],"datasets":[109],"including":[110],"ScanNet,":[111],"SemanticKitti,":[112],"FlyingThings3D":[113],"KITTI.":[115],"Our":[116],"results":[117],"show":[118,137],"offers":[121],"better":[123],"accuracy-speed":[124],"tradeoff":[125],"than":[126],"classic":[127],"convolutions,":[128],"regular":[129],"transformers,":[130],"voxelized":[132],"sparse":[133],"convolution":[134,143],"approaches.":[135],"Visualizations":[136],"performs":[140],"similarly":[141],"flat":[145],"areas,":[146],"selection":[150],"effect":[151],"stronger":[153],"object":[155],"boundaries,":[156],"showing":[157],"it":[159],"has":[160],"got":[161],"best":[163],"of":[164],"worlds.":[166],"The":[167],"code":[168],"will":[169],"be":[170],"available.":[171]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4386083150","counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":7}],"updated_date":"2025-04-17T12:42:54.595070","created_date":"2023-08-23"}