iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.48550/ARXIV.2401.01552
{"id":"https://openalex.org/W4390601319","doi":"https://doi.org/10.48550/arxiv.2401.01552","title":"CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers","display_name":"CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390601319","doi":"https://doi.org/10.48550/arxiv.2401.01552"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2401.01552","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2401.01552","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101967703","display_name":"Yi Rong","orcid":"https://orcid.org/0000-0003-4867-6811"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Rong","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069159378","display_name":"Haoran Zhou","orcid":"https://orcid.org/0000-0002-3530-0500"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Zhou","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075846473","display_name":"Lixin Yuan","orcid":"https://orcid.org/0000-0002-3390-4116"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Yuan","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100932262","display_name":"Mei Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Mei","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108891681","display_name":"Jiahao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Wang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083605614","display_name":"Tong Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Lu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":86},"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":"Analysis of Three-Dimensional Shape Structures","score":0.999,"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":"Analysis of Three-Dimensional Shape Structures","score":0.999,"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/T11211","display_name":"3D Geospatial Modelling Techniques","score":0.9986,"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/T10638","display_name":"Digital Image Correlation Techniques","score":0.9983,"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-clouds","display_name":"Point Clouds","score":0.545119},{"id":"https://openalex.org/keywords/point-set-surfaces","display_name":"Point Set Surfaces","score":0.52069},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.48704627},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4833274}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7733402},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6987518},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6551697},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.48704627},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4833274},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.45631135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4192411},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4136511},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.41005084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3369116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2848652},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.11618358},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08232558},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2401.01552","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.01552","pdf_url":"http://arxiv.org/pdf/2401.01552","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2401.01552","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2401.01552","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":52,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2072723786","https://openalex.org/W2211722331","https://openalex.org/W2342277278","https://openalex.org/W2555618208","https://openalex.org/W2556802233","https://openalex.org/W2557465155","https://openalex.org/W2560609797","https://openalex.org/W2560722161","https://openalex.org/W2606202972","https://openalex.org/W2796426482","https://openalex.org/W2798336850","https://openalex.org/W2886499109","https://openalex.org/W2944579304","https://openalex.org/W2953668091","https://openalex.org/W2960986959","https://openalex.org/W2963083779","https://openalex.org/W2963121255","https://openalex.org/W2963125977","https://openalex.org/W2963158438","https://openalex.org/W2963231572","https://openalex.org/W2963390820","https://openalex.org/W2963648573","https://openalex.org/W2964137676","https://openalex.org/W2968296999","https://openalex.org/W2979750740","https://openalex.org/W2990613095","https://openalex.org/W2997088169","https://openalex.org/W3025708905","https://openalex.org/W3034493208","https://openalex.org/W3034584726","https://openalex.org/W3035014292","https://openalex.org/W3109518641","https://openalex.org/W3124420883","https://openalex.org/W3153465022","https://openalex.org/W3184736166","https://openalex.org/W3191573718","https://openalex.org/W3192240783","https://openalex.org/W4226368343","https://openalex.org/W4287023049","https://openalex.org/W4287556845","https://openalex.org/W4295312788","https://openalex.org/W4312616477","https://openalex.org/W4312663892","https://openalex.org/W4312704718","https://openalex.org/W4312848711","https://openalex.org/W4313183789","https://openalex.org/W4385245566","https://openalex.org/W4386072236","https://openalex.org/W4386075817","https://openalex.org/W4386083014","https://openalex.org/W4394671432"],"related_works":["https://openalex.org/W4391766414","https://openalex.org/W4296995023","https://openalex.org/W4241811109","https://openalex.org/W4212954839","https://openalex.org/W3169440385","https://openalex.org/W3118545013","https://openalex.org/W2412281349","https://openalex.org/W2133155333","https://openalex.org/W2070173637","https://openalex.org/W1516116847"],"abstract_inverted_index":{"Point":[0],"cloud":[1,35],"completion":[2,36],"is":[3,97],"an":[4],"indispensable":[5],"task":[6],"for":[7,99,154],"recovering":[8],"complete":[9,168],"point":[10,34,155],"clouds":[11],"due":[12],"to":[13,165],"incompleteness":[14],"caused":[15],"by":[16,140,183],"occlusion,":[17],"limited":[18],"sensor":[19],"resolution,":[20],"etc.":[21],"The":[22],"family":[23],"of":[24,47,79,90,112,118,147],"coarse-to-fine":[25,160],"generation":[26],"architectures":[27],"has":[28,124],"recently":[29],"exhibited":[30],"great":[31],"success":[32],"in":[33],"and":[37,121,157],"gradually":[38],"became":[39],"mainstream.":[40],"In":[41],"this":[42],"work,":[43],"we":[44,162],"unveil":[45],"one":[46,120,151],"the":[48,77,83,116,159],"key":[49],"ingredients":[50],"behind":[51],"these":[52],"methods:":[53],"meticulously":[54],"devised":[55],"feature":[56],"extraction":[57],"operations":[58],"with":[59,72,170],"explicit":[60],"cross-resolution":[61,70,114,138],"aggregation.":[62],"We":[63,143],"present":[64],"Cross-Resolution":[65,131,148],"Transformer":[66,132],"that":[67,177],"efficiently":[68],"performs":[69],"aggregation":[71,94,139],"local":[73],"attention":[74],"mechanisms.":[75],"With":[76,128],"help":[78],"our":[80,178],"recursive":[81],"designs,":[82,130],"proposed":[84],"operation":[85],"can":[86,133],"capture":[87],"more":[88],"scales":[89],"features":[91],"than":[92],"common":[93],"operations,":[95],"which":[96],"beneficial":[98],"capturing":[100],"fine":[101],"geometric":[102],"characteristics.":[103],"While":[104],"prior":[105],"methodologies":[106],"have":[107],"ventured":[108],"into":[109,150],"various":[110],"manifestations":[111],"inter-level":[113,137],"aggregation,":[115],"effectiveness":[117],"intra-level":[119],"their":[122],"combination":[123],"not":[125],"been":[126],"analyzed.":[127],"unified":[129],"perform":[134],"intra-":[135],"or":[136],"switching":[141],"inputs.":[142],"integrate":[144],"two":[145],"forms":[146],"Transformers":[149],"up-sampling":[152,172],"block":[153],"generation,":[156],"following":[158],"manner,":[161],"construct":[163],"CRA-PCN":[164],"incrementally":[166],"predict":[167],"shapes":[169],"stacked":[171],"blocks.":[173],"Extensive":[174],"experiments":[175],"demonstrate":[176],"method":[179],"outperforms":[180],"state-of-the-art":[181],"methods":[182],"a":[184],"large":[185],"margin":[186],"on":[187],"several":[188],"widely":[189],"used":[190],"benchmarks.":[191],"Codes":[192],"are":[193],"available":[194],"at":[195],"https://github.com/EasyRy/CRA-PCN.":[196]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4390601319","counts_by_year":[],"updated_date":"2024-10-17T13:02:58.298421","created_date":"2024-01-05"}