{"id":"https://openalex.org/W4387968588","doi":"https://doi.org/10.1145/3581783.3613807","title":"SSPU-Net: A Structure Sensitive Point Cloud Upsampling Network with Multi-Scale Spatial Refinement","display_name":"SSPU-Net: A Structure Sensitive Point Cloud Upsampling Network with Multi-Scale Spatial Refinement","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968588","doi":"https://doi.org/10.1145/3581783.3613807"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3613807","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3613807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5100694383","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0001-5437-3150"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Wang","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062450811","display_name":"Jiade Chen","orcid":"https://orcid.org/0009-0006-0703-3632"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiade Chen","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347721","display_name":"Yunhui Shi","orcid":"https://orcid.org/0000-0002-8480-0536"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhui Shi","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018686979","display_name":"Nam Ling","orcid":"https://orcid.org/0000-0002-5741-7937"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nam Ling","raw_affiliation_strings":["Santa Clara University, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Santa Clara University, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100694383"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.419,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57165569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1546","last_page":"1555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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 Surveying and Cultural Heritage","score":0.9929999709129333,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/upsampling","display_name":"Upsampling","score":0.8260436654090881},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8025236129760742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.768558144569397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.579382061958313},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.550005316734314},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.47119614481925964},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45923101902008057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3988581895828247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13232728838920593},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10157862305641174}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8260436654090881},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8025236129760742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.768558144569397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.579382061958313},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.550005316734314},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.47119614481925964},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45923101902008057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3988581895828247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13232728838920593},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10157862305641174},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3613807","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3613807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3309074268","display_name":null,"funder_award_id":"2010005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3654585634","display_name":null,"funder_award_id":"62272016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G440898798","display_name":null,"funder_award_id":"61976011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4923111494","display_name":null,"funder_award_id":"2021ZD0111902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5760752404","display_name":null,"funder_award_id":"Projects","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6805594977","display_name":null,"funder_award_id":"202010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8513333314","display_name":null,"funder_award_id":"2021ZD01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8607629614","display_name":null,"funder_award_id":"6227201","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/F4320321913","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87"},{"id":"https://openalex.org/F4320324051","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1698699930","https://openalex.org/W2025973801","https://openalex.org/W2081194966","https://openalex.org/W2119693472","https://openalex.org/W2121535648","https://openalex.org/W2137531922","https://openalex.org/W2169611956","https://openalex.org/W2194775991","https://openalex.org/W2555618208","https://openalex.org/W2560722161","https://openalex.org/W2591997370","https://openalex.org/W2796426482","https://openalex.org/W2884154111","https://openalex.org/W2907101105","https://openalex.org/W2963390820","https://openalex.org/W2963680153","https://openalex.org/W2970633157","https://openalex.org/W2979750740","https://openalex.org/W2981440248","https://openalex.org/W2990045899","https://openalex.org/W2997337685","https://openalex.org/W3037306954","https://openalex.org/W3045749263","https://openalex.org/W3094897602","https://openalex.org/W3099141203","https://openalex.org/W3106699132","https://openalex.org/W3109585842","https://openalex.org/W3175676582","https://openalex.org/W3184736166","https://openalex.org/W3203197903","https://openalex.org/W4226230003","https://openalex.org/W4226237684","https://openalex.org/W4287078097","https://openalex.org/W4304013696","https://openalex.org/W4310596280","https://openalex.org/W4312597904","https://openalex.org/W4323057578","https://openalex.org/W4323057734"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W3176213335","https://openalex.org/W4282934273","https://openalex.org/W4386159726"],"abstract_inverted_index":{"Point":[0],"cloud":[1,45,188],"upsampling":[2,46,189],"aims":[3,125],"to":[4,23,101,126,147],"generate":[5],"a":[6,13,39,86,103,155],"dense":[7],"and":[8,15,29,52,65,80,85,113,141,167,172,178],"uniform":[9],"point":[10,17,44,109,133,187],"set":[11],"from":[12],"sparse":[14],"irregular":[16],"set.":[18],"The":[19],"core":[20],"challenge":[21],"is":[22,160],"accurately":[24],"restore":[25],"the":[26,34,57,68,74,96,117,120,128,131,137,142,149,152],"geometric":[27,139],"structure":[28,87,121],"local":[30,105,144],"details.":[31,145],"To":[32,72],"overcome":[33],"challenge,":[35],"this":[36],"paper":[37],"presents":[38],"novel":[40],"frequency-aware":[41],"attention":[42,54],"based":[43,55],"approach,":[47],"which":[48,162],"combines":[49],"graph":[50],"filtering":[51],"channel":[53],"on":[56,175],"detection":[58],"of":[59,107,130,151],"high":[60],"spatial-frequency":[61],"components":[62],"like":[63],"edges":[64],"contours":[66],"in":[67],"human":[69],"visual":[70],"system.":[71],"aggregate":[73],"features":[75,134],"more":[76],"efficiently,":[77],"an":[78],"intra-feature":[79],"inter-feature":[81],"(I2-feature)":[82],"aggregation":[83,98],"block":[84,90,99,124],"sensitive":[88,122],"transformer":[89,123],"are":[91],"introduced.":[92],"On":[93,116],"one":[94],"hand,":[95,119],"I2-feature":[97],"serves":[100],"create":[102],"complete":[104],"representation":[106],"each":[108],"by":[110,135],"aggregating":[111],"intra":[112],"inter":[114],"features.":[115],"other":[118],"enhance":[127],"quality":[129,150],"expanded":[132],"capturing":[136],"global":[138],"structures":[140],"fine":[143],"Furthermore,":[146],"improve":[148],"coarse":[153],"output,":[154],"multi-scale":[156,168],"spatial":[157],"refinement":[158],"unit":[159],"applied,":[161],"leverages":[163],"attentional":[164],"feature":[165],"fusion":[166],"attention.":[169],"Extensive":[170],"qualitative":[171],"quantitative":[173],"results":[174],"both":[176],"synthetic":[177],"real-scanned":[179],"datasets":[180],"validate":[181],"our":[182],"proposed":[183],"scheme":[184],"outperforms":[185],"state-of-the-art":[186],"methods.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
