{"id":"https://openalex.org/W4401990614","doi":"https://doi.org/10.1109/icmew63481.2024.10645426","title":"I3FNET: Instance-Aware Feature Fusion for Few-Shot Point Cloud Generation from Single Image","display_name":"I3FNET: Instance-Aware Feature Fusion for Few-Shot Point Cloud Generation from Single Image","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4401990614","doi":"https://doi.org/10.1109/icmew63481.2024.10645426"},"language":"en","primary_location":{"id":"doi:10.1109/icmew63481.2024.10645426","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmew63481.2024.10645426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","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/A5103098766","display_name":"P.C. Ching","orcid":"https://orcid.org/0009-0007-5339-4700"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pu Ching","raw_affiliation_strings":["National Tsing Hua University,Dept. of Computer Science,Hsinchu,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,Dept. of Computer Science,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101536450","display_name":"Wen\u2010Cheng Chen","orcid":"https://orcid.org/0000-0002-5581-9991"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Cheng Chen","raw_affiliation_strings":["National Cheng Kung University,Dept. of Computer Science,Tainan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Dept. of Computer Science,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029298215","display_name":"Min\u2010Chun Hu","orcid":"https://orcid.org/0000-0003-1917-2155"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Chun Hu","raw_affiliation_strings":["National Tsing Hua University,Dept. of Computer Science,Hsinchu,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,Dept. of Computer Science,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1179477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9968000054359436,"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":0.9894999861717224,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9847999811172485,"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/computer-science","display_name":"Computer science","score":0.672945499420166},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5947645902633667},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5725995302200317},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5479063391685486},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.4768618047237396},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4621347486972809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4039939045906067},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3762231171131134},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0849793553352356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.672945499420166},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5947645902633667},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5725995302200317},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5479063391685486},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.4768618047237396},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4621347486972809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4039939045906067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3762231171131134},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0849793553352356},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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:10.1109/icmew63481.2024.10645426","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmew63481.2024.10645426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2560722161","https://openalex.org/W2949671016","https://openalex.org/W2962931817","https://openalex.org/W2962988048","https://openalex.org/W2963121255","https://openalex.org/W2983582925","https://openalex.org/W3035499195","https://openalex.org/W3109757309","https://openalex.org/W3141954417","https://openalex.org/W3173376954","https://openalex.org/W3206313309","https://openalex.org/W3216057396","https://openalex.org/W4226125322","https://openalex.org/W4306310244","https://openalex.org/W4312045746","https://openalex.org/W6739778489","https://openalex.org/W6748208425","https://openalex.org/W6789902789"],"related_works":["https://openalex.org/W3142396426","https://openalex.org/W2471333042","https://openalex.org/W4396643691","https://openalex.org/W4282934273","https://openalex.org/W2955491601","https://openalex.org/W146529714","https://openalex.org/W2316500695","https://openalex.org/W2017914143","https://openalex.org/W146242624","https://openalex.org/W4396781972"],"abstract_inverted_index":{"Point":[0,135],"cloud":[1],"is":[2],"a":[3,23,33,132],"common":[4,10],"representation":[5],"of":[6,91],"3D":[7,39,68,80],"structures.":[8],"Beyond":[9],"applications,":[11],"such":[12,97],"as":[13,98,144],"autonomous":[14],"driving,":[15],"robotic":[16],"navigation,":[17],"etc.,":[18],"synthesizing":[19],"point":[20,48],"clouds":[21,49],"with":[22,116],"given":[24],"single":[25],"image":[26],"has":[27],"shown":[28],"the":[29,52,56,67,84,88,92,122,126,151,161,166],"potential":[30],"to":[31,64,78,82,120,149],"provide":[32],"simple":[34],"but":[35],"efficient":[36],"solution":[37],"in":[38,66,125],"modeling.":[40],"However,":[41],"most":[42],"deep":[43],"learning":[44],"models":[45],"for":[46],"generating":[47],"suffer":[50],"from":[51],"domain":[53,85],"gap":[54],"between":[55],"training":[57,147],"and":[58,100,138,168],"testing":[59],"set,":[60],"making":[61],"it":[62],"impractical":[63],"apply":[65],"content":[69],"creation":[70],"scenario.":[71,128],"Few":[72],"shot-based":[73],"methods":[74],"have":[75],"been":[76],"proposed":[77],"utilize":[79],"proto-types":[81],"bridge":[83],"gap.":[86],"Despite":[87],"promising":[89],"results":[90,155],"state-of-the-art":[93,163],"approach,":[94],"some":[95],"issues,":[96],"mode-collapse":[99],"local":[101],"sparseness,":[102],"still":[103],"remain":[104],"unsolved.":[105],"In":[106],"this":[107],"work,":[108],"we":[109,130],"propose":[110],"an":[111,117,145],"Instance-aware":[112],"Feature":[113],"Fusion":[114],"module":[115],"attention":[118],"mechanism":[119],"improve":[121],"reconstruction":[123],"quality":[124],"few-shot":[127],"Furthermore,":[129],"introduce":[131],"two-stage":[133],"Hierarchical":[134],"Cloud":[136],"Generator":[137],"use":[139],"Sliced":[140],"Wasserstein":[141],"Distance":[142],"(SWD)":[143],"extra":[146],"objective":[148],"solve":[150],"local-sparsity":[152],"problem.":[153],"Experimental":[154],"show":[156],"that":[157],"our":[158],"method":[159,164],"outperforms":[160],"existing":[162],"on":[165],"ModelNet":[167],"ShapeNet":[169],"datasets.":[170]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}