{"id":"https://openalex.org/W4205497489","doi":"https://doi.org/10.1145/3501409.3501527","title":"Feature Fusion based Re-voting for 3D Object Detection","display_name":"Feature Fusion based Re-voting for 3D Object Detection","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4205497489","doi":"https://doi.org/10.1145/3501409.3501527"},"language":"en","primary_location":{"id":"doi:10.1145/3501409.3501527","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501527","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100432192","display_name":"Hang Yu","orcid":"https://orcid.org/0009-0000-4624-1123"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Yu","raw_affiliation_strings":["College of Computer Engineering/Jimei University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Engineering/Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668996","display_name":"Jun Wei","orcid":"https://orcid.org/0000-0002-3757-5954"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wei","raw_affiliation_strings":["College of Computer Engineering/Jimei University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Engineering/Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049203004","display_name":"Jinhe Su","orcid":"https://orcid.org/0000-0003-1707-5685"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhe Su","raw_affiliation_strings":["College of Computer Engineering/Jimei University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Engineering/Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027237622","display_name":"Niansheng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Niansheng Liu","raw_affiliation_strings":["College of Computer Engineering/Jimei University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Engineering/Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161346416"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"652","last_page":"658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9980999827384949,"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":0.9980000257492065,"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":0.8086962699890137},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.7344393730163574},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6377074718475342},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6195690631866455},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6126940250396729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5946195125579834},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5535925030708313},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49633556604385376},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45977911353111267},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.42572951316833496},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41635626554489136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37520039081573486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08774390816688538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086962699890137},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.7344393730163574},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6377074718475342},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6195690631866455},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6126940250396729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5946195125579834},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5535925030708313},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49633556604385376},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45977911353111267},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.42572951316833496},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41635626554489136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37520039081573486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08774390816688538},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3501409.3501527","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501527","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W116751493","https://openalex.org/W1953319329","https://openalex.org/W2106255337","https://openalex.org/W2152571752","https://openalex.org/W2163605009","https://openalex.org/W2164877691","https://openalex.org/W2229637417","https://openalex.org/W2463032559","https://openalex.org/W2559655401","https://openalex.org/W2560609797","https://openalex.org/W2594519801","https://openalex.org/W2604272474","https://openalex.org/W2612690371","https://openalex.org/W2613718673","https://openalex.org/W2624503621","https://openalex.org/W2888144883","https://openalex.org/W2904332125","https://openalex.org/W2922266320","https://openalex.org/W2962759414","https://openalex.org/W2963037989","https://openalex.org/W2964062501","https://openalex.org/W3034314779","https://openalex.org/W3034428269","https://openalex.org/W3096754345","https://openalex.org/W4212774754","https://openalex.org/W4236965008","https://openalex.org/W4301409532","https://openalex.org/W6747390043","https://openalex.org/W6757204575"],"related_works":["https://openalex.org/W2022544890","https://openalex.org/W2394097730","https://openalex.org/W2475378634","https://openalex.org/W4312353617","https://openalex.org/W2113405914","https://openalex.org/W2260963831","https://openalex.org/W4235249401","https://openalex.org/W2331305369","https://openalex.org/W2043523297","https://openalex.org/W2015200445"],"abstract_inverted_index":{"3D":[0,20,72],"object":[1,73,137],"detection":[2,74],"based":[3,27,79],"on":[4,147],"point":[5],"cloud":[6,63],"is":[7,13],"a":[8,70,86],"challenging":[9,149],"visual":[10,21],"task,":[11],"which":[12],"helpful":[14],"to":[15,89,104,131],"the":[16,36,55,61,90,96,106,111,119,125,148],"realization":[17],"of":[18,60,98,108,121,124],"various":[19],"applications.":[22],"A":[23],"few":[24],"recent":[25],"works":[26],"votenet":[28,40,154],"recognize":[29],"objects":[30],"by":[31,156],"using":[32],"hough":[33],"voting.":[34],"However,":[35],"voting":[37,92,102],"strategy":[38],"in":[39,110],"can":[41],"only":[42],"obtain":[43],"some":[44],"sampling":[45],"points":[46,100,103],"from":[47],"incomplete":[48],"surfaces":[49],"and":[50,57,94,101,135,139],"chaotic":[51],"backgrounds,":[52],"without":[53],"considering":[54],"features":[56],"position":[58],"relation":[59],"original":[62,126],"points.":[64],"In":[65],"this":[66],"work,":[67],"we":[68],"introduce":[69],"new":[71],"method":[75,84],"called":[76],"feature":[77,97,115],"fusion":[78,116],"revoting":[80],"network":[81],"(FFRNet).":[82],"Our":[83],"adds":[85],"supervision":[87],"mechanism":[88,93],"simple":[91],"fuses":[95],"seed":[99],"increase":[105],"richness":[107],"information":[109,123],"re-voting":[112],"module.":[113],"The":[114],"operation":[117],"enhances":[118],"acquisition":[120],"effective":[122],"surface":[127],"points,":[128],"So":[129],"as":[130],"achieve":[132],"more":[133],"reliable":[134],"flexible":[136],"positioning":[138],"category":[140],"prediction":[141],"results.":[142],"We":[143],"validate":[144],"our":[145],"model":[146],"ScanNet":[150],"V2":[151],"dataset,":[152],"advancing":[153],"results":[155],"3.6":[157],"[email":[158],"protected]":[159]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}