乐胖代购免代理版

{"id":"https://openalex.org/W4392151661","doi":"https://doi.org/10.1109/access.2024.3370844","title":"Object-Aware Semantic Scene Completion Through Attention-Based Feature Fusion and Voxel-Points Representation","display_name":"Object-Aware Semantic Scene Completion Through Attention-Based Feature Fusion and Voxel-Points Representation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392151661","doi":"https://doi.org/10.1109/access.2024.3370844"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3370844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10445476.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10445476.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101145928","display_name":"Yubin Miao","orcid":"https://orcid.org/0000-0002-5124-2929"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Miao","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064684441","display_name":"Junkang Wan","orcid":"https://orcid.org/0009-0005-4247-9990"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junkang Wan","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007444223","display_name":"Junjie Luo","orcid":"https://orcid.org/0000-0003-0667-6581"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Luo","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637735","display_name":"Hang Wu","orcid":"https://orcid.org/0000-0002-6000-8026"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Wu","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007105298","display_name":"Ruochong Fu","orcid":"https://orcid.org/0000-0002-5116-0413"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruochong Fu","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"fulltext_origin":"pdf","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":77},"biblio":{"volume":"12","issue":null,"first_page":"31431","last_page":"31442"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997,"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":0.9996,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.999,"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/rgb-color-model","display_name":"RGB color model","score":0.5098159}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7747344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7026297},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.62438834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.59411967},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.51505136},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5098159},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39433742}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3370844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10445476.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3370844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10445476.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.47}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"51975361"}],"datasets":[],"versions":[],"referenced_works_count":42,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1923184257","https://openalex.org/W2194775991","https://openalex.org/W2444097022","https://openalex.org/W2557465155","https://openalex.org/W2560609797","https://openalex.org/W2787091153","https://openalex.org/W2962774226","https://openalex.org/W2963121255","https://openalex.org/W2963307292","https://openalex.org/W2963766190","https://openalex.org/W2964160369","https://openalex.org/W2981604966","https://openalex.org/W2985561844","https://openalex.org/W2988715931","https://openalex.org/W2997874850","https://openalex.org/W3006535168","https://openalex.org/W3009205130","https://openalex.org/W3011329751","https://openalex.org/W3034626012","https://openalex.org/W3034868495","https://openalex.org/W3035308182","https://openalex.org/W3089939852","https://openalex.org/W3096754345","https://openalex.org/W3160026466","https://openalex.org/W3171102639","https://openalex.org/W3174692508","https://openalex.org/W3174926460","https://openalex.org/W3179909833","https://openalex.org/W3188189327","https://openalex.org/W3194841206","https://openalex.org/W3215584334","https://openalex.org/W4226420988","https://openalex.org/W4289752563","https://openalex.org/W4312536997","https://openalex.org/W4313534977","https://openalex.org/W4322717261","https://openalex.org/W4382240176","https://openalex.org/W4386057750","https://openalex.org/W4386066358","https://openalex.org/W4386075718","https://openalex.org/W4386597016"],"related_works":["https://openalex.org/W4399442168","https://openalex.org/W4389574804","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W2626737336","https://openalex.org/W2114282491","https://openalex.org/W2005998065","https://openalex.org/W1578717197"],"abstract_inverted_index":{"Semantic":[0,81],"scene":[1,23,88,100,176],"completion":[2,89,94,102,177],"is":[3,17],"a":[4,20,85],"computer":[5],"vision":[6],"technique":[7],"that":[8,91,164],"combines":[9,92],"semantic":[10,25,87,114,148,175],"segmentation":[11],"and":[12,95,139,155],"shape":[13],"completion.":[14],"Its":[15],"purpose":[16],"to":[18,47,122],"infer":[19],"complete":[21],"3D":[22,54,173],"with":[24,53],"information":[26,115],"from":[27,152],"single-view":[28],"RGB-D":[29,158],"images.":[30],"In":[31,74,98],"recent":[32],"years,":[33],"some":[34],"methods":[35,60],"have":[36,183],"adopted":[37],"the":[38,49,65,69,72,99,106,117,124,131,135,140,146,172,180],"voxel-points-based":[39],"approach,":[40],"converting":[41],"voxelized":[42],"scenes":[43],"into":[44,116],"point":[45],"clouds":[46],"reduce":[48],"computational":[50,169],"cost":[51],"associated":[52],"convolutions.":[55],"However,":[56],"majority":[57],"of":[58,68,127,130,157],"such":[59],"do":[61],"not":[62],"fully":[63],"consider":[64],"geometric":[66,185],"details":[67],"objects":[70],"in":[71],"scene.":[73],"this":[75],"paper,":[76],"we":[77,104],"propose":[78],"ASPNet":[79,144,165],"(Attention-based":[80],"Point":[82,109,119],"Completion":[83],"Network),":[84],"two-branch":[86],"algorithm":[90],"scene-level":[93],"object":[96,136,141],"refinement.":[97],"level":[101],"branch,":[103],"design":[105],"SPT":[107],"(Semantic-based":[108],"Transformer)":[110],"module,":[111,143],"which":[112],"introduces":[113],"traditional":[118],"Transformer":[120],"layer":[121],"realize":[123],"feature":[125],"aggregation":[126],"neighboring":[128],"keypoints":[129],"same":[132],"category.":[133],"Using":[134],"detection":[137],"module":[138],"refinement":[142],"refines":[145],"rough":[147],"complementation":[149],"results":[150,162,182],"obtained":[151],"direct":[153],"coding":[154],"decoding":[156],"inputs.":[159],"The":[160],"quantitative":[161],"show":[163],"has":[166],"much":[167],"less":[168],"overhead":[170],"than":[171],"convolution-based":[174],"algorithm,":[178],"while":[179],"reconstruction":[181],"more":[184],"details.":[186]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4392151661","counts_by_year":[],"updated_date":"2025-04-15T20:06:31.247094","created_date":"2024-02-27"}