{"id":"https://openalex.org/W4416252143","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229090","title":"NeRF-DetS: Enhanced Adaptive Spatial-wise Sampling and View-wise Fusion Strategies for NeRF-based Indoor Multi-view 3D Object Detection","display_name":"NeRF-DetS: Enhanced Adaptive Spatial-wise Sampling and View-wise Fusion Strategies for NeRF-based Indoor Multi-view 3D Object Detection","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416252143","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229090"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5025153862","display_name":"Chi Huang","orcid":"https://orcid.org/0000-0001-8927-4072"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Huang","raw_affiliation_strings":["Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602137","display_name":"Xinyang Li","orcid":"https://orcid.org/0000-0002-2932-8953"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyang Li","raw_affiliation_strings":["Baidu Inc","Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102898975","display_name":"Yansong Qu","orcid":"https://orcid.org/0009-0003-4325-6858"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansong Qu","raw_affiliation_strings":["Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019828141","display_name":"Changli Wu","orcid":"https://orcid.org/0009-0007-7215-7866"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changli Wu","raw_affiliation_strings":["Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111306667","display_name":"Xiaofan Li","orcid":"https://orcid.org/0009-0001-7931-4285"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan Li","raw_affiliation_strings":["Baidu Inc","Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063026481","display_name":"Shengchuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengchuan Zhang","raw_affiliation_strings":["Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014628588","display_name":"Liujuan Cao","orcid":"https://orcid.org/0000-0002-7645-9606"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liujuan Cao","raw_affiliation_strings":["Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8909000158309937,"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":0.8909000158309937,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.030799999833106995,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.01720000058412552,"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/fuse","display_name":"Fuse (electrical)","score":0.6721000075340271},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6571000218391418},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6067000031471252},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5723999738693237},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5458999872207642},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5450000166893005},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5371000170707703},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.5285999774932861},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5059999823570251}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7522000074386597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415000200271606},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6721000075340271},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6571000218391418},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.646399974822998},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6067000031471252},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5723999738693237},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5458999872207642},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5450000166893005},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5371000170707703},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.5285999774932861},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5059999823570251},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.3935999870300293},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3871999979019165},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3813999891281128},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C23903533","wikidata":"https://www.wikidata.org/wiki/Q17122739","display_name":"Reprojection error","level":3,"score":0.3472999930381775},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2922999858856201},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2563999891281128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2594519801","https://openalex.org/W2769312834","https://openalex.org/W2904332125","https://openalex.org/W2963150697","https://openalex.org/W2963727135","https://openalex.org/W2979912832","https://openalex.org/W3096609285","https://openalex.org/W3171032126","https://openalex.org/W3176368002","https://openalex.org/W3186630079","https://openalex.org/W3203570626","https://openalex.org/W3204859697","https://openalex.org/W3215100485","https://openalex.org/W3215207332","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4312325284","https://openalex.org/W4312894406","https://openalex.org/W4313130451","https://openalex.org/W4383066393","https://openalex.org/W4385318467","https://openalex.org/W4386066358","https://openalex.org/W4386075506","https://openalex.org/W4386083035","https://openalex.org/W4390871877","https://openalex.org/W4390872943","https://openalex.org/W4390873153","https://openalex.org/W4403791740","https://openalex.org/W4409560874"],"related_works":[],"abstract_inverted_index":{"In":[0,70],"indoor":[1,40],"scenes,":[2],"the":[3,12,30,34,56,127],"diverse":[4],"distribution":[5],"of":[6,45,58,62,115],"object":[7],"locations":[8],"and":[9,65,101,161,168],"scales":[10],"makes":[11],"visual":[13,35],"3D":[14,36,121],"perception":[15,37],"task":[16,38],"a":[17,82,119],"big":[18],"challenge.":[19],"Previous":[20],"works":[21,52],"(e.g.,":[22,78],"NeRF-Det)":[23],"have":[24],"demonstrated":[25],"that":[26],"implicit":[27,59],"representation":[28,60],"has":[29],"capacity":[31],"to":[32,88],"benefit":[33],"in":[39,164],"scenes":[41],"with":[42,139],"high":[43],"amount":[44],"overlap":[46],"between":[47],"input":[48],"images.":[49],"However,":[50],"previous":[51,128],"cannot":[53],"fully":[54],"utilize":[55],"advancement":[57],"because":[61],"fixed":[63],"sampling":[64],"simple":[66,83],"multi-view":[67,137],"feature":[68],"fusion.":[69],"this":[71],"paper,":[72],"inspired":[73],"by":[74,126,158],"sparse":[75],"fashion":[76],"method":[77],"DETR3D),":[79],"we":[80],"propose":[81],"yet":[84],"effective":[85],"method,":[86],"NeRF-DetS,":[87],"address":[89],"above":[90],"issues.":[91],"NeRF-DetS":[92,155,172],"includes":[93],"two":[94],"modules:":[95],"Progressive":[96],"Adaptive":[97],"Sampling":[98],"Strategy":[99],"(PASS)":[100],"Depth-Guided":[102],"Simplified":[103],"Multi-Head":[104],"Attention":[105],"Fusion":[106],"(DS-MHA).":[107],"Specifically,":[108],"(1)":[109],"PASS":[110],"can":[111,132],"automatically":[112],"sample":[113],"features":[114,138],"each":[116],"layer":[117],"within":[118],"dense":[120],"detector,":[122],"using":[123],"offsets":[124],"predicted":[125],"layer.":[129],"(2)":[130],"DS-MHA":[131],"not":[133],"only":[134],"efficiently":[135],"fuse":[136],"strong":[140],"occlusion":[141],"awareness":[142],"but":[143],"also":[144],"reduce":[145],"computational":[146],"cost.":[147],"Extensive":[148],"experiments":[149],"on":[150,176],"ScanNetV2":[151],"dataset":[152],"demonstrate":[153],"our":[154],"outperforms":[156],"NeRF-Det,":[157],"achieving":[159],"+5.02%":[160],"+5.92%":[162],"improvement":[163],"mAP":[165],"under":[166],"IoU25":[167],"IoU50,":[169],"respectively.":[170],"Also,":[171],"shows":[173],"consistent":[174],"improvements":[175],"ARKITScenes.":[177]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}
