{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:22:36Z","timestamp":1763191356253,"version":"3.45.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100014219","name":"National Science Fund for Distinguished Young Scholars","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100014219","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11229090","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["NeRF-DetS: Enhanced Adaptive Spatial-wise Sampling and View-wise Fusion Strategies for NeRF-based Indoor Multi-view 3D Object Detection"],"prefix":"10.1109","author":[{"given":"Chi","family":"Huang","sequence":"first","affiliation":[{"name":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyang","family":"Li","sequence":"additional","affiliation":[{"name":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yansong","family":"Qu","sequence":"additional","affiliation":[{"name":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changli","family":"Wu","sequence":"additional","affiliation":[{"name":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofan","family":"Li","sequence":"additional","affiliation":[{"name":"Baidu Inc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengchuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liujuan","family":"Cao","sequence":"additional","affiliation":[{"name":"Ministry of Education of China, Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,P.R. China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref2","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3D classification and segmentation","volume-title":"Proc. IEEE Conf. Comput. Vision Pattern Recognit","author":"Qi"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_23"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00542"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00466"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02131"},{"key":"ref7","first-page":"180","article-title":"DETR3D: 3D object detection from multi-view images via 3D-to-2D queries","volume-title":"Conf. Robot. Learn","author":"Wang"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160968"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00570"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00107"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_1"},{"article-title":"Bevdet: High-performance multi-camera 3D object detection in bird-eye-view","year":"2021","author":"Huang","key":"ref12"},{"key":"ref13","article-title":"Leveraging vision-centric multi-modal expertise for 3D object detection","volume":"36","author":"Huang","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00890"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00877"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","year":"2020","author":"Zhu","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00455"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20080-9_28"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00133"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"ref22","first-page":"15651","article-title":"Neural sparse voxel fields","volume":"33","author":"Liu","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00580"},{"article-title":"Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction","year":"2021","author":"Wang","key":"ref24"},{"key":"ref25","first-page":"4805","article-title":"Volume rendering of neural implicit surfaces","volume":"34","author":"Yariv","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01386"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00455"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02253"},{"key":"ref31","first-page":"26105","article-title":"PeRFception: Perception using radiance fields","volume":"35","author":"Jeong","year":"2022","journal-title":"Adv. Neural Inf. Process. Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680852"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2025.3560240"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00272"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref36","first-page":"29975","article-title":"CAGroup3D: Class-aware grouping for 3D object detection on point clouds","volume":"35","author":"Wang","year":"2022","journal-title":"Adv. Neural Inf. Process. Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.261"},{"article-title":"ARKitScenes - A diverse real-world dataset for 3D indoor scene understanding using mobile RGB-D data","volume-title":"Proc. 35th Conf. Neural Inf. Process. Syst. Datasets Benchmarks Track (Round 1)","author":"Baruch","key":"ref38"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01684"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00644"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11229090.pdf?arnumber=11229090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:17:47Z","timestamp":1763191067000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11229090\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11229090","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}