{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T16:36:24Z","timestamp":1757608584519,"version":"3.44.0"},"reference-count":60,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003052","name":"MOTIE","doi-asserted-by":"publisher","award":["2021-0-02068,RS-2024-00437718,RS-2023-00256629,RS-2022-00156287"],"award-info":[{"award-number":["2021-0-02068,RS-2024-00437718,RS-2023-00256629,RS-2022-00156287"]}],"id":[{"id":"10.13039\/501100003052","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,19]]},"DOI":"10.1109\/icra55743.2025.11128044","type":"proceedings-article","created":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T17:28:56Z","timestamp":1756834136000},"page":"3954-3961","source":"Crossref","is-referenced-by-count":0,"title":["OPRNet: Object-Centric Point Reconstruction Network for Multimodal 3D Object Detection in Adverse Weathers"],"prefix":"10.1109","author":[{"given":"Jae Hyun","family":"Yoon","sequence":"first","affiliation":[{"name":"Chonnam National University,Department of Artificial Intelligence Convergence,Gwangju,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jong Won","family":"Jung","sequence":"additional","affiliation":[{"name":"Chonnam National University,Department of Artificial Intelligence Convergence,Gwangju,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eun-Gi","family":"Lee","sequence":"additional","affiliation":[{"name":"Chonnam National University,Department of Artificial Intelligence Convergence,Gwangju,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seok Bong","family":"Yoo","sequence":"additional","affiliation":[{"name":"Chonnam National University,Department of Artificial Intelligence Convergence,Gwangju,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Sparse fuse dense: Towards high quality 3d detection with depth completion","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Xiaopei","year":"2022"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25380"},{"key":"ref3","article-title":"Virtual sparse convolution for multimodal 3d object detection","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Hai","year":"2023"},{"key":"ref4","article-title":"Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Mario","year":"2020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01588"},{"key":"ref6","article-title":"Lidar light scattering augmentation (lisa): Physicsbased simulation of adverse weather conditions for 3d object detection","author":"Velat","year":"2021","journal-title":"arXiv preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01500"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01054"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00274"},{"key":"ref10","article-title":"SE-SSD: Self-ensembling single-stage object detector from point cloud","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Wu","year":"2021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20194"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01105"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00352"},{"key":"ref14","article-title":"Uni3detr: Unified 3d detection transformer","volume":"36","author":"Zhenyu","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref15","article-title":"CluB: cluster meets BEV for LiDAR-based 3D object detection","volume":"36","author":"Yingjie","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"article-title":"Pillarnet: Real-time and high-performance pillar-based 3d object detection","volume-title":"European Conference on Computer Vision","author":"Guangsheng","key":"ref16"},{"article-title":"Swformer: Sparse window transformer for 3d object detection in point clouds","volume-title":"European Conference on Computer Vision","author":"Pei","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i3.28018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i3.28040"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3203163"},{"key":"ref21","article-title":"Voxelnext: Fully sparse voxelnet for 3d object detection and tracking","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Yukang","year":"2023"},{"key":"ref22","article-title":"Point-gnn: Graph neural network for 3d object detection in a point cloud","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Weijing","year":"2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00746"},{"key":"ref24","article-title":"Focal sparse convolutional networks for 3d object detection","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Yukang","year":"2022"},{"article-title":"Graph r-cnn: Towards accurate 3d object detection with semantic-decorated local graph","volume-title":"European Conference on Computer Vision","author":"Honghui","key":"ref25"},{"key":"ref26","article-title":"Focalformer3d: focusing on hard instance for 3d object detection","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"Yilun","year":"2023"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02012"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01656"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01613"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00311"},{"key":"ref31","article-title":"Dense voxel fusion for 3D object detection","volume-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision","author":"Anas","year":"2023"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10609987"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610905"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610492"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610830"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i3.28016"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICPRS54038.2022.9854073"},{"key":"ref38","article-title":"Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather Conditions","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Yujeong","year":"2024"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2021.107337"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3180904"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812241"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610108"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611324"},{"key":"ref44","article-title":"Restormer: Efficient transformer for high-resolution image restoration","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Waqas","year":"2022"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00239"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01195"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611100"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611709"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00255"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref51","article-title":"Objects as points","author":"Xingyi","year":"2019","journal-title":"arXiv preprint"},{"key":"ref52","article-title":"Lidar data synthesis with denoising diffusion probabilistic models","author":"Kazuto","year":"2023","journal-title":"arXiv preprint"},{"key":"ref53","article-title":"Nonlinear (nonsuperposable) methods for smoothing data","author":"Tukey","year":"1974","journal-title":"CONGRESS RECORD (EASCO)"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01683"},{"article-title":"Learning to generate realistic lidar point clouds","volume-title":"European Conference on Computer Vision","author":"Vlas","key":"ref55"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref57","article-title":"Benchmarking neural network robustness to common corruptions and perturbations","author":"Dan","year":"2019","journal-title":"arXiv preprint"},{"key":"ref58","first-page":"681","article-title":"Canadian adverse driving conditions dataset","author":"Matthew","year":"2021","journal-title":"The International Journal of Robotics Research 40"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.00907"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01451"}],"event":{"name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2025,5,19]]},"location":"Atlanta, GA, USA","end":{"date-parts":[[2025,5,23]]}},"container-title":["2025 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11127273\/11127223\/11128044.pdf?arnumber=11128044","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T06:06:43Z","timestamp":1756879603000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11128044\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,19]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/icra55743.2025.11128044","relation":{},"subject":[],"published":{"date-parts":[[2025,5,19]]}}}