{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T09:24:23Z","timestamp":1780392263320,"version":"3.54.1"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,4]]},"DOI":"10.1109\/iv55152.2023.10186743","type":"proceedings-article","created":{"date-parts":[[2023,7,27]],"date-time":"2023-07-27T17:20:05Z","timestamp":1690478405000},"page":"1-7","source":"Crossref","is-referenced-by-count":4,"title":["AOP-Net: All-in-One Perception Network for LiDAR-based Joint 3D Object Detection and Panoptic Segmentation"],"prefix":"10.1109","author":[{"given":"Yixuan","family":"Xu","sequence":"first","affiliation":[{"name":"University of Toronto,Engineering Science Department,Toronto,Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamidreza","family":"Fazlali","sequence":"additional","affiliation":[{"name":"Huawei Technologies,Noah’s Ark Lab,Toronto,Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Ren","sequence":"additional","affiliation":[{"name":"Huawei Technologies,Noah’s Ark Lab,Toronto,Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingbing","family":"Liu","sequence":"additional","affiliation":[{"name":"Huawei Technologies,Noah’s Ark Lab,Toronto,Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"4490","article-title":"Voxelnet: End-to-end learning for point cloud based 3d object detection","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Yin"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00798"},{"key":"ref4","article-title":"Range conditioned dilated convolutions for scale invariant 3d object detection","author":"Bewley","year":"2020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01577"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/icra48891.2023.10160705"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340837"},{"key":"ref8","article-title":"Mopt: Multi-object panoptic tracking","author":"Hurtado","year":"2020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tro.2021.3122069"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01161"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/s18103337"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3060405"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37456-2_14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/cvprw59228.2023.00671"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2023.3303397"},{"key":"ref17","first-page":"24261","article-title":"Mlp-mixer: An all-mlp architecture for vision","author":"Tolstikhin","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3206148"},{"key":"ref19","article-title":"Do you even need attention? a stack of feed-forward layers does surprisingly well on imagenet","author":"Melas-Kyriazi","year":"2021"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref23","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"Paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref24","article-title":"Openpcdet: An open-source toolbox for 3d object detection from point clouds","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2021.3092571"},{"key":"ref26","article-title":"Class-balanced grouping and sampling for point cloud 3d object detection","author":"Zhu","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00466"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9564951"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01299"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01668"},{"key":"ref31","first-page":"21224","article-title":"Every view counts: Cross-view consistency in 3d object detection with hybrid-cylindrical-spherical voxelization","author":"Chen","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9635858"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25429"}],"event":{"name":"2023 IEEE Intelligent Vehicles Symposium (IV)","location":"Anchorage, AK, USA","start":{"date-parts":[[2023,6,4]]},"end":{"date-parts":[[2023,6,7]]}},"container-title":["2023 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10186382\/10186383\/10186743.pdf?arnumber=10186743","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T14:52:29Z","timestamp":1709304749000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10186743\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/iv55152.2023.10186743","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}