{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T09:37:39Z","timestamp":1775036259067,"version":"3.50.1"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"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":[[2026,1,30]]},"DOI":"10.1109\/cnml68938.2026.11452503","type":"proceedings-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T19:49:32Z","timestamp":1774986572000},"page":"639-643","source":"Crossref","is-referenced-by-count":0,"title":["VBT-Net: A Voronoi-based Transformer Network for Efficient Urban Vegetation Segmentation in LiDAR Point Clouds"],"prefix":"10.1109","author":[{"given":"Pu","family":"Chen","sequence":"first","affiliation":[{"name":"Hubei University of Technology,School of Computer Science,Wuhan,China"}]},{"given":"Fang","family":"Wan","sequence":"additional","affiliation":[{"name":"Hubei University of Technology,School of Computer Science,Wuhan,China"}]},{"given":"Chaoxia","family":"Zheng","sequence":"additional","affiliation":[{"name":"Hubei University of Technology,School of Computer Science,Wuhan,China"}]},{"given":"Li","family":"Xu","sequence":"additional","affiliation":[{"name":"Hubei University of Technology,School of Computer Science,Wuhan,China"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space[J]","volume":"30","author":"Qi","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref2","article-title":"Point-sam: Promptable 3d segmentation model for point clouds[J]","author":"Zhou","year":"2024"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN64981.2025.11228486"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01595"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02341"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3533767.3534396"},{"key":"ref8","article-title":"Enhancing large language models through dynamic contextual memory embedding: A technical evaluation[J]","volume":"2024","author":"Dakat","journal-title":"Authorea Preprints"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00651"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01112"}],"event":{"name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","location":"Chongqing, China","start":{"date-parts":[[2026,1,30]]},"end":{"date-parts":[[2026,2,1]]}},"container-title":["2026 International Conference on Communication Networks and Machine Learning (CNML)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11452215\/11452251\/11452503.pdf?arnumber=11452503","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T06:54:49Z","timestamp":1775026489000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11452503\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,30]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/cnml68938.2026.11452503","relation":{},"subject":[],"published":{"date-parts":[[2026,1,30]]}}}