{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T15:55:21Z","timestamp":1781538921955,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,16]]},"DOI":"10.1145\/3805622.3810584","type":"proceedings-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T14:42:57Z","timestamp":1781534577000},"page":"1157-1165","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["HB-Mamba: Hierarchical Bi-directional State Space Modeling for LiDAR Semantic Segmentation in Autonomous Driving"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4864-6428","authenticated-orcid":false,"given":"Wei","family":"Li","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9241-6211","authenticated-orcid":false,"given":"Haiyun","family":"Guo","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7484-8173","authenticated-orcid":false,"given":"Manli","family":"Tao","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6483-1426","authenticated-orcid":false,"given":"Honghui","family":"Dong","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4976-3095","authenticated-orcid":false,"given":"Ming","family":"Tang","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9118-2780","authenticated-orcid":false,"given":"Jinqiao","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS60139.2025.11246557"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00464"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/3731715.3733359"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01236"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.5555\/2354409.2354978"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00961"},{"key":"e_1_3_3_1_9_2","unstructured":"Albert Gu and Tri Dao. 2023. Mamba: Linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2312.00752 (2023)."},{"key":"e_1_3_3_1_10_2","volume-title":"Dritter Band: Analysis\u00b7 Grundlagen der Mathematik\u00b7 Physik Verschiedenes: Nebst Einer Lebensgeschichte","author":"Hilbert David","year":"2013","unstructured":"David Hilbert. 2013. Dritter Band: Analysis\u00b7 Grundlagen der Mathematik\u00b7 Physik Verschiedenes: Nebst Einer Lebensgeschichte. Springer-Verlag."},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00829"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01683"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02078"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i5.32540"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Dingkang Liang Xin Zhou et\u00a0al. 2024. Pointmamba: A simple state space model for point cloud analysis. Advances in neural information processing systems 37 (2024) 32653\u201332677.","DOI":"10.52202\/079017-1026"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Zhe Liu Jinghua Hou Xinyu Wang Xiaoqing Ye Jingdong Wang Hengshuang Zhao and Xiang Bai. 2024. Lion: Linear group rnn for 3d object detection in point clouds. Advances in Neural Information Processing Systems 37 (2024) 13601\u201313626.","DOI":"10.52202\/079017-0435"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6837"},{"key":"e_1_3_3_1_19_2","volume-title":"A computer oriented geodetic data base and a new technique in file sequencing","author":"Morton Guy\u00a0M","year":"1966","unstructured":"Guy\u00a0M Morton. 1966. A computer oriented geodetic data base and a new technique in file sequencing. International Business Machines Company."},{"key":"e_1_3_3_1_20_2","first-page":"652","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","author":"Qi Charles\u00a0R","year":"2017","unstructured":"Charles\u00a0R Qi, Hao Su, Kaichun Mo, and Leonidas\u00a0J Guibas. 2017. Pointnet: Deep learning on point sets for 3d classification and segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition. 652\u2013660."},{"key":"e_1_3_3_1_21_2","unstructured":"Charles\u00a0Ruizhongtai Qi Li Yi Hao Su and Leonidas\u00a0J Guibas. 2017. Pointnet++: Deep hierarchical feature learning on point sets in a metric space. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_3_1_22_2","unstructured":"Tianfang Sun Zhizhong Zhang Xin Tan Yong Peng Yanyun Qu and Yuan Xie. 2024. Uni-to-multi modal knowledge distillation for bidirectional lidar-camera semantic segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)."},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_41"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Chuanxu Wang Jiajiong Li Xin Chen Da Song and Binghui Wang. 2025. Align and Blend: A Unified Multi-Modal LiDAR Segmentation Network. IEEE Transactions on Intelligent Transportation Systems (2025).","DOI":"10.1109\/TITS.2025.3533747"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01299"},{"key":"e_1_3_3_1_26_2","unstructured":"Xinyu Wang Jinghua Hou Zhe Liu and Yingying Zhu. 2025. HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2507.18575 (2025)."},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Xinjie Wang Ke Xu Bin Deng Yulan Guo and Hanyun Wang. 2025. ASRL: Adaptive Sparse Representation Learning for LiDAR Point Cloud Geometry Compression. IEEE Signal Processing Letters (2025).","DOI":"10.1109\/LSP.2025.3616643"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00463"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"Xiaoyang Wu Yixing Lao Li Jiang Xihui Liu and Hengshuang Zhao. 2022. Point transformer v2: Grouped vector attention and partition-based pooling. Advances in Neural Information Processing Systems 35 (2022) 33330\u201333342.","DOI":"10.52202\/068431-2415"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19815-1_39"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25429"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01595"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"e_1_3_3_1_34_2","unstructured":"Lianghui Zhu Bencheng Liao Qian Zhang Xinlong Wang Wenyu Liu and Xinggang Wang. 2024. Vision mamba: Efficient visual representation learning with bidirectional state space model. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2401.09417 (2024)."},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"crossref","unstructured":"Xinge Zhu Hui Zhou Tai Wang Fangzhou Hong Wei Li Yuexin Ma Hongsheng Li Ruigang Yang and Dahua Lin. 2021. Cylindrical and asymmetrical 3d convolution networks for lidar-based perception. IEEE Transactions on Pattern Analysis and Machine Intelligence 44 10 (2021) 6807\u20136822.","DOI":"10.1109\/TPAMI.2021.3098789"}],"event":{"name":"ICMR '26: International Conference on Multimedia Retrieval","location":"Amsterdam The Netherlands","acronym":"ICMR '26","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 2026 International Conference on Multimedia Retrieval"],"original-title":[],"deposited":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T15:06:57Z","timestamp":1781536017000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3805622.3810584"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,15]]},"references-count":34,"alternative-id":["10.1145\/3805622.3810584","10.1145\/3805622"],"URL":"https:\/\/doi.org\/10.1145\/3805622.3810584","relation":{},"subject":[],"published":{"date-parts":[[2026,6,15]]},"assertion":[{"value":"2026-06-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}