{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:18:16Z","timestamp":1777889896803,"version":"3.51.4"},"reference-count":69,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"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":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.02449","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"26393-26403","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Spiking Point Mamba for Point Cloud Analysis"],"prefix":"10.1109","author":[{"given":"Peixi","family":"Wu","sequence":"first","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bosong","family":"Chai","sequence":"additional","affiliation":[{"name":"Zhejiang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Menghua","family":"Zheng","sequence":"additional","affiliation":[{"name":"Tsingmao Intelligence"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhangchi","family":"Hu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hebei","family":"Li","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyan","family":"Sun","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00686.2005"},{"key":"ref2","article-title":"Optimal ann-snn conversion for highaccuracy and ultra-low-latency spiking neural networks","author":"Bu","year":"2023","journal-title":"arXiv preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.53.3958"},{"key":"ref4","article-title":"Shapenet: An information-rich 3d model repository","author":"Angel","year":"2015","journal-title":"arXiv preprint"},{"key":"ref5","article-title":"Transformers are ssms: Generalized models and efficient algorithms through structured state space duality","author":"Dao","year":"2024","journal-title":"arXiv preprint"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3483009"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00266"},{"key":"ref8","article-title":"Hungry hungry hippos: Towards language modeling with state space models","volume-title":"The Eleventh International Conference on Learning Representations","author":"Fu","year":"2023"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511815706"},{"key":"ref10","first-page":"7616","article-title":"It\u2019s raw! audio generation with state-space models","volume-title":"International conference on machine learning","author":"Goel","year":"2022"},{"key":"ref11","article-title":"Mamba: Linear-time sequence modeling with selective state spaces","author":"Gu","year":"2023","journal-title":"arXiv preprint"},{"key":"ref12","article-title":"Mamba: Linear-time sequence modeling with selective state spaces","volume-title":"First Conference on Language Modeling","author":"Gu","year":"2024"},{"key":"ref13","article-title":"Efficiently modeling long sequences with structured state spaces","author":"Gu","year":"2021","journal-title":"arXiv preprint"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2607"},{"key":"ref15","article-title":"How to train your hippo: State space models with generalized orthogonal basis projections","volume-title":"International Conference on Learning Representations","author":"Gu","year":"2023"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/iccv51070.2023.01595"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1670"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681173"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25071"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3275769"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00845"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73347-5_14"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00199"},{"key":"ref24","first-page":"32653","article-title":"Pointmamba: A simple state space model for point cloud analysis","volume":"37","author":"Liang","year":"2025","journal-title":"Advances in neural information processing systems"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20086-1_38"},{"key":"ref26","article-title":"Mamba4d: Efficient long-sequence point cloud video understanding with disentangled spatial-temporal state space models","author":"Liu","year":"2024","journal-title":"arXiv preprint"},{"key":"ref27","article-title":"Point mamba: A novel point cloud backbone based on state space model with octree-based ordering strategy","author":"Liu","year":"2024","journal-title":"arXiv preprint"},{"key":"ref28","first-page":"103031","article-title":"Vmamba: Visual state space model","volume":"37","author":"Liu","year":"2025","journal-title":"Advances in neural information processing systems"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73411-3_15"},{"key":"ref30","article-title":"Rethinking network design and local geometry in point cloud: A simple residual mlp framework","volume-title":"International Conference on Learning Representations","author":"Ma","year":"2022"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref32","article-title":"Long range language modeling via gated state spaces","volume-title":"The Eleventh International Conference on Learning Representations","author":"Mehta","year":"2023"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0206"},{"key":"ref34","first-page":"26670","article-title":"Resurrecting recurrent neural networks for long sequences","volume-title":"International Conference on Machine Learning","author":"Orvieto","year":"2023"},{"key":"ref35","article-title":"Spiking-detr: A spikedriven end-to-end object detection framework on spike-form data streams using spiking-transformer and spiking residual learning","author":"Ouyang","year":"2024","journal-title":"Available at SSRN 4706194"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20086-1_35"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01644"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.09.001"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref40","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","author":"Ruizhongtai Qi","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i19.34212"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1811"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1677-2"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/s43588-021-00184-y"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/MWSCAS60917.2024.10658798"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i19.34245"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01054"},{"key":"ref48","article-title":"Simplified state space layers for sequence modeling","volume-title":"The Eleventh International Conference on Learning Representations 2023","author":"Smith"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00167"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00169"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00516"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i20.35459"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i6.28425"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i6.28425"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2415"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298801"},{"key":"ref57","article-title":"Vivim: A video vision mamba for medical video segmentation","author":"Yang","year":"2024","journal-title":"arXiv preprint"},{"key":"ref58","article-title":"Spike-driven transformer","author":"Yao","year":"2024","journal-title":"Advances in neural information processing systems, 36"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2980238"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29587"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01871"},{"key":"ref62","article-title":"Voxel mamba: Group-free state space models for point cloud based 3d object detection","author":"Zhang","year":"2024","journal-title":"arXiv preprint"},{"key":"ref63","article-title":"Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training","author":"Zhang","year":"2022","journal-title":"NeurIPS"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29625"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i10.33098"},{"key":"ref66","article-title":"Spike-ssm: A sparse, precise, and efficient spiking state space model for long sequences learning","author":"Zhong","year":"2024","journal-title":"arXiv preprint"},{"key":"ref67","article-title":"Qkformer: Hierarchical spiking transformer using qk attention","author":"Zhou","year":"2024","journal-title":"arXiv preprint"},{"key":"ref68","article-title":"Spikformer v2: Join the high accuracy club on imagenet with an snn ticket","author":"Zhou","year":"2024","journal-title":"arXiv preprint"},{"key":"ref69","article-title":"Vision mamba: Efficient visual representation learning with bidirectional state space model","volume-title":"Forty-first International Conference on Machine Learning","author":"Zhu","year":"2024"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11445417.pdf?arnumber=11445417","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:23:40Z","timestamp":1777613020000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11445417\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.02449","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}