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PointMamba: A Simple State Space Model for Point Cloud Analysis

PointMamba: A Simple State Space Model for Point Cloud Analysis

16 February 2024
Dingkang Liang
Xin Zhou
Wei Xu
Xingkui Zhu
Zhikang Zou
Xiaoqing Ye
Xinyu Wang
Xiang Bai
ArXivPDFHTML

Papers citing "PointMamba: A Simple State Space Model for Point Cloud Analysis"

26 / 26 papers shown
Title
Instance-Adaptive Keypoint Learning with Local-to-Global Geometric Aggregation for Category-Level Object Pose Estimation
Instance-Adaptive Keypoint Learning with Local-to-Global Geometric Aggregation for Category-Level Object Pose Estimation
X. Zhang
Lu Zou
Tao Lu
Yuan Yao
Zhangjin Huang
Guoping Wang
3DPC
28
0
0
21 Apr 2025
Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes
Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes
Kaiwei Zhang
Dandan Zhu
Xiongkuo Min
Guangtao Zhai
Mamba
52
0
0
02 Apr 2025
Dual-Domain Homogeneous Fusion with Cross-Modal Mamba and Progressive Decoder for 3D Object Detection
Dual-Domain Homogeneous Fusion with Cross-Modal Mamba and Progressive Decoder for 3D Object Detection
Xuzhong Hu
Zaipeng Duan
Pei An
Jun zhang
Jie Ma
3DPC
92
0
0
12 Mar 2025
Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition
Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition
Khanh Nguyen
Ghulam Mubashar Hassan
Ajmal Saeed Mian
3DPC
49
0
0
15 Feb 2025
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
Younggun Kim
Beomsik Cho
Seonghoon Ryoo
Soomok Lee
3DPC
96
0
0
27 Jan 2025
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
Yapeng Li
Yong Luo
L. Zhang
Zengmao Wang
Bo Du
Mamba
58
59
0
10 Jan 2025
Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning
Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning
Jianhao Li
Tianyu Sun
X. Zhang
Z. Wang
Bailan Feng
Hengshuang Zhao
3DPC
72
0
0
12 Nov 2024
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
Masakazu Yoshimura
Teruaki Hayashi
Yota Maeda
Mamba
100
2
0
06 Nov 2024
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation
Hao Phung
Quan Dao
T. Dao
Hoang Phan
Dimitris Metaxas
Anh Tran
Mamba
64
3
0
06 Nov 2024
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with
  Fast Point Rendering
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering
Jiayi Song
Weidong Yang
Zhijun Li
Wen-Ming Chen
Ben Fei
3DPC
23
1
0
21 Oct 2024
GlobalMamba: Global Image Serialization for Vision Mamba
GlobalMamba: Global Image Serialization for Vision Mamba
Chengkun Wang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
Mamba
35
0
0
14 Oct 2024
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
Yunze Liu
Li Yi
Mamba
45
2
0
01 Oct 2024
Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning
  Mamba
Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
Haoye Dong
Aviral Chharia
Wenbo Gou
Francisco Vicente Carrasco
Fernando De la Torre
Mamba
51
2
0
12 Jul 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point
  Modeling
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
Yaohua Zha
Naiqi Li
Yanzi Wang
Tao Dai
Hang Guo
Bin Chen
Zhi Wang
Zhihao Ouyang
Shu-Tao Xia
Mamba
42
8
0
27 May 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series
  Forecasting
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
Xiuding Cai
Yaoyao Zhu
Xueyao Wang
Yu Yao
Mamba
AI4TS
35
7
0
26 May 2024
Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba
Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba
Hongwei Ren
Yue Zhou
Jiadong Zhu
Haotian Fu
Yulong Huang
Xiaopeng Lin
Yuetong Fang
Fei Ma
Hao Yu
Bo-Xun Cheng
Mamba
38
9
0
09 May 2024
Graph Mamba: Towards Learning on Graphs with State Space Models
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz
Farnoosh Hashemi
AI4CE
109
58
0
13 Feb 2024
Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data
Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data
Shufan Li
Harkanwar Singh
Aditya Grover
Mamba
92
56
0
08 Feb 2024
VM-UNet: Vision Mamba UNet for Medical Image Segmentation
VM-UNet: Vision Mamba UNet for Medical Image Segmentation
Jiacheng Ruan
Suncheng Xiang
Mamba
75
254
0
04 Feb 2024
U-Mamba: Enhancing Long-range Dependency for Biomedical Image
  Segmentation
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
Jun Ma
Feifei Li
Bo Wang
Mamba
80
330
0
09 Jan 2024
Point Transformer V3: Simpler, Faster, Stronger
Point Transformer V3: Simpler, Faster, Stronger
Xiaoyang Wu
Li Jiang
Peng-Shuai Wang
Zhijian Liu
Xihui Liu
Yu Qiao
Wanli Ouyang
Tong He
Hengshuang Zhao
77
216
0
15 Dec 2023
How to Train Your HiPPO: State Space Models with Generalized Orthogonal
  Basis Projections
How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections
Albert Gu
Isys Johnson
Aman Timalsina
Atri Rudra
Christopher Ré
Mamba
95
89
0
24 Jun 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
176
244
0
28 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,367
0
07 Oct 2016
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