{"total":167,"rows":[{"id":"2403.06977","title":"VideoMamba: State Space Model for Efficient Video Understanding","created":"2024-03-11","cited_by_count":328,"area":"ssm"},{"id":"2407.06886","title":"Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI","created":"2024-07-09","cited_by_count":179,"area":null},{"id":"2503.16429","title":"Sonata: Self-Supervised Learning of Reliable Point Representations","created":"2025-03-20","cited_by_count":110,"area":null},{"id":"2406.10700","title":"Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection","created":"2024-06-15","cited_by_count":66,"area":"ssm"},{"id":"2404.09516","title":"State Space Model for New-Generation Network Alternative to Transformers: A Survey","created":"2024-04-15","cited_by_count":59,"area":null},{"id":"2403.18795","title":"Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction","created":"2024-03-27","cited_by_count":56,"area":"ssm"},{"id":"2405.04404","title":"Vision Mamba: A Comprehensive Survey and Taxonomy","created":"2024-05-07","cited_by_count":54,"area":"ssm"},{"id":"2503.18052","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining","created":"2025-03-23","cited_by_count":52,"area":"mllm"},{"id":"2404.15956","title":"A Survey on Visual Mamba","created":"2024-04-24","cited_by_count":50,"area":"ssm"},{"id":"2403.18257","title":"Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation","created":"2024-03-27","cited_by_count":45,"area":"ssm"},{"id":"2407.09646","title":"Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba","created":"2024-07-12","cited_by_count":45,"area":"ssm"},{"id":"2501.04944","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","created":"2025-01-09","cited_by_count":44,"area":"ssm"},{"id":"2410.08114","title":"Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning","created":"2024-10-10","cited_by_count":43,"area":null},{"id":"2407.18232","title":"LION: Linear Group RNN for 3D Object Detection in Point Clouds","created":"2024-07-25","cited_by_count":38,"area":"ssm"},{"id":"2502.10498","title":"The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey","created":"2025-02-14","cited_by_count":29,"area":"wm"},{"id":"2405.15463","title":"PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis","created":"2024-05-24","cited_by_count":26,"area":"ssm"},{"id":"2405.03025","title":"Matten: Video Generation with Mamba-Attention","created":"2024-05-05","cited_by_count":24,"area":"diffusion"},{"id":"2405.11449","title":"NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba","created":"2024-05-19","cited_by_count":24,"area":"ssm"},{"id":"2512.23180","title":"GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation","created":"2025-12-29","cited_by_count":23,"area":"wm"},{"id":"2404.18174","title":"Mamba-FETrack: Frame-Event Tracking via State Space Model","created":"2024-04-28","cited_by_count":22,"area":"ssm"},{"id":"2503.13587","title":"UniFuture: A 4D Driving World Model for Future Generation and Perception","created":"2025-03-17","cited_by_count":22,"area":"wm"},{"id":"2405.15214","title":"PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning","created":"2024-05-24","cited_by_count":21,"area":null},{"id":"2409.19613","title":"Hybrid Mamba for Few-Shot Segmentation","created":"2024-09-29","cited_by_count":21,"area":"ssm"},{"id":"2405.06116","title":"Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba","created":"2024-05-09","cited_by_count":19,"area":null},{"id":"2410.03105","title":"Mamba in Vision: A Comprehensive Survey of Techniques and Applications","created":"2024-10-04","cited_by_count":18,"area":"ssm"},{"id":"2404.01065","title":"T-Mamba: A unified framework with Long-Range Dependency in dual-domain for 2D & 3D Tooth Segmentation","created":"2024-04-01","cited_by_count":17,"area":"ssm"},{"id":"2404.11375","title":"Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion","created":"2024-04-17","cited_by_count":16,"area":"ssm"},{"id":"2410.10140","title":"Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution","created":"2024-10-14","cited_by_count":16,"area":"ssm"},{"id":"2407.03263","title":"A Unified Framework for 3D Scene Understanding","created":"2024-07-03","cited_by_count":15,"area":null},{"id":"2407.13772","title":"GroupMamba: Efficient Group-Based Visual State Space Model","created":"2024-07-18","cited_by_count":15,"area":"ssm"},{"id":"2405.16440","title":"MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting","created":"2024-05-26","cited_by_count":14,"area":"ssm"},{"id":"2408.11758","title":"MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs","created":"2024-08-21","cited_by_count":14,"area":"ssm"},{"id":"2504.16023","title":"PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning","created":"2025-04-22","cited_by_count":14,"area":null},{"id":"2405.18425","title":"ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention","created":"2024-05-28","cited_by_count":13,"area":null},{"id":"2407.06839","title":"A Mamba-based Siamese Network for Remote Sensing Change Detection","created":"2024-07-08","cited_by_count":13,"area":"ssm"},{"id":"2506.16201","title":"FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation","created":"2025-06-19","cited_by_count":13,"area":"diffusion"},{"id":"2405.17149","title":"LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling","created":"2024-05-27","cited_by_count":12,"area":"ssm"},{"id":"2410.00871","title":"MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining","created":"2024-10-01","cited_by_count":12,"area":"ssm"},{"id":"2411.03855","title":"MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba","created":"2024-11-06","cited_by_count":11,"area":"ssm"},{"id":"2411.04168","title":"DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation","created":"2024-11-06","cited_by_count":11,"area":"diffusion"},{"id":"2404.15349","title":"A Survey on Multimodal Wearable Sensor-based Human Action Recognition","created":"2024-04-14","cited_by_count":10,"area":null},{"id":"2404.18213","title":"S$^2$Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification","created":"2024-04-28","cited_by_count":10,"area":"ssm"},{"id":"2412.11183","title":"OccScene: Semantic Occupancy-based Cross-task Mutual Learning for 3D Scene Generation","created":"2024-12-15","cited_by_count":10,"area":"diffusion"},{"id":"2503.12009","title":"UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection","created":"2025-03-15","cited_by_count":10,"area":"ssm"},{"id":"2406.09546","title":"QMamba: On First Exploration of Vision Mamba for Image Quality Assessment","created":"2024-06-13","cited_by_count":9,"area":"ssm"},{"id":"2411.19774","title":"PerLA: Perceptive 3D Language Assistant","created":"2024-11-29","cited_by_count":9,"area":null},{"id":"2502.16907","title":"MambaFlow: A Novel and Flow-guided State Space Model for Scene Flow Estimation","created":"2025-02-24","cited_by_count":8,"area":"ssm"},{"id":"2508.19029","title":"Revisiting associative recall in modern recurrent models","created":"2025-08-26","cited_by_count":8,"area":null},{"id":"2503.18368","title":"MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning","created":"2025-03-24","cited_by_count":6,"area":null},{"id":"2605.03438","title":"Mantis: Mamba-native Tuning is Efficient for 3D Point Cloud Foundation Models","created":"2026-05-05","cited_by_count":6,"area":"ssm"},{"id":"2410.09886","title":"Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning","created":"2024-10-13","cited_by_count":5,"area":null},{"id":"2412.12496","title":"Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training","created":"2024-12-17","cited_by_count":5,"area":"ssm"},{"id":"2503.14493","title":"State Space Model Meets Transformer: A New Paradigm for 3D Object Detection","created":"2025-03-18","cited_by_count":5,"area":null},{"id":"2509.19873","title":"SpecMamba: Accelerating Mamba Inference on FPGA with Speculative Decoding","created":"2025-09-24","cited_by_count":5,"area":"inference"},{"id":"2404.12352","title":"Point-In-Context: Understanding Point Cloud via In-Context Learning","created":"2024-04-18","cited_by_count":4,"area":null},{"id":"2407.12319","title":"Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model","created":"2024-07-17","cited_by_count":4,"area":"ssm"},{"id":"2410.16020","title":"START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation","created":"2024-10-21","cited_by_count":4,"area":"ssm"},{"id":"2504.14371","title":"Efficient Spiking Point Mamba for Point Cloud Analysis","created":"2025-04-19","cited_by_count":4,"area":"ssm"},{"id":"2505.19546","title":"SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2506.23283","title":"MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition","created":"2025-06-29","cited_by_count":4,"area":"ssm"},{"id":"2606.01549","title":"ForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud Segmentation","created":"2026-06-01","cited_by_count":4,"area":"ssm"},{"id":"2404.19394","title":"CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation","created":"2024-04-30","cited_by_count":3,"area":"ssm"},{"id":"2408.05508","title":"PointMT: Efficient Point Cloud Analysis with Hybrid MLP-Transformer Architecture","created":"2024-08-10","cited_by_count":3,"area":null},{"id":"2409.14403","title":"GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature Learning","created":"2024-09-22","cited_by_count":3,"area":"ssm"},{"id":"2410.03987","title":"Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection","created":"2024-10-05","cited_by_count":3,"area":"ssm"},{"id":"2411.00151","title":"NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs","created":"2024-10-31","cited_by_count":3,"area":"ssm"},{"id":"2501.08837","title":"MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Anticipation","created":"2025-01-15","cited_by_count":3,"area":"ssm"},{"id":"2503.06569","title":"Global-Aware Monocular Semantic Scene Completion with State Space Models","created":"2025-03-09","cited_by_count":3,"area":"ssm"},{"id":"2504.13593","title":"KAN or MLP? Point Cloud Shows the Way Forward","created":"2025-04-18","cited_by_count":3,"area":null},{"id":"2506.21541","title":"StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning","created":"2025-06-26","cited_by_count":3,"area":"ssm"},{"id":"2509.09785","title":"Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token Purging","created":"2025-09-11","cited_by_count":3,"area":null},{"id":"2510.13245","title":"CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation","created":"2025-10-15","cited_by_count":3,"area":null},{"id":"2511.01768","title":"UniLION: Towards Unified Autonomous Driving Model with Linear Group RNNs","created":"2025-11-03","cited_by_count":3,"area":"driving"},{"id":"2511.03267","title":"IEC3D-AD: A 3D Dataset of Industrial Equipment Components for Unsupervised Point Cloud Anomaly Detection","created":"2025-11-05","cited_by_count":3,"area":null},{"id":"2602.11007","title":"LaSSM: Efficient Semantic-Spatial Query Decoding via Local Aggregation and State Space Models for 3D Instance Segmentation","created":"2026-02-11","cited_by_count":3,"area":null},{"id":"2604.28196","title":"HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation","created":"2026-04-30","cited_by_count":3,"area":"wm"},{"id":"2407.09344","title":"Pre-training Point Cloud Compact Model with Partial-aware Reconstruction","created":"2024-07-12","cited_by_count":2,"area":null},{"id":"2408.10618","title":"OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robot in Dynamic Environments via State Space Model","created":"2024-08-20","cited_by_count":2,"area":null},{"id":"2410.03292","title":"Demystifying the Token Dynamics of Deep Selective State Space Models","created":"2024-10-04","cited_by_count":2,"area":"ssm"},{"id":"2411.12603","title":"STREAM: A Universal State-Space Model for Sparse Geometric Data","created":"2024-11-19","cited_by_count":2,"area":"ssm"},{"id":"2412.16715","title":"From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer","created":"2024-12-21","cited_by_count":2,"area":null},{"id":"2501.16384","title":"MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling","created":"2025-01-25","cited_by_count":2,"area":"ssm"},{"id":"2502.10674","title":"Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition","created":"2025-02-15","cited_by_count":2,"area":null},{"id":"2503.00063","title":"NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary","created":"2025-02-27","cited_by_count":2,"area":null},{"id":"2503.11224","title":"Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models","created":"2025-03-14","cited_by_count":2,"area":null},{"id":"2504.01466","title":"Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes","created":"2025-04-02","cited_by_count":2,"area":"ssm"},{"id":"2505.22535","title":"RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2507.13378","title":"A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects","created":"2025-07-15","cited_by_count":2,"area":null},{"id":"2507.15212","title":"MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstruction","created":"2025-07-21","cited_by_count":2,"area":"ssm"},{"id":"2508.08910","title":"Masked Clustering Prediction for Unsupervised Point Cloud Pre-training","created":"2025-08-12","cited_by_count":2,"area":null},{"id":"2508.10522","title":"EgoMusic-driven Human Dance Motion Estimation with Skeleton Mamba","created":"2025-08-14","cited_by_count":2,"area":null},{"id":"2508.12917","title":"CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction","created":"2025-08-18","cited_by_count":2,"area":null},{"id":"2509.24802","title":"TACO-Net: Topological Signatures Triumph in 3D Object Classification","created":"2025-09-29","cited_by_count":2,"area":null},{"id":"2601.06465","title":"R$^3$D: Regional-guided Residual Radar Diffusion","created":"2026-01-10","cited_by_count":2,"area":null},{"id":"2604.04933","title":"PointTPA: Dynamic Network Parameter Adaptation for 3D Scene Understanding","created":"2026-04-06","cited_by_count":2,"area":null},{"id":"2406.16722","title":"Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba","created":"2024-06-24","cited_by_count":1,"area":"ssm"},{"id":"2409.16953","title":"PASS: Path-selective State Space Model for Event-based Recognition","created":"2024-09-25","cited_by_count":1,"area":"ssm"},{"id":"2410.10316","title":"GlobalMamba: Global Image Serialization for Vision Mamba","created":"2024-10-14","cited_by_count":1,"area":"ssm"},{"id":"2410.15941","title":"MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering","created":"2024-10-21","cited_by_count":1,"area":"ssm"},{"id":"2410.21211","title":"Exploring contextual modeling with linear complexity for point cloud segmentation","created":"2024-10-28","cited_by_count":1,"area":"ssm"}],"next_cursor":"100"}