{"total":33,"rows":[{"id":"2405.04404","title":"Vision Mamba: A Comprehensive Survey and Taxonomy","created":"2024-05-07","cited_by_count":54,"area":"ssm"},{"id":"2404.15956","title":"A Survey on Visual Mamba","created":"2024-04-24","cited_by_count":50,"area":"ssm"},{"id":"2404.18861","title":"Visual Mamba: A Survey and New Outlooks","created":"2024-04-29","cited_by_count":41,"area":"ssm"},{"id":"2408.09859","title":"OccMamba: Semantic Occupancy Prediction with State Space Models","created":"2024-08-19","cited_by_count":30,"area":"ssm"},{"id":"2404.18174","title":"Mamba-FETrack: Frame-Event Tracking via State Space Model","created":"2024-04-28","cited_by_count":22,"area":"ssm"},{"id":"2408.06291","title":"Mambular: A Sequential Model for Tabular Deep Learning","created":"2024-08-12","cited_by_count":21,"area":"ssm"},{"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":"2410.06806","title":"QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model","created":"2024-10-09","cited_by_count":18,"area":"ssm"},{"id":"2405.14338","title":"MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models","created":"2024-05-23","cited_by_count":11,"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":"2407.03552","title":"Vision Mamba for Classification of Breast Ultrasound Images","created":"2024-07-04","cited_by_count":7,"area":"ssm"},{"id":"2408.10575","title":"MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval","created":"2024-08-20","cited_by_count":7,"area":"ssm"},{"id":"2408.15740","title":"MambaPlace:Text-to-Point-Cloud Cross-Modal Place Recognition with Attention Mamba Mechanisms","created":"2024-08-28","cited_by_count":7,"area":"ssm"},{"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":"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":"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":"2503.06569","title":"Global-Aware Monocular Semantic Scene Completion with State Space Models","created":"2025-03-09","cited_by_count":3,"area":"ssm"},{"id":"2511.07823","title":"CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis","created":"2025-11-11","cited_by_count":3,"area":"ssm"},{"id":"2603.00439","title":"Mamba-CAD: State Space Model For 3D Computer-Aided Design Generative Modeling","created":"2026-02-28","cited_by_count":3,"area":"ssm"},{"id":"2506.03084","title":"InterMamba: Efficient Human-Human Interaction Generation with Adaptive Spatio-Temporal Mamba","created":"2025-06-03","cited_by_count":2,"area":"ssm"},{"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":"2507.19778","title":"HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning","created":"2025-07-26","cited_by_count":2,"area":"ssm"},{"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":"2410.21211","title":"Exploring contextual modeling with linear complexity for point cloud segmentation","created":"2024-10-28","cited_by_count":1,"area":"ssm"},{"id":"2503.17938","title":"Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence Learning","created":"2025-03-23","cited_by_count":1,"area":"ssm"},{"id":"2508.17634","title":"Finding Outliers in a Haystack: Anomaly Detection for Large Pointcloud Scenes","created":"2025-08-25","cited_by_count":1,"area":"ssm"},{"id":"2509.24318","title":"Similarity-Aware Selective State-Space Modeling for Semantic Correspondence","created":"2025-09-29","cited_by_count":1,"area":"ssm"},{"id":"2601.06891","title":"CLIMP: Contrastive Language-Image Mamba Pretraining","created":"2026-01-11","cited_by_count":1,"area":"ssm"},{"id":"2505.11578","title":"Physics Consistency and Latent Dynamics in Spatiotemporal Physics Field Generation","created":"2025-05-16","cited_by_count":0,"area":"ssm"},{"id":"2506.13183","title":"MT-PCR: Hybrid Mamba-Transformer Network with Spatial Serialization for Point Cloud Registration","created":"2025-06-16","cited_by_count":0,"area":"ssm"},{"id":"2507.18575","title":"HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation","created":"2025-07-24","cited_by_count":0,"area":"ssm"},{"id":"2602.01586","title":"HandMCM: Multi-modal Point Cloud-based Correspondence State Space Model for 3D Hand Pose Estimation","created":"2026-02-02","cited_by_count":0,"area":"ssm"}],"next_cursor":null}