% Key papers for Vision state space models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2024_vision_44684,
  title = {{Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33768},
}

@inproceedings{aaai2025_mamba_9900,
  title = {{Mamba YOLO: A Simple Baseline for Object Detection with State Space Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32885},
}

@inproceedings{cvpr2025_defmamba_25886,
  title = {{DefMamba: Deformable Visual State Space Model}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33989},
}

@inproceedings{cvpr2025_groupmamba_26459,
  title = {{GroupMamba: Efficient Group-Based Visual State Space Model}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33493},
}

@inproceedings{neurips2024_quadmamba_72338,
  title = {{QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95009},
}

@inproceedings{neurips2024_mambatree_72512,
  title = {{MambaTree: Tree Topology is All You Need in State Space Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94853},
}

@inproceedings{neurips2025_damamba_76551,
  title = {{DAMamba: Vision State Space Model with Dynamic Adaptive Scan}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=KYFTBpKIOr},
}

@inproceedings{icml2026_deformba_49620,
  title = {{Deformba: Vision State Space Model with Adaptive State Fusion}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=4Anq3hEfaO},
}

@inproceedings{icml2026_sf_51926,
  title = {{SF-Mamba: Rethinking State Space Model for Vision}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=R9AUrEgZEq},
}

@inproceedings{neurips2025_roma_77147,
  title = {{RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=QwY1vk67T3},
}

@inproceedings{aaai2026_2d_106548,
  title = {{2D-CrossScan Mamba: Enhancing State Space Models with Spatially Consistent Multi-Path 2D Information Propagation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38855},
}

@inproceedings{iclr2026_enabling_84995,
  title = {{Enabling True Global Perception in State Space Models for Visual Tasks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=96p1eBUVaN},
}

@inproceedings{neurips2026_foveal_94733,
  title = {{Foveal-Mamba: Inside-Out Ring Scanning with Recurrent Offset Prediction for Visual State Space Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/148775},
}