% Key papers for Foundation-model and correlation-filter tracking (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_staple_11888,
  title = {{Staple: Complementary Learners for Real-Time Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2019_lasot_14369,
  title = {{LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_atom_13810,
  title = {{ATOM: Accurate Tracking by Overlap Maximization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_discriminative_12215,
  title = {{Discriminative Correlation Filter With Channel and Spatial Reliability}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_large_12385,
  title = {{Large Margin Object Tracking With Circulant Feature Maps}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_visual_15012,
  title = {{Visual Tracking via Adaptive Spatially-Regularized Correlation Filters}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_multi_12473,
  title = {{Multi-Task Correlation Particle Filter for Robust Object Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_adaptive_11390,
  title = {{Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2020_d3s_15322,
  title = {{D3S - A Discriminative Single Shot Segmentation Tracker}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_fast_13102,
  title = {{Fast and Accurate Online Video Object Segmentation via Tracking Parts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Cheng_Fast_and_Accurate_CVPR_2018_paper.html},
}

@inproceedings{cvpr2021_towards_18026,
  title = {{Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_spm_14762,
  title = {{SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_transformer_20092,
  title = {{Transformer Tracking With Cyclic Shifting Window Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_alpha_16592,
  title = {{Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2022_attribute_1758,
  title = {{Attribute-Based Progressive Fusion Network for RGBT Tracking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/02831-attribute-based-progressive-fusion-network-for-rgbt-tracking/},
}

@inproceedings{cvpr2016_beyond_11414,
  title = {{Beyond Local Search: Tracking Objects Everywhere With Instance-Specific Proposals}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2020_tracking_16372,
  title = {{Tracking by Instance Detection: A Meta-Learning Approach}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2017_end_12244,
  title = {{End-To-End Representation Learning for Correlation Filter Based Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2022_spiking_19924,
  title = {{Spiking Transformers for Event-Based Single Object Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2016_structural_11890,
  title = {{Structural Correlation Filter for Robust Visual Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2024_onetracker_24363,
  title = {{OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30908},
}

@inproceedings{cvpr2024_event_23393,
  title = {{Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29490},
}

@inproceedings{cvpr2024_diffusiontrack_23217,
  title = {{DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29280},
}

@inproceedings{cvpr2025_a_25356,
  title = {{A Distractor-Aware Memory for Visual Object Tracking with SAM2}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35133},
}

@inproceedings{aaai2024_sequential_7321,
  title = {{Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29145},
}

@inproceedings{cvpr2025_dreamtrack_26005,
  title = {{DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33343},
}

@inproceedings{neurips2024_vasttrack_70518,
  title = {{VastTrack: Vast Category Visual Object Tracking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97849},
}

@inproceedings{cvpr2025_descriptor_25902,
  title = {{Descriptor-In-Pixel : Point-Feature Tracking For Pixel Processor Arrays}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32867},
}

@inproceedings{neurips2024_detrack_72747,
  title = {{DeTrack: In-model Latent Denoising Learning for Visual Object Tracking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94644},
}

@inproceedings{icml2026_relo_51037,
  title = {{RELO: Reinforcement Learning to Localize for Visual Object Tracking}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=IKZcb2jZqM},
}

@inproceedings{neurips2025_lattice_75443,
  title = {{Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=89ZIautowR},
}

@inproceedings{cvpr2026_spiketrack_97547,
  title = {{SpikeTrack: A Spike-driven Framework for Efficient Visual Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhang_SpikeTrack_A_Spike-driven_Framework_for_Efficient_Visual_Tracking_CVPR_2026_paper.html},
}