% Key papers for Satellite image time series (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_satellite_16177,
  title = {{Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_dynamicearthnet_18718,
  title = {{DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_vits_22512,
  title = {{ViTs for SITS: Vision Transformers for Satellite Image Time Series}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21562},
}

@inproceedings{cvpr2021_the_17998,
  title = {{The Multi-Temporal Urban Development SpaceNet Dataset}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2026_tessera_98600,
  title = {{TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Feng_TESSERA_Temporal_Embeddings_of_Surface_Spectra_for_Earth_Representation_and_CVPR_2026_paper.html},
}

@inproceedings{aaai2022_shuttlenet_2743,
  title = {{ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04219-shuttlenet-position-aware-fusion-of-rally-progress-and-player-styles-for-stroke-forecasting-in-badminton/},
}

@inproceedings{aaai2019_deepdpm_100217,
  title = {{DeepDPM: Dynamic Population Mapping via Deep Neural Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3925},
}

@inproceedings{cvpr2024_multi_24218,
  title = {{Multi-modal Learning for Geospatial Vegetation Forecasting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30104},
}

@inproceedings{neurips2021_denethor_63394,
  title = {{DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://openreview.net/forum?id=uUa4jNMLjrL},
}

@inproceedings{aaai2023_auto_3138,
  title = {{Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26704},
}

@inproceedings{neurips2024_powerpm_71541,
  title = {{PowerPM: Foundation Model for Power Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95723},
}

@inproceedings{neurips2024_terra_71463,
  title = {{Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97768},
}

@inproceedings{aaai2024_hidden_6203,
  title = {{Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27809},
}

@inproceedings{neurips2023_biomassters_69116,
  title = {{BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73499},
}

@inproceedings{neurips2023_synthcity_69784,
  title = {{Synthcity: a benchmark framework for diverse use cases of tabular synthetic data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73437},
}

@inproceedings{neurips2024_the_71205,
  title = {{The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97791},
}

@inproceedings{neurips2024_job_72321,
  title = {{Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97678},
}

@inproceedings{aaai2024_efficient_5813,
  title = {{Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28686},
}

@inproceedings{neurips2024_condtsf_71652,
  title = {{CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95627},
}

@inproceedings{cvpr2025_exact_26176,
  title = {{Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32710},
}

@inproceedings{neurips2024_geoplant_71332,
  title = {{GeoPlant: Spatial Plant Species Prediction Dataset}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97777},
}

@inproceedings{aaai2024_kepler_6376,
  title = {{Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30435},
}

@inproceedings{aaai2025_gist_9277,
  title = {{GIST: Gear Type Identification by Spatiotemporal Trajectory Transformation for Monitoring Fisheries}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35056},
}

@inproceedings{aaai2025_mobility_9974,
  title = {{Mobility Data Representations for Spatiotemporal Tasks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35216},
}

@inproceedings{neurips2024_solarcube_72552,
  title = {{SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97653},
}

@inproceedings{neurips2025_how_77422,
  title = {{How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=TgGH1bY6kl},
}

@inproceedings{neurips2025_pipe_78753,
  title = {{PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=hymrUe6ATL},
}

@inproceedings{iclr2025_astrocompress_83224,
  title = {{AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28585},
}