% Key papers for Object-centric learning theory and video (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_object_14593,
  title = {{Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_picie_17605,
  title = {{PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2020_demystifying_59681,
  title = {{Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18922},
}

@inproceedings{iclr2019_reasoning_28917,
  title = {{Reasoning About Physical Interactions with Object-Oriented Prediction and Planning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/727},
}

@inproceedings{aaai2021_object_1079,
  title = {{Object-Centric Image Generation from Layouts}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/02647-object-centric-image-generation-from-layouts/},
}

@inproceedings{cvpr2022_objectfolder_19489,
  title = {{ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2020_contrastive_29414,
  title = {{Contrastive Learning of Structured World Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=H1gax6VtDB},
}

@inproceedings{neurips2018_adversarial_56849,
  title = {{Adversarial Scene Editing: Automatic Object Removal from Weak Supervision}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11740},
}

@inproceedings{cvpr2020_advisable_15135,
  title = {{Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2021_revisiting_62957,
  title = {{Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28710},
}

@inproceedings{aaai2020_exploiting_101917,
  title = {{Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5777},
}

@inproceedings{iclr2023_bridging_32838,
  title = {{Bridging the Gap to Real-World Object-Centric Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11128},
}

@inproceedings{iclr2020_scalor_29664,
  title = {{SCALOR: Generative World Models with Scalable Object Representations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=SJxrKgStDH},
}

@inproceedings{cvpr2024_prompt_24530,
  title = {{Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30557},
}

@inproceedings{neurips2022_savi_65605,
  title = {{SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55248},
}

@inproceedings{neurips2022_self_64474,
  title = {{Self-Supervised Visual Representation Learning with Semantic Grouping}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55409},
}

@inproceedings{cvpr2020_learning_15817,
  title = {{Learning to Manipulate Individual Objects in an Image}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_eagle_23300,
  title = {{EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30293},
}

@inproceedings{neurips2022_simple_65564,
  title = {{Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53177},
}

@inproceedings{neurips2021_genesis_63495,
  title = {{GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26238},
}

@inproceedings{icml2026_causal_52377,
  title = {{Causal-JEPA: Learning World Models through Object-Level Latent Masking}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=VMAHQDOtjp},
}

@inproceedings{cvpr2025_scene_27586,
  title = {{Scene-Centric Unsupervised Panoptic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35256},
}

@inproceedings{cvpr2025_orida_27099,
  title = {{ORIDa: Object-centric Real-world Image Composition Dataset}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35178},
}

@inproceedings{cvpr2025_style_27769,
  title = {{Style-Editor: Text-driven Object-centric Style Editing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34373},
}

@inproceedings{neurips2025_object_76650,
  title = {{Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=LjmXrUsSrg},
}

@inproceedings{cvpr2025_a_25354,
  title = {{A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34199},
}

@inproceedings{cvpr2025_ocrt_27091,
  title = {{OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35028},
}

@inproceedings{cvpr2025_pay_27234,
  title = {{Pay Attention to the Foreground in Object-Centric Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34483},
}

@inproceedings{neurips2024_bootstrapping_70490,
  title = {{Bootstrapping Top-down Information for Self-modulating Slot Attention}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96618},
}

@inproceedings{neurips2025_object_75586,
  title = {{Object-Centric Concept-Bottlenecks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=9lhijvd0fs},
}

@inproceedings{cvpr2025_be_25570,
  title = {{Be More Specific: Evaluating Object-centric Realism in Synthetic Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33332},
}

@inproceedings{cvpr2025_hierarchical_26510,
  title = {{Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34220},
}

@inproceedings{iclr2024_cribo_33557,
  title = {{CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19518},
}

@inproceedings{iclr2024_provable_33718,
  title = {{Provable Compositional Generalization for Object-Centric Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19357},
}

@inproceedings{iclr2024_learning_34082,
  title = {{Learning to Compose: Improving Object Centric Learning by Injecting Compositionality}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18993},
}

@inproceedings{icml2025_unmore_48939,
  title = {{unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43684},
}

@inproceedings{icml2026_evaluating_52194,
  title = {{Evaluating Object-Centric Models beyond Object Discovery}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=TZ5Kj41ML9},
}

@inproceedings{icml2026_infogeo_55048,
  title = {{InfoGeo: Information-Theoretic Object-Centric Learning for Cross-View Generalizable UAV Geo-Localization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=v6xrfEjNQv},
}