% Key papers for Unsupervised object and part discovery (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_deblurgan_12949,
  title = {{DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Kupyn_DeblurGAN_Blind_Motion_CVPR_2018_paper.html},
}

@inproceedings{iclr2018_unsupervised_28591,
  title = {{Unsupervised Representation Learning by Predicting Image Rotations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/227},
}

@inproceedings{cvpr2017_learning_12403,
  title = {{Learning Features by Watching Objects Move}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_learning_11653,
  title = {{Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2021_virtex_18127,
  title = {{VirTex: Learning Visual Representations From Textual Annotations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_learning_14423,
  title = {{Learning Unsupervised Video Object Segmentation Through Visual Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{icml2019_multi_37556,
  title = {{Multi-Object Representation Learning with Iterative Variational Inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4327},
}

@inproceedings{cvpr2018_unsupervised_13683,
  title = {{Unsupervised Discovery of Object Landmarks as Structural Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Unsupervised_Discovery_of_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_primary_12550,
  title = {{Primary Object Segmentation in Videos Based on Region Augmentation and Reduction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2023_cut_20676,
  title = {{Cut and Learn for Unsupervised Object Detection and Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23032},
}

@inproceedings{cvpr2018_segan_13565,
  title = {{SeGAN: Segmenting and Generating the Invisible}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Ehsani_SeGAN_Segmenting_and_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_unsupervised_14985,
  title = {{Unsupervised Part-Based Disentangling of Object Shape and Appearance}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2016_optical_11746,
  title = {{Optical Flow With Semantic Segmentation and Localized Layers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2022_deep_18621,
  title = {{Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_splicing_19925,
  title = {{Splicing ViT Features for Semantic Appearance Transfer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_scops_14755,
  title = {{SCOPS: Self-Supervised Co-Part Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_finegan_14217,
  title = {{FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_unsupervised_14982,
  title = {{Unsupervised Moving Object Detection via Contextual Information Separation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_instance_13229,
  title = {{Instance Embedding Transfer to Unsupervised Video Object Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Instance_Embedding_Transfer_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_soft_11874,
  title = {{Soft-Segmentation Guided Object Motion Deblurring}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2024_guided_23651,
  title = {{Guided Slot Attention for Unsupervised Video Object Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30536},
}

@inproceedings{cvpr2024_improving_23778,
  title = {{Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31622},
}

@inproceedings{aaai2024_samflow_7201,
  title = {{SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28603},
}

@inproceedings{cvpr2024_learn_23938,
  title = {{Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31365},
}

@inproceedings{cvpr2024_unsamflow_25111,
  title = {{UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30130},
}

@inproceedings{cvpr2024_unsupervised_25169,
  title = {{Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29568},
}

@inproceedings{cvpr2024_cuvler_23067,
  title = {{CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31421},
}

@inproceedings{cvpr2024_shapematcher_24811,
  title = {{ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29965},
}

@inproceedings{cvpr2025_mos_26879,
  title = {{MOS: Modeling Object-Scene Associations in Generalized Category Discovery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32559},
}

@inproceedings{aaai2024_expand_5893,
  title = {{Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28056},
}

@inproceedings{aaai2025_integrating_9582,
  title = {{Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32708},
}

@inproceedings{cvpr2025_floxels_26291,
  title = {{Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32473},
}

@inproceedings{neurips2024_learning_74379,
  title = {{Learning Segmentation from Point Trajectories}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93186},
}

@inproceedings{aaai2024_heap_6177,
  title = {{HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28562},
}

@inproceedings{cvpr2024_diod_23087,
  title = {{DIOD: Self-Distillation Meets Object Discovery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31299},
}

@inproceedings{icml2024_latent_45585,
  title = {{Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32867},
}

@inproceedings{cvpr2025_flexuod_26280,
  title = {{FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34426},
}

@inproceedings{neurips2024_hierarchy_71191,
  title = {{Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semantic Image Structure}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96040},
}

@inproceedings{neurips2024_object_72033,
  title = {{Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95285},
}

@inproceedings{aaai2025_real_10473,
  title = {{Real-Time Object Detection and Skeletonization for Motion Prediction in Video Streaming}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35376},
}