% Key papers for Cross-domain translation and pose (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_exploring_14173,
  title = {{Exploring Object Relation in Mean Teacher for Cross-Domain Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_road_13497,
  title = {{ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_ROAD_Reality_Oriented_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_towards_14926,
  title = {{Towards Instance-Level Image-To-Image Translation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_art2real_13857,
  title = {{Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_dunit_15336,
  title = {{DUNIT: Detection-Based Unsupervised Image-to-Image Translation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_puppeteergan_16075,
  title = {{PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_neural_15940,
  title = {{Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_memory_17397,
  title = {{Memory-Guided Unsupervised Image-to-Image Translation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_interactron_19097,
  title = {{Interactron: Embodied Adaptive Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_multiclass_21623,
  title = {{Multiclass Confidence and Localization Calibration for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21286},
}

@inproceedings{cvpr2023_bridging_20512,
  title = {{Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21407},
}

@inproceedings{cvpr2022_towards_20051,
  title = {{Towards Low-Cost and Efficient Malaria Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2020_elixirnet_103658,
  title = {{ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6765},
}

@inproceedings{cvpr2023_knowledge_21301,
  title = {{Knowledge Combination To Learn Rotated Detection Without Rotated Annotation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22131},
}

@inproceedings{aaai2021_sd_1307,
  title = {{SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/02020-sd-pose-semantic-decomposition-for-cross-domain-6d-object-pose-estimation/},
}

@inproceedings{icml2017_learning_36266,
  title = {{Learning to Align the Source Code to the Compiled Object Code}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/821},
}

@inproceedings{cvpr2023_progressive_21930,
  title = {{Progressive Transformation Learning for Leveraging Virtual Images in Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22032},
}

@inproceedings{cvpr2024_domain_23250,
  title = {{Domain Separation Graph Neural Networks for Saliency Object Ranking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31486},
}

@inproceedings{aaai2025_domain_8798,
  title = {{Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32323},
}

@inproceedings{aaai2025_matching_9915,
  title = {{Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33095},
}

@inproceedings{neurips2025_mars_77612,
  title = {{Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Vi2iXrSDzD},
}

@inproceedings{neurips2025_forensichub_76347,
  title = {{ForensicHub: A Unified Benchmark \& Codebase for All-Domain Fake Image Detection and Localization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=IKK0mEUTfE},
}

@inproceedings{cvpr2024_m3_24044,
  title = {{M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30518},
}

@inproceedings{neurips2025_learning_76766,
  title = {{Learning to Zoom with Anatomical Relations for Medical Structure Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=MoS4P8zieM},
}

@inproceedings{iclr2026_veritrail_86691,
  title = {{VeriTrail: Closed-Domain Hallucination Detection with Traceability}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=Sr0btZuwBi},
}

@inproceedings{aaai2026_tuning_104622,
  title = {{Tuning Medical Foundation Models for Inner Ear Temporal CT Analysis with Plug-and-play Domain Knowledge Aggregator}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37926},
}

@inproceedings{icml2026_can_49203,
  title = {{Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=0B54C7rFJa},
}

@inproceedings{neurips2026_plls_91348,
  title = {{PLLS-CP: Unsupervised Hallucination Detection with Layer Selection and Cross-Domain Conformal Guarantees}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151476},
}