CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration | Paper Citation Record

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This paper cites LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

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This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages =

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This paper cites Any2Any: Unified Arbitrary Modality Translation for Remote Sensing.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Any2Any: Unified Arbitrary Modality Translation for Remote Sensing

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the European Conference on Computer Vision , pages =

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This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages =

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This paper cites IEEE Transactions on Image Processing , year =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Image Processing , year =

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This paper cites Advances in Neural Information Processing Systems , volume =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Advances in Neural Information Processing Systems , volume =

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This paper cites Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model , volume =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model , volume =

Reference 9

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This paper cites A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting

Reference 10

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This paper cites ISPRS Journal of Photogrammetry and Remote Sensing , volume =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration ISPRS Journal of Photogrammetry and Remote Sensing , volume =

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This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

Reference 12

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =

Reference 13

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This paper cites IEEE Transactions on Geoscience and Remote Sensing , year =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Geoscience and Remote Sensing , year =

Reference 14

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This paper cites IEEE Transactions on Circuits and Systems for Video Technology , volume =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Circuits and Systems for Video Technology , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration European conference on computer vision , pages =

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This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =

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This paper cites IEEE transactions on geoscience and remote sensing , volume =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE transactions on geoscience and remote sensing , volume =

Reference 18

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This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE conference on computer vision and pattern recognition , pages =

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This paper cites ClusIR: Towards Cluster-Guided All-in-One Image Restoration.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration ClusIR: Towards Cluster-Guided All-in-One Image Restoration

Reference 20

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Pattern Analysis and Machine Intelligence , year =

Reference 22

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Remote Sensing , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration YOLOv11: An Overview of the Key Architectural Enhancements

Reference 24

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Image Processing , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Remote Sensing of Environment , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration ISPRS Journal of Photogrammetry and Remote Sensing , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops , pages =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Information Fusion , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Geoscience and Remote Sensing , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration CrossMatch: Cross-View Matching for Semi-Supervised Remote Sensing Image Segmentation , year =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Image Processing , year =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration International Conference on Learning Representations , year =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration International Conference on Learning Representations , year =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration International Conference on Learning Representations , pages =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration arXiv preprint arXiv:2512.05104 , year =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Advances in Neural Information Processing Systems , year =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the International Conference on Machine Learning , pages =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Advances in Neural Information Processing Systems , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration International Conference on Learning Representations , year =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Geoscience and Remote Sensing Magazine , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Remote Sensing of Environment , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Image Processing , year =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Trans

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Geoscience and Remote Sensing , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Pattern Analysis and Machine Intelligence , year =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration IEEE Transactions on Geoscience and Remote Sensing , volume =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration arXiv preprint arXiv:2505.21089 , year =

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CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration Multiscale Restoration of Missing Data in Optical Time-series Images With Masked Spatial-Temporal Attention Network , year =

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