You can also find my articles on my Google Scholar profile.
Publications: 2024, 2023, 2022, 2021
Published in AAAI, 2024 [pdf]
This paper is about TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities.
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Published in AAAI, 2024 [pdf]
This paper is about Learning Discriminative Noise Guidance for Image Forgery Detection and Localization.
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Published in CiBM, 2024 [pdf]
This paper is about SFE-Net: Spatial-frequency enhancement network for robust nuclei segmentation in histopathology images.
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Published in CiBM, 2023 [pdf]
This paper is about MGDUN: An interpretable network for multi-contrast MRI image super-resolution reconstruction.
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Published in ICSMD, 2023 [pdf]
This paper is about A Data Augmentation Method Based on Multi-Modal Image Fusion for Detection and Segmentation.
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Published in PRIME (MICCAI Workshop), 2023 [pdf]
This paper is about Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization.
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Published in ICCV, 2023 [pdf]
This paper is about PanFlowNet: A Flow-Based Deep Network for Pan-sharpening.
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Published in Proceedings of the 30th ACM International Conference on Multimedia, 2022 [pdf]
This paper is about Normalization-based Feature Selection and Restitution for Pan-sharpening.
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Published in Proceedings of the 30th ACM International Conference on Multimedia, 2022 [pdf]
This paper is about Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction.
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Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [pdf]
This paper is about Memory-augmented deep conditional unfolding network for pan-sharpening.
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Published in Neural Information Processing Systems 34, 2021 [pdf]
This paper is about Unfolding Taylors Approximations for Image Restoration.
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