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- Reduced Gene Expression of Vascular Endothelial NO Synthase and Cyclooxygenase-1 in Heart Failure277
The results suggest that at least two endothelial vasodilator gene products are reduced in heart failure, as opposed to a selective defect in NO synthase gene expression.
- 264
- UCL-Dehaze: Toward Real-World Image Dehazing via Unsupervised Contrastive Learning245
This paper proposes an effective unsupervised contrastive learning paradigm for image dehazing, dubbed UCL-Dehaze, which does not require paired data during training and utilizes unpaired positive/negative data to better enhance the dehazing performance.
- Color Image Watermarking Using Multidimensional Fourier Transforms237
This paper presents two vector watermarking schemes that are based on the use of complex and quaternion Fourier transforms and demonstrates, for the first time, how to embed watermarks into the frequency domain that is consistent with the human visual system.
- 217
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- Comments on "An SVD-based watermarking scheme for protecting rightful Ownership"190
This comment demonstrates that this watermarking algorithm is fundamentally flawed in that the extracted watermark is not the embedded watermark but determined by the reference watermark, which biases the false positive detection rate.
- Thresholding neural network for adaptive noise reduction185
Numerical results show that the TNN is very effective in finding the optimal solutions of thresholding methods in an MSE sense and usually outperforms other noise reduction methods.
- 178
- On the Shift Operator, Graph Frequency, and Optimal Filtering in Graph Signal Processing175
A new shift operator based GSP framework enables the signal analysis along a correlation structure defined by a graph shift manifold as opposed to classical signal processing operating on the assumption of the correlation structure with a linear time shift manifold.
- Dual Vision Transformer174
This paper proposes a novel Transformer architecture that elegantly exploits the global semantics for self-attention learning, namely Dual Vision Transformer (Dual-ViT).
- The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances165
This survey article presents a comprehensive review about the recent advance of each element of the end-to-end deep face recognition, since the thriving deep learning techniques have greatly improved their capability of them.
- 159
- Performance Limits and Geometric Properties of Array Localization148
This paper determines the localization accuracy of an agent, which is equipped with an antenna array and localizes itself using wireless measurements with anchor nodes, in a far-field environment with typical anchor deployments and antenna arrays.
- Performance Limits and Geometric Properties of Narrowband Array Localization148
This paper determines the localization accuracy of an agent, which is equipped with an antenna array and localizes itself using wireless measurements with anchor nodes, in a far-field environment with typical anchor deployments and antenna arrays.
- Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI143
A Bayesian nonparametric model for reconstructing magnetic resonance images (MRIs) from highly undersampled \(k \) -space data is developed, and the proposed regularization framework can improve reconstruction accuracy over other methods.
- Transclaw U-Net: Claw U-Net With Transformers for Medical Image Segmentation140
The TransClaw U-Net network structure is proposed, which adds the bottom upsampling part to retain the deepest feature information for detail segmentation and the modified three-channel global attention mechanism to blend the outputs of three channels.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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