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01/10/2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation
Session-based Recommendation (SBR) is to predict users' next interested ...
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10/14/2022
ISTA-Inspired Network for Image Super-Resolution
Deep learning for image super-resolution (SR) has been investigated by n...
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07/19/2022
Using the Newton-Raphson Method with Automatic Differentiation to Numerically Solve Implied Volatility of Stock Option through Binomial Model
In the paper written by Klibanov et al, it proposes a novel method to ca...
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06/07/2022
Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution
As a highly ill-posed issue, single image super-resolution (SISR) has be...
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05/27/2022
Textural-Structural Joint Learning for No-Reference Super-Resolution Image Quality Assessment
Image super-resolution (SR) has been widely investigated in recent years...
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04/26/2022
Learning Weighting Map for Bit-Depth Expansion within a Rational Range
Bit-depth expansion (BDE) is one of the emerging technologies to display...
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01/05/2022
Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution
It is challenging to restore low-resolution (LR) images to super-resolut...
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10/25/2021
Fast estimation method for rank of a high-dimensional sparse matrix
Numerical computing the rank of a matrix is a fundamental problem in sci...
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07/19/2020
Progressive Multi-Scale Residual Network for Single Image Super-Resolution
Super-resolution is a classical issue in image restoration field. In rec...
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05/20/2020
