Search Results for author: Wen Lu

Found 9 papers, 4 papers with code

Regularized Deep Linear Discriminant Analysis

no code implementations15 May 2021 Hongwei Chen, Wen Lu

As a non-linear extension of the classic Linear Discriminant Analysis(LDA), Deep Linear Discriminant Analysis(DLDA) replaces the original Categorical Cross Entropy(CCE) loss function with eigenvalue-based loss function to make a deep neural network(DNN) able to learn linearly separable hidden representations.

Transitive Learning: Exploring the Transitivity of Degradations for Blind Super-Resolution

1 code implementation29 Mar 2021 Yuanfei Huang, Jie Li, Yanting Hu, Xinbo Gao, Wen Lu

We then propose a novel Transitive Learning method for blind Super-Resolution on transitive degradations (TLSR), by adaptively inferring a transitive transformation function to solve the unknown degradations without any iterative operations in inference.

Super-Resolution

Bergman kernels and equidistribution for sequences of line bundles on Kähler manifolds

no code implementations22 Dec 2020 Dan Coman, Wen Lu, Xiaonan Ma, George Marinescu

Given a sequence of positive Hermitian holomorphic line bundles $(L_p, h_p)$ on a K\"ahler manifold $X$, we establish the asymptotic expansion of the Bergman kernel of the space of global holomorphic sections of $L_p$, under a natural convergence assumption on the sequence of curvatures $c_1(L_p, h_p)$.

Complex Variables Differential Geometry Probability Symplectic Geometry

Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution

1 code implementation28 Sep 2020 Yuanfei Huang, Jie Li, Xinbo Gao, Yanting Hu, Wen Lu

To solve them, we propose a purposeful and interpretable detail-fidelity attention network to progressively process these smoothes and details in divide-and-conquer manner, which is a novel and specific prospect of image super-resolution for the purpose on improving the detail fidelity, instead of blindly designing or employing the deep CNNs architectures for merely feature representation in local receptive fields.

Image Super-Resolution

Distilling with Residual Network for Single Image Super Resolution

no code implementations5 Jul 2019 Xiaopeng Sun, Wen Lu, Rui Wang, Furui Bai

Recently, the deep convolutional neural network (CNN) has made remarkable progress in single image super resolution(SISR).

Image Reconstruction Image Super-Resolution

A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction

no code implementations19 Dec 2018 Xiaodan Zhang, Xinbo Gao, Wen Lu, Lihuo He

The former aims to mimic the functions of peripheral vision to encode the holistic information and provide the attended regions.

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