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03/10/2022
Unfolded Deep Kernel Estimation for Blind Image Super-resolution
Blind image super-resolution (BISR) aims to reconstruct a high-resolutio...
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08/25/2020
Variational Image Restoration Network
Deep neural networks (DNNs) have achieved significant success in image r...
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04/03/2020
Gradient Centralization: A New Optimization Technique for Deep Neural Networks
Optimization techniques are of great importance to effectively and effic...
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08/29/2019
Variational Denoising Network: Toward Blind Noise Modeling and Removal
Blind image denoising is an important yet very challenging problem in co...
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04/01/2019
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model
Most of the existing learning-based single image superresolution (SISR) ...
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11/07/2018
Model Inconsistent but Correlated Noise: Multi-view Subspace Learning with Regularized Mixture of Gaussians
Multi-view subspace learning (MSL) aims to find a low-dimensional subspa...
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05/07/2018
Sharp Attention Network via Adaptive Sampling for Person Re-identification
In this paper, we present novel sharp attention networks by adaptively s...
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05/28/2017