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08/24/2023
APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency
Diffusion models have exhibited promising progress in video generation. ...
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08/12/2023
Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks
Spiking neural networks (SNNs) are emerging as an energy-efficient alter...
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07/24/2023
A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image Restoration
Inspired by the fact that the matrix formulated by nonlocal similar patc...
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07/14/2023
Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion
Multispectral and Hyperspectral Image Fusion (MHIF) is a practical task ...
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04/10/2023
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion
Denosing diffusion model, as a generative model, has received a lot of a...
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06/21/2022
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks
Spiking Neural Networks (SNNs) is a practical approach toward more data-...
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03/30/2022
SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network
Spiking Neural Networks (SNNs) have piqued researchers' interest because...
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12/04/2021
A Triple-Double Convolutional Neural Network for Panchromatic Sharpening
Pansharpening refers to the fusion of a panchromatic image with a high s...
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09/05/2021
Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution
Hyperspectral image has become increasingly crucial due to its abundant ...
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07/24/2021
LAConv: Local Adaptive Convolution for Image Fusion
The convolution operation is a powerful tool for feature extraction and ...
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05/29/2020
Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks
Hyperspectral images are of crucial importance in order to better unders...
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08/26/2018
Rain Streak Removal for Single Image via Kernel Guided CNN
Rain streak removal is an important issue and has recently been investig...
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03/20/2018
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors
Rain streak removal is an important issue in outdoor vision systems and ...
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12/15/2017
A novel nonconvex approach to recover the low-tubal-rank tensor data: when t-SVD meets PSSV
In this paper we fix attention on a recently developed tensor decomposit...
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03/12/2015