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12/26/2022
Orientation-Shared Convolution Representation for CT Metal Artifact Learning
During X-ray computed tomography (CT) scanning, metallic implants carryi...
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09/30/2022
A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback
Channel state information (CSI) plays a critical role in achieving the p...
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09/21/2022
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
Although current deep learning-based methods have gained promising perfo...
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05/15/2022
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Deep generative models have achieved tremendous success in designing nov...
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02/12/2022
Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment
Motivated by their recent advances, deep learning techniques have been w...
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07/30/2021
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions
It has been shown that equivariant convolution is very helpful for many ...
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07/14/2021
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining
As a common weather, rain streaks adversely degrade the image quality. H...
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10/13/2020
Automating App Review Response Generation Based on Contextual Knowledge
User experience of mobile apps is an essential ingredient that can influ...
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08/08/2020
From Rain Removal to Rain Generation
Single image deraining is an important yet challenging issue due to the ...
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08/03/2020
Learning to Purify Noisy Labels via Meta Soft Label Corrector
Recent deep neural networks (DNNs) can easily overfit to biased training...
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05/19/2020
Structural Residual Learning for Single Image Rain Removal
To alleviate the adverse effect of rain streaks in image processing task...
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05/04/2020
A Model-driven Deep Neural Network for Single Image Rain Removal
Deep learning (DL) methods have achieved state-of-the-art performance in...
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02/20/2019
Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels
While deep networks have strong fitting capability to complex input patt...
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02/20/2019
Tug the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels
While deep networks have strong fitting capability to complex input patt...
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01/10/2019
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
Hyperspectral imaging can help better understand the characteristics of ...
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11/08/2018
Tools and Benchmarks for Automated Log Parsing
Logs are imperative in the development and maintenance process of many s...
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09/18/2018
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing
The 3-D total variation (3DTV) is a powerful regularization term, which ...
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08/08/2018
Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement
Recently, deep learning(DL) methods have been proposed for the low-dose ...
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05/23/2014
