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06/09/2022
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion
Despite being tremendously overparameterized, it is appreciated that dee...
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05/05/2021
Understanding Long Range Memory Effects in Deep Neural Networks
Stochastic gradient descent (SGD) is of fundamental importance in deep l...
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04/14/2021
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
Guided depth super-resolution (GDSR) is a hot topic in multi-modal image...
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03/10/2021
Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Information
Pansharpening is a fundamental issue in remote sensing field. This paper...
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03/08/2021
Deep Gradient Projection Networks for Pan-sharpening
Pan-sharpening is an important technique for remote sensing imaging syst...
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12/31/2020
FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter
Pansharpening is a widely used image enhancement technique for remote se...
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12/16/2020
Domain Adaptive Object Detection via Feature Separation and Alignment
Recently, adversarial-based domain adaptive object detection (DAOD) meth...
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09/21/2020
MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion
Multi-Focus Image Fusion (MFIF) is one of the promising techniques to ob...
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09/02/2020
When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method
Infrared and visible image fusion, as a hot topic in image processing an...
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05/18/2020
Deep Convolutional Sparse Coding Networks for Image Fusion
Image fusion is a significant problem in many fields including digital p...
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05/12/2020
Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling
Infrared and visible image fusion expects to obtain images that highligh...
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05/12/2020
Bayesian Fusion for Infrared and Visible Images
Infrared and visible image fusion has been a hot issue in image fusion. ...
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02/12/2020