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08/20/2023
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks
Continuous Conditional Generative Adversarial Networks (CcGANs) enable g...
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12/08/2022
A Scale-Arbitrary Image Super-Resolution Network Using Frequency-domain Information
Image super-resolution (SR) is a technique to recover lost high-frequenc...
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04/07/2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression
Knowledge distillation (KD) has been actively studied for image classifi...
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03/20/2021
Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks
Subsampling unconditional generative adversarial networks (GANs) to impr...
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11/15/2020
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
This work proposes the continuous conditional generative adversarial net...
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10/29/2020
Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection
Recently, generative adversarial networks (GANs) can generate photo-real...
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10/28/2020
Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples
Modern methods often formulate the counting of cells from microscopic im...
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10/06/2020
A Novel Neural Network Training Framework with Data Assimilation
In recent years, the prosperity of deep learning has revolutionized the ...
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09/24/2019
