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08/24/2022
Discovering Transferable Forensic Features for CNN-generated Images Detection
Visual counterfeits are increasingly causing an existential conundrum in...
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06/29/2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
This work investigates the compatibility between label smoothing (LS) an...
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03/31/2021
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection
CNN-based generative modelling has evolved to produce synthetic images i...
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06/09/2020
Towards Good Practices for Data Augmentation in GAN Training
Recent successes in Generative Adversarial Networks (GAN) have affirmed ...
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11/16/2019
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Self-supervised (SS) learning is a powerful approach for representation ...
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08/29/2019
3D Face Pose and Animation Tracking via Eigen-Decomposition based Bayesian Approach
This paper presents a new method to track both the face pose and the fac...
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05/14/2019
An Improved Self-supervised GAN via Adversarial Training
We propose to improve unconditional Generative Adversarial Networks (GAN...
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11/04/2018
Improving GAN with neighbors embedding and gradient matching
We propose two new techniques for training Generative Adversarial Networ...
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08/23/2018
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
Recently, the introduction of the generative adversarial network (GAN) a...
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03/23/2018
Generative Adversarial Autoencoder Networks
We introduce an effective model to overcome the problem of mode collapse...
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02/10/2018