1 citations · 1 across the 4 of their papers we have counts for
4 papers
Low-Quality Image Detection by Hierarchical VAE
Tomoyasu Nanaumi, Kazuhiko Kawamoto, Hiroshi Kera
To make an employee roster, photo album, or training dataset of generative models, one needs to collect high-quality images while dismissing low-quality ones. This study addresses…
VarteX: Enhancing Weather Forecast through Distributed Variable Representation
Ayumu Ueyama, Kazuhiko Kawamoto, Hiroshi Kera
Weather forecasting is essential for various human activities. Recent data-driven models have outperformed numerical weather prediction by utilizing deep learning in forecasting pe…
Theoretical Understanding of Learning from Adversarial Perturbations
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
It is not fully understood why adversarial examples can deceive neural networks and transfer between different networks. To elucidate this, several studies have hypothesized that a…
Exploiting Frequency Spectrum of Adversarial Images for General Robustness
Chun Yang Tan, Kazuhiko Kawamoto, Hiroshi Kera
In recent years, there has been growing concern over the vulnerability of convolutional neural networks (CNNs) to image perturbations. However, achieving general robustness against…