4 papers
SLIM: Semantic-based Low-bitrate Image compression for Machines by leveraging diffusion
Hyeonjin Lee, Jun-Hyuk Kim, Jong-Seok Lee
In recent years, the demand of image compression models for machine vision has increased dramatically. However, the training frameworks of image compression still focus on the visi…
DESSERT: Diffusion-based Event-driven Single-frame Synthesis via Residual Training
Jiyun Kong, Jun-Hyuk Kim, Jong-Seok Lee
Video frame prediction extrapolates future frames from previous frames, but suffers from prediction errors in dynamic scenes due to the lack of information about the next frame. Ev…
How Diffusion Models Memorize
Juyeop Kim, Songkuk Kim, Jong-Seok Lee
Despite their success in image generation, diffusion models can memorize training data, raising serious privacy and copyright concerns. Although prior work has sought to characteri…
Exploring Cross-Stage Adversarial Transferability in Class-Incremental Continual Learning
Jungwoo Kim, Jong-Seok Lee
Class-incremental continual learning addresses catastrophic forgetting by enabling classification models to preserve knowledge of previously learned classes while acquiring new one…