In the realm of medical imaging, particularly for COVID-19 detection, deep learning models
face substantial challenges such as the necessity for extensive computational resources, the …

Deepfake detection plays a key role in preventing the misuses of artificial intelligence in
video editing. Current deep learning-based deepfake detection methods often perform quite …

Advances in deepfake research have led to the creation of almost perfect image
manipulations that are undetectable to the human eye and some deepfake detection tools …

Human affective behavior analysis aims to delve into human expressions and behaviors to
deepen our understanding of human emotions. Basic expression categories (EXPR) and …

Biomedical image segmentation is critical for accurate identification and analysis of
anatomical structures in medical imaging, particularly in cardiac MRI. Manual segmentation …

Due to the successful development of deep image generation technology, visual data
forgery detection would play a more important role in social and economic security. Existing …

Building on the success of deep learning models in cardiovascular structure segmentation,
increasing attention has been focused on improving generalization and robustness …

Deep generative models have demonstrated impressive performance in various computer
vision applications, including image synthesis, video generation, and medical analysis …

Diffusion models (DMs) have revolutionized image generation, producing high-quality
images with applications spanning various fields. However, their ability to create hyper …

Generative adversarial networks (GANs) have remarkably advanced in diverse domains,
especially image generation and editing. However, the misuse of GANs for generating …