This paper presents a novel visual-language model called DFER-CLIP, which is based on
the CLIP model and designed for in-the-wild Dynamic Facial Expression Recognition …

Fairness is crucial when training a deep-learning discriminative model, especially in the
facial domain. Models tend to correlate specific characteristics (such as age and skin color) …

Generating human portraits is a hot topic in the image generation area, eg mask-to-face
generation and text-to-face generation. However, these unimodal generation methods lack …

The steady improvement of Diffusion Models for visual synthesis has given rise to many new
and interesting use cases of synthetic images but also has raised concerns about their …

Explainability in artificial intelligence is crucial for restoring trust, particularly in areas like
face forgery detection, where viewers often struggle to distinguish between real and …

Image generation techniques, particularly latent diffusion models, have exploded in
popularity in recent years. Many techniques have been developed to manipulate and clarify …

We consider the ability of CLIP features to support text-driven image retrieval. Traditional
image-based queries sometimes misalign with user intentions due to their focus on …