3 accepted papers
"In recent years, deep generative models have developed rapidly and can generate high-quality images based on input texts. Assessing the quality of synthetic images in a way consistent with human preferences is critical for both generative model evaluation and preferred image selection. Previous wor…
Compared with the image-based static facial expression recognition (SFER) task, the dynamic facial expression recognition (DFER) task based on video sequences is closer to the natural expression recognition scene. However, DFER is often more challenging. One of the main reasons is that video sequenc…
Deep learning models have been found with a tendency of relying on shortcuts, i.e., decision rules that perform well on standard benchmarks but fail when transferred to more challenging testing conditions. Such reliance may hinder deep learning models from learning other task-related features and se…