Compound facial expressions involve combinations of basic emotions, posing challenges to
automatic facial expression recognition research. The focus of existing studies in facial …

Image warping a classic task in computer vision aims to use geometric transformations to
change the appearance of images. Recent methods learn the resampling kernels for …

Two obstacles, the scarcity of annotated samples and the difficulty in preserving multi-scale
hierarchical representations, hinder the advancement of vision Transformer-based aerial …

Recent image restoration methods can be broadly categorized into two classes:(1)
regression methods that recover the rough structure of the original image without …

With the widespread application of optimal transport (OT), its calculation becomes essential,
and various algorithms have emerged. However, the existing methods either have low …

Ultrasound volume projection imaging has shown great promise to visualize spine features
and diagnose scoliosis thanks to its harmlessness, cheapness, and efficiency. The key to …

Blind image restoration remains a significant challenge in low-level vision tasks. Recently,
denoising diffusion models have shown remarkable performance in image synthesis …

The cross-entropy (CE) loss is arguably the most important empirical risk minimization
objective for deep discriminative models for classification, and has achieved notable …

Facial Emotion acts as a difficult understanding for a human being or machine to process the
real meaning. If we didn't approach the way it, is we will face greater consequences in this AI …

Modern marine research requires high-precision three-dimensional (3D) underwater data.
Underwater environments experience severe visible light attenuation, which leads to inferior …