Multi-view (or-modality) representation learning aims to understand the relationships
between different view representations. Existing methods disentangle multi-view …

This paper aims to resolve the challenging problem of wide-angle novel view synthesis from
a single image, aka wide-angle 3D photography. Existing approaches rely on local context …

Dance, as an art form, fundamentally hinges on the precise synchronization with musical
beats. However, achieving aesthetically pleasing dance sequences from music is …

We introduce the Self-Exemplar Illumination Equalization Network, designed specifically for
effective portrait shadow removal. The core idea of our method is that partially shadowed …

Single-stage detectors have drawbacks of insufficient accuracy and poor coverage
capability. YOLOF (You Only Look One-level Feature) has achieved better performance in …

Lumbar disc herniation, as one of the most common spinal degeneration diseases,
significantly affects the quality of people's lives. Effective identification and diagnosis of this …

Recently, deformable convolutional neural network is commonly used in computer vision
tasks, achieving remarkable results. The existing method DCNv3, focuses more on …