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This work tackles the challenging task of achieving real-time novel view synthesis for reflective surfaces across various scenes. Existing real-time rendering methods, especially those based on meshes, often have subpar performance in modeling ...

Skin lesion segmentation is an important step for automatic melanoma diagnosis. Due to the non-negligible diversity of lesions from different patients, extracting powerful context for fine-grained semantic segmentation is still ...

• Propose a cascaded context enhancement neural network for skin lesion segmentation.

While graph neural networks (GNNs) have shown great potential in various graph-related tasks, their lack of transparency has hindered our understanding of how they arrive at their predictions. The fidelity to the local decision ...

Melanoma is one of the most common human lethal cancers. Because the lesions have different shapes, sizes, colors, and low contrast, extracting powerful features for fine-grained skin lesion segmentation is still a challenging task today. In this paper, ...