In this paper, we introduce a realistic and challenging domain adaptatio...
3D shape completion from point clouds is a challenging task, especially ...
Being data-driven is one of the most iconic properties of deep learning
...
Semi-supervised domain adaptation (SSDA) aims to apply knowledge learned...
Semantic segmentation of point cloud usually relies on dense annotation ...
We introduce FPConv, a novel surface-style convolution operator designed...
Visual tracking is fragile in some difficult scenarios, for instance,
ap...
Diabetic retinopathy is the most important complication of diabetes. Ear...