With the increasing ubiquity of cameras and smart sensors, humanity is
g...
Interactive volume segmentation can be approached via two decoupled modu...
To date, little attention has been given to multi-view 3D human mesh
est...
Federated Learning (FL) is a machine learning paradigm where many local ...
Knowing the 3D motions in a dynamic scene is essential to many vision
ap...
Fully supervised human mesh recovery methods are data-hungry and have po...
The goal of click-based interactive image segmentation is to obtain prec...
Gradient-based algorithms are crucial to modern computer-vision and grap...
Machine vision for precision agriculture has attracted considerable rese...
In this paper, we address the problem of 3D object instance recognition ...
We present a method to incrementally generate complete 2D or 3D scenes w...
While convolutional neural networks are dominating the field of computer...
With the increasing availability of large databases of 3D CAD models,
de...
Recent progress in computer vision has been dominated by deep neural net...