While 3D object detection in LiDAR point clouds is well-established in
a...
Objective: Surveillance imaging of chronic aortic diseases, such as
diss...
We present a novel 3D pose refinement approach based on differentiable
r...
To make Robotics and Augmented Reality applications robust to illuminati...
In this paper a neural network is trained to perform simple arithmetic u...
Deep neural networks paved the way for significant improvements in image...
We propose a novel method to efficiently estimate the spatial layout of ...
We present Location Field Descriptors, a novel approach for single image...
We present a joint 3D pose and focal length estimation approach for obje...
We present an approach for fully automatic urinary bladder segmentation ...
Deep Neural Networks have been shown to be beneficial for a variety of t...
We propose a scalable, efficient and accurate approach to retrieve 3D mo...
Digital pathology is not only one of the most promising fields of diagno...