The impressive performance of deep convolutional neural networks in
sing...
Under mild conditions on the noise level of the measurements, rotation
a...
Image convolutions have been a cornerstone of a great number of deep lea...
Deep learning applied to the reconstruction of 3D shapes has seen growin...
The impressive performance of deep convolutional neural networks in
sing...
In conventional formulations of multilayer feedforward neural networks, ...
Bundle adjustment plays a vital role in feature-based monocular SLAM. In...
Visual localization has become a key enabling component of many place
re...
Existing 3D surface representation approaches are unable to accurately
c...
Star trackers are primarily optical devices that are used to estimate th...
K-Means clustering still plays an important role in many computer vision...
In this paper, we present a new approach to visual servoing for robotics...
Representing 3D shape in deep learning frameworks in an accurate, effici...
Robust parameter estimation in computer vision is frequently accomplishe...
One challenge that remains open in 3D deep learning is how to efficientl...
Maximum consensus estimation plays a critically important role in robust...
3D reconstruction from 2D images is a central problem in computer vision...
In this paper we explore the role of duality principles within the probl...
We generalize Richardson-Lucy (RL) deblurring to 4-D light fields by
rep...
Consider an ill-posed inverse problem of estimating causal factors from
...