Digital topology and geometry refers to the use of topologic and geometric properties and
features for images defined in digital grids. Such methods have been widely used in many …

Numerical computation of shortest paths or geodesics on curved domains, as well as the
associated geodesic distance, arises in a broad range of applications across digital …

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Invariance to geometric transformations is a highly desirable property of automatic classifiers
in many image recognition tasks. Nevertheless, it is unclear to which extent state-of-the-art …

A common assumption in generative models is that the generator immerses the latent space
into a Euclidean ambient space. Instead, we consider the ambient space to be a …

Segmenting images into superpixels as supporting regions for feature vectors and primitives
to reduce computational complexity has been commonly used as a fundamental step in …

This letter presents a semi-automatic approach to delineating road networks from very high
resolution satellite images. The proposed method consists of three main steps. First, the …

We present a PDE-based framework that generalizes Group equivariant Convolutional
Neural Networks (G-CNNs). In this framework, a network layer is seen as a set of PDE …

To achieve successful field autonomy, mobile robots need to freely adapt to changes in their
environment. Visual navigation systems such as Visual Teach and Repeat (VT&R) often …

Pedestrian detection in thermal infrared images poses unique challenges because of the
low resolution and noisy nature of the image. Here, we propose a mid-level attribute in the …