We address semantic segmentation on omnidirectional images, to leverage a holistic
understanding of the surrounding scene for applications like autonomous driving systems …

High-resolution wide-angle fisheye images are becoming more and more important for
robotics applications such as autonomous driving. However using ordinary convolutional …

Fisheye Images have attracted increasing attention from the research community due to their
large field of view (LFOV). However, the geometric transformations inherent in fisheye …

Spherical cameras and the latest image processing techniques open up new horizons. In
particular, methods based on Convolutional Neural Networks (CNNs) now give excellent …

As an important and challenging problem in computer vision, PAnoramic Semantic
Segmentation (PASS) gives complete scene perception based on an ultra-wide angle of …

360° cameras offer the possibility to cover a large area, for example an entire room, without
using multiple distributed vision sensors. However, geometric distortions introduced by their …

Beamforming is a technique which can adaptively steer the pattern of a microphone array
towards or away from a target direction. Three conventional beamforming techniques are …

Convolutional neural networks (CNNs) are powerful tools in Deep Learning mainly due to
their ability to exploit the translational symmetry present in images, as they are equivariant to …

Convolutional neural networks (CNNs) are powerful tools in Deep Learning mainly due to
their ability to exploit the translational symmetry present in images, as they are equivariant to …