Gestures form an important medium of communication between humans and
ma...
We propose a keypoint-based object-level SLAM framework that can provide...
A well-known challenge in applying deep-learning methods to omnidirectio...
Graphs are a ubiquitous data structure to model processes and relations ...
Omnidirectional 3D information is essential for a wide range of applicat...
The interpretation of deep neural networks (DNNs) has become a key topic...
Recent progress in network-based audio event classification has shown th...
We propose a measure to compute class similarity in large-scale
classifi...
Unsupervised domain adaptation studies the problem of utilizing a releva...
An abstract must not change the meaning of the original text. A single m...
One of the major challenges in machine learning nowadays is to provide
p...
Dimensionality reduction (DR) methods are commonly used for analyzing an...
Convolutional Neural Networks (CNNs) currently achieve state-of-the-art
...
Face alignment has witnessed substantial progress in the last decade. On...