7 citations · 11 across the 6 of their papers we have counts for
6 papers
Situation Awareness for Driver-Centric Driving Style Adaptation
Johann Haselberger, Bonifaz Stuhr, Bernhard Schick +1
There is evidence that the driving style of an autonomous vehicle is important to increase the acceptance and trust of the passengers. The driving situation has been found to have…
Towards Unsupervised Representation Learning: Learning, Evaluating and Transferring Visual Representations
Bonifaz Stuhr
Unsupervised representation learning aims at finding methods that learn representations from data without annotation-based signals. Abstaining from annotations not only leads to ec…
Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translation
Bonifaz Stuhr, Jürgen Brauer, Bernhard Schick +1
A common goal of unpaired image-to-image translation is to preserve content consistency between source images and translated images while mimicking the style of the target domain.…
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains
Julian Gebele, Bonifaz Stuhr, Johann Haselberger
Unsupervised Domain Adaptation demonstrates great potential to mitigate domain shifts by transferring models from labeled source domains to unlabeled target domains. While Unsuperv…
Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning
Bonifaz Stuhr, Jürgen Brauer
Finding general evaluation metrics for unsupervised representation learning techniques is a challenging open research question, which recently has become more and more necessary du…
CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning
Bonifaz Stuhr, Jürgen Brauer
This work combines Convolutional Neural Networks (CNNs), clustering via Self-Organizing Maps (SOMs) and Hebbian Learning to propose the building blocks of Convolutional Self-Organi…