CSNNs: Unsupervised, Backpropagation-Free Convolutional Neural Networks for Representation Learning. - Bonifaz Stuhr; Jürgen Brauer (ICMLA, 2019)

CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains. - Bonifaz Stuhr; Johann Haselberger; Julian Gebele (NeurIPS, 2022)

Don't miss the mismatch: investigating the objective function mismatch for unsupervised representation learning. - Bonifaz Stuhr; Jürgen Brauer (Neural Comput. Appl., 2022)

Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translation. - Bonifaz Stuhr; Jürgen Brauer; Bernhard Schick; Jordi Gonzàlez 001 (CoRR, 2023)

Towards Unsupervised Representation Learning: Learning, Evaluating and Transferring Visual Representations. - Bonifaz Stuhr (CoRR, 2023)

Situation Awareness for Driver-Centric Driving Style Adaptation. - Johann Haselberger; Bonifaz Stuhr; Bernhard Schick; Steffen Müller 002 (IEEE Trans. Intell. Veh., 2025)