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ORCIDBonifaz Stuhr
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2020 – today
- 2024
[i6]Johann Haselberger, Bonifaz Stuhr, Bernhard Schick, Steffen Müller:
Situation Awareness for Driver-Centric Driving Style Adaptation. CoRR abs/2403.19595 (2024)- 2023
- [i5]Bonifaz Stuhr, Jürgen Brauer, Bernhard Schick, Jordi Gonzàlez:
Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translation. CoRR abs/2309.13188 (2023) - [i4]Bonifaz Stuhr:
Towards Unsupervised Representation Learning: Learning, Evaluating and Transferring Visual Representations. CoRR abs/2312.00101 (2023) - 2022
- [j1]Bonifaz Stuhr
, Jürgen Brauer:
Don't miss the mismatch: investigating the objective function mismatch for unsupervised representation learning. Neural Comput. Appl. 34(13): 11109-11121 (2022) - [c2]Bonifaz Stuhr, Johann Haselberger, Julian Gebele:
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains. NeurIPS 2022 - [i3]Julian Gebele, Bonifaz Stuhr, Johann Haselberger:
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains. CoRR abs/2206.08083 (2022) - 2020
- [i2]Bonifaz Stuhr, Jürgen Brauer:
CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning. CoRR abs/2001.10388 (2020) - [i1]Bonifaz Stuhr, Jürgen Brauer:
Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning. CoRR abs/2009.02383 (2020)
2010 – 2019
- 2019
- [c1]Bonifaz Stuhr, Jürgen Brauer:
CSNNs: Unsupervised, Backpropagation-Free Convolutional Neural Networks for Representation Learning. ICMLA 2019: 1613-1620
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