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2020 – today
- 2024
[c13]Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt:
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. WACV 2024: 2818-2828- 2023
- [j3]Manuel Schwonberg
, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt:
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. IEEE Access 11: 54296-54336 (2023) - [c12]Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk:
Augmentation-based Domain Generalization for Semantic Segmentation. IV 2023: 1-8 - [i9]Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt:
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. CoRR abs/2304.11928 (2023) - [i8]Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk:
Augmentation-based Domain Generalization for Semantic Segmentation. CoRR abs/2304.12122 (2023) - [i7]Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt:
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. CoRR abs/2312.01850 (2023) - 2021
- [c11]Jan-Aike Termöhlen, Marvin Klingner, Leon J. Brettin, Nico M. Schmidt, Tim Fingscheidt:
Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer. ITSC 2021: 2881-2888 - [c10]Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz:
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. IV Workshops 2021: 182-189 - [i6]Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz:
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. CoRR abs/2106.05549 (2021) - 2020
- [c9]Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt:
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. CSCS 2020: 3:1-3:8 - [c8]Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt:
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CVPR Workshops 2020: 1359-1368 - [c7]Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico M. Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt:
Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving. CVPR Workshops 2020: 1369-1378 - [c6]Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
Focussing Learned Image Compression to Semantic Classes for V2X Applications. IV 2020: 1641-1648 - [i5]Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt:
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CoRR abs/2006.08613 (2020) - [i4]Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt:
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. CoRR abs/2012.01386 (2020)
2010 – 2019
- 2019
- [c5]Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed:
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks. CVPR Workshops 2019: 1370-1379 - [c4]Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. IV 2019: 424-431 - [i3]Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. CoRR abs/1902.04311 (2019) - [i2]Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed:
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks. CoRR abs/1906.07077 (2019) - 2014
- [c3]Nico M. Schmidt, Matthias Baumgartner, Rolf Pfeifer:
Actor-critic design using echo state networks in a simulated quadruped robot. IROS 2014: 2224-2229 - [i1]Kohei Nakajima, Nico M. Schmidt, Rolf Pfeifer:
Measuring information transfer in a soft robotic arm. CoRR abs/1407.4162 (2014) - 2013
- [j2]Nico M. Schmidt, Matej Hoffmann, Kohei Nakajima, Rolf Pfeifer:
Bootstrapping Perception using Information Theory: Case Studies in a quadruped Robot Running on Different grounds. Adv. Complex Syst. 16(2-3) (2013) - [j1]Niklas Wilming, Simon Harst, Nico M. Schmidt, Peter König:
Saccadic Momentum and Facilitation of Return Saccades Contribute to an Optimal Foraging Strategy. PLoS Comput. Biol. 9(1) (2013) - 2012
- [c2]Matej Hoffmann, Nico M. Schmidt, Rolf Pfeifer, Andreas K. Engel, Alexander Maye:
Using Sensorimotor Contingencies for Terrain Discrimination and Adaptive Walking Behavior in the Quadruped Robot Puppy. SAB 2012: 54-64 - [c1]Gert Kootstra, Niklas Wilming, Nico M. Schmidt, Mikael Djurfeldt, Danica Kragic, Peter König:
Learning and Adaptation of Sensorimotor Contingencies: Prism-Adaptation, a Case Study. SAB 2012: 341-350
Coauthor Index
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