Nico M. Schmidt

25 papers A 2C 3Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2024 A conf
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation.
WACV
Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt
2023 C conf
Augmentation-based Domain Generalization for Semantic Segmentation.
IV
Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk
2023 J jnl
Augmentation-based Domain Generalization for Semantic Segmentation.
CoRR
Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk
2023 J jnl
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation.
CoRR
Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt
2023 J jnl
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving.
IEEE Access
Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
2023 J jnl
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving.
CoRR
Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
2021 — conf
Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer.
ITSC
Jan-Aike Termöhlen, Marvin Klingner, Leon J. Brettin, Nico M. Schmidt, Tim Fingscheidt
2021 — conf
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis.
IV Workshops
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
2021 J jnl
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis.
CoRR
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
2020 — conf
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs.
CSCS
Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt
2020 J jnl
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs.
CoRR
Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt
2020 C conf
Focussing Learned Image Compression to Semantic Classes for V2X Applications.
IV
Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
2020 — conf
Self-Supervised Domain Mismatch Estimation for Autonomous Perception.
CVPR Workshops
Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt
2020 J jnl
Self-Supervised Domain Mismatch Estimation for Autonomous Perception.
CoRR
Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt
2020 — conf
Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving.
CVPR Workshops
Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico M. Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt
2019 J jnl
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation.
CoRR
Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
2019 C conf
On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation.
IV
Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
2019 — conf
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks.
CVPR Workshops
Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed
2019 J jnl
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks.
CoRR
Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed
2014 A conf
Actor-critic design using echo state networks in a simulated quadruped robot.
IROS
Nico M. Schmidt, Matthias Baumgartner, Rolf Pfeifer
2014 J jnl
Measuring information transfer in a soft robotic arm.
CoRR
Kohei Nakajima, Nico M. Schmidt, Rolf Pfeifer
2013 J jnl
Bootstrapping Perception using Information Theory: Case Studies in a quadruped Robot Running on Different grounds.
Adv. Complex Syst.
Nico M. Schmidt, Matej Hoffmann, Kohei Nakajima, Rolf Pfeifer
2013 J jnl
Saccadic Momentum and Facilitation of Return Saccades Contribute to an Optimal Foraging Strategy.
PLoS Comput. Biol.
Niklas Wilming, Simon Harst, Nico M. Schmidt, Peter König
2012 — conf
Learning and Adaptation of Sensorimotor Contingencies: Prism-Adaptation, a Case Study.
SAB
Gert Kootstra, Niklas Wilming, Nico M. Schmidt, Mikael Djurfeldt, Danica Kragic, Peter König
2012 — conf
Using Sensorimotor Contingencies for Terrain Discrimination and Adaptive Walking Behavior in the Quadruped Robot Puppy.
SAB
Matej Hoffmann, Nico M. Schmidt, Rolf Pfeifer, Andreas K. Engel, Alexander Maye