Nico M. Schmidt

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 19

Top Topics

Semantic Segmentation

Top Venues

Publications

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)
Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk
Augmentation-based Domain Generalization for Semantic Segmentation. CoRR (2023)
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 (2023)
Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk
Augmentation-based Domain Generalization for Semantic Segmentation. IV (2023)
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 (2023)
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 (2023)
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 (2021)
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)
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)
Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CoRR (2020)
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 (2020)
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)
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)
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)
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)
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 (2019)
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)
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 (2019)
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)
Nico M. Schmidt, Matthias Baumgartner, Rolf Pfeifer
Actor-critic design using echo state networks in a simulated quadruped robot. IROS (2014)
Kohei Nakajima, Nico M. Schmidt, Rolf Pfeifer
Measuring information transfer in a soft robotic arm. CoRR (2014)
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)
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)
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)
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)