Nico M. Schmidt

According to our database, Nico M. Schmidt authored at least 18 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation.

Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving.

Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt

IEEE Access, 2023

Augmentation-based Domain Generalization for Semantic Segmentation.

Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2021

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis.

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

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer.

Jan-Aike Termöhlen, Marvin Klingner, Leon J. Brettin, Nico M. Schmidt, Tim Fingscheidt

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Focussing Learned Image Compression to Semantic Classes for V2X Applications.

Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving.

Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico M. Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised Domain Mismatch Estimation for Autonomous Perception.

Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs.

Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt

Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020

2019

GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation.

Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt

CoRR, 2019

On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation.

Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks.

Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2014

Measuring information transfer in a soft robotic arm.

Kohei Nakajima, Nico M. Schmidt, Rolf Pfeifer

CoRR, 2014

Actor-critic design using echo state networks in a simulated quadruped robot.

Nico M. Schmidt, Matthias Baumgartner, Rolf Pfeifer

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013

Saccadic Momentum and Facilitation of Return Saccades Contribute to an Optimal Foraging Strategy.

Niklas Wilming, Simon Harst, Nico M. Schmidt, Peter König

PLoS Comput. Biol., 2013

Bootstrapping Perception using Information Theory: Case Studies in a quadruped Robot Running on Different grounds.

Nico M. Schmidt, Matej Hoffmann, Kohei Nakajima, Rolf Pfeifer

Adv. Complex Syst., 2013

2012

Learning and Adaptation of Sensorimotor Contingencies: Prism-Adaptation, a Case Study.

Gert Kootstra, Niklas Wilming, Nico M. Schmidt, Mikael Djurfeldt, Danica Kragic, Peter König

Proceedings of the From Animals to Animats 12, 2012

Using Sensorimotor Contingencies for Terrain Discrimination and Adaptive Walking Behavior in the Quadruped Robot Puppy.

Matej Hoffmann, Nico M. Schmidt, Rolf Pfeifer, Andreas K. Engel, Alexander Maye

Proceedings of the From Animals to Animats 12, 2012