Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Schmidt, Nico M."'
Autor:
Niemeijer, Joshua, Schwonberg, Manuel, Termöhlen, Jan-Aike, Schmidt, Nico M., Fingscheidt, Tim
When models, e.g., for semantic segmentation, are applied to images that are vastly different from training data, the performance will drop significantly. Domain adaptation methods try to overcome this issue, but need samples from the target domain.
Externí odkaz:
http://arxiv.org/abs/2312.01850
Unsupervised Domain Adaptation (UDA) and domain generalization (DG) are two research areas that aim to tackle the lack of generalization of Deep Neural Networks (DNNs) towards unseen domains. While UDA methods have access to unlabeled target images,
Externí odkaz:
http://arxiv.org/abs/2304.12122
Autor:
Schwonberg, Manuel, Niemeijer, Joshua, Termöhlen, Jan-Aike, Schäfer, Jörg P., Schmidt, Nico M., Gottschalk, Hanno, Fingscheidt, Tim
Deep neural networks (DNNs) have proven their capabilities in many areas in the past years, such as robotics, or automated driving, enabling technological breakthroughs. DNNs play a significant role in environment perception for the challenging appli
Externí odkaz:
http://arxiv.org/abs/2304.11928
Autor:
Rosenzweig, Julia, Brito, Eduardo, Kobialka, Hans-Ulrich, Akila, Maram, Schmidt, Nico M., Schlicht, Peter, Schneider, Jan David, Hüger, Fabian, Rottmann, Matthias, Houben, Sebastian, Wirtz, Tim
Many machine learning applications can benefit from simulated data for systematic validation - in particular if real-life data is difficult to obtain or annotate. However, since simulations are prone to domain shift w.r.t. real-life data, it is cruci
Externí odkaz:
http://arxiv.org/abs/2106.05549
Autor:
Löhdefink, Jonas, Fehrling, Justin, Klingner, Marvin, Hüger, Fabian, Schlicht, Peter, Schmidt, Nico M., Fingscheidt, Tim
Autonomous driving requires self awareness of its perception functions. Technically spoken, this can be realized by observers, which monitor the performance indicators of various perception modules. In this work we choose, exemplarily, a semantic seg
Externí odkaz:
http://arxiv.org/abs/2006.08613
Autor:
Löhdefink, Jonas, Bär, Andreas, Schmidt, Nico M., Hüger, Fabian, Schlicht, Peter, Fingscheidt, Tim
The high amount of sensors required for autonomous driving poses enormous challenges on the capacity of automotive bus systems. There is a need to understand tradeoffs between bitrate and perception performance. In this paper, we compare the image co
Externí odkaz:
http://arxiv.org/abs/1902.04311
Publikováno v:
BMC Neuroscience, Vol 13, Iss 1, p 19 (2012)
Abstract Background Increasing the communication speed of brain-computer interfaces (BCIs) is a major aim of current BCI-research. The idea to automatically detect error-related potentials (ErrPs) in order to veto erroneous decisions of a BCI has bee
Externí odkaz:
https://doaj.org/article/2b74b3ec68b64ad3b4cc5754956ff440
Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention
Autor:
Schmidt Nico M, Bahramisharif Ali, Treder Matthias S, van Gerven Marcel AJ, Blankertz Benjamin
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 8, Iss 1, p 24 (2011)
Abstract Background Visual brain-computer interfaces (BCIs) often yield high performance only when targets are fixated with the eyes. Furthermore, many paradigms use intense visual stimulation, which can be irritating especially in long BCI sessions.
Externí odkaz:
https://doaj.org/article/40f01fe172e2499d85e763691463be39