1 code implementation • 29 Nov 2023 • Thomas Wimmer, Peter Wonka, Maks Ovsjanikov
In this work, we propose to explore foundation models for the task of keypoint detection on 3D shapes.
1 code implementation • 22 May 2023 • Miriam Anschütz, Joshua Oehms, Thomas Wimmer, Bartłomiej Jezierski, Georg Groh
Moreover, with the style-specific pre-training, we reduced the number of trainable parameters in text simplification models.
no code implementations • 12 May 2023 • Hoai Nam Dang, Vladimir Golkov, Thomas Wimmer, Daniel Cremers, Andreas Maier, Moritz Zaiss
The found radiofrequency pulse train designs generate an optimal signal for the NN to perform the SR task.
1 code implementation • 12 Apr 2023 • Thomas Wimmer, Vladimir Golkov, Hoai Nam Dang, Moritz Zaiss, Andreas Maier, Daniel Cremers
The ability of convolutional neural networks (CNNs) to recognize objects regardless of their position in the image is due to the translation-equivariance of the convolutional operation.