Publications

Thaddäus Wiedemer, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel (2023). Provable Compositional Generalization for Object-Centric Learning. ICLR 2024 (Oral).

Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel (2023). Compositional Generalization from First Principles. NeurIPS 2023.

Thaddäus Wiedemer, Stefan Wolf, Arne Schumann, Kaisheng Ma, Jürgen Beyerer (2022). Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images. CVPR 2022 Workshop.

Jörg Wagner, Jan Mathias Kohler, Tobias Gindele, Leon Hetzel, Thaddäus Wiedemer, Sven Behnke (2019). Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks. CVPR 2019.