| Fast axiomatic attribution for neural networks R Hesse, S Schaub-Meyer, S Roth Advances in Neural Information Processing Systems 34, 19513-19524, 2021 | 33 | 2021 |
| FunnyBirds: A synthetic vision dataset for a part-based analysis of explainable AI methods R Hesse, S Schaub-Meyer, S Roth Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 16 | 2023 |
| Content-adaptive downsampling in convolutional neural networks R Hesse, S Schaub-Meyer, S Roth Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Efficient Verification of Program Fragments: Eager POR P Metzler, H Saissi, P Bokor, R Hesse, N Suri International Symposium on Automated Technology for Verification and …, 2016 | 4 | 2016 |
| Benchmarking the Attribution Quality of Vision Models R Hesse, S Schaub-Meyer, S Roth arXiv preprint arXiv:2407.11910, 2024 | | 2024 |
| Homography Estimation in the Realm of Deep Learning R Hesse Technical University of Darmstadt, 2020 | | 2020 |
| Development and Evaluation of 3D Autoencoders for Feature Extraction R Hesse Technical University of Darmstadt, 2017 | | 2017 |
Stefan RothProfessor of Computer Science, TU DarmstadtVerified email at visinf.tu-darmstadt.de
