| Universal adversarial perturbations against semantic image segmentation J Hendrik Metzen, M Chaithanya Kumar, T Brox, V Fischer Proceedings of the IEEE international conference on computer vision, 2755-2764, 2017 | 331 | 2017 |
| Self: Learning to filter noisy labels with self-ensembling DT Nguyen, CK Mummadi, TPN Ngo, THP Nguyen, L Beggel, T Brox arXiv preprint arXiv:1910.01842, 2019 | 312 | 2019 |
| Deepusps: Deep robust unsupervised saliency prediction via self-supervision T Nguyen, M Dax, CK Mummadi, N Ngo, THP Nguyen, Z Lou, T Brox Advances in Neural Information Processing Systems 32, 2019 | 138 | 2019 |
| Adversarial examples for semantic image segmentation V Fischer, MC Kumar, JH Metzen, T Brox arXiv preprint arXiv:1703.01101, 2017 | 134 | 2017 |
| Real-time and embedded detection of hand gestures with an IMU-based glove CK Mummadi, F Philips Peter Leo, K Deep Verma, S Kasireddy, ... Informatics 5 (2), 28, 2018 | 79 | 2018 |
| Defending against universal perturbations with shared adversarial training CK Mummadi, T Brox, JH Metzen Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 62 | 2019 |
| Test-time adaptation to distribution shift by confidence maximization and input transformation CK Mummadi, R Hutmacher, K Rambach, E Levinkov, T Brox, JH Metzen arXiv preprint arXiv:2106.14999, 2021 | 49 | 2021 |
| Does enhanced shape bias improve neural network robustness to common corruptions? CK Mummadi, R Subramaniam, R Hutmacher, J Vitay, V Fischer, ... arXiv preprint arXiv:2104.09789, 2021 | 32 | 2021 |
| Give me your attention: Dot-product attention considered harmful for adversarial patch robustness G Lovisotto, N Finnie, M Munoz, CK Mummadi, JH Metzen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 28 | 2022 |
| Real-time embedded recognition of sign language alphabet fingerspelling in an imu-based glove CK Mummadi, FPP Leo, KD Verma, S Kasireddy, PM Scholl, ... Proceedings of the 4th international Workshop on Sensor-based Activity …, 2017 | 28 | 2017 |
| Method and device for improving the robustness against “adversarial examples” CK Mummadi, JH Metzen, V Fischer US Patent 11,055,632, 2021 | 25 | 2021 |
| Diagvib-6: A diagnostic benchmark suite for vision models in the presence of shortcut and generalization opportunities E Eulig, P Saranrittichai, CK Mummadi, K Rambach, W Beluch, X Shi, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 7 | 2021 |
| Group Pruning Using a Bounded- Norm for Group Gating and Regularization CK Mummadi, T Genewein, D Zhang, T Brox, V Fischer German Conference on Pattern Recognition, 139-155, 2019 | 7 | 2019 |
| More context, less distraction: Visual classification by inferring and conditioning on contextual attributes B An, S Zhu, MA Panaitescu-Liess, CK Mummadi, F Huang arXiv preprint arXiv:2308.01313, 2023 | 6 | 2023 |
| Overcoming shortcut learning in a target domain by generalizing basic visual factors from a source domain P Saranrittichai, CK Mummadi, C Blaiotta, M Munoz, V Fischer European Conference on Computer Vision, 294-309, 2022 | 5 | 2022 |
| Multi-attribute open set recognition P Saranrittichai, CK Mummadi, C Blaiotta, M Munoz, V Fischer DAGM German Conference on Pattern Recognition, 101-115, 2022 | 4 | 2022 |
| Text-driven Prompt Generation for Vision-Language Models in Federated Learning C Qiu, X Li, CK Mummadi, MR Ganesh, Z Li, L Peng, WY Lin arXiv preprint arXiv:2310.06123, 2023 | 2 | 2023 |
| AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models JH Metzen, P Saranrittichai, CK Mummadi arXiv preprint arXiv:2309.16414, 2023 | 1 | 2023 |
| More context, less distraction: Improving zero-shot inference of clip by inferring and describing spurious features B An, S Zhu, MA Panaitescu-Liess, CK Mummadi, F Huang Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023 | 1 | 2023 |
| Data-based updating of the training of classifier networks CK Mummadi, JH Metzen, K Rambach, R Hutmacher US Patent 11,947,625, 2024 | | 2024 |
Jan Hendrik MetzenBosch Center for Artificial IntelligenceVerified email at de.bosch.com
