Chaithanya Kumar Mummadi
Chaithanya Kumar Mummadi
Research Engineer, Bosch Cener for Artificial Intelligence, Robert Bosch GmbH, Germany
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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
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
Adversarial examples for semantic image segmentation
V Fischer, MC Kumar, JH Metzen, T Brox
arXiv preprint arXiv:1703.01101, 2017
Deepusps: Deep robust unsupervised saliency prediction with self-supervision
DT Nguyen, M Dax, CK Mummadi, TPN Ngo, THP Nguyen, Z Lou, T Brox
arXiv preprint arXiv:1909.13055, 2019
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
Real-time and embedded detection of hand gestures with an IMU-based glove
CK Mummadi, FPP Leo, KD Verma, S Kasireddy, PM Scholl, J Kempfle, ...
Informatics 5 (2), 28, 2018
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
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
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
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, ...
arXiv preprint arXiv:2108.05779, 2021
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
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