Karg, Michelle

8 publications

UAI 2024 Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection Moussa Kassem-Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak

ECML-PKDD 2023 Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-Linear Post-Processing and Calibration Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak

ICCV 2023 Plausible Uncertainties for Human Pose Regression Lennart Bramlage, Michelle Karg, Cristóbal Curio

CVPR 2020 Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

CVPRW 2019 SANE: Exploring Adversarial Robustness with Stochastically Activated Network Ensembles Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

CVPRW 2019 SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg

ECCVW 2018 Distant Vehicle Detection: How Well Can Region Proposal Networks Cope with Tiny Objects at Low Resolution? Ann-Katrin Fattal, Michelle Karg, Christian Scharfenberger, Jürgen Adamy

ICCVW 2017 Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks M. J. Shafiee, Elnaz Barshan, Francis Li, Brendan Chwyl, Michelle Karg, Christian Scharfenberger, Alexander Wong