Augustin, Maximilian

8 publications

ICCV 2025 DASH: Detection and Assessment of Systematic Hallucinations of VLMs Maximilian Augustin, Yannic Neuhaus, Matthias Hein

CVPRW 2025 PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers Maximilian Augustin, Syed Shakib Sarwar, Mostafa Elhoushi, Yuecheng Li, Sai Qian Zhang, Barbara De Salvo

CVPR 2024 DiG-in: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations Maximilian Augustin, Yannic Neuhaus, Matthias Hein

ICCV 2023 Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet Yannic Neuhaus, Maximilian Augustin, Valentyn Boreiko, Matthias Hein

ICML 2022 Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein

NeurIPS 2022 Diffusion Visual Counterfactual Explanations Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein

CVPRW 2021 MLCapsule: Guarded Offline Deployment of Machine Learning as a Service Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz

ECCV 2020 Adversarial Robustness on In- and Out-Distribution Improves Explainability Maximilian Augustin, Alexander Meinke, Matthias Hein