Maximilian Augustin

17 papers A* 4Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
DASH: Detection and Assessment of Systematic Hallucinations of VLMs.
CoRR
Maximilian Augustin, Yannic Neuhaus, Matthias Hein
2025 — conf
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers.
CVPR Workshops
Maximilian Augustin, Syed Shakib Sarwar, Mostafa Elhoushi, Yuecheng Li, Sai Qian Zhang, Barbara De Salvo
2024 A* conf
DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactual Explanations.
CVPR
Maximilian Augustin, Yannic Neuhaus, Matthias Hein
2024 J jnl
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context.
CoRR
Maximilian Augustin, Syed Shakib Sarwar, Mostafa Elhoushi, Sai Qian Zhang, Yuecheng Li, Barbara De Salvo
2023 J jnl
Analyzing and Explaining Image Classifiers via Diffusion Guidance.
CoRR
Maximilian Augustin, Yannic Neuhaus, Matthias Hein
2023 A* conf
Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet.
ICCV
Yannic Neuhaus, Maximilian Augustin, Valentyn Boreiko, Matthias Hein
2022 A* conf
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities.
ICML
Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein
2022 J jnl
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities.
CoRR
Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein
2022 A* conf
Diffusion Visual Counterfactual Explanations.
NeurIPS
Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein
2022 J jnl
Diffusion Visual Counterfactual Explanations.
CoRR
Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein
2022 — conf
Sparse Visual Counterfactual Explanations in Image Space.
GCPR
Valentyn Boreiko, Maximilian Augustin, Francesco Croce, Philipp Berens, Matthias Hein
2022 J jnl
Sparse Visual Counterfactual Explanations in Image Space.
CoRR
Valentyn Boreiko, Maximilian Augustin, Francesco Croce, Philipp Berens, Matthias Hein
2022 J jnl
Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet.
CoRR
Yannic Neuhaus, Maximilian Augustin, Valentyn Boreiko, Matthias Hein
2021 — conf
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service.
CVPR Workshops
Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz
2020 — conf
Adversarial Robustness on In- and Out-Distribution Improves Explainability.
ECCV (26)
Maximilian Augustin, Alexander Meinke, Matthias Hein
2020 J jnl
Adversarial Robustness on In- and Out-Distribution Improves Explainability.
CoRR
Maximilian Augustin, Alexander Meinke, Matthias Hein
2020 J jnl
Out-distribution aware Self-training in an Open World Setting.
CoRR
Maximilian Augustin, Matthias Hein