Keuper, Janis

21 publications

TMLR 2026 mSOP-765k: A Benchmark for Multi-Modal Structured Output Predictions Bianca Lamm, Janis Keuper

CVPRW 2025 A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification Bianca Lamm, Janis Keuper

ICLR 2025 Can We Talk Models into Seeing the World Differently? Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper

CVPR 2025 PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations? Martin Spitznagel, Jan Vaillant, Janis Keuper

TMLR 2024 As Large as It Gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters Julia Grabinski, Janis Keuper, Margret Keuper

CVPR 2024 Can Biases in ImageNet Models Explain Generalization? Paul Gavrikov, Janis Keuper

ECCVW 2024 Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets Patrick Grommelt, Louis Weiss, Franz-Josef Pfreundt, Janis Keuper

NeurIPSW 2024 How Do Training Methods Influence the Utilization of Vision Models? Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper

ECCVW 2024 Top-GAP: Integrating Size Priors in CNNs for More Interpretability, Robustness, and Bias Mitigation Lars Nieradzik, Henrike Stephani, Janis Keuper

CVPRW 2023 An Extended Study of Human-like Behavior Under Adversarial Training Paul Gavrikov, Janis Keuper, Margret Keuper

ICCVW 2023 Detecting Images Generated by Deep Diffusion Models Using Their Local Intrinsic Dimensionality Peter Lorenz, Ricard L. Durall, Janis Keuper

TMLR 2023 Improving Native CNN Robustness with Filter Frequency Regularization Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper

ICCVW 2023 On the Interplay of Convolutional Padding and Adversarial Robustness Paul Gavrikov, Janis Keuper

CVPRW 2022 Adversarial Robustness Through the Lens of Convolutional Filters Paul Gavrikov, Janis Keuper

MLJ 2022 Aliasing and Adversarial Robust Generalization of CNNs Julia Grabinski, Janis Keuper, Margret Keuper

CVPR 2022 CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov, Janis Keuper

ECCV 2022 FrequencyLowCut Pooling – Plug & Play Against Catastrophic Overfitting Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper

NeurIPS 2022 Robust Models Are Less Over-Confident Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper

NeurIPSW 2021 An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters Paul Gavrikov, Janis Keuper

ICMLW 2021 Detecting AutoAttack Perturbations in the Frequency Domain Peter Lorenz, Paula Harder, Dominik Straßel, Margret Keuper, Janis Keuper

NeurIPSW 2021 Investigating Shifts in GAN Output-Distributions Ricard Durall, Janis Keuper