Keuper, Margret

53 publications

ICCV 2025 AIM: Amending Inherent Interpretability via Self-Supervised Masking Eyad Alshami, Shashank Agnihotri, Bernt Schiele, Margret 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

TMLR 2025 Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models Mishal Fatima, Steffen Jung, Margret Keuper

ICML 2025 DCBM: Data-Efficient Visual Concept Bottleneck Models Katharina Prasse, Patrick Knab, Sascha Marton, Christian Bartelt, Margret Keuper

WACV 2025 FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi, Steffen Jung, Margret Keuper

TMLR 2025 FlowBench: Benchmarking Optical Flow Estimation Methods for Reliability and Generalization Shashank Agnihotri, Julian Yuya Caspary, Luca Schwarz, Xinyan Gao, Jenny Schmalfuss, Andres Bruhn, Margret Keuper

WACV 2025 I Spy with My Little Eye a Minimum Cost Multicut Investigation of Dataset Frames Katharina Prasse, Isaac Bravo, Stefanie Walter, Margret Keuper

NeurIPS 2025 MaxSup: Overcoming Representation Collapse in Label Smoothing Yuxuan Zhou, Heng Li, Zhi-Qi Cheng, Xudong Yan, Yifei Dong, Mario Fritz, Margret Keuper

ICCV 2025 TikZero: Zero-Shot Text-Guided Graphics Program Synthesis Jonas Belouadi, Eddy Ilg, Margret Keuper, Hideki Tanaka, Masao Utiyama, Raj Dabre, Steffen Eger, Simone Ponzetto

ICLR 2025 VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis Yumeng Li, William H. Beluch, Margret Keuper, Dan Zhang, Anna Khoreva

ICLR 2024 Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva

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

ICML 2024 CosPGD: An Efficient White-Box Adversarial Attack for Pixel-Wise Prediction Tasks Shashank Agnihotri, Steffen Jung, Margret Keuper

ICMLW 2024 Domain-Aware Fine-Tuning of Foundation Models Uğur Ali Kaplan, Yumeng Li, Margret Keuper, Anna Khoreva, Dan Zhang

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

ICML 2024 Implicit Representations for Constrained Image Segmentation Jan Philipp Schneider, Mishal Fatima, Jovita Lukasik, Andreas Kolb, Margret Keuper, Michael Moeller

ECCV 2024 Improving Feature Stability During Upsampling -- Spectral Artifacts and the Importance of Spatial Context Shashank Agnihotri, Julia Grabinski, Margret Keuper

TMLR 2024 Learning the Essential in Less than 2k Additional Weights - A Simple Approach to Improve Image Classification Stability Under Corruptions Kai Bäuerle, Patrick Müller, Syed Muhammad Kazim, Ivo Ihrke, Margret Keuper

ICML 2024 MultiMax: Sparse and Multi-Modal Attention Learning Yuxuan Zhou, Mario Fritz, Margret Keuper

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

ICCVW 2023 Classification Robustness to Common Optical Aberrations Patrick Müller, Alexander Braun, Margret Keuper

NeurIPSW 2023 Implicit Representations for Image Segmentation Jan Philipp Schneider, Mishal Fatima, Jovita Lukasik, Andreas Kolb, Margret Keuper, Michael Moeller

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

WACV 2023 Intra-Source Style Augmentation for Improved Domain Generalization Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva

ICLR 2023 Neural Architecture Design and Robustness: A Dataset Steffen Jung, Jovita Lukasik, Margret Keuper

ICCVW 2023 On the Unreasonable Vulnerability of Transformers for Image Restoration - And an Easy Fix Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper

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

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

NeurIPSW 2022 Impact of Realistic Properties of the Point Spread Function on Classification Tasks to Reveal a Possible Distribution Shift Patrick Müller, Alexander Braun, Margret Keuper

ECCV 2022 Learning Where to Look – Generative NAS Is Surprisingly Efficient Jovita Lukasik, Steffen Jung, Margret Keuper

ECML-PKDD 2022 Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural Networks Steffen Jung, Margret Keuper

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

ICLR 2022 Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks Arber Zela, Julien Niklas Siems, Lucas Zimmer, Jovita Lukasik, Margret Keuper, Frank Hutter

NeurIPS 2022 Trading Off Image Quality for Robustness Is Not Necessary with Regularized Deterministic Autoencoders Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper

IJCAI 2021 Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis Yang He, Ning Yu, Margret Keuper, Mario Fritz

NeurIPSW 2021 DARTS for Inverse Problems: A Study on Stability Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller

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

NeurIPSW 2021 Internalized Biases in Fréchet Inception Distance Steffen Jung, Margret Keuper

ICCV 2021 Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation Amrutha Saseendran, Kathrin Skubch, Margret Keuper

NeurIPS 2021 Shape Your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper

AAAI 2021 Spectral Distribution Aware Image Generation Steffen Jung, Margret Keuper

UAI 2021 Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation Amirhossein Kardoost, Margret Keuper

ECCV 2018 Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox

CVPR 2017 FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox

ICCV 2017 Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation Margret Keuper

ICCV 2017 ProbFlow: Joint Optical Flow and Uncertainty Estimation Anne S. Wannenwetsch, Margret Keuper, Stefan Roth

CVPR 2017 STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz

ECCV 2016 Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency Margret Keuper, Thomas Brox

ECCVW 2016 Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency Margret Keuper, Thomas Brox

ICCV 2015 Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts Margret Keuper, Evgeny Levinkov, Nicolas Bonneel, Guillaume Lavoue, Thomas Brox, Bjorn Andres

ICCV 2015 Motion Trajectory Segmentation via Minimum Cost Multicuts Margret Keuper, Bjoern Andres, Thomas Brox

CVPR 2014 Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation Fabio Galasso, Margret Keuper, Thomas Brox, Bernt Schiele

CVPR 2013 Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF) Margret Keuper, Thorsten Schmidt, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Olaf Ronneberger, Thomas Brox