A 3D Active Surface Model for the Accurate Segmentation of Drosophila Schneider Cell Nuclei and Nucleoli. - Margret Keuper; Jan Padeken; Patrick Heun; Hans Burkhardt; Olaf Ronneberger (ISVC (1), 2009)

Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation. - Margret Keuper; Robert Bensch; Karsten Voigt; Alexander Dovzhenko; Klaus Palme; Hans Burkhardt; Olaf Ronneberger (DAGM-Symposium, 2010)

Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces. - Margret Keuper; Hans Burkhardt; Olaf Ronneberger; Jan Padeken; Patrick Heun (ICPR, 2010)

3D Deformable Surfaces with Locally Self-Adjusting Parameters - A Robust Method to Determine Cell Nucleus Shapes. - Margret Keuper; Thorsten Schmidt; Jan Padeken; Patrick Heun; Klaus Palme; Hans Burkhardt; Olaf Ronneberger (ICPR, 2010)

Evaluation of a New Point Clouds Registration Method Based on Group Averaging Features. - Maja Temerinac-Ott; Margret Keuper; Hans Burkhardt (ICPR, 2010)

Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings. - Margret Keuper; Thorsten Schmidt; Marta Rodriguez-Franco; Wolfgang Schamel; Thomas Brox; Hans Burkhardt; Olaf Ronneberger (ISBI, 2011)

Modeling of Sparsely Sampled Tubular Surfaces Using Coupled Curves. - Thorsten Schmidt; Margret Keuper; Taras Pasternak; Klaus Palme; Olaf Ronneberger (DAGM/OAGM Symposium, 2012)

Blind deconvolution with PSF regularization for wide-field microscopy. - Margret Keuper; Maja Temerinac-Ott; Jan Padeken; Patrick Heun; Thomas Brox; Hans Burkhardt; Olaf Ronneberger (ISBI, 2012)

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 (CVPR, 2013)

Variational attenuation correction of two-view confocal microscopic recordings. - Thorsten Schmidt; Jasmin Dürr; Margret Keuper; Thomas Blein; Klaus Palme; Olaf Ronneberger (ISBI, 2013)

Variational attenuation correction in two-view confocal microscopy. - Thorsten Schmidt; Jasmin Dürr; Margret Keuper; Thomas Blein; Klaus Palme; Olaf Ronneberger (BMC Bioinform., 2013)

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

Motion Trajectory Segmentation via Minimum Cost Multicuts. - Margret Keuper; Bjoern Andres; Thomas Brox (ICCV, 2015)

Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. - Margret Keuper; Evgeny Levinkov; Nicolas Bonneel; Guillaume Lavoué; Thomas Brox; Bjoern Andres (ICCV, 2015)

Segmentation in Point Clouds from RGB-D Using Spectral Graph Reduction. - Margret Keuper; Thomas Brox (Perspectives in Shape Analysis, 2016)

Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency. - Margret Keuper; Thomas Brox (ECCV Workshops (3), 2016)

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. - Yang He 005; Wei-Chen Chiu; Margret Keuper; Mario Fritz (CoRR, 2016)

A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects. - Margret Keuper; Siyu Tang 001; Zhongjie Yu 001; Bjoern Andres; Thomas Brox; Bernt Schiele (CoRR, 2016)

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. - Yang He 005; Wei-Chen Chiu; Margret Keuper; Mario Fritz (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 (CVPR, 2017)

Learning Dilation Factors for Semantic Segmentation of Street Scenes. - Yang He 005; Margret Keuper; Bernt Schiele; Mario Fritz (GCPR, 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 001 (ICCV, 2017)

Solving Minimum Cost Lifted Multicut Problems by Node Agglomeration. - Amirhossein Kardoost; Margret Keuper (ACCV (4), 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 (ECCV (12), 2018)

Massively Parallel Benders Decomposition for Correlation Clustering. - Margret Keuper; Maneesh Singh 001; Julian Yarkony (CoRR, 2019)

Unmasking DeepFakes with simple Features. - Ricard Durall; Margret Keuper; Franz-Josef Pfreundt; Janis Keuper (CoRR, 2019)

A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction. - David Friede; Jovita Lukasik; Heiner Stuckenschmidt; Margret Keuper (CoRR, 2019)

A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking. - Kalun Ho; Amirhossein Kardoost; Franz-Josef Pfreundt; Janis Keuper; Margret Keuper (ACCV (2), 2020)

Self-supervised Sparse to Dense Motion Segmentation. - Amirhossein Kardoost; Kalun Ho; Peter Ochs; Margret Keuper (ACCV (2), 2020)

Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions. - Ricard Durall; Margret Keuper; Janis Keuper (CVPR, 2020)

Neural Architecture Performance Prediction Using Graph Neural Networks. - Jovita Lukasik; David Friede; Heiner Stuckenschmidt; Margret Keuper (GCPR, 2020)

Unsupervised Bootstrapping of Active Learning for Entity Resolution. - Anna Primpeli; Christian Bizer; Margret Keuper (ESWC, 2020)

Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. - Kalun Ho; Janis Keuper; Franz-Josef Pfreundt; Margret Keuper (ICPR, 2020)

Object Segmentation Tracking from Generic Video Cues. - Amirhossein Kardoost; Sabine Müller 001; Joachim Weickert; Margret Keuper (ICPR, 2020)

A Benders Decomposition Approach to Correlation Clustering. - Jovita Lukasik; Margret Keuper; Maneesh Singh 001; Julian Yarkony (MLHPC/AI4S@SC, 2020)

Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts. - Kalun Ho; Janis Keuper; Margret Keuper (CoRR, 2020)

NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search. - Julien Siems; Lucas Zimmer; Arber Zela; Jovita Lukasik; Margret Keuper; Frank Hutter (CoRR, 2020)

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. - Jovita Lukasik; David Friede; Arber Zela; Heiner Stuckenschmidt; Frank Hutter; Margret Keuper (CoRR, 2020)

Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering. - Margret Keuper; Siyu Tang 001; Bjoern Andres; Thomas Brox; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Spectral Distribution Aware Image Generation. - Steffen Jung 001; Margret Keuper (AAAI, 2021)

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

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. - Yang He 005; Ning Yu 006; Margret Keuper; Mario Fritz (IJCAI, 2021)

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. - Paula Harder; Franz-Josef Pfreundt; Margret Keuper; Janis Keuper (IJCNN, 2021)

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. - Jovita Lukasik; David Friede; Arber Zela; Frank Hutter; Margret Keuper (IJCNN, 2021)

Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders. - Amrutha Saseendran; Kathrin Skubch; Stefan Falkner; Margret Keuper (NeurIPS, 2021)

MSM: Multi-stage Multicuts for Scalable Image Clustering. - Kalun Ho; Avraam Chatzimichailidis; Margret Keuper; Janis Keuper (ISC Workshops, 2021)

Uncertainty in minimum cost multicuts for image and motion segmentation. - Amirhossein Kardoost; Margret Keuper (UAI, 2021)

Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space. - Kalun Ho; Franz-Josef Pfreundt; Janis Keuper; Margret Keuper (CoRR, 2021)

DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity. - Jonas Geiping; Jovita Lukasik; Margret Keuper; Michael Moeller 001 (CoRR, 2021)

Detecting AutoAttack Perturbations in the Frequency Domain. - Peter Lorenz; Paula Harder; Dominik Strassel; Margret Keuper; Janis Keuper (CoRR, 2021)

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? - Peter Lorenz; Dominik Strassel; Margret Keuper; Janis Keuper (CoRR, 2021)

Arrow R-CNN for handwritten diagram recognition. - Bernhard Schäfer; Margret Keuper; Heiner Stuckenschmidt (Int. J. Document Anal. Recognit., 2021)

SP-ViT: Learning 2D Spatial Priors for Vision Transformers. - Yuxuan Zhou 004; Wangmeng Xiang; Chao Li 034; Biao Wang; Xihan Wei; Lei Zhang 006; Margret Keuper; Xian-Sheng Hua 001 (BMVC, 2022)

Optimizing Edge Detection for Image Segmentation with Multicut Penalties. - Steffen Jung 001; Sebastian Ziegler; Amirhossein Kardoost; Margret Keuper (GCPR, 2022)

FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting. - Julia Grabinski; Steffen Jung 001; Janis Keuper; Margret Keuper (ECCV (14), 2022)

Learning Where to Look - Generative NAS is Surprisingly Efficient. - Jovita Lukasik; Steffen Jung 001; Margret Keuper (ECCV (23), 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 (ICLR, 2022)

Robust Models are less Over-Confident. - Julia Grabinski; Paul Gavrikov; Janis Keuper; Margret Keuper (NeurIPS, 2022)

Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders. - Amrutha Saseendran; Kathrin Skubch; Stefan Falkner; Margret Keuper (NeurIPS, 2022)

Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural Networks. - Steffen Jung 001; Margret Keuper (ECML/PKDD (2), 2022)

FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting. - Julia Grabinski; Steffen Jung 001; Janis Keuper; Margret Keuper (CoRR, 2022)

Hypergraph Transformer for Skeleton-based Action Recognition. - Yuxuan Zhou 004; Chao Li 034; Zhi-Qi Cheng; Yifeng Geng; Xuansong Xie; Margret Keuper (CoRR, 2022)

Aliasing and adversarial robust generalization of CNNs. - Julia Grabinski; Janis Keuper; Margret Keuper (Mach. Learn., 2022)

Divide & Bind Your Attention for Improved Generative Semantic Nursing. - Yumeng Li; Margret Keuper; Dan Zhang 003; Anna Khoreva (BMVC, 2023)

An Extended Study of Human-like Behavior under Adversarial Training. - Paul Gavrikov; Janis Keuper; Margret Keuper (CVPR Workshops, 2023)

FullFormer: Generating Shapes Inside Shapes. - Tejaswini Medi; Jawad Tayyub; Muhammad Sarmad; Frank Lindseth; Margret Keuper (DAGM, 2023)

Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition. - Katharina Prasse; Steffen Jung 001; Yuxuan Zhou 004; Margret Keuper (DAGM, 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 (ICCV (Workshops), 2023)

Classification robustness to common optical aberrations. - Patrick Müller; Alexander Braun; Margret Keuper (ICCV (Workshops), 2023)

Neural Architecture Design and Robustness: A Dataset. - Steffen Jung 001; Jovita Lukasik; Margret Keuper (ICLR, 2023)

Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection. - Peter Lorenz; Margret Keuper; Janis Keuper (VISIGRAPP (5: VISAPP), 2023)

Intra-Source Style Augmentation for Improved Domain Generalization. - Yumeng Li; Dan Zhang 003; Margret Keuper; Anna Khoreva (WACV, 2023)

CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks. - Shashank Agnihotri; Margret Keuper (CoRR, 2023)

Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters. - Hendrik Sommerhoff; Shashank Agnihotri; Mohamed Saleh; Michael Moeller 001; Margret Keuper; Andreas Kolb 001 (CoRR, 2023)

Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness. - Yuxuan Zhou 004; Zhi-Qi Cheng; Jun-Yan He; Bin Luo 008; Yifeng Geng; Xuansong Xie; Margret Keuper (CoRR, 2023)

Happy People - Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models. - Steffen Jung 001; Jan Christian Schwedhelm; Claudia Schillings; Margret Keuper (CoRR, 2023)

An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness. - Jovita Lukasik; Michael Möller 001; Margret Keuper (CoRR, 2023)

Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling. - Julia Grabinski; Janis Keuper; Margret Keuper (CoRR, 2023)

As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain. - Julia Grabinski; Janis Keuper; Margret Keuper (CoRR, 2023)

Improving Stability during Upsampling - on the Importance of Spatial Context. - Shashank Agnihotri; Julia Grabinski; Margret Keuper (CoRR, 2023)

Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation. - Evgeny Levinkov; Amirhossein Kardoost; Bjoern Andres; Margret Keuper (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improving Native CNN Robustness with Filter Frequency Regularization. - Jovita Lukasik; Paul Gavrikov; Janis Keuper; Margret Keuper (Trans. Mach. Learn. Res., 2023)

Improving Feature Stability During Upsampling - Spectral Artifacts and the Importance of Spatial Context. - Shashank Agnihotri; Julia Grabinski; Margret Keuper (ECCV (58), 2024)

Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters. - Hendrik Sommerhoff; Shashank Agnihotri; Mohamed Saleh; Michael Moeller 001; Margret Keuper; Bhaskar Choubey; Andreas Kolb 001 (ICCP, 2024)

Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive. - Yumeng Li; Margret Keuper; Dan Zhang 003; Anna Khoreva (ICLR, 2024)

MultiMax: Sparse and Multi-Modal Attention Learning. - Yuxuan Zhou 004; Mario Fritz; Margret Keuper (ICML, 2024)

CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks. - Shashank Agnihotri; Steffen Jung 001; Margret Keuper (ICML, 2024)

Implicit Representations for Constrained Image Segmentation. - Jan Philipp Schneider; Mishal Fatima; Jovita Lukasik; Andreas Kolb 001; Margret Keuper; Michael Moeller 001 (ICML, 2024)

Are Vision Language Models Texture or Shape Biased and Can We Steer Them? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Bianca Lamm; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (CoRR, 2024)

Beware of Aliases - Signal Preservation is Crucial for Robust Image Restoration. - Shashank Agnihotri; Julia Grabinski; Janis Keuper; Margret Keuper (CoRR, 2024)

Domain-Aware Fine-Tuning of Foundation Models. - Ugur Ali Kaplan; Margret Keuper; Anna Khoreva; Dan Zhang 003; Yumeng Li (CoRR, 2024)

How Do Training Methods Influence the Utilization of Vision Models? - Paul Gavrikov; Shashank Agnihotri; Margret Keuper; Janis Keuper (CoRR, 2024)

3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes. - Tejaswini Medi; Arianna Rampini; Pradyumna Reddy; Pradeep Kumar Jayaraman; Margret Keuper (CoRR, 2024)

Towards Class-wise Robustness Analysis. - Tejaswini Medi; Julia Grabinski; Margret Keuper (CoRR, 2024)

Aligning Visual and Semantic Interpretability through Visually Grounded Concept Bottleneck Models. - Patrick Knab; Katharina Prasse; Sascha Marton; Christian Bartelt; Margret Keuper (CoRR, 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 (Trans. Mach. Learn. Res., 2024)

As large as it gets - Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters. - Julia Grabinski; Janis Keuper; Margret Keuper (Trans. Mach. Learn. Res., 2024)

Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization. - Yumeng Li; Dan Zhang 003; Margret Keuper; Anna Khoreva (Int. J. Comput. Vis., 2024)

Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation. - Yuxuan Zhou 004; Margret Keuper; Mario Fritz (ACL (1), 2025)

Can We Talk Models Into Seeing the World Differently? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (ICLR, 2025)

VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis. - Yumeng Li; William H. Beluch; Margret Keuper; Dan Zhang 003; Anna Khoreva (ICLR, 2025)

FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training. - Tejaswini Medi; Steffen Jung 001; 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 (WACV, 2025)

FlowBench: Benchmarking Optical Flow Estimation Methods for Reliability and Generalization. - Shashank Agnihotri; Julian Yuya Caspary; Luca Schwarz; Xinyan Gao; Jenny Schmalfuss; Andrés Bruhn; Margret Keuper (Trans. Mach. Learn. Res., 2025)

Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models. - Mishal Fatima; Steffen Jung 001; Margret Keuper (Trans. Mach. Learn. Res., 2025)

MaxSup: Overcoming Representation Collapse in Label Smoothing. - Yuxuan Zhou 004; Heng Li; Zhi-Qi Cheng; Xudong Yan; Mario Fritz; Margret Keuper (CoRR, 2025)

Deep Learning for Climate Action: Computer Vision Analysis of Visual Narratives on X. - Katharina Prasse; Marcel Kleinmann; Inken Adam; Kerstin Beckersjuergen; Andreas Edte; Jona Frroku; Timotheus Gumpp; Steffen Jung 001; Isaac Bravo; Stefanie Walter; Margret Keuper (CoRR, 2025)

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

Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models. - Patrick Müller; Alexander Braun; Margret Keuper (CoRR, 2025)

Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions? - Shashank Agnihotri; David Schader; Nico Sharei; Mehmet Ege Kaçar; Margret Keuper (CoRR, 2025)

DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions. - Shashank Agnihotri; Amaan Ansari; Annika Dackermann; Fabian Rösch; Margret Keuper (CoRR, 2025)

RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo. - Jenny Schmalfuss; Victor Oei; Lukas Mehl; Madlen Bartsch; Shashank Agnihotri; Margret Keuper; Andrés Bruhn (CoRR, 2025)

CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks. - Christoph Leiter; Yuki M. Asano; Margret Keuper; Steffen Eger (CoRR, 2025)

Informed Mixing - Improving Open Set Recognition via Attribution-based Augmentation. - Jiawen Xu; Odej Kao; Margret Keuper (CoRR, 2025)

SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification. - Shashank Agnihotri; David Schader; Jonas Jakubassa; Nico Sharei; Simon Kral; Mehmet Ege Kaçar; Ruben Weber; Margret Keuper (CoRR, 2025)

An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness. - Jovita Lukasik; Michael Möller 001; Margret Keuper (Int. J. Comput. Vis., 2025)

TRIX- Trading Adversarial Fairness via Mixed Adversarial Training. - Tejaswini Medi; Steffen Jung 001; Margret Keuper (CoRR, 2025)

Smart Eyes for Silent Threats: VLMs and In-Context Learning for THz Imaging. - Nicolás Poggi; Shashank Agnihotri; Margret Keuper (CoRR, 2025)

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks. - Marcel Kleinmann; Shashank Agnihotri; Margret Keuper (CoRR, 2025)

AIM: Amending Inherent Interpretability via Self-Supervised Masking. - Eyad Alshami; Shashank Agnihotri; Bernt Schiele; Margret Keuper (CoRR, 2025)