Margret Keuper

174 papers A* 25A 6B 9Journal 102Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models. IEEE Trans. Pattern Anal. Mach. Intell. Patrick Müller, Alexander Braun, Margret Keuper
2026	J	`jnl`	GeoDiv: Framework For Measuring Geographical Diversity In Text-To-Image Models. CoRR Abhipsa Basu, Mohana Singh, Shashank Agnihotri, Margret Keuper, R. Venkatesh Babu
2026	—	`ed.`	Pattern Recognition - 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23-26, 2025, Proceedings DAGM GCPR Margret Keuper, Francesco Locatello
2026	J	`jnl`	RAWDet-7: A Multi-Scenario Benchmark for Object Detection and Description on Quantized RAW Images. CoRR Mishal Fatima, Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Michael Möller, Margret Keuper
2025	J	`jnl`	A Granular Study of Safety Pretraining under Model Abliteration. CoRR Shashank Agnihotri, Jonas Jakubassa, Priyam Dey, Sachin Goyal, Bernt Schiele, Venkatesh Babu Radhakrishnan, Margret Keuper
2025	J	`jnl`	AIM: Amending Inherent Interpretability via Self-Supervised Masking. CoRR Eyad Alshami, Shashank Agnihotri, Bernt Schiele, Margret Keuper
2025	J	`jnl`	An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness. Int. J. Comput. Vis. Jovita Lukasik, Michael Möller, Margret Keuper
2025	J	`jnl`	Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions? CoRR Shashank Agnihotri, David Schader, Nico Sharei, Mehmet Ege Kaçar, Margret Keuper
2025	—	`conf`	Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation. ACL (1) Yuxuan Zhou, Margret Keuper, Mario Fritz
2025	J	`jnl`	CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks. CoRR Christoph Leiter, Yuki M. Asano, Margret Keuper, Steffen Eger
2025	A*	`conf`	Can We Talk Models Into Seeing the World Differently? ICLR Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
2025	J	`jnl`	Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models. CoRR Mishal Fatima, Steffen Jung, Margret Keuper
2025	J	`jnl`	Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models. Trans. Mach. Learn. Res. Mishal Fatima, Steffen Jung, Margret Keuper
2025	A*	`conf`	DCBM: Data-Efficient Visual Concept Bottleneck Models. ICML Katharina Prasse, Patrick Knab, Sascha Marton, Christian Bartelt, Margret Keuper
2025	J	`jnl`	Deep Learning for Climate Action: Computer Vision Analysis of Visual Narratives on X. CoRR Katharina Prasse, Marcel Kleinmann, Inken Adam, Kerstin Beckersjuergen, Andreas Edte, Jona Frroku, Timotheus Gumpp, Steffen Jung, Isaac Bravo, Stefanie Walter, Margret Keuper
2025	J	`jnl`	Deepfakes: we need to re-think the concept of "real" images. CoRR Janis Keuper, Margret Keuper
2025	J	`jnl`	DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions. CoRR Shashank Agnihotri, Amaan Ansari, Annika Dackermann, Fabian Rösch, Margret Keuper
2025	J	`jnl`	Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models. CoRR Patrick Müller, Alexander Braun, Margret Keuper
2025	A	`conf`	FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training. WACV Tejaswini Medi, Steffen Jung, Margret Keuper
2025	J	`jnl`	Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks. CoRR Marcel Kleinmann, Shashank Agnihotri, Margret Keuper
2025	J	`jnl`	FlowBench: Benchmarking Optical Flow Estimation Methods for Reliability and Generalization. Trans. Mach. Learn. Res. Shashank Agnihotri, Julian Yuya Caspary, Luca Schwarz, Xinyan Gao, Jenny Schmalfuss, Andrés Bruhn, Margret Keuper
2025	A	`conf`	I Spy with My Little Eye a Minimum Cost Multicut Investigation of Dataset Frames. WACV Katharina Prasse, Isaac Bravo, Stefanie Walter, Margret Keuper
2025	J	`jnl`	Informed Mixing - Improving Open Set Recognition via Attribution-based Augmentation. CoRR Jiawen Xu, Odej Kao, Margret Keuper
2025	J	`jnl`	MaxSup: Overcoming Representation Collapse in Label Smoothing. CoRR Yuxuan Zhou, Heng Li, Zhi-Qi Cheng, Xudong Yan, Mario Fritz, Margret Keuper
2025	J	`jnl`	Missing Fine Details in Images: Last Seen in High Frequencies. CoRR Tejaswini Medi, Hsien-Yi Wang, Arianna Rampini, Margret Keuper
2025	J	`jnl`	RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo. CoRR Jenny Schmalfuss, Victor Oei, Lukas Mehl, Madlen Bartsch, Shashank Agnihotri, Margret Keuper, Andrés Bruhn
2025	A*	`conf`	Segment Any Repeated Object. ICRA Yushi Liu, Christian Graf, Markus Spies, Margret Keuper
2025	J	`jnl`	SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification. CoRR Shashank Agnihotri, David Schader, Jonas Jakubassa, Nico Sharei, Simon Kral, Mehmet Ege Kaçar, Ruben Weber, Margret Keuper
2025	J	`jnl`	Smart Eyes for Silent Threats: VLMs and In-Context Learning for THz Imaging. CoRR Nicolás Poggi, Shashank Agnihotri, Margret Keuper
2025	J	`jnl`	TRIX- Trading Adversarial Fairness via Mixed Adversarial Training. CoRR Tejaswini Medi, Steffen Jung, Margret Keuper
2025	J	`jnl`	TikZero: Zero-Shot Text-Guided Graphics Program Synthesis. CoRR Jonas Belouadi, Eddy Ilg, Margret Keuper, Hideki Tanaka, Masao Utiyama, Raj Dabre, Steffen Eger, Simone Paolo Ponzetto
2025	A*	`conf`	VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis. ICLR Yumeng Li, William H. Beluch, Margret Keuper, Dan Zhang, Anna Khoreva
2025	J	`jnl`	Vision At Night: Exploring Biologically Inspired Preprocessing For Improved Robustness Via Color And Contrast Transformations. CoRR Lorena Stracke, Lia Nimmermann, Shashank Agnihotri, Margret Keuper, Volker Blanz
2025	—	`conf`	γ-Quant: Towards Learnable Quantization for Low-Bit Pattern Recognition. DAGM GCPR Mishal Fatima, Shashank Agnihotri, Marius Bock, Kanchana Vaishnavi Gandikota, Kristof Van Laerhoven, Michael Möller, Margret Keuper
2025	J	`jnl`	γ-Quant: Towards Learnable Quantization for Low-bit Pattern Recognition. CoRR Mishal Fatima, Shashank Agnihotri, Marius Bock, Kanchana Vaishnavi Gandikota, Kristof Van Laerhoven, Michael Möller, Margret Keuper
2024	J	`jnl`	3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes. CoRR Tejaswini Medi, Arianna Rampini, Pradyumna Reddy, Pradeep Kumar Jayaraman, Margret Keuper
2024	A*	`conf`	Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive. ICLR Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
2024	J	`jnl`	Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive. CoRR Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
2024	J	`jnl`	Aligning Visual and Semantic Interpretability through Visually Grounded Concept Bottleneck Models. CoRR Patrick Knab, Katharina Prasse, Sascha Marton, Christian Bartelt, Margret Keuper
2024	J	`jnl`	Are Vision Language Models Texture or Shape Biased and Can We Steer Them? CoRR Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
2024	J	`jnl`	As large as it gets - Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters. Trans. Mach. Learn. Res. Julia Grabinski, Janis Keuper, Margret Keuper
2024	J	`jnl`	Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation. CoRR Yuxuan Zhou, Margret Keuper, Mario Fritz
2024	J	`jnl`	Beware of Aliases - Signal Preservation is Crucial for Robust Image Restoration. CoRR Shashank Agnihotri, Julia Grabinski, Janis Keuper, Margret Keuper
2024	A*	`conf`	CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks. ICML Shashank Agnihotri, Steffen Jung, Margret Keuper
2024	J	`jnl`	Domain-Aware Fine-Tuning of Foundation Models. CoRR Ugur Ali Kaplan, Margret Keuper, Anna Khoreva, Dan Zhang, Yumeng Li
2024	J	`jnl`	FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training. CoRR Tejaswini Medi, Steffen Jung, Margret Keuper
2024	J	`jnl`	How Do Training Methods Influence the Utilization of Vision Models? CoRR Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper
2024	J	`jnl`	I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames. CoRR Katharina Prasse, Isaac Bravo, Stefanie Walter, Margret Keuper
2024	A*	`conf`	Implicit Representations for Constrained Image Segmentation. ICML Jan Philipp Schneider, Mishal Fatima, Jovita Lukasik, Andreas Kolb, Margret Keuper, Michael Moeller
2024	—	`conf`	Improving Feature Stability During Upsampling - Spectral Artifacts and the Importance of Spatial Context. ECCV (58) Shashank Agnihotri, Julia Grabinski, Margret Keuper
2024	J	`jnl`	Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization. Int. J. Comput. Vis. Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva
2024	J	`jnl`	Learning the essential in less than 2k additional weights - a simple approach to improve image classification stability under corruptions. Trans. Mach. Learn. Res. Kai Bäuerle, Patrick Müller, Syed Muhammad Kazim, Ivo Ihrke, Margret Keuper
2024	A*	`conf`	MultiMax: Sparse and Multi-Modal Attention Learning. ICML Yuxuan Zhou, Mario Fritz, Margret Keuper
2024	J	`jnl`	MultiMax: Sparse and Multi-Modal Attention Learning. CoRR Yuxuan Zhou, Mario Fritz, Margret Keuper
2024	B	`conf`	Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters. ICCP Hendrik Sommerhoff, Shashank Agnihotri, Mohamed Saleh, Michael Moeller, Margret Keuper, Bhaskar Choubey, Andreas Kolb
2024	J	`jnl`	Towards Class-wise Robustness Analysis. CoRR Tejaswini Medi, Julia Grabinski, Margret Keuper
2024	J	`jnl`	VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis. CoRR Yumeng Li, William Beluch, Margret Keuper, Dan Zhang, Anna Khoreva
2023	—	`conf`	An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness. DAGM Jovita Lukasik, Michael Moeller, Margret Keuper
2023	J	`jnl`	An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness. CoRR Jovita Lukasik, Michael Möller, Margret Keuper
2023	—	`conf`	An Extended Study of Human-like Behavior under Adversarial Training. CVPR Workshops Paul Gavrikov, Janis Keuper, Margret Keuper
2023	J	`jnl`	An Extended Study of Human-like Behavior under Adversarial Training. CoRR Paul Gavrikov, Janis Keuper, Margret Keuper
2023	J	`jnl`	As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain. CoRR Julia Grabinski, Janis Keuper, Margret Keuper
2023	—	`conf`	Classification robustness to common optical aberrations. ICCV (Workshops) Patrick Müller, Alexander Braun, Margret Keuper
2023	J	`jnl`	Classification robustness to common optical aberrations. CoRR Patrick Müller, Alexander Braun, Margret Keuper
2023	J	`jnl`	CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks. CoRR Shashank Agnihotri, Margret Keuper
2023	J	`jnl`	Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters. CoRR Hendrik Sommerhoff, Shashank Agnihotri, Mohamed Saleh, Michael Moeller, Margret Keuper, Andreas Kolb
2023	A	`conf`	Divide & Bind Your Attention for Improved Generative Semantic Nursing. BMVC Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
2023	J	`jnl`	Divide & Bind Your Attention for Improved Generative Semantic Nursing. CoRR Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
2023	J	`jnl`	Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling. CoRR Julia Grabinski, Janis Keuper, Margret Keuper
2023	—	`conf`	FullFormer: Generating Shapes Inside Shapes. DAGM Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper
2023	J	`jnl`	FullFormer: Generating Shapes Inside Shapes. CoRR Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper
2023	J	`jnl`	Happy People - Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models. CoRR Steffen Jung, Jan Christian Schwedhelm, Claudia Schillings, Margret Keuper
2023	J	`jnl`	Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Evgeny Levinkov, Amirhossein Kardoost, Bjoern Andres, Margret Keuper
2023	J	`jnl`	Improving Native CNN Robustness with Filter Frequency Regularization. Trans. Mach. Learn. Res. Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper
2023	J	`jnl`	Improving Stability during Upsampling - on the Importance of Spatial Context. CoRR Shashank Agnihotri, Julia Grabinski, Margret Keuper
2023	J	`jnl`	Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization. CoRR Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva
2023	A	`conf`	Intra-Source Style Augmentation for Improved Domain Generalization. WACV Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva
2023	—	`conf`	Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition. DAGM Katharina Prasse, Steffen Jung, Yuxuan Zhou, Margret Keuper
2023	J	`jnl`	Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition. CoRR Katharina Prasse, Steffen Jung, Yuxuan Zhou, Margret Keuper
2023	A*	`conf`	Neural Architecture Design and Robustness: A Dataset. ICLR Steffen Jung, Jovita Lukasik, Margret Keuper
2023	J	`jnl`	Neural Architecture Design and Robustness: A Dataset. CoRR Steffen Jung, Jovita Lukasik, Margret Keuper
2023	—	`conf`	On the unreasonable vulnerability of transformers for image restoration - and an easy fix. ICCV (Workshops) Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper
2023	J	`jnl`	On the unreasonable vulnerability of transformers for image restoration - and an easy fix. CoRR Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper
2023	J	`jnl`	Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness. CoRR Yuxuan Zhou, Zhi-Qi Cheng, Jun-Yan He, Bin Luo, Yifeng Geng, Xuansong Xie, Margret Keuper
2023	—	`conf`	Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection. VISIGRAPP (5: VISAPP) Peter Lorenz, Margret Keuper, Janis Keuper
2022	J	`jnl`	Aliasing and adversarial robust generalization of CNNs. Mach. Learn. Julia Grabinski, Janis Keuper, Margret Keuper
2022	J	`jnl`	FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting. CoRR Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper
2022	—	`conf`	FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting. ECCV (14) Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper
2022	J	`jnl`	Hypergraph Transformer for Skeleton-based Action Recognition. CoRR Yuxuan Zhou, Chao Li, Zhi-Qi Cheng, Yifeng Geng, Xuansong Xie, Margret Keuper
2022	J	`jnl`	Intra-Source Style Augmentation for Improved Domain Generalization. CoRR Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva
2022	J	`jnl`	Learning Where To Look - Generative NAS is Surprisingly Efficient. CoRR Jovita Lukasik, Steffen Jung, Margret Keuper
2022	—	`conf`	Learning Where to Look - Generative NAS is Surprisingly Efficient. ECCV (23) Jovita Lukasik, Steffen Jung, Margret Keuper
2022	—	`conf`	Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural Networks. ECML/PKDD (2) Steffen Jung, Margret Keuper
2022	J	`jnl`	Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted Graph Convolutional Neural Networks. CoRR Steffen Jung, Margret Keuper
2022	—	`conf`	Optimizing Edge Detection for Image Segmentation with Multicut Penalties. GCPR Steffen Jung, Sebastian Ziegler, Amirhossein Kardoost, Margret Keuper
2022	A*	`conf`	Robust Models are less Over-Confident. NeurIPS Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper
2022	J	`jnl`	Robust Models are less Over-Confident. CoRR Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper
2022	A	`conf`	SP-ViT: Learning 2D Spatial Priors for Vision Transformers. BMVC Yuxuan Zhou, Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Lei Zhang, Margret Keuper, Xian-Sheng Hua
2022	J	`jnl`	SP-ViT: Learning 2D Spatial Priors for Vision Transformers. CoRR Yuxuan Zhou, Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Lei Zhang, Margret Keuper, Xiansheng Hua
2022	A*	`conf`	Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks. ICLR Arber Zela, Julien Niklas Siems, Lucas Zimmer, Jovita Lukasik, Margret Keuper, Frank Hutter
2022	A*	`conf`	Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders. NeurIPS Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper
2022	J	`jnl`	Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection. CoRR Peter Lorenz, Margret Keuper, Janis Keuper
2021	J	`jnl`	Arrow R-CNN for handwritten diagram recognition. Int. J. Document Anal. Recognit. Bernhard Schäfer, Margret Keuper, Heiner Stuckenschmidt
2021	A*	`conf`	Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. IJCAI Yang He, Ning Yu, Margret Keuper, Mario Fritz
2021	J	`jnl`	Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. CoRR Yang He, Ning Yu, Margret Keuper, Mario Fritz
2021	J	`jnl`	DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity. CoRR Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller
2021	J	`jnl`	Detecting AutoAttack Perturbations in the Frequency Domain. CoRR Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper
2021	J	`jnl`	Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space. CoRR Kalun Ho, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper
2021	J	`jnl`	Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? CoRR Peter Lorenz, Dominik Strassel, Margret Keuper, Janis Keuper
2021	—	`conf`	MSM: Multi-stage Multicuts for Scalable Image Clustering. ISC Workshops Kalun Ho, Avraam Chatzimichailidis, Margret Keuper, Janis Keuper
2021	A*	`conf`	Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation. ICCV Amrutha Saseendran, Kathrin Skubch, Margret Keuper
2021	J	`jnl`	Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation. CoRR Amrutha Saseendran, Kathrin Skubch, Margret Keuper
2021	J	`jnl`	Optimizing Edge Detection for Image Segmentation with Multicut Penalties. CoRR Steffen Jung, Sebastian Ziegler, Amirhossein Kardoost, Margret Keuper
2021	A*	`conf`	Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders. NeurIPS Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper
2021	B	`conf`	Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. IJCNN Jovita Lukasik, David Friede, Arber Zela, Frank Hutter, Margret Keuper
2021	A*	`conf`	Spectral Distribution Aware Image Generation. AAAI Steffen Jung, Margret Keuper
2021	B	`conf`	SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. IJCNN Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper
2021	J	`jnl`	SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. CoRR Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper
2021	J	`jnl`	Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation. CoRR Amirhossein Kardoost, Margret Keuper
2021	A	`conf`	Uncertainty in minimum cost multicuts for image and motion segmentation. UAI Amirhossein Kardoost, Margret Keuper
2020	—	`conf`	A Benders Decomposition Approach to Correlation Clustering. MLHPC/AI4S@SC Jovita Lukasik, Margret Keuper, Maneesh Singh, Julian Yarkony
2020	—	`conf`	A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking. ACCV (2) Kalun Ho, Amirhossein Kardoost, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper
2020	B	`conf`	Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. ICPR Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper
2020	J	`jnl`	Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. CoRR Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper
2020	J	`jnl`	Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Margret Keuper, Siyu Tang, Bjoern Andres, Thomas Brox, Bernt Schiele
2020	J	`jnl`	NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search. CoRR Julien Siems, Lucas Zimmer, Arber Zela, Jovita Lukasik, Margret Keuper, Frank Hutter
2020	—	`conf`	Neural Architecture Performance Prediction Using Graph Neural Networks. GCPR Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper
2020	J	`jnl`	Neural Architecture Performance Prediction Using Graph Neural Networks. CoRR Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper
2020	B	`conf`	Object Segmentation Tracking from Generic Video Cues. ICPR Amirhossein Kardoost, Sabine Müller, Joachim Weickert, Margret Keuper
2020	—	`conf`	Self-supervised Sparse to Dense Motion Segmentation. ACCV (2) Amirhossein Kardoost, Kalun Ho, Peter Ochs, Margret Keuper
2020	J	`jnl`	Self-supervised Sparse to Dense Motion Segmentation. CoRR Amirhossein Kardoost, Kalun Ho, Peter Ochs, Margret Keuper
2020	J	`jnl`	Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. CoRR Jovita Lukasik, David Friede, Arber Zela, Heiner Stuckenschmidt, Frank Hutter, Margret Keuper
2020	J	`jnl`	Spectral Distribution Aware Image Generation. CoRR Steffen Jung, Margret Keuper
2020	B	`conf`	Unsupervised Bootstrapping of Active Learning for Entity Resolution. ESWC Anna Primpeli, Christian Bizer, Margret Keuper
2020	J	`jnl`	Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts. CoRR Kalun Ho, Janis Keuper, Margret Keuper
2020	A*	`conf`	Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions. CVPR Ricard Durall, Margret Keuper, Janis Keuper
2020	J	`jnl`	Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions. CoRR Ricard Durall, Margret Keuper, Janis Keuper
2019	J	`jnl`	A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction. CoRR David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper
2019	J	`jnl`	Massively Parallel Benders Decomposition for Correlation Clustering. CoRR Margret Keuper, Maneesh Singh, Julian Yarkony
2019	J	`jnl`	Object Segmentation Tracking from Generic Video Cues. CoRR Amirhossein Kardoost, Sabine Müller, Joachim Weickert, Margret Keuper
2019	J	`jnl`	Unmasking DeepFakes with simple Features. CoRR Ricard Durall, Margret Keuper, Franz-Josef Pfreundt, Janis Keuper
2018	—	`conf`	Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. ECCV (12) Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox
2018	J	`jnl`	Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. CoRR Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox
2018	—	`ed.`	Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", LWDA 2018, Mannheim, Germany, August 22-24, 2018. LWDA Rainer Gemulla, Simone Paolo Ponzetto, Christian Bizer, Margret Keuper, Heiner Stuckenschmidt
2018	—	`conf`	Solving Minimum Cost Lifted Multicut Problems by Node Agglomeration. ACCV (4) Amirhossein Kardoost, Margret Keuper
2017	A*	`conf`	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CVPR Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
2017	A*	`conf`	Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation. ICCV Margret Keuper
2017	J	`jnl`	Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation. CoRR Margret Keuper
2017	—	`conf`	Learning Dilation Factors for Semantic Segmentation of Street Scenes. GCPR Yang He, Margret Keuper, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Learning Dilation Factors for Semantic Segmentation of Street Scenes. CoRR Yang He, Margret Keuper, Bernt Schiele, Mario Fritz
2017	A*	`conf`	ProbFlow: Joint Optical Flow and Uncertainty Estimation. ICCV Anne S. Wannenwetsch, Margret Keuper, Stefan Roth
2017	J	`jnl`	ProbFlow: Joint Optical Flow and Uncertainty Estimation. CoRR Anne S. Wannenwetsch, Margret Keuper, Stefan Roth
2017	A*	`conf`	STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. CVPR Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz
2016	J	`jnl`	A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects. CoRR Margret Keuper, Siyu Tang, Zhongjie Yu, Bjoern Andres, Thomas Brox, Bernt Schiele
2016	J	`jnl`	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CoRR Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
2016	—	`conf`	Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency. ECCV Workshops (3) Margret Keuper, Thomas Brox
2016	J	`jnl`	Point-wise mutual information-based video segmentation with high temporal consistency. CoRR Margret Keuper, Thomas Brox
2016	J	`jnl`	RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. CoRR Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz
2016	—	`ch.`	Segmentation in Point Clouds from RGB-D Using Spectral Graph Reduction. Perspectives in Shape Analysis Margret Keuper, Thomas Brox
2015	A*	`conf`	Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. ICCV Margret Keuper, Evgeny Levinkov, Nicolas Bonneel, Guillaume Lavoué, Thomas Brox, Bjoern Andres
2015	J	`jnl`	Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. CoRR Margret Keuper, Evgeny Levinkov, Nicolas Bonneel, Guillaume Lavoué, Thomas Brox, Bjoern Andres
2015	A*	`conf`	Motion Trajectory Segmentation via Minimum Cost Multicuts. ICCV Margret Keuper, Bjoern Andres, Thomas Brox
2014	A*	`conf`	Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation. CVPR Fabio Galasso, Margret Keuper, Thomas Brox, Bernt Schiele
2013	A*	`conf`	Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF). CVPR Margret Keuper, Thorsten Schmidt, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Olaf Ronneberger, Thomas Brox
2013	J	`jnl`	Variational attenuation correction in two-view confocal microscopy. BMC Bioinform. Thorsten Schmidt, Jasmin Dürr, Margret Keuper, Thomas Blein, Klaus Palme, Olaf Ronneberger
2013	—	`conf`	Variational attenuation correction of two-view confocal microscopic recordings. ISBI Thorsten Schmidt, Jasmin Dürr, Margret Keuper, Thomas Blein, Klaus Palme, Olaf Ronneberger
2012	—	`conf`	Blind deconvolution with PSF regularization for wide-field microscopy. ISBI Margret Keuper, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Thomas Brox, Hans Burkhardt, Olaf Ronneberger
2012	—	`conf`	Modeling of Sparsely Sampled Tubular Surfaces Using Coupled Curves. DAGM/OAGM Symposium Thorsten Schmidt, Margret Keuper, Taras Pasternak, Klaus Palme, Olaf Ronneberger
2011	—	`conf`	Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings. ISBI Margret Keuper, Thorsten Schmidt, Marta Rodriguez-Franco, Wolfgang Schamel, Thomas Brox, Hans Burkhardt, Olaf Ronneberger
2010	B	`conf`	3D Deformable Surfaces with Locally Self-Adjusting Parameters - A Robust Method to Determine Cell Nucleus Shapes. ICPR Margret Keuper, Thorsten Schmidt, Jan Padeken, Patrick Heun, Klaus Palme, Hans Burkhardt, Olaf Ronneberger
2010	B	`conf`	Evaluation of a New Point Clouds Registration Method Based on Group Averaging Features. ICPR Maja Temerinac-Ott, Margret Keuper, Hans Burkhardt
2010	B	`conf`	Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces. ICPR Margret Keuper, Hans Burkhardt, Olaf Ronneberger, Jan Padeken, Patrick Heun
2010	—	`conf`	Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation. DAGM-Symposium Margret Keuper, Robert Bensch, Karsten Voigt, Alexander Dovzhenko, Klaus Palme, Hans Burkhardt, Olaf Ronneberger
2009	—	`conf`	A 3D Active Surface Model for the Accurate Segmentation of ISVC (1) Margret Keuper, Jan Padeken, Patrick Heun, Hans Burkhardt, Olaf Ronneberger