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Margret Keuper
Person information
- affiliation: Mannheim University, Germany
- affiliation (former): University of Siegen, Germany
- affiliation (former): Max Planck Institute for Informatics, Saarbrücken, Germany
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2020 – today
- 2024
- [j9]Yumeng Li
, Dan Zhang, Margret Keuper, Anna Khoreva:
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization. Int. J. Comput. Vis. 132(2): 446-465 (2024) - [j8]Kai Bäuerle, Patrick Müller, Syed Muhammad Kazim, Ivo Ihrke, Margret Keuper:
Learning the essential in less than 2k additional weights - a simple approach to improve image classification stability under corruptions. Trans. Mach. Learn. Res. 2024 (2024) - [j7]Julia Grabinski, Janis Keuper, Margret Keuper:
As large as it gets - Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters. Trans. Mach. Learn. Res. 2024 (2024) - [c61]Shashank Agnihotri
Improving Feature Stability During Upsampling - Spectral Artifacts and the Importance of Spatial Context. ECCV (58) 2024: 357-376 - [c60]Hendrik Sommerhoff, Shashank Agnihotri, Mohamed Saleh, Michael Moeller, Margret Keuper, Bhaskar Choubey, Andreas Kolb:
Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters. ICCP 2024: 1-10 - [c59]Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva:
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive. ICLR 2024 - [c58]Yuxuan Zhou, Mario Fritz, Margret Keuper:
MultiMax: Sparse and Multi-Modal Attention Learning. ICML 2024 - [c57]Shashank Agnihotri, Steffen Jung, Margret Keuper:
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks. ICML 2024 - [c56]Jan Philipp Schneider, Mishal Fatima, Jovita Lukasik, Andreas Kolb, Margret Keuper, Michael Moeller:
Implicit Representations for Constrained Image Segmentation. ICML 2024 - [i63]Yumeng Li
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive. CoRR abs/2401.08815 (2024) - [i62]Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper:
Are Vision Language Models Texture or Shape Biased and Can We Steer Them? CoRR abs/2403.09193 (2024) - [i61]Yumeng Li
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis. CoRR abs/2403.13501 (2024) - [i60]Yuxuan Zhou, Mario Fritz, Margret Keuper:
MultiMax: Sparse and Multi-Modal Attention Learning. CoRR abs/2406.01189 (2024) - [i59]Shashank Agnihotri, Julia Grabinski, Janis Keuper, Margret Keuper:
Beware of Aliases - Signal Preservation is Crucial for Robust Image Restoration. CoRR abs/2406.07435 (2024) - [i58]Ugur Ali Kaplan, Margret Keuper, Anna Khoreva, Dan Zhang, Yumeng Li
Domain-Aware Fine-Tuning of Foundation Models. CoRR abs/2407.03482 (2024) - [i57]Yuxuan Zhou, Margret Keuper, Mario Fritz:
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation. CoRR abs/2408.13586 (2024) - [i56]Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper:
How Do Training Methods Influence the Utilization of Vision Models? CoRR abs/2410.14470 (2024) - [i55]Tejaswini Medi, Steffen Jung, Margret Keuper:
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training. CoRR abs/2410.23142 (2024) - 2023
- [j6]Evgeny Levinkov
Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 608-622 (2023) - [j5]Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper:
Improving Native CNN Robustness with Filter Frequency Regularization. Trans. Mach. Learn. Res. 2023 (2023) - [c55]Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva:
Divide & Bind Your Attention for Improved Generative Semantic Nursing. BMVC 2023: 366 - [c54]Paul Gavrikov
An Extended Study of Human-like Behavior under Adversarial Training. CVPR Workshops 2023: 2361-2368 - [c53]Katharina Prasse
Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition. DAGM 2023: 67-82 - [c52]Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper:
FullFormer: Generating Shapes Inside Shapes. DAGM 2023: 147-162 - [c51]Jovita Lukasik
An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness. DAGM 2023: 624-638 - [c50]Patrick Müller, Alexander Braun, Margret Keuper:
Classification robustness to common optical aberrations. ICCV (Workshops) 2023: 3634-3645 - [c49]Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper:
On the unreasonable vulnerability of transformers for image restoration - and an easy fix. ICCV (Workshops) 2023: 3709-3719 - [c48]Steffen Jung, Jovita Lukasik, Margret Keuper:
Neural Architecture Design and Robustness: A Dataset. ICLR 2023 - [c47]Peter Lorenz, Margret Keuper, Janis Keuper:
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection. VISIGRAPP (5: VISAPP) 2023: 27-38 - [c46]Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva:
Intra-Source Style Augmentation for Improved Domain Generalization. WACV 2023: 509-519 - [i54]Shashank Agnihotri, Margret Keuper:
CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks. CoRR abs/2302.02213 (2023) - [i53]Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper:
FullFormer: Generating Shapes Inside Shapes. CoRR abs/2303.11235 (2023) - [i52]Paul Gavrikov
An Extended Study of Human-like Behavior under Adversarial Training. CoRR abs/2303.12669 (2023) - [i51]Hendrik Sommerhoff, Shashank Agnihotri, Mohamed Saleh, Michael Moeller, Margret Keuper, Andreas Kolb:
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters. CoRR abs/2304.14736 (2023) - [i50]Yuxuan Zhou, Zhi-Qi Cheng
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness. CoRR abs/2305.11468 (2023) - [i49]Steffen Jung, Jan Christian Schwedhelm, Claudia Schillings, Margret Keuper:
Happy People - Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models. CoRR abs/2306.06684 (2023) - [i48]Steffen Jung, Jovita Lukasik, Margret Keuper:
Neural Architecture Design and Robustness: A Dataset. CoRR abs/2306.06712 (2023) - [i47]Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva:
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization. CoRR abs/2307.00648 (2023) - [i46]Jovita Lukasik, Michael Möller, Margret Keuper:
An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness. CoRR abs/2307.09365 (2023) - [i45]Julia Grabinski, Janis Keuper, Margret Keuper:
Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling. CoRR abs/2307.09804 (2023) - [i44]Julia Grabinski, Janis Keuper, Margret Keuper:
As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain. CoRR abs/2307.10001 (2023) - [i43]Yumeng Li
Divide & Bind Your Attention for Improved Generative Semantic Nursing. CoRR abs/2307.10864 (2023) - [i42]Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper:
On the unreasonable vulnerability of transformers for image restoration - and an easy fix. CoRR abs/2307.13856 (2023) - [i41]Katharina Prasse, Steffen Jung, Yuxuan Zhou, Margret Keuper:
Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition. CoRR abs/2308.10557 (2023) - [i40]Patrick Müller, Alexander Braun, Margret Keuper:
Classification robustness to common optical aberrations. CoRR abs/2308.15499 (2023) - [i39]Shashank Agnihotri, Julia Grabinski, Margret Keuper:
Improving Stability during Upsampling - on the Importance of Spatial Context. CoRR abs/2311.17524 (2023) - 2022
- [j4]Julia Grabinski
Aliasing and adversarial robust generalization of CNNs. Mach. Learn. 111(11): 3925-3951 (2022) - [c45]Yuxuan Zhou
SP-ViT: Learning 2D Spatial Priors for Vision Transformers. BMVC 2022: 564 - [c44]Steffen Jung
Optimizing Edge Detection for Image Segmentation with Multicut Penalties. GCPR 2022: 182-197 - [c43]Julia Grabinski
FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting. ECCV (14) 2022: 36-57 - [c42]Jovita Lukasik
Learning Where to Look - Generative NAS is Surprisingly Efficient. ECCV (23) 2022: 257-273 - [c41]Arber Zela, Julien Niklas Siems, Lucas Zimmer, Jovita Lukasik, Margret Keuper, Frank Hutter:
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks. ICLR 2022 - [c40]Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper:
Robust Models are less Over-Confident. NeurIPS 2022 - [c39]Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper:
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders. NeurIPS 2022 - [c38]Steffen Jung
Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural Networks. ECML/PKDD (2) 2022: 485-501 - [i38]Jovita Lukasik, Steffen Jung, Margret Keuper:
Learning Where To Look - Generative NAS is Surprisingly Efficient. CoRR abs/2203.08734 (2022) - [i37]Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper:
FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting. CoRR abs/2204.00491 (2022) - [i36]Steffen Jung, Margret Keuper:
Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted Graph Convolutional Neural Networks. CoRR abs/2204.01366 (2022) - [i35]Yuxuan Zhou, Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Lei Zhang, Margret Keuper, Xiansheng Hua:
SP-ViT: Learning 2D Spatial Priors for Vision Transformers. CoRR abs/2206.07662 (2022) - [i34]Julia Grabinski, Paul Gavrikov
Robust Models are less Over-Confident. CoRR abs/2210.05938 (2022) - [i33]Yumeng Li
Intra-Source Style Augmentation for Improved Domain Generalization. CoRR abs/2210.10175 (2022) - [i32]Yuxuan Zhou, Chao Li, Zhi-Qi Cheng
Hypergraph Transformer for Skeleton-based Action Recognition. CoRR abs/2211.09590 (2022) - [i31]Peter Lorenz, Margret Keuper, Janis Keuper:
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection. CoRR abs/2212.06776 (2022) - 2021
- [j3]Bernhard Schäfer
Arrow R-CNN for handwritten diagram recognition. Int. J. Document Anal. Recognit. 24(1): 3-17 (2021) - [c37]Steffen Jung, Margret Keuper:
Spectral Distribution Aware Image Generation. AAAI 2021: 1734-1742 - [c36]Amrutha Saseendran, Kathrin Skubch, Margret Keuper:
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation. ICCV 2021: 6742-6751 - [c35]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. IJCAI 2021: 2534-2541 - [c34]Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper:
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. IJCNN 2021: 1-8 - [c33]Jovita Lukasik, David Friede, Arber Zela, Frank Hutter, Margret Keuper:
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. IJCNN 2021: 1-8 - [c32]Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper:
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders. NeurIPS 2021: 7319-7332 - [c31]Kalun Ho, Avraam Chatzimichailidis, Margret Keuper, Janis Keuper:
MSM: Multi-stage Multicuts for Scalable Image Clustering. ISC Workshops 2021: 267-284 - [c30]Amirhossein Kardoost, Margret Keuper:
Uncertainty in minimum cost multicuts for image and motion segmentation. UAI 2021: 2029-2038 - [i30]Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper:
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. CoRR abs/2103.03000 (2021) - [i29]Amrutha Saseendran, Kathrin Skubch, Margret Keuper:
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation. CoRR abs/2103.16795 (2021) - [i28]Amirhossein Kardoost, Margret Keuper:
Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation. CoRR abs/2105.07469 (2021) - [i27]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. CoRR abs/2105.14376 (2021) - [i26]Kalun Ho, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper:
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space. CoRR abs/2106.12303 (2021) - [i25]Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller:
DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity. CoRR abs/2108.05647 (2021) - [i24]Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper:
Detecting AutoAttack Perturbations in the Frequency Domain. CoRR abs/2111.08785 (2021) - [i23]Peter Lorenz, Dominik Strassel, Margret Keuper, Janis Keuper:
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? CoRR abs/2112.01601 (2021) - [i22]Steffen Jung, Sebastian Ziegler, Amirhossein Kardoost, Margret Keuper:
Optimizing Edge Detection for Image Segmentation with Multicut Penalties. CoRR abs/2112.05416 (2021) - 2020
- [j2]Margret Keuper
Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 140-153 (2020) - [c29]Amirhossein Kardoost
Self-supervised Sparse to Dense Motion Segmentation. ACCV (2) 2020: 421-437 - [c28]Kalun Ho, Amirhossein Kardoost, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper:
A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking. ACCV (2) 2020: 539-557 - [c27]Ricard Durall, Margret Keuper, Janis Keuper:
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions. CVPR 2020: 7887-7896 - [c26]Jovita Lukasik
Neural Architecture Performance Prediction Using Graph Neural Networks. GCPR 2020: 188-201 - [c25]Anna Primpeli
Unsupervised Bootstrapping of Active Learning for Entity Resolution. ESWC 2020: 215-231 - [c24]Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper:
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. ICPR 2020: 87-94 - [c23]Amirhossein Kardoost, Sabine Müller, Joachim Weickert, Margret Keuper:
Object Segmentation Tracking from Generic Video Cues. ICPR 2020: 623-630 - [c22]Jovita Lukasik, Margret Keuper, Maneesh Singh, Julian Yarkony:
A Benders Decomposition Approach to Correlation Clustering. MLHPC/AI4S@SC 2020: 9-16 - [i21]Kalun Ho, Janis Keuper, Margret Keuper:
Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts. CoRR abs/2002.01192 (2020) - [i20]Ricard Durall, Margret Keuper, Janis Keuper:
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions. CoRR abs/2003.01826 (2020) - [i19]Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper:
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. CoRR abs/2007.03123 (2020) - [i18]Amirhossein Kardoost, Kalun Ho, Peter Ochs, Margret Keuper:
Self-supervised Sparse to Dense Motion Segmentation. CoRR abs/2008.07872 (2020) - [i17]Julien Siems, Lucas Zimmer, Arber Zela, Jovita Lukasik, Margret Keuper, Frank Hutter:
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search. CoRR abs/2008.09777 (2020) - [i16]Jovita Lukasik, David Friede, Arber Zela, Heiner Stuckenschmidt, Frank Hutter, Margret Keuper:
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. CoRR abs/2010.04683 (2020) - [i15]Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper:
Neural Architecture Performance Prediction Using Graph Neural Networks. CoRR abs/2010.10024 (2020) - [i14]Steffen Jung, Margret Keuper:
Spectral Distribution Aware Image Generation. CoRR abs/2012.03110 (2020)
2010 – 2019
- 2019
- [i13]Margret Keuper, Maneesh Singh, Julian Yarkony:
Massively Parallel Benders Decomposition for Correlation Clustering. CoRR abs/1902.05659 (2019) - [i12]Amirhossein Kardoost, Sabine Müller, Joachim Weickert, Margret Keuper:
Object Segmentation Tracking from Generic Video Cues. CoRR abs/1910.02258 (2019) - [i11]Ricard Durall, Margret Keuper, Franz-Josef Pfreundt, Janis Keuper:
Unmasking DeepFakes with simple Features. CoRR abs/1911.00686 (2019) - [i10]David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper:
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction. CoRR abs/1912.05317 (2019) - 2018
- [c21]Amirhossein Kardoost, Margret Keuper:
Solving Minimum Cost Lifted Multicut Problems by Node Agglomeration. ACCV (4) 2018: 74-89 - [c20]Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox:
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. ECCV (12) 2018: 626-643 - [e1]Rainer Gemulla, Simone Paolo Ponzetto, Christian Bizer, Margret Keuper, Heiner Stuckenschmidt:
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", LWDA 2018, Mannheim, Germany, August 22-24, 2018. CEUR Workshop Proceedings 2191, CEUR-WS.org 2018 [contents] - [i9]Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox:
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. CoRR abs/1808.01838 (2018) - 2017
- [c19]Eddy Ilg, Nikolaus Mayer
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CVPR 2017: 1647-1655 - [c18]Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz:
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. CVPR 2017: 7158-7167 - [c17]Yang He, Margret Keuper, Bernt Schiele, Mario Fritz:
Learning Dilation Factors for Semantic Segmentation of Street Scenes. GCPR 2017: 41-51 - [c16]Anne S. Wannenwetsch, Margret Keuper, Stefan Roth:
ProbFlow: Joint Optical Flow and Uncertainty Estimation. ICCV 2017: 1182-1191 - [c15]Margret Keuper:
Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation. ICCV 2017: 4252-4260 - [i8]Margret Keuper:
Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation. CoRR abs/1704.01811 (2017) - [i7]Anne S. Wannenwetsch, Margret Keuper, Stefan Roth:
ProbFlow: Joint Optical Flow and Uncertainty Estimation. CoRR abs/1708.06509 (2017) - [i6]Yang He, Margret Keuper, Bernt Schiele, Mario Fritz:
Learning Dilation Factors for Semantic Segmentation of Street Scenes. CoRR abs/1709.01956 (2017) - 2016
- [c14]Margret Keuper, Thomas Brox:
Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency. ECCV Workshops (3) 2016: 789-803 - [p1]Margret Keuper, Thomas Brox:
Segmentation in Point Clouds from RGB-D Using Spectral Graph Reduction. Perspectives in Shape Analysis 2016: 155-168 - [i5]Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz:
RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. CoRR abs/1604.02388 (2016) - [i4]Margret Keuper, Thomas Brox:
Point-wise mutual information-based video segmentation with high temporal consistency. CoRR abs/1606.02467 (2016) - [i3]Margret Keuper, Siyu Tang, Zhongjie Yu, Bjoern Andres, Thomas Brox, Bernt Schiele:
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects. CoRR abs/1607.06317 (2016) - [i2]Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox:
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CoRR abs/1612.01925 (2016) - 2015
- [c13]Margret Keuper, Evgeny Levinkov, Nicolas Bonneel
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. ICCV 2015: 1751-1759 - [c12]Margret Keuper, Bjoern Andres
Motion Trajectory Segmentation via Minimum Cost Multicuts. ICCV 2015: 3271-3279 - [i1]Margret Keuper, Evgeny Levinkov, Nicolas Bonneel, Guillaume Lavoué, Thomas Brox, Bjoern Andres:
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. CoRR abs/1505.06973 (2015) - 2014
- [c11]Fabio Galasso
Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation. CVPR 2014: 49-56 - 2013
- [j1]Thorsten Schmidt, Jasmin Dürr, Margret Keuper, Thomas Blein
Variational attenuation correction in two-view confocal microscopy. BMC Bioinform. 14: 366 (2013) - [c10]Margret Keuper, Thorsten Schmidt, Maja Temerinac-Ott
Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF). CVPR 2013: 2179-2186 - [c9]Thorsten Schmidt, Jasmin Dürr, Margret Keuper, Thomas Blein
Variational attenuation correction of two-view confocal microscopic recordings. ISBI 2013: 169-172 - 2012
- [c8]Thorsten Schmidt, Margret Keuper, Taras Pasternak
Modeling of Sparsely Sampled Tubular Surfaces Using Coupled Curves. DAGM/OAGM Symposium 2012: 83-92 - [c7]Margret Keuper, Maja Temerinac-Ott
Blind deconvolution with PSF regularization for wide-field microscopy. ISBI 2012: 1292-1295 - 2011
- [c6]Margret Keuper, Thorsten Schmidt, Marta Rodriguez-Franco
Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings. ISBI 2011: 973-978 - 2010
- [c5]Margret Keuper, Robert Bensch, Karsten Voigt, Alexander Dovzhenko, Klaus Palme, Hans Burkhardt, Olaf Ronneberger:
Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation. DAGM-Symposium 2010: 462-471 - [c4]Margret Keuper, Thorsten Schmidt, Jan Padeken, Patrick Heun
3D Deformable Surfaces with Locally Self-Adjusting Parameters - A Robust Method to Determine Cell Nucleus Shapes. ICPR 2010: 2254-2257 - [c3]Maja Temerinac-Ott
Evaluation of a New Point Clouds Registration Method Based on Group Averaging Features. ICPR 2010: 2452-2455 - [c2]Margret Keuper, Hans Burkhardt, Olaf Ronneberger, Jan Padeken, Patrick Heun
Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces. ICPR 2010: 2784-2787
2000 – 2009
- 2009
- [c1]Margret Keuper, Jan Padeken, Patrick Heun
A 3D Active Surface Model for the Accurate Segmentation of Drosophila Schneider Cell Nuclei and Nucleoli. ISVC (1) 2009: 865-874
Coauthor Index
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