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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) - [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 - [i60]Yumeng Li
, Margret Keuper, Dan Zhang, Anna Khoreva:
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive. CoRR abs/2401.08815 (2024) - [i59]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) - [i58]Yumeng Li
, William Beluch, Margret Keuper, Dan Zhang, Anna Khoreva:
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis. CoRR abs/2403.13501 (2024) - [i57]Yuxuan Zhou, Mario Fritz, Margret Keuper:
MultiMax: Sparse and Multi-Modal Attention Learning. CoRR abs/2406.01189 (2024) - [i56]Shashank Agnihotri, Julia Grabinski, Janis Keuper, Margret Keuper:
Beware of Aliases - Signal Preservation is Crucial for Robust Image Restoration. CoRR abs/2406.07435 (2024) - [i55]Ugur Ali Kaplan, Margret Keuper, Anna Khoreva, Dan Zhang, Yumeng Li:
Domain-Aware Fine-Tuning of Foundation Models. CoRR abs/2407.03482 (2024) - 2023
- [j6]Evgeny Levinkov
, Amirhossein Kardoost
, Bjoern Andres
, Margret Keuper
:
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
, Janis Keuper, Margret Keuper:
An Extended Study of Human-like Behavior under Adversarial Training. CVPR Workshops 2023: 2361-2368 - [c53]Katharina Prasse
, Steffen Jung
, Yuxuan Zhou
, Margret Keuper
:
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
, Michael Moeller
, Margret Keuper
:
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
, Janis Keuper, Margret Keuper:
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
, Jun-Yan He, Bin Luo, Yifeng Geng, Xuansong Xie, Margret Keuper:
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
, Margret Keuper, Dan Zhang, Anna Khoreva:
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
, Janis Keuper
, Margret Keuper
:
Aliasing and adversarial robust generalization of CNNs. Mach. Learn. 111(11): 3925-3951 (2022) - [c45]Yuxuan Zhou
, Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Lei Zhang, Margret Keuper, Xian-Sheng Hua:
SP-ViT: Learning 2D Spatial Priors for Vision Transformers. BMVC 2022: 564 - [c44]Steffen Jung
, Sebastian Ziegler, Amirhossein Kardoost
, Margret Keuper
:
Optimizing Edge Detection for Image Segmentation with Multicut Penalties. GCPR 2022: 182-197 - [c43]Julia Grabinski
, Steffen Jung
, Janis Keuper
, Margret Keuper
:
FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting. ECCV (14) 2022: 36-57 - [c42]Jovita Lukasik
, Steffen Jung
, Margret Keuper
:
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
, Margret Keuper
:
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
, Janis Keuper, Margret Keuper:
Robust Models are less Over-Confident. CoRR abs/2210.05938 (2022) - [i33]Yumeng Li
, Dan Zhang, Margret Keuper, Anna Khoreva:
Intra-Source Style Augmentation for Improved Domain Generalization. CoRR abs/2210.10175 (2022) - [i32]Yuxuan Zhou, Chao Li, Zhi-Qi Cheng
, Yifeng Geng, Xuansong Xie, Margret Keuper:
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
, Margret Keuper
, Heiner Stuckenschmidt
:
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
, Siyu Tang
, Bjoern Andres
, Thomas Brox, Bernt Schiele
:
Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 140-153 (2020) - [c29]Amirhossein Kardoost
, Kalun Ho, Peter Ochs
, Margret Keuper
:
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
, David Friede, Heiner Stuckenschmidt
, Margret Keuper
:
Neural Architecture Performance Prediction Using Graph Neural Networks. GCPR 2020: 188-201 - [c25]Anna Primpeli
, Christian Bizer
, Margret Keuper:
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
, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox:
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
, Guillaume Lavoué, Thomas Brox, Bjoern Andres
:
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. ICCV 2015: 1751-1759 - [c12]Margret Keuper, Bjoern Andres
, Thomas Brox:
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
, Margret Keuper, Thomas Brox, Bernt Schiele
:
Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation. CVPR 2014: 49-56 - 2013
- [j1]Thorsten Schmidt, Jasmin Dürr, Margret Keuper, Thomas Blein
, Klaus Palme, Olaf Ronneberger:
Variational attenuation correction in two-view confocal microscopy. BMC Bioinform. 14: 366 (2013) - [c10]Margret Keuper, Thorsten Schmidt, Maja Temerinac-Ott
, Jan Padeken, Patrick Heun
, Olaf Ronneberger, Thomas Brox:
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
, Klaus Palme, Olaf Ronneberger:
Variational attenuation correction of two-view confocal microscopic recordings. ISBI 2013: 169-172 - 2012
- [c8]Thorsten Schmidt, Margret Keuper, Taras Pasternak
, Klaus Palme, Olaf Ronneberger:
Modeling of Sparsely Sampled Tubular Surfaces Using Coupled Curves. DAGM/OAGM Symposium 2012: 83-92 - [c7]Margret Keuper, Maja Temerinac-Ott
, Jan Padeken, Patrick Heun
, Thomas Brox, Hans Burkhardt, Olaf Ronneberger:
Blind deconvolution with PSF regularization for wide-field microscopy. ISBI 2012: 1292-1295 - 2011
- [c6]Margret Keuper, Thorsten Schmidt, Marta Rodriguez-Franco
, Wolfgang Schamel, Thomas Brox, Hans Burkhardt, Olaf Ronneberger:
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
, Klaus Palme, Hans Burkhardt, Olaf Ronneberger:
3D Deformable Surfaces with Locally Self-Adjusting Parameters - A Robust Method to Determine Cell Nucleus Shapes. ICPR 2010: 2254-2257 - [c3]Maja Temerinac-Ott
, Margret Keuper, Hans Burkhardt:
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
, Hans Burkhardt, Olaf Ronneberger:
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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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-04 00:29 CEST by the dblp team
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